Regional gray matter reductions associated with mild cognitive impairment in Parkinson's disease: A meta-analysis of voxel-based morphometry studies.

Regional gray matter reductions associated with mild cognitive impairment in Parkinson's disease: A meta-analysis of voxel-based morphometry studies. Behav Brain Res. 2019 May 22;:111973 Authors: Zheng D, Chen C, Song W, Yi Z, Zhao P, Zhong J, Dai Z, Shi H, Pan P Abstract Mild cognitive impairment (MCI) is inconclusively associated with regional gray matter (GM) abnormalities in Parkinson's disease (PD). We aimed to quantitatively evaluate whole-brain voxel-based morphometry (VBM) studies that have investigated brain GM changes in PD patients with MCI (PD-MCI). Seed-based d Mapping, a well-validated coordinate-based meta-analytic approach, was utilized. We included 20 VBM studies that reported 22 datasets containing 504 patients with PD-MCI and 554 PD patients without MCI (PD-NCI). The most reliable finding identified in this meta-analysis was that patients with PD-MCI exhibited greater GM atrophy in the left anterior insula than those with PD-NCI. Our findings further suggest that several moderators (age, gender, educational level, disease stage, severity of motor disability, and the severity of cognitive impairments) in PD-MCI individuals, as well as scanner field-strength, may drive heterogeneous GM changes across studies. GM abnormalities in the anterior insula, an important cognitive hub involved in switching between neural networks, contribute to understanding the neural substrates of MCI in PD, which may serve as a biomarker of PD-MCI. PMID: ...
Source: Behavioural Brain Research - Category: Neurology Authors: Tags: Behav Brain Res Source Type: research

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Source: Fight Aging! - Category: Research Authors: Tags: Newsletters Source Type: blogs
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Source: Fight Aging! - Category: Research Authors: Tags: Newsletters Source Type: blogs
AbstractPurpose of ReviewWhilst gait impairment is a main cause for disability in Parkinson ’s disease (PD), its neural control remains poorly understood. We performed a systematic review and meta-analysis of neuroimaging studies of surrogate features of gait in PD.FindingsAssessing the results from PET or SPECT scans after a period of actual walking as well as fMRI during mental imagery or virtual reality (VR) gait paradigms, we found a varying pattern of gait-related brain activity. Overall, a decrease in activation of the SMA during gait was found in PD compared to elderly controls. In addition, the meta-analysis ...
Source: Current Neurology and Neuroscience Reports - Category: Neuroscience Source Type: research
Nagore Elu1, Nerea Osinalde2, Javier Beaskoetxea1, Juanma Ramirez1, Benoit Lectez1, Kerman Aloria3, Jose Antonio Rodriguez4, Jesus M. Arizmendi1 and Ugo Mayor1,5* 1Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain 2Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain 3Proteomics Core Facility-SGIKER, University of the Basque Country (UPV/EHU), Leioa, Spain 4Department of Genetics, Physical Anthropology and Animal Physiology, University of ...
Source: Frontiers in Physiology - Category: Physiology Source Type: research
Conclusion: Genetic associations of diseases considerably vary across populations which necessitates health-related genotyping efforts especially for so far understudied populations. SOM portrayal represents novel promising methods in population genetic research with special strength in visualization-based comparison of SNP data. Introduction Non-communicable polygenic diseases such as cancers, neurodegeneration, cardiovascular, and metabolic disorders have become the most prevalent type worldwide and account for the majority of death events in developed and transition economy countries (Habib and Saha, 2010; Benzi...
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Source: Frontiers in Neurology - Category: Neurology Source Type: research
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Source: Frontiers in Neurology - Category: Neurology Source Type: research
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Source: Frontiers in Neurology - Category: Neurology Source Type: research
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Source: Frontiers in Psychiatry - Category: Psychiatry Source Type: research
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