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Status: Unchecked ×Keyword: personality ×Clear all

3 claims from 1 paper

1. Neuroscience › Functional Brain Connectivity Studies

   Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion

   Kong, Li, Orbán et al. · Cerebral Cortex · 2018

   The authors propose a hierarchical Bayesian model for mapping individual-specific cortical networks and test whether the spatial layout of these networks can predict cognition, personality and emotion.

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   1. UncheckedThe paper reports that its MS-HBM brain-network maps generalised better to new resting-state and task fMRI data from the same people than other methods did.“Compared with other approaches, MS-HBM parcellations generalized better to new rs-fMRI and task-fMRI data from the same subjects.”
   2. UncheckedIndividual-specific brain network layouts predicted behaviour across cognition, personality and emotion with modest accuracy, similar to connectivity-strength approaches.“We also showed that behavioral phenotypes across cognition, personality, and emotion could be predicted by individual-specific network topography with modest accuracy, comparable to previous reports predicting phenotypes based on connectivity strength.”
   3. UncheckedNetwork layouts estimated with MS-HBM predicted behaviour better than network size did, and better than layouts from other parcellation methods.“Network topography estimated by MS-HBM was more effective for behavioral prediction than network size, as well as network topography estimated by other parcellation approaches.”