Literature DB >> 29449187

Cortical atrophy patterns in early Parkinson's disease patients using hierarchical cluster analysis.

Carme Uribe1, Barbara Segura2, Hugo Cesar Baggio3, Alexandra Abos4, Anna Isabel Garcia-Diaz5, Anna Campabadal6, Maria Jose Marti7, Francesc Valldeoriola8, Yaroslau Compta9, Eduard Tolosa10, Carme Junque11.   

Abstract

INTRODUCTION: Cortical brain atrophy detectable with MRI in non-demented advanced Parkinson's disease (PD) is well characterized, but its presence in early disease stages is still under debate. We aimed to investigate cortical atrophy patterns in a large sample of early untreated PD patients using a hypothesis-free data-driven approach.
METHODS: Seventy-seven de novo PD patients and 50 controls from the Parkinson's Progression Marker Initiative database with T1-weighted images in a 3-tesla Siemens scanner were included in this study. Mean cortical thickness was extracted from 360 cortical areas defined by the Human Connectome Project Multi-Modal Parcellation version 1.0, and a hierarchical cluster analysis was performed using Ward's linkage method. A general linear model with cortical thickness data was then used to compare clustering groups using FreeSurfer software.
RESULTS: We identified two patterns of cortical atrophy. Compared with controls, patients grouped in pattern 1 (n = 33) were characterized by cortical thinning in bilateral orbitofrontal, anterior cingulate, and lateral and medial anterior temporal gyri. Patients in pattern 2 (n = 44) showed cortical thinning in bilateral occipital gyrus, cuneus, superior parietal gyrus, and left postcentral gyrus, and they showed neuropsychological impairment in memory and other cognitive domains.
CONCLUSIONS: Even in the early stages of PD, there is evidence of cortical brain atrophy. Neuroimaging clustering analysis is able to detect two subgroups of cortical thinning, one with mainly anterior atrophy, and the other with posterior predominance and worse cognitive performance.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cluster analysis; Cortical atrophy; Early parkinson disease; Magnetic resonance imaging; PPMI

Mesh:

Year:  2018        PMID: 29449187     DOI: 10.1016/j.parkreldis.2018.02.006

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  16 in total

1.  Neural correlates of distinct cognitive phenotypes in early Parkinson's disease.

Authors:  Ece Bayram; Brent Bluett; Xiaowei Zhuang; Dietmar Cordes; Denise R LaBelle; Sarah J Banks
Journal:  J Neurol Sci       Date:  2019-02-07       Impact factor: 3.181

Review 2.  Structural Imaging in Parkinson's Disease: New Developments.

Authors:  Stéphane Prange; Elise Metereau; Stéphane Thobois
Journal:  Curr Neurol Neurosci Rep       Date:  2019-06-18       Impact factor: 5.081

3.  Alcohol dependence inpatients classification with GLM and hierarchical clustering integration using fMRI data of alcohol multiple scenario cues.

Authors:  Abdulqawi Alarefi; Naji Alhusaini; Xunshi Wang; Rui Tao; Qinqin Rui; Guoqing Gao; Liangjun Pang; Bensheng Qiu; Xiaochu Zhang
Journal:  Exp Brain Res       Date:  2022-08-27       Impact factor: 2.064

Review 4.  Disentangling Heterogeneity in Alzheimer's Disease and Related Dementias Using Data-Driven Methods.

Authors:  Mohamad Habes; Michel J Grothe; Birkan Tunc; Corey McMillan; David A Wolk; Christos Davatzikos
Journal:  Biol Psychiatry       Date:  2020-01-31       Impact factor: 13.382

5.  Distinct neural circuits are associated with subclinical neuropsychiatric symptoms in Parkinson's disease.

Authors:  Sule Tinaz; Serageldin Kamel; Sai S Aravala; Mine Sezgin; Mohamed Elfil; Rajita Sinha
Journal:  J Neurol Sci       Date:  2021-02-21       Impact factor: 3.181

6.  Meynert nucleus-related cortical thinning in Parkinson's disease with mild cognitive impairment.

Authors:  Siming Rong; Yan Li; Bing Li; Kun Nie; Piao Zhang; Tongtong Cai; Mingjin Mei; Lijuan Wang; Yuhu Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-04

7.  Cortical thinning pattern according to differential nigrosome involvement in patients with Parkinson's disease.

Authors:  Na-Young Shin; Bo-Hyun Kim; Eunkyeong Yun; Uicheul Yoon; Jong-Min Lee; Young Hee Sung; Eung Yeop Kim
Journal:  Neuroimage Clin       Date:  2020-08-13       Impact factor: 4.881

Review 8.  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

9.  Linking Stage-Specific Plasma Biomarkers to Gray Matter Atrophy in Parkinson Disease.

Authors:  W-C Lin; P-L Lee; C-H Lu; C-P Lin; K-H Chou
Journal:  AJNR Am J Neuroradiol       Date:  2021-05-27       Impact factor: 4.966

10.  Gray/White Matter Contrast in Parkinson's Disease.

Authors:  Carme Uribe; Barbara Segura; Hugo C Baggio; Alexandra Abos; Anna I Garcia-Diaz; Anna Campabadal; Maria J Marti; Francesc Valldeoriola; Yaroslau Compta; Nuria Bargallo; Carme Junque
Journal:  Front Aging Neurosci       Date:  2018-03-27       Impact factor: 5.750

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