Resting state networks analysis using simultaneous EEG-fMRI for epilepsy patient

Panda, Rajanikant; Bharath, Rose Dawn; Mangalore, Sandhya; Upadhyay, Neeraj; Thamodharan, A.; Kanungo, Silpa

doi:10.1007/978-81-322-1000-9_56

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Resting state networks analysis using simultaneous EEG-fMRI for epilepsy patient

Panda, Rajanikant; Bharath, Rose Dawn; Mangalore, Sandhya et al.

2013 • In Proceedings of the Fourth International Conference on Signal and Image Processing 2012, ICSIP 2012

Peer reviewed

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https://hdl.handle.net/2268/299092

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10.1007/978-81-322-1000-9_56

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Keywords :

EEG; EEG-microstate; fMRI; GLM; ICA; Resting State Network; Epileptiform discharges; Explanatory variables; Independent component analysis(ICA); Independent components; Resting state; Industrial and Manufacturing Engineering

Abstract :

[en] The resting state EEG-fMRI has opened a new avenue in not only neuro cognitive studies but it has also found practical utility in clinical applications. We studied the Resting State Networks on Epilepsy Patient to understand the neuronal substrates involved in epilepsy. Five epilepsy patients were undertaken for simultaneous EEG-fMRI study. EEG microstates was computed and was considered as explanatory variables in the GLM design for the analysis of fMRI data in an event related design. z-stats and independent component was examined for simultaneous EEG-fMRI. We hypothesized that it's possible to analyze the affected brain areas for epileptiform discharges in epileptic patients at resting state. Microstates convolved functional image and its independent components using hybrid technique including both the neuronal and hemodynamic information was demonstrated on patients structural image. From this result we conclude that using EEG microstate and Independent Component Analysis (ICA) of resting fMRI we may examine the brain areas involved in resting state brain discharge. Also it will be useful for the analysis of EEG-fMRI data in which electrical epileptic discharge are not apparent on scalp EEG at the time of data acquisition. © 2013 Springer.

Disciplines :

Neurology

Author, co-author :

Panda, Rajanikant ; Université de Liège - ULiège > GIGA > GIGA Consciousness - Coma Science Group ; Cognitive Neuroscience Center, National Institute of Mental Health and Neuroscience, Bangalore, Karnataka, India

Bharath, Rose Dawn; Cognitive Neuroscience Center, National Institute of Mental Health and Neuroscience, Bangalore, Karnataka, India

Mangalore, Sandhya; Cognitive Neuroscience Center, National Institute of Mental Health and Neuroscience, Bangalore, Karnataka, India

Upadhyay, Neeraj; Cognitive Neuroscience Center, National Institute of Mental Health and Neuroscience, Bangalore, Karnataka, India

Thamodharan, A.; Cognitive Neuroscience Center, National Institute of Mental Health and Neuroscience, Bangalore, Karnataka, India

Kanungo, Silpa; Cognitive Neuroscience Center, National Institute of Mental Health and Neuroscience, Bangalore, Karnataka, India

Language :

English

Title :

Resting state networks analysis using simultaneous EEG-fMRI for epilepsy patient

Publication date :

15 October 2013

Event name :

Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)

Event place :

Ind

Event date :

13-12-2012 => 15-12-2012

By request :

Yes

Audience :

International

Main work title :

Proceedings of the Fourth International Conference on Signal and Image Processing 2012, ICSIP 2012

Publisher :

Springer India

ISBN/EAN :

9788132209997

Peer reviewed :

Peer reviewed

Additional URL :

http://link.springer.com/content/pdf/10.1007/978-81-322-1000-9_56.pdf

Funding text :

We thank Dr. S. R. Chandra to examine the EEG signal and Dr. Shobini L. Rao, Dr. Arun Kumar Gupta for their inspiration and very helpful assessment on the simultaneous EEG-fMRI bring into play. Cognitive Neuroscience Center is supported by the Department of Science and Technology (DST), India.

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since 18 January 2023

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