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Journal Article

Local striatal reward signals can be predicted from corticostriatal connectivity

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Weiskopf,  Nikolaus
Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom;
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Smittenaar_Kurth-Nelson_2017.pdf
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Citation

Smittenaar, P., Kurth-Nelson, Z., Mohammadi, S., Weiskopf, N., & Dolan, R. J. (2017). Local striatal reward signals can be predicted from corticostriatal connectivity. NeuroImage, 159, 9-17. doi:10.1016/j.neuroimage.2017.07.042.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002E-3359-8
Abstract
A defining feature of the basal ganglia is their anatomical organization into multiple cortico-striatal loops. A central tenet of this architecture is the idea that local striatal function is determined by its precise connectivity with cortex, creating a functional topography that is mirrored within cortex and striatum. Here we formally test this idea using both human anatomical and functional imaging, specifically asking whether within striatal subregions one can predict between-voxel differences in functional signals based on between-voxel differences in corticostriatal connectivity. We show that corticostriatal connectivity profiles predict local variation in reward signals in bilateral caudate nucleus and putamen, expected value signals in bilateral caudate nucleus, and response effector activity in bilateral putamen. These data reveal that, even within individual striatal regions, local variability in corticostriatal anatomical connectivity predicts functional differentiation.