Evidence map›Paper›PMID 33733662›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Brain Small-Worldness Properties and Perceived Fatigue in Mild Cognitive Impairment.

Bennett Kukla, Mia Anthony, Shuyi Chen, Adam Turnbull, Timothy M Baran, Feng V Lin

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  14. A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
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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

6 authors at 2 institutions in 1 country.

Bennett KuklaCornell University, Ithaca, New York, USA.
Mia AnthonyDepartment of Brain and Cognitive Sciences, University of Rochester Medical Center, New York, USA.
Shuyi ChenDepartment of Brain and Cognitive Sciences, University of Rochester Medical Center, New York, USA.
Adam TurnbullDepartment of Imaging Sciences, University of Rochester Medical Center, New York, USA.
Timothy M BaranDepartment of Imaging Sciences, University of Rochester Medical Center, New York, USA.ORCID 0000-0002-4476-5609
Feng V LinDepartment of Brain and Cognitive Sciences, University of Rochester Medical Center, New York, USA.ORCID 0000-0003-1945-0362
University of Rochester Medical Center · USCornell University · US

Funding

Targeting Autonomic Flexibility to Enhance Cognitive Training Outcomes in Older Adults with Mild Cognitive ImpairmentR01NR015452 · NINR · UNIVERSITY OF ROCHESTER · PI HEFFNER, KATHI L, LIN, FENG VANKEE · 2015 to 2024
$4.4M
Applying the Neuroeconomics Paradigm for the Assessment of Central Fatigability in the Aging PopulationR21AG053193 · NIA · UNIVERSITY OF ROCHESTER · PI LIN, FENG VANKEE · 2016 to 2017
$421k
NIA NIH HHS R21 AG053193NIH HHS R01NR015452NINR NIH HHS R01 NR015452
6 · The paper itself

Abstract

backgroundPerceived fatigue is among the most common complaints in older adults and is substantially influenced by diminished resources or impaired structure of widespread cortical and subcortical regions. Alzheimer's disease and its preclinical stage-mild cognitive impairment (MCI)-are considered a brain network disease. It is unknown, however, whether those with MCI will therefore perceive worse fatigue, and whether an impaired global brain network will worsen their experience of fatigue.

methodsIn this pilot case-control study of age-, sex-, and education-matched MCI and their cognitively healthy counterparts (HCs), perceived fatigue was measured using Multidimensional Fatigue Inventory, and diffusion tensor imaging tractography data were analyzed using graph theory methods to explore small-worldness properties: segregation and integration.

resultsPerceived fatigue was more severe in MCI than HCs. Despite a trend for greater network alterations in MCI, there were no significant group differences in integration or segregation. Greater perceived fatigue was related to higher segregation across groups; more perceived fatigue was related to higher segregation and lower integration in MCI but not HCs.

conclusionFindings of this study support the notion that altered whole-brain small-worldness properties in brain aging or neurodegeneration may underpin perceived fatigue.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedBrainCase-Control StudiesDiffusion Tensor ImagingFatigueHumansIntegrationMild cognitive impairmentPerceived fatigueSegregationSmall worldness

Identifiers

PMID33733662
PMCPMC8893186
OpenAlexW3138088182

What OpenQuestion holds

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Registered trials

None linked

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.