Evidence map›Paper›PMID 24068330›Full record

ArticleJAMA psychiatry2013

Identifying large-scale brain networks in fragile X syndrome.

Scott S Hall, Heidi Jiang, Allan L Reiss, Michael D Greicius

Abstract read
In one paragraph

Article in JAMA psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
3.7field-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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  18. Developmental studies in fragile X syndrome.Journal of neurodevelopmental disorders · 2020
    Review
  19. Article
  20. Insular Cortex Projections to Nucleus Accumbens Core Mediate Social Approach to Stressed Juvenile Rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
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 at 2 institutions in 1 country.

Scott S HallCenter for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
Heidi Jiang
Allan L Reiss
Michael D Greicius
Stanford University · USNorthwestern University · US

Funding

Longitudinal MRI Study of Brain Development in Fragile XR01MH064708 · NIMH · STANFORD UNIVERSITY · PI PIVEN, JOSEPH, REISS, ALLAN L · 2002 to 2016
$8.1M
Development of Resting-State fMRI as a Biomarker for Alzheimers DiseaseR01NS073498 · NINDS · STANFORD UNIVERSITY · PI GREICIUS, MICHAEL D · 2010 to 2014
$2.2M
Evaluating a Brief Intensive Intervention for Children with Fragile X SyndromeK08MH081998 · NIMH · STANFORD UNIVERSITY · PI HALL, SCOTT S · 2008 to 2012
$864k
NIMH NIH HHS K08 MH081998NIMH NIH HHS K08MH081998NIMH NIH HHS MH064708NIMH NIH HHS R01 MH064708NINDS NIH HHS NS073498NINDS NIH HHS R01 NS073498
6 · The paper itself

Abstract

importanceFragile X syndrome (FXS) is an X-linked neurogenetic disorder characterized by a cognitive and behavioral phenotype resembling features of autism spectrum disorder. Until now, research has focused largely on identifying regional differences in brain structure and function between individuals with FXS and various control groups. Very little is known about the large-scale brain networks that may underlie the cognitive and behavioral symptoms of FXS.

objectiveTo identify large-scale, resting-state networks in FXS that differ from control individuals matched on age, IQ, and severity of behavioral and cognitive symptoms. DESIGN, SETTING, AND

participantsCross-sectional, in vivo neuroimaging study conducted in an academic medical center. Participants (aged 10-23 years) included 17 males and females with FXS and 16 males and females serving as controls. MAIN OUTCOMES AND MEASURES: Univariate voxel-based morphometric analyses, fractional amplitude of low-frequency fluctuations (fALFF) analysis, and group-independent component analysis with dual regression.

resultsPatients with FXS showed decreased functional connectivity in the salience, precuneus, left executive control, language, and visuospatial networks compared with controls. Decreased fALFF in the bilateral insular, precuneus, and anterior cingulate cortices also was found in patients with FXS compared with control participants. Furthermore, fALFF in the left insular cortex was significantly positively correlated with IQ in patients with FXS. Decreased gray matter density, resting-state connectivity, and fALFF converged in the left insular cortex in patients with FXS. CONCLUSIONS AND RELEVANCE: Fragile X syndrome results in widespread reductions in functional connectivity across multiple cognitive and affective brain networks. Converging structural and functional abnormalities in the left insular cortex, a region also implicated in individuals diagnosed with autism spectrum disorder, suggests that insula integrity and connectivity may be compromised in FXS. This method could prove useful in establishing an imaging biomarker for FXS.

Indexed as

AdolescentBrainCase-Control StudiesCerebral CortexChildFemaleFragile X SyndromeFunctional NeuroimagingHumansIntelligenceMaleNerve Fibers, UnmyelinatedNeural PathwaysNeuroimagingYoung Adult

Identifiers

PMID24068330
PMCPMC4040266
OpenAlexW2127964062

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.