Lingual Gyrus Surface Area Is Associated with Anxiety-Depression Severity in Young Adults: A Genetic Clustering Approach
Year: 2018
Type: article
Study design: Observational Study
Abstract: Here we aimed to identify cortical endophenotypes for anxiety-depression. Our data-driven approach used vertex-wise genetic correlations (estimated from a twin sample: 157 monozygotic and 194 dizygotic twin pairs) to parcellate cortical thickness (CT) and surface area (SA) into genetically homogeneous regions (Chen et al., 2013). In an overlapping twin and sibling sample (n= 834; aged 15–29, 66% female), in those with anxiety-depression Somatic and Psychological Health Report (SPHERE) scores (Hickie et al., 2001) above median, we found a reduction of SA in an occipito-temporal cluster, which comprised part of the right lingual, fusiform and parahippocampal gyrii. A similar reduction was observed in the Human Connectome Project (HCP) sample (n= 890, age 22–37, 56.5% female) in those with Adult Self Report (ASR) DSM-oriented scores (Achenbach et al., 2005) in the 25–95% quantiles. Apost hocvertex-wise analysis identified the right lingual and, to a lesser extent the fusiform gyrus. Overall, the surface reduction explained by the anxiety-depression scores was modest (r= −0.10, 3rd order spline, andr= −0.040, 1st order spline in the HCP). The discordant results in the top 5% of the anxiety-depression scores may be explained by differences in recruitment between the studies. However, we could not conclude whether this cortical region was an endophenotype for anxiety-depression as the genetic correlations did not reach significance, which we attribute to the modest effect size (post hocstatistical power <10%).
Source: eNeuro
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,925
Funders: National Institutes of Health, Medical Research Council, Australian Research Council, National Health and Medical Research Council, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, NIH Blueprint for Neuroscience Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Brain imaging study of twins, G2346749113, Genetic influences on the brain: A twin imaging study, Mapping the Human Connectome: Structure, Function, and Heritability, G3506393344, G3848525072, Genome-wide combined linkage-association scan of multiply phenotyped twin sibships, Genetics of brain structure and function, G5938296382, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, G6389824285, G6532749405, Quantitative and Molecular Genetic Analysis of Cognition, Laboratory of Neuro Imaging Resource (LONIR), G9000089182, G9000210308
OpenAlex ID: W2783409364
