Epileptic source connectivity analysis based on estimating of dynamic time series of regions of interest. (2nd October 2019)
- Record Type:
- Journal Article
- Title:
- Epileptic source connectivity analysis based on estimating of dynamic time series of regions of interest. (2nd October 2019)
- Main Title:
- Epileptic source connectivity analysis based on estimating of dynamic time series of regions of interest
- Authors:
- Kouti, Mayadeh
Ansari-Asl, Karim
Namjoo, Ehsan - Abstract:
- ABSTRACT: We propose a new source connectivity method by focusing on estimating time courses of the regions of interest (ROIs). To this aim, it is necessary to consider the strong inherent non-stationary behavior of neural activity. We develop an iterative dynamic approach to extract a single time course for each ROI encoding the temporal non-stationary features. The proposed approach explicitly includes dynamic constraints by taking into account the evolution of the sources activities for further dynamic connectivity analysis. We simulated an epileptic network with a non-stationary structure; accordingly, EEG source reconstruction using LORETA is performed. Using the reconstructed sources, the spatially compact ROIs are selected. Then, a single time course encoding the temporal non-stationarity is extracted for each ROI. An adaptive directed transfer function (ADTF) is applied to measure the information flow of underlying brain networks. Obtained results demonstrate that the contributed approach is more efficient to estimate the ROI time series and ROI to ROI information flow in comparison with existing methods. Our work is validated in three drug-resistance epilepsy patients. The proposed ROI time series estimation directly affects the quality of connectivity analysis, leading to the best possible seizure onset zone (SOZ) localization verified by electrocorticography and post-operational results.
- Is Part Of:
- Network. Volume 30:Number 1/4(2019)
- Journal:
- Network
- Issue:
- Volume 30:Number 1/4(2019)
- Issue Display:
- Volume 30, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 30
- Issue:
- 1
- Issue Sort Value:
- 2019-0030-0001-0000
- Page Start:
- 1
- Page End:
- 30
- Publication Date:
- 2019-10-02
- Subjects:
- Source connectivity analysis -- region of interest (ROI) -- EEG source imaging -- panelized least square -- non-stationary neural activity -- epilepsy
Neural computers -- Periodicals
Neural networks (Computer science) -- Periodicals
006.32 - Journal URLs:
- http://informahealthcare.com/loi/net ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/0954898X.2019.1634290 ↗
- Languages:
- English
- ISSNs:
- 0954-898X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6077.203005
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 21508.xml