Whole-brain dynamics of human sensorimotor adaptation. Standage, D. I., Areshenkoff, C. N., Gale, D. J., Nashed, J. Y., Flanagan, J. R., & Gallivan, J. P. Technical Report bioRxiv, April, 2022. Section: New Results Type: article
Whole-brain dynamics of human sensorimotor adaptation [link]Paper  doi  abstract   bibtex   
Humans vary greatly in their motor learning abilities, yet little is known about the neural processes that underlie this variability. We identified distinct profiles of human sensorimotor adaptation that emerged across two days of learning, linking these profiles to the dynamics of whole-brain functional networks early on the first day, when cognitive strategies toward sensorimotor adaptation are believed to be most prominent. During early learning, greater recruitment of a network of higher-order brain regions, involving prefrontal and anterior temporal cortex, was associated with faster learning. At the same time, greater integration of this ‘cognitive network’ with a sensorimotor network was associated with slower learning, consistent with the notion that cognitive strategies toward adaptation operate in parallel with implicit learning processes of the sensorimotor system. On the second day, greater recruitment of a network that included the hippocampus was associated with faster re-learning, consistent with the notion that savings involves declarative memory systems. Together, these findings provide novel evidence for the role of higher-order brain systems in driving individual differences in adaptation.
@techreport{standage_whole-brain_2022,
	title = {Whole-brain dynamics of human sensorimotor adaptation},
	copyright = {© 2022, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution-NonCommercial-NoDerivs 4.0 International), CC BY-NC-ND 4.0, as described at http://creativecommons.org/licenses/by-nc-nd/4.0/},
	url = {https://www.biorxiv.org/content/10.1101/2020.11.27.401679v3},
	doi = {10.1101/2020.11.27.401679},
	abstract = {Humans vary greatly in their motor learning abilities, yet little is known about the neural processes that underlie this variability. We identified distinct profiles of human sensorimotor adaptation that emerged across two days of learning, linking these profiles to the dynamics of whole-brain functional networks early on the first day, when cognitive strategies toward sensorimotor adaptation are believed to be most prominent. During early learning, greater recruitment of a network of higher-order brain regions, involving prefrontal and anterior temporal cortex, was associated with faster learning. At the same time, greater integration of this ‘cognitive network’ with a sensorimotor network was associated with slower learning, consistent with the notion that cognitive strategies toward adaptation operate in parallel with implicit learning processes of the sensorimotor system. On the second day, greater recruitment of a network that included the hippocampus was associated with faster re-learning, consistent with the notion that savings involves declarative memory systems. Together, these findings provide novel evidence for the role of higher-order brain systems in driving individual differences in adaptation.},
	language = {en},
	urldate = {2022-04-30},
	institution = {bioRxiv},
	author = {Standage, Dominic I. and Areshenkoff, Corson N. and Gale, Daniel J. and Nashed, Joseph Y. and Flanagan, J. Randall and Gallivan, Jason P.},
	month = apr,
	year = {2022},
	note = {Section: New Results
Type: article},
	pages = {2020.11.27.401679},
}

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