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| Research article summary (published 18 May 2009): |
Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory.
Full 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.
Author information
Author/s: Ince, Nuri F (NF); Pellizzer, Giuseppe (G); Tewfik, Ahmed H (AH); Nelson, Katie (K); Leuthold, Arthur (A); McClannahan, Kate (K); Stephane, Massoud (M);
Affiliation: Brain Sciences Center, VA Medical Center, Minneapolis, MN, USA. firat(-atsign-)umn.edu
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology (Clin Neurophysiol), published in Netherlands. (Language: eng)
Reference: 2009-Jun; vol 120 (issue 6) : pp 1123-34
Dates: Created 2009/06/01; Completed 2009/06/12;
PMID: 19467924, status: MEDLINE (last retrieval date: 6/12/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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