Evidence map›Paper›PMID 32189024›Full record

ArticleNeuroradiology2020

Multi-scale resting state functional reorganization in response to multiple sclerosis damage.

Silvia Tommasin, Laura De Giglio, Serena Ruggieri, Nikolaos Petsas, Costanza Giannì, Carlo Pozzilli, Patrizia Pantano

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  10. Graph theoretical approach to brain remodeling in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2023
    Article
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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

7 authors at 4 institutions in 1 country.

Silvia TommasinDepartment of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy.ORCID https://orcid.org/0000-0001-9088-7968
Laura De GiglioMedicine Department, Neurology Unit, San Filippo Neri Hospital, Via Giovanni Martinotti, 20, 00135, Rome, RM, Italy.ORCID https://orcid.org/0000-0001-9018-7320
Serena RuggieriDepartment of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy.ORCID https://orcid.org/0000-0001-5287-3290
Nikolaos PetsasIRCCS Neuromed, (Pozzilli [IS], IT) Via Atinense, 18, 86077, Pozzilli, IS, Italy.ORCID https://orcid.org/0000-0001-7150-9697
Costanza GiannìDepartment of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy.ORCID https://orcid.org/0000-0002-4018-169X
Carlo PozzilliDepartment of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy.ORCID https://orcid.org/0000-0002-6360-4798
Patrizia PantanoDepartment of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy. patrizia.pantano@uniroma1.it.ORCID https://orcid.org/0000-0001-9659-8294
Sapienza University of Rome · ITIstituto Neurologico Mediterraneo · ITAzienda Ospedaliera Sant'Andrea · ITOspedale San Filippo Neri · IT

Funding

Fondazione Italiana Sclerosi Multipla 2018/S/3
6 · The paper itself

Abstract

purposeIn multiple sclerosis (MS), how brain functional changes relate to clinical conditions is still a matter of debate. The aim of this study was to investigate how functional connectivity (FC) reorganization at three different scales, ranging from local to whole brain, is related to tissue damage and disability.

methodsOne-hundred-nineteen patients with MS were clinically evaluated with the Expanded Disability Status Scale and the Multiple Sclerosis Functional Composite. Patients and 42 healthy controls underwent a multimodal 3 T MRI, including resting-state functional MRI.

resultsWe identified 16 resting-state networks via independent component analysis and measured within-network, between-network, and whole-brain (global efficiency and degree centrality) FC. Within-network FC was higher in patients than in controls in default mode, frontoparietal, and executive-control networks, and corresponded to low clinical impairment (default mode network versus Expanded Disability Status Scale r = - 0.31, p < 0.01; right frontoparietal network versus Paced Auditory Serial Addition Test r = 0.33, p < 0.01). All measures of between-network and whole-brain FC, except default mode network global efficiency, were lower in patients than in controls, and corresponded to high disability (i.e., basal ganglia global efficiency versus Timed 25-Foot Walk r = - 0.25, p < 0.03; default mode global efficiency versus Expanded Disability Status Scale r = - 0.44, p < 0.001). Altered measures of within-network, between-network, and whole-brain FC were combined in functional indices that were linearly related to disease duration, Paced Auditory Serial Addition Test and lesion load and non-linearly related to Expanded Disability Status Scale.

conclusionWe suggest that the combined evaluation of functional alterations occurring at different levels, from local to whole brain, could exhaustively describe neuroplastic changes in MS, while increased within-network FC likely represents adaptive compensatory processes, decreased between-network and whole-brain FC likely represent loss of functional network integration consequent to structural disruption.

Indexed as

AdultCase-Control StudiesDisability EvaluationExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMultiple SclerosisNeural PathwaysNeuronal PlasticityNeuropsychological TestsRestFunctional connectivityGraph theoryMultiple sclerosisPlasticityResting state networks

Identifiers

PMID32189024
OpenAlexW3011176942

What OpenQuestion holds

Textmetadata
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.