Title |
A resting state network in the motor control circuit of the basal ganglia
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Published in |
BMC Neuroscience, November 2009
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DOI | 10.1186/1471-2202-10-137 |
Pubmed ID | |
Authors |
Simon Robinson, Gianpaolo Basso, Nicola Soldati, Uta Sailer, Jorge Jovicich, Lorenzo Bruzzone, Ilse Kryspin-Exner, Herbert Bauer, Ewald Moser |
Abstract |
In the absence of overt stimuli, the brain shows correlated fluctuations in functionally related brain regions. Approximately ten largely independent resting state networks (RSNs) showing this behaviour have been documented to date. Recent studies have reported the existence of an RSN in the basal ganglia - albeit inconsistently and without the means to interpret its function. Using two large study groups with different resting state conditions and MR protocols, the reproducibility of the network across subjects, behavioural conditions and acquisition parameters is assessed. Independent Component Analysis (ICA), combined with novel analyses of temporal features, is applied to establish the basis of signal fluctuations in the network and its relation to other RSNs. Reference to prior probabilistic diffusion tractography work is used to identify the basal ganglia circuit to which these fluctuations correspond. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 2% |
United States | 4 | 2% |
Germany | 3 | 1% |
Japan | 2 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
India | 1 | <1% |
Netherlands | 1 | <1% |
Romania | 1 | <1% |
Other | 3 | 1% |
Unknown | 198 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 65 | 30% |
Researcher | 39 | 18% |
Student > Master | 22 | 10% |
Professor > Associate Professor | 17 | 8% |
Student > Doctoral Student | 15 | 7% |
Other | 40 | 18% |
Unknown | 21 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 54 | 25% |
Psychology | 43 | 20% |
Neuroscience | 30 | 14% |
Agricultural and Biological Sciences | 22 | 10% |
Engineering | 17 | 8% |
Other | 15 | 7% |
Unknown | 38 | 17% |