Alexander, A. L., Lee, J. E., Lazar, M. and Field, A. S. (2007). Diffusion tensor imaging of the brain. Neurotherapeutics, 4, 316–329.
et al. (2011). Preliminary evidence that allelic variation in the LMX1A gene influences training-related working memory improvement. Neuropsychologia, 49, 1938–1942.
Bengtsson, S. L., Nagy, Z., Skare, S., Forsman, L., Forssberg, H. and Ullen, F. (2005). Extensive piano practicing has regionally specific effects on white matter development. Nature Neuroscience, 8, 1148–1150.
Bezzola, L., Merillat, S., Gaser, C. and Jancke, L. (2011). Training-induced neural plasticity in golf novices. Journal of Neuroscience, 31, 12444–12448.
Bisdas, S., Bohning, D. E., Besenski, N., Nicholas, J. S. and Rumboldt, Z. (2008). Reproducibility, interrater agreement, and age-related changes of fractional anisotropy measures at 3T in healthy subjects: effect of the applied b-value. AJNR: American Journal of Neuroradiology, 29, 1128–1133.
Boyke, J., Driemeyer, J., Gaser, C., Buchel, C. and May, A. (2008). Training-induced brain structure changes in the elderly. Journal of Neuroscience, 28, 7031–7035.
Bueti, D., Lasaponara, S., Cercignani, M. and Macaluso, E. (2012). Learning about time: plastic changes and interindividual brain differences. Neuron, 75, 725–737.
Burzynska, A. Z.
et al. (2010). Age-related differences in white matter microstructure: region-specific patterns of diffusivity. NeuroImage, 49, 2104–2112.
Ceccarelli, A., Rocca, M. A., Pagani, E., Falini, A., Comi, G. and Filippi, M. (2009). Cognitive learning is associated with gray matter changes in healthy human individuals: a tensor-based morphometry study. NeuroImage, 48, 585–589.
et al. (2003). From diffusion tractography to quantitative white matter tract measures: a reproducibility study. NeuroImage, 18, 348–359.
Colcombe, S. J.
et al. (2006). Aerobic exercise training increases brain volume in aging humans. Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 61, 1166–1170.
et al. (2012). Structural changes after videogame practice related to a brain network associated with intelligence. Intelligence, 40, 479–489.
Cummings, B. J.
et al. (2005). Human neural stem cells differentiate and promote locomotor recovery in spinal cord-injured mice. Proceedings of the National Academy of Sciences of the United States of America, 102, 14069–14074.
Danielian, L. E., Iwata, N. K., Thomasson, D. M. and Floeter, M. K. (2010). Reliability of fiber tracking measurements in diffusion tensor imaging for longitudinal study. NeuroImage, 49, 1572–1580.
Draganski, B. and Kherif, F. (2013).
In vivo assessment of use-dependent brain plasticity – beyond the “one trick pony” imaging strategy. NeuroImage, 73, 255–259; discussion 265–257.
Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U. and May, A. (2004). Neuroplasticity: changes in grey matter induced by training. Nature, 427, 311–312.
et al. (2006). Temporal and spatial dynamics of brain structure changes during extensive learning. Journal of Neuroscience, 26, 6314–6317.
Driemeyer, J., Boyke, J., Gaser, C., Buchel, C. and May, A. (2008). Changes in gray matter induced by learning – revisited. PLoS One, 3, e2669.
et al. (2010). Effects of memory training on cortical thickness in the elderly. NeuroImage, 52, 1667–1676.
et al. (2012). Memory training impacts short-term changes in aging white matter: a longitudinal diffusion tensor imaging study. Human Brain Mapping, 33, 2390–2406.
Erickson, K. I. (2013). Evidence for structural plasticity in humans: comment on Thomas and Baker (2012). NeuroImage, 73, 237–238; discussion 265–237.
Erickson, K. I.
et al. (2011). Exercise training increases size of hippocampus and improves memory. Proceedings of the National Academy of Sciences of the United States of America, 108, 3017–3022.
Eriksson, P. S.
et al. (1998). Neurogenesis in the adult human hippocampus. Nature Medicine, 4, 1313–1317.
Fields, R. D. (2011). Imaging learning: the search for a memory trace. Neuroscientist, 17, 185–196.
Fields, R. D. (2013). Changes in brain structure during learning: fact or artifact? Reply to Thomas and Baker. NeuroImage, 73, 260–264; discussion 265–267.
Golestani, N., Paus, T. and Zatorre, R. J. (2002). Anatomical correlates of learning novel speech sounds. Neuron, 35, 997–1010.
et al. (2012). Bidirectional gray matter changes after complex motor skill learning. Frontiers in Systems Neuroscience, 6, 37.
et al. (2006). Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. NeuroImage, 32, 180–194.
Heiervang, E., Behrens, T. E., Mackay, C. E., Robson, M. D. and Johansen-Berg, H. (2006). Between session reproducibility and between subject variability of diffusion MR and tractography measures. NeuroImage, 33, 867–877.
et al. (2004). Plasticity of cortical activation related to working memory during training. American Journal of Psychiatry, 161, 745–747.
Holzel, B. K.
et al. (2011). Mindfulness practice leads to increases in regional brain gray matter density. Psychiatry Research, 191, 36–43.
et al. (2008). Gray matter increase induced by practice correlates with task-specific activation: a combined functional and morphometric magnetic resonance imaging study. Journal of Neuroscience, 28, 4210–4215.
et al. (2006). Astrocytes promote myelination in response to electrical impulses. Neuron, 49, 823–832.
Jaeggi, S. M., Buschkuehl, M., Jonides, J. and Shah, P. (2011). Short- and long-term benefits of cognitive training. Proceedings of the National Academy of Sciences of the United States of America, 108, 10081–10086.
Jbabdi, S., Behrens, T. E. and Smith, S. M. (2010). Crossing fibres in tract-based spatial statistics. NeuroImage, 49, 249–256.
Johansen-Berg, H. (2012). The future of functionally-related structural change assessment. NeuroImage, 62, 1293–1298.
Jolles, D. D., Grol, M. J., Van Buchem, M. A., Rombouts, S. A. and Crone, E. A. (2010). Practice effects in the brain: changes in cerebral activation after working memory practice depend on task demands. NeuroImage, 52, 658–668.
et al. (2013). Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations. NeuroImage, 83, 472–484.
Karbach, J. and Kray, J. (2009). How useful is executive control training? Age differences in near and far transfer of task-switching training. Developmental Science, 12, 978–990.
Kelly, A. M. and Garavan, H. (2005). Human functional neuroimaging of brain changes associated with practice. Cerebral Cortex, 15, 1089–1102.
Kheirbek, M. A. and Hen, R. (2013). (Radio)active neurogenesis in the human hippocampus. Cell, 153, 1183–1184.
et al. (2011). Learning new color names produces rapid increase in gray matter in the intact adult human cortex. Proceedings of the National Academy of Sciences of the United States of America, 108, 6686–6688.
Landi, S. M., Baguear, F. and Della-Maggiore, V. (2011). One week of motor adaptation induces structural changes in primary motor cortex that predict long-term memory one year later. Journal of Neuroscience, 31, 11808–11813.
et al. (2010). Experience-dependent plasticity of white-matter microstructure extends into old age. Neuropsychologia, 48, 3878–3883.
et al. (2012). Spatial navigation training protects the hippocampus against age-related changes during early and late adulthood. Neurobiology of Aging, 33, 620.e9–22.
Lövdén, M., Wenger, E., Martensson, J., Lindenberger, U. and Backman, L. (2013). Structural brain plasticity in adult learning and development. Neuroscience & Biobehavioral Reviews, 37, 2296–2310.
Madden, D. J.
et al. (2009). Cerebral white matter integrity mediates adult age differences in cognitive performance. Journal of Cognitive Neuroscience, 21, 289–302.
Madden, D. J., Bennett, I. J., Burzynska, A., Potter, G. G., Chen, N. K. and Song, A. W. (2012). Diffusion tensor imaging of cerebral white matter integrity in cognitive aging. Biochimica et Biophysica Acta, 1822, 386–400.
Maguire, E. A.
et al. (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences of the United States of America, 97, 4398–4403.
et al. (2012). Growth of language-related brain areas after foreign language learning. NeuroImage, 63, 240–244.
May, A. (2011). Experience-dependent structural plasticity in the adult human brain. Trends in Cognitive Sciences, 15, 475–482.
Mozolic, J. L., Hayasaka, S. and Laurienti, P. J. (2010). A cognitive training intervention increases resting cerebral blood flow in healthy older adults. Frontiers in Human Neuroscience, 4, 16.
Park, D. C. and Bischof, G. N. (2013). The aging mind: neuroplasticity in response to cognitive training. Dialogues in Clinical Neuroscience, 15, 109–119.
Park, D. C. and Reuter-Lorenz, P. (2009). The adaptive brain: aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196.
Pascual-Leone, A., Amedi, A., Fregni, F. and Merabet, L. B. (2005). The plastic human brain cortex. Annual Review of Neuroscience, 28, 377–401.
Pfefferbaum, A., Adalsteinsson, E. and Sullivan, E. V. (2003). Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain. Journal of Magnetic Resonance Imaging, 18, 427–433.
Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T. and Assaf, Y. (2012). Learning in the fast lane: new insights into neuroplasticity. Neuron, 73, 1195–1203.
Schmidt-Wilcke, T., Rosengarth, K., Luerding, R., Bogdahn, U. and Greenlee, M. W. (2010). Distinct patterns of functional and structural neuroplasticity associated with learning Morse code. NeuroImage, 51, 1234–1241.
Scholz, J., Klein, M. C., Behrens, T. E. and Johansen-Berg, H. (2009). Training induces changes in white-matter architecture. Nature Neuroscience, 12, 1370–1371.
Song, S. K.
et al. (2005). Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage, 26, 132–140.
Spalding, K. L.
et al. (2013). Dynamics of hippocampal neurogenesis in adult humans. Cell, 153, 1219–1227.
et al. (2010). Training of working memory impacts structural connectivity. Journal of Neuroscience, 30, 3297–3303.
et al. (2011a). Effects of training of processing speed on neural systems. Journal of Neuroscience, 31, 12139–12148.
et al. (2011b). Working memory training using mental calculation impacts regional gray matter of the frontal and parietal regions. PLoS One, 6, e23175.
Tang, Y. Y., Lu, Q., Geng, X., Stein, E. A., Yang, Y. and 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, 15649–15652.
Tang, Y. Y., Lu, Q., Fan, M., Yang, Y. and Posner, M. I. (2012). Mechanisms of white matter changes induced by meditation. Proceedings of the National Academy of Sciences of the United States of America, 109, 10570–10574.
et al. (2010). Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections. Journal of Neuroscience, 30, 11670–11677.
Thomas, C. and Baker, C. I. (2012). Remodeling human cortex through training: comment on May. Trends in Cognitive Science, 16, 96–97; author reply 97–98.
Thomas, C. and Baker, C. I. (2013). Teaching an adult brain new tricks: a critical review of evidence for training-dependent structural plasticity in humans. NeuroImage, 73, 225–236.
Thomas, A. G., Marrett, S., Saad, Z. S., Ruff, D. A., Martin, A. and Bandettini, P. A. (2009). Functional but not structural changes associated with learning: an exploration of longitudinal voxel-based morphometry (VBM). NeuroImage, 48, 117–125.
et al. (2010). Identical, but not the same: intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0T scanners. NeuroImage, 51, 1384–1394.
et al. (2008). Longitudinal MRI evaluations of human global cortical thickness over minutes to weeks. Neuroscience Letters, 441, 145–148.
Wang, J. Y., Abdi, H., Bakhadirov, K., Diaz-Arrastia, R. and Devous, M. D., Sr. (2012). A comprehensive reliability assessment of quantitative diffusion tensor tractography. NeuroImage, 60, 1127–1138.
et al. (2012). Cortical thickness changes following spatial navigation training in adulthood and aging. NeuroImage, 59, 3389–3397.
Wonderlick, J. S.
et al. (2009). Reliability of MRI-derived cortical and subcortical morphometric measures: effects of pulse sequence, voxel geometry, and parallel imaging. NeuroImage, 44, 1324–1333.
Woollett, K. and Maguire, E. A. (2011). Acquiring “the Knowledge” of London's layout drives structural brain changes. Current Biology, 21, 2109–2114.
et al. (2009). Rapid formation and selective stabilization of synapses for enduring motor memories. Nature, 462, 915–919.
Zatorre, R. J., Fields, R. D. and Johansen-Berg, H. (2012). Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nature Neuroscience, 15, 528–536.