Local striatal reward signals can be predicted from corticostriatal connectivity
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Local striatal reward signals can be predicted from corticostriatal connectivity. / Smittenaar, Peter; Kurth-Nelson, Zeb; Mohammadi, Siawoosh; Weiskopf, Nikolaus; Dolan, Raymond J.
In: NEUROIMAGE, Vol. 159, No. 159, 01.10.2017, p. 9-17.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Local striatal reward signals can be predicted from corticostriatal connectivity
AU - Smittenaar, Peter
AU - Kurth-Nelson, Zeb
AU - Mohammadi, Siawoosh
AU - Weiskopf, Nikolaus
AU - Dolan, Raymond J
N1 - Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - 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.
AB - 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.
KW - Journal Article
U2 - 10.1016/j.neuroimage.2017.07.042
DO - 10.1016/j.neuroimage.2017.07.042
M3 - SCORING: Journal article
C2 - 28736307
VL - 159
SP - 9
EP - 17
JO - NEUROIMAGE
JF - NEUROIMAGE
SN - 1053-8119
IS - 159
ER -