A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease

Basab Bhattacharya, Damien Coyle, Liam Maguire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Attenuation of power in the alpha band (8–13 Hz) of Electroencephalo-grahy (EEG) is identified as a hallmark symptom of Alzheimer’s Disease (AD).There is general agreement in existing literature that the thalamocortical circuitryplay a key role in generation of alpha rhythms. Our research is to gain a better un-derstanding of the cause of alpha rhythm slowing in the thalamocortical circuitry,which in turn might help in early detection of Alzheimer’s Disease. We adopt acomputational approach and base our work on a classic computational model of thethalamocortical circuitry associated with the generation of alpha rhythms proposedby Lopes Da Silva. In this work, we use the model to do a preliminary study on thepower spectrum of the alpha rhythms by varying model parameters corresponding toinhibitory and excitatory synaptic activity. We observe that an increased inhibitorysynaptic activity in the network leads to a decrease in the power of the upper al-pha frequency band (11–13 Hz) and an increase in that of the lower alpha frequencyband (8–10 Hz). Thus we observe an overall slowing of alpha rhythm correspondingto an increase in the inhibitory synaptic activity in the thalamocortical circuitry.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages11
Publication statusPublished - 14 Jul 2010
Eventthe Brain-inspired Cognitive Systems Conference - Spain
Duration: 14 Jul 2010 → …

Conference

Conferencethe Brain-inspired Cognitive Systems Conference
Period14/07/10 → …

Fingerprint

Bioelectric potentials
Frequency bands

Cite this

@inproceedings{e4f802fc7237438cb3b5df31fab707e4,
title = "A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease",
abstract = "Attenuation of power in the alpha band (8–13 Hz) of Electroencephalo-grahy (EEG) is identified as a hallmark symptom of Alzheimer’s Disease (AD).There is general agreement in existing literature that the thalamocortical circuitryplay a key role in generation of alpha rhythms. Our research is to gain a better un-derstanding of the cause of alpha rhythm slowing in the thalamocortical circuitry,which in turn might help in early detection of Alzheimer’s Disease. We adopt acomputational approach and base our work on a classic computational model of thethalamocortical circuitry associated with the generation of alpha rhythms proposedby Lopes Da Silva. In this work, we use the model to do a preliminary study on thepower spectrum of the alpha rhythms by varying model parameters corresponding toinhibitory and excitatory synaptic activity. We observe that an increased inhibitorysynaptic activity in the network leads to a decrease in the power of the upper al-pha frequency band (11–13 Hz) and an increase in that of the lower alpha frequencyband (8–10 Hz). Thus we observe an overall slowing of alpha rhythm correspondingto an increase in the inhibitory synaptic activity in the thalamocortical circuitry.",
author = "Basab Bhattacharya and Damien Coyle and Liam Maguire",
year = "2010",
month = "7",
day = "14",
language = "English",
booktitle = "Unknown Host Publication",

}

Bhattacharya, B, Coyle, D & Maguire, L 2010, A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease. in Unknown Host Publication. the Brain-inspired Cognitive Systems Conference, 14/07/10.

A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease. / Bhattacharya, Basab; Coyle, Damien; Maguire, Liam.

Unknown Host Publication. 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease

AU - Bhattacharya, Basab

AU - Coyle, Damien

AU - Maguire, Liam

PY - 2010/7/14

Y1 - 2010/7/14

N2 - Attenuation of power in the alpha band (8–13 Hz) of Electroencephalo-grahy (EEG) is identified as a hallmark symptom of Alzheimer’s Disease (AD).There is general agreement in existing literature that the thalamocortical circuitryplay a key role in generation of alpha rhythms. Our research is to gain a better un-derstanding of the cause of alpha rhythm slowing in the thalamocortical circuitry,which in turn might help in early detection of Alzheimer’s Disease. We adopt acomputational approach and base our work on a classic computational model of thethalamocortical circuitry associated with the generation of alpha rhythms proposedby Lopes Da Silva. In this work, we use the model to do a preliminary study on thepower spectrum of the alpha rhythms by varying model parameters corresponding toinhibitory and excitatory synaptic activity. We observe that an increased inhibitorysynaptic activity in the network leads to a decrease in the power of the upper al-pha frequency band (11–13 Hz) and an increase in that of the lower alpha frequencyband (8–10 Hz). Thus we observe an overall slowing of alpha rhythm correspondingto an increase in the inhibitory synaptic activity in the thalamocortical circuitry.

AB - Attenuation of power in the alpha band (8–13 Hz) of Electroencephalo-grahy (EEG) is identified as a hallmark symptom of Alzheimer’s Disease (AD).There is general agreement in existing literature that the thalamocortical circuitryplay a key role in generation of alpha rhythms. Our research is to gain a better un-derstanding of the cause of alpha rhythm slowing in the thalamocortical circuitry,which in turn might help in early detection of Alzheimer’s Disease. We adopt acomputational approach and base our work on a classic computational model of thethalamocortical circuitry associated with the generation of alpha rhythms proposedby Lopes Da Silva. In this work, we use the model to do a preliminary study on thepower spectrum of the alpha rhythms by varying model parameters corresponding toinhibitory and excitatory synaptic activity. We observe that an increased inhibitorysynaptic activity in the network leads to a decrease in the power of the upper al-pha frequency band (11–13 Hz) and an increase in that of the lower alpha frequencyband (8–10 Hz). Thus we observe an overall slowing of alpha rhythm correspondingto an increase in the inhibitory synaptic activity in the thalamocortical circuitry.

M3 - Conference contribution

BT - Unknown Host Publication

ER -