Development of Artificial Intelligence for Determining Major Depressive Disorder Based on Resting-State EEG and Single-Pulse Transcranial Magnetic Stimulation-Evoked EEG Indices

Development of Artificial Intelligence for Determining Major Depressive Disorder Based on Resting-State EEG and Single-Pulse Transcranial Magnetic Stimulation-Evoked EEG Indices

Depression is the disorder with the greatest socioeconomic burdens. Its diagnosis is still based on an operational diagnosis derived from symptoms, and no objective diagnostic indicators exist. Thus, the present study aimed to develop an artificial intelligence (AI) model to aid in the diagnosis of...

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Bibliographic Details
Main Authors: Yoshihiro Noda, Kento Sakaue, Masataka Wada, Mayuko Takano, Shinichiro Nakajima
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence (AI)
machine learning (ML)
major depressive disorder (MDD)
neurophysiology
transcranial magnetic stimulation (TMS)
TMS-EEG
Online Access:https://www.mdpi.com/2075-4426/14/1/101

Internet

https://www.mdpi.com/2075-4426/14/1/101

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