Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data

Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data Publisher Pubmed

Tavakoli H¹ ; Rostami R² ; Nazemzadeh MR^{3, 4}

Show Affiliations

1. Institute of Cognitive Science Studies, Computational and Artificial Intelligence Department, Tehran, Iran
2. University of Tehran, Department of Psychology, Iran
3. Tehran University of Medical Sciences, Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran, Iran
4. Monash University, Department of Neuroscience, Melbourne, VIC, Australia

Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS Published:2023

Abstract

The evaluation and diagnosis of structural changes in brain caused by disease or treatment over time has become one of the important applications of medical imaging methods, in particular MRI, and it is growing. It is critical to evaluate the reliability of the changes in measurements observed in an individual patient for any clinical decision-making. In this paper, we calculated the repeatability coefficient (RC) as a measure of uncertainty for MRI measurements of subcortical volumes and cortical thickness, and within-network connectivity using test-retest data of 20 healthy subjects. We also evaluated changes in 13 patients who received 20 sessions of transcranial magnetic stimulation as a treatment. The most reliable measure seems to be in the thickness of the left occipital with RC% of 3.5 and the least reliable measure is the brain connectivity within visual network using Yeo's atlas with RC% of 29.4. The most sensitive measure to the percentage of true changes in treated patients is the connectivity within subcortical network of AAL with 76.9%.Clinical Relevance - The results of this study can be useful for evaluating changes in the gray matter structures or functional connectivity of the brain due to a neurological disease such as Alzheimer's or Parkinson's. Also, the obtained results can be used to evaluate the changes caused by any intervention or treatment that may have any positive or negative effect on the brain. © 2023 IEEE.

2. Distinct Patterns of Hippocampal Subfield Volume Loss in Left and Right Mesial Temporal Lobe Epilepsy, Neurological Sciences (2021)

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Mohammadreza Nazemzadeh (2)

Style	Citing Format
MLA	Tavakoli H, Rostami R, Nazemzadeh MR. "Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS, vol. , no. , 2023, pp. -.
APA	Tavakoli H, Rostami R, Nazemzadeh MR (2023). Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS, (), -.
Chicago	Tavakoli H, Rostami R, Nazemzadeh MR. "Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS , no. (2023): -.
Harvard	Tavakoli H, Rostami R, Nazemzadeh MR (2023) 'Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS, (), pp. -.
Vancouver	Tavakoli H, Rostami R, Nazemzadeh MR. Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS. 2023;():-.
BibTex	@article{ author = {Tavakoli H and Rostami R and Nazemzadeh MR}, title = {Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data}, journal = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS}, volume = {}, number = {}, pages = {-}, year = {2023} }
RIS	TY - JOUR AU - Tavakoli H AU - Rostami R AU - Nazemzadeh MR TI - Assessments of Variability in Cortical and Subcortical Measurements and Within-Network Connectivity of the Brain Using Test-Retest Data JO - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS VL - IS - SP - EP - PY - 2023 ER -

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