Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML model

Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML model

Abstrac: This study presents a comprehensive examination of sex-related differences in resting-state electroencephalogram (EEG) data, leveraging two different types of machine learning models to predict an individual's sex. We utilized data from the Two Decades-Brainclinics Research Archive for...

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Bibliographic Details
Main Authors: Mariam Khayretdinova, Ilya Zakharov, Polina Pshonkovskaya, Timothy Adamovich, Andrey Kiryasov, Andrey Zhdanov, Alexey Shovkun
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:NeuroImage
Subjects:
Resting state EEG
Sex-related brain differences
DCNN
LightGBM
Feature importance analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923006456

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http://www.sciencedirect.com/science/article/pii/S1053811923006456

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