Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity

Journal article

Zandbagleh, A., Mirzakuchaki, S, Daliri, M.R., Premkumar, P. and Sanei, S. (2022). Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity. International Journal of Neural Systems. 34 (2). https://doi.org/10.1142/S0129065722500137
AuthorsZandbagleh, A., Mirzakuchaki, S, Daliri, M.R., Premkumar, P. and Sanei, S.
Abstract

Schizotypy is a latent cluster of personality traits that denote a vulnerability for schizophrenia or a type of spectrum disorder. The aim of the study is to investigate parametric effective brain connectivity features for classifying high versus low schizotypy status. Electroencephalography (EEG) signals are recorded from 13 high schizotypy and 11 low schizotypy participants during an emotional auditory odd-ball task. The brain connectivity signals for machine learning are taken after the settlement of event-related potentials. A multivariate autoregressive (MVAR)-based connectivity measure is estimated from the EEG signals using the directed transfer functions (DTFs) method. The values of DTF power in five standard frequency bands are used as features. The support vector machines (SVM) revealed significant differences between high and low schizotypy. The accuracy, specificity, and sensitivity of the results using SVM are as high as 89.21%, 90.3%, and 88.2%, respectively. Our results demonstrate that the effective brain connectivity in prefrontal/parietal and prefrontal/frontal brain regions considerably changes according to schizotypal status. These findings prove that the brain connectivity indices offer valuable biomarkers for detecting the schizotypal personality. Further monitoring of the changes in DTF following the diagnosis of schizotypy may lead to early identification of schizophrenia and other spectrum disorders.

KeywordsClassification; EEG; Effective Brain Connectivity; Electroencephalography; Schizotypal Personality; Schizotypy
Year2022
JournalInternational Journal of Neural Systems
Journal citation34 (2)
PublisherWorld Scientific Publishing
ISSN0129-0657
Digital Object Identifier (DOI)https://doi.org/10.1142/S0129065722500137
Publication dates
Print02 Mar 2022
Publication process dates
Accepted31 Dec 2021
Deposited07 Mar 2022
Accepted author manuscript
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Electronic version of an article published as Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity in International Journal of Neural Systems, 2022 https://doi.org/10.1142/S0129065722500137 © World Scientific Publishing Company

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