Evidence map›Paper›PMID 39973452›Full record

ArticleJournal of neuromuscular diseases

Hyperconnectivity in resting-state fMRI as a marker of disease severity in Myotonic Dystrophy Type 1.

Joana Garmendia, Garazi Labayru, Antonio Jiménez-Marín, Jorge Villanúa, Jesús Cortés, Adolfo López de Munain, Andone Sistiaga

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Article in Journal of neuromuscular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Joana GarmendiaDepartment of Clinical and Health Psychology and Research Methodology, Psychology Faculty, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain.
Garazi LabayruDepartment of Clinical and Health Psychology and Research Methodology, Psychology Faculty, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain.
Antonio Jiménez-MarínComputational Neuroimaging Laboratory, Biobizkaia Health Research Institute, Barakaldo, Spain.
Jorge VillanúaOsatek, Donostia University Hospital, Donostia-San Sebastián, Gipuzkoa, Spain.
Jesús CortésComputational Neuroimaging Laboratory, Biobizkaia Health Research Institute, Barakaldo, Spain.
Adolfo López de MunainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Institute Carlos III, Madrid, Spain.
Andone SistiagaDepartment of Clinical and Health Psychology and Research Methodology, Psychology Faculty, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMyotonic dystrophy type 1 (DM1) patients show both structural and functional brain alterations, including abnormal resting-state (RS) functional connectivity. Although some studies have investigated RS functional connectivity in DM1, methodological differences make it challenging to draw consistent conclusions.

objectivesThis study aims to analyze 1) RS functional connectivity in DM1 patients compared to healthy controls (HC), 2) graph theory metrics, 3) longitudinal connectivity variations, and 4) the relationship between connectivity and clinical, cognitive, and structural brain data. METHODOLOGY: Twenty-one DM1 patients and 21 matched HCs underwent 3 T MRI scans, including RS fMRI. Of these, 15 DM1 patients and 13 HCs participated in the follow-up after 3 years. Additionally, DM1 patients underwent baseline clinical, molecular and cognitive assessments. Functional connectivity analysis (ROI-to-ROI) and graph theory measures were employed. Longitudinal changes in connectivity were examined, and total hyperconnectivity and hypoconnectivity values were calculated to explore correlations with clinical, brain, and cognitive correlates.

resultsDM1 patients showed widespread hyperconnectivity compared to HCs. Although no statistically significant differences were found in graph theory measures, patients tended to show decreased efficiency, strength, and clustering (with moderate effect sizes). Patients remained hyperconnected over time, with a progression similar to HCs. Hyperconnectivity was associated with more severe disease, greater muscular impairment, and molecular defects, as well as lower cognitive performance. Conversely, hypoconnectivity was associated with less severe disease. DISCUSSION: DM1 patients are characterized by brain hyperconnectivity and a less efficient brain network organization. Hyperconnectivity is discussed as a compensatory mechanism and is suggested as a disease severity marker.

Indexed as

BrainMyotonic DystrophyAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSeverity of Illness Indexbrain networkfunctional connectivitygraph theorylongitudinal studySteinert's disease

Identifiers

PMID39973452
PMCPMC11949304

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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.