Literature DB >> 30565368

Clinical relevance of amnestic versus non-amnestic mild cognitive impairment subtyping in Parkinson's disease.

S J Chung1, Y-H Park2, H J Yun2,3, H Kwon2,4, H S Yoo1, Y H Sohn1, J-M Lee2, P H Lee1,5.   

Abstract

BACKGROUND AND
PURPOSE: To clarify whether subtyping of amnestic and non-amnestic mild cognitive impairment (MCI) is clinically relevant in Parkinson's disease (PD) by analyzing patterns of neuroimaging and longitudinal cognitive changes.
METHODS: We performed comparative analyses of cortical thickness, hippocampal volume, white matter integrity and resting-state functional connectivity between the patients with de-novo PD with amnestic MCI (PD-aMCI) (n = 50) and non-amnestic MCI (PD-naMCI) (n = 50) subtypes. Additionally, we assessed the longitudinal rate of cognitive decline in each cognitive domain over time and the rate of dementia conversion in patients with de-novo PD-aMCI (n = 125) and PD-naMCI (n = 61).
RESULTS: The demographic data showed that scores in memory domains were lower in the PD-aMCI group compared with the PD-naMCI group. There were no significant differences in cortical thickness, hippocampal volume and white matter integrity between the two groups, although the PD-aMCI group exhibited more cortical thinning and hippocampal atrophy relative to the control group. The PD-aMCI group exhibited increased functional connectivity in the left posterior parietal region with the salience network relative to the PD-naMCI group. The longitudinal cognitive assessment demonstrated that patients with PD-aMCI exhibited a more rapid cognitive decline in frontal/executive function than those with PD-naMCI (P = 0.022). In addition, the PD-aMCI group had a higher risk of dementia conversion than the PD-naMCI group.
CONCLUSIONS: This study suggests that the designation of PD-MCI subtypes based on memory function would highlight the heterogeneity of functional correlates as well as the longitudinal cognitive prognosis.
© 2018 EAN.

Entities:  

Keywords:  Parkinson's disease; cognitive decline; memory; mild cognitive impairment; neuroimaging

Year:  2019        PMID: 30565368     DOI: 10.1111/ene.13886

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  7 in total

1.  Posterior Cortical Cognitive Deficits Are Associated With Structural Brain Alterations in Mild Cognitive Impairment in Parkinson's Disease.

Authors:  Quentin Devignes; Romain Viard; Nacim Betrouni; Guillaume Carey; Gregory Kuchcinski; Luc Defebvre; Albert F G Leentjens; Renaud Lopes; Kathy Dujardin
Journal:  Front Aging Neurosci       Date:  2021-05-13       Impact factor: 5.750

2.  Predicting Cognitive Decline in Parkinson's Disease with Mild Cognitive Impairment: A One-Year Observational Study.

Authors:  Pei-Hao Chen; Fang-Yu Cheng; Shih-Jung Cheng; Jin-Siang Shaw
Journal:  Parkinsons Dis       Date:  2020-10-28

3.  Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson's Disease.

Authors:  Marianna Amboni; Carlo Ricciardi; Sofia Cuoco; Leandro Donisi; Antonio Volzone; Gianluca Ricciardelli; Maria Teresa Pellecchia; Gabriella Santangelo; Mario Cesarelli; Paolo Barone
Journal:  Front Aging Neurosci       Date:  2022-03-01       Impact factor: 5.750

Review 4.  Mild cognitive impairment in patients with Parkinson's disease: An updated mini-review and future outlook.

Authors:  Rwei-Ling Yu; Ruey-Meei Wu
Journal:  Front Aging Neurosci       Date:  2022-09-06       Impact factor: 5.702

5.  Predicting cognitive decline in Parkinson's disease using FDG-PET-based supervised learning.

Authors:  Samuel Booth; Kye Won Park; Chong Sik Lee; Ji Hyun Ko
Journal:  J Clin Invest       Date:  2022-10-17       Impact factor: 19.456

Review 6.  Parkinson's Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering.

Authors:  Seung Hyun Lee; Sang-Min Park; Sang Seok Yeo; Ojin Kwon; Mi-Kyung Lee; Horyong Yoo; Eun Kyoung Ahn; Jae Young Jang; Jung-Hee Jang
Journal:  Diagnostics (Basel)       Date:  2022-01-04

7.  Cortical thickness in Parkinson disease: A coordinate-based meta-analysis.

Authors:  LiQin Sheng; PanWen Zhao; HaiRong Ma; Joaquim Radua; ZhongQuan Yi; YuanYuan Shi; JianGuo Zhong; ZhenYu Dai; PingLei Pan
Journal:  Medicine (Baltimore)       Date:  2020-07-31       Impact factor: 1.817

  7 in total

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