Evidence map›Paper›PMID 26792368›Full record

ArticleNeuropsychologia2016

Structural asymmetry of the human cerebral cortex: Regional and between-subject variability of surface area, cortical thickness, and local gyrification.

Christine Chiarello, David Vazquez, Adam Felton, Alessandra McDowell

Abstract read
In one paragraph

Article in Neuropsychologia, 2016. 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
–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

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

  1. Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Pooled it
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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

4 authors.

Christine ChiarelloUniversity of California, Riverside, USA. Electronic address: christine.chiarello@ucr.edu.
David VazquezUniversity of California, Riverside, USA.
Adam FeltonUniversity of California, Riverside, USA.
Alessandra McDowellUniversity of California, Riverside, USA.

Funding

Biological Substrates for LanguageR01DC006957 · NIDCD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHIARELLO, CHRISTINE L. · 2004 to 2006
$887k
NIDCD NIH HHS R01 DC006957
6 · The paper itself

Abstract

Structural asymmetry varies across individuals, brain regions, and metrics of cortical organization. The current study investigated regional differences in asymmetry of cortical surface area, thickness, and local gyrification, and the extent of between-subject variability in these metrics, in a sample of healthy young adults (N=200). Between-subject variability in cortical structure may provide a means to assess the extent of biological flexibility or constraint of brain regions, and we explored the potential influence of this variability on the phenotypic expression of structural asymmetry. The findings demonstrate that structural asymmetries are nearly ubiquitous across the cortex, with differing regional organization for the three cortical metrics. This implies that there are multiple, only partially overlapping, maps of structural asymmetry. The results further indicate that the degree of asymmetry of a brain region can be predicted by the extent of the region's between-subject variability. These findings provide evidence that reduced biological constraint promotes the expression of strong structural asymmetry.

Indexed as

AdolescentAdultCerebral CortexFemaleFunctional LateralityHumansMagnetic Resonance ImagingMaleOrgan SizeYoung AdultCortical parcellationCortical thicknessCortical variabilityLocal gyrificationStructural asymmetrySurface area

Identifiers

PMID26792368
PMCPMC4947520

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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.