Marlee M. Vandewouw

The paper models the genetic architecture of cortical expansion using GWAS data and links it to neuropsychiatric disorders.

This study identifies unique functional connectivity patterns in autism associated with five sensory processing phenotypes using machine learning.

This study uses deep learning to predict internalizing problems from brain structure in youth, finding good performance in neurodevelopmental conditions but sub-optimal in the general population.

The paper examines multisensory integration network (MSN) functional connectivity in neurodevelopmental disorders and finds that sensory characteristics, not diagnoses, drive the observed neural patterns.

The paper uses OPM-MEG to measure visual gamma oscillations in children and adults, showing age-related changes in excitatory-inhibitory balance in visual cortex.

The paper examines age-related changes in brain structure and function across two neurodiverse datasets, finding differences linked to demographic and clinical factors.

This study examines age-related changes in periodic and aperiodic brain activity using optically pumped magnetometers across different age groups.

This study examines how structural and functional brain connectivity change with age, showing nonlinear developmental patterns and frequency-dependent relationships.