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Neurogenetic phenotypes of learning-dependent plasticity for improved perceptual decisions.

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Peer-reviewed

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Abstract

Genetics and experience are known to mold our cognitive development. Yet, the interactions between genetics and brain mechanisms that support learning and flexible behavior in the adult human brain remain largely unknown. Here, we test the link between brain-wide gene expression and macroscopic neuroimaging phenotypes of brain plasticity that support our ability to improve perceptual decisions with training. We demonstrate that gene expression links to learning-dependent changes in spatial variations of cortical microstructure and functional connectivity in visual and fronto-parietal networks that are known to be involved in perceptual decisions. Further, we show that brain stimulation in visual cortex during training boosts learning and alters functional connections, rather than microstructure organization, within and between these networks. Our results reveal neurogenetic phenotypes of plasticity in perceptual decision networks, providing insights into the interplay of genetic expression and macroscopic mechanisms of structural and functional plasticity for learning and flexible behavior.

Description

Acknowledgements: This work was supported by grants to ZK from the Biotechnology and Biological Sciences Research Council (H012508, BB/P021255/1), the Wellcome Trust (205067/Z/16/Z; 223131/Z/21/Z), to Z.K. and B.B. from the Douglas Avrith University of Cambridge/Montreal Neurological Institute-Hospital Neuroscience Collaboration. For the purpose of open access, the author has applied for a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. We would like to thank the MR physics and radiographer teams at the Wolfson Brian Imaging Centre and the Cognition and Brain Sciences Unit for their support with data collection, Matthew Davis and Benedikt Zoefel for their guidance on setting up tDCS in the scanner, Martina Callaghan, Nikolaus Weiskopf and the Wellcome Centre for Human Neuroimaging for providing for support with the MPM sequences and analyses, and Lilia Kukovska and Vicki Hodgson for help with data collection. We would like to thank Dr. Austin Benn and Richard Dear for their valuable insights on genetic analysis and gradient analysis.

Journal Title

Commun Biol

Conference Name

Journal ISSN

2399-3642
2399-3642

Volume Title

8

Publisher

Springer Nature

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Except where otherwised noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
Sponsorship
Wellcome Trust (205067/Z/16/Z)
Wellcome Trust (223131/Z/21/Z)
Wellcome Trust (223131/Z/21/Z)
Biotechnology and Biological Sciences Research Council (BB/P021255/1)
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (NRF-CLIC)
the Biotechnology and Biological Sciences Research Council Douglas Avrith University of Cambridge/Montreal Neurological Institute-Hospital Neuroscience Collaboration