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| Home > Publications database > Heritable and robust latent dimension linking cognition and multi-featured brain structure in healthy adults |
| Home > Publications database > Heritable and robust latent dimension linking cognition and multi-featured brain structure in healthy adults |
| Poster (After Call) | FZJ-2021-05297 |
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2021
Abstract: Multivariate methods are promoted to study solid brain-behaviour relationships1,2. Canonical Correlation Analysis (CCA) has been used to analyse latent dimensions of brain-behaviour interindividual variability3–5. However, more robust results can be found with regularised CCA (RCCA) and assessing generalizability (model performance in new data) and stability (if different data splits yield similar results)6,7. In addition, the heritability of these dimensions would help understand their genetic load.We studied robust brain-behaviour latent dimensions (Human Connectome Project; n: 1047, mean age: 28.78; 560 females). Brain structure included region-wise Grey Matter Volume (GMV; CAT12), Cortical Thickness and Surface Area (CT and SA respectively; FreeSurfer v5.3). Behavioural data spanned cognition, emotion and mental health. We used RCCA and a novel machine learning framework to optimise generalisability and stability6,7. We also studied the heritability of the latent dimension.We found one significant latent dimension (r=0.46-0.32, p=0.04) positively associated with cognitive-control/executive-functions. CT loadings were negative in associative areas and positive in sensoriomotor areas. SA and GMV loadings were positive on the temporal pole, inferior temporal gyri, pars orbitalis, anterior cingulate cortex and postcentral gyri. GMV loadings were negative in cerebellum and basal ganglia. Heritability of brain (h2=0.85) and behavioural scores (h2=0.82) and their genetic correlation (rhog=0.66) were significant (p<0.000).The dimension found captured variability from higher to lower cognitive-control/executive-functions. Accordingly, brain loadings ranged from lower to higher regions of the brain cortex and were similar to the pattern of cortical expansion during evolution and human development. The brain and behavioural scores were found to be heritable and to have shared genetic factors. Better characterizing these dimensions should help to prevent pathological extremes.
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