Investigating robust associations between functional connectivity based on graph theory and general intelligence.

Previous research investigating relations between general intelligence and graph-theoretical properties of the brain's intrinsic functional network has yielded contradictory results. A promising approach to tackle such mixed findings is multi-center analysis. For this study, we analyzed data from four independent data sets (total N > 2000) to identify robust associations amongst samples between g factor scores and global as well as node-specific graph metrics.

Robust associations between white matter microstructure and general intelligence.

Few tract-based spatial statistics (TBSS) studies have investigated the relations between intelligence and white matter microstructure in healthy (young) adults, and those have yielded mixed observations, yet white matter is fundamental for efficient and accurate information transfer throughout the human brain. We used a multicenter approach to identify white matter regions that show replicable structure-function associations, employing data from 4 independent samples comprising over 2000 healthy participants. TBSS indicated 188 voxels exhibited significant positive associations between g factor scores and fractional anisotropy (FA) in all 4 data sets.

Pain vs. comfort diary: A fully remote app-based experiment.

Background: Focusing on pain while completing a pain diary might have detrimental effects on pain intensity. Inverted comfort ratings might be used instead.

Methods: A fully remote app-based registered experiment was conducted to investigate the effects of a pain versus comfort diary on 7-day recall ratings of pain intensity during a 3-week period.