A voxel-wise assessment of growth differences in infants developing autism spectrum disorder
Autism Spectrum Disorder (ASD) is a phenotypically and etiologically heterogeneous developmental disorder typically diagnosed around 4 years of age. The development of biomarkers to help in earlier, presymptomatic diagnosis could facilitate earlier identification and therefore earlier intervention a...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158220303880 |
| _version_ | 1818426591242354688 |
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| author | A. Cárdenas-de-la-Parra J.D. Lewis V.S. Fonov K.N. Botteron R.C. McKinstry G. Gerig J.R. Pruett, Jr. S.R. Dager J.T. Elison M.A. Styner A.C. Evans J. Piven D.L Collins |
| author_facet | A. Cárdenas-de-la-Parra J.D. Lewis V.S. Fonov K.N. Botteron R.C. McKinstry G. Gerig J.R. Pruett, Jr. S.R. Dager J.T. Elison M.A. Styner A.C. Evans J. Piven D.L Collins |
| author_sort | A. Cárdenas-de-la-Parra |
| collection | DOAJ |
| description | Autism Spectrum Disorder (ASD) is a phenotypically and etiologically heterogeneous developmental disorder typically diagnosed around 4 years of age. The development of biomarkers to help in earlier, presymptomatic diagnosis could facilitate earlier identification and therefore earlier intervention and may lead to better outcomes, as well as providing information to help better understand the underlying mechanisms of ASD. In this study, magnetic resonance imaging (MRI) scans of infants at high familial risk, from the Infant Brain Imaging Study (IBIS), at 6, 12 and 24 months of age were included in a morphological analysis, fitting a mixed-effects model to Tensor Based Morphometry (TBM) results to obtain voxel-wise growth trajectories. Subjects were grouped by familial risk and clinical diagnosis at 2 years of age. Several regions, including the posterior cingulate gyrus, the cingulum, the fusiform gyrus, and the precentral gyrus, showed a significant effect for the interaction of group and age associated with ASD, either as an increased or a decreased growth rate of the cerebrum. In general, our results showed increased growth rate within white matter with decreased growth rate found mostly in grey matter. Overall, the regions showing increased growth rate were larger and more numerous than those with decreased growth rate. These results detail, at the voxel level, differences in brain growth trajectories in ASD during the first years of life, previously reported in terms of overall brain volume and surface area. |
| first_indexed | 2024-12-14T14:32:16Z |
| format | Article |
| id | doaj.art-f9439540c087406ca48ba106813670e9 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-14T14:32:16Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-f9439540c087406ca48ba106813670e92022-12-21T22:57:46ZengElsevierNeuroImage: Clinical2213-15822021-01-0129102551A voxel-wise assessment of growth differences in infants developing autism spectrum disorderA. Cárdenas-de-la-Parra0J.D. Lewis1V.S. Fonov2K.N. Botteron3R.C. McKinstry4G. Gerig5J.R. Pruett, Jr.6S.R. Dager7J.T. Elison8M.A. Styner9A.C. Evans10J. Piven11D.L Collins12Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, Canada; Corresponding author at: Montreal Neurological Institute, Room WB320, 3801 Rue University, Montreal, Quebec H3A 2B4, Canada.Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, CanadaMontreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, CanadaMallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USAMallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USATandon School of Engineering, New York University, New York, New York 10003, USADepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USADepartment of Radiology, University of Washington, Seattle, WA 98105, USAInstitute of Child Development, University of Minnesota, Minneapolis, MN 55455, USADepartment of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USAMontreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, CanadaDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USAMontreal Neurological Institute, McGill University, Montreal, Quebec H3A 0G4, CanadaAutism Spectrum Disorder (ASD) is a phenotypically and etiologically heterogeneous developmental disorder typically diagnosed around 4 years of age. The development of biomarkers to help in earlier, presymptomatic diagnosis could facilitate earlier identification and therefore earlier intervention and may lead to better outcomes, as well as providing information to help better understand the underlying mechanisms of ASD. In this study, magnetic resonance imaging (MRI) scans of infants at high familial risk, from the Infant Brain Imaging Study (IBIS), at 6, 12 and 24 months of age were included in a morphological analysis, fitting a mixed-effects model to Tensor Based Morphometry (TBM) results to obtain voxel-wise growth trajectories. Subjects were grouped by familial risk and clinical diagnosis at 2 years of age. Several regions, including the posterior cingulate gyrus, the cingulum, the fusiform gyrus, and the precentral gyrus, showed a significant effect for the interaction of group and age associated with ASD, either as an increased or a decreased growth rate of the cerebrum. In general, our results showed increased growth rate within white matter with decreased growth rate found mostly in grey matter. Overall, the regions showing increased growth rate were larger and more numerous than those with decreased growth rate. These results detail, at the voxel level, differences in brain growth trajectories in ASD during the first years of life, previously reported in terms of overall brain volume and surface area.http://www.sciencedirect.com/science/article/pii/S2213158220303880Autism spectrum disorderNeurodevelopmental disordersTensor based morphometryLongitudinal neuroimaging |
| spellingShingle | A. Cárdenas-de-la-Parra J.D. Lewis V.S. Fonov K.N. Botteron R.C. McKinstry G. Gerig J.R. Pruett, Jr. S.R. Dager J.T. Elison M.A. Styner A.C. Evans J. Piven D.L Collins A voxel-wise assessment of growth differences in infants developing autism spectrum disorder NeuroImage: Clinical Autism spectrum disorder Neurodevelopmental disorders Tensor based morphometry Longitudinal neuroimaging |
| title | A voxel-wise assessment of growth differences in infants developing autism spectrum disorder |
| title_full | A voxel-wise assessment of growth differences in infants developing autism spectrum disorder |
| title_fullStr | A voxel-wise assessment of growth differences in infants developing autism spectrum disorder |
| title_full_unstemmed | A voxel-wise assessment of growth differences in infants developing autism spectrum disorder |
| title_short | A voxel-wise assessment of growth differences in infants developing autism spectrum disorder |
| title_sort | voxel wise assessment of growth differences in infants developing autism spectrum disorder |
| topic | Autism spectrum disorder Neurodevelopmental disorders Tensor based morphometry Longitudinal neuroimaging |
| url | http://www.sciencedirect.com/science/article/pii/S2213158220303880 |
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