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Changes in cortical microstructure of the human brain resulting from long-term motor learning

MPG-Autoren
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Lehmann,  Nico       
Department of Sport Science, Faculty of Human Sciences, Otto von Guericke University Magdeburg, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Zitation

Lehmann, N., Aye, N., Kaufmann, J., Heinze, H.-J., Düzel, E., Ziegler, G., et al. (2023). Changes in cortical microstructure of the human brain resulting from long-term motor learning. The Journal of Neuroscience, 43(50), 8637-8648. doi:10.1523/JNEUROSCI.0537-23.2023.


Zitierlink: https://hdl.handle.net/21.11116/0000-000D-DA21-8
Zusammenfassung
The mechanisms subserving motor skill acquisition and learning in the intact human brain are not fully understood. Previous studies in animals have demonstrated a causal relationship between motor learning and structural rearrangements of synaptic connections, raising the question of whether neurite-specific changes are also observable in humans. Here, we use advanced diffusion magnetic resonance imaging (MRI), sensitive to dendritic and axonal processes, to investigate neuroplasticity in response to long-term motor learning. We recruited healthy male and female human participants (age range 19-29) who learned a challenging dynamic balancing task over four consecutive weeks. Diffusion MRI signals were fitted using NODDI, a theory-driven biophysical model of diffusion, yielding measures of tissue volume, neurite density and the organizational complexity of neurites. While NODDI indices were unchanged and reliable during the control period, neurite orientation dispersion increased significantly during the learning period mainly in primary sensorimotor, prefrontal, premotor, supplementary and cingulate motor areas. Importantly, reorganization of cortical microstructure during the learning phase predicted concurrent behavioral changes, whereas there was no relationship between microstructural changes during the control phase and learning. Changes in neurite complexity were independent of alterations in tissue density, cortical thickness, and intracortical myelin. Our results are in line with the notion that structural modulation of neurites is a key mechanism supporting complex motor learning in humans.