Evidence map›Paper›PMID 31900856›Full record

ArticleCerebellum (London, England)2020

Cerebellar Volume Is Associated with Cognitive Decline in Mild Cognitive Impairment: Results from ADNI.

Chi-Ying Lin, Chi-Hua Chen, Sarah E Tom, Sheng-Han Kuo, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Cerebellum (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Cerebellar volumes' selective association with MoCA over MMSE: a diagnostic insight into mild cognitive impairment and mild dementia.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  18. Consensus Paper: Cerebellum and Ageing.Cerebellum (London, England) · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chi-Ying LinDepartment of Neurology, Columbia University Medical Center, 650 West 168th Street, Room 305, New York, NY, 10032, USA.
Chi-Hua ChenCenter for Multimodal Imaging and Genetics, Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
Sarah E TomDepartment of Neurology, Columbia University Medical Center, 650 West 168th Street, Room 305, New York, NY, 10032, USA.
Sheng-Han KuoDepartment of Neurology, Columbia University Medical Center, 650 West 168th Street, Room 305, New York, NY, 10032, USA. sk3295@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-9412-931X
Alzheimer’s Disease Neuroimaging Initiative

Funding

Genetic architecture of the human brain and neuropsychiatric disordersR01MH118281 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2019 to 2023
$2.7M
Identifying the Polygenic Basis of the Human Brain and Psychiatric DisordersR01MH100351 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2013 to 2017
$2.1M
Cerebellar Circuitry in the Pathophysiology of TremorR01NS104423 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUO, SHENG-HAN · 2018 to 2022
$2.0M
The role of glucocerebrosidase and chaperone_mediated autophagy in Parkinsons disK08NS083738 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUO, SHENG-HAN · 2013 to 2017
$940k
Early life environment and later life dementia, cognition, neuropathology, and reserveK01AG050723 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI TOM, SARAH ELIZABETH · 2016 to 2021
$716k
Omic analyses for stratifying Alzheimer's subtypes and identifying novel drug targetsR56AG061163 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2018 to 2018
$560k
Dietary Contribution in Cerebellar AtaxiaR03NS114871 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUO, SHENG-HAN · 2019 to 2020
$162k
NIA NIH HHS K01 AG050723NIA NIH HHS R56 AG061163NIH HHS K08 NS083738NIH HHS R01 MH118281NIH HHS R01 NS104423NIMH NIH HHS R01 MH100351NIMH NIH HHS R01 MH118281NINDS NIH HHS K08 NS083738NINDS NIH HHS R01 MH100351NINDS NIH HHS R01 NS104423NINDS NIH HHS R03 NS114871NINDS NIH HHS R56 AG061163
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a disease with dysfunctional brain network. Previous studies found the cerebellar volume changes over the course of AD disease progression; however, whether cerebellar volume change contributes to the cognitive decline in AD, or its earlier disease stage (i.e., mild cognitive impairment [MCI]) remains unclear. In ADNI, cognitive function was assessed using Alzheimer's Disease Assessment Scale-Cognitive Behavior section (ADAS-Cog). We used linear regression and linear mixed effects models to examine whether cerebellar volume is associated with either baseline cognition or with cognitive changes over time in MCI or in AD. We used logistic regression to assess the relationship between cerebellar volume and disease progression to MCI and AD. We found that cerebellar volume is associated with cognition in patients with MCI, after adjusting for age, gender, education, hippocampal volume, and APOE4 status. Consistently, cerebellar volume is associated with increased odds of the disease stages of MCI and AD when compared to controls. However, cerebellar volume is not associated with cognitive changes over time in either MCI or AD. In summary, cerebellar volume may contribute to cognition level in MCI, but not in AD, indicating that the cerebellar network might modulate the cognitive function in the early stage of the disease. The cerebellum may be a potential target for neuromodulation in treating MCI.

Indexed as

AgedAged, 80 and overCerebellumCognitionCognitive DysfunctionCohort StudiesDisease ProgressionFemaleHumansMaleAlzheimer’s diseaseCerebellumMild cognitive impairmentMRIVolumetric MRI

Identifiers

PMID31900856
PMCPMC7085462

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.