Manfred G. Kitzbichler

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

The paper investigates the association between obesity and two brain systems using MRI data from UK Biobank participants, finding distinct structural and genetic relationships.

The paper examines sex differences in brain network development during adolescence and links them to depression risk, finding divergent patterns in functional connectivity and gene expression.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

The paper identifies two modes of brain-behavior covariation in adolescents and young adults using canonical correlation analysis, linking brain connectivity to psychometric, IQ, and demographic data.

The paper identifies two modes of brain functional connectivity change during adolescence: conservative and disruptive, with distinct patterns in primary and association cortex.

The paper examines how beta and gamma frequency bands mediate different aspects of cortical resting-state network maturation from age 7 to 29.