Evidence map›Paper›PMID 33842886›Full record

ArticleBrain communications2021

Cognitive fatigue in multiple sclerosis is associated with alterations in the functional connectivity of monoamine circuits.

Mara Cercignani, Ottavia Dipasquale, Iulia Bogdan, Tiziana Carandini, James Scott, Waqar Rashid, Osama Sabri, Swen Hesse, Michael Rullmann, Leonardo Lopiano and 3 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.0field-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

31 citing papers in PubMed, 44 citations in OpenAlex.

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  9. Molecular-Informed Network Analysis Unveils Fatigue-Related Functional Connectivity in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025
    Observational
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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

13 authors at 6 institutions in 3 countries.

Mara CercignaniDepartment of Neuroscience, Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton BN1 9RR, UK.
Ottavia DipasqualeCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.
Iulia BogdanDepartment of Neuroscience, Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton BN1 9RR, UK.
Tiziana CarandiniFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Dino Ferrari Center, 20122 Milan, Italy.
James ScottDepartment of Neuroscience, Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton BN1 9RR, UK.ORCID https://orcid.org/0000-0002-4021-9598
Waqar RashidDepartment of Neuroscience, Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton BN1 9RR, UK.
Osama SabriDepartment of Nuclear Medicine, University of Leipzig, 04102 Leipzig, Germany.
Swen HesseDepartment of Nuclear Medicine, University of Leipzig, 04102 Leipzig, Germany.
Michael RullmannDepartment of Nuclear Medicine, University of Leipzig, 04102 Leipzig, Germany.
Leonardo LopianoDepartment of Neuroscience "Rita Levi Montalcini", University of Torino, 10126 Torino, Italy.
Mattia VeroneseCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.
Daniel MartinsCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.
Marco BozzaliDepartment of Neuroscience, Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton BN1 9RR, UK.
Brighton and Sussex Medical School · GBWellcome Centre for Human Neuroimaging · GBIFB Adiposity Diseases · DELeipzig University · DEUniversity of Milan · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue is a highly prevalent and debilitating symptom in multiple sclerosis, but currently the available treatment options have limited efficacy. The development of innovative and efficacious targeted treatments for fatigue in multiple sclerosis has been marred by the limited knowledge of the underlying mechanisms. One of the hypotheses postulates that multiple sclerosis pathology might cause reduced monoaminergic release in the central nervous system with consequences on motivation, mood and attention. Here, we applied the recently developed Receptor-Enriched Analysis of Functional Connectivity by Targets method to investigate whether patients with high and low fatigue differ in the functional connectivity (FC) of the monoamine circuits in the brain. We recruited 55 patients with multiple sclerosis, which were then classified as highly fatigued or mildly fatigued based on their scores on the cognitive sub-scale of the Modified Fatigue Impact scale. We acquired resting-state functional MRI scans and derived individual maps of connectivity associated with the distribution of the dopamine, noradrenaline and serotonin transporters as measured by positron emission tomography. We found that patients with high fatigue present decreased noradrenaline transporter (NAT)-enriched connectivity in several frontal and prefrontal areas when compared to those with lower fatigue. The NAT-enriched FC predicted negatively individual cognitive fatigue scores. Our findings support the idea that alterations in the catecholaminergic functional circuits underlie fatigue in multiple sclerosis and identify the NAT as a putative therapeutic target directed to pathophysiology.

Indexed as

fatiguefunctional connectivityneurotrasmittersnoradrenalineREACT

Identifiers

PMID33842886
PMCPMC8023545
OpenAlexW3133928962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.