Abnormalities of Alpha Activity in Frontocentral Region of the Brain as a Biomarker to Diagnose Adolescents With Bipolar Disorder

Objectives. To investigate brain abnormalities in adolescents with new-onset bipolar disorder (BD) during acute hypomanic and depressive episodes using electroencephalogram (EEG) analysis and to derive a computer-based method for diagnosis of the disorder. Methods. EEG spectral power and entropy of...

Full description

Saved in:
Bibliographic Details
Published in:Clinical EEG and neuroscience 2019-09, Vol.50 (5), p.311-318
Main Authors: Khaleghi, Ali, Mohammadi, Mohammad Reza, Moeini, Mahdi, Zarafshan, Hadi, Fadaei Fooladi, Mahbod
Format: Article
Language:English
Subjects:
Adolescent
Adolescents
Biomarkers - analysis
Bipolar disorder
Bipolar Disorder - diagnosis
Bipolar Disorder - physiopathology
Brain
Brain - physiopathology
Child
Cognition - physiology
Cognitive ability
Depression - physiopathology
Depressive Disorder - physiopathology
EEG
Electroencephalography
Electroencephalography - methods
Entropy
Female
Humans
Male
Teenagers
Thalamus
Theta rhythms
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objectives. To investigate brain abnormalities in adolescents with new-onset bipolar disorder (BD) during acute hypomanic and depressive episodes using electroencephalogram (EEG) analysis and to derive a computer-based method for diagnosis of the disorder. Methods. EEG spectral power and entropy of 21 adolescents with BD (included 11 patients in the hypomanic episode and 10 patients in the depressive episode) and 18 healthy adolescents were compared. Moreover, using significant differences and K-nearest-neighbors (KNN) classifier, it was attempted to distinguish the BD adolescents from normal ones. Results. The BD adolescents had higher values of spectral power in all frequency bands, particularly in the frontocentral, mid-temporal, and right parietal regions. Also, spectral entropy had significantly increased in delta, alpha, and gamma frequency bands for BD. A high accuracy of 95.8% was achieved by all significant differences in the alpha band in discriminating adolescents with BD. The depressive state showed higher values of spectral power and entropy in low-frequency bands (delta and theta) compared to the hypomanic state. Conclusion. Based on BD symptoms, especially inattention, increased alpha power is a rational finding which is associated with thalamus dysfunction. Thus, it seems that EEG alpha oscillation is the main source of abnormality in BD. Furthermore, EEG slowing in the depressive episode is related to inhibition of electrical activity and reduced cognitive functions.
ISSN:1550-0594
2169-5202
DOI:10.1177/1550059418824824