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  Human brain connectivity: Clinical applications for clinical neurophysiology

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., et al. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. doi:10.1016/j.clinph.2020.03.031.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-48E3-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-A384-C
Genre: Journal Article

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 Creators:
Hallett, Mark1, Author
de Haan, Willem2, Author
Deco, Gustavo3, 4, 5, 6, Author              
Dengler, Reinhard7, Author
Di Iorio, Riccardo8, Author
Gallea, Cecile9, Author
Gerloff, Christian10, Author
Grefkes, Christian11, Author
Helmich, Rick C.12, Author
Kringelbach, Morten L.13, 14, 15, 16, Author
Miraglia, Francesca17, Author
Rektor, Ivan18, Author
Strýček, Ondřej18, Author
Vecchio, Fabrizio17, Author
Volz, Lukas J.18, Author
Wu, Tao19, Author
Rossini, Paolo M.17, Author
Affiliations:
1Human Motor Control Section, National Institutes of Health, Bethrsda, MD, USA, ou_persistent22              
2Department of Neurology, Amsterdam Neuroscience, VU University Amsterdam, the Netherlands, ou_persistent22              
3Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
4Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
6School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
7Department of Neurology and Clinical Neurophysiology, Hannover Medical School MHH, Germany, ou_persistent22              
8IRCCS: Scientific Institute for Research and Healthcare, Rome, Italy, ou_persistent22              
9Movement Investigations and Therapeutics, Paris Brain Institute, Université Paris-Sorbonne, France, ou_persistent22              
10Experimental Electrophysiology and Neuroimaging Laboratory, Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
11Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              
12Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, ou_persistent22              
13Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
14Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
15ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              
16Institut d’études avancées de Paris, France, ou_persistent22              
17Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy, ou_persistent22              
18Central European Institute of Technology (CEITEC), Brno, Czech Republic, ou_persistent22              
19Division of Parkinson's Disease Imaging Research, National Clinical Research Center on Geriatric Disorders, Capital Medical University, Peking, China, ou_persistent22              

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Free keywords: Networks; Coherence; Graph theory; Neurodegeneration; Dementia; Amyotrophic lateral sclerosis; Stroke; Parkinson disease; Dystonia; Essential tremor; Apraxia; Epilepsy; Phantom limb; Psychiatric disorders; EEG; MRI
 Abstract: This manuscript is the second part of a two-part description of the current status of understanding of the network function of the brain in health and disease. We start with the concept that brain function can be understood only by understanding its networks, how and why information flows in the brain. The first manuscript dealt with methods for network analysis, and the current manuscript focuses on the use of these methods to understand a wide variety of neurological and psychiatric disorders. Disorders considered are neurodegenerative disorders, such as Alzheimer disease and amyotrophic lateral sclerosis, stroke, movement disorders, including essential tremor, Parkinson disease, dystonia and apraxia, epilepsy, psychiatric disorders such as schizophrenia, and phantom limb pain. This state-of-the-art review makes clear the value of networks and brain models for understanding symptoms and signs of disease and can serve as a foundation for further work.

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Language(s): eng - English
 Dates: 2020-03-132019-11-182020-03-172020-04-212020-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.clinph.2020.03.031
Other: epub 2020
PMID: 32417703
 Degree: -

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Title: Clinical Neurophysiology
  Other : Clin. Neurophysiol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 131 (7) Sequence Number: - Start / End Page: 1621 - 1651 Identifier: ISSN: 1388-2457
CoNE: https://pure.mpg.de/cone/journals/resource/954926941726