Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia

Background: Growing evidence of neuroimaging has indicated brain microstructural abnormalities in comitant strabismus. Nonetheless, few studies have investigated neuropathological alterations in patients with intermittent exotropia (IXT). This study aimed at examining the characteristics of brain mi...

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Main Authors: Jianlin Guo, Leqing Zhou, Ying Wang, Di Hu, Yanqiu Lv, Huiying Kang, Li Li, Yun Peng
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Brain Research Bulletin
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Online Access:http://www.sciencedirect.com/science/article/pii/S0361923024002478
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author Jianlin Guo
Leqing Zhou
Ying Wang
Di Hu
Yanqiu Lv
Huiying Kang
Li Li
Yun Peng
author_facet Jianlin Guo
Leqing Zhou
Ying Wang
Di Hu
Yanqiu Lv
Huiying Kang
Li Li
Yun Peng
author_sort Jianlin Guo
collection DOAJ
description Background: Growing evidence of neuroimaging has indicated brain microstructural abnormalities in comitant strabismus. Nonetheless, few studies have investigated neuropathological alterations in patients with intermittent exotropia (IXT). This study aimed at examining the characteristics of brain microstructure along major fiber tracts in IXT patients using an automated fiber quantification analysis. Methods: A total of 25 patients with IXT as well as 25 healthy participants matched for age and gender finished the diffusion tensor imaging scanning and the ophthalmic examination. Automated fiber quantification analysis of 20 major fiber tracts was carried out for IXT patients and healthy subjects, respectively. Diffusion metrics of 100 equidistant nodes resampled along each tract were measured for every subject and compared between two groups. Effect size analysis was performed to identify the most affected fiber tracts in IXT. Results: Widely declined mean diffusivity was noted in IXT along major tracts containing bilateral thalamic radiations, bilateral corticospinal fasciculi, bilateral cingulum cingulate, left inferior fronto-occipital fasciculus, right arcuate fasciculus and superior longitudinal fasciculus. Local reduction in fractional anisotropy was observed in IXT along left cingulum hippocampus, right inferior longitudinal fasciculus and right uncinate fasciculus, in contrast to the regionally increased fractional anisotropy along bilateral thalamic radiation, left corticospinal tract and left arcuate fasciculus. Among the tracts with significantly changed diffusion metrics in IXT, right inferior longitudinal fasciculus was the most affected one in fractional anisotropy while left thalamic radiation was the most influenced one in mean diffusivity. Conclusions: Abnormalities in microstructural properties along visual-related fiber tracts are likely to contribute to difficulties in visual information processing in IXT patients, which could serve as the neural basis of underlying pathological mechanism of IXT.
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spelling doaj-art-cb9d2a5aab924c06a9db06dcf34f4b8d2025-08-20T02:27:46ZengElsevierBrain Research Bulletin1873-27472024-12-0121911111310.1016/j.brainresbull.2024.111113Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropiaJianlin Guo0Leqing Zhou1Ying Wang2Di Hu3Yanqiu Lv4Huiying Kang5Li Li6Yun Peng7Department of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, ChinaSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, ChinaDepartment of Ophthalmology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, ChinaDepartment of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, ChinaDepartment of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, ChinaDepartment of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, ChinaDepartment of Ophthalmology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China; Corresponding authors.Department of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China; Corresponding authors.Background: Growing evidence of neuroimaging has indicated brain microstructural abnormalities in comitant strabismus. Nonetheless, few studies have investigated neuropathological alterations in patients with intermittent exotropia (IXT). This study aimed at examining the characteristics of brain microstructure along major fiber tracts in IXT patients using an automated fiber quantification analysis. Methods: A total of 25 patients with IXT as well as 25 healthy participants matched for age and gender finished the diffusion tensor imaging scanning and the ophthalmic examination. Automated fiber quantification analysis of 20 major fiber tracts was carried out for IXT patients and healthy subjects, respectively. Diffusion metrics of 100 equidistant nodes resampled along each tract were measured for every subject and compared between two groups. Effect size analysis was performed to identify the most affected fiber tracts in IXT. Results: Widely declined mean diffusivity was noted in IXT along major tracts containing bilateral thalamic radiations, bilateral corticospinal fasciculi, bilateral cingulum cingulate, left inferior fronto-occipital fasciculus, right arcuate fasciculus and superior longitudinal fasciculus. Local reduction in fractional anisotropy was observed in IXT along left cingulum hippocampus, right inferior longitudinal fasciculus and right uncinate fasciculus, in contrast to the regionally increased fractional anisotropy along bilateral thalamic radiation, left corticospinal tract and left arcuate fasciculus. Among the tracts with significantly changed diffusion metrics in IXT, right inferior longitudinal fasciculus was the most affected one in fractional anisotropy while left thalamic radiation was the most influenced one in mean diffusivity. Conclusions: Abnormalities in microstructural properties along visual-related fiber tracts are likely to contribute to difficulties in visual information processing in IXT patients, which could serve as the neural basis of underlying pathological mechanism of IXT.http://www.sciencedirect.com/science/article/pii/S0361923024002478Intermittent exotropiaAutomated fiber quantificationFractional anisotropyMean diffusivity
spellingShingle Jianlin Guo
Leqing Zhou
Ying Wang
Di Hu
Yanqiu Lv
Huiying Kang
Li Li
Yun Peng
Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia
Brain Research Bulletin
Intermittent exotropia
Automated fiber quantification
Fractional anisotropy
Mean diffusivity
title Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia
title_full Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia
title_fullStr Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia
title_full_unstemmed Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia
title_short Automated fiber quantification analysis identifies tract-specific microstructural alterations in brain in intermittent exotropia
title_sort automated fiber quantification analysis identifies tract specific microstructural alterations in brain in intermittent exotropia
topic Intermittent exotropia
Automated fiber quantification
Fractional anisotropy
Mean diffusivity
url http://www.sciencedirect.com/science/article/pii/S0361923024002478
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