Evidence map›Paper›PMID 24994509›Full record

ArticleDevelopmental neuroscience2014

Structural brain imaging in children and adolescents following prenatal cocaine exposure: preliminary longitudinal findings.

Nurunisa Akyuz, Minal V Kekatpure, Jie Liu, Stephen J Sheinkopf, Brian T Quinn, Meenakshi D Lala, David Kennedy, Nikos Makris, Barry M Lester, Barry E Kosofsky

Abstract read
In one paragraph

Article in Developmental neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Cocaine-induced neurodevelopmental deficits and underlying mechanisms.Birth defects research. Part C, Embryo today : reviews · 2016
    Review
  7. Review
  8. Article
  9. 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

10 authors.

Nurunisa AkyuzDepartments of Neurology and Neuroscience, Weill Cornell Medical College, New York, N.Y., USA.
Minal V Kekatpure
Jie Liu
Stephen J Sheinkopf
Brian T Quinn
Meenakshi D Lala
David Kennedy
Nikos Makris
Barry M Lester
Barry E Kosofsky

Funding

TISSUE CULTURE CORE FACILITYP30HD004147 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CURTIN, CAROL · 1985 to 2014
$9.1M
NICHD Cooperative Multicenter Neonatal Research NetworkU10HD027904 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI LAPTOOK, ABBOT R · 1991 to 2015
$8.7M
Exposing the Deep Content of the Publication: Knowledge Extraction for Neuroimaging in Child PsychiatryR01MH083320 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FRAZIER, JEAN A, KENNEDY, DAVID NELSON · 2009 to 2020
$6.3M
Maternal Lifestyle Study Phase 5U10DA024119 · NIDA · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI LESTER, BARRY M. · 2007 to 2011
$4.4M
Structural MR Analyses of Drug Exposed BrainsR01DA017905 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSOFSKY, BARRY E · 2004 to 2008
$2.0M
COCAINE-ALTERED BRAIN GROWTH--DOPAMINE KNOCKOUT ANALYSISK02DA000354 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSOFSKY, BARRY E · 1998 to 2010
$932k
NEURODEVELOPMENT OF INFANTS EXPOSED TO DRUGS IN-UTERON01HD023159 · NICHD · EMMA PENDLETON BRADLEY HOSPITAL · PI LESTER, BARRY M. · 1992 to 2000
$385k
NICHD NIH HHS N01-HD-2-3159NICHD NIH HHS P30 HD004147NICHD NIH HHS U10-HD-27904NIDA NIH HHS DA000354NIDA NIH HHS DA17905NIDA NIH HHS K02 DA000354NIDA NIH HHS R01 DA017905NIDA NIH HHS U10-DA-024119-01NIMH NIH HHS R01 MH083320
6 · The paper itself

Abstract

The brain morphometry of 21 children, who were followed from birth and underwent structural brain magnetic resonance imaging at 8-10 years, was studied. This cohort included 11 children with prenatal cocaine exposure (CE) and 10 noncocaine-exposed children (NCE). We compared the CE versus NCE groups using FreeSurfer to automatically segment and quantify the volume of individual brain structures. In addition, we created a pediatric atlas specifically for this population and demonstrate the enhanced accuracy of this approach. We found an overall trend towards smaller brain volumes among CE children. The volume differences were significant for cortical gray matter, the thalamus and the putamen. Here, reductions in thalamic and putaminal volumes showed a robust inverse correlation with exposure levels, thus highlighting effects on dopamine-rich brain regions that form key components of brain circuitry known to play important roles in behavior and attention. Interestingly, head circumferences (HCs) at birth as well as at the time of imaging showed a tendency for smaller size among CE children. HCs at the time of imaging correlated well with the cortical volumes for all subjects. In contrast, HCs at birth were predictive of the cortical volume only for the CE group. A subgroup of these subjects (6 CE, 4 NCE) was also scanned at 13-15 years of age. In subjects who were scanned twice, we found that the trend for smaller structures continued into teenage years. We found that the differences in structural volumes between the CE and NCE groups are largely diminished when the HCs are controlled for or matched by study design. Participants in this study were drawn from a unique longitudinal cohort and, while the small sample size precludes strong conclusions regarding the longitudinal findings reported, the results point to reductions in HCs and in specific brain structures that persist through teenage years in children who were exposed to cocaine in utero.

Indexed as

AdolescentAdultBrainChildCocaineCocaine-Related DisordersCohort StudiesDose-Response Relationship, DrugFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMalePregnancyPrenatal Exposure Delayed EffectsCocaine

Identifiers

PMID24994509
PMCPMC4125447

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Registered trials

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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.