Journal article
Analysis of phase shifts in clinical EEG evoked by ECT
Neurocomputing (Amsterdam), v 65, pp 475-483
2005
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Abstract
We propose a new strategy for studying the phase shifts of electroencephalography (EEG) after electroconvulsive therapy (ECT) of patients with major depression. We divide each ECT EEG time series into four phases and calculate the power spectrum and coherence of left and right prefrontal EEGs for each phase. Previously, we have qualitatively demonstrated certain ECT EEG dynamical patterns by using a neo-cortical neural network model. Now we quantitatively analyze the dynamical phase shifts of the ECT EEG data. Our results are suggestive for a deeper understanding of the ECT EEG patterns and for building more realistic cortical models.
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Details
- Title
- Analysis of phase shifts in clinical EEG evoked by ECT
- Creators
- Yuqiao Gu - AgoraBjörn Wahlund - Karolinska University HospitalHans Liljenström - AgoraDietrich von Rosen - AgoraHualou Liang - School of Health Information Sciences, University of Texas at Houston, Houston, TX 77030, USA
- Publication Details
- Neurocomputing (Amsterdam), v 65, pp 475-483
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000229663600062
- Scopus ID
- 2-s2.0-18244364821
- Other Identifier
- 991019320715304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence