Experience-Dependent Plasticity in the Hippocampus

doi:10.1017/9781108695374.019

13 - Experience-Dependent Plasticity in the Hippocampus

from Part II - Applications

Published online by Cambridge University Press: 18 September 2020

Greg L. West and

Véronique D. Bohbot

Edited by

Laurence J. Kirmayer ,

Carol M. Worthman ,

Shinobu Kitayama ,

Robert Lemelson and

Constance A. Cummings

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Laurence J. Kirmayer: Affiliation:
McGill University, Montréal
Carol M. Worthman: Affiliation:
Emory University, Atlanta
Shinobu Kitayama: Affiliation:
University of Michigan, Ann Arbor
Robert Lemelson: Affiliation:
University of California, Los Angeles
Constance A. Cummings: Affiliation:
The Foundation for Psychocultural Research

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Summary

Life experiences have been associated with significant changes in brain structure and functioning. This experience-dependent plasticity is thought to reflect the capacity of our nervous systems to adapt to environmental demands, and ultimately shape cognition. This chapter focuses on how such experiences and environment can specifically impact the hippocampus, a structure important for learning, memory, and healthy cognition. The hippocampal memory system maintains a competitive relationship with other memory systems, in particular the caudate nucleus of the striatum, part of the basal ganglia. Specific types of behavior, such as spatial-based vs. response-based navigational strategies, can influence these memory systems both positively and negatively and lead to long-term neuroplastic changes. Overreliance on non-hippocampus dependent navigational strategies is associated with a reduction in hippocampus volume and activity across the lifespan. Emerging research is now pointing to the wide use of electronic devices – GPS, smartphones, and video games – as a contributing factor to greater reliance on non-hippocampus dependent memory. Given the limited, but concerning, evidence that reliance on electronic devices can interact with already established factors related to underuse of the hippocampal memory system, further study is needed to better understand how these imbalances occur and how they can be mitigated.

Keywords

hippocampus striatum plasticity cognitive training memory navigation stress aging genotyping video games

Type: Chapter
Information: Culture, Mind, and Brain
Emerging Concepts, Models, and Applications
, pp. 375 - 388

DOI: https://doi.org/10.1017/9781108695374.019 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2020

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References

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.15-05-03796.1995 Google 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.090186 Google 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.2011.09.007 Google 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.63.5.693 Google 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/h0081022 Google 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.2006.01.005 Google 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.22187 Google 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/10.1037/0894-4105.18.3.418 Google Scholar

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.1763-07.2007 Google 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.2012.00028 Google 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.0742-08.2008 Google 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.23-07-03001.2003 Google 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/10.1080/741941149 Google 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.2013.194 Google 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%3Apubmed Google 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.4628-05.2006 Google 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.10-11-03531.1990 Google 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.1015950108 Google Scholar

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.20303 Google 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.20948 Google 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.0010198 Google 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/nn958 Google 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/10.1038/6365 Google 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.96.9.5263 Google 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/774252 Google 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)00095-3 Google 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.2010.01.012 Google 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.23-13-05945.2003 Google 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)00377-6 Google 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.18-09-03206.1998 Google 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.21-14-05222.2001 Google 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.2016.00349 Google 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.2013.00001 Google 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.22181 Google 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.2013.100 Google 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.2013.120 Google 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/10.3109/13813458809079632 Google 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/10.1097/00001756-199805110-00076 Google 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%3Dihub Google 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.2010.09.086 Google 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/10.1038/271 Google 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/s11065-009-9119-9 Google 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.10087 Google 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/10.1037/0735-7044.107.1.3 Google 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.0048895 Google 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.09-05-01465.1989 Google 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/10.1037/0735-7044.106.3.439 Google 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.1996.0007 Google 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)12323-9 Google 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.2010.12.081 Google 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)00094-5 Google 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-X Google 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/s13195-018-0449-9 Google 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.26707 Google 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.22111 Google 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.2008.07.015 Google 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.435807 Google 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.2010.08.002 Google 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.480270103 Google 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.93.24.13515 Google 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/s11065-007-9035-9 Google 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.1011043107 Google 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-G Google 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.2017.155 Google 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.0187779 Google 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.2004.06.013 Google 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.2011.11.018 Google Scholar

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