Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory

Nuri F. Ince, Giuseppe Pellizzer, Ahmed H. Tewfik, Katie Nelson, Arthur Leuthold, Kate McClannahan, Massoud Stephane

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Objective: To investigate whether temporo-spatial patterns of brain oscillations extracted from multichannel magnetoencephalogram (MEG) recordings in a working memory task can be used successfully as a biometric marker to discriminate between healthy control subjects and patients with schizophrenia. Methods: Five letters appearing sequentially on a screen had to be memorized. The letters constituted a word in one condition and a pronounceable non-word in the other. Power changes of 248 channel MEG data were extracted in frequency sub-bands and a two-step filter and search algorithm was used to select informative features that discriminated patients and controls. Results: The discrimination between patients and controls was greater in the word condition than in the non-word condition. Furthermore, in the word condition, the most discriminant patterns were extracted in delta (1-4 Hz), alpha (12-16 Hz) and beta (16-24 Hz) frequency bands. These features were located in the left dorso-frontal, occipital and left fronto-temporal, respectively. Conclusion: The analysis of the oscillatory patterns of MEG recordings in the working memory task provided a high level of correct classification of patients and controls. Significance: We show, using a newly developed algorithm, that the temporo-spatial patterns of brain oscillations can be used as biometric marker that discriminate schizophrenia patients and healthy controls.

Original languageEnglish (US)
Pages (from-to)1123-1134
Number of pages12
JournalClinical Neurophysiology
Volume120
Issue number6
DOIs
StatePublished - Jun 2009
Externally publishedYes

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Short-Term Memory
Schizophrenia
Brain
Healthy Volunteers

Keywords

  • Classification
  • ERD
  • ERS
  • MEG
  • Schizophrenia
  • Working memory

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Physiology (medical)
  • Sensory Systems

Cite this

Ince, N. F., Pellizzer, G., Tewfik, A. H., Nelson, K., Leuthold, A., McClannahan, K., & Stephane, M. (2009). Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory. Clinical Neurophysiology, 120(6), 1123-1134. https://doi.org/10.1016/j.clinph.2009.04.008

Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory. / Ince, Nuri F.; Pellizzer, Giuseppe; Tewfik, Ahmed H.; Nelson, Katie; Leuthold, Arthur; McClannahan, Kate; Stephane, Massoud.

In: Clinical Neurophysiology, Vol. 120, No. 6, 06.2009, p. 1123-1134.

Research output: Contribution to journalArticle

Ince, NF, Pellizzer, G, Tewfik, AH, Nelson, K, Leuthold, A, McClannahan, K & Stephane, M 2009, 'Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory', Clinical Neurophysiology, vol. 120, no. 6, pp. 1123-1134. https://doi.org/10.1016/j.clinph.2009.04.008
Ince NF, Pellizzer G, Tewfik AH, Nelson K, Leuthold A, McClannahan K et al. Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory. Clinical Neurophysiology. 2009 Jun;120(6):1123-1134. https://doi.org/10.1016/j.clinph.2009.04.008
Ince, Nuri F. ; Pellizzer, Giuseppe ; Tewfik, Ahmed H. ; Nelson, Katie ; Leuthold, Arthur ; McClannahan, Kate ; Stephane, Massoud. / Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory. In: Clinical Neurophysiology. 2009 ; Vol. 120, No. 6. pp. 1123-1134.
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