Valeria Kebets

The paper examines associations between epilepsy-related polygenic risk scores and brain morphology in children, finding PRS-related cortical thinning linked to structural patterns in TLE-HS patients.

The paper shares a multimodal 7T MRI dataset of ten healthy individuals, providing structural and functional brain data across multiple imaging modalities and parcellation scales.

The paper identifies multimodal brain network patterns associated with dimensions of psychopathology using the Adolescent Brain Cognitive Development dataset.

This study finds reduced cortex-wide connectivity distance in ASD, indicating shorter average connection length and increased short-range connectivity, particularly in transmodal brain systems.

The paper identifies three ASD subtypes using morphometric similarity networks and finds distinct transcriptomic and functional connectome patterns associated with each subtype.

This study identifies sleep-biopsychosocial profiles in healthy adults by linking sleep patterns to health, cognition, and lifestyle factors, revealing distinct brain network organization patterns.

This study uses multimodal imaging and connectivity modeling to show that polysynaptic mechanisms are implicated in autism spectrum disorder, with reduced structure-function coupling in transmodal networks.

This study assesses memory impairments in temporal lobe epilepsy patients across episodic, semantic, and spatial domains using behavioral tests and statistical analysis.

The paper identifies a shared cortical morphology dimension across six psychiatric conditions using MRI data from 28,546 participants.

This study shows that social imitation modulates spontaneous thought patterns and neural activity, correlating with oxytocin levels and behavioral states.

This study quantifies how population diversity affects brain-imaging prediction accuracy and pattern stability using two clinical cohorts.

The paper identifies shared and unique brain network features that predict cognition, personality, and mental health in children using resting and task-state functional connectivity.

The paper identifies three latent components of psychopathology linked to whole-brain resting-state functional connectivity across healthy and psychiatric populations.