Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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.

Original publication

DOI

10.1016/j.clinph.2020.03.031

Type

Journal article

Journal

Clin Neurophysiol

Publication Date

07/2020

Volume

131

Pages

1621 - 1651

Keywords

Amyotrophic lateral sclerosis, Apraxia, Dementia, Dystonia, EEG, Epilepsy, Essential tremor, Graph theory, MRI, Networks, coherence, Neurodegeneration, Parkinson disease, Phantom limb, Psychiatric disorders, Stroke