Evidence map›Paper›PMID 27242478›Full record

ArticleFrontiers in human neuroscience2016

Reduced Volume of the Arcuate Fasciculus in Adults with High-Functioning Autism Spectrum Conditions.

Rachel L Moseley, Marta M Correia, Simon Baron-Cohen, Yury Shtyrov, Friedemann Pulvermüller, Bettina Mohr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies.Autism research : official journal of the International Society for Autism Research · 2022
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  8. The language network in autism: Atypical functional connectivity with default mode and visual regions.Autism research : official journal of the International Society for Autism Research · 2019
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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

6 authors at 6 institutions in 4 countries.

Rachel L MoseleyDepartment of Psychology, Bournemouth UniversityDorset, UK; Medical Research Council Cognition and Brain Sciences UnitCambridge, UK; Brain Mapping Unit, Department of Psychiatry, University of CambridgeCambridge, UK; Autism Research Centre, Department of Psychiatry, University of CambridgeCambridge, UK.
Marta M CorreiaMedical Research Council Cognition and Brain Sciences Unit Cambridge, UK.
Simon Baron-CohenAutism Research Centre, Department of Psychiatry, University of CambridgeCambridge, UK; Cambridge Lifespan Asperger Syndrome Service Clinic, Cambridgeshire and Peterborough National Health Service Foundation TrustCambridge, UK.
Yury ShtyrovMedical Research Council Cognition and Brain Sciences UnitCambridge, UK; Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus UniversityAarhus, Denmark; Centre for Cognition and Decision Making, National Research University Higher School of EconomicsMoscow, Russia.
Friedemann PulvermüllerMedical Research Council Cognition and Brain Sciences UnitCambridge, UK; Brain Language Laboratory, Freie Universität BerlinBerlin, Germany.
Bettina MohrDepartment of Psychiatry, Charité-Universitätsmedizin Berlin Berlin, Germany.
Bournemouth University · GBCharité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DEMedical Research Council · GBNational Health Service · GBNational Research University Higher School of Economics · RU

Funding

Medical Research Council G0600977Medical Research Council MC_U105579212Medical Research Council MC_U105580445Medical Research Council MC_U105597122Medical Research Council MR/K005464/1
6 · The paper itself

Abstract

Atypical language is a fundamental feature of autism spectrum conditions (ASC), but few studies have examined the structural integrity of the arcuate fasciculus, the major white matter tract connecting frontal and temporal language regions, which is usually implicated as the main transfer route used in processing linguistic information by the brain. Abnormalities in the arcuate have been reported in young children with ASC, mostly in low-functioning or non-verbal individuals, but little is known regarding the structural properties of the arcuate in adults with ASC or, in particular, in individuals with ASC who have intact language, such as those with high-functioning autism or Asperger syndrome. We used probabilistic tractography of diffusion-weighted imaging to isolate and scrutinize the arcuate in a mixed-gender sample of 18 high-functioning adults with ASC (17 Asperger syndrome) and 14 age- and IQ-matched typically developing controls. Arcuate volume was significantly reduced bilaterally with clearest differences in the right hemisphere. This finding remained significant in an analysis of all male participants alone. Volumetric reduction in the arcuate was significantly correlated with the severity of autistic symptoms as measured by the Autism-Spectrum Quotient. These data reveal that structural differences are present even in high-functioning adults with ASC, who presented with no clinically manifest language deficits and had no reported developmental language delay. Arcuate structural integrity may be useful as an index of ASC severity and thus as a predictor and biomarker for ASC. Implications for future research are discussed.

Indexed as

arcuate fasciculusAsperger syndromeautismdiffusion-weighted imaging (DWI)language

Identifiers

PMID27242478
PMCPMC4867673
OpenAlexW2378640516

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.