Increasing neuroimaging studies have attempted to identify biomarkers of Huntington's disease (HD) progression. Here, we conducted voxel-based meta-analyses of voxel-based morphometry (VBM) studies on HD to investigate the evolution of gray matter volume (GMV) alterations and explore the effects of genetic and clinical features on GMV changes. A systematic review was performed to identify the relevant studies. Meta-analyses of whole-brain VBM studies were performed to assess the regional GMV changes in all HD mutation carriers, in presymptomatic HD (pre-HD), and in symptomatic HD (sym-HD). A quantitative comparison was performed between pre-HD and sym-HD. Meta-regression analyses were used to explore the effects of genetic and clinical features on GMV changes. Twenty-eight studies were included, comparing a total of 1811 HD mutation carriers [including 1150 pre-HD and 560 sym-HD] and 969 healthy controls (HCs). Pre-HD showed decreased GMV in the bilateral caudate nuclei, putamen, insula, anterior cingulate/paracingulate gyri, middle temporal gyri, and left dorsolateral superior frontal gyrus compared with HCs. Compared with pre-HD, GMV decrease in sym-HD extended to the bilateral median cingulate/paracingulate gyri, Rolandic operculum and middle occipital gyri, left amygdala, and superior temporal gyrus. Meta-regression analyses found that age, mean lengths of CAG repeats, and disease burden were negatively associated with GMV atrophy of the bilateral caudate and right insula in all HD mutation carriers. This meta-analysis revealed the pattern of GMV changes from pre-HD to sym-HD, prompting the understanding of HD progression. The pattern of GMV changes may be biomarkers for disease progression in HD.
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Neuroimage Clin
January 2025
Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China. Electronic address:
Patients with chronic subcortical stroke undergo regional and network morphometric reorganizations beyond the lesion site, but the interplay between network and regional reorganization remains poorly understood. We aimed to clarify the reorganization patterns of the individualized differential structural covariance networks (IDSCN) in chronic subcortical stroke and investigate their associations with regional gray matter volume (GMV) changes and functional recovery. Structural MRI from four datasets enrolled 112 patients with chronic subcortical stroke (81 male, age: 55.
View Article and Find Full Text PDFHealth Serv Res
January 2025
Department of Epidemiology and Population Health, Stanford University, Palo Alto, California, USA.
Objective: To assess mental health related outcomes of Recipe4Health, a multisectoral social care partnership implementing produce prescriptions with or without group medical visits (GMVs).
Study Setting And Design: Recipe4Health was implemented at five community health centers from 2020 to 2023. Primary care teams referred patients with food insecurity and/or nutrition-sensitive chronic conditions (e.
Geriatr Gerontol Int
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Department of Prevention Medicine for Locomotive Organ Disorders, 22nd Century Medical and Research Center, The University of Tokyo, Tokyo, Japan.
Aim: This study aims to investigate the impact of aging on brain volume among community residents in Japan, focusing on trends over time and specific brain structures.
Methods: We analyzed data from the fourth survey (2015-2016) of the Research on Osteoarthritis/Osteoporosis Against Disability project, encompassing 2146 community residents from Japan's mountainous and coastal regions. A total of 1755 participants (81.
Appl Neuropsychol Adult
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Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Introduction: This study investigated the cortical and subcortical gray matter volume (GMV) and cognitive impairment (CI) in patients with Parkinson's disease (PD).
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Quant Imaging Med Surg
December 2024
School of Life Science and Technology, Xidian University, Xi'an, China.
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