Evidence map›Paper›PMID 30087602›Full record

ArticleFrontiers in behavioral neuroscience2018

Association of Fatigue and Stress With Gray Matter Volume.

Keisuke Kokubun, Kiyotaka Nemoto, Hiroki Oka, Hiroki Fukuda, Yoshinori Yamakawa, Yasuyoshi Watanabe

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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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.

Keisuke KokubunOffice of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan.
Kiyotaka NemotoDivision of Clinical Medicine, Department of Neuropsychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Hiroki OkaImPACT Program of Council for Science, Council for Science, Technology and Innovation, Cabinet Office, Government of Japan, Chiyoda, Japan.
Hiroki FukudaImPACT Program of Council for Science, Council for Science, Technology and Innovation, Cabinet Office, Government of Japan, Chiyoda, Japan.
Yoshinori YamakawaOffice of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan.
Yasuyoshi WatanabeRIKEN Center for Life Science Technologies, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stress is associated with a greater risk for various health problems including reduced gray matter volume (GMV) and density in a number of brain regions. Previous studies show that neuroimaging could be a means to objectively evaluate stress. However, to date, no definite neuroimaging-derived measures are available to detect stress. In this research we used the gray-matter brain healthcare quotient (GM-BHQ), an MRI-based quotient for monitoring brain health based on GMV, as an objective scale to measure the association of stress with the whole brain. We recruited 63 healthy adults to acquire structural T1-weighted images and stress levels evaluated using three representative stress scales: the Profile of Mood States (POMS), Perceived Stress Scale (PSS) and Chalder Fatigue Scale (CFS). We found that the GM-BHQ was sensitive to fatigue and the interaction between fatigue and stress.

Indexed as

chalder fatigue scalefatiguegray-matter brain healthcare quotientmagnetic resonance imaging dataperceived stress scaleprofile of mood statesstress

Identifiers

PMID30087602
PMCPMC6066525

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.