Title |
Off-line consolidation of motor sequence learning results in greater integration within a cortico-striatal functional network
|
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Published in |
NeuroImage, May 2014
|
DOI | 10.1016/j.neuroimage.2014.05.022 |
Pubmed ID | |
Authors |
Karen Debas, Julie Carrier, Marc Barakat, Guillaume Marrelec, Pierre Bellec, Abdallah Hadj Tahar, Avi Karni, Leslie G. Ungerleider, Habib Benali, Julien Doyon |
Abstract |
The consolidation of motor sequence learning is known to depend on sleep. Work in our laboratory and others have shown that the striatum is associated with this off-line consolidation process. In this study, we aimed to quantify the sleep-dependent dynamic changes occurring at the network level using a measure of functional integration. We directly compared changes in connectivity before and after sleep or the simple passage of daytime. As predicted, the results revealed greater integration within the cortico-striatal network after sleep, but not an equivalent daytime period. Importantly, a similar pattern of results was also observed using a data-driven approach; the increase in integration being specific to a cortico-striatal network, but not to other known functional networks. These findings reveal, for the first time, a new signature of motor sequence consolidation: a greater between-regions interaction within the cortico-striatal system. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Argentina | 1 | 8% |
United States | 1 | 8% |
Italy | 1 | 8% |
Greece | 1 | 8% |
France | 1 | 8% |
Canada | 1 | 8% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 3 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
France | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 163 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 35 | 21% |
Student > Ph. D. Student | 34 | 20% |
Student > Master | 18 | 11% |
Student > Bachelor | 11 | 7% |
Student > Doctoral Student | 9 | 5% |
Other | 28 | 17% |
Unknown | 32 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 41 | 25% |
Psychology | 32 | 19% |
Agricultural and Biological Sciences | 14 | 8% |
Medicine and Dentistry | 14 | 8% |
Computer Science | 7 | 4% |
Other | 19 | 11% |
Unknown | 40 | 24% |