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Ensemble Synchronization in Schizophrenia Kaushik Majumdar, ISI Bangalore Joint work with Pradeep D. Prasad (ISI), John P John (NIMHANS), H. N. Harsha.

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Presentation on theme: "Ensemble Synchronization in Schizophrenia Kaushik Majumdar, ISI Bangalore Joint work with Pradeep D. Prasad (ISI), John P John (NIMHANS), H. N. Harsha."— Presentation transcript:

1 Ensemble Synchronization in Schizophrenia Kaushik Majumdar, ISI Bangalore Joint work with Pradeep D. Prasad (ISI), John P John (NIMHANS), H. N. Harsha (Nitte University) https://sites.google.com/site/isicng/ (Computational Neuroscience Group) Electrical Geodesics Inc & Neuroinformatics Center, UO, 15 Nov. 2013

2 Video Synchronization: Snapshot

3 Pairwise Hilbert Phase Synchronization Prasad et al. Clin. EEG Neurosci. 44(1): 16 – 24, 2013

4 Hilbert Transformation and Instantaneous Phase

5 Phase Synchronization Prasad et al. 2012

6 Cross Modal Task

7 Videos  Healthy control subject http://youtu.be/4aFMQFhiRHw http://youtu.be/4aFMQFhiRHw  Patient with schizophrenia http://youtu.be/-TECG5XQhB4 http://youtu.be/-TECG5XQhB4

8 Multi-channel synchronization

9 Single Trial Ensemble Synchronization

10 Trial Averaged Ensemble Synchronization

11 ERSP & ITC

12 Trial Selection

13 Classification by Logistic Regression  3 dimensional feature space: 1.Ensemble right hemispheric synchronization. 2.Ensemble left hemispheric synchronization. 3.Response latency.

14 2 Dimensional Projection of 3 Dimensional Feature Space Cross is patient with schizophrenia square is healthy control subject Incongruent stimulus

15 2 Dimensional Projection of 3 Dimensional Feature Space Congruent stimulus Plus is patient with schizophrenia circle is healthy control subject

16 2 Dimensional Projection of 3 Dimensional Feature Space Neutral stimulus Star is patient with schizophrenia diamond is healthy control subject

17 Average Accuracy

18 Probabilistic Score

19 Reference  P. D. Prasad, H. N. Halahalli, J. P. John and K. Majumdar, “Single-trial EEG classification using logistic regression based on ensemble synchronization,” accepted in IEEE Journal on Biomedical and Health Informatics.


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