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@article{1668314,
author = {Hallett, M. and de Haan, W. and Deco, G. and Dengler, R. and Di Iorio, R. and Gallea, C. and Gerloff, C. and Grefkes, C. and Helmich, R.C. and Kringelbach, M.L. and Miraglia, F. and Rektor, Ivan and Strýček, Ondřej and Vecchio, F. and Volz, L.J. and Wu, T. and Rossini, P.M.},
article_location = {Clare},
article_number = {7},
doi = {http://dx.doi.org/10.1016/j.clinph.2020.03.031},
keywords = {Networks; coherence; Graph theory; Neurodegeneration; Dementia; Amyotrophic lateral sclerosis; Stroke; Parkinson disease; Dystonia; Essential tremor; Apraxia; Epilepsy; Phantom limb; Psychiatric disorders; EEG; MRI},
language = {eng},
issn = {1388-2457},
journal = {Clinical Neurophysiology},
title = {Human brain connectivity: Clinical applications for clinical neurophysiology},
url = {https://www.sciencedirect.com/science/article/pii/S1388245720301371?via%3Dihub},
volume = {131},
year = {2020}
}
TY - JOUR
ID - 1668314
AU - Hallett, M. - de Haan, W. - Deco, G. - Dengler, R. - Di Iorio, R. - Gallea, C. - Gerloff, C. - Grefkes, C. - Helmich, R.C. - Kringelbach, M.L. - Miraglia, F. - Rektor, Ivan - Strýček, Ondřej - Vecchio, F. - Volz, L.J. - Wu, T. - Rossini, P.M.
PY - 2020
TI - Human brain connectivity: Clinical applications for clinical neurophysiology
JF - Clinical Neurophysiology
VL - 131
IS - 7
SP - 1621-1651
EP - 1621-1651
PB - Elsevier Ireland
SN - 13882457
KW - Networks
KW - coherence
KW - Graph theory
KW - Neurodegeneration
KW - Dementia
KW - Amyotrophic lateral sclerosis
KW - Stroke
KW - Parkinson disease
KW - Dystonia
KW - Essential tremor
KW - Apraxia
KW - Epilepsy
KW - Phantom limb
KW - Psychiatric disorders
KW - EEG
KW - MRI
UR - https://www.sciencedirect.com/science/article/pii/S1388245720301371?via%3Dihub
L2 - https://www.sciencedirect.com/science/article/pii/S1388245720301371?via%3Dihub
N2 - 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. Published by Elsevier B.V. on behalf of International Federation of Clinical Neurophysiology.
ER -
HALLETT, M., W. DE HAAN, G. DECO, R. DENGLER, R. DI IORIO, C. GALLEA, C. GERLOFF, C. GREFKES, R.C. HELMICH, M.L. KRINGELBACH, F. MIRAGLIA, Ivan REKTOR, Ondřej STRÝČEK, F. VECCHIO, L.J. VOLZ, T. WU and P.M. ROSSINI. Human brain connectivity: Clinical applications for clinical neurophysiology. \textit{Clinical Neurophysiology}. Clare: Elsevier Ireland, 2020, vol.~131, No~7, p.~1621-1651. ISSN~1388-2457. Available from: https://dx.doi.org/10.1016/j.clinph.2020.03.031.
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