Evidence map›Paper›PMID 31464062›Full record

ArticleHuman brain mapping2019

Enhancement of indirect functional connections with shortest path length in the adult autistic brain.

Xiaonan Guo, Tiago Simas, Meng-Chuan Lai, Michael V Lombardo, Bhismadev Chakrabarti, Amber N V Ruigrok, Edward T Bullmore, Simon Baron-Cohen, Huafu Chen, John Suckling and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

11 authors at 4 institutions in 6 countries.

Xiaonan GuoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation; School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.ORCID 0000-0003-1400-4478
Tiago SimasBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Meng-Chuan LaiCentre for Addiction and Mental Health and the Hospital for Sick Children, Department of Psychiatry, University of Toronto, Toronto, Canada.
Michael V LombardoAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Bhismadev ChakrabartiAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Amber N V RuigrokAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Edward T BullmoreBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Simon Baron-CohenAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Huafu ChenThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation; School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.ORCID 0000-0002-4062-4753
John SucklingBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
MRC AIMS Consortium
University of Cambridge · GBMRC Cognition and Brain Sciences Unit · GBUniversity of Electronic Science and Technology of China · CNCentre for Addiction and Mental Health · CA

Funding

Academic Scholar AwardAutism Research TrustBritish AcademyChina Scholarship Council 201706070063EFPIA companies; Centre for Addiction and Mental Health (CAMH) FoundationEuropean Autism Interventions - a Multicentre Study for Developing New Medications (EU-AIMS)European Union's Seventh Framework Programme FP7/2007-2013Fundamental Research Funds for the Central Universities 2672018ZYGX2018J079Fundamental Research Funds for the Central Universities ZYGX2016J187Innovative Medicines Initiative Joint Undertaking 115300Jesus College CambridgeMedical Research CouncilNational Institute for Health Research Cambridge Biomedical Research CentreNational Natural Science Foundation of China 61533006National Natural Science Foundation of China 61673089National Natural Science Foundation of China 81771919National Natural Science Foundation of China 81871432O'Brien Scholars Program in the Child and Youth Mental Health CollaborativeOntario Brain InstituteSichuan Science and Technology Program 2018TJPT0016Slaight Family Child and Youth Mental Health Innovation FundSpecialized Research Fund for the Doctoral Program of Higher Education of China 20120185110028UK Medical Research Council GO 400061Wellcome TrustWellcome Trust and an ERC Starting Grant (ERC-2017-STG; 755816)
6 · The paper itself

Abstract

Autism is a neurodevelopmental condition characterized by atypical brain functional organization. Here we investigated the intrinsic indirect (semi-metric) connectivity of the functional connectome associated with autism. Resting-state functional magnetic resonance imaging scans were acquired from 65 neurotypical adults (33 males/32 females) and 61 autistic adults (30 males/31 females). From functional connectivity networks, semi-metric percentages (SMPs) were calculated to assess the proportion of indirect shortest functional pathways at global, hemisphere, network, and node levels. Group comparisons were then conducted to ascertain differences between autism and neurotypical control groups. Finally, the strength and length of edges were examined to explore the patterns of semi-metric connections associated with autism. Compared with neurotypical controls, autistic adults displayed significantly higher SMP at all spatial scales, similar to prior observations in adolescents. Differences were primarily in weaker, longer-distance edges in the majority between networks. However, no significant diagnosis-by-sex interaction effects were observed on global SMP. These findings suggest increased indirect functional connectivity in the autistic brain is persistent from adolescence to adulthood and is indicative of reduced functional network integration.

Indexed as

AdultAutistic DisorderBrainConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung Adultautismfunctional connectivityfunctional magnetic resonance imagingresting-statesemi-metricity

Identifiers

PMID31464062
PMCPMC6864892
OpenAlexW2970232900

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.