Jonas Richiardi

Frontoparietal effective connectivity supports working memory in early childhood

This study examines how age and task performance influence frontoparietal effective connectivity during a visuospatial working memory task in children.

Mapping corpus callosum architecture: developmental, genetic, and cognitive correlates in youth

This study characterizes spatial variation in corpus callosum structure and its developmental, genetic, and cognitive correlates using multimodal data from youth.

Defacing biases visual quality assessments of structural MRI

This study assesses how defacing structural MRI images affects quality assessments by humans and automated tools, finding significant human bias and minimal impact on MRIQC metrics.

Delphi: Deep Learning for Polygenic Risk Prediction

Delphi is a deep learning method for polygenic risk prediction that outperforms traditional models and improves performance for under-represented ancestries.

Do you see what I see? Diffusion imaging protocol heterogeneity biases ischemic core volume, location, and clinical associations in acute stroke

This paper shows that differences in diffusion imaging protocols affect ADC maps, leading to variations in infarct core volume, location, and clinical score associations in acute stroke.

Preparing for a second attack: a lesion simulation study on network resilience after stroke

This study uses lesion simulation to show that brain networks become more resilient to future strokes after recovery from an initial lesion.

Genetic variation in CSMD1 affects amygdala connectivity and prosocial behavior

This study identifies a genetic variant in CSMD1 associated with amygdala connectivity and prosocial behavior through a GWAS of brain networks in adolescents.

Distance Is Not Everything In Imaging Genomics Of Functional Networks: Reply To A Commentary On Correlated Gene Expression Supports Synchronous Activity In Brain Networks

The paper responds to a commentary challenging its 2015 findings that gene expression similarity within functional brain networks is higher than expected by chance, and defends the original results.