Evidence map›Paper›PMID 32037459›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Minimal Relationship between Local Gyrification and General Cognitive Ability in Humans.

Samuel R Mathias, Emma E M Knowles, Josephine Mollon, Amanda Rodrigue, Marinka M C Koenis, Aaron F Alexander-Bloch, Anderson M Winkler, Rene L Olvera, Ravi Duggirala, Harald H H Göring and 5 more

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 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

15 authors at 7 institutions in 1 country.

Samuel R MathiasDepartment of Psychiatry, Boston Children's Hospital, Boston, MA 02115, USA.
Emma E M KnowlesDepartment of Psychiatry, Boston Children's Hospital, Boston, MA 02115, USA.
Josephine MollonDepartment of Psychiatry, Boston Children's Hospital, Boston, MA 02115, USA.
Amanda RodrigueDepartment of Psychiatry, Boston Children's Hospital, Boston, MA 02115, USA.
Marinka M C KoenisOlin Neuropsychiatric Research Center, Hartford Hospital, Harford, CT 06106, USA.
Aaron F Alexander-BlochDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, and Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Anderson M WinklerSection on Development and Affective Neuroscience, National Institute of Mental Health, Bethesda, MD 20892, USA.
Rene L OlveraDepartment of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Ravi DuggiralaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA.
Harald H H GöringDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA.
Joanne E CurranDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Laura AlmasyDepartment of Genetics, University of Pennsylvania and Department of Biomedical and Health Informatics at Children's Hospital of Philadelphia, Philadelphia, PA19104, USA.
John BlangeroResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
David C GlahnDepartment of Psychiatry, Boston Children's Hospital, Boston, MA 02115, USA.
Harvard University · USThe University of Texas Health Science Center at San Antonio · USThe University of Texas Rio Grande Valley · USUniversity of Pennsylvania · USBoston Children's Hospital · USHartford Hospital · USNational Institute of Mental Health · US

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
Combined brain and gene network approaches to the developmental hypothesis of schizophreniaK08MH120564 · NIMH · YALE UNIVERSITY · PI ALEXANDER-BLOCH, AARON FELIX · 2019 to 2023
$923k
Hybrid GPU/CPU Computing Resource to Support Connectomic and GenomicsS10OD023696 · OD · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V. · 2018 to 2018
$593k
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NCRR NIH HHS C06 RR020547NIBIB NIH HHS R01 EB015611NIH HHS S10 OD023696NIMH NIH HHS K08 MH120564NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Previous studies suggest that gyrification is associated with superior cognitive abilities in humans, but the strength of this relationship remains unclear. Here, in two samples of related individuals (total N = 2882), we calculated an index of local gyrification (LGI) at thousands of cortical surface points using structural brain images and an index of general cognitive ability (g) using performance on cognitive tests. Replicating previous studies, we found that phenotypic and genetic LGI-g correlations were positive and statistically significant in many cortical regions. However, all LGI-g correlations in both samples were extremely weak, regardless of whether they were significant or nonsignificant. For example, the median phenotypic LGI-g correlation was 0.05 in one sample and 0.10 in the other. These correlations were even weaker after adjusting for confounding neuroanatomical variables (intracranial volume and local cortical surface area). Furthermore, when all LGIs were considered together, at least 89% of the phenotypic variance of g remained unaccounted for. We conclude that the association between LGI and g is too weak to have profound implications for our understanding of the neurobiology of intelligence. This study highlights potential issues when focusing heavily on statistical significance rather than effect sizes in large-scale observational neuroimaging studies.

Indexed as

AdolescentAdultAgedAged, 80 and overCerebral CortexCognitionFemaleHumansIntelligenceMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsYoung Adultcognitiongeneral intelligencegyrification

Identifiers

PMID32037459
PMCPMC7233007
OpenAlexW3006024574

What OpenQuestion holds

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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.