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Articles

Increased Cerebellar Gray Matter Volume in Athletes: A Voxel-Wise Coordinate-Based Meta-Analysis

Pages 597-608 | Received 03 Aug 2021, Accepted 04 Jan 2022, Published online: 19 Apr 2022

References

  • Albajes-Eizagirre, A., Solanes, A., Fullana, M. A., Ioannidis, J. P. A., Fusar-Poli, P., Torrent, C., Solé, B., Bonnín, C. M., Vieta, E., Mataix-Cols, D., & Radua, J. (2019). Meta-analysis of voxel-based neuroimaging studies using seed-based d mapping with permutation of subject images (SDM-PSI). Journal of Visualized Experiments: JoVE. https://doi.org/10.3791/59841
  • Albajes-Eizagirre, A., Solanes, A., Vieta, E., & Radua, J. (2019). Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM. Neuroimage, 186, 174–184. https://doi.org/10.1016/j.neuroimage.2018.10.077
  • Araujo, C. G., & Scharhag, J. (2016). Athlete: A working definition for medical and health sciences research. Scandinavian Journal of Medicine & Science in Sports, 26(1), 4–7. https://doi.org/10.1111/sms.12632
  • Ardila, A., Bernal, B., & Rosselli, M. (2015). Language and visual perception associations: Meta-analytic connectivity modeling of Brodmann area 37. Behavioural Neurology, 2015, Article 565871. https://doi.org/10.1155/2015/565871
  • Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry–the methods. Neuroimage, 11(6), 805–821. https://doi.org/10.1006/nimg.2000.0582
  • Atkinson, G., Davison, R. C. R., & Nevill, A. M. (2005). Performance characteristics of gas analysis systems: What we know and what we need to know. International Journal of Sports Medicine, 26(S1), S2–S10. https://doi.org/10.1055/s-2004-830505
  • Banissy, M. J., & Muggleton, N. G. (2013). Transcranial direct current stimulation in sports training: Potential approaches. Frontiers in Human Neuroscience, 7, Article 129. https://doi.org/10.3389/fnhum.2013.00129
  • Bastian, A. J. (2006). Learning to predict the future: The cerebellum adapts feedforward movement control. Current Opinion in Neurobiology, 16(6), 645–649. https://doi.org/10.1016/j.conb.2006.08.016
  • Bhabhor, M. K., Vidja, K., Bhanderi, P., Dodhia, S., Kathrotia, R., & Joshi, V. (2013). A comparative study of visual reaction time in table tennis players and healthy controls. Indian Journal of Physiology and Pharmacology, 57(4), 439–442. https://doi.org/10.5958/2394-2126.2016.00093.1
  • Boillat, Y., Bazin, P. L., & van der Zwaag, W. (2020). Whole-body somatotopic maps in the cerebellum revealed with 7T fMRI. Neuroimage, 211, Article 116624. https://doi.org/10.1016/j.neuroimage.2020.116624
  • Cao, L., Zhang, Y., Huang, R., Li, L., Xia, F., Zou, L., Yu, Q., Lin, J., Herold, F., Perrey, S., Mueller, P., Dordevic, M., Loprinzi, P. D., Wang, Y., Ma, Y., Zeng, H., Qu, S., Wu, J., & Ren, Z. (2021). Structural and functional brain signatures of endurance runners. Brain Structure and Function, 226(1), 93–103. https://doi.org/10.1007/s00429-020-02170-y
  • Chang, C. Y., Chen, Y. H., & Yen, N. S. (2018). Nonlinear neuroplasticity corresponding to sports experience: A voxel-based morphometry and resting-state functional connectivity study. Human Brain Mapping, 39(11), 4393–4403. https://doi.org/10.1002/hbm.24280
  • Chang, Y., Lee, -J.-J., Seo, J.-H., Song, H.-J., Kim, Y.-T., Lee, H. J., Kim, H. J., Lee, J., Kim, W., Woo, M., & Kim, J. G. (2011). Neural correlates of motor imagery for elite archers. NMR in Biomedicine, 24(4), 366–372. https://doi.org/10.1002/nbm.1600
  • Charles, S. K., Okamura, A. M., & Bastian, A. J. (2013). Does a basic deficit in force control underlie cerebellar ataxia? Journal of Neurophysiology, 109(4), 1107–1116. https://doi.org/10.1152/jn.00152.2012
  • Churchill, N., Hutchison, M., Richards, D., Leung, G., Graham, S., & Schweizer, T. A. (2017). Brain structure and function associated with a history of sport concussion: A multi-modal magnetic resonance imaging study. Journal of Neurotrauma, 34(4), 765–771. https://doi.org/10.1089/neu.2016.4531
  • Daskalakis, Z. J., Paradiso, G. O., Christensen, B. K., Fitzgerald, P. B., Gunraj, C., & Chen, R. (2004). Exploring the connectivity between the cerebellum and motor cortex in humans. The Journal of Physiology, 557(2), 689–700. https://doi.org/10.1113/jphysiol.2003.059808
  • Delano-Wood, L., Stricker, N. H., Sorg, S. F., Nation, D. A., Jak, A. J., Woods, S. P., Libon, D. J., Delis, D. C., Frank, L. R., & Bondi, M. W. (2012). Posterior cingulum white matter disruption and its associations with verbal memory and stroke risk in mild cognitive impairment. Journal of Alzheimer’s Disease: JAD, 29(3), 589–603. https://doi.org/10.3233/JAD-2012-102103
  • Desmurget, M., & Grafton, S. (2000). Forward modeling allows feedback control for fast reaching movements. Trends in Cognitive Sciences, 4(11), 423–431. https://doi.org/10.1016/S1364-6613(00)01537-0
  • Di Paola, M., Caltagirone, C., & Petrosini, L. (2013). Prolonged rock climbing activity induces structural changes in cerebellum and parietal lobe. Human Brain Mapping, 34(10), 2707–2714. https://doi.org/10.1002/hbm.22095
  • Di, X., Zhu, S., Jin, H., Wang, P., Ye, Z., Zhou, K., Zhuo, Y., & Rao, H. (2012). Altered resting brain function and structure in professional badminton players. Brain Connectivity, 2(4), 225–233. https://doi.org/10.1089/brain.2011.0050
  • Dordevic, M., Schrader, R., Taubert, M., Müller, P., Hökelmann, A., & Müller, N. G. (2018). Vestibulo-hippocampal function is enhanced and brain structure altered in professional ballet dancers. Frontiers in Integrative Neuroscience, 12, Article 50. https://doi.org/10.3389/fnint.2018.00050
  • Doyon, J., Penhune, V., & Ungerleider, L. G. (2003). Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning. Neuropsychologia, 41(3), 252–262. https://doi.org/10.1016/S0028-3932(02)00158-6
  • Duru, A. D., & Balcioglu, T. H. (2018). Functional and structural plasticity of brain in elite karate athletes. Journal of Healthcare Engineering, 2018, Article 8310975. https://doi.org/10.1155/2018/8310975
  • Fregni, F., El-Hagrassy, M. M., Pacheco-Barrios, K., Carvalho, S., Leite, J., Simis, M., Brunelin, J., Nakamura-Palacios, E. M., Marangolo, P., Venkatasubramanian, G., San-Juan, D., Caumo, W., Bikson, M., & Brunoni, A. R. (2021). Evidence-based guidelines and secondary meta-analysis for the use of transcranial direct current stimulation in neurological and psychiatric disorders. International Journal of Neuropsychopharmacology, 24(4), 256–313. https://doi.org/10.1093/ijnp/pyaa051
  • Gao, Y., Chen, L., Yang, S.-N., Wang, H., Yao, J., Dai, Q., & Chang, S. (2015). Contributions of visuo-oculomotor abilities to interceptive skills in sports. Optometry and Vision Science: Official Publication of the American Academy of Optometry, 92(6), 679–689. https://doi.org/10.1097/OPX.0000000000000599
  • Grodd, W., Hülsmann, E., Lotze, M., Wildgruber, D., & Erb, M. (2001). Sensorimotor mapping of the human cerebellum: FMRI evidence of somatotopic organization. Human Brain Mapping, 13(2), 55–73. https://doi.org/10.1002/hbm.1025
  • Grospretre, S., Grandperrin, Y., Nicolier, M., Gimenez, P., Vidal, C., Tio, G., Haffen, E., & Bennabi, D. (2021). Effect of transcranial direct current stimulation on the psychomotor, cognitive, and motor performances of power athletes. Scientific Reports, 11(1), Article 9731. https://doi.org/10.1038/s41598-021-89159-7
  • Gu, Q., Zou, L., Loprinzi, P. D., Quan, M., & Huang, T. (2019). Effects of open versus closed skill exercise on cognitive function: A systematic review. Frontiers in Psychology, 10, Article 1707. https://doi.org/10.3389/fpsyg.2019.01707
  • Han, Q., Hou, Y., & Shang, H. (2018). A voxel-wise meta-analysis of gray matter abnormalities in essential tremor. Frontiers in Neurology, 9, Article 495. https://doi.org/10.3389/fneur.2018.00495
  • Han, Y., Yang, H., Lv, Y.-T., Zhu, C.-Z., He, Y., Tang, -H.-H., Gong, Q.-Y., Luo, Y.-J., Zang, Y.-F., & Dong, Q. (2009). Gray matter density and white matter integrity in pianists’ brain: A combined structural and diffusion tensor MRI study. Neuroscience Letters, 459(1), 3–6. https://doi.org/10.1016/j.neulet.2008.07.056
  • Hänggi, J., Koeneke, S., Bezzola, L., & Jäncke, L. (2010). Structural neuroplasticity in the sensorimotor network of professional female ballet dancers. Human Brain Mapping, 31(8), 1196–1206. https://doi.org/10.1002/hbm.20928
  • Hänggi, J., Langer, N., Lutz, K., Birrer, K., Mérillat, S., & Jäncke, L. (2015). Structural brain correlates associated with professional handball playing. PLoS One, 10(4), e0124222. https://doi.org/10.1371/journal.pone.0124222
  • Hijazi, M. M. (2013). Attention, visual perception and their relationship to sport performance in fencing. Journal of Human Kinetics, 39(1), 195–201. https://doi.org/10.2478/hukin-2013-0082
  • Holgado, D., Vadillo, M. A., & Sanabria, D. (2019). The effects of transcranial direct current stimulation on objective and subjective indexes of exercise performance: A systematic review and meta-analysis. Brain Stimulation, 12(2), 242–250. https://doi.org/10.1016/j.brs.2018.12.002
  • Huang, R., Lu, M., Song, Z., & Wang, J. (2015). Long-term intensive training induced brain structural changes in world class gymnasts. Brain Structure & Function, 220(2), 625–644. https://doi.org/10.1007/s00429-013-0677-5
  • Hull, C. (2020). Prediction signals in the cerebellum: Beyond supervised motor learning. Elife, 9, e54073. https://doi.org/10.7554/eLife.54073
  • Hulsdunker, T., Ostermann, M., & Mierau, A. (2019). The speed of neural visual motion perception and processing determines the visuomotor reaction time of young elite table tennis athletes. Frontiers in Behavioral Neuroscience, 13, Article 165. https://doi.org/10.3389/fnbeh.2019.00165
  • Hulsdunker, T., Struder, H. K., & Mierau, A. (2018). The athletes’ visuomotor system - cortical processes contributing to faster visuomotor reactions. European Journal of Sport Science, 18(7), 955–964. https://doi.org/10.1080/17461391.2018.1468484
  • Jancke, L., Koeneke, S., Hoppe, A., Rominger, C., & Hänggi, J. (2009). The architecture of the golfer’s brain. PLoS One, 4(3), e4785. https://doi.org/10.1371/journal.pone.0004785
  • Kamali, A. M., Saadi, Z. K., Yahyavi, -S.-S., Zarifkar, A., Aligholi, H., & Nami, M. (2019). Transcranial direct current stimulation to enhance athletic performance outcome in experienced bodybuilders. PLoS One, 14(8), e0220363. https://doi.org/10.1371/journal.pone.0220363
  • Kim, W., Chang, Y., Kim, J., Seo, J., Ryu, K., Lee, E., Woo, M., & Janelle, C. M. (2014). An fMRI study of differences in brain activity among elite, expert, and novice archers at the moment of optimal aiming. Cognitive and Behavioral Neurology, 27(4), 173–182. https://doi.org/10.1097/WNN.0000000000000042
  • Koch, P., & Krenn, B. (2021). Executive functions in elite athletes-comparing open-skill and closed-skill sports and considering the role of athletes’ past involvement in both sport categories. Psychology of Sport and Exercise, 55, Article 101925. https://doi.org/10.1016/j.psychsport.2021.101925
  • Lee, J. H., Lee, T. L., & Kang, N. (2021). Transcranial direct current stimulation decreased cognition-related reaction time in older adults: A systematic review and meta-analysis. Ageing Research Reviews, 70, Article 101377. https://doi.org/10.1016/j.arr.2021.101377
  • Lin, J., Xu, X., Hou, Y., Yang, J., & Shang, H. (2020). Voxel-based meta-analysis of gray matter abnormalities in multiple system atrophy. Frontiers in Aging Neuroscience, 12, Article 591666. https://doi.org/10.3389/fnagi.2020.591666
  • Liu, X., Liu, L., Hou, F., Zhou, Z., Wu, Q., & Li, H. (2017). Altered gray matter volume and functional connectivity of the motor network in young divers. Journal of X-Ray Science and Technology, 25(4), 701–710. https://doi.org/10.3233/XST-17305
  • Lorenz, D. S., Reiman, M. P., Lehecka, B. J., & Naylor, A. (2013). What performance characteristics determine elite versus nonelite athletes in the same sport? Sports Health: A Multidisciplinary Approach, 5(6), 542–547. https://doi.org/10.1177/1941738113479763
  • Machado, D. G. d. S., Unal, G., Andrade, S. M., Moreira, A., Altimari, L. R., Brunoni, A. R., Perrey, S., Mauger, A. R., Bikson, M., & Okano, A. H. (2019). Effect of transcranial direct current stimulation on exercise performance: A systematic review and meta-analysis. Brain Stimulation, 12(3), 593–605. https://doi.org/10.1016/j.brs.2018.12.227
  • Mai, N., Bolsinger, P., Avarello, M., Diener, H.-C., & Dichgans, J. (1988). Control of isometric finger force in patients with cerebellar disease. Brain, 111(Pt. 5), 973–998. https://doi.org/10.1093/brain/111.5.973
  • Manto, M. (2009). Mechanisms of human cerebellar dysmetria: Experimental evidence and current conceptual bases. Journal of NeuroEngineering and Rehabilitation, 6(1), Article 10. https://doi.org/10.1186/1743-0003-6-10
  • Marcori, A. J., & Okazaki, V. H. A. (2019). Motor repertoire and gray matter plasticity: Is there a link? Medical Hypotheses, 130, Article 109261. https://doi.org/10.1016/j.mehy.2019.109261
  • Marr, D. (1969). A theory of cerebellar cortex. The Journal of Physiology, 202(2), 437–470. https://doi.org/10.1113/jphysiol.1969.sp008820
  • Metzler-Baddeley, C., Jones, D. K., Steventon, J., Westacott, L., Aggleton, J. P., & O'Sullivan, M. J. (2012). Cingulum microstructure predicts cognitive control in older age and mild cognitive impairment. Journal of Neuroscience, 32(49), 17612–17619. https://doi.org/10.1523/JNEUROSCI.3299-12.2012
  • Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Journal of Clinical Epidemiology, 62(10), 1006–1012. https://doi.org/10.1016/j.jclinepi.2009.06.005
  • Morton, S. M., & Bastian, A. J. (2004). Cerebellar control of balance and locomotion. The Neuroscientist, 10(3), 247–259. https://doi.org/10.1177/1073858404263517
  • Morya, E., Monte-Silva, K., Bikson, M., Esmaeilpour, Z., Biazoli, C. E., Fonseca, A., Bocci, T., Farzan, F., Chatterjee, R., Hausdorff, J. M., Da Silva Machado, D. G., Brunoni, A. R., Mezger, E., Moscaleski, L. A., Pegado, R., Sato, J. R., Caetano, M. S., Sá, K. N., Tanaka, C., … Okano, A. H. (2019). Beyond the target area: An integrative view of tDCS-induced motor cortex modulation in patients and athletes. Journal of Neuroengineering and Rehabilitation, 16(1), Article 141. https://doi.org/10.1186/s12984-019-0581-1
  • Mosconi, M. W., Mohanty, S., Greene, R. K., Cook, E. H., Vaillancourt, D. E., & Sweeney, J. A. (2015). Feedforward and feedback motor control abnormalities implicate cerebellar dysfunctions in autism spectrum disorder. Journal of Neuroscience, 35(5), 2015–2025. https://doi.org/10.1523/JNEUROSCI.2731-14.2015
  • Nakata, H., Yoshie, M., Miura, A., & Kudo, K. (2010). Characteristics of the athletes’ brain: Evidence from neurophysiology and neuroimaging. Brain Research Reviews, 62(2), 197–211. https://doi.org/10.1016/j.brainresrev.2009.11.006
  • Neely, K. A., Coombes, S. A., Planetta, P. J., & Vaillancourt, D. E. (2013). Segregated and overlapping neural circuits exist for the production of static and dynamic precision grip force. Human Brain Mapping, 34(3), 698–712. https://doi.org/10.1002/hbm.21467
  • Nowak, D. A., Hermsdörfer, J., Rost, K., Timmann, D., & Topka, H. (2004). Predictive and reactive finger force control during catching in cerebellar degeneration. The Cerebellum, 3(4), 227–235. https://doi.org/10.1080/14734220410019057
  • Palejwala, A. H., O’Connor, K. P., Milton, C. K., Anderson, C., Pelargos, P., Briggs, R. G., Conner, A. K., O’Donoghue, D. L., Glenn, C. A., & Sughrue, M. E. (2020). Anatomy and white matter connections of the fusiform gyrus. Scientific Reports, 10(1), Article 13489. https://doi.org/10.1038/s41598-020-70410-6
  • Park, I. S., Lee, N. J., Kim, T.-Y., Park, J.-H., Won, Y.-M., Jung, Y.-J., Yoon, J.-H., & Rhyu, I. J. (2012). Volumetric analysis of cerebellum in short-track speed skating players. Cerebellum, 11(4), 925–930. https://doi.org/10.1007/s12311-012-0366-6
  • Park, I. S., Lee, Y. N., Kwon, S., Lee, N. J., & Rhyu, I. J. (2015). White matter plasticity in the cerebellum of elite basketball athletes. Anatomy & Cell Biology, 48(4), 262–267. https://doi.org/10.5115/acb.2015.48.4.262
  • Pi, Y.-L., Wu, X.-H., Wang, F.-J., Liu, K., Wu, Y., Zhu, H., & Zhang, J. (2019). Motor skill learning induces brain network plasticity: A diffusion-tensor imaging study. PLoS One, 14(2), e0210015. https://doi.org/10.1371/journal.pone.0210015
  • Poltavski, D., & Biberdorf, D. (2015). The role of visual perception measures used in sports vision programmes in predicting actual game performance in Division I collegiate hockey players. Journal of Sports Sciences, 33(6), 597–608. https://doi.org/10.1080/02640414.2014.951952
  • Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012). A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. European Psychiatry, 27(8), 605–611. https://doi.org/10.1016/j.eurpsy.2011.04.001
  • Roiser, J. P., Linden, D. E., Gorno-Tempini, M. L., Moran, R. J., Dickerson, B. C., & Grafton, S. T. (2016). Minimum statistical standards for submissions to Neuroimage: Clinical. NeuroImage: Clinical, 12, 1045–1047. https://doi.org/10.1016/j.nicl.2016.08.002
  • Schlaffke, L., Lissek, S., Lenz, M., Brüne, M., Juckel, G., Hinrichs, T., Platen, P., Tegenthoff, M., & Schmidt-Wilcke, T. (2014). Sports and brain morphology - a voxel-based morphometry study with endurance athletes and martial artists. Neuroscience, 259, 35–42. https://doi.org/10.1016/j.neuroscience.2013.11.046
  • Seidel-Marzi, O., & Ragert, P. (2020). Neurodiagnostics in sports: Investigating the athlete’s brain to augment performance and sport-specific skills. Frontiers in Human Neuroscience, 14, Article 133. https://doi.org/10.3389/fnhum.2020.00133
  • Shao, M., Lin, H., Yin, D., Li, Y., Wang, Y., Ma, J., Yin, J., & Jin, H. (2019). Learning to play badminton altered resting-state activity and functional connectivity of the cerebellar sub-regions in adults. PLoS One, 14(10), e0223234. https://doi.org/10.1371/journal.pone.0223234
  • Sheng, L., Zhao, P., Ma, H., Radua, J., Yi, Z., Shi, Y., Zhong, J., Dai, Z., & Pan, P. (2021). Cortical thickness in Parkinson’s disease: A coordinate-based meta-analysis. Aging (Albany NY), 13(3), 4007–4023. https://doi.org/10.18632/aging.202368
  • Shyamali Kaushalya, F., Romero-Arenas, S., García-Ramos, A., Colomer-Poveda, D., & Marquez, G. (2022). Acute effects of transcranial direct current stimulation on cycling and running performance. a systematic review and meta-analysis. European Journal of Sport Science, 22(2), 113–125. https://doi.org/10.1080/17461391.2020.1856933
  • Soderstrom, N. C., & Bjork, R. A. (2015). Learning versus performance: An integrative review. Perspectives on Psychological Science, 10(2), 176–199. https://doi.org/10.1177/1745691615569000
  • Tan, X. Y., Pi, Y.-L., Wang, J., Li, X.-P., Zhang, -L.-L., Dai, W., Zhu, H., Ni, Z., Zhang, J., & Wu, Y. (2017). Morphological and functional differences between athletes and novices in cortical neuronal networks. Frontiers in Human Neuroscience, 10, Article 660. https://doi.org/10.3389/fnhum.2016.00660
  • Taubert, M., Wenzel, U., Draganski, B., Kiebel, S. J., Ragert, P., Krug, J., & Villringer, A. (2015). Investigating neuroanatomical features in top athletes at the single subject level. PLoS One, 10(6), e0129508. https://doi.org/10.1371/journal.pone.0129508
  • Taylor, J. A., Klemfuss, N. M., & Ivry, R. B. (2010). An explicit strategy prevails when the cerebellum fails to compute movement errors. The Cerebellum, 9(4), 580–586. https://doi.org/10.1007/s12311-010-0201-x
  • Timmann, D., Brandauer, B., Hermsdörfer, J., Ilg, W., Konczak, J., Gerwig, M., Gizewski, E. R., & Schoch, B. (2008). Lesion-symptom mapping of the human cerebellum. The Cerebellum, 7(4), 602–606. https://doi.org/10.1007/s12311-008-0066-4
  • Vaillancourt, D. E., Mayka, M. A., & Corcos, D. M. (2006). Intermittent visuomotor processing in the human cerebellum, parietal cortex, and premotor cortex. Frontiers in Human Neuroscience, 95(2), 922–931. https://doi.org/10.1152/jn.00718.2005
  • Vaillancourt, D. E., Thulborn, K. R., & Corcos, D. M. (2003). Neural basis for the processes that underlie visually guided and internally guided force control in humans. Journal of Neurophysiology, 90(5), 3330–3340. https://doi.org/10.1152/jn.00394.2003
  • Vera, J., Jiménez, R., Cárdenas, D., Redondo, B., & García, J. A. (2020). Visual function, performance, and processing of basketball players vs. sedentary individuals. The Cerebellum, 9(6), 587–594. https://doi.org/10.1016/j.jshs.2017.05.001
  • Wang, C. H., Chang, C.-C., Liang, Y.-M., Shih, C.-M., Chiu, W.-S., Tseng, P., Hung, D. L., Tzeng, O. J. L., Muggleton, N. G., & Juan, C.-H. (2013). Open vs. closed skill sports and the modulation of inhibitory control. PLos One, 8(2), e55773. https://doi.org/10.1371/journal.pone.0055773
  • Wei, G., Zhang, Y., Jiang, T., & Luo, J. (2011). Increased cortical thickness in sports experts: A comparison of diving players with the controls. PLos One, 6(2), e17112. https://doi.org/10.1371/journal.pone.0017112
  • Wenzel, U., Taubert, M., Ragert, P., Krug, J., & Villringer, A. (2014). Functional and structural correlates of motor speed in the cerebellar anterior lobe. PLos One, 9(5), e96871. https://doi.org/10.1371/journal.pone.0096871
  • Wood, K. N., Nikolov, R., & Shoemaker, J. K. (2016). Impact of long-term endurance training vs. guideline-based physical activity on brain structure in healthy aging. Frontiers in Aging Neuroscience, 8, Article 155. https://doi.org/10.3389/fnagi.2016.00155
  • Yang, C., Chang, J., Liang, X., Bao, X., & Wang, R. (2020). Gray matter alterations in Parkinson’s disease with rapid eye movement Sleep behavior disorder: A meta-analysis of voxel-based morphometry studies. Frontiers in Aging Neuroscience, 12, Article 213. https://doi.org/10.3389/fnagi.2020.00213
  • Yarrow, K., Brown, P., & Krakauer, J. W. (2009). Inside the brain of an elite athlete: The neural processes that support high achievement in sports. Nature Reviews Neuroscience, 10(8), 585–596. https://doi.org/10.1038/nrn2672
  • Zhang, K., Liu, Y., Liu, J., Liu, R., & Cao, C. (2021). Detecting structural and functional neuroplasticity in elite ice-skating athletes. Human Movement Science, 78, Article 102795. https://doi.org/10.1016/j.humov.2021.102795

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