Literature DB >> 33735787

Differential vulnerability of the cerebellum in healthy ageing and Alzheimer's disease.

Helena M Gellersen1, Xavier Guell2, Saber Sami3.   

Abstract

Recent findings challenge the prior notion that the cerebellum remains unaffected by Alzheimer's disease (AD). Yet, it is unclear whether AD exacerbates age-related cerebellar grey matter decline or engages distinct structural and functional territories. We performed a meta-analysis of cerebellar grey matter loss in normal ageing and AD. We mapped voxels with structural decline onto established brain networks, functional parcellations, and along gradients that govern the functional organisation of the cerebellum. Importantly, these gradients track continuous changes in cerebellar specialisation providing a more nuanced measure of the functional profile of regions vulnerable to ageing and AD. Gradient 1 progresses from motor to cognitive territories; Gradient 2 isolates attentional processing; Gradient 3 captures lateralisation differences in cognitive functions. We identified bilateral and right-lateralised posterior cerebellar atrophy in ageing and AD, respectively. Age- and AD-related structural decline only showed partial spatial overlap in right lobule VI/Crus I. Despite the seemingly distinct patterns of AD- and age-related atrophy, the functional profiles of these regions were similar. Both participate in the same macroscale networks (default mode, frontoparietal, attention), support executive functions and language processing, and did not exhibit a difference in relative positions along Gradients 1 or 2. However, Gradient 3 values were significantly different in ageing vs. AD, suggesting that the roles of left and right atrophied cerebellar regions exhibit subtle functional differences despite their membership in similar macroscale networks. These findings provide an unprecedented characterisation of structural and functional differences and similarities in cerebellar grey matter loss between normal ageing and AD.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Alzheimer’s disease; Cerebellum; Functional gradients; Grey matter loss

Year:  2021        PMID: 33735787      PMCID: PMC7974323          DOI: 10.1016/j.nicl.2021.102605

Source DB:  PubMed          Journal:  Neuroimage Clin        ISSN: 2213-1582            Impact factor:   4.881


  8 in total

1.  Associations Between Sub-Threshold Amyloid-β Deposition, Cortical Volume, and Cognitive Function Modulated by APOE ɛ4 Carrier Status in Cognitively Normal Older Adults.

Authors:  Dong Woo Kang; Sheng-Min Wang; Yoo Hyun Um; Nak Young Kim; Chang Uk Lee; Hyun Kook Lim
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

Review 2.  Functional Gradients of the Cerebellum: a Review of Practical Applications.

Authors:  Xavier Guell
Journal:  Cerebellum       Date:  2021-11-06       Impact factor: 3.648

3.  Altered Spontaneous Brain Activity Patterns of Meibomian Gland Dysfunction in Severely Obese Population Measured Using the Fractional Amplitude of Low-Frequency Fluctuations.

Authors:  Yu-Ling Xu; Xiao-Yu Wang; Jun Chen; Min Kang; Yi-Xin Wang; Li-Juan Zhang; Hui-Ye Shu; Xu-Lin Liao; Jie Zou; Hong Wei; Qian Ling; Yi Shao
Journal:  Front Psychiatry       Date:  2022-05-11       Impact factor: 5.435

4.  Cerebellar Dentate Connectivity across Adulthood: A Large-Scale Resting State Functional Connectivity Investigation.

Authors:  Jessica A Bernard; Hannah K Ballard; Trevor Bryan Jackson
Journal:  Cereb Cortex Commun       Date:  2021-08-10

5.  Finger Tapping as a Biomarker to Classify Cognitive Status in 80+-Year-Olds.

Authors:  Dieter F Kutz; Stephanie Fröhlich; Julian Rudisch; Katrin Müller; Claudia Voelcker-Rehage
Journal:  J Pers Med       Date:  2022-02-15

6.  Regional Homogeneity in Patients With Mild Cognitive Impairment: A Resting-State Functional Magnetic Resonance Imaging Study.

Authors:  Yu-Qian Wu; Yi-Ning Wang; Li-Juan Zhang; Li-Qi Liu; Yi-Cong Pan; Ting Su; Xu-Lin Liao; Hui-Ye Shu; Min Kang; Ping Ying; San-Hua Xu; Yi Shao
Journal:  Front Aging Neurosci       Date:  2022-04-14       Impact factor: 5.750

7.  Prediction in the Aging Brain: Merging Cognitive, Neurological, and Evolutionary Perspectives.

Authors:  Rachel M Brown; Stefan L K Gruijters; Sonja A Kotz
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2022-09-01       Impact factor: 4.942

8.  Differences Changes in Cerebellar Functional Connectivity Between Mild Cognitive Impairment and Alzheimer's Disease: A Seed-Based Approach.

Authors:  Fanyu Tang; Donglin Zhu; Wenying Ma; Qun Yao; Qian Li; Jingping Shi
Journal:  Front Neurol       Date:  2021-06-17       Impact factor: 4.003

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.