Title |
Controllability of structural brain networks
|
---|---|
Published in |
Nature Communications, October 2015
|
DOI | 10.1038/ncomms9414 |
Pubmed ID | |
Authors |
Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Qawi K. Telesford, Alfred B. Yu, Ari E. Kahn, John D. Medaglia, Jean M. Vettel, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett |
Abstract |
Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these dynamic network processes have remained elusive. Here we use tools from control and network theories to offer a mechanistic explanation for how the brain moves between cognitive states drawn from the network organization of white matter microstructure. Our results suggest that densely connected areas, particularly in the default mode system, facilitate the movement of the brain to many easily reachable states. Weakly connected areas, particularly in cognitive control systems, facilitate the movement of the brain to difficult-to-reach states. Areas located on the boundary between network communities, particularly in attentional control systems, facilitate the integration or segregation of diverse cognitive systems. Our results suggest that structural network differences between cognitive circuits dictate their distinct roles in controlling trajectories of brain network function. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 35 | 30% |
United Kingdom | 4 | 3% |
France | 4 | 3% |
Canada | 3 | 3% |
Italy | 3 | 3% |
Spain | 3 | 3% |
Netherlands | 3 | 3% |
Japan | 2 | 2% |
Australia | 2 | 2% |
Other | 13 | 11% |
Unknown | 43 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 60 | 52% |
Scientists | 47 | 41% |
Practitioners (doctors, other healthcare professionals) | 6 | 5% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 2% |
Japan | 5 | <1% |
Germany | 4 | <1% |
Switzerland | 2 | <1% |
Brazil | 2 | <1% |
China | 2 | <1% |
Canada | 2 | <1% |
United Kingdom | 2 | <1% |
Italy | 1 | <1% |
Other | 6 | <1% |
Unknown | 981 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 276 | 27% |
Researcher | 184 | 18% |
Student > Master | 105 | 10% |
Student > Bachelor | 79 | 8% |
Professor | 45 | 4% |
Other | 176 | 17% |
Unknown | 159 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 233 | 23% |
Psychology | 119 | 12% |
Engineering | 117 | 11% |
Agricultural and Biological Sciences | 88 | 9% |
Computer Science | 63 | 6% |
Other | 174 | 17% |
Unknown | 230 | 22% |