Mapping Cortical Atrophy in Parkinson's Disease Patients with Dementia
Year: 2013
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Cognitive impairment is very common in patients with Parkinson's disease (PD). Brain changes accompanying cognitive decline in PD are still not fully established. METHODS: We applied cortical pattern matching and cortical thickness analyses to the three-dimensional T1-weighted brain MRI scans of 14 age-matched cognitively normal elderly (NC), 12 cognitively normal PD (PDC), and 11 PD dementia (PDD) subjects. We used linear regression models to investigate the effect of diagnosis on cortical thickness. All maps were adjusted for multiple comparisons using permutation testing with a threshold p < 0.01. RESULTS: PDD showed significantly thinner bilateral sensorimotor, perisylvian, lateral parietal, as well as right posterior cingulate, parieto-occipital, inferior temporal and lateral frontal cortices relative to NC (left p(corrected) = 0.06, right p(corrected) = 0.009). PDD showed significantly thinner bilateral sensorimotor, right frontal and right parietal-occipital cortices relative to PDC (right p(corrected) = 0.05). The absolute difference in cortical thickness between PDD and the other diagnostic groups ranged from 3% to 19%. CONCLUSION: Our data shows that cognitive decline in PD is associated with cortical atrophy. PDD subjects have the most widespread gray matter atrophy suggesting more cortical involvement as PD patients progress to dementia.
Source: Journal of Parkinson s Disease
DOI: 10.3233/jpd-120151
Authors: Kristy S. Hwang, Mona K. Beyer, Amity E. Green, Christine Chung, Paul M. Thompson, Carmen Janvin, Jan P. Larsen, Dag Aarsland, Liana G. Apostolova
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: Parkinson Research Foundation, Eli Lilly and Company, H. Lundbeck A/S, U.S. Public Health Service, Parkinsonfonden, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine, National Center for Research Resources
Awards: Structural MRI outcome predictors in MCI, Computational Anatomy and Multidimensional Modeling, G3144332122, Novel PDEs for Cortical Mapping and Analysis in Disease, G3779224971, UCLA Alzheimer's Disease Research Center, A Multidimensional Alzheimer's Disease Brain Atlas, Collaborative Brain Mapping: Tools for Sharing, Center for Computational Biology (CCB)(RMI), G5150987797, G5496704711, G5948792615, G7786274625, G852434093
OpenAlex ID: W1508253508