Literature DB >> 30499747

Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study.

Gideon Nave1, Wi Hoon Jung2,3, Richard Karlsson Linnér4, Joseph W Kable1,3, Philipp D Koellinger4.   

Abstract

A positive relationship between brain volume and intelligence has been suspected since the 19th century, and empirical studies seem to support this hypothesis. However, this claim is controversial because of concerns about publication bias and the lack of systematic control for critical confounding factors (e.g., height, population structure). We conducted a preregistered study of the relationship between brain volume and cognitive performance using a new sample of adults from the United Kingdom that is about 70% larger than the combined samples of all previous investigations on this subject ( N = 13,608). Our analyses systematically controlled for sex, age, height, socioeconomic status, and population structure, and our analyses were free of publication bias. We found a robust association between total brain volume and fluid intelligence ( r = .19), which is consistent with previous findings in the literature after controlling for measurement quality of intelligence in our data. We also found a positive relationship between total brain volume and educational attainment ( r = .12). These relationships were mainly driven by gray matter (rather than white matter or fluid volume), and effect sizes were similar for both sexes and across age groups.

Entities:  

Keywords:  UK Biobank; brain volume; educational attainment; intelligence; open data; open materials; preregistered; preregistered analysis

Mesh:

Year:  2018        PMID: 30499747     DOI: 10.1177/0956797618808470

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  21 in total

1.  Genetic underpinnings of risky behaviour relate to altered neuroanatomy.

Authors:  Gökhan Aydogan; Remi Daviet; Richard Karlsson Linnér; Todd A Hare; Joseph W Kable; Henry R Kranzler; Reagan R Wetherill; Christian C Ruff; Philipp D Koellinger; Gideon Nave
Journal:  Nat Hum Behav       Date:  2021-01-28

2.  Neurostructural Heterogeneity in Youths With Internalizing Symptoms.

Authors:  Antonia N Kaczkurkin; Aristeidis Sotiras; Erica B Baller; Ran Barzilay; Monica E Calkins; Ganesh B Chand; Zaixu Cui; Guray Erus; Yong Fan; Raquel E Gur; Ruben C Gur; Tyler M Moore; David R Roalf; Adon F G Rosen; Kosha Ruparel; Russell T Shinohara; Erdem Varol; Daniel H Wolf; Christos Davatzikos; Theodore D Satterthwaite
Journal:  Biol Psychiatry       Date:  2019-09-18       Impact factor: 13.382

3.  Population modeling with machine learning can enhance measures of mental health.

Authors:  Kamalaker Dadi; Gaël Varoquaux; Josselin Houenou; Danilo Bzdok; Bertrand Thirion; Denis Engemann
Journal:  Gigascience       Date:  2021-10-13       Impact factor: 6.524

4.  Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use.

Authors:  Jill A Rabinowitz; Adrian I Campos; Jue-Sheng Ong; Luis M García-Marín; Sarael Alcauter; Brittany L Mitchell; Katrina L Grasby; Gabriel Cuéllar-Partida; Nathan A Gillespie; Andrew S Huhn; Nicholas G Martin; Paul M Thompson; Sarah E Medland; Brion S Maher; Miguel E Rentería
Journal:  Cereb Cortex       Date:  2022-02-08       Impact factor: 4.861

5.  Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study.

Authors:  Anca-Larisa Sandu; Gordon D Waiter; Roger T Staff; Nafeesa Nazlee; Tina Habota; Chris J McNeil; Dorota Chapko; Justin H Williams; Caroline H D Fall; Giriraj R Chandak; Shailesh Pene; Murali Krishna; Andrew M McIntosh; Heather C Whalley; Kalyanaraman Kumaran; Ghattu V Krishnaveni; Alison D Murray
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

6.  A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.

Authors:  Yunan Wu; Pierre Besson; Emanuel A Azcona; S Kathleen Bandt; Todd B Parrish; Hans C Breiter; Aggelos K Katsaggelos
Journal:  Sci Rep       Date:  2022-10-22       Impact factor: 4.996

7.  Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample.

Authors:  Ruben C Gur; Ellyn R Butler; Tyler M Moore; Adon F G Rosen; Kosha Ruparel; Theodore D Satterthwaite; David R Roalf; Efstathios D Gennatas; Warren B Bilker; Russell T Shinohara; Allison Port; Mark A Elliott; Ragini Verma; Christos Davatzikos; Daniel H Wolf; John A Detre; Raquel E Gur
Journal:  Cereb Cortex       Date:  2021-02-05       Impact factor: 5.357

8.  Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction.

Authors:  Perline A Demange; Margherita Malanchini; Travis T Mallard; Pietro Biroli; Simon R Cox; Andrew D Grotzinger; Elliot M Tucker-Drob; Abdel Abdellaoui; Louise Arseneault; Elsje van Bergen; Dorret I Boomsma; Avshalom Caspi; David L Corcoran; Benjamin W Domingue; Kathleen Mullan Harris; Hill F Ip; Colter Mitchell; Terrie E Moffitt; Richie Poulton; Joseph A Prinz; Karen Sugden; Jasmin Wertz; Benjamin S Williams; Eveline L de Zeeuw; Daniel W Belsky; K Paige Harden; Michel G Nivard
Journal:  Nat Genet       Date:  2021-01-07       Impact factor: 38.330

9.  Morphometric traits predict educational attainment independently of socioeconomic background.

Authors:  Markus Valge; Richard Meitern; Peeter Hõrak
Journal:  BMC Public Health       Date:  2019-12-18       Impact factor: 3.295

10.  Structural brain imaging correlates of general intelligence in UK Biobank.

Authors:  S R Cox; S J Ritchie; C Fawns-Ritchie; E M Tucker-Drob; I J Deary
Journal:  Intelligence       Date:  2019 Sep-Oct
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