Modelling ECT effects by connectivity changes in cortical neural networks

Yuqiao Gu; Geir Halnes; Hans Liljenström; Dietrich von Rosen

doi:10.1016/j.neucom.2005.12.104

Modelling ECT effects by connectivity changes in cortical neural networks

Yuqiao Gu
, Geir Halnes
, Hans Liljenström
, Dietrich von Rosen

Publication: Contribution to journal › Journal article › peer-review

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
DOIs	https://doi.org/10.1016/j.neucom.2005.12.104
Publication status	Published - 2006

Keywords

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

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10.1016/j.neucom.2005.12.104

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title = "Modelling ECT effects by connectivity changes in cortical neural networks",

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 = "EEG, Clinical data, Neurodynamics, Neo-cortical network, Fitzhugh{\textendash}Nagumo neurons, EEG, Clinical data, Neurodynamics, Neo-cortical network, Fitzhugh{\textendash}Nagumo neurons",

author = "Yuqiao Gu and Geir Halnes and Hans Liljenstr{\"o}m and \{von Rosen\}, Dietrich",

year = "2006",

doi = "10.1016/j.neucom.2005.12.104",

language = "English",

volume = "69",

pages = "1341--1347",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Modelling ECT effects by connectivity changes in cortical neural networks

AU - Gu, Yuqiao

AU - Halnes, Geir

AU - Liljenström, Hans

AU - von Rosen, Dietrich

PY - 2006

Y1 - 2006

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 - EEG

KW - Clinical data

KW - Neurodynamics

KW - Neo-cortical network

KW - Fitzhugh–Nagumo neurons

KW - EEG

KW - Clinical data

KW - Neurodynamics

KW - Neo-cortical network

KW - Fitzhugh–Nagumo neurons

UR - https://res.slu.se/id/publ/9744

U2 - 10.1016/j.neucom.2005.12.104

DO - 10.1016/j.neucom.2005.12.104

M3 - Journal article

SN - 0925-2312

VL - 69

SP - 1341

EP - 1347

JO - Neurocomputing

JF - Neurocomputing

ER -

Modelling ECT effects by connectivity changes in cortical neural networks

Abstract

Keywords

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