Evidence map›Paper›PMID 42156507›Full record

ArticleScientific reports2026

Integrated anatomical and functional connectivity mapping in episodic migraine: a spectral graph theory approach.

Gonçalo Grácio, Ana Matoso, Inês Esteves, Ana R Fouto, Amparo Ruiz-Tagle, Gina Caetano, Raquel Gil-Gouveia, Patrícia Figueiredo, Rita G Nunes, Sérgio Pequito

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Gonçalo GrácioInstitute for Systems and Robotics - Lisboa and Department of Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal. goncalo.gracio@tecnico.ulisboa.pt.
Ana MatosoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Inês EstevesInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Ana R FoutoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Amparo Ruiz-TagleInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Gina CaetanoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Raquel Gil-GouveiaNeurology Department, Hospital da Luz, Lisbon, Portugal.
Patrícia FigueiredoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Rita G NunesInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Sérgio PequitoInstitute for Systems and Robotics - Lisboa and Department of Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.

Funding

Fundação para a Ciência e a Tecnologia 2023.03810.BDANA
6 · The paper itself

Abstract

Migraine disproportionately affects women, yet how migraine physiology reshapes large-scale brain communication remains unclear. We combined diffusion-weighted imaging (DWI) and resting-state fMRI in female participants (14 patients with episodic migraine without aura; 15 matched healthy controls) to test how direct and indirect anatomical communication paths in the brain can predict brain function. We used a spectral mapping framework that isolates the contribution of communication paths of a specific length and evaluated how well brain structure predicts brain function within individuals. Analyses of individual path lengths revealed a non-monotonic dissociation: no difference at one-step (direct) paths, but higher mapping accuracy in patients at intermediate indirect scales (four and five steps). At longer scales, contributions attenuated in both groups. Spatial correspondence analyses localized patient-specific effects to default mode network subsystems across multiple atlases. These findings indicate that migraine-related dysfunction reflects altered mesoscale structure-function integration along indirect anatomical routes, and they provide a general approach to dissect structure-function coupling by communication scale in disease.

Indexed as

BrainBrain MappingMigraine DisordersAdultCase-Control StudiesDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingNerve Net

Identifiers

PMID42156507
PMCPMC13388938

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.