Literature DB >> 36118705

Abnormal cortical atrophy and functional connectivity are associated with depression in Parkinson's disease.

Weifang Yin1, Anming Li1, Baiyuan Yang2, Chao Gao3, Yanfei Hu3, Zhenglong Luo1, Yuxia Li1, Yongyun Zhu1, Chuanbin Zhou1, Hui Ren1, Shimei Li4, Xinglong Yang1,5,6.   

Abstract

Objective: This study aimed to investigate the association of altered cortical thickness and functional connectivity (FC) with depression in Parkinson's disease (PD). Materials and methods: A total of 26 non-depressed PD patients (PD-ND), 30 PD patients with minor depression (PD-MnD), 32 PD patients with major depression (PD-MDD), and 30 healthy controls (HC) were enrolled. Differences in cortical thickness among the four groups were assessed, and the results were used to analyze FC differences in regions of cortical atrophy. Binary logistic regression and receiver operating characteristic (ROC) curve analyses were also performed to identify clinical features and neuroimaging biomarkers that might help in the prediction of PD-MDD.
Results: Patients with PD-MDD showed decreased cortical thickness compared to patients with PD-ND in the left superior temporal and right rostral middle frontal gyri (RMFG), as well as weak FC between the left superior temporal gyrus and right cerebellum posterior lobe and between right RMFG and right inferior frontal gyrus and insula. The combination of cortical thickness, FC, and basic clinical features showed strong potential for predicting PD-MDD based on the area under the ROC curve (0.927, 95% CI 0.854-0.999, p < 0.001).
Conclusion: Patients with PD-MDD show extensive cortical atrophy and FC alterations, suggesting that cortical thickness and FC may be neuroimaging-based diagnostic biomarkers for PD-MDD.
Copyright © 2022 Yin, Li, Yang, Gao, Hu, Luo, Li, Zhu, Zhou, Ren, Li and Yang.

Entities:  

Keywords:  Parkinson’s disease; cortical atrophy; depression; functional connectivity; neuroimaging biomarkers

Year:  2022        PMID: 36118705      PMCID: PMC9471004          DOI: 10.3389/fnagi.2022.957997

Source DB:  PubMed          Journal:  Front Aging Neurosci        ISSN: 1663-4365            Impact factor:   5.702


  51 in total

1.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

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Authors:  Seth G Disner; Christopher G Beevers; Emily A P Haigh; Aaron T Beck
Journal:  Nat Rev Neurosci       Date:  2011-07-06       Impact factor: 34.870

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Journal:  Neurodegener Dis       Date:  2016-11-24       Impact factor: 2.977

Review 5.  A systematic review of prevalence studies of depression in Parkinson's disease.

Authors:  Jennifer S A M Reijnders; Uwe Ehrt; Wim E J Weber; Dag Aarsland; Albert F G Leentjens
Journal:  Mov Disord       Date:  2008-01-30       Impact factor: 10.338

Review 6.  Prevalence of minor depression in elderly persons with and without mild cognitive impairment: a systematic review.

Authors:  M Polyakova; N Sonnabend; C Sander; R Mergl; M L Schroeter; J Schroeder; P Schönknecht
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Journal:  Mol Psychiatry       Date:  2019-12-04       Impact factor: 15.992

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