Spector, T. D. (2013). Identically different: Why we can change our genes. Overlook Press.Google Scholar

Allen, M., & Tsakiris, M. (2018). The body as first prior: Interoceptive predictive processing and the primacy of self–models. In Tsakiris, M. & De Preester, H. (Eds.), The interoceptive mind: From homeostasis to awareness (pp. 27–45). Oxford University Press. https://doi.org/10.1093/oso/9780198811930.003.0002Google Scholar

Barrett, L. F. (2006a). Are emotions natural kinds? Perspectives on Psychological Science, 1(1), 28–58. https://doi.org/10.1111/j.1745-6916.2006.00003.xGoogle Scholar

Barrett, L. F. (2006b). Solving the emotion paradox: Categorization and the experience of emotion. Personality and Social Psychology Review, 10(1), 20–46. https://doi.org/10.1207/s15327957pspr1001_2Google Scholar

Barrett, L. F. (2017). How emotions are made: The secret life of the brain. Houghton Mifflin Harcourt.Google Scholar

Boddice, R. (Ed.). (2014). Pain and emotion in modern history. Palgrave Macmillan. https://doi.org/10.1057/9781137372437Google Scholar

Boddice, R. (2016). The science of sympathy: Morality, evolution and Victorian civilization. University of Illinois Press. www.jstor.org/stable/10.5406/j.ctt1hfr069CrossRefGoogle Scholar

Boddice, R. (2018a). The history of emotions. Manchester University Press.Google Scholar

Boddice, R. (with Smail, Daniel Lord). (2018b). Neurohistory. In Tamm, M. & Burke, P. (Eds.), Debating new approaches to history (pp. 301–25). Bloomsbury.Google Scholar

Boddice, R. (2019). A history of feelings. Reaktion Books Ltd.Google Scholar

Boddice, R., & Smith, M. (2020). Emotion, sense, experience. Cambridge University Press.CrossRefGoogle Scholar

Bourke, J. (2005). Fear: A cultural history. Virago.Google Scholar

Bourke, J. (2014). The story of pain: From prayer to painkillers. Oxford University Press.Google Scholar

Burman, J. T. (2012). History from within? Contextualizing the new neurohistory and seeking its methods. History of Psychology, 15(1), 84–99. https://doi.org/10.1037/a0023500Google Scholar

Cohen, E. (2009). The modulated scream: Pain in late medieval culture. University of Chicago Press.Google Scholar

Dixon, T. (2003). From passions to emotions: The creation of a secular psychological category. Cambridge University Press.Google Scholar

Eustace, N. (2008). Passion is the gale: Emotion, power, and the coming of the American Revolution. University of North Carolina Press.Google Scholar

Febvre, L. (1941). La sensibilité et l’histoire: Comment reconstituer la vie affective d’autrefois? Annales D’histoire Sociale (1939–1941), 3(1–2), 5–20. http://www.jstor.org/stable/27574143Google Scholar

Febvre, L. (1992). Une vue d’ensemble: Histoire et psychologie. In Toussaint, R. & Simonet, J.-M. (Eds.), Combats pour l’histoire (pp. 207–20). Armand Colin. (Original work published 1938)Google Scholar

Frevert, U. (2011). Emotions in history: Lost and found. Central European University Press. www.jstor.org/stable/10.7829/j.ctt1281z9Google Scholar

Geroulanos, S., & Meyers, T. (2018). The human body in the age of catastrophe: Brittleness, integration, science and the Great War. University of Chicago Press.Google Scholar

Gross, D. M. (2006). The secret history of emotion: From Aristotle’s rhetoric to modern brain science. University of Chicago Press.Google Scholar

Hoemann, K., Xu, F., & Barrett, L. F. (2019). Emotion words, emotion concepts, and emotional development in children: A constructionist hypothesis. Developmental Psychology, 55(9), 1830–49. https://doi.org/10.1037/dev0000686Google Scholar

Lanzoni, S. (2018). Empathy: A history. Yale University Press.Google Scholar

Leder, D. (2018). Inside insight: A phenomenology of interoception. In Tsakiris, M. & De Preester, H. (Eds.), The interoceptive mind: From homeostasis to awareness (pp. 307–22). Oxford University Press. https://doi.org/10.1093/oso/9780198811930.003.0017Google Scholar

Lock, M., & Kaufert, P. (2001). Menopause, local biologies, and cultures of aging. American Journal of Human Biology, 13(4), 494–504. https://doi.org/10.1002/ajhb.1081Google Scholar

Lock, M., & Palsson, G. (2016). Can science resolve the nature/nurture debate? Polity Press.Google Scholar

McGrath, L. S. (2017). Historiography, affect, and the neurosciences. History of Psychology, 20(2), 129–47. https://doi.org/10.1037/hop0000047Google Scholar

Meloni, M. (2016). Political biology: Science and social values in human heredity from eugenics to epigenetics. Palgrave Macmillan. https://doi.org/10.1057/9781137377722Google Scholar

Moscoso, J. (2012). Pain: A cultural history (Thomas, S. & House, P., Trans.). Palgrave Macmillan. https://doi.org/10.1057/9781137284235Google Scholar

Plamper, J. (2015). The history of emotions: An introduction (Tribe, K., Trans.). Oxford University Press.Google Scholar

Reckwitz, A. (2012). Affective spaces: A praxeological outlook. Rethinking History, 16(2), 241–58. https://doi.org/10.1080/13642529.2012.681193CrossRefGoogle Scholar

Reddy, W. M. (1997). Against constructionism: The historical ethnography of emotions. Current Anthropology, 38(3), 327–51. https://doi.org/10.1086/204622Google Scholar

Reddy, W. M. (2001). The navigation of feeling: A framework for the history of emotions. Cambridge University Press.Google Scholar

Rosenwein, B. H. (2002). Worrying about emotions in history. The American Historical Review, 107(3), 821–45. https://doi.org/10.1086/ahr/107.3.821Google Scholar

Scheer, M. (2012). Are emotions a kind of practice (and is that what makes them have a history)? A Bourdieuian approach to understanding emotion. History and Theory, 51(2), 193–220. https://doi.org/10.1111/j.1468-2303.2012.00621.xGoogle Scholar

Smail, D. L. (2008). On deep history and the brain. University of California Press. www.jstor.org/stable/10.1525/j.ctt1pp7mzGoogle Scholar

Smith, M. M. (2007). Sensing the past: Seeing, hearing, smelling, tasting, and touching in history. University of California Press.Google Scholar

Stearns, P. N., & Stearns, C. Z. (1985). Emotionology: Clarifying the history of emotions and emotional standards. The American Historical Review, 90(4), 813–36. https://doi.org/10.1086/ahr/90.4.813CrossRefGoogle ScholarPubMed

Sullivan, E. (2016). Beyond melancholy: Sadness and selfhood in renaissance England. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198739654.001.0001Google Scholar

Vallgårda, K., Alexander, K., & Olsen, S. (2015). Emotions and the global politics of childhood. In Olsen, S. (Ed.), Childhood, youth and emotions in modern history: National, colonial and global perspectives (pp. 12–34). Palgrave Macmillan. https://doi.org/10.1057/9781137484840_2Google Scholar

van Dijkhuizen, J. F., & Enenkel, K. A. E. (Eds.). (2009). The sense of suffering: Constructions of physical pain in early modern culture. Brill. https://doi.org/10.1163/ej.9789004172470.i-520Google Scholar

von Mohr, M., & Fotopoulou, A. (2018). The cutaneous borders of interoception: Active and social inference of pain and pleasure on the skin. In Tsakiris, M. & De Preester, H. (Eds.), The interoceptive mind: From homeostasis to awareness (pp. 102–20). Oxford University Press. https://doi.org/10.1093/oso/9780198811930.003.0006Google Scholar

Alvarez, P., Zola-Morgan, S., & Squire, L. R. (1995). Damage limited to the hippocampal region produces long-lasting memory impairment in monkeys. Journal of Neuroscience, 15(5 Pt 2), 3796–807. https://doi.org/10.1523/JNEUROSCI.15-05-03796.1995Google Scholar

Amico, F., Meisenzahl, E., Koutsouleris, N., Reiser, M., Möller, H. J., & Frodl, T. (2011). Structural MRI correlates for vulnerability and resilience to major depressive disorder. Journal of Psychiatry and Neuroscience, 36(1), 15–22. https://doi.org/10.1503/jpn.090186Google Scholar

Andersen, N. E., Dahmani, L., Konishi, K., & Bohbot, V. D. (2012). Eye tracking, strategies, and sex differences in virtual navigation. Neurobiology of Learning and Memory, 97(1), 81–9. https://doi.org/10.1016/j.nlm.2011.09.007Google Scholar

Apostolova, L. G., Dutton, R. A., Dinov, I. D., Hayashi, K. M., Toga, A. W., Cummings, J. L., & Thompson, P. M. (2006). Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps. Archives of Neurology, 63(5), 693–9. https://doi.org/10.1001/archneur.63.5.693Google Scholar

Barnes, C. A., Nadel, L., & Honig, W. K. (1980). Spatial memory deficit in senescent rats. Canadian Journal of Psychology/Revue canadienne de psychologie, 34(1), 29–39. https://doi.org/10.1037/h0081022Google Scholar

Bherer, L., Kramer, A. F., Peterson, M. S., Colcombe, S., Erickson, K., & Becic, E. (2006). Testing the limits of cognitive plasticity in older adults: Application to attentional control. Acta Psychologica, 123(3), 261–78. https://doi.org/10.1016/j.actpsy.2006.01.005Google Scholar

Bohbot, V. D., Del Balso, D., Conrad, K., Konishi, K., & Leyton, M. (2013). Caudate nucleus-dependent navigational strategies are associated with increased use of addictive drugs. Hippocampus, 23(11), 973–84. https://doi.org/10.1002/hipo.22187Google Scholar

Bohbot, V. D., Iaria, G., & Petrides, M. (2004). Hippocampal function and spatial memory: Evidence from functional neuroimaging in healthy participants and performance of patients with medial temporal lobe resections. Neuropsychology, 18(3), 418–25. https://doi.org/10.1037/0894-4105.18.3.418CrossRefGoogle ScholarPubMed

Bohbot, V. D., Konishi, K., Sodums, D., Dahmani, L., & Bherer, L. (2015, October). Hippocampus and cortical plasticity following a virtual spatial memory intervention program promote spontaneous hippocampus-dependent navigation strategies in healthy older adults [Paper presentation]. Society for Neuroscience, 45th Annual Meeting, Chicago, IL, United States.Google Scholar

Bohbot, V. D., Lerch, J., Thorndycraft, B., Iaria, G., & Zijdenbos, A. P. (2007). Gray matter differences correlate with spontaneous strategies in a human virtual navigation task. Journal of Neuroscience, 27(38), 10078–83. https://doi.org/10.1523/JNEUROSCI.1763-07.2007Google Scholar

Bohbot, V. D., McKenzie, S., Konishi, K., Fouquet, C., Kurdi, V., Schachar, R., Boivin, M., & Robaey, P. (2012). Virtual navigation strategies from childhood to senescence: Evidence for changes across the life span. Frontiers in Aging Neuroscience, 4, 28. https://doi.org/10.3389/fnagi.2012.00028Google Scholar

Boyke, J., Driemeyer, J., Gaser, C., Büchel, C., & May, A. (2008). Training-induced brain structure changes in the elderly. Journal of Neuroscience, 28(28), 7031–5. https://doi.org/10.1523/JNEUROSCI.0742-08.2008Google Scholar

Chang, Q., & Gold, P. E. (2003). Switching memory systems during learning: Changes in patterns of brain acetylcholine release in the hippocampus and striatum in rats. Journal of Neuroscience, 23(7), 3001–5. https://doi.org/10.1523/JNEUROSCI.23-07-03001.2003Google Scholar

Cohen, N. J., Poldrack, R. A., & Eichenbaum, H. (1997). Memory for items and memory for relations in the procedural/declarative memory framework. Memory, 5(1–2), 131–78. https://doi.org/10.1080/741941149Google Scholar

Conejero-Goldberg, C., Gomar, J. J., Bobes-Bascaran, T., Hyde, T. M., Kleinman, J. E., Herman, M. M., Chen, S., Davies, P., & Goldberg, T. E. (2014). APOE2 enhances neuroprotection against Alzheimer’s disease through multiple molecular mechanisms. Molecular Psychiatry, 19(11), 1243–50. https://doi.org/10.1038/mp.2013.194Google Scholar

de Toledo-Morrell, L., Goncharova, I., Dickerson, B., Wilson, R.S., & Bennett, D.A. (2000). From healthy aging to early Alzheimer’s disease: In vivo detection of entorhinal cortex atrophy. Annals of the New York Academy of Sciences, 911, 240–53. https://nyaspubs.onlinelibrary.wiley.com/doi/abs/10.1111/j.1749-6632.2000.tb06730.x?sid=nlm%3ApubmedGoogle Scholar

Draganski, B., Gaser, C., Kempermann, G., Kuhn, H. G., Winkler, J., Büchel, C., & May, A. (2006). Temporal and spatial dynamics of brain structure changes during extensive learning. Journal of Neuroscience, 26(23), 6314–17. https://doi.org/10.1523/JNEUROSCI.4628-05.2006Google Scholar

Eichenbaum, H., Stewart, C., & Morris, R. G. (1990). Hippocampal representation in place learning. Journal of Neuroscience, 10(11), 3531–42. https://doi.org/10.1523/JNEUROSCI.10-11-03531.1990Google Scholar

Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., Kim, J. S., Heo, S., Alves, H., White, S. M., Wojcicki, T. R., Mailey, E., Vieira, V. J., Martin, S. A., Pence, B. D., Woods, J. A., McAuley, E., & Kramer, A. F. (2011). Exercise training increases size of hippocampus and improves memory. Proceedings of the National Academy of Sciences of the United States of America, 108(7), 3017–22. https://doi.org/10.1073/pnas.1015950108Google ScholarPubMed

Etchamendy, N., & Bohbot, V. D. (2007). Spontaneous navigational strategies and performance in the virtual town. Hippocampus, 17(8), 595–9. https://doi.org/10.1002/hipo.20303Google Scholar

Etchamendy, N., Konishi, K., Pike, G. B., Marighetto, A., & Bohbot, V. D. (2012). Evidence for a virtual human analog of a rodent relational memory task: A study of aging and fMRI in young adults. Hippocampus, 22(4), 869–80. https://doi.org/10.1002/hipo.20948Google Scholar

Filippi, M., Ceccarelli, A., Pagani, E., Gatti, R., Rossi, A., Stefanelli, L., Falini, A., Comi, G., & Rocca, M. A. (2010). Motor learning in healthy humans is associated to gray matter changes: A tensor-based morphometry study. PLoS ONE, 5(4), e10198. https://doi.org/10.1371/journal.pone.0010198Google Scholar

Gardner, R. S., Gold, P. E., & Korol, D. L. (2018, November). A multiple memory systems approach to understanding cognitive aging: Not all aging is equal [Paper presentation]. Society for Neuroscience, 48th Annual Meeting, San Diego, CA, United States.Google Scholar

Gearbox Software. (2009). Borderlands [Video game]. 2K Games. https://borderlands.com/en-US/Google Scholar

Gilbertson, M. W., Shenton, M. E., Ciszewski, A., Kasai, K., Lasko, N. B., Orr, S. P., & Pitman, R. K. (2002). Smaller hippocampal volume predicts pathologic vulnerability to psychological trauma. Nature Neuroscience, 5(11), 1242–7. https://doi.org/10.1038/nn958Google Scholar

Gould, E., Beylin, A., Tanapat, P., Reeves, A., & Shors, T. J. (1999). Learning enhances adult neurogenesis in the hippocampal formation. Nature Neuroscience, 2(3), 260–5. https://doi.org/10.1038/6365Google Scholar

Gould, E., Reeves, A. J., Fallah, M., Tanapat, P., Gross, C. G., & Fuchs, E. (1999). Hippocampal neurogenesis in adult Old World primates. Proceedings of the National Academy of Sciences of the United States of America, 96(9), 5263–7. https://doi.org/10.1073/pnas.96.9.5263Google Scholar

Haroutunian, V., Perl, D. P., Purohit, D. P., Marin, D., Khan, K., Lantz, M., Davis, K. L., & Mohs, R. C. (1998). Regional distribution of neuritic plaques in the nondemented elderly and subjects with very mild Alzheimer disease. Archives of Neurology, 55(9), 1185–91. https://jamanetwork.com/journals/jamaneurology/fullarticle/774252Google Scholar

Hartley, T., Maguire, E. A., Spiers, H. J., & Burgess, N. (2003). The well-worn route and the path less traveled: Distinct neural bases of route following and wayfinding in humans. Neuron, 37(5), 877–88. https://doi.org/10.1016/S0896-6273(03)00095-3Google Scholar

Head, D., & Isom, M. (2010). Age effects on wayfinding and route learning skills. Behavioural Brain Research, 209(1), 49–58. https://doi.org/10.1016/j.bbr.2010.01.012Google Scholar

Iaria, G., Petrides, M., Dagher, A., Pike, B., & Bohbot, V. D. (2003). Cognitive strategies dependent on the hippocampus and caudate nucleus in human navigation: Variability and change with practice. Journal of Neuroscience, 23(13), 5945–52. https://doi.org/10.1523/JNEUROSCI.23-13-05945.2003Google Scholar

Infinity Ward. (2003). Call of Duty [Video game]. Activision. https://www.callofduty.com/Google Scholar

Kempermann, G., Brandon, E. P., & Gage, F. H. (1998). Environmental stimulation of 129/SvJ mice causes increased cell proliferation and neurogenesis in the adult dentate gyrus. Current Biology, 8(16), 939–42. https://doi.org/10.1016/S0960-9822(07)00377-6Google Scholar

Kempermann, G., Kuhn, H. G., & Gage, F. H. (1998). Experience-induced neurogenesis in the senescent dentate gyrus. Journal of Neuroscience, 18(9), 3206–12. https://doi.org/10.1523/JNEUROSCI.18-09-03206.1998Google Scholar

Kim, J. J., Lee, H. J., Han, J. S., & Packard, M. G. (2001). Amygdala is critical for stress-induced modulation of hippocampal long-term potentiation and learning. Journal of Neuroscience, 21(14), 5222–8. https://doi.org/10.1523/JNEUROSCI.21-14-05222.2001Google Scholar

Konishi, K., Bhat, V., Banner, H., Poirier, J., Joober, R., & Bohbot, V. D. (2016). APOE2 is associated with spatial navigational strategies and increased gray matter in the hippocampus. Frontiers in Human Neuroscience, 10, 349. https://doi.org/10.3389/fnhum.2016.00349Google Scholar

Konishi, K., & Bohbot, V. D. (2013). Spatial navigational strategies correlate with gray matter in the hippocampus of healthy older adults tested in a virtual maze. Frontiers in Aging Neuroscience, 5, 1. https://doi.org/10.3389/fnagi.2013.00001Google Scholar

Konishi, K., Etchamendy, N., Roy, S., Marighetto, A., Rajah, N., & Bohbot, V. D. (2013). Decreased functional magnetic resonance imaging activity in the hippocampus in favor of the caudate nucleus in older adults tested in a virtual navigation task. Hippocampus, 23(11), 1005–14. https://doi.org/10.1002/hipo.22181Google Scholar

Kühn, S., & Gallinat, J. (2014). Amount of lifetime video gaming is positively associated with entorhinal, hippocampal and occipital volume. Molecular Psychiatry, 19(7), 842–7. https://doi.org/10.1038/mp.2013.100Google Scholar

Kühn, S., Gleich, T., Lorenz, R. C., Lindenberger, U., & Gallinat, J. (2014). Playing Super Mario induces structural brain plasticity: Gray matter changes resulting from training with a commercial video game. Molecular Psychiatry, 19(2), 265–71. https://doi.org/10.1038/mp.2013.120Google Scholar

La Grutta, V., Sabatino, M., Gravante, G., Morici, G., Ferraro, G., & La Grutta, G. (1988). A study of caudate inhibition on an epileptic focus in the cat hippocampus. Archives Internationales de Physiologie et de Biochimie, 96(2), 113–20. https://doi.org/10.3109/13813458809079632Google Scholar

Lee, D. W., Miyasato, L. E., & Clayton, N. S. (1998). Neurobiological bases of spatial learning in the natural environment: Neurogenesis and growth in the avian and mammalian hippocampus. NeuroReport, 9(7), R15–R27. https://doi.org/10.1097/00001756-199805110-00076Google Scholar

Leong, K. C., & Packard, M.G. (2014). Exposure to predator odor influences the relative use of multiple memory systems: Role of basolateral amygdala. Neurobiology of Learning and Memory, 109, 56–61. www.sciencedirect.com/science/article/pii/S1074742713002438?via%3DihubGoogle Scholar

Lerch, J. P., Yiu, A. P., Martínez-Canabal, A., Pekar, T., Bohbot, V. D., Frankland, P. W., Henkelman, R. M., Josselyn, S. A., & Sled, J. G. (2011). Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning. NeuroImage, 54(3), 2086–95. https://doi.org/10.1016/j.neuroimage.2010.09.086Google Scholar

Lin, S. Y., Calcott, R., Germann, J., Konishi, K., Bohbot, V. D., & Lerch, J. P. (2012, October). Decreased use of hippocampus-dependent spatial strategy in favor of caudate nucleus-dependent response strategy from childhood to adolescence [Poster presentation]. Society for Neuroscience, 42nd Annual Meeting, New Orleans, LA, United States.Google Scholar

Lupien, S. J., de Leon, M., de Santi, S., Convit, A., Tarshish, C., Nair, N. P. V., Thakur, M., McEwen, B. S., Hauger, R. L., & Meaney, M. J. (1998). Cortisol levels during human aging predict hippocampal atrophy and memory deficits. Nature Neuroscience, 1(1), 69–73. https://doi.org/10.1038/271Google Scholar

Lustig, C., Shah, P., Seidler, R., & Reuter-Lorenz, P. A. (2009). Aging, training, and the brain: A review and future directions. Neuropsychology Review, 19(4), 504–22. https://doi.org/10.1007/s11065-009-9119-9Google Scholar

Maguire, E. A., Spiers, H. J., Good, C. D., Hartley, T., Frackowiak, R. S., & Burgess, N. (2003). Navigation expertise and the human hippocampus: A structural brain imaging analysis. Hippocampus, 13(2), 250–9. https://doi.org/10.1002/hipo.10087Google Scholar

McDonald, R. J., & White, N. M. (1993). A triple dissociation of memory systems: Hippocampus, amygdala, and dorsal striatum. Behavioral Neuroscience, 107(1), 3–22. https://doi.org/10.1037/0735-7044.107.1.3Google Scholar

Mishkin, M., & Petri, H. L. (1984). Memories and habits: Some implications for the analysis of learning and retention. In Squire, L. R. & Butters, N. (Eds.), Neuropsychology of memory (pp. 287–96). Guilford Press.Google Scholar

Nintendo. (1996). Super Mario 64 [Video game]. Nintendo.Google Scholar

O’Dwyer, L., Lamberton, F., Matura, S., Tanner, C., Scheibe, M., Miller, J., Rujescu, D., Prvulovic, D., & Hampel, H. (2012). Reduced hippocampal volume in healthy young ApoE4 carriers: An MRI study. PLoS ONE, 7(11), e48895. https://doi.org/10.1371/journal.pone.0048895Google Scholar

O’Keefe, J., & Nadel, L. (1978). The hippocampus as a cognitive map. Oxford University Press. www.cognitivemap.net/Google Scholar

Packard, M. G., Hirsh, R., & White, N. M. (1989). Differential effects of fornix and caudate nucleus lesions on two radial maze tasks: Evidence for multiple memory systems. Journal of Neuroscience, 9(5), 1465–72. https://doi.org/10.1523/JNEUROSCI.09-05-01465.1989Google Scholar

Packard, M. G., & McGaugh, J. L. (1992). Double dissociation of fornix and caudate nucleus lesions on acquisition of two water maze tasks: Further evidence for multiple memory systems. Behavioral Neuroscience, 106(3), 439–46. https://doi.org/10.1037/0735-7044.106.3.439Google Scholar

Packard, M. G., & McGaugh, J. L. (1996). Inactivation of hippocampus or caudate nucleus with lidocaine differentially affects expression of place and response learning. Neurobiology of Learning and Memory, 65(1), 65–72. https://doi.org/10.1006/nlme.1996.0007Google Scholar

Pantelis, C., Velakoulis, D., McGorry, P. D., Wood, S. J., Suckling, J., Phillips, L. J., Yung, A. R., Bullmore, E. T., Brewer, W., Soulsby, B., Desmond, P., & McGuire, P. K. (2003). Neuroanatomical abnormalities before and after onset of psychosis: A cross-sectional and longitudinal MRI comparison. Lancet, 361(9354), 281–8. https://doi.org/10.1016/S0140-6736(03)12323-9Google Scholar

Pievani, M., Galluzzi, S., Thompson, P. M., Rasser, P. E., Bonetti, M., & Frisoni, G. B. (2011). APOE4 is associated with greater atrophy of the hippocampal formation in Alzheimer’s disease. NeuroImage, 55(3), 909–19. https://doi.org/10.1016/j.neuroimage.2010.12.081Google Scholar

Pinaud, R., Tremere, L. A., Penner, M. R., Hess, F. F., Robertson, H. A., & Currie, R. W. (2002). Complexity of sensory environment drives the expression of candidate-plasticity gene, nerve growth factor induced-A. Neuroscience, 112(3), 573–82. https://doi.org/10.1016/S0306-4522(02)00094-5Google Scholar

Price, J. L., & Morris, J. C. (1999). Tangles and plaques in nondemented aging and “preclinical” Alzheimer’s disease. Annals of Neurology, 45(3), 358–68. https://doi.org/10.1002/1531-8249(199903)45:3<358::AID-ANA12>3.0.CO;2-XGoogle Scholar

Sánchez-Benavides, G., Grau-Rivera, O., Suárez-Calvet, M., Minguillon, C., Cacciaglia, R., Gramunt, N.; ALFA Study, Falcon, C., Gispert, J. D., & Molinuevo, J. L. (2018). Brain and cognitive correlates of subjective cognitive decline-plus features in a population-based cohort. Alzheimer’s Research & Therapy, 10(1), 123. https://doi.org/10.1186/s13195-018-0449-9Google Scholar

Sankar, T., Li, S. X., Obuchi, T., Fasano, A., Cohn, M., Hodaie, M., Chakravarty, M. M., & Lozano, A. M. (2016). Structural brain changes following subthalamic nucleus deep brain stimulation in Parkinson’s disease. Movement Disorders, 31(9), 1423–5. https://doi.org/10.1002/mds.26707Google Scholar

Schinazi, V. R., Nardi, D., Newcombe, N. S., Shipley, T. F., & Epstein, R. A. (2013). Hippocampal size predicts rapid learning of a cognitive map in humans. Hippocampus, 23(6), 515–28. https://doi.org/10.1002/hipo.22111Google Scholar

Schwabe, L., Dalm, S., Schächinger, H., & Oitzl, M. S. (2008). Chronic stress modulates the use of spatial and stimulus-response learning strategies in mice and man. Neurobiology of Learning and Memory, 90(3), 495–503. https://doi.org/10.1016/j.nlm.2008.07.015Google Scholar

Schwabe, L., Oitzl, M. S., Philippsen, C., Richter, S., Bohringer, A., Wippich, W., & Schachinger, H. (2007). Stress modulates the use of spatial versus stimulus-response learning strategies in humans. Learning & Memory, 14(1), 109–16. https://doi.org/10.1101/lm.435807Google Scholar

Shohamy, D., & Adcock, R. A. (2010). Dopamine and adaptive memory. Trends in Cognitive Sciences, 14(10), 464–72. https://doi.org/10.1016/j.tics.2010.08.002Google Scholar

Smulders, T. V., Sasson, A. D., & DeVoogd, T. J. (1995). Seasonal variation in hippocampal volume in a food-storing bird, the black-capped chickadee. Journal of Neurobiology, 27(1), 15–25. https://doi.org/10.1002/neu.480270103Google Scholar

Squire, L. R., & Zola, S. M. (1996). Structure and function of declarative and nondeclarative memory systems. Proceedings of the National Academy of Sciences of the United States of America, 93(24), 13515–22. https://doi.org/10.1073/pnas.93.24.13515Google Scholar

Swan, G. E., & Lessov-Schlaggar, C. N. (2007). The effects of tobacco smoke and nicotine on cognition and the brain. Neuropsychology Review, 17(3), 259–73. https://doi.org/10.1007/s11065-007-9035-9Google Scholar

Tang, Y. Y., Lu, Q., Geng, X., Stein, E. A., Yang, Y., & Posner, M. I. (2010). Short-term meditation induces white matter changes in the anterior cingulate. Proceedings of the National Academy of Sciences of the United States of America, 107(35), 15649–52. https://doi.org/10.1073/pnas.1011043107Google Scholar

Techland. (2011). Dead Island [Video game]. Deep Silver. https://www.deepsilver.com/us/games/dead-island/Google Scholar

Tulving, E., & Markowitsch, H. J. (1998). Episodic and declarative memory: Role of the hippocampus. Hippocampus, 8(3), 198–204. https://doi.org/10.1002/(SICI)1098-1063(1998)8:3<198::AID-HIPO2>3.0.CO;2-GGoogle Scholar

West, G. L., Konishi, K., Diarra, M., Benady-Chorney, J., Drisdelle, B. L., Dahmani, L., Sodums, D. J., Lepore, F., Jolicoeur, P., & Bohbot, V. D. (2018). Impact of video games on plasticity of the hippocampus. Molecular Psychiatry, 23(7), 1566–74. https://doi.org/10.1038/mp.2017.155Google Scholar

West, G. L., Zendel, B. R., Konishi, K., Benady-Chorney, J., Bohbot, V. D., Peretz, I., & Belleville, S. (2017). Playing Super Mario 64 increases hippocampal grey matter in older adults. PLoS ONE, 12(12), e0187779. https://doi.org/10.1371/journal.pone.0187779Google Scholar

Wolbers, T., Weiller, C., & Büchel, C. (2004). Neural foundations of emerging route knowledge in complex spatial environments. Cognitive Brain Research, 21(3), 401–11. https://doi.org/10.1016/j.cogbrainres.2004.06.013Google Scholar

Woollett, K., & Maguire, E. A. (2011). Acquiring “the knowledge” of London’s layout drives structural brain changes. Current Biology, 21(24), 2109–14. https://doi.org/10.1016/j.cub.2011.11.018Google Scholar

Battro, A. M., Fischer, K. W., & Léna, P. J. (Eds.). (2008). The educated brain: Essays in neuroeducation. Cambridge University Press. https://doi.org/10.1017/CBO9780511489907Google Scholar

Berson, J. (2015). Computable bodies: Instrumented life and the human somatic niche. Bloomsbury.Google Scholar

Blakemore, S.-J. (2012). Development of the social brain in adolescence. Journal of the Royal Society of Medicine, 105(3), 111–16. https://doi.org/10.1258/jrsm.2011.110221Google Scholar

Blakemore, S.-J. (2018). Avoiding social risk in adolescence. Current Directions in Psychological Science, 27(2), 116–22. https://doi.org/10.1177/0963721417738144CrossRefGoogle Scholar

Blakemore, S.-J., & Choudhury, S. (2006). Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry, 47(3–4), 296–312. https://doi.org/10.1111/j.1469-7610.2006.01611.xGoogle Scholar

Blakemore, S.-J., & Frith, U. (2004). How does the brain deal with the social world? NeuroReport, 15(1), 119–28. https://doi.org/10.1097/00001756-200401190-00024Google Scholar

Bowles, N. (2017, December 4). Where Silicon Valley is going to get in touch with its soul. The New York Times. www.nytimes.com/Google Scholar

Choudhury, S., & McKinney, K. A. (2013). Digital media, the developing brain and the interpretive plasticity of neuroplasticity. Transcultural Psychiatry, 50(2), 192–215. https://doi.org/10.1177/1363461512474623Google Scholar

Choudhury, S., Nagel, S. K., & Slaby, J. (2009). Critical neuroscience: Linking neuroscience and society through critical practice. BioSocieties, 4(1), 61–77. https://doi.org/10.1017/S1745855209006437CrossRefGoogle Scholar

Choudhury, S., & Slaby, J. (Eds.). (2012). Critical neuroscience: A handbook of the social and cultural contexts of neuroscience. Wiley-Blackwell. https://doi.org/10.1002/9781444343359Google Scholar

Cosmelli, D., & Thompson, E. (2010). Embodiment or envatment? Reflections on the bodily basis of consciousness. In Stewart, J., Gapenne, O., & Di Paolo, E. A. (Eds.), Enaction: Toward a new paradigm for cognitive science (pp. 361–85). MIT Press. https://doi.org/10.7551/mitpress/9780262014601.003.0014Google Scholar

Fischer, K. W. (2009). Mind, brain, and education: Building a scientific groundwork for learning and teaching. Mind, Brain, and Education, 3(1), 3–16. https://doi.org/10.1111/j.1751-228X.2008.01048.xGoogle Scholar

Fricke, L., & Choudhury, S. (2011). Neuropolitik und plastische Gehirne. Eine Fallstudie des adoleszenten Gehirns. Deutsche Zeitschrift für Philosophie Zweimonatsschrift der internationalen philosophischen Forschung, 59(3), 391–402. https://doi.org/10.1524/dzph.2011.0032Google Scholar

Fuhrmann, D., Knoll, L. J., & Blakemore, S. J. (2015). Adolescence as a sensitive period of brain development. Trends in Cognitive Sciences, 19(10), 558–66. https://doi.org/10.1016/j.tics.2015.07.008Google Scholar

Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999). Brain development during childhood and adolescence: A longitudinal MRI study. Nature Neuroscience, 2(10), 861–3. https://doi.org/10.1038/13158Google Scholar

Goswami, U. (2006). Neuroscience and education: From research to practice? Nature Reviews Neuroscience, 7(5), 406–13. https://doi.org/10.1038/nrn1907Google Scholar

Harrington, A. (2008). The cure within: A history of mind-body medicine. W.W. Norton.Google Scholar

Hartmann, M. (2012). Against first nature: Critical theory and neuroscience. In Choudhury, S. & Slaby, J. (Eds.), Critical neuroscience: A handbook of the social and cultural contexts of neuroscience (pp. 67–84). Wiley-Blackwell.Google Scholar

Howard-Jones, P. A. (2009). Scepticism is not enough. Cortex, 45(4), 550–1. https://doi.org/10.1016/j.cortex.2008.06.002Google Scholar

Ingold, T. (2004). Culture on the ground: The world perceived through the feet. Journal of Material Culture, 9(3), 315–40. https://doi.org/10.1177%2F1359183504046896Google Scholar

Kirmayer, L. J., & Gold, I. (2012). Re-socializing psychiatry: Critical neuroscience and the limits of reductionism. In Choudhury, S. & Slaby, J. (Eds.), Critical neuroscience: A handbook of the social and cultural contexts of neuroscience (pp. 307–30). Wiley-Blackwell.Google Scholar

MacDonald, K. (2007). Cross-cultural comparison of learning in human hunting: Implications for life history evolution. Human Nature, 18(4), 386–402. https://doi.org/10.1007/s12110-007-9019-8Google Scholar

Malabou, C. (2010). Plasticity at the dusk of writing: Dialectic, destruction, deconstruction (Shread, C., Trans.). Columbia University Press. (Original work published 2005) https://doi.org/10.7312/mala14524Google Scholar

Maxwell, B., & Racine, E. (2012). The ethics of neuroeducation: Research, practice and policy. Neuroethics, 5(2), 101–3. https://doi.org/10.1007/s12152-012-9156-6Google Scholar

Miller, D. J., Duka, T., Stimpson, C. D., Schapiro, S. J., Baze, W. B, McArthur, M. J., Fobbs, A. J., Sousa, A. M. M., Šestan, N., Wildman, D. E., Lipovich, L., Kuzawa, C. W., Hof, P. R., & Sherwood, C. C. (2012). Prolonged myelination in human neocortical evolution. Proceedings of the National Academy of Sciences of the United States of America, 109(41), 16480–5. https://doi.org/10.1073/pnas.1117943109Google Scholar

Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3, 173–82. https://doi.org/10.1016/j.jaac.2019.06.017Google Scholar

Organisation for Economic Co-operation and Development (OECD). (2002). Understanding the brain: Towards a new learning science. OECD. https://doi.org/10.1787/9789264174986-enGoogle Scholar

Otis, L. (2000). Membranes: Metaphors of invasion in nineteenth-century literature, science, and politics. Johns Hopkins University Press.Google Scholar

Pitts-Taylor, V. (2010). The plastic brain: Neoliberalism and the neuronal self. Health, 14(6), 635–52. https://doi.org/10.1177/1363459309360796Google Scholar

Raichlen, D. A., & Polk, J. D. (2013). Linking brains and brawn: Exercise and the evolution of human neurobiology. Proceedings of the Royal Society B: Biological Sciences, 280(1750), 20122250. https://doi.org/10.1098/rspb.2012.2250Google Scholar

Rees, T. (2010). Being neurologically human today: Life and science and adult cerebral plasticity (An ethical analysis). American Ethnologist, 37(1), 150–66. https://doi.org/10.1111/j.1548-1425.2010.01247.xGoogle Scholar

Rose, S. (2005). The future of the brain: The promise and perils of tomorrow’s neuroscience. Oxford University Press.Google Scholar

Sánchez-Allred, A., & Choudhury, S. (2016). The imperative to shape young brains: Mindfulness as a neuroeducational intervention. In Pykett, J., Jones, R. & Whitehead, M. (Eds.), Psychological governance and public policy: Governing the mind, brain and behaviour (pp. 116–35). Routledge.Google Scholar

Sherwood, C. C., & Gómez-Robles, A. (2017). Brain plasticity and human evolution. Annual Review of Anthropology, 46, 399–419. https://doi.org/10.1146/annurev-anthro-102215-100009Google Scholar

Singer, N., & Ivory, D. (2017, November 3). How Silicon Valley plans to conquer the classroom. The New York Times. www.nytimes.com/2017/11/03/technology/silicon-valley-baltimore-schools.htmlGoogle Scholar

Slaby, J., & Choudhury, S. (2018). Proposal for a critical neuroscience. In Meloni, M., Cromby, J., Fitzgerald, D., & Lloyd, S. (Eds.), The Palgrave handbook of biology and society (pp. 341–70). Palgrave Macmillan. https://doi.org/10.1057/978-1-137-52879-7_15Google Scholar

Tallis, R. (2004). Why the mind is not a computer: A pocket lexicon of neuromythology. Imprint Academic.Google Scholar

Thomson, J. M., Leong, V., & Goswami, U. (2013). Auditory processing interventions and developmental dyslexia: A comparison of phonemic and rhythmic approaches. Reading and Writing, 26(2), 139–61. https://doi.org/10.1007/s11145-012-9359-6Google Scholar

Weisberg, D. S., Keil, F. C., Goodstein, J., Rawson, E., & Gray, J. R. (2008). The seductive allure of neuroscience explanations. Journal of Cognitive Neuroscience, 20(3), 470–77. https://doi.org/10.1162/jocn.2008.20040Google Scholar

Whitehead, M., Jones, R., Lilley, R., Pykett, J., & Howell, R. (2017). Neuroliberalism: Behavioural government in the twenty-first century. Routledge.Google Scholar

Worthman, C. M. (2011). Developmental cultural ecology of sleep. In El-Sheikh, M. (Ed.), Sleep and development: Familial and socio-cultural considerations (pp. 167–94). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195395754.003.0008Google Scholar

Worthman, C. M., & Trang, K. (2018). Dynamics of body time, social time and life history at adolescence. Nature, 554(7693), 451–7. https://doi.org/10.1038/nature25750Google Scholar

Anselme, P. (2013). Dopamine, motivation, and the evolutionary significance of gambling-like behaviour. Behavioural Brain Research, 256, 1–4. https://doi.org/10.1016/j.bbr.2013.07.039Google Scholar

Barascud, N., Pearce, M. T., Griffiths, T. D., Friston, K. J., & Chait, M. (2016). Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns. Proceedings of the National Academy of Sciences of the United States of America, 113(5), E616–E625. https://doi.org/10.1073/pnas.1508523113Google Scholar

Bennett, D., Bode, S., Brydevall, M., Warren, H., & Murawski, C. (2016). Intrinsic valuation of information in decision making under uncertainty. PLoS Computional Biology, 12(7), e1005020. https://doi.org/10.1371/journal.pcbi.1005020Google Scholar

Berlyne, D. E. (1960). McGraw-Hill series in psychology. Conflict, arousal, and curiosity. McGraw-Hill Book Company. https://doi.org/10.1037/11164-000Google Scholar

Berlyne, D. E. (Ed.). (1974). Studies in the new experimental aesthetics: Steps toward an objective psychology of aesthetic appreciation. Hemisphere.Google Scholar

Berridge, K. C., & Kringelbach, M. L. (2008). Affective neuroscience of pleasure: Reward in humans and animals. Psychopharmacology, 199(3), 457–80. https://doi.org/10.1007/s00213-008-1099-6Google Scholar

Bigand, E., Poulin, B., Tillmann, B., Madurell, F., & D’Adamo, D. A. (2003). Sensory versus cognitive components in harmonic priming. Journal of Experimental Psychology: Human Perception and Performance, 29(1), 159–71. https://doi.org/10.1037/0096-1523.29.1.159Google Scholar

Blood, A. J., Zatorre, R. J., Bermudez, P., & Evans, A. C. (1999). Emotional responses to pleasant and unpleasant music correlate with activity in paralimbic brain regions. Nature Neuroscience, 2(4), 382–7. https://doi.org/10.1038/7299Google Scholar

Bogert, B., Numminen-Kontti, T., Gold, B., Sams, M., Numminen, J., Burunat, I., Lampinen, J., & Brattico, E. (2016). Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions. Neuropsychologia, 89, 393–402. https://doi.org/10.1016/j.neuropsychologia.2016.07.005Google Scholar

Brattico, E., Bogert, B., Alluri, V., Tervaniemi, M., Eerola, T., & Jacobsen, T. (2016). It’s sad but I like it: The neural dissociation between musical emotions and liking in experts and laypersons. Frontiers in Human Neuroscience, 9, 676. https://doi.org/10.3389/fnhum.2015.00676Google Scholar

Brattico, E., Jacobsen, T., De Baene, W., Glerean, E., & Tervaniemi, M. (2010). Cognitive vs. affective listening modes and judgments of music: An ERP study. Biological Psychology, 85(3), 393–409. https://doi.org/10.1016/j.biopsycho.2010.08.014Google Scholar

Brattico, E., & Pearce, M. (2013). The neuroaesthetics of music. Psychology of Aesthetics, Creativity, and the Arts, 7(1), 48–61. https://doi.org/10.1037/a0031624Google Scholar

Bromberg-Martin, E. S., & Hikosaka, O. (2009). Midbrain dopamine neurons signal preference for advance information about upcoming rewards. Neuron, 63(1), 119–26. https://doi.org/10.1016/j.neuron.2009.06.009Google Scholar

Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010). Dopamine in motivational control: Rewarding, aversive, and alerting. Neuron, 68(5), 815–34. https://doi.org/10.1016/j.neuron.2010.11.022Google Scholar

Brydevall, M., Bennett, D., Murawski, C., & Bode, S. (2018). The neural encoding of information prediction errors during non-instrumental information seeking. Scientific Reports, 8(1), 6134. https://doi.org/10.1038/s41598-018-24566-xGoogle Scholar

Burgdorf, J., & Panksepp, J. (2006). The neurobiology of positive emotions. Neuroscience & Biobehavioral Reviews, 30(2), 173–87. https://doi.org/10.1016/j.neubiorev.2005.06.001Google Scholar

Chase, H. W., Kumar, P., Eickhoff, S. B., & Dombrovski, A. Y. (2015). Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis. Cognitive, Affective, & Behavioral Neuroscience, 15(2), 435–59. https://doi.org/10.3758/s13415-015-0338-7Google Scholar

Chmiel, A., & Schubert, E. (2017). Back to the inverted-U for music preference: A review of the literature. Psychology of Music, 45(6), 886–909. https://doi.org/10.1177%2F0305735617697507Google Scholar

Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181–204. https://doi.org/10.1017/S0140525X12000477Google Scholar

Demorest, S. M., Morrison, S. J., Jungbluth, D., & Beken, M. N. (2008). Lost in translation: An enculturation effect in music memory performance. Music Perception, 25(3), 213–23. https://doi.org/10.1525/mp.2008.25.3.213Google Scholar

den Ouden, H. E. M., Daunizeau, J., Roiser, J., Friston, K. J., & Stephan, K. E. (2010). Striatal prediction error modulates cortical coupling. Journal of Neuroscience, 30(9), 3210–19. https://doi.org/10.1523/JNEUROSCI.4458-09.2010Google Scholar

den Ouden, H. E. M., Kok, P., & de Lange, F. P. (2012). How prediction errors shape perception, attention, and motivation. Frontiers in Psychology, 3, 548. https://doi.org/10.3389/fpsyg.2012.00548Google Scholar

Egermann, H., Pearce, M. T., Wiggins, G. A., & McAdams, S. (2013). Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music. Cognitive, Affective, & Behavioral Neuroscience, 13(3), 533–53. https://doi.org/10.3758/s13415-013-0161-yGoogle Scholar

Ferreri, L., Mas-Herrero, E., Zatorre, R. J., Ripollés, P., Gomez-Andres, A., Alicart, H., Olivé, G., Marco-Pallarés, J., Antonijoan, R. M., Valle, M., Riba, J., & Rodriguez-Fornells, A. (2019). Dopamine modulates the reward experiences elicited by music. Proceedings of the National Academy of Sciences of the United States of America, 116(9), 3793–8. https://doi.org/10.1073/pnas.1811878116Google Scholar

Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003). Discrete coding of reward probability and uncertainty by dopamine neurons. Science, 299(5614), 1898–902. https://doi.org/10.1126/science.1077349Google Scholar

Frank, M. J., Seeberger, L. C., & O’Reilly, R. C. (2004). By carrot or by stick: Cognitive reinforcement learning in parkinsonism. Science, 306(5703), 1940–3. https://doi.org/10.1126/science.1102941Google Scholar

Franklin, R. G. Jr., & Adams, R. B. Jr. (2011). The reward of a good joke: Neural correlates of viewing dynamic displays of stand-up comedy. Cognitive, Affective, & Behavioral Neuroscience, 11(4), 508–15. https://doi.org/10.3758/s13415-011-0049-7Google Scholar

Friston, K. (2005). A theory of cortical responses. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1456), 815–36. https://doi.org/10.1098/rstb.2005.1622Google Scholar

Friston, K. (2008). Hierarchical models in the brain. PLoS Computational Biology, 4(11), e1000211. https://doi.org/10.1371/journal.pcbi.1000211Google Scholar

Gebauer, L., Kringelbach, M. L., & Vuust, P. (2012). Ever-changing cycles of musical pleasure: The role of dopamine and anticipation. Psychomusicology: Music, Mind, and Brain, 22(2), 152–67. https://doi.org/10.1037/a0031126Google Scholar

Gold, B. P., Mas-Herrero, E., Zeighami, Y., Benovoy, M., Dagher, A., & Zatorre, R. J. (2019b). Musical reward prediction errors engage the nucleus accumbens and motivate learning. Proceedings of the National Academy of Sciences of the United States of America, 116(8), 3310–15. https://doi.org/10.1073/pnas.1809855116Google Scholar

Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A., & Zatorre, R. J. (2019a). Predictability and uncertainty in the pleasure of music: A reward for learning? Journal of Neuroscience, 39(47), 9397–409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019Google Scholar

Grewe, O., Nagel, F., Kopiez, R., & Altenmüller, E. (2005). How does music arouse “chills”? Investigating strong emotions, combining psychological, physiological, and psychoacoustical methods. Annals of the New York Academy of Sciences, 1060(1), 446–9. https://doi.org/10.1196/annals.1360.041Google Scholar

Grewe, O., Nagel, F., Kopiez, R., & Altenmüller, E. (2007). Listening to music as a re-creative process: Physiological, psychological, and psychoacoustical correlates of chills and strong emotions. Music Perception, 24(3), 297–314. https://doi.org/10.1525/mp.2007.24.3.297Google Scholar

Hannon, E. E., Soley, G., & Ullal, S. (2012a). Familiarity overrides complexity in rhythm perception: A cross-cultural comparison of American and Turkish listeners. Journal of Experimental Psychology: Human Perception and Performance, 38(3), 543–8. https://doi.org/10.1037/a0027225Google Scholar

Hannon, E. E., & Trehub, S. E. (2005). Tuning in to musical rhythms: Infants learn more readily than adults. Proceedings of the National Academy of Sciences of the United States of America, 102(35), 12639–43. https://doi.org/10.1073/pnas.0504254102Google Scholar

Hannon, E. E., Vanden Bosch der Nederlanden, C. M., & Tichko, P. (2012b). Effects of perceptual experience on children’s and adults’ perception of unfamiliar rhythms. Annals of the New York Academy of Sciences, 1252(1), 92–9. https://doi.org/10.1111/j.1749-6632.2012.06466.xGoogle Scholar

Hansen, N. C., Dietz, M. J., & Vuust, P. (2017). Commentary: Predictions and the brain: How musical sounds become rewarding. Frontiers in Human Neuroscience, 11, 168. https://doi.org/10.3389/fnhum.2017.00168Google Scholar

Hansen, N. C., & Pearce, M. T. (2014). Predictive uncertainty in auditory sequence processing. Frontiers in Psychology, 5, 1052. https://doi.org/10.3389/fpsyg.2014.01052Google Scholar

Hargreaves, D. J., & North, A. C. (2010). Experimental aesthetics and liking for music. In Juslin, P. N. & Sloboda, J. A. (Eds.), Series in affective science. Handbook of music and emotion: Theory, research, applications (pp. 515–46). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199230143.003.0019Google Scholar

Haumann, N. T., Vuust, P., Bertelsen, F., & Garza-Villarreal, E. A. (2018). Influence of musical enculturation on brain responses to metric deviants. Frontiers in Neuroscience, 12, 218. https://doi.org/10.3389/fnins.2018.00218Google Scholar

Huron, D. (2006). Sweet anticipation: Music and the psychology of expectation. MIT Press.Google Scholar

Jepma, M., Verdonschot, R. G., van Steenbergen, H., Rombouts, S. A. R. B., & Nieuwenhuis, S. (2012). Neural mechanisms underlying the induction and relief of perceptual curiosity. Frontiers in Behavioral Neuroscience, 6, 5. https://doi.org/10.3389/fnbeh.2012.00005Google Scholar

Juslin, P. N., & Laukka, P. (2004). Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening. Journal of New Music Research, 33(3), 217–38. https://doi.org/10.1080/0929821042000317813Google Scholar

Kanai, R., Komura, Y., Shipp, S., & Friston, K. (2015). Cerebral hierarchies: Predictive processing, precision and the pulvinar. Philosophical Transactions of the Royal Society B: Biological Sciences, 370(1668), 20140169. https://doi.org/10.1098/rstb.2014.0169Google Scholar

Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T.-Y., & Camerer, C. F. (2009). The wick in the candle of learning. Psychological Science, 20(8), 963–73. https://doi.org/10.1111/j.1467-9280.2009.02402.xGoogle Scholar

Koelsch, S. (2014). Brain correlates of music-evoked emotions. Nature Reviews Neuroscience, 15(3), 170–80. https://doi.org/10.1038/nrn3666Google Scholar

Koelsch, S., Fritz, T., & Schlaug, G. (2008). Amygdala activity can be modulated by unexpected chord functions during music listening. NeuroReport, 19(18), 1815–19. https://doi.org/10.1097/WNR.0b013e32831a8722Google Scholar

Koelsch, S., Vuust, P., & Friston, K. (2019). Predictive processes and the peculiar case of music. Trends in Cognitive Sciences, 23(1), 63–77. https://doi.org/10.1016/j.tics.2018.10.006Google Scholar

Krumhansl, C. L. (2000). Rhythm and pitch in music cognition. Psychological Bulletin, 126(1), 159–79. https://doi.org/10.1037/0033-2909.126.1.159Google Scholar

Lonsdale, A. J., & North, A. C. (2011). Why do we listen to music? A uses and gratifications analysis. British Journal of Psychology, 102(1), 108–34. https://doi.org/10.1348/000712610X506831Google Scholar

Loui, P., & Wessel, D. (2008). Learning and liking an artificial musical system: Effects of set size and repeated exposure. Musicae Scientiae, 12(2), 207–30. https://doi.org/10.1177%2F102986490801200202Google Scholar

Loui, P., Wu, E. H., Wessel, D. L., & Knight, R. T. (2009). A generalized mechanism for perception of pitch patterns. Journal of Neuroscience, 29(2), 454–9. https://doi.org/10.1523/JNEUROSCI.4503-08.2009Google Scholar

Lumaca, M., Haumann, N. T., Brattico, E., Grube, M., & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using mismatch negativity. European Journal of Neuroscience, 49(12), 1597–609. https://doi.org/10.1111/ejn.14329Google Scholar

Martindale, C., & Moore, K. (1989). Relationship of musical preference to collative, ecological, and psychophysical variables. Music Perception, 6(4), 431–45. https://doi.org/10.2307/40285441Google Scholar

Mas-Herrero, E., Dagher, A., & Zatorre, R. J. (2018). Modulating musical reward sensitivity up and down with transcranial magnetic stimulation. Nature Human Behavior, 2, 27–32. https://doi.org/10.1038/s41562-017-0241-zGoogle Scholar

Mas-Herrero, E., Marco-Pallares, J., Lorenzo-Seva, U., Zatorre, R. J., & Rodriguez-Fornells, A. (2013). Individual differences in music reward experiences. Music Perception, 31(2), 118–38. https://doi.org/10.1525/mp.2013.31.2.118Google Scholar

Menon, M., Jensen, J., Vitcu, I., Graff-Guerrero, A., Crawley, A., Smith, M. A., & Kapur, S. (2007). Temporal difference modeling of the blood-oxygen level dependent response during aversive conditioning in humans: Effects of dopaminergic modulation. Biological Psychiatry, 62(7), 765–72. https://doi.org/10.1016/j.biopsych.2006.10.020Google Scholar

Meyer, L. B. (1956). Emotion and meaning in music. University of Chicago Press.Google Scholar

North, A. C., Hargreaves, D. J., & Mckendrick, J. (2000). The effects of music on atmosphere in a bank and a bar. Journal of Applied Social Psychology, 30(7), 1504–22. https://doi.org/10.1111/j.1559-1816.2000.tb02533.xGoogle Scholar

Omigie, D., Pearce, M. T., Williamson, V. J., & Stewart, L. (2013). Electrophysiological correlates of melodic processing in congenital amusia. Neuropsychologia, 51(9), 1749–62. https://doi.org/10.1016/j.neuropsychologia.2013.05.010Google Scholar

Oudeyer, P. Y., Gottlieb, J., & Lopes, M. (2016). Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. In Studer, B. & Knecht, S. (Eds.), Progress in brain research. Motivation: Theory, neurobiology and applications (Vol. 229, pp. 257–84). Academic Press. https://doi.org/10.1016/bs.pbr.2016.05.005Google Scholar

Partanen, E., Kujala, T., Tervaniemi, M., & Huotilainen, M. (2013). Prenatal music exposure induces long-term neural effects. PLoS ONE, 8(10), e78946. https://doi.org/10.1371/journal.pone.0078946Google Scholar

Pearce, J. M., & Hall, G. (1980). A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli. Psychological Review, 87(6), 532–52. https://doi.org/10.1037/0033-295X.87.6.532CrossRefGoogle Scholar

Pearce, M. T. (2005). The construction and evaluation of statistical models of melodic structure in music perception and composition [Unpublished doctoral dissertation]. City University London. http://openaccess.city.ac.uk/8459/Google Scholar

Pearce, M. T., Müllensiefen, D., & Wiggins, G. A. (2010). The role of expectation and probabilistic learning in auditory boundary perception: A model comparison. Perception, 39(1), 1365–89. https://doi.org/10.1068%2Fp6507CrossRefGoogle ScholarPubMed

Perruchet, P., & Pacton, S. (2006). Implicit learning and statistical learning: One phenomenon, two approaches. Trends in Cognitive Sciences, 10(5), 233–8. https://doi.org/10.1016/j.tics.2006.03.006CrossRefGoogle ScholarPubMed

Ripollés, P., Marco-Pallarés, J., Hielscher, U., Mestres-Missé, A., Tempelmann, C., Heinze, H.-J., Rodríguez-Fornells, A., & Noesselt, T. (2014). The role of reward in word learning and its implications for language acquisition. Current Biology, 24(21), 2606–11. https://doi.org/10.1016/j.cub.2014.09.044Google Scholar

Saarikallio, S., & Erkkilä, J. (2007). The role of music in adolescents’ mood regulation. Psychology of Music, 35(1), 88–109. https://doi.org/10.1177%2F0305735607068889Google Scholar

Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition, 70(1), 27–52. https://doi.org/10.1016/S0010-0277(98)00075-4Google Scholar

Salimpoor, V. N., Benovoy, M., Larcher, K., Dagher, A., & Zatorre, R. J. (2011). Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nature Neuroscience, 14(2), 257–62. https://doi.org/10.1038/nn.2726Google Scholar

Salimpoor, V. N., Benovoy, M., Longo, G., Cooperstock, J. R., & Zatorre, R. J. (2009). The rewarding aspects of music listening are related to degree of emotional arousal. PLoS ONE, 4(10), e7487. https://doi.org/10.1371/journal.pone.0007487Google Scholar

Salimpoor, V. N., van den Bosch, I., Kovacevic, N., McIntosh, A. R., Dagher, A., & Zatorre, R. J. (2013). Interactions between the nucleus accumbens and auditory cortices predict music reward value. Science, 340(6129), 216–19. https://doi.org/10.1126/science.1231059Google Scholar

Schultz, W., Dayan, P., & Montague, P. R. (1997). A neural substrate of prediction and reward. Science, 275(5306), 1593–9. https://doi.org/10.1126/science.275.5306.1593Google Scholar

Seymour, B., O’Doherty, J. P., Koltzenburg, M., Wiech, K., Frackowiak, R., Friston, K., & Dolan, R. (2005). Opponent appetitive-aversive neural processes underlie predictive learning of pain relief. Nature Neuroscience, 8(9), 1234–40. https://doi.org/10.1038/nn1527Google Scholar

Shany, O., Singer, N., Gold, B. P., Jacoby, N., Tarrasch, R., Hendler, T., & Granot, R. (2019). Surprise-related activation in the nucleus accumbens interacts with music-induced pleasantness. Social Cognitive and Affective Neuroscience, 14(4), 459–70. https://doi.org/10.1093/scan/nsz019Google Scholar

Sloboda, J. A. (1991). Music structure and emotional response: Some empirical findings. Psychology of Music, 19(2), 110–20. https://doi.org/10.1177%2F0305735691192002Google Scholar

Sloboda, J. A., & O’Neill, S. A. (2001). Emotions in everyday listening to music. In Juslin, P. N. & Sloboda, J. A. (Eds.), Series in affective science. Music and emotion: Theory and research (pp. 415–29). Oxford University Press.Google Scholar

Steinbeis, N., Koelsch, S., & Sloboda, J. A. (2006). The role of harmonic expectancy violations in musical emotions: Evidence from subjective, physiological, and neural responses. Journal of Cognitive Neuroscience, 18(8), 1380–93. https://doi.org/10.1162/jocn.2006.18.8.1380Google Scholar

Szpunar, K. K., Schellenberg, E. G., & Pliner, P. (2004). Liking and memory for musical stimuli as a function of exposure. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(2), 370–81. https://doi.org/10.1037/0278-7393.30.2.370Google Scholar

Van de Cruys, S., & Wagemans, J. (2011). Putting reward in art: A tentative prediction error account of visual art. i-Perception, 2(9), 1035–62. https://doi.org/10.1068/i0466aapGoogle Scholar

Virtala, P., Huotilainen, M., Partanen, E., Fellman, V., & Tervaniemi, M. (2013). Newborn infants’ auditory system is sensitive to Western music chord categories. Frontiers in Psychology, 4, 492. https://doi.org/10.3389/fpsyg.2013.00492Google Scholar

Vuoskoski, J. K., Thompson, W. F., McIlwain, D., & Eerola, T. (2011). Who enjoys listening to sad music and why? Music Perception, 29(3), 311–17. https://doi.org/10.1525/mp.2012.29.3.311Google Scholar

Wassiliwizky, E., Koelsch, S., Wagner, V., Jacobsen, T., & Menninghaus, W. (2017). The emotional power of poetry: Neural circuitry, psychophysiology and compositional principles. Social Cognitive and Affective Neuroscience, 12(8), 1229–40. https://doi.org/10.1093/scan/nsx069Google Scholar

Wilson, T. D., Lisle, D. J., Kraft, D., & Wetzel, C. G. (1989). Preferences as expectation-driven inferences: Effects of affective expectations on affective experience. Journal of Personality and Social Psychology, 56(4), 519–30. https://doi.org/10.1037/0022-3514.56.4.519Google Scholar

Wong, P. C. M., Roy, A. K., & Margulis, E. H. (2009). Bimusicalism: The implicit dual enculturation of cognitive and affective systems. Music Perception, 27(2), 81–8. https://doi.org/10.1525/mp.2009.27.2.81Google Scholar

Zald, D. H., & Zatorre, R. J. (2011). Music. In Gottfried, J. A. (Ed.), Neurobiology of sensation and reward (pp. 405–28). CRC Press. www.ncbi.nlm.nih.gov/books/NBK92781/Google Scholar

Armstrong, P. B. (2019). Neuroscience, narrative, and narratology. Poetics Today, 40(3), 395–428.Google Scholar

Barthes, R. (1986). The rustle of language (Howard, R., Trans.). Hill and Wang. (Original work published 1967–1980)Google Scholar

Bill, V. T. (1986). Chekhov: The silent voice of freedom. Allied Books.Google Scholar

Caracciolo, M. (2014). The experientiality of narrative: An enactivist approach. De Gruyter.Google Scholar

Cave, T. (2016). Thinking with literature: Towards a cognitive criticism. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198749417.001.0001Google Scholar

Chatterjee, A. (2010). Neuroaesthetics: A coming of age story. Journal of Cognitive Neuroscience, 23(1), 53–62. https://doi.org/10.1162/jocn.2010.21457Google Scholar

Clark, A. (1997). Being there: Putting brain, body, and world together again. MIT Press.Google Scholar

Flaubert, G. (2005). Three tales (Whitehouse, R., Trans.). Penguin. (Original work published 1877)Google Scholar

Friston, K. (2003). Learning and inference in the brain. Neural Networks, 16(9), 1325–52. https://doi.org/10.1016/j.neunet.2003.06.005Google Scholar

Herman, D. (2011). 1880–1945: Re-minding modernism. In Herman, D. (Ed.), The emergence of mind: Representations of consciousness in narrative discourse in English (pp. 243–72). University of Nebraska Press.Google Scholar

Hogan, P. C. (2010). Literary universals. In Zunshine, L. (Ed.), Introduction to cognitive cultural studies (pp. 37–60). Johns Hopkins University Press.Google Scholar

Kukkonen, K. (2014a). Bayesian narrative: Probability, plot and the shape of the fictional world. Anglia, 132(4), 720–39. https://doi.org/10.1515/ang-2014-0075Google Scholar

Kukkonen, K. (2014b). Presence and prediction: The embodied reader’s cascades of cognition. Style, 48(3), 367–84. http://www.jstor.org/stable/10.5325/style.48.3.367Google Scholar

Kukkonen, K., & Caracciolo, M. (2014). Introduction: What is the “second generation?” Style, 48(3), 261–74. www.jstor.org/stable/10.5325/style.48.3.261Google Scholar

Noë, A. (2015). Strange tools: Art and human nature. Hill and Wang.Google Scholar

Tomlinson, C. (Ed.). (1985). William Carlos Williams: Selected poems. New Directions.Google Scholar

Angelillo, C., Rogoff, B., & Chavajay, P. (2007). Examining shared endeavors by abstracting video coding schemes with fidelity to cases. In Goldman, R., Pea, R., & Derry, S. J. (Eds.), Video research in the learning sciences (pp. 189–206). Erlbaum.Google Scholar

Asch, T., & Chagnon, N. (1968–1971). Yanomamö series. 7 hrs, 8 min. Documentary Educational Resources. https://store.der.org/yanomam-series-p970.aspxGoogle Scholar

Asch, T., & Chagnon, N. (1975). The ax fight. 30 min. [Documentary]. Documentary Educational Resources. https://store.der.org/the-ax-fight-p180.aspxGoogle Scholar

Asch, T., Marshall, J., & Spier, P. (1973). Ethnographic film: Structure and function. Annual Review of Anthropology, 2, 179–87. https://doi.org/10.1146/annurev.an.02.100173.001143Google Scholar

Banks, M., & Ruby, J. (Eds.). (2011). Made to be seen: Perspectives on the history of visual anthropology. University of Chicago Press.Google Scholar

Barbash, I., & Taylor, L. (1997). Cross-cultural filmmaking: A handbook for making documentary and ethnographic films and videos. University of California Press.Google Scholar

Bateson, G., & Mead, M. (1942). Balinese character: A photographic analysis. The New York Academy of Sciences.Google Scholar

Boyd, B. (2009). On the origin of stories: Evolution, cognition, and fiction. Belknap Press.Google Scholar

Brand, S. (1976). For God’s sake, Margaret [Conversation between Stewart Brand, Gregory Bateson, and Margaret Mead]. CoEvolutionary Quarterly, 10(21), 32–44. www.wholeearth.com/issue/2010/article/361/for.god’s.sake.margaretGoogle Scholar

Buckner, R. L., Andrews-Hanna, J. R., & Schachter, D. L. (2008). The brain’s default mode network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124(1), 1–38. https://doi.org/10.1196/annals.1440.011Google Scholar

Connor, L., Asch, T., & Asch, P. (1979–1983). The Jero Tapakan series. 2 hrs, 26 min. Documentary Educational Resources. https://store.der.org/the-jero-tapakan-series-p967.aspxGoogle Scholar

Curtis, E. S., & Hodge, F. W. (Ed.). (1970). The North American Indian, being a series of volumes picturing and describing the Indians of the United States and Alaska (20 Vols.). Johnson Reprint Corp. (Original work published 1907–1930).Google Scholar

Damasio, A. (2018). The strange order of things: Life, feeling, and the making of cultures. Pantheon Books.Google Scholar

Dressler, W. W. (2017). Culture and the individual: Theory and method of cultural consonance. Routledge. https://doi.org/10.4324/9781315164007Google Scholar

Edwards, E. (2001). Raw histories: Photographs, anthropology and museums. Berg.Google Scholar

Frijda, N. H. (1986). The emotions. Cambridge University Press.Google Scholar

Fruzetti, L., Ostor, A., & Sarkar, A. N. (2005). Singing pictures. 40 min. [Documentary]. Documentary Educational Resources. https://store.der.org/singing-pictures-p422.aspxGoogle Scholar

Gallese, V. (2017). Visions of the body. Embodied simulation and aesthetic experience. Aisthesis, 10(1), 41–50. https://doi.org/10.13128/Aisthesis-20902Google Scholar

Gallese, V., & Guerra, M. (2019). The empathic screen: Cinema and Neuroscience (Anderson, F., Trans.). Oxford University Press. (Original work published 2015)Google Scholar

Gardner, R. (1963). Dead birds. 1 hr, 23 min. [Documentary]. Documentary Educational Resources. https://store.der.org/dead-birds-p858.aspxGoogle Scholar

Grimshaw, A., & Ravetz, A. (2009). Rethinking observational cinema. Journal of the Royal Anthropological Institute, 15(3), 538–56. https://doi.org/10.1111/j.1467-9655.2009.01573.xGoogle Scholar

Grodal, T. (2006). The PECMA flow: A general model of visual aesthetics. Film Studies, 8(1), 1–11. http://doi.org/10.7227/FS.8.3Google Scholar

Grodal, T. (2009). Embodied visions: Evolution, emotion, culture, and film. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195371314.001.0001Google Scholar

Grodal, T., & Kramer, M. (2010). Empathy, film, and the brain. Recherches semiotiques/Semiotic Inquiry, 30(1–3), 19–35. https://doi.org/10.7202/1025921arGoogle Scholar

Gruber, J. W. (1970). Ethnographic salvage and the shaping of anthropology. American Anthropologist, 72(6), 1289–99. https://doi.org/10.1525/aa.1970.72.6.02a00040CrossRefGoogle Scholar

Gubrium, A., & Harper, K. (2013). Participatory visual and digital methods. Left Coast Press.Google Scholar

Hasson, U., Ghazanfar, A. A, Balantucci, B., Garrod, S., & Keysers, C. (2012). Brain-to-brain coupling: A mechanism for creating and sharing a social world. Trends in Cognitive Sciences, 16(2), 113–20. https://doi.org/10.1016%2Fj.tics.2011.12.007Google Scholar

Hasson, U., Landesman, O., Knappmeyer, B., Vallines, I., Rubin, N., & Heeger, D. J. (2008). Neurocinematics: The neuroscience of film. Projections, 2(1), 1–26. https://doi.org/10.3167/proj.2008.020102Google Scholar

Heider, K. (1974). Dani houses. 35 min, 9 min extras. [Documentary]. Documentary Educational Resources. https://store.der.org/dani-films-p855.aspxGoogle Scholar

Heider, K. G. (1976). Ethnographic film. University of Texas Press.Google Scholar

Heider, K. G. (1997). Seeing anthropology: Cultural anthropology through film. Allyn and Bacon.Google Scholar

Honey, C. J., Thompson, C. R., Lerner, Y., & Hasson, U. (2012). Not lost in translation: Neural responses shared across languages. Journal of Neuroscience, 32, 15277–82. https://doi.org/10.1523/JNEUROSCI.1800-12.2012Google Scholar

Hoskins, J., & Whitney, L. (1991). Horses of life and death. 28 min. [Documentary]. Center for Visual Anthropology. https://store.der.org/horses-of-life-and-death-p787.aspxGoogle Scholar

Immordino-Yang, M. H. (2013). Studying the effects of culture by integrating neuroscientific with ethnographic approaches. Psychological Inquiry, 24(1), 42–6. https://doi.org/10.1080/1047840X.2013.770278Google Scholar

Kitayama, S., & Park, J. (2014). Error-related brain activity reveals self-centric motivation: Culture matters. Journal of Experimental Psychology: General, 143(1), 62–70. https://doi.org/10.1037/a0031696Google Scholar

Kleinman, A. (1988). The illness narratives: Suffering, healing, and the human condition. Basic Books.Google Scholar

Kohrt, B. A., Worthman, C. M., Ressler, K. J., Mercer, K. B., Upadhaya, N., Koirala, S., Nepal, M. K., Sharma, V. D., & Binder, E. B. (2015). Cross-cultural gene-environment interactions in depression, post-traumatic stress disorder, and the cortisol awakening response: FKBP5 polymorphisms and childhood trauma in South Asia. International Review of Psychiatry, 27(3), 180–96. https://doi.org/10.3109/09540261.2015.1020052Google Scholar

Lemelson, R. (2015). Bitter honey. 1 hr, 21 min. [Documentary]. Documentary Educational Resources. https://store.der.org/bitter-honey-p198.aspxGoogle Scholar

Lemelson, R., & Tucker, A. (2015). Steps toward an integration of psychological and visual anthropology: Issues raised in the production of the film series Afflictions: Culture and mental illness in Indonesia. Ethos, 43(1), 6–39. https://doi.org/10.1111/etho.12070Google Scholar

Lemelson, R., & Tucker, A. (2017). Afflictions: Steps towards a visual psychological anthropology. Palgrave Macmillan. https://doi.org/10.1007/978-3-319-59984-7Google Scholar

Lomax, A., & Paulay, F. (1974–2008). Rhythms of the earth. 1 hr, 36 min. [Documentary]. Documentary Educational Resources. https://store.der.org/rhythms-of-earth-p478.aspxGoogle Scholar

Lutz, C. A. (1988). Unnatural emotions: Everyday sentiments on a Micronesian atoll & their challenge to Western theory. University of Chicago Press.Google Scholar

MacDougall, D. (1992). “Photo wallahs”: An encounter with photography. Visual Anthropology Review, 8(2), 96–100. https://doi.org/10.1525/var.1992.8.2.96Google Scholar

Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., Jefferies, E., & Smallwood, J. (2016). Situating the default-mode network along a principal gradient of macroscale cortical organization. Proceedings of the National Academy of Sciences of the United States of America, 113(44), 12574–9. https://doi.org/10.1073/pnas.1608282113Google Scholar

Marion, J. S., & Crowder, J. W. (2013). Visual research: A concise introduction to thinking visually. Bloomsbury Academic.Google Scholar

Marshall, J. (1957). The hunters. 1 hr, 12 min. [Documentary]. Documentary Educational Resources. https://store.der.org/the-hunters-p798.aspxGoogle Scholar

Marshall, J., & Ritchie, C. (1951–2002). A Kalahari family. 6 hrs. [Documentary]. Kalfam Productions and Documentary Educational Resources. https://store.der.org/a-kalahari-family-p937.aspxGoogle Scholar

Mattingly, C., & Garro, L. (Eds.). (2000). Narrative and the cultural construction of illness and healing. University of California Press.Google Scholar

McCall, C., & Singer, T. (2015). Facing off with unfair others: Introducing proxemic imaging as an implicit measure of approach and avoidance during social interaction. PLoS ONE, 10(2), e0117532. https://doi.org/10.1371/journal.pone.0117532Google Scholar

Michaelis, A. (1955). Research films in biology, anthropology, psychology and medicine. New York Academic Press. https://doi.org/10.1016/B978-0-12-395693-4.X5001-4Google Scholar

Muybridge, E. (1979). Muybridge’s complete human and animal locomotion: All 781 plates from the 1887 “animal locomotion” (Vol. 3). Dover Publications.Google Scholar

Nguyen, M., Vanderwal, T., & Hasson, U. (2019). Shared understanding of narratives is correlated with shared neural responses. NeuroImage, 184, 161–70. https://doi.org/10.1016/j.neuroimage.2018.09.010Google Scholar

Ramstead, M. J. D., Veissière, S. P. L, & Kirmayer, L. J. (2016). Cultural affordances: Scaffolding local worlds through shared intentionality. Frontiers in Psychology, 7, 1090. https://doi.org/10.3389/fpsyg.2016.01090Google Scholar

Rilling, J. K., Li, T., Chen, X., Gautam, P., Haroon, E., & Thompson, R. R. (2017). Arginine vasopressin effects on subjective judgments and neural responses to same and other-sex faces in men and women. Frontiers in Endocrinology, 8, 200. https://doi.org/10.3389/fendo.2017.00200Google Scholar

Rilling, J. K., & Mascaro, J. S. (2017). The neurobiology of fatherhood. Current Opinion in Psychology, 15, 26–32. https://doi.org/10.1016/j.copsyc.2017.02.013Google Scholar

Ruby, J. (2000). Picturing culture: Explorations of film and anthropology. University of Chicago Press.Google Scholar

Scott, J.-A. (2013). Problematizing a researcher’s performance of “insider status”: An autoethnography of “designer disabled” identity. Qualitative Inquiry, 19(2), 101–15. https://doi.org/10.1177/1077800412462990Google Scholar

Silveira, P. P., Gaudreau, H., Atkinson, L., Fleming, A. S., Sokolowksi, M. B., Steiner, M., Kennedy, J. L., Meaney, M. J., Levitan, R. D., & Dubé, L. (2016). Genetic differential susceptibility to socioeconomic status and childhood obesogenic behavior: Why targeted prevention may be the best societal investment. JAMA Pediatrics, 170(4), 359–64. https://doi.org/10.1001/jamapediatrics.2015.4253Google Scholar

Smith, H., & Reichline, N. (1974). Potato planters. 17 min. [Documentary]. Documentary Educational Resources. https://store.der.org/potato-planters-p524.aspxGoogle Scholar

Smith, D., Schlaepfer, P., Major, K., Dyble, M., Page, A. E., Thompson, J., Chaudhary, N., Salali, G. D., Mace, R., Astete, L., Ngales, M., Vinicius, L., & Migliano, A. B. (2017). Cooperation and the evolution of hunter-gatherer storytelling. Nature Communications, 8, 1853. https://doi.org/10.1038/s41467-017-02036-8Google Scholar

Suomi, S. J. (2004). How gene-environment interactions shape biobehavioral development: Lessons from studies with rhesus monkeys. Research in Human Development, 1(3), 205–22. https://doi.org/10.1207/s15427617rhd0103_5Google Scholar

Suzuki, W. A., Feliú-Mójer, M. I., Hasson, U., Yehuda, R., & Zarate, J. M. (2018). Dialogues: The science and power of storytelling. Journal of Neuroscience, 38(44), 9468–70. https://doi.org/10.1523/JNEUROSCI.1942-18.2018Google Scholar

Taylor, L. (1998). “Visual anthropology is dead, long live visual anthropology!” American Anthropologist, 100(2), 534–7. https://doi.org/10.1525/aa.1998.100.2.534.Google Scholar

Vatansever, D., Menon, D. K., Manktelow, A. E., Sahakian, B. J., & Stamatakis, E. A. (2015). Default mode dynamics for global functional integration. Journal of Neuroscience, 35(46), 15254–62. https://doi.org/10.1523/JNEUROSCI.2135-15.2015Google Scholar

Vidaurre, D., Smith, S. M., & Woolrich, M. W. (2017). Brain network dynamics are hierarchically organized in time. Proceedings of the National Academy of Sciences of the United States of America, 114(48), 12827–32. https://doi.org/10.1073/pnas.1705120114Google Scholar

Wiessner, P. W. (2014). Embers of society: Firelight talk among the Ju/’hoansi Bushmen. Proceedings of the National Academy of Sciences of the United States of America, 111(39), 14027–35. https://doi.org/10.1073/pnas.1404212111Google Scholar

Willis, A. (2009). Da feast! 22 min. [Documentary]. Documentary Educational Resources. https://store.der.org/da-feast-p851.aspxGoogle Scholar

Woods, A., Hart, A., & Spandler, H. (2019). The recovery narrative: Politics and possibilities of a genre. Culture, Medicine, and Psychiatry, 1–27. https://doi.org/10.1007/s11013-019-09623-yGoogle Scholar

Worth, S., & Adair, J. (1972). Through Navajo eyes: An exploration in film communication and anthropology. Indiana University Press.Google Scholar

Yeshurun, Y., Swanson, S., Simony, E., Chen, J., Lazaridi, C., Honey, C. J., & Hasson, U. (2017). Same story, different story: The neural representation of interpretive frameworks. Psychological Science, 28(3), 307–19. https://doi.org/10.1177%2F0956797616682029Google Scholar

Young, K., & Saver, J. L. (2001). The neurology of narrative. SubStance, 30(94/95), 72–84. https://doi.org/10.2307/3685505Google Scholar

Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A, & Hasson, U. (2017). How we transmit memories to other brains: Constructing shared neural representations via communication. Cerebral Cortex, 27(10), 4988–5000. https://doi.org/10.1093/cercor/bhx202Google Scholar

Zak, P. J. (2013). How stories change the brain. Greater Good Magazine. https://greatergood.berkeley.edu/article/item/how_stories_change_brainGoogle Scholar

Zak, P. J. (2014). Why your brain loves good storytelling. Harvard Business Review. https://hbr.org/2014/10/why-your-brain-loves-good-storytellingGoogle Scholar

Allport, F. H. (1954). The structuring of events: Outline of a general theory with applications to psychology. Psychological Review, 61(5), 281–303. https://doi.org/10.1037/h0062678Google Scholar

Amodio, D. M. (2014). The neuroscience of prejudice and stereotyping. Nature Reviews Neuroscience, 15(10), 670–82. https://doi.org/10.1038/nrn3800Google Scholar

Berridge, K. C. (2004). Motivation concepts in behavioral neuroscience. Physiology & Behavior, 81(2), 179–209. https://doi.org/10.1016/j.physbeh.2004.02.004Google Scholar

Catalani, C., & Minkler, M. (2010). Photovoice: A review of the literature in health and public health. Health Education & Behavior, 37(3), 424–51. https://doi.org/10.1177/1090198109342084Google Scholar

Cikara, M., Bruneau, E., Van Bavel, J. J., & Saxe, R. (2014). Their pain gives us pleasure: How intergroup dynamics shape empathic failures and counter-empathic responses. Journal of Experimental Social Psychology, 55, 110–25. https://doi.org/10.1016/j.jesp.2014.06.007Google Scholar

Cikara, M., & Fiske, S. T. (2013). Their pain, our pleasure: Stereotype content and schadenfreude. Annals of the New York Academy of Sciences, 1299(1), 52–9. https://doi.org/10.1111/nyas.12179Google Scholar

Cikara, M., Jenkins, A. C., Dufour, N., & Saxe, R. (2014). Reduced self-referential neural response during intergroup competition predicts competitor harm. NeuroImage, 96, 36–43. https://doi.org/10.1016/j.neuroimage.2014.03.080Google Scholar

Corrigan, P. W., Morris, S. B., Michaels, P. J., Rafacz, J. D., & Rüsch, N. (2012). Challenging the public stigma of mental illness: A meta-analysis of outcome studies. Psychiatric Services, 63(10), 963–73. https://doi.org/10.1176/appi.ps.201100529Google Scholar

de Figueiredo, J. M., & Griffith, J. L. (2016). Chronic pain, chronic demoralization, and the role of psychotherapy. Journal of Contemporary Psychotherapy, 46(3), 167–77. https://doi.org/10.1007/s10879-016-9331-xGoogle Scholar

De Silva, M. J., Rathod, S. D., Hanlon, C., Breuer, E., Chisholm, D., Fekadu, A., Jordans, M., Kigozi, F., Petersen, I., Shidhaye, R., Medhin, G., Ssebunnya, J., Prince, M., Thornicroft, G., Tomlinson, M., Lund, C., & Patel, V. (2015). Evaluation of district mental healthcare plans: The PRIME consortium methodology. British Journal of Psychiatry, 208(s56), s63–s70. https://doi.org/10.1192/bjp.bp.114.153858Google Scholar