Baseline frontostriatal-limbic connectivity predicts reward-based memory formation
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Baseline frontostriatal-limbic connectivity predicts reward-based memory formation. / Hamann, Janne M; Dayan, Eran; Hummel, Friedhelm C; Cohen, Leonardo G.
In: HUM BRAIN MAPP, Vol. 35, No. 12, 2014, p. 5921-31.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Baseline frontostriatal-limbic connectivity predicts reward-based memory formation
AU - Hamann, Janne M
AU - Dayan, Eran
AU - Hummel, Friedhelm C
AU - Cohen, Leonardo G
N1 - © 2014 Wiley Periodicals, Inc.
PY - 2014
Y1 - 2014
N2 - Reward mediates the acquisition and long-term retention of procedural skills in humans. Yet, learning under rewarded conditions is highly variable across individuals and the mechanisms that determine interindividual variability in rewarded learning are not known. We postulated that baseline functional connectivity in a large-scale frontostriatal-limbic network could predict subsequent interindividual variability in rewarded learning. Resting-state functional MRI was acquired in two groups of subjects (n = 30) who then trained on a visuomotor procedural learning task with or without reward feedback. We then tested whether baseline functional connectivity within the frontostriatal-limbic network predicted memory strength measured immediately, 24 h and 1 month after training in both groups. We found that connectivity in the frontostriatal-limbic network predicted interindividual variability in the rewarded but not in the unrewarded learning group. Prediction was strongest for long-term memory. Similar links between connectivity and reward-based memory were absent in two control networks, a fronto-parieto-temporal language network and the dorsal attention network. The results indicate that baseline functional connectivity within the frontostriatal-limbic network successfully predicts long-term retention of rewarded learning.
AB - Reward mediates the acquisition and long-term retention of procedural skills in humans. Yet, learning under rewarded conditions is highly variable across individuals and the mechanisms that determine interindividual variability in rewarded learning are not known. We postulated that baseline functional connectivity in a large-scale frontostriatal-limbic network could predict subsequent interindividual variability in rewarded learning. Resting-state functional MRI was acquired in two groups of subjects (n = 30) who then trained on a visuomotor procedural learning task with or without reward feedback. We then tested whether baseline functional connectivity within the frontostriatal-limbic network predicted memory strength measured immediately, 24 h and 1 month after training in both groups. We found that connectivity in the frontostriatal-limbic network predicted interindividual variability in the rewarded but not in the unrewarded learning group. Prediction was strongest for long-term memory. Similar links between connectivity and reward-based memory were absent in two control networks, a fronto-parieto-temporal language network and the dorsal attention network. The results indicate that baseline functional connectivity within the frontostriatal-limbic network successfully predicts long-term retention of rewarded learning.
U2 - 10.1002/hbm.22594
DO - 10.1002/hbm.22594
M3 - SCORING: Journal article
C2 - 25078102
VL - 35
SP - 5921
EP - 5931
JO - HUM BRAIN MAPP
JF - HUM BRAIN MAPP
SN - 1065-9471
IS - 12
ER -