Schizophrenia classification using working memory MEG ERD/ERS patterns

Nuri F. Ince, Massoud Stephane, Ahmed H. Tewfik, Giuseppe Pellizzer, Kate McClannahan

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

3 Citations (Scopus)

Abstract

In this paper we investigate the use of event related desynchronization (ERD) and synchronization (ERS) patterns extracted from magnetoencephalogram (MEG) in a working memory task to discriminate between controls and patients with schizophrenia. In the experimental paradigm, sequential letters appearing on a screen are memorized by subjects. In one of two conditions the letters constituted a word. The ERD and ERS patterns are extracted in the theta, alpha, beta and gamma bands from 248 electrode locations covering the whole head. We noticed that most of the ERD patterns are localized on the left frontotemporal area in both word and nonword conditions in the late memorization stage. The beta band showed the most significant difference in this cortical area between controls and schizophrenia patients. By using a decision tree, 94.7% and 87.5% classification accuracy was obtained for controls and patients individually in both word and nonword conditions. Furthermore, we report that on the left frontotem poral lobe, the discrimination within the beta band between patients and controls in the word condition was higher than in the nonword condition. The higher discrimination within the word condition can be linked to the abnormalities in language processing in schizophrenia patients. Our results show that the ERD/ERS patterns extracted from MEG can be successfully used in patient-control discrimination with appropriate adjustment of spatial, spectral, temporal and functional process parameters.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages457-460
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: May 2 2007May 5 2007

Other

Other3rd International IEEE EMBS Conference on Neural Engineering
CountryUnited States
CityKohala Coast, HI
Period5/2/075/5/07

Fingerprint

Short-Term Memory
Schizophrenia
Synchronization
Data storage equipment
Social Adjustment
Decision Trees
Decision trees
Electrodes
Language
Head
Processing
Discrimination (Psychology)

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Neuroscience (miscellaneous)

Cite this

Ince, N. F., Stephane, M., Tewfik, A. H., Pellizzer, G., & McClannahan, K. (2007). Schizophrenia classification using working memory MEG ERD/ERS patterns. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 457-460). [4227313] https://doi.org/10.1109/CNE.2007.369708

Schizophrenia classification using working memory MEG ERD/ERS patterns. / Ince, Nuri F.; Stephane, Massoud; Tewfik, Ahmed H.; Pellizzer, Giuseppe; McClannahan, Kate.

Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. p. 457-460 4227313.

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

Ince, NF, Stephane, M, Tewfik, AH, Pellizzer, G & McClannahan, K 2007, Schizophrenia classification using working memory MEG ERD/ERS patterns. in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering., 4227313, pp. 457-460, 3rd International IEEE EMBS Conference on Neural Engineering, Kohala Coast, HI, United States, 5/2/07. https://doi.org/10.1109/CNE.2007.369708
Ince NF, Stephane M, Tewfik AH, Pellizzer G, McClannahan K. Schizophrenia classification using working memory MEG ERD/ERS patterns. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. p. 457-460. 4227313 https://doi.org/10.1109/CNE.2007.369708
Ince, Nuri F. ; Stephane, Massoud ; Tewfik, Ahmed H. ; Pellizzer, Giuseppe ; McClannahan, Kate. / Schizophrenia classification using working memory MEG ERD/ERS patterns. Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. pp. 457-460
@inproceedings{f66935e9363c4891bd5d01adcaa101b6,
title = "Schizophrenia classification using working memory MEG ERD/ERS patterns",
abstract = "In this paper we investigate the use of event related desynchronization (ERD) and synchronization (ERS) patterns extracted from magnetoencephalogram (MEG) in a working memory task to discriminate between controls and patients with schizophrenia. In the experimental paradigm, sequential letters appearing on a screen are memorized by subjects. In one of two conditions the letters constituted a word. The ERD and ERS patterns are extracted in the theta, alpha, beta and gamma bands from 248 electrode locations covering the whole head. We noticed that most of the ERD patterns are localized on the left frontotemporal area in both word and nonword conditions in the late memorization stage. The beta band showed the most significant difference in this cortical area between controls and schizophrenia patients. By using a decision tree, 94.7{\%} and 87.5{\%} classification accuracy was obtained for controls and patients individually in both word and nonword conditions. Furthermore, we report that on the left frontotem poral lobe, the discrimination within the beta band between patients and controls in the word condition was higher than in the nonword condition. The higher discrimination within the word condition can be linked to the abnormalities in language processing in schizophrenia patients. Our results show that the ERD/ERS patterns extracted from MEG can be successfully used in patient-control discrimination with appropriate adjustment of spatial, spectral, temporal and functional process parameters.",
author = "Ince, {Nuri F.} and Massoud Stephane and Tewfik, {Ahmed H.} and Giuseppe Pellizzer and Kate McClannahan",
year = "2007",
doi = "10.1109/CNE.2007.369708",
language = "English (US)",
isbn = "1424407923",
pages = "457--460",
booktitle = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",

}

TY - GEN

T1 - Schizophrenia classification using working memory MEG ERD/ERS patterns

AU - Ince, Nuri F.

AU - Stephane, Massoud

AU - Tewfik, Ahmed H.

AU - Pellizzer, Giuseppe

AU - McClannahan, Kate

PY - 2007

Y1 - 2007

N2 - In this paper we investigate the use of event related desynchronization (ERD) and synchronization (ERS) patterns extracted from magnetoencephalogram (MEG) in a working memory task to discriminate between controls and patients with schizophrenia. In the experimental paradigm, sequential letters appearing on a screen are memorized by subjects. In one of two conditions the letters constituted a word. The ERD and ERS patterns are extracted in the theta, alpha, beta and gamma bands from 248 electrode locations covering the whole head. We noticed that most of the ERD patterns are localized on the left frontotemporal area in both word and nonword conditions in the late memorization stage. The beta band showed the most significant difference in this cortical area between controls and schizophrenia patients. By using a decision tree, 94.7% and 87.5% classification accuracy was obtained for controls and patients individually in both word and nonword conditions. Furthermore, we report that on the left frontotem poral lobe, the discrimination within the beta band between patients and controls in the word condition was higher than in the nonword condition. The higher discrimination within the word condition can be linked to the abnormalities in language processing in schizophrenia patients. Our results show that the ERD/ERS patterns extracted from MEG can be successfully used in patient-control discrimination with appropriate adjustment of spatial, spectral, temporal and functional process parameters.

AB - In this paper we investigate the use of event related desynchronization (ERD) and synchronization (ERS) patterns extracted from magnetoencephalogram (MEG) in a working memory task to discriminate between controls and patients with schizophrenia. In the experimental paradigm, sequential letters appearing on a screen are memorized by subjects. In one of two conditions the letters constituted a word. The ERD and ERS patterns are extracted in the theta, alpha, beta and gamma bands from 248 electrode locations covering the whole head. We noticed that most of the ERD patterns are localized on the left frontotemporal area in both word and nonword conditions in the late memorization stage. The beta band showed the most significant difference in this cortical area between controls and schizophrenia patients. By using a decision tree, 94.7% and 87.5% classification accuracy was obtained for controls and patients individually in both word and nonword conditions. Furthermore, we report that on the left frontotem poral lobe, the discrimination within the beta band between patients and controls in the word condition was higher than in the nonword condition. The higher discrimination within the word condition can be linked to the abnormalities in language processing in schizophrenia patients. Our results show that the ERD/ERS patterns extracted from MEG can be successfully used in patient-control discrimination with appropriate adjustment of spatial, spectral, temporal and functional process parameters.

UR - http://www.scopus.com/inward/record.url?scp=34548706510&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548706510&partnerID=8YFLogxK

U2 - 10.1109/CNE.2007.369708

DO - 10.1109/CNE.2007.369708

M3 - Conference contribution

AN - SCOPUS:34548706510

SN - 1424407923

SN - 9781424407927

SP - 457

EP - 460

BT - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

ER -