Modelling ECT effects by connectivity changes in cortical neural networks

Y. Gu; G. Halnes; H. Liljenström; D. von Rosen; B. Wahlund; H. Liang

doi:10.1016/j.neucom.2005.12.104

Modelling ECT effects by connectivity changes in cortical neural networks

Y. Gu (Corresponding Author)
, G. Halnes
, H. Liljenström
, D. von Rosen
, B. Wahlund
, H. Liang

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

7 Citations (Scopus)

Abstract

Biomathematical methods were applied to investigate how cortical neurodynamics depends on network connectivity. In particular, we study changes in the EEG pattern of depressed patients, following electroconvulsive therapy (ECT). The aim is to gain a better understanding of the neural mechanisms responsible for these changes, which include clear phase shifts in the EEG dynamics. This understanding is intended to provide clinical guidance in predicting ECT dose and response in depressed patients.

Original language	English
Pages (from-to)	1341-1347
Number of pages	7
Journal	Neurocomputing
Volume	69
Issue number	10-12
DOIs	https://doi.org/10.1016/j.neucom.2005.12.104
Publication status	Published - 10 Feb 2006
Externally published	Yes

Keywords

Clinical data
EEG
Fitzhugh-Nagumo neurons
Neo-cortical network
Neurodynamics

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.neucom.2005.12.104

Cite this

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abstract = "Biomathematical methods were applied to investigate how cortical neurodynamics depends on network connectivity. In particular, we study changes in the EEG pattern of depressed patients, following electroconvulsive therapy (ECT). The aim is to gain a better understanding of the neural mechanisms responsible for these changes, which include clear phase shifts in the EEG dynamics. This understanding is intended to provide clinical guidance in predicting ECT dose and response in depressed patients.",

keywords = "Clinical data, EEG, Fitzhugh-Nagumo neurons, Neo-cortical network, Neurodynamics",

author = "Y. Gu and G. Halnes and H. Liljenstr{\"o}m and \{von Rosen\}, D. and B. Wahlund and H. Liang",

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AU - Gu, Y.

AU - Halnes, G.

AU - Liljenström, H.

AU - von Rosen, D.

AU - Wahlund, B.

AU - Liang, H.

PY - 2006/2/10

Y1 - 2006/2/10

N2 - Biomathematical methods were applied to investigate how cortical neurodynamics depends on network connectivity. In particular, we study changes in the EEG pattern of depressed patients, following electroconvulsive therapy (ECT). The aim is to gain a better understanding of the neural mechanisms responsible for these changes, which include clear phase shifts in the EEG dynamics. This understanding is intended to provide clinical guidance in predicting ECT dose and response in depressed patients.

AB - Biomathematical methods were applied to investigate how cortical neurodynamics depends on network connectivity. In particular, we study changes in the EEG pattern of depressed patients, following electroconvulsive therapy (ECT). The aim is to gain a better understanding of the neural mechanisms responsible for these changes, which include clear phase shifts in the EEG dynamics. This understanding is intended to provide clinical guidance in predicting ECT dose and response in depressed patients.

KW - Clinical data

KW - EEG

KW - Fitzhugh-Nagumo neurons

KW - Neo-cortical network

KW - Neurodynamics

UR - https://www.scopus.com/pages/publications/33748795616

U2 - 10.1016/j.neucom.2005.12.104

DO - 10.1016/j.neucom.2005.12.104

M3 - Journal article

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JO - Neurocomputing

JF - Neurocomputing

IS - 10-12

ER -

Modelling ECT effects by connectivity changes in cortical neural networks

Abstract

Keywords

ASJC Scopus subject areas

More information

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