Analysis of phase shifts in clinical EEG evoked by ECT

Yuqiao Gu; Björn Wahlund; Hans Liljenström; Dietrich von Rosen; Hualou Liang

doi:10.1016/j.neucom.2004.11.004

Analysis of phase shifts in clinical EEG evoked by ECT

Yuqiao Gu, Björn Wahlund, Hans Liljenström (Corresponding Author), Dietrich von Rosen, Hualou Liang

Research output: Journal article publication › Journal article › Academic research › peer-review

7 Citations (Scopus)

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.

Original language	English
Pages (from-to)	475-483
Number of pages	9
Journal	Neurocomputing
Volume	65-66
Issue number	SPEC. ISS.
DOIs	https://doi.org/10.1016/j.neucom.2004.11.004
Publication status	Published - 18 Jan 2005
Externally published	Yes

Keywords

EEG frequency bands
Electroconvulsive therapy
Neurodynamics
Phase shift
Power spectrum

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.neucom.2004.11.004

Cite this

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title = "Analysis of phase shifts in clinical EEG evoked by ECT",

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.",

keywords = "EEG frequency bands, Electroconvulsive therapy, Neurodynamics, Phase shift, Power spectrum",

author = "Yuqiao Gu and Bj{\"o}rn Wahlund and Hans Liljenstr{\"o}m and \{von Rosen\}, Dietrich and Hualou Liang",

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T1 - Analysis of phase shifts in clinical EEG evoked by ECT

AU - Gu, Yuqiao

AU - Wahlund, Björn

AU - Liljenström, Hans

AU - von Rosen, Dietrich

AU - Liang, Hualou

PY - 2005/1/18

Y1 - 2005/1/18

N2 - 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.

AB - 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.

KW - EEG frequency bands

KW - Electroconvulsive therapy

KW - Neurodynamics

KW - Phase shift

KW - Power spectrum

UR - https://www.scopus.com/pages/publications/18244364821

U2 - 10.1016/j.neucom.2004.11.004

DO - 10.1016/j.neucom.2004.11.004

M3 - Journal article

AN - SCOPUS:18244364821

SN - 0925-2312

VL - 65-66

SP - 475

EP - 483

JO - Neurocomputing

JF - Neurocomputing

IS - SPEC. ISS.

ER -

Analysis of phase shifts in clinical EEG evoked by ECT

Abstract

Keywords

ASJC Scopus subject areas

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