Eeg correlates of cognitive functions and neuropsychiatric disorders: A review of oscillatory activity and neural synchrony abnormalities
- Authors
- Amidfar, Meysam; Kim, Yong-Ku
- Issue Date
- Dec-2019
- Publisher
- Bentham Science Publishers
- Keywords
- Brain rhythms; Cognitive functions; EEG coherence; EEG oscillations; Neural synchrony; Neuropsychiatric diseases
- Citation
- Current Psychiatry Research and Reviews, v.16, no.4, pp 228 - 243
- Pages
- 16
- Indexed
- SCOPUS
- Journal Title
- Current Psychiatry Research and Reviews
- Volume
- 16
- Number
- 4
- Start Page
- 228
- End Page
- 243
- URI
- https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/52934
- DOI
- 10.2174/2666082216999201209130117
- ISSN
- 2666-0830
- Abstract
- Background
A large body of evidence suggested that disruption of neural rhythms and synchronization of brain oscillations are correlated with a variety of cognitive and perceptual processes. Cognitive deficits are common features of psychiatric disorders that complicate treatment of the motivational, affective and emotional symptoms.
Objective
Electrophysiological correlates of cognitive functions will contribute to understanding of neural circuits controlling cognition, the causes of their perturbation in psychiatric disorders and developing novel targets for the treatment of cognitive impairments.
Methods
This review includes a description of brain oscillations in Alzheimer’s disease, bipolar disorder, attention-deficit/hyperactivity disorder, major depression, obsessive compulsive disorders, anxiety disorders, schizophrenia and autism.
Results
The review clearly shows that the reviewed neuropsychiatric diseases are associated with fundamental changes in both spectral power and coherence of EEG oscillations.
Conclusion
In this article, we examined the nature of brain oscillations, the association of brain rhythms with cognitive functions and the relationship between EEG oscillations and neuropsychiatric diseases. Accordingly, EEG oscillations can most likely be used as biomarkers in psychiatric disorders.
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- Appears in
Collections - 2. Clinical Science > Department of Psychiatry > 1. Journal Articles
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