Evidence map›Paper›PMID 26893077›Full record

ArticleScientific reports2016

Basal ganglia correlates of fatigue in young adults.

Seishu Nakagawa, Hikaru Takeuchi, Yasuyuki Taki, Rui Nouchi, Yuka Kotozaki, Takamitsu Shinada, Tsukasa Maruyama, Atsushi Sekiguchi, Kunio Iizuka, Ryoichi Yokoyama and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Fatigue in Inflammatory Joint Diseases.International journal of molecular sciences · 2023
    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

19 authors.

Seishu NakagawaDepartment of Psychiatry, Tohoku Pharmaceutical University, Sendai, Japan.
Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Yasuyuki TakiDivision of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Rui NouchiHuman and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Yuka KotozakiSmart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Takamitsu ShinadaDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Tsukasa MaruyamaDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Atsushi SekiguchiDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Kunio IizukaDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Ryoichi YokoyamaDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Yuki YamamotoDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Sugiko HanawaDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Tsuyoshi ArakiSmart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Carlos Makoto MiyauchiDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Daniele MagistroDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Kohei SakakiDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Hyeonjeong JeongDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Yukako SasakiDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Ryuta KawashimaDepartment of Functional Brain Imaging, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the prevalence of chronic fatigue is approximately 20% in healthy individuals, there are no studies of brain structure that elucidate the neural correlates of fatigue outside of clinical subjects. We hypothesized that fatigue without evidence of disease might be related to changes in the basal ganglia and prefrontal cortex and be implicated in fatigue with disease. We aimed to identify the white matter structures of fatigue in young subjects without disease using magnetic resonance imaging (MRI). Healthy young adults (n = 883; 489 males and 394 females) were recruited. As expected, the degrees of fatigue and motivation were associated with larger mean diffusivity (MD) in the right putamen, pallidus and caudate. Furthermore, the degree of physical activity was associated with a larger MD only in the right putamen. Accordingly, motivation was the best candidate for widespread basal ganglia, whereas physical activity might be the best candidate for the putamen. A plausible mechanism of fatigue may involve abnormal function of the motor system, as well as areas of the dopaminergic system in the basal ganglia that are associated with motivation and reward.

Indexed as

AdolescentAdultAge FactorsBasal GangliaFatigueFemaleHumansMagnetic Resonance ImagingMaleMotivationSex FactorsYoung Adult

Identifiers

PMID26893077
PMCPMC4759547

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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.