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Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models

PURPOSE: This fMRI study is about modelling the effective connectivity between Heschl’s gyrus (HG) and the superior temporal gyrus (STG) in human primary auditory cortices. MATERIALS & METHODS: Ten healthy male participants were required to listen to white noise stimuli during functional magneti...

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Detalles Bibliográficos
Autores principales: Hamid, KA, Yusoff, AN, Rahman, MZA, Mohamad, M, Hamid, AIA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, Malaysia 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3432259/
https://www.ncbi.nlm.nih.gov/pubmed/22970069
http://dx.doi.org/10.2349/biij.8.2.e13
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author Hamid, KA
Yusoff, AN
Rahman, MZA
Mohamad, M
Hamid, AIA
author_facet Hamid, KA
Yusoff, AN
Rahman, MZA
Mohamad, M
Hamid, AIA
author_sort Hamid, KA
collection PubMed
description PURPOSE: This fMRI study is about modelling the effective connectivity between Heschl’s gyrus (HG) and the superior temporal gyrus (STG) in human primary auditory cortices. MATERIALS & METHODS: Ten healthy male participants were required to listen to white noise stimuli during functional magnetic resonance imaging (fMRI) scans. Statistical parametric mapping (SPM) was used to generate individual and group brain activation maps. For input region determination, two intrinsic connectivity models comprising bilateral HG and STG were constructed using dynamic causal modelling (DCM). The models were estimated and inferred using DCM while Bayesian Model Selection (BMS) for group studies was used for model comparison and selection. Based on the winning model, six linear and six non-linear causal models were derived and were again estimated, inferred, and compared to obtain a model that best represents the effective connectivity between HG and the STG, balancing accuracy and complexity. RESULTS: Group results indicated significant asymmetrical activation (p(uncorr) < 0.001) in bilateral HG and STG. Model comparison results showed strong evidence of STG as the input centre. The winning model is preferred by 6 out of 10 participants. The results were supported by BMS results for group studies with the expected posterior probability, r = 0.7830 and exceedance probability, ϕ = 0.9823. One-sample t-tests performed on connection values obtained from the winning model indicated that the valid connections for the winning model are the unidirectional parallel connections from STG to bilateral HG (p < 0.05). Subsequent model comparison between linear and non-linear models using BMS prefers non-linear connection (r = 0.9160, ϕ = 1.000) from which the connectivity between STG and the ipsi- and contralateral HG is gated by the activity in STG itself. CONCLUSION: We are able to demonstrate that the effective connectivity between HG and STG while listening to white noise for the respective participants can be explained by a non-linear dynamic causal model with the activity in STG influencing the STG-HG connectivity non-linearly.
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spelling pubmed-34322592012-09-11 Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models Hamid, KA Yusoff, AN Rahman, MZA Mohamad, M Hamid, AIA Biomed Imaging Interv J Original Article PURPOSE: This fMRI study is about modelling the effective connectivity between Heschl’s gyrus (HG) and the superior temporal gyrus (STG) in human primary auditory cortices. MATERIALS & METHODS: Ten healthy male participants were required to listen to white noise stimuli during functional magnetic resonance imaging (fMRI) scans. Statistical parametric mapping (SPM) was used to generate individual and group brain activation maps. For input region determination, two intrinsic connectivity models comprising bilateral HG and STG were constructed using dynamic causal modelling (DCM). The models were estimated and inferred using DCM while Bayesian Model Selection (BMS) for group studies was used for model comparison and selection. Based on the winning model, six linear and six non-linear causal models were derived and were again estimated, inferred, and compared to obtain a model that best represents the effective connectivity between HG and the STG, balancing accuracy and complexity. RESULTS: Group results indicated significant asymmetrical activation (p(uncorr) < 0.001) in bilateral HG and STG. Model comparison results showed strong evidence of STG as the input centre. The winning model is preferred by 6 out of 10 participants. The results were supported by BMS results for group studies with the expected posterior probability, r = 0.7830 and exceedance probability, ϕ = 0.9823. One-sample t-tests performed on connection values obtained from the winning model indicated that the valid connections for the winning model are the unidirectional parallel connections from STG to bilateral HG (p < 0.05). Subsequent model comparison between linear and non-linear models using BMS prefers non-linear connection (r = 0.9160, ϕ = 1.000) from which the connectivity between STG and the ipsi- and contralateral HG is gated by the activity in STG itself. CONCLUSION: We are able to demonstrate that the effective connectivity between HG and STG while listening to white noise for the respective participants can be explained by a non-linear dynamic causal model with the activity in STG influencing the STG-HG connectivity non-linearly. Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, Malaysia 2012-04-01 /pmc/articles/PMC3432259/ /pubmed/22970069 http://dx.doi.org/10.2349/biij.8.2.e13 Text en © 2012 Biomedical Imaging and Intervention Journal http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hamid, KA
Yusoff, AN
Rahman, MZA
Mohamad, M
Hamid, AIA
Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models
title Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models
title_full Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models
title_fullStr Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models
title_full_unstemmed Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models
title_short Effective connectivity between superior temporal gyrus and Heschl’s gyrus during white noise listening: linear versus non-linear models
title_sort effective connectivity between superior temporal gyrus and heschl’s gyrus during white noise listening: linear versus non-linear models
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3432259/
https://www.ncbi.nlm.nih.gov/pubmed/22970069
http://dx.doi.org/10.2349/biij.8.2.e13
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