Disentangling the role of gray matter volume and concentration in autism spectrum disorder A meta-analytic investigation of 25 years of voxel-based morphometry research /
Despite over two decades of neuroimaging research, a unanimous definition of the pattern of structural variation associated with autism spectrum disorder (ASD) has yet to be found. One potential impeding issue could be the sometimes ambiguous use of measurements of variations in gray matter volume (...
Elmentve itt :
| Szerzők: | |
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2024
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| Sorozat: | NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
164 |
| Tárgyszavak: | |
| doi: | 10.1016/j.neubiorev.2024.105791 |
| mtmt: | 35247918 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/38715 |
| Tartalmi kivonat: | Despite over two decades of neuroimaging research, a unanimous definition of the pattern of structural variation associated with autism spectrum disorder (ASD) has yet to be found. One potential impeding issue could be the sometimes ambiguous use of measurements of variations in gray matter volume (GMV) or gray matter concentration (GMC). In fact, while both can be calculated using voxel-based morphometry analysis, these may reflect different underlying pathological mechanisms. We conducted a coordinate-based meta-analysis, keeping apart GMV and GMC studies of subjects with ASD. Results showed distinct and non-overlapping patterns for the two measures. GMV decreases were evident in the cerebellum, while GMC decreases were mainly found in the temporal and frontal regions. GMV increases were found in the parietal, temporal, and frontal brain regions, while GMC increases were observed in the anterior cingulate cortex and middle frontal gyrus. Age-stratified analyses suggested that such variations are dynamic across the ASD lifespan. The present findings emphasize the importance of considering GMV and GMC as distinct yet synergistic indices in autism research. © 2024 The Authors |
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| Terjedelem/Fizikai jellemzők: | 20 |
| ISSN: | 0149-7634 |