Evidence map›Paper›PMID 31499435›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2019

Insula and putamen centered functional connectivity networks reflect healthy agers' subjective experience of cognitive fatigue in multiple tasks.

Andrew J Anderson, Ping Ren, Timothy M Baran, Zhengwu Zhang, Feng Lin

Abstract read
In one paragraph

Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Trial
  3. Towards a domain-general mechanistic model of fatigue: application to Functional Neurological Disorder.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
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  10. 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
    Article
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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.

Andrew J AndersonDepartment of Neuroscience, University of Rochester Medical Center, USA; Department of Biomedical Engineering, University of Rochester, USA. Electronic address: aander41@ur.rochester.edu.
Ping RenShenzhen Kangning Hospital, Guangdong, China; School of Nursing, University of Rochester Medical Center, USA.
Timothy M BaranDepartment of Biomedical Engineering, University of Rochester, USA; Department of Imaging Science, University of Rochester Medical Center, USA.
Zhengwu ZhangDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, USA.
Feng LinDepartment of Neuroscience, University of Rochester Medical Center, USA; School of Nursing, University of Rochester Medical Center, USA; Department of Neurology, University of Rochester Medical Center, USA; Department of Psychiatry, University of Rochester Medical Center, USA; Department of Brain and Cognitive Sciences, University of Rochester, USA. Electronic address: vankee_lin@urmc.rochester.edu.

Funding

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 AG053193
6 · The paper itself

Abstract

Cognitive fatigue (CF) impairs ability to perform daily activities, is a common complaint of aging and a symptom of multiple neurological conditions. However, knowledge of the neural basis of CF is limited. This is partially because CF is difficult to systematically modulate in brain imaging experiments. The most common approach has been to scan brain activity during effortful cognitive tasks. Consequently, neural correlates of CF tend to be task-specific and may vary across tasks. This makes it difficult to know how results generalize across studies and is outside the subjective experience of CF which tends to be similar in different tasks. It has been hypothesized that the subjective experience of CF might arise from domain general systems monitoring and acting on energy depletion in task specific circuits. Direct supporting neural evidence is lacking. By repeatedly scanning aging individuals undertaking four different tasks using functional Magnetic Resonance Imaging and referencing scans to detailed CF self-ratings taken before and after scanning, we sought task-general correlates of CF. We ran a data-driven representational similarity analysis, treating each brain region as a candidate CF functional connectivity hub, and correlating inter-participant differences in hub-based connectivity patterns with inter-participant differences in self-rated CF-profiles (a pattern of ratings across 18 questions). Both right insula and right putamen-based network connectivity patterns reflected CF across all tasks and could underpin subjective experience of CF.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overCognitionFemaleHealthy AgingHumansMaleMiddle AgedNerve NetNeural PathwaysPutamenRestCognitive fatigueCognitive taskfMRIFunctional connectivityRepresentational similarity analysis

Identifiers

PMID31499435
PMCPMC6783365

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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.