Evidence map›Paper›PMID 29947148›Full record

ArticleHuman brain mapping2018

Maturational trajectories of local and long-range functional connectivity in autism during face processing.

Fahimeh Mamashli, Sheraz Khan, Hari Bharadwaj, Ainsley Losh, Stephanie M Pawlyszyn, Matti S Hämäläinen, Tal Kenet

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 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

7 authors at 1 institution in 2 countries.

Fahimeh MamashliDepartment of Neurology, MGH, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-7024-943X
Sheraz KhanDepartment of Neurology, MGH, Harvard Medical School, Boston, Massachusetts.
Hari BharadwajDepartment of Neurology, MGH, Harvard Medical School, Boston, Massachusetts.
Ainsley LoshDepartment of Neurology, MGH, Harvard Medical School, Boston, Massachusetts.
Stephanie M PawlyszynDepartment of Neurology, MGH, Harvard Medical School, Boston, Massachusetts.
Matti S HämäläinenAthinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, Massachusetts.
Tal KenetDepartment of Neurology, MGH, Harvard Medical School, Boston, Massachusetts.
Harvard University · US

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Device-Independent Acquisition and Real Time Spatiotemporal Analysis of Clinical Electrophysiology DataU01EB023820 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI MOSHER, JOHN COMPTON, OKADA, YOSHIO · 2017 to 2021
$5.8M
Tools for Large-Scale Platform-Independent MEG Data AnalysisR01EB009048 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI HAMALAINEN, MATTI, LEAHY, RICHARD M · 2009 to 2016
$4.6M
Functional connectivity substrates of social and non-social deficits in ASDR01HD073254 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI KENET, TAL · 2013 to 2017
$3.4M
THERAPEUTIC X-RAY MACHINES10RR015896 · NCRR · VANDERBILT UNIVERSITY · PI FREEMAN, MICHAEL L. · 2000 to 2000
$222k
NIBIB NIH HHS P41 EB015896NIBIB NIH HHS R01 EB009048NIBIB NIH HHS U01 EB023820NICHD NIH HHS R01 HD073254The National Centre for Research Resources P41EB015896The National Institute of Child Health and Development R01HD073254
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is characterized neurophysiologically by, among other things, functional connectivity abnormalities in the brain. Recent evidence suggests that the nature of these functional connectivity abnormalities might not be uniform throughout maturation. Comparing between adolescents and young adults (ages 14-21) with ASD and age- and IQ-matched typically developing (TD) individuals, we previously documented, using magnetoencephalography (MEG) data, that local functional connectivity in the fusiform face areas (FFA) and long-range functional connectivity between FFA and three higher order cortical areas were all reduced in ASD. Given the findings on abnormal maturation trajectories in ASD, we tested whether these results extend to preadolescent children (ages 7-13). We found that both local and long-range functional connectivity were in fact normal in this younger age group in ASD. Combining the two age groups, we found that local and long-range functional connectivity measures were positively correlated with age in TD, but negatively correlated with age in ASD. Last, we showed that local functional connectivity was the primary feature in predicting age in ASD group, but not in the TD group. Furthermore, local functional connectivity was only correlated with ASD severity in the older group. These results suggest that the direction of maturation of functional connectivity for processing of faces from childhood to young adulthood is itself abnormal in ASD, and that during the processing of faces, these trajectory abnormalities are more pronounced for local functional connectivity measures than they are for long-range functional connectivity measures.

Indexed as

Social PerceptionAdolescentAdultAge FactorsAutism Spectrum DisorderCerebral CortexChildConnectomeFacial RecognitionHuman DevelopmentHumansMagnetoencephalographyMaleYoung AdultadolescenceASDcoherencedevelopmentface processingMEGphase amplitude coupling

Identifiers

PMID29947148
PMCPMC6292522
OpenAlexW2811447458

What OpenQuestion holds

Textmetadata
LicenceTDM
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.