Evidence map›Paper›PMID 40355645›Full record

ArticleScientific reports2025

White matter volume and microstructural integrity are associated with fatigue in relapsing multiple sclerosis.

Alejandra Figueroa-Vargas, Sebastián Navarrete-Caro, Claudia Cárcamo, Ethel Ciampi, Macarena Vásquez-Torres, Bernardita Soler, Cristian Montalba, Matías Iriarte-Carter, María Paz Martínez-Molina, Patricio Carvajal-Paredes and 12 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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  5. Review
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

22 authors.

Alejandra Figueroa-Vargas *Laboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile. amfigueroa@udd.cl.
Sebastián Navarrete-Caro *Departamento de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de Concepción, Concepcion, Chile.
Claudia CárcamoPrograma de Esclerosis Múltiple, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ethel CiampiPrograma de Esclerosis Múltiple, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Macarena Vásquez-TorresPrograma de Esclerosis Múltiple, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Bernardita SolerPrograma de Esclerosis Múltiple, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Cristian MontalbaPrograma de Esclerosis Múltiple, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Matías Iriarte-CarterLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
María Paz Martínez-MolinaLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
Patricio Carvajal-ParedesLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
Mariana Ayala-OchoaLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
Víctor Márquez-RodríguezLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
Paulo Figueroa-TaibaLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
Marcela Díaz-DíazLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile.
Joaquín HerreroLaboratorio LaNCE, Centro Interdisciplinario de Neurociencia, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Rodrigo Henríquez-ChLaboratorio LaNCE, Centro Interdisciplinario de Neurociencia, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ximena StecherUnidad de Imágenes Cuantitativas Avanzadas, Departamento de Imágenes, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, Las Condes, Chile.
Carla ManterolaDepartamento de Pediatría, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, Las Condes, Chile.
Francisco ZamoranoUnidad de Imágenes Cuantitativas Avanzadas, Departamento de Imágenes, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, Las Condes, Chile.
Pamela GuevaraDepartamento de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de Concepción, Concepcion, Chile.
Francisco AboitizLaboratorio LaNCE, Centro Interdisciplinario de Neurociencia, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile. faboitiz@uc.cl.
Pablo BillekeLaboratorio de Neurociencia Social y Neuromodulación (NeuroCICS), Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Las Condes, Chile. pbilleke@udd.cl.

Funding

Agencia Nacional de Investigación y Desarrollo 1211227Agencia Nacional de Investigación y Desarrollo ANID-Basal Project FB0008 (AC3E)
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a prevalent neurological disorder marked by inflammation and demyelination, with fatigue being one of the most reported and debilitating symptoms. While fatigue occurs across various neurological conditions and even in healthy individuals, the specific mechanisms contributing to fatigue in each context remain unclear. In this study, we conducted a cross-sectional analysis involving 32 people with relapsing MS (PwRMS) and 29 healthy controls who reported fatigue. Participants underwent MRI scans, including T1-weighted and diffusion-weighted imaging. Additionally, the Modified Fatigue Impact Scale was utilized. We employed Bayesian LASSO and Spike-and-Slab LASSO regression models to investigate the hypothesis that fatigue correlates differently with brain structures in PwRMS. Our findings revealed brain regions associated with general and cognitive fatigue. In particular, reduced white matter volume and compromised microstructural integrity in specific areas-such as the cingulate gyrus, inferior frontal gyrus, and the banks of the superior temporal sulcus-showed significant associations with fatigue scores in PwRMS. These results suggest that alterations in specific brain regions may play a critical role in the clinical manifestation of fatigue in MS. Understanding these insights could help differentiate general mechanisms of fatigue from those affecting people with relapsing MS, which may guide future therapeutic strategies.

Indexed as

FatigueMultiple Sclerosis, Relapsing-RemittingWhite MatterAdultBrainCase-Control StudiesCross-Sectional StudiesDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedDiffusion tensor imaging (DTI)FatigueFrontal poleInferior frontal gyrus (IFG)Magnetic resonance imaging (MRI)People with relapsing multiple sclerosis (PwRMS)

Identifiers

PMID40355645
PMCPMC12069712

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.