Decreased integration and information capacity in stroke measured by whole brain models of resting state activity.

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Bibliographic Details
Title: Decreased integration and information capacity in stroke measured by whole brain models of resting state activity.
Authors: Adhikari MH; Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, Barcelona, 08005, Spain., Hacker CD; Department of Bioengineering, Washington University Saint Louis, USA., Siegel JS; Department of Neurology, Washington University School of Medicine Saint Louis, USA., Griffa A; Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), 1011 Lausanne, Switzerland.; Signal Processing Lab 5, Ecole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland., Hagmann P; Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), 1011 Lausanne, Switzerland.; Signal Processing Lab 5, Ecole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland., Deco G; Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, Barcelona, 08005, Spain.; Institucio Catalana de la Recerca I Estudis Avancats (ICREA), University of Pompeu Fabra, Passeig Lluis Companys 23, Barcelona, 08010, Spain., Corbetta M; Department of Bioengineering, Washington University Saint Louis, USA.; Department of Neurology, Washington University School of Medicine Saint Louis, USA.; Departments of Radiology and Neuroscience, Washington University School of Medicine Saint Louis, USA.; Department of Neuroscience, University of Padua, Italy.
Source: Brain : a journal of neurology [Brain] 2017 Apr 01; Vol. 140 (4), pp. 1068-1085.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0372537 Publication Model: Print Cited Medium: Internet ISSN: 1460-2156 (Electronic) Linking ISSN: 00068950 NLM ISO Abbreviation: Brain Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1460-2156
DOI:10.1093/brain/awx021