Evidence map›Paper›PMID 28734059›Full record

ArticleHuman brain mapping2017

Localized reductions in resting-state functional connectivity in children with prenatal alcohol exposure.

Jia Fan, Paul A Taylor, Sandra W Jacobson, Christopher D Molteno, Suril Gohel, Bharat B Biswal, Joseph L Jacobson, Ernesta M Meintjes

Abstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.9field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Impact of Prenatal Alcohol Exposure on Cerebral Cortex Development.Advances in experimental medicine and biology · 2026
    Review
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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

8 authors at 3 institutions in 2 countries.

Jia FanMRC/UCT Medical Imaging Research Unit, Division of Biomedical Engineering, University of Cape Town, South Africa.ORCID 0000-0002-0443-5904
Paul A TaylorMRC/UCT Medical Imaging Research Unit, Division of Biomedical Engineering, University of Cape Town, South Africa.
Sandra W JacobsonDepartment of Human Biology, University of Cape Town, South Africa.
Christopher D MoltenoDepartment of Psychiatry and Mental Health, University of Cape Town, South Africa.
Suril GohelDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey.ORCID 0000-0002-3710-3500
Joseph L JacobsonDepartment of Human Biology, University of Cape Town, South Africa.
Ernesta M MeintjesMRC/UCT Medical Imaging Research Unit, Division of Biomedical Engineering, University of Cape Town, South Africa.
University of Cape Town · ZANew Jersey Institute of Technology · USNational Institutes of Health · US

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Neural Bases of Eyeblink Conditioning in FASDR01AA016781 · NIAAA · WAYNE STATE UNIVERSITY · PI JACOBSON, SANDRA W. · 2008 to 2012
$2.5M
Identification of FASD in South African ChildrenU01AA014790 · NIAAA · WAYNE STATE UNIVERSITY · PI JACOBSON, SANDRA W. · 2003 to 2005
$501k
Neuroimaging Technology for Pediatric Development Disorders in South AfricaR21AA017410 · NIAAA · MASSACHUSETTS GENERAL HOSPITAL · PI MEINTJES, ERNESTA MARIA, VAN DER KOUWE, ANDRE JAN WILLEM · 2008 to 2009
$254k
NIAAA NIH HHS R01 AA016781NIAAA NIH HHS R21 AA017410NIAAA NIH HHS U01 AA014790
6 · The paper itself

Abstract

Fetal alcohol spectrum disorders (FASD) are characterized by impairment in cognitive function that may or may not be accompanied by craniofacial anomalies, microcephaly, and/or growth retardation. Resting-state functional MRI (rs-fMRI), which examines the low-frequency component of the blood oxygen level dependent (BOLD) signal in the absence of an explicit task, provides an efficient and powerful mechanism for studying functional brain networks even in low-functioning and young subjects. Studies using independent component analysis (ICA) have identified a set of resting-state networks (RSNs) that have been linked to distinct domains of cognitive and perceptual function, which are believed to reflect the intrinsic functional architecture of the brain. This study is the first to examine resting-state functional connectivity within these RSNs in FASD. Rs-fMRI scans were performed on 38 children with FASD (19 with either full fetal alcohol syndrome (FAS) or partial FAS (PFAS), 19 nonsyndromal heavily exposed (HE)), and 19 controls, mean age 11.3 ± 0.9 years, from the Cape Town Longitudinal Cohort. Nine resting-state networks were generated by ICA. Voxelwise group comparison between a combined FAS/PFAS group and controls revealed localized dose-dependent functional connectivity reductions in five regions in separate networks: anterior default mode, salience, ventral and dorsal attention, and R executive control. The former three also showed lower connectivity in the HE group. Gray matter connectivity deficits in four of the five networks appear to be related to deficits in white matter tracts that provide intra-RSN connections. Hum Brain Mapp 38:5217-5233, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

BrainBrain MappingChildDose-Response Relationship, DrugEmotionsFetal Alcohol Spectrum DisordersGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingNeural PathwaysRestRetrospective StudiesSeverity of Illness Indexfetal alcohol spectrum disordersfractional amplitude of low-frequency fluctuationregional homogeneityresting-state functional connectivityresting-state functional MRI

Identifiers

PMID28734059
PMCPMC6377933
OpenAlexW2738931995

What OpenQuestion holds

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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.