Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-20T06:14:56.290Z Has data issue: false hasContentIssue false

Stationary and ambulatory attention patterns are differentially associated with early temperamental risk for socioemotional problems: Preliminary evidence from a multimodal eye-tracking investigation

Published online by Cambridge University Press:  17 May 2019

Xiaoxue Fu*
Affiliation:
Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, OH, USA Department of Pediatrics, Ohio State University, Columbus, OH, USA
Eric E. Nelson
Affiliation:
Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, OH, USA Department of Pediatrics, Ohio State University, Columbus, OH, USA
Marcela Borge
Affiliation:
Department of Learning and Performance Systems, Pennsylvania State University, University Park, PA, USA
Kristin A. Buss
Affiliation:
Department of Psychology, Pennsylvania State University, University Park, PA, USA
Koraly Pérez-Edgar
Affiliation:
Department of Psychology, Pennsylvania State University, University Park, PA, USA
*
Author for Correspondence: Xiaoxue Fu, Center for Biobehavioral Health, Faculty Office Building 3 FB3244, Nationwide Children's Hospital, 700 Children's Drive, Columbus OH 43205; E-mail: xiaoxue.fu@nationwidechildrens.org.

Abstract

Behavioral Inhibition (BI) is a temperament type that predicts social withdrawal in childhood and anxiety disorders later in life. However, not all BI children develop anxiety. Attention bias (AB) may enhance the vulnerability for anxiety in BI children, and interfere with their development of effective emotion regulation. In order to fully probe attention patterns, we used traditional measures of reaction time (RT), stationary eye-tracking, and recently emerging mobile eye-tracking measures of attention in a sample of 5- to 7-year-olds characterized as BI (N = 23) or non-BI (N = 58) using parent reports. There were no BI-related differences in RT or stationary eye-tracking indices of AB in a dot-probe task. However, findings in a subsample from whom eye-tracking data were collected during a live social interaction indicated that BI children (N = 12) directed fewer gaze shifts to the stranger than non-BI children (N = 25). Moreover, the frequency of gazes toward the stranger was positively associated with stationary AB only in BI, but not in non-BI, children. Hence, BI was characterized by a consistent pattern of attention across stationary and ambulatory measures. We demonstrate the utility of mobile eye-tracking as an effective tool to extend the assessment of attention and regulation to social interactive contexts.

Type
Special Issue Articles
Copyright
Copyright © Cambridge University Press 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abend, R., Pine, D. S., & Bar-Haim, Y. (2014). The TAU-NIMH Attention Bias Measurement Toolbox. Retrieved from http://people.socsci.tau.ac.il/mu/anxietytrauma/research/Google Scholar
Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30, 217237. doi:10.1016/j.cpr.2009.11.004Google Scholar
Armstrong, J. M., Goldstein, L. H., & MacArthur Working Group on Outcome Assessment. (2003). Manual for the MacArthur Health and Behavior Questionnaire (HBQ 1.0). Pittsburgh, PA: University of Pittsburgh, MacArthur Foundation Research Network on Psychopathology and Development.Google Scholar
Armstrong, T., & Olatunji, B. O. (2012). Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis. Clinical Psychology Review, 32, 704723. doi:10.1016/j.cpr.2012.09.004Google Scholar
Auday, E. S., Taber-Thomas, B. C., & Pérez-Edgar, K. E. (2018). Neural correlates of attention bias to masked facial threat cues: Examining children at-risk for social anxiety disorder. NeuroImage: Clinical, 19, 202212. doi:10.1016/j.nicl.2018.04.003Google Scholar
Bambach, S., Crandall, D. J., Smith, L. B., & Yu, C. (2018). Toddler-inspired visual object learning. Paper presented at the 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada.Google Scholar
Bar-Haim, Y., Holoshitz, Y., Eldar, S., Frenkel, T. I., Muller, D., Charney, D. S., … Wald, I. (2010). Life-threatening danger and suppression of attention bias to threat. American Journal of Psychiatry, 167, 694698. doi:10.1176/appi.ajp.2009.09070956Google Scholar
Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007). Threat-related attentional bias in anxious and nonanxious individuals: A meta-analytic study. Psychological Bulletin, 133, 124. doi:10.1037/0033-2909.133.1.1Google Scholar
Beauchaine, T. P., & Zisner, A. (2017). Motivation, emotion regulation, and the latent structure of psychopathology: An integrative and convergent historical perspective. International Journal of Psychophysiology, 119, 108118. doi:10.1016/j.ijpsycho.2016.12.014Google Scholar
Beesdo, K., Knappe, S., & Pine, D. S. (2009). Anxiety and anxiety disorders in children and adolescents: Developmental issues and implications for DSM-V. Psychiatric Clinics of North America, 32, 483524. doi:10.1016/j.psc.2009.06.002Google Scholar
Bishop, G., Spence, S. H., & McDonald, C. (2003). Can parents and teachers provide a reliable and valid report of behavioral inhibition? Child Development, 74, 18991917.Google Scholar
Bishop, S. J. (2008). Neural mechanisms underlying selective attention to threat. Annals of the New York Academy of Sciences, 1129, 141152. doi:10.1196/annals.1417.016Google Scholar
Blackford, J. U., Clauss, J. A., & Benningfield, M. M. (2018). The neurobiology of behavioral inhibition as a developmental mechanism. In Pérez-Edgar, K. & Fox, N. A. (Eds.), Behavioral inhibition: Integrating theory, research, and clinical perspectives (pp. 113134). Cham: Springer International.Google Scholar
Blackford, J. U., & Pine, D. S. (2012). Neural substrates of childhood anxiety disorders: A review of neuroimaging findings. Child and Adolescent Psychiatric Clinics of North America, 21, 501525. doi:10.1016/j.chc.2012.05.002Google Scholar
Britton, J. C., Bar-Haim, Y., Clementi, M. A., Sankin, L. S., Chen, G., Shechner, T., … Pine, D. S. (2013). Training-associated changes and stability of attention bias in youth: Implications for Attention Bias Modification Treatment for pediatric anxiety. Developmental Cognitive Neuroscience, 4, 5264. doi:10.1016/j.dcn.2012.11.001Google Scholar
Broeren, S., & Muris, P. (2010). A psychometric evaluation of the behavioral inhibition questionnaire in a non-clinical sample of Dutch children and adolescents. Child Psychiatry & Human Development, 41, 214229. doi:10.1007/s10578-009-0162-9Google Scholar
Broeren, S., Muris, P., Bouwmeester, S., Field, A. P., & Voerman, J. S. (2011). Processing biases for emotional faces in 4- to 12-year-old non-clinical children: An exploratory study of developmental patterns and relationships with social anxiety and behavioral inhibition. Journal of Experimental Psychopathology, 2, 454474.Google Scholar
Brown, H. M., Eley, T. C., Broeren, S., MacLeod, C., Rinck, M., Hadwin, J. A., & Lester, K. J. (2014). Psychometric properties of reaction time based experimental paradigms measuring anxiety-related information-processing biases in children. Journal of Anxiety Disorders, 28, 97107. doi:10.1016/j.janxdis.2013.11.004Google Scholar
Burris, J. L., Barry-Anwar, R. A., & Rivera, S. M. (2017). An eye tracking investigation of attentional biases towards affect in young children. Developmental Psychology, 53, 14181427. doi:10.1037/dev0000345Google Scholar
Burris, J. L., Barry-Anwar, R. A., Sims, R. N., Hagerman, R. J., Tassone, F., & Rivera, S. M. (2017). Children with fragile X syndrome display threat-specific biases toward emotion. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2, 487492. doi:10.1016/j.bpsc.2017.06.003Google Scholar
Buss, K. A., & Kiel, E. J. (2013). Temperamental risk factors for pediatric anxiety disorders. In Vasa, R. A. & Roy, A. K. (Eds.), Pediatric anxiety disorders (pp. 4768). New York: Springer.Google Scholar
Cisler, J. M., & Koster, E. H. W. (2010). Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review. Clinical Psychology Review, 30, 203216. doi:10.1016/j.cpr.2009.11.003Google Scholar
Clauss, J. A., Benningfield, M. M., Rao, U., & Blackford, J. U. (2016). Altered prefrontal cortex function marks heightened anxiety risk in children. Journal of the American Academy of Child & Adolescent Psychiatry, 55, 809816. doi:10.1016/j.jaac.2016.05.024Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.Google Scholar
Cole, C. E., Zapp, D. J., Fettig, N. B., & Pérez-Edgar, K. (2016). Impact of attention biases to threat and effortful control on individual variations in negative affect and social withdrawal in very young children. Journal of Experimental Child Psychology, 141, 210221. doi:10.1016/j.jecp.2015.09.012Google Scholar
Cole, P. M., Hall, S. E., & Hajal, N. J. (2017). Emotion dysregulation as a risk factor for psychopathology. In Beauchaine, T. P. & Hinshaw, S. P. (Eds.), Child and adolescent psychopathology (3rd ed., pp. 346386). Hoboken, NJ: Wiley.Google Scholar
Coplan, R. J., & Arbeau, K. A. (2008). The stresses of a “brave new world”: Shyness and school adjustment in kindergarten. Journal of Research in Childhood Education, 22, 377389. doi:10.1080/02568540809594634Google Scholar
Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 201215. doi:10.1038/nrn755Google Scholar
Crockenberg, S. C., Leerkes, E. M., & Bárrig Jó, P. S. (2008). Predicting aggressive behavior in the third year from infant reactivity and regulation as moderated by maternal behavior. Development and Psychopathology, 20, 3754. doi:10.1017/S0954579408000023Google Scholar
Datavyu Team. (2014). Datavyu: A Video Coding Tool. Databrary Project, New York University. http://datavyu.orgGoogle Scholar
Degnan, K. A., Almas, A. N., Henderson, H. A., Hane, A. A., Walker, O. L., & Fox, N. A. (2014). Longitudinal trajectories of social reticence with unfamiliar peers across early childhood. Developmental Psychology, 50, 23112323. doi:10.1037/a0037751Google Scholar
Degnan, K. A., & Fox, N. A. (2007). Behavioral inhibition and anxiety disorders: Multiple levels of a resilience process. Development and Psychopathology, 19, 729746. doi:10.1017/S0954579407000363Google Scholar
Dudeney, J., Sharpe, L., & Hunt, C. (2015). Attentional bias towards threatening stimuli in children with anxiety: A meta-analysis. Clinical Psychology Review, 40, 6675. doi:10.1016/j.cpr.2015.05.007Google Scholar
Dyson, M. W., Klein, D. N., Olino, T. M., Dougherty, L. R., & Durbin, C. E. (2011). Social and non-social behavioral inhibition in preschool-age children: Differential associations with parent-reports of temperament and anxiety. Child Psychiatry & Human Development, 42, 390405. doi:10.1007/s10578-011-0225-6Google Scholar
Ehlers, M. R., & Todd, R. M. (2017). Genesis and maintenance of attentional biases: The role of the locus coeruleus-noradrenaline system, 2017, 6817349. doi:10.1155/2017/6817349Google Scholar
Eisenberg, N., Spinrad, T. L., & Eggum, N. D. (2010). Emotion-related self-regulation and its relation to children's maladjustment. Annual Review of Clinical Psychology, 6, 495525. doi:10.1146/annurev.clinpsy.121208.131208Google Scholar
Essex, M. J., Boyce, W. T., Goldstein, L. H., Armstrong, J. M., Kraemer, H. C., & Kupfer, D. J. (2002). The confluence of mental, physical, social, and academic difficulties in middle childhood: II. Developing the MacArthur Health and Behavior Questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 41, 588603. doi:10.1097/00004583-200205000-00017Google Scholar
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7, 336353. doi:10.1037/1528-3542.7.2.336Google Scholar
Field, A. P., & Lester, K. J. (2010). Is there room for “development” in developmental models of information processing biases to threat in children and adolescents? Clinical Child and Family Psychology Review, 13, 315332. doi:10.1007/s10567-010-0078-8Google Scholar
Foulsham, T., Walker, E., & Kingstone, A. (2011). The where, what and when of gaze allocation in the lab and the natural environment. Vision Research, 51, 19201931. doi:10.1016/j.visres.2011.07.002Google Scholar
Fox, N. A., Henderson, H. A., Rubin, K. H., Calkins, S. D., & Schmidt, L. A. (2001). Continuity and discontinuity of behavioral inhibition and exuberance: Psychophysiological and behavioral influences across the first four years of life. Child Development, 72, 121.Google Scholar
Fox, N. A., Snidman, N., Haas, S. A., Degnan, K. A., & Kagan, J. (2015). The relations between reactivity at 4 months and behavioral inhibition in the second year: Replication across three independent samples. Infancy, 20, 98114. doi:10.1111/infa.12063Google Scholar
Franchak, J. M. (2017). Using head-mounted eye tracking to study development. In Hopkins, B., Geangu, E., & Linkenauger, S. (Eds.), The Cambridge encyclopedia of child development (2nd ed.). Cambridge: Cambridge University Press.Google Scholar
Franchak, J. M. (in press). Looking with the eyes and head. In Wagman, J. & Blau, J. (Eds.), Perception as information detection: Reflections on Gibson's ecological approach to visual perception. Hillsdale, NJ: Erlbaum.Google Scholar
Franchak, J. M., & Adolph, K. E. (2010). Visually guided navigation: Head-mounted eye-tracking of natural locomotion in children and adults. Vision Research, 50, 27662774. doi:10.1016/j.visres.2010.09.024Google Scholar
Franchak, J. M., Kretch, K. S., & Adolph, K. E. (2017). See and be seen: Infant–caregiver social looking during locomotor free play. Developmental Science, 21, e12626. doi:10.1111/desc.12626Google Scholar
Franchak, J. M., Kretch, K. S., Soska, K. C., & Adolph, K. E. (2011). Head-mounted eye-tracking: A new method to describe infant looking. Child Development, 82(6), 17381750. https://doi.org/10.1111/j.1467-8624.2011.01670.xGoogle Scholar
Freeth, M., Foulsham, T., & Kingstone, A. (2013). What affects social attention? Social presence, eye contact and autistic traits. PLOS ONE, 8, e53286. doi:10.1371/journal.pone.0053286Google Scholar
Fu, X., & Pérez-Edgar, K. (2019). Threat-related attention bias in socioemotional development: A critical review and methodological considerations. Developmental Review, 51, 3157. doi:10.1016/j.dr.2018.11.002Google Scholar
Fu, X., Taber-Thomas, B. C., & Pérez-Edgar, K. (2017). Frontolimbic functioning during threat-related attention: Relations to early behavioral inhibition and anxiety in children. Biological Psychology, 122, 98109. doi:10.1016/j.biopsycho.2015.08.010Google Scholar
Gamble, A. L., & Rapee, R. M. (2009). The time-course of attentional bias in anxious children and adolescents. Journal of Anxiety Disorders, 23, 841847. doi:10.1016/j.janxdis.2009.04.001Google Scholar
Goldsmith, H. H., Reilly, H. H., Lemery, K. S., Longley, S., & Prescott, A. (1994). Manual for the Preschool Laboratory Temperament Assessment Battery (Lab-TAB). Unpublished manuscript, University of Wisconsin, Madison.Google Scholar
Gross, J. J. (1998). Antecedent- and response-focused emotion regulation: Divergent consequences for experience, expression, and physiology. Journal of Personality and Social Psychology, 74, 224237.Google Scholar
Gross, J. J. (2014). Handbook of emotion regulation (2nd ed.). New York: Guilford Press.Google Scholar
Guyer, A. E., Nelson, E. E., Perez-Edgar, K., Hardin, M. G., Roberson-Nay, R., Monk, C. S., … Ernst, M. (2006). Striatal Functional Alteration in Adolescents Characterized by Early Childhood Behavioral Inhibition. Journal of Neuroscience, 26(24), 63996405. https://doi.org/10.1523/JNEUROSCI.0666-06.2006Google Scholar
Hardee, J. E., Benson, B. E., Bar-Haim, Y., Mogg, K., Bradley, B. P., Chen, G., … Pérez-Edgar, K. (2013). Patterns of neural connectivity during an attention bias task moderate associations between early childhood temperament and internalizing symptoms in young adulthood. Biological Psychiatry, 74, 273279. doi:10.1016/j.biopsych.2013.01.036Google Scholar
Hayhoe, M. M., & Rothkopf, C. A. (2011). Vision in the natural world. Wiley Interdisciplinary Reviews: Cognitive Science, 2, 158166. doi:10.1002/wcs.113Google Scholar
Hedge, C., Powell, G., & Sumner, P. (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior Research Methods, 50, 11661186. doi:10.3758/s13428-017-0935-1Google Scholar
Henderson, H. A., Pine, D. S., & Fox, N. A. (2015). Behavioral inhibition and developmental risk: A dual-processing perspective. Neuropsychopharmacology, 40, 207224. doi:10.1038/npp.2014.189Google Scholar
Henderson, H. A., & Wilson, M. J. G. (2017). Attention processes underlying risk and resilience in behaviorally inhibited children. Current Behavioral Neuroscience Reports, 4, 99106. doi:10.1007/s40473-017-0111-zGoogle Scholar
Hilt, L. M., Hanson, J. L., & Pollak, S. D. (2011). Emotion dysregulation. In Brown, B. B. & Prinstein, M. J. (Eds.), Encyclopedia of adolescence (Vol. 3, pp. 160169). New York: Elsevier.Google Scholar
Hilt, L. M., Leitzke, B. T., & Pollak, S. D. (2017). Can't take my eyes off of you: Eye tracking reveals how ruminating young adolescents get stuck. Journal of Clinical Child & Adolescent Psychology, 46, 858867. doi:10.1080/15374416.2015.1121824Google Scholar
Hollenstein, T. (2007). State space grids: Analyzing dynamics across development. International Journal of Behavioral Development, 31, 384396. doi:10.1177/0165025407077765Google Scholar
In-Albon, T., Kossowsky, J., & Schneider, S. (2009). Vigilance and avoidance of threat in the eye movements of children with separation anxiety disorder. Journal of Abnormal Child Psychology, 38, 225235. doi:10.1007/s10802-009-9359-4Google Scholar
Jazaieri, H., Morrison, A. S., Goldin, P. R., & Gross, J. J. (2015). The role of emotion and emotion regulation in social anxiety disorder. Current Psychiatry Reports, 17, 531. doi:10.1007/s11920-014-0531-3Google Scholar
Jung, Y. J., Zimmerman, H. T., & Pérez-Edgar, K. (2018). A methodological case study with mobile eye-tracking of child interaction in a science museum. TechTrends, 62, 509517. doi:10.1007/s11528-018-0310-9Google Scholar
Kagan, J. (2003). Behavioral inhibition as a temperamental category. In Davidson, R. J., Sherer, K. R., & Hill Goldsmith, H. (Eds.), Handbook of affective sciences (pp. 320331). New York: Oxford University Press.Google Scholar
Kagan, J. (2012). The biography of behavioral inhibition. In Zentner, M. & Shiner, R. L. (Eds.), The handbook of temperament (pp. 6982). New York: Guilford Press.Google Scholar
Kagan, J., Reznick, J. S., Clarke, C., Snidman, N., & Garcia-Coll, C. (1984). Behavioral inhibition to the unfamiliar. Child Development, 55, 22122225. doi:10.2307/1129793Google Scholar
Kassner, M., Patera, W., & Bulling, A. (2014). Pupil: An open source platform for pervasive eye tracking and mobile gaze-based interaction. ArXiv E-Prints, 1405. arXiv:1405.0006Google Scholar
Kiel, E. J., & Buss, K. A. (2011). Toddlers’ duration of attention towards putative threat. Infancy, 16, 198210. doi:10.1111/j.1532-7078.2010.00036.xGoogle Scholar
Kretch, K. S., & Adolph, K. E. (2015). Active vision in passive locomotion: Real-world free viewing in infants and adults. Developmental Science, 18, 736750. doi:10.1111/desc.12251Google Scholar
Kretch, K. S., Franchak, J. M., & Adolph, K. E. (2014). Crawling and walking infants see the world differently. Child Development, 85, 15031518. doi:10.1111/cdev.12206Google Scholar
Kujawa, A. J., Torpey, D., Kim, J., Hajcak, G., Rose, S., Gotlib, I. H., & Klein, D. N. (2010). Attentional biases for emotional faces in young children of mothers with chronic or recurrent depression. Journal of Abnormal Child Psychology, 39, 125135. doi:10.1007/s10802-010-9438-6Google Scholar
Laidlaw, K. E. W., Foulsham, T., Kuhn, G., & Kingstone, A. (2011). Potential social interactions are important to social attention. Proceedings of the National Academy of Sciences, 108, 55485553. doi:10.1073/pnas.1017022108Google Scholar
Lemery-Chalfant, K., Schreiber, J. E., Schmidt, N. L., Hulle, C. A. V., Essex, M. J., & Goldsmith, H. H. (2007). Assessing internalizing, externalizing, and attention problems in young children: Validation of the MacArthur HBQ. Journal of the American Academy of Child & Adolescent Psychiatry, 46, 13151323. doi:10.1097/chi.0b013e3180f616c6Google Scholar
Lamey, A., Hollenstein, T., Lewis, M. D., & Granic, I. (2004). GridWare (Version 1.1). [Computer software]. Retrieved from http://www.statespacegrids.orgGoogle Scholar
Leppänen, J. M., Cataldo, J. K., Enlow, M. B., & Nelson, C. A. (2018). Early development of attention to threat-related facial expressions. PLOS ONE, 13, e0197424. doi:10.1371/journal.pone.0197424Google Scholar
Leppänen, J. M., & Nelson, C. A. (2012). Early development of fear processing. Current Directions in Psychological Science, 21, 200204. doi:10.1177/0963721411435841Google Scholar
Lewis, M. D., Lamey, A. V., & Douglas, L. (1999). A new dynamic systems method for the analysis of early socioemotional development. Developmental Science, 2, 457475. doi:10.1111/1467-7687.00090Google Scholar
Liu, P., Taber-Thomas, B. C., Fu, X., & Pérez-Edgar, K. E. (2018). Biobehavioral markers of attention bias modification in temperamental risk for anxiety: A randomized control trial. Journal of the American Academy of Child & Adolescent Psychiatry, 57, 103110. doi:10.1016/j.jaac.2017.11.016Google Scholar
Maxwell, S. E. (2000). Sample size and multiple regression analysis. Psychological Methods, 5, 434458. doi:10.1037/1082-989X.5.4.434Google Scholar
Mernick, B., Pine, A., Gendler, T., & Shechner, T. (2018). A psychometric evaluation of the behavioral inhibition questionnaire in a non-clinical sample of Israeli children and adolescents. Journal of Child and Family Studies, 27, 17941804. doi:10.1007/s10826-018-1027-2Google Scholar
Mogg, K., & Bradley, B. P. (1998). A cognitive-motivational analysis of anxiety. Behaviour Research and Therapy, 36, 809848. doi:10.1016/S0005-7967(98)00063-1Google Scholar
Morales, S., Fu, X., & Pérez-Edgar, K. E. (2016). A developmental neuroscience perspective on affect-biased attention. Developmental Cognitive Neuroscience, 21, 2641. doi:10.1016/j.dcn.2016.08.001Google Scholar
Morales, S., Pérez-Edgar, K. E., & Buss, K. A. (2015). Attention biases towards and away from threat mark the relation between early dysregulated fear and the later emergence of social withdrawal. Journal of Abnormal Child Psychology, 43, 10671078. doi:10.1007/s10802-014-9963-9Google Scholar
Morales, S., Pérez-Edgar, K., & Buss, K. A. (2016). Longitudinal relations among exuberance, externalizing behaviors, and attentional bias to reward: The mediating role of effortful control. Developmental Science, 19, 853862. doi:10.1111/desc.12320Google Scholar
Morales, S., Ram, N., Buss, K. A., Cole, P. M., Helm, J. L., & Chow, S.-M. (2018). Age-related changes in the dynamics of fear-related regulation in early childhood. Developmental Science, 21, e12633. doi:10.1111/desc.12633Google Scholar
Morales, S., Taber-Thomas, B. C., & Pérez-Edgar, K. E. (2017). Patterns of attention to threat across tasks in behaviorally inhibited children at risk for anxiety. Developmental Science, 20. doi:10.1111/desc.12391Google Scholar
Nozadi, S., Troller-Renfree, S., White, L. K., Frenkel, T., Degnan, K. A., Bar-Haim, Y., … Fox, N. A. (2016). The moderating role of attention biases to threat on the link between behavioral inhibition and anxiety in children. Journal of Experimental Psychopathology, 7, 451465.Google Scholar
Oakes, L. M. (2010). Infancy guidelines for publishing eye-tracking data. Infancy, 15, 15. doi:10.1111/j.1532-7078.2010.00030.xGoogle Scholar
Peltola, M. J., Yrttiaho, S., & Leppänen, J. M. (2018). Infants’ attention bias to faces as an early marker of social development. Developmental Science, 21, e12687. doi:10.1111/desc.12687Google Scholar
Pérez-Edgar, K. (2018). Attention mechanisms in behavioral inhibition: Exploring and exploiting the environment. In Pérez-Edgar, K. & Fox, N. A. (Eds.), Behavioral inhibition: Integrating theory, research, and clinical perspectives (pp. 237261). Cham: Springer International.Google Scholar
Pérez-Edgar, K., Bar-Haim, Y., McDermott, J. M., Chronis-Tuscano, A., Pine, D. S., & Fox, N. A. (2010). Attention biases to threat and behavioral inhibition in early childhood shape adolescent social withdrawal. Emotion (Washington, DC), 10, 349357. doi:10.1037/a0018486Google Scholar
Pérez-Edgar, K. E., & Guyer, A. E. (2014). Behavioral inhibition: Temperament or prodrome? Current Behavioral Neuroscience Reports, 1, 182190. doi:10.1007/s40473-014-0019-9Google Scholar
Pérez-Edgar, K., Morales, S., LoBue, V., Taber-Thomas, B. C., Allen, E. K., Brown, K. M., & Buss, K. A. (2017). The impact of negative affect on attention patterns to threat across the first 2 years of life. Developmental Psychology, 53, 22192232.Google Scholar
Pérez-Edgar, K., Reeb-Sutherland, B. C., McDermott, J. M., White, L. K., Henderson, H. A., Degnan, K. A., … Fox, N. A. (2011). Attention biases to threat link behavioral inhibition to social withdrawal over time in very young children. Journal of Abnormal Child Psychology, 39, 885895. doi:10.1007/s10802-011-9495-5Google Scholar
Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35, 7389. doi:10.1146/annurev-neuro-062111-150525Google Scholar
Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology, 58, 123. doi:10.1146/annurev.psych.58.110405.085516Google Scholar
Posner, M. I., Rothbart, M. K., Sheese, B. E., & Voelker, P. (2014). Developing attention: Behavioral and brain mechanisms. Advances in Neuroscience, 2014, e405094. doi:10.1155/2014/405094Google Scholar
Price, R. B., Kuckertz, J. M., Siegle, G. J., Ladouceur, C. D., Silk, J. S., Ryan, N. D., … Amir, N. (2015). Empirical recommendations for improving the stability of the dot-probe task in clinical research. Psychological Assessment, 27, 365376. doi:10.1037/pas0000036Google Scholar
Price, R. B., Rosen, D., Siegle, G. J., Ladouceur, C. D., Tang, K., Allen, K. B., … Silk, J. S. (2016). From anxious youth to depressed adolescents: Prospective prediction of 2-year depression symptoms via attentional bias measures. Journal of Abnormal Psychology, 125, 267278. doi:10.1037/abn0000127Google Scholar
Price, R. B., Siegle, G. J., Silk, J. S., Ladouceur, C., McFarland, A., Dahl, R. E., & Ryan, N. D. (2013). Sustained neural alterations in anxious youth performing an attentional bias task: A pupilometry study. Depression and Anxiety, 30, 2230. doi:10.1002/da.21966Google Scholar
Prior, M., Smart, D., Sanson, A., & Oberklaid, F. (2000). Does shy-inhibited temperament in childhood lead to anxiety problems in adolescence? Journal of the American Academy of Child & Adolescent Psychiatry, 39, 461468. doi:10.1097/00004583-200004000-00015Google Scholar
Redcay, E., & Warnell, K. R. (2018). A social-interactive neuroscience approach to understanding the developing brain. Advances in Child Development and Behavior, 54, 144. doi:10.1016/bs.acdb.2017.10.001Google Scholar
Rodebaugh, T. L., Scullin, R. B., Langer, J. K., Dixon, D. J., Huppert, J. D., Bernstein, A., … Lenze, E. J. (2016). Unreliability as a threat to understanding psychopathology: The cautionary tale of attentional bias. Journal of Abnormal Psychology, 125, 840851. doi:10.1037/abn0000184Google Scholar
Rothbart, M. K., Sheese, B. E., Rueda, M. R., & Posner, M. I. (2011). Developing mechanisms of self-regulation in early life. Emotion Review, 3, 207213. doi:10.1177/1754073910387943Google Scholar
Roy, A. K., Dennis, T. A., & Warner, C. M. (2015). A critical review of attentional threat bias and its role in the treatment of pediatric anxiety disorders. Journal of Cognitive Psychotherapy, 29, 171184. doi:10.1891/0889-8391.29.3.171Google Scholar
Rubin, K. H., Coplan, R. J., & Bowker, J. C. (2009). Social withdrawal in childhood. Annual Review of Psychology, 60, 141171. doi:10.1146/annurev.psych.60.110707.163642Google Scholar
Rueda, M. R. (2012). Effortful control. In Zentner, M. & Shiner, R. L. (Eds.), The handbook of temperament (pp. 145167). New York: Guilford Press.Google Scholar
Schwartz, C. E., Wright, C. I., Shin, L. M., Kagan, J., & Rauch, S. L. (2003). Inhibited and uninhibited infants “Grown Up”: Adult amygdalar response to novelty. Science, 300, 19521953. doi:10.1126/science.1083703Google Scholar
Seefeldt, W. L., Krämer, M., Tuschen-Caffier, B., & Heinrichs, N. (2014). Hypervigilance and avoidance in visual attention in children with social phobia. Journal of Behavior Therapy and Experimental Psychiatry, 45, 105112. doi:10.1016/j.jbtep.2013.09.004Google Scholar
Shechner, T., Britton, J. C., Pérez-Edgar, K., Bar-Haim, Y., Ernst, M., Fox, N. A., … Pine, D. S. (2012). Attention biases, anxiety, and development: Toward or away from threats or rewards? Depression & Anxiety (1091–4269), 29, 282294. doi:10.1002/da.20914Google Scholar
Shechner, T., Fox, N. A., Mash, J. A., Jarcho, J. M., Chen, G., Leibenluft, E., … Britton, J. C. (2018). Differences in neural response to extinction recall in young adults with or without history of behavioral inhibition. Development and Psychopathology, 30, 179189. doi:10.1017/S0954579417000554Google Scholar
Shechner, T., Jarcho, J. M., Britton, J. C., Leibenluft, E., Pine, D. S., & Nelson, E. E. (2013). Attention bias of anxious youth during extended exposure of emotional face pairs: An eye-tracking study. Depression and Anxiety, 30, 1421. doi:10.1002/da.21986Google Scholar
Shechner, T., Jarcho, J. M., Wong, S., Leibenluft, E., Pine, D. S., & Nelson, E. E. (2017). Threats, rewards, and attention deployment in anxious youth and adults: An eye tracking study. Biological Psychology, 122(Suppl. C), 121129. doi:10.1016/j.biopsycho.2015.10.004Google Scholar
Sylvester, C. M., Corbetta, M., Raichle, M. E., Rodebaugh, T. L., Schlaggar, B. L., Sheline, Y. I., … Lenze, E. J. (2012). Functional network dysfunction in anxiety and anxiety disorders. Trends in Neurosciences, 35, 527535. doi:10.1016/j.tins.2012.04.012Google Scholar
Sylvester, C. M., & Pine, D. S. (2018). The biological bridge between behavioral inhibition and psychopathology. In Pérez-Edgar, K. & Fox, N. A. (Eds.), Behavioral inhibition: Integrating theory, research, and clinical perspectives (pp. 309335). Cham: Springer International.Google Scholar
Szpunar, M., & Young, A. R. (2012). Information processing biases in behaviorally inhibited children: Response to threat and novelty. Child Health and Education, 4, 4763.Google Scholar
Thai, N., Taber-Thomas, B. C., & Pérez-Edgar, K. E. (2016). Neural correlates of attention biases, behavioral inhibition, and social anxiety in children: An ERP study. Developmental Cognitive Neuroscience, 19, 200210. doi:10.1016/j.dcn.2016.03.008Google Scholar
Thompson, R. A. (1994). Emotion regulation: A theme in search of definition. Monographs of the Society for Research in Child Development, 59(2–3), 2552. doi:10.1111/j.1540-5834.1994.tb01276.xGoogle Scholar
Todd, R. M., Cunningham, W. A., Anderson, A. K., & Thompson, E. (2012). Affect-biased attention as emotion regulation. Trends in Cognitive Sciences, 16, 365372. doi:10.1016/j.tics.2012.06.003Google Scholar
Tone, E. B., Garn, C. L., & Pine, D. S. (2016). Anxiety regulation: A developmental psychopathology perspective. In Cicchetti, D. (Ed.), Developmental psychopathology (3rd ed., pp. 134). New York: Wiley.Google Scholar
Tottenham, N., Tanaka, J. W., Leon, A. C., McCarry, T., Nurse, M., Hare, T. A., … Nelson, C. (2009). The NimStim set of facial expressions: Judgments from untrained research participants. Psychiatry Research, 168, 242249. doi:10.1016/j.psychres.2008.05.006Google Scholar
Troller-Renfree, S. V., Buzzell, G. A., Pine, D. S., Henderson, H. A., & Fox, N. A. (2019). Consequences of not planning ahead: Reduced proactive control moderates longitudinal relations between behavioral inhibition and anxiety. Journal of the American Academy of Child & Adolescent Psychiatry. Advance online publication. doi:10.1016/j.jaac.2018.06.040Google Scholar
Tsypes, A., Owens, M., & Gibb, B. E. (2017). Suicidal ideation and attentional biases in children: An eye-tracking study. Journal of Affective Disorders, 222, 133137. doi:10.1016/j.jad.2017.07.012Google Scholar
Vervoort, L., Wolters, L. H., Hogendoorn, S. M., Prins, P. J., de Haan, E., Boer, F., & Hartman, C. A. (2011). Temperament, attentional processes, and anxiety: Diverging links between adolescents with and without anxiety disorders? Journal of Clinical Child & Adolescent Psychology, 40, 144155. doi:10.1080/15374416.2011.533412Google Scholar
Wald, I., Shechner, T., Bitton, S., Holoshitz, Y., Charney, D. S., Muller, D., … Bar-Haim, Y. (2011). Attention bias away from threat during life threatening danger predicts PTSD symptoms at one-year follow-up. Depression and Anxiety, 28, 406411. doi:10.1002/da.20808Google Scholar
White, L. K., Degnan, K. A., Henderson, H. A., Pérez-Edgar, K., Walker, O. L., Shechner, T., … Fox, N. A. (2017). Developmental relations among behavioral inhibition, anxiety, and attention biases to threat and positive information. Child Development, 88, 141155. doi:10.1111/cdev.12696Google Scholar
White, L. K., Helfinstein, S. M., Reeb-Sutherland, B. C., Degnan, K. A., & Fox, N. A. (2009). Role of attention in the regulation of fear and anxiety. Developmental Neuroscience, 31, 309317. doi:10.1159/000216542Google Scholar
Woody, M. L., Rosen, D., Allen, K. B., Price, R. B., Hutchinson, E., Amole, M. C., & Silk, J. S. (2019). Looking for the negative: Depressive symptoms in adolescent girls are associated with sustained attention to a potentially critical judge during in vivo social evaluation. Journal of Experimental Child Psychology, 179, 90102. doi:10.1016/j.jecp.2018.10.011Google Scholar
Yiend, J. (2010). The effects of emotion on attention: A review of attentional processing of emotional information. Cognition & Emotion, 24, 347. doi:10.1080/02699930903205698Google Scholar
Yu, C., Yurovsky, D., & Xu, T. (2012). Visual data mining: An exploratory approach to analyzing temporal patterns of eye movements. Infancy, 17, 3360. doi:10.1111/j.1532-7078.2011.00095.xGoogle Scholar
Supplementary material: File

Fu et al. supplementary material

Fu et al. supplementary material 1

Download Fu et al. supplementary material(File)
File 25.6 KB