Minimal Relationship between Local Gyrification and General Cognitive Ability in Humans
Year: 2019
Type: article
Study design: Observational Study
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.
Source: Cerebral Cortex
Institutions: Boston Children's Hospital, Harvard University, Hartford Hospital, Children's Hospital of Philadelphia, University of Pennsylvania, National Institutes of Health, National Institute of Mental Health, The University of Texas at San Antonio Health Science Center, The University of Texas Rio Grande Valley, South Texas Veterans Health Care System
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
Awards: G1700758416, 1/2 Genetics of Brain Structure and Function, Quantitative Trait Locus Mapping in Human Pedigrees, G3907386461, 2/2 Genetics of Brain Structure and Function, G4896177567, Genetics of Brain Structure and Function: Genome-Wide Association, Solar-Eclipse Computational Tools for Imaging Genetics, Combined brain and gene network approaches to the developmental hypothesis of schizophrenia, Hybrid GPU/CPU Computing Resource to Support Connectomic and Genomics, G7239431997, Construction of a Biomedical Research Facility at the U*, QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREES
OpenAlex ID: W3006024574
