Evidence map›Paper›PMID 40624109›Full record

ArticleScientific reports2025

Contrast subgraphs catch patterns of altered functional connectivity in autism spectrum disorder.

Tommaso Lanciano, Giovanni Petri, Tommaso Gili, Francesco Bonchi

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
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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

4 authors.

Tommaso LancianoDIAG, Sapienza University, Via Ariosto 25, 00185, Rome, Italy.
Giovanni PetriCENTAI Institute, Corso Inghilterra 3, 10138, Turin, Italy.
Tommaso GiliNetworks Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco 19, 55100, Lucca, Italy. tommaso.gili@imtlucca.it.
Francesco BonchiCENTAI Institute, Corso Inghilterra 3, 10138, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the breakthrough achievements in understanding structural and functional alterations of brain connectivity in autism spectrum disorder (ASD), the exact nature and type of such alterations are not yet clear due to conflicting reports of hyper-connectivity, hypo-connectivity, and-in some cases-combinations of both. In this work, we bring order to the debate using a network comparison technique to capture mesoscopic-scale differential patterns of functional connectedness. In particular, we leverage recent algorithmic advances in extracting contrast subgraphs to identify maximally different mesoscopic connectivity structures between two sets of networks from typically developed individuals and ASD subjects across different developmental stages. A significantly larger connectivity among occipital cortex regions and between the left precuneus and the superior parietal gyrus was found in ASD subjects. At the same time, reduced connectivity characterized the superior frontal gyrus and the temporal lobe regions. More importantly, our results reconcile within a single framework multiple previous separate observations about functional connectivity alterations in ASD.

Indexed as

Autism Spectrum DisorderBrainConnectomeNerve NetAdolescentAdultBrain MappingChildFemaleHumansMagnetic Resonance ImagingMaleParietal LobeYoung AdultAutism spectrum disorderContrast subgraphsFunctional brain networksFunctional connectivityNetwork neuroscience

Identifiers

PMID40624109
PMCPMC12234876

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.