Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation
The latest advancements in neuroimaging techniques have contributed to studying the disordered human brain, but still, there is a lack of disease-specific brain reference to localise brain seeds and standardise the comparison across studies. The current study first evaluates the inter-subject consis...
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Online Access: | https://repo.uum.edu.my/id/eprint/31276/1/JICT%2023%2002%202024%20335-359.pdf https://doi.org/10.32890/jict2024.23.2.6 https://repo.uum.edu.my/id/eprint/31276/ https://e-journal.uum.edu.my/index.php/jict/article/view/23327 https://doi.org/10.32890/jict2024.23.2.6 |
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my.uum.repo.312762024-08-14T06:40:46Z https://repo.uum.edu.my/id/eprint/31276/ Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation Al-Ubaidi, Dalia Abdulhadi Abu Samah, Azurah Jasim, Mahdi Nsaif QA Mathematics The latest advancements in neuroimaging techniques have contributed to studying the disordered human brain, but still, there is a lack of disease-specific brain reference to localise brain seeds and standardise the comparison across studies. The current study first evaluates the inter-subject consistency across Attention-Deficit/ Hyperactivity Disorder (ADHD) in a publicly accessible resting-state functional magnetic resonance imaging (RS-fMRI) ADHD-200 dataset by proposing a new voxels similarity index (VSI) that integrates both inter-atlases flexibility (F`) from previous studies with proposed intersubjects stability (S`) measure to improve outcomes. Secondly, the study employs a dual-layer clustering-based parcellation strategy inspired by the resultant improved Master Atlas networks to examine the ADHD cerebral cortex. The suggested approach to enhancing the ADHD cortex parcellation uses spectral clustering for global structure identification, followed by hierarchical clustering for local refinements and granularity specification. The final connectivitydriven brain reference achieved an average homogeneity of 0.63, and the enhanced Master Atlas with (S’) achieved 0.35 homogeneity, surpassing the original Master Atlas with 0.27. This discovery implies that the final brain reference offers a more accurate and reliable framework to examine the connections and functions of the brain in individuals with ADHD Universiti Utara Malaysia Press 2024 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/31276/1/JICT%2023%2002%202024%20335-359.pdf Al-Ubaidi, Dalia Abdulhadi and Abu Samah, Azurah and Jasim, Mahdi Nsaif (2024) Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation. Journal of ICT, 23 (2). pp. 335-359. ISSN 1675-414X https://e-journal.uum.edu.my/index.php/jict/article/view/23327 https://doi.org/10.32890/jict2024.23.2.6 https://doi.org/10.32890/jict2024.23.2.6 |
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QA Mathematics Al-Ubaidi, Dalia Abdulhadi Abu Samah, Azurah Jasim, Mahdi Nsaif Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation |
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The latest advancements in neuroimaging techniques have contributed to studying the disordered human brain, but still, there is a lack of disease-specific brain reference to localise brain seeds and standardise the comparison across studies. The current study first evaluates the inter-subject consistency across Attention-Deficit/ Hyperactivity Disorder (ADHD) in a publicly accessible resting-state functional magnetic resonance imaging (RS-fMRI) ADHD-200 dataset by proposing a new voxels similarity index (VSI) that integrates both inter-atlases flexibility (F`) from previous studies with proposed intersubjects stability (S`) measure to improve outcomes. Secondly, the study employs a dual-layer clustering-based parcellation strategy inspired by the resultant improved Master Atlas networks to examine the ADHD cerebral cortex. The suggested approach to enhancing the ADHD cortex parcellation uses spectral clustering for global structure identification, followed by hierarchical clustering for local refinements and granularity specification. The final connectivitydriven brain reference achieved an average homogeneity of 0.63, and the enhanced Master Atlas with (S’) achieved 0.35 homogeneity, surpassing the original Master Atlas with 0.27. This discovery implies that the final brain reference offers a more accurate and reliable framework to examine the connections and functions of the brain in individuals with ADHD |
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Article |
author |
Al-Ubaidi, Dalia Abdulhadi Abu Samah, Azurah Jasim, Mahdi Nsaif |
author_facet |
Al-Ubaidi, Dalia Abdulhadi Abu Samah, Azurah Jasim, Mahdi Nsaif |
author_sort |
Al-Ubaidi, Dalia Abdulhadi |
title |
Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation |
title_short |
Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation |
title_full |
Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation |
title_fullStr |
Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation |
title_full_unstemmed |
Attention-Deficit/ Hyperactivity Disorder Brain Functional Reference: Introducing an Inter-subject Consistency Measure and Dual-layer Parcellation |
title_sort |
attention-deficit/ hyperactivity disorder brain functional reference: introducing an inter-subject consistency measure and dual-layer parcellation |
publisher |
Universiti Utara Malaysia Press |
publishDate |
2024 |
url |
https://repo.uum.edu.my/id/eprint/31276/1/JICT%2023%2002%202024%20335-359.pdf https://doi.org/10.32890/jict2024.23.2.6 https://repo.uum.edu.my/id/eprint/31276/ https://e-journal.uum.edu.my/index.php/jict/article/view/23327 https://doi.org/10.32890/jict2024.23.2.6 |
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