NDLI: Schizophrenia classification with single-trial MEG during language processing

Content Provider	IEEE Xplore Digital Library
Author	Tingting Xu Stephane, M. Parhi, K.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Minnesota, Minneapolis, MN, USA (Tingting Xu; Parhi, K.K.) \|\| Dept. of Psychiatry, Oregon Health & Sci. Univ., Portland, OR, USA (Stephane, M.)
Abstract	Language disorder is a core symptom associated with schizophrenia. This study investigates schizophrenia classification based on brain activity during language processing. 6 healthy controls and 6 schizophrenia patients were instructed to read words and sentences silently while 248 channel magnetoencephalography (MEG) signals were recorded. For each trial, power spectral features were extracted in 8 frequency bands from all channels which form a spectral-spatial feature set. Top features ranked by F-score were fed into machine learning based classifiers for patient and control classification. Following cross validation procedure, 98.94% and 99.78% accuracies were achieved in classifying 470 word trials and 450 sentence trials, respectively. The high accuracy indicates abnormalities of brain activity during language processing in patient group and show that MEG patterns reflecting such abnormalities can be used to discriminate schizophrenia patients from healthy subjects. The proposed scheme may have potential application in schizophrenia diagnosis and classifying other mental diseases.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	354
Ending Page	357
File Size	500191
Page Count	4
File Format	PDF
e-ISBN	9781479923908
DOI	10.1109/ACSSC.2013.6810294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Accuracy Brain Support vector machines Training Magnetoencephalography Electroencephalography classification schizophrenia language processing magnetoencephalography (MEG)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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