Schizophrenia classification with single-trial MEG during language processing

Tingting Xu, Massoud Stephane, Keshab K. Parhi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
    PublisherIEEE Computer Society
    Pages354-357
    Number of pages4
    ISBN (Print)9781479923908
    DOIs
    StatePublished - 2013
    Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
    Duration: Nov 3 2013Nov 6 2013

    Other

    Other2013 47th Asilomar Conference on Signals, Systems and Computers
    CountryUnited States
    CityPacific Grove, CA
    Period11/3/1311/6/13

    Fingerprint

    Magnetoencephalography
    Brain
    Processing
    Frequency bands
    Learning systems
    Classifiers

    Keywords

    • classification
    • language processing
    • magnetoencephalography (MEG)
    • schizophrenia

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Signal Processing

    Cite this

    Xu, T., Stephane, M., & Parhi, K. K. (2013). Schizophrenia classification with single-trial MEG during language processing. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 354-357). [6810294] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810294

    Schizophrenia classification with single-trial MEG during language processing. / Xu, Tingting; Stephane, Massoud; Parhi, Keshab K.

    Conference Record - Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society, 2013. p. 354-357 6810294.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Xu, T, Stephane, M & Parhi, KK 2013, Schizophrenia classification with single-trial MEG during language processing. in Conference Record - Asilomar Conference on Signals, Systems and Computers., 6810294, IEEE Computer Society, pp. 354-357, 2013 47th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 11/3/13. https://doi.org/10.1109/ACSSC.2013.6810294
    Xu T, Stephane M, Parhi KK. Schizophrenia classification with single-trial MEG during language processing. In Conference Record - Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society. 2013. p. 354-357. 6810294 https://doi.org/10.1109/ACSSC.2013.6810294
    Xu, Tingting ; Stephane, Massoud ; Parhi, Keshab K. / Schizophrenia classification with single-trial MEG during language processing. Conference Record - Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society, 2013. pp. 354-357
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