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

Author:

Adhikari Mohit H.1,Hacker Carl D.2,Siegel Josh S.3,Griffa Alessandra45,Hagmann Patric45,Deco Gustavo16,Corbetta Maurizio2378

Affiliation:

1. 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

2. Department of Bioengineering, Washington University Saint Louis, USA

3. Department of Neurology, Washington University School of Medicine Saint Louis, USA

4. Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), 1011 Lausanne, Switzerland

5. Signal Processing Lab 5, Ecole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland

6. Institucio Catalana de la Recerca I Estudis Avancats (ICREA), University of Pompeu Fabra, Passeig Lluis Companys 23, Barcelona, 08010, Spain

7. Departments of Radiology and Neuroscience, Washington University School of Medicine Saint Louis, USA

8. Department of Neuroscience, University of Padua, Italy

Funder

NIH

European Research Council (ERC)

Neuroimaging Informatics and Analysis Center

Publisher

Oxford University Press (OUP)

Subject

Clinical Neurology

Reference58 articles.

1. Computational modeling of resting-state activity demonstrates markers of normalcy in children with prenatal or perinatal stroke;Adhikari;J Neurosci Off J Soc Neurosci,2015

2. Modeling the impact of lesions in the human brain;Alstott;PLoS Comput Biol,2009

3. Changes in resting state effective connectivity in the motor network following rehabilitation of upper extremity poststroke paresis;Andrew James;Top Stroke Rehabil,2009

4. Large-scale changes in network interactions as a physiological signature of spatial neglect;Baldassarre;Brain,2014

5. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J R Stat Soc Ser B Methodol,1995

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