Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes.
This article presents a novel connectivity analysis method that is suitable for multi-node networks such as EEG, MEG or EcOG electrode recordings. Its diagnostic power and ability to interpret brain states in schizophrenia is demonstrated on a set of 50 subjects that constituted of 25 healthy and 25...
Main Authors: | Zack Dvey-Aharon, Noa Fogelson, Abraham Peled, Nathan Intrator |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5648105?pdf=render |
Similar Items
-
Schizophrenia detection and classification by advanced analysis of EEG recordings using a single electrode approach.
by: Zack Dvey-Aharon, et al.
Published: (2015-01-01) -
Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment
by: Lior Molcho, et al.
Published: (2022-05-01) -
Predicting the future development of diabetic retinopathy using a deep learning algorithm for the analysis of non-invasive retinal imaging
by: Tsontcho Ianchulev, et al.
Published: (2022-10-01) -
Evaluation of Parkinson’s disease early diagnosis using single-channel EEG features and auditory cognitive assessment
by: Lior Molcho, et al.
Published: (2023-12-01) -
EEG-based spatio-temporal relation signatures for the diagnosis of depression and schizophrenia
by: Oded Shor, et al.
Published: (2023-01-01)