Sokolov Arseny, A;
Cristina, G;
Elda, FG;
Giulia, PM;
Philippe, R;
Dimitri, VDV;
Friston, K J;
(2019)
Brain network analyses in clinical neuroscience.
Swiss Archives of Neurology, Psychiatry and Psychotherapy
, 170
(6)
, Article w03074. 10.4414/sanp.2019.03074.
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Abstract
Network analyses are now considered fundamental for understanding brain function. Nonetheless neuroimaging characterisations of connectivity are just emerging in clinical neuroscience. Here, we briefly outline the concepts underlying structural, functional and effective connectivity, and discuss some cutting-edge approaches to the quantitative assessment of brain architecture and dynamics. As illustrated by recent evidence, comprehensive and integrative network analyses offer the potential for refining pathophysiological concepts and therapeutic strategies in neurological and psychiatric conditions across the lifespan.
| Type: | Article |
|---|---|
| Title: | Brain network analyses in clinical neuroscience |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.4414/sanp.2019.03074 |
| Publisher version: | https://doi.org/10.4414/sanp.2019.03074 |
| Language: | English |
| Additional information: | Published under the copyright license “Attribution – Non-Commercial – No Derivatives 4.0”. No commercial reuse without permission https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Keywords: | anatomical connectivity, functional connectivity, effective connectivity, diffusion MRI, functional MRI |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10092692 |
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