Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres

Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres

Inferior parietal lobule (IPL) and inferior temporal gyrus (ITG) are two important brain regions for the default mode network (DMN). IPL has been known to be involved in the control of attention and responding to given information while ITG is involved in the processing and perception awakened by vi...

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Main Authors: Ahmad Nazlim Yusoff, Khairiah Abdul Hamid, Saemah Rahman, Syazarina Sharis Osman, Shahlan Surat, Maziah Ahmad Marzuki
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/12235/
http://journalarticle.ukm.my/12235/
http://journalarticle.ukm.my/12235/1/23139-76546-1-PB.pdf
id ukm-12235
recordtype eprints
spelling ukm-122352018-10-19T21:14:04Z http://journalarticle.ukm.my/12235/ Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres Ahmad Nazlim Yusoff, Khairiah Abdul Hamid, Saemah Rahman, Syazarina Sharis Osman, Shahlan Surat, Maziah Ahmad Marzuki, Inferior parietal lobule (IPL) and inferior temporal gyrus (ITG) are two important brain regions for the default mode network (DMN). IPL has been known to be involved in the control of attention and responding to given information while ITG is involved in the processing and perception awakened by visual stimuli. These two key DMN regions are highly interconnected as determined from white matter and fiber tracking studies. However, little is known about their nature of connectivity while the brain is at rest, whether it is linear, bilinear or nonlinear and whether it is of mono- or bi-direction. Resting state functional magnetic resonance imaging (rsfMRI) data were obtained from 7 healthy male and female participants (average age = 20.7 ± 4.5 years) and were concatenated. Data were analyzed using statistical parametric mapping (SPM12). Endogenous brain signals were modelled by Fourier series at 0.01 – 0.08 Hz. IPL-ITG connected linear, bilinear and non-linear causal models in both hemispheres were constructed and estimated by means of stochastic dynamic causal modelling (sDCM) and were compared using Bayesian Model Selection (BMS) for group studies. Group fixed-effects results indicated that bilateral IPL and ITG exhibited high neural activity at a corrected significant level (pFWE < 0.05). Neural activity was centered in ITG (-32/2/-38) in the left hemisphere but shifted to IPL (32/-38/50) in the right hemisphere indicating different control center for both hemispheres. BMS selected bilinear model as the optimal model for both hemispheres (model posterior probability ~ 1.0; log evidence > 1000) which has the best balance between model accuracy and difficulty. The minimum free energy (F) = -4.41 × 104 and -4.09 × 104 for left and right hemisphere bilinear models respectively. From BMS and DCM results, it was found that IPL and ITG do have a dynamic collaboration between each other, a connectivity that belongs to a greater network when the brain is at rest. The intrinsic connections between them are negative in both directions i.e. IPL and ITG mutually inhibited each other. The effective connectivity was modulated by the endogenous fluctuation of the brain signal. Penerbit Universiti Kebangsaan Malaysia 2018 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12235/1/23139-76546-1-PB.pdf Ahmad Nazlim Yusoff, and Khairiah Abdul Hamid, and Saemah Rahman, and Syazarina Sharis Osman, and Shahlan Surat, and Maziah Ahmad Marzuki, (2018) Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres. Jurnal Sains Kesihatan Malaysia, 16 (2). pp. 101-111. ISSN 1675-8161 http://ejournal.ukm.my/jskm/issue/view/685
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description Inferior parietal lobule (IPL) and inferior temporal gyrus (ITG) are two important brain regions for the default mode network (DMN). IPL has been known to be involved in the control of attention and responding to given information while ITG is involved in the processing and perception awakened by visual stimuli. These two key DMN regions are highly interconnected as determined from white matter and fiber tracking studies. However, little is known about their nature of connectivity while the brain is at rest, whether it is linear, bilinear or nonlinear and whether it is of mono- or bi-direction. Resting state functional magnetic resonance imaging (rsfMRI) data were obtained from 7 healthy male and female participants (average age = 20.7 ± 4.5 years) and were concatenated. Data were analyzed using statistical parametric mapping (SPM12). Endogenous brain signals were modelled by Fourier series at 0.01 – 0.08 Hz. IPL-ITG connected linear, bilinear and non-linear causal models in both hemispheres were constructed and estimated by means of stochastic dynamic causal modelling (sDCM) and were compared using Bayesian Model Selection (BMS) for group studies. Group fixed-effects results indicated that bilateral IPL and ITG exhibited high neural activity at a corrected significant level (pFWE < 0.05). Neural activity was centered in ITG (-32/2/-38) in the left hemisphere but shifted to IPL (32/-38/50) in the right hemisphere indicating different control center for both hemispheres. BMS selected bilinear model as the optimal model for both hemispheres (model posterior probability ~ 1.0; log evidence > 1000) which has the best balance between model accuracy and difficulty. The minimum free energy (F) = -4.41 × 104 and -4.09 × 104 for left and right hemisphere bilinear models respectively. From BMS and DCM results, it was found that IPL and ITG do have a dynamic collaboration between each other, a connectivity that belongs to a greater network when the brain is at rest. The intrinsic connections between them are negative in both directions i.e. IPL and ITG mutually inhibited each other. The effective connectivity was modulated by the endogenous fluctuation of the brain signal.
format Article
author Ahmad Nazlim Yusoff,
Khairiah Abdul Hamid,
Saemah Rahman,
Syazarina Sharis Osman,
Shahlan Surat,
Maziah Ahmad Marzuki,
spellingShingle Ahmad Nazlim Yusoff,
Khairiah Abdul Hamid,
Saemah Rahman,
Syazarina Sharis Osman,
Shahlan Surat,
Maziah Ahmad Marzuki,
Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres
author_facet Ahmad Nazlim Yusoff,
Khairiah Abdul Hamid,
Saemah Rahman,
Syazarina Sharis Osman,
Shahlan Surat,
Maziah Ahmad Marzuki,
author_sort Ahmad Nazlim Yusoff,
title Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres
title_short Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres
title_full Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres
title_fullStr Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres
title_full_unstemmed Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres
title_sort resting state effective connectivity between inferior parietal lobe (ipl) and inferior temporal gyrus (itg) in the left and right hemispheres
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://journalarticle.ukm.my/12235/
http://journalarticle.ukm.my/12235/
http://journalarticle.ukm.my/12235/1/23139-76546-1-PB.pdf
first_indexed 2023-09-18T20:02:09Z
last_indexed 2023-09-18T20:02:09Z
_version_ 1777406920323235840

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