Literature DB >> 29729620

Volumetric brain analysis as a predictor of a worse cognitive outcome in Parkinson's disease.

Luiz Felipe Vasconcellos1, João Santos Pereira2, Marcelo Adachi3, Denise Greca4, Manuela Cruz4, Ana Lara Malak4, Helenice Charchat-Fichman4.   

Abstract

Cognitive impairment in Parkinson's disease (PD) results in significant morbidity and mortality being early diagnosis essential. Identification of patients who are at higher risk of developing cognitive impairment based only on clinical data is not sufficient. To this end, magnetic resonance imaging (MRI) with automatic segmentation, such as FreeSurfer, could be a useful tool with high accuracy because it has histological validation.
OBJECTIVES: The objective of this study was to evaluate clinical, neuropsychological and FreeSurfer variables that may be related to worse cognitive outcomes over 18 months in PD patients compared with controls.
METHODS: PD patients were recruited according to established inclusion and exclusion criteria as well individuals without any neurological or psychiatric diagnosis and were submitted to the same protocol: neurological, neuropsychological and neuroimaging evaluations. After 18 months, the study subjects were reassessed by neurological and neuropsychological evaluations.
RESULTS: Of 171 individuals selected for first evaluation, 96 concluded the study during 18-month follow-up. The PD group presented worse performance in the neuropsychological assessment during both the initial and final evaluations. The results obtained by FreeSurfer revealed a significant reduction (unilateral or bilateral) in the volume of thalamus, caudate nucleus, putamen, hippocampus, amygdala, accumbens, corpus callosum and cerebral gray matter in the PD group. A worse cognitive outcome was more prevalent in the PD group.
CONCLUSIONS: Worse cognitive performance documented by neuropsychological assessment in the PD group was correlated with reduced volume of several structures by FreeSurfer analysis and may be a biomarker of cognitive decline.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Cognitive impairment; Magnetic resonance; Parkinson's disease; Prognosis; Subcortical atrophy

Mesh:

Year:  2018        PMID: 29729620     DOI: 10.1016/j.jpsychires.2018.04.016

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  7 in total

1.  Altered white matter microarchitecture in Parkinson's disease: a voxel-based meta-analysis of diffusion tensor imaging studies.

Authors:  Xueling Suo; Du Lei; Wenbin Li; Lei Li; Jing Dai; Song Wang; Nannan Li; Lan Cheng; Rong Peng; Graham J Kemp; Qiyong Gong
Journal:  Front Med       Date:  2020-05-26       Impact factor: 4.592

2.  Different FreeSurfer versions might generate different statistical outcomes in case-control comparison studies.

Authors:  Pavel Filip; Petr Bednarik; Lynn E Eberly; Amir Moheet; Alena Svatkova; Heidi Grohn; Anjali F Kumar; Elizabeth R Seaquist; Silvia Mangia
Journal:  Neuroradiology       Date:  2022-01-06       Impact factor: 2.804

Review 3.  The Key Role of Magnetic Resonance Imaging in the Detection of Neurodegenerative Diseases-Associated Biomarkers: A Review.

Authors:  Ke-Ru Li; An-Guo Wu; Yong Tang; Xiao-Peng He; Chong-Lin Yu; Jian-Ming Wu; Guang-Qiang Hu; Lu Yu
Journal:  Mol Neurobiol       Date:  2022-07-12       Impact factor: 5.682

Review 4.  Gray Matter Changes in Parkinson's and Alzheimer's Disease and Relation to Cognition.

Authors:  Lenka Krajcovicova; Patricia Klobusiakova; Irena Rektorova
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

5.  Sleep disturbances and gastrointestinal dysfunction are associated with thalamic atrophy in Parkinson's disease.

Authors:  Flavia Niccolini; Heather Wilson; Beniamino Giordano; Konstantinos Diamantopoulos; Gennaro Pagano; Kallol Ray Chaudhuri; Marios Politis
Journal:  BMC Neurosci       Date:  2019-10-22       Impact factor: 3.288

6.  Mapping the patterns of cortical thickness in single- and multiple-domain amnestic mild cognitive impairment patients: a pilot study.

Authors:  Pan Sun; Wutao Lou; Jianghong Liu; Lin Shi; Kuncheng Li; Defeng Wang; Vincent Ct Mok; Peipeng Liang
Journal:  Aging (Albany NY)       Date:  2019-11-22       Impact factor: 5.682

7.  Midsagittal corpus callosal thickness and cognitive impairment in Parkinson's disease.

Authors:  Conor Owens-Walton; Chris Adamson; Mark Walterfang; Sara Hall; Danielle van Westen; Oskar Hansson; Marnie Shaw; Jeffrey C L Looi
Journal:  Eur J Neurosci       Date:  2022-03-22       Impact factor: 3.698

  7 in total

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