title: Classification of schizophrenia with spectro-temporo-spatial MEG patterns in working memory.
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.
  
  
  CONCLUSIONS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Brain Sciences Center, VA Medical Center, Minneapolis, MN, USA. firat@umn.edu
authors.forename: Nuri F
authors.initials: NF
authors.lastname: Ince
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Pellizzer
authors.forename: Ahmed H
authors.initials: AH
authors.lastname: Tewfik
authors.forename: Katie
authors.initials: K
authors.lastname: Nelson
authors.forename: Arthur
authors.initials: A
authors.lastname: Leuthold
authors.forename: Kate
authors.initials: K
authors.lastname: McClannahan
authors.forename: Massoud
authors.initials: M
authors.lastname: Stephane
mesh_terms: D000328:Adult; D000465:Algorithms; D001699:Biometry; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D016022:Case-Control Studies; D004569:Electroencephalography; D005260:Female; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D008568:Memory / Q000502:physiology*; D008875:Middle Aged; D008954:Models, Biological; D012559:Schizophrenia / Q000145:classification* / Q000175:diagnosis / Q000503:physiopathology*