Evidence map›Paper›PMID 22841649›Full record

ReviewProgress in neurobiology2012

Neurobiological studies of fatigue.

Mary E Harrington

Open access · greenAbstract readReview
In one paragraph

Review in Progress in neurobiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Mary E HarringtonNeuroscience Program, Smith College, Northampton, MA 01063, USA. mharring@smith.edu
Smith College · US

Funding

Building foundations for a neurobiology of fatigue: validating an animal modelR21NR012845 · NINR · SMITH COLLEGE · PI HARRINGTON, MARY E · 2012 to 2013
$342k
Circadian clock suppression in cancer-related fatigueR21CA125215 · NCI · SMITH COLLEGE · PI HARRINGTON, MARY E · 2008 to 2009
$312k
NCI NIH HHS R21 CA125215NCI NIH HHS R21-CA125215NINR NIH HHS R21 NR012845NINR NIH HHS R21-NR012845
6 · The paper itself

Abstract

Fatigue is a symptom associated with many disorders, is especially common in women and in older adults, and can have a huge negative influence on quality of life. Although most past research on fatigue uses human subjects instead of animal models, the use of appropriate animal models has recently begun to advance our understanding of the neurobiology of fatigue. In this review, results from animal models using immunological, developmental, or physical approaches to study fatigue are described and compared. Common across these animal models is that fatigue arises when a stimulus induces activation of microglia and/or increased cytokines and chemokines in the brain. Neurobiological studies implicate structures in the ascending arousal system, sleep executive control areas, and areas important in reward. In addition, the suprachiasmatic nucleus clearly plays an important role in homeostatic regulation of the neural network mediating fatigue. This nucleus responds to cytokines, shows decreased amplitude firing rate output in models of fatigue, and responds to exercise, one of our few treatments for fatigue. This is a young field but very important as the symptom of fatigue is common across many disorders and we do not have effective treatments.

Indexed as

AnimalsAutoimmune Diseases of the Nervous SystemBrainDisease Models, AnimalFatigueFatigue Syndrome, ChronicHumansNeurobiology

Identifiers

PMID22841649
PMCPMC3479364
OpenAlexW2038548714

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.