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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
Published on: November 27, 2019
Gray matter atrophy and structural connectivity in Posterior Cortical Atrophy: A voxel-based meta-analysis
Daniele Licciardo1, Chiara Matti2, Alberto Benelli3
1School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Precision Neuromodulation Program & Network Control Laboratory, Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Posterior Cortical Atrophy (PCA) involves progressive visual decline and brain atrophy, particularly in occipital and parietal regions. This meta-analysis reveals key gray and white matter changes, offering potential imaging biomarkers for diagnosis.
Area of Science:
- Neuroscience
- Radiology
- Neurology
Background:
- Posterior Cortical Atrophy (PCA) is a neurodegenerative syndrome often linked to Alzheimer's disease, causing progressive visuospatial and visuoperceptual deficits.
- Existing voxel-based morphometry studies show gray matter loss in PCA, but a comprehensive meta-analysis and understanding of structural connectivity alterations are lacking.
Purpose of the Study:
- To conduct a systematic review and coordinate-based meta-analysis of voxel-based morphometry studies in Posterior Cortical Atrophy (PCA).
- To investigate structural connectivity alterations associated with gray matter atrophy in PCA using diffusion MRI tractography.
- To provide a statistically robust characterization of brain alterations in PCA following consensus diagnostic criteria.
Main Methods:
- Systematic review and voxel-based meta-analysis of 18 studies (339 PCA patients; 577 controls) using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI).
- Meta-regression analyses to explore the influence of demographic and clinical variables on atrophy patterns.
- Deterministic tractography on a normative diffusion MRI template, using meta-analytic gray matter clusters as seeds to assess white matter integrity.
Main Results:
- Meta-analysis identified significant bilateral gray matter atrophy in the lateral occipital cortex, inferior parietal lobule, precuneus, and ventral occipitotemporal regions in PCA patients.
- Meta-regression revealed an interaction between age and disease duration impacting atrophy in the left superior temporal gyrus and right thalamus.
- Tractography showed affected gray matter clusters were part of major white matter pathways, including the superior/inferior longitudinal fasciculi, vertical occipital fasciculi, and parietal aslant tract.
Conclusions:
- This study provides the first comprehensive meta-analysis of PCA brain alterations post-consensus criteria, detailing gray matter atrophy patterns.
- Structural connectivity analysis highlights PCA's impact on key long-range white matter tracts.
- Findings offer potential imaging biomarkers for PCA diagnosis and therapeutic target identification.
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