Hemispheric lateralization of white matter microstructure in children and its potential role in sensory processing dysfunction.
Autor: | Parekh SA; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States., Wren-Jarvis J; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States., Lazerwitz M; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States.; Cortica Healthcare, San Rafael, CA, United States., Rowe MA; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States., Powers R; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States.; Cortica Healthcare, San Rafael, CA, United States., Bourla I; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States., Cai LT; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States., Chu R; Cortica Healthcare, San Rafael, CA, United States., Trimarchi K; Cortica Healthcare, San Rafael, CA, United States., Garcia R; Cortica Healthcare, San Rafael, CA, United States., Marco EJ; Cortica Healthcare, San Rafael, CA, United States., Mukherjee P; Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in neuroscience [Front Neurosci] 2023 Apr 17; Vol. 17, pp. 1088052. Date of Electronic Publication: 2023 Apr 17 (Print Publication: 2023). |
DOI: | 10.3389/fnins.2023.1088052 |
Abstrakt: | Diffusion tensor imaging (DTI) studies have demonstrated white matter microstructural differences between the left and right hemispheres of the brain. However, the basis of these hemispheric asymmetries is not yet understood in terms of the biophysical properties of white matter microstructure, especially in children. There are reports of altered hemispheric white matter lateralization in ASD; however, this has not been studied in other related neurodevelopmental disorders such as sensory processing disorder (SPD). Firstly, we postulate that biophysical compartment modeling of diffusion MRI (dMRI), such as Neurite Orientation Dispersion and Density Imaging (NODDI), can elucidate the hemispheric microstructural asymmetries observed from DTI in children with neurodevelopmental concerns. Secondly, we hypothesize that sensory over-responsivity (SOR), a common type of SPD, will show altered hemispheric lateralization relative to children without SOR. Eighty-seven children (29 females, 58 males), ages 8-12 years, presenting at a community-based neurodevelopmental clinic were enrolled, 48 with SOR and 39 without. Participants were evaluated using the Sensory Processing 3 Dimensions (SP3D). Whole brain 3 T multi-shell multiband dMRI ( b = 0, 1,000, 2,500 s/mm 2 ) was performed. Tract Based Spatial Statistics were used to extract DTI and NODDI metrics from 20 bilateral tracts of the Johns Hopkins University White-Matter Tractography Atlas and the lateralization Index (LI) was calculated for each left-right tract pair. With DTI metrics, 12 of 20 tracts were left lateralized for fractional anisotropy and 17/20 tracts were right lateralized for axial diffusivity. These hemispheric asymmetries could be explained by NODDI metrics, including neurite density index (18/20 tracts left lateralized), orientation dispersion index (15/20 tracts left lateralized) and free water fraction (16/20 tracts lateralized). Children with SOR served as a test case of the utility of studying LI in neurodevelopmental disorders. Our data demonstrated increased lateralization in several tracts for both DTI and NODDI metrics in children with SOR, which were distinct for males versus females, when compared to children without SOR. Biophysical properties from NODDI can explain the hemispheric lateralization of white matter microstructure in children. As a patient-specific ratio, the lateralization index can eliminate scanner-related and inter-individual sources of variability and thus potentially serve as a clinically useful imaging biomarker for neurodevelopmental disorders. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Parekh, Wren-Jarvis, Lazerwitz, Rowe, Powers, Bourla, Cai, Chu, Trimarchi, Garcia, Marco and Mukherjee.) |
Databáze: | MEDLINE |
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