Alan Charles Evans

This study identifies distinct subcortical-cortical circuit disruptions in autism and ADHD using functional connectivity and dynamic causal modeling in a multi-site cohort.

This paper develops a framework to distinguish radial and tangential fiber components in human superficial white matter and examines their microstructural and functional properties.

The paper analyzes EEG data from 4,812 individuals to identify shared and distinct neurophysiological signatures across psychiatric conditions and rare genetic variants.

Among infant siblings of autistic children, greater trial-to-trial variability in visual P1 latency at 6 and 12 months tracked higher 24-month cognitive and language scores; mean P1 measures did not.

HippoGenes creates transcriptomic maps of the human hippocampus using spatial statistical models and the Allen Human Brain Atlas, enabling subregional gene expression analysis and disease-related molecular decoding.

This paper introduces a surface-intrinsic framework for hippocampal unfolding that improves alignment accuracy and morphology preservation compared to volumetric methods.

This study examines thalamo-cortical and thalamo-hippocampal functional connectivity in temporal lobe epilepsy, finding reduced connectivity in TLE patients and its association with seizure generalization and surgical outcomes.

The paper examines how cognition and personality relate to adolescent mental health, showing these associations vary with brain, environmental, and pubertal factors.

The paper identifies distinct brain maturation pathways linking environmental variation to cognitive development in adolescents using longitudinal data.

This study examines subcortical brain development in infants with Down syndrome compared to controls from 6 to 12 months, finding reduced volumes and slower growth in most structures.

This study characterizes the human claustrum using multiscale methods, revealing MRI resolution-dependent features and defining practical measurement limits.

The paper examines how changes in functional connectivity during rest and task relate to Alzheimer's pathology and episodic memory in older adults.

The paper examines how cognitive states like resting and movie watching affect large-scale brain functional connectivity using fMRI data from the HCP and PNI datasets.

The paper provides resting-state functional MRI derivatives from the COMPASS-ND study to aid in neurodegenerative disease research.

The paper integrates spatial transcriptomics and cortical networks in macaques to identify cellular correlates of aging, finding age-related declines in transmodal networks linked to inhibitory and glial cells.

The paper develops a computational framework to study superficial white matter organization using 3D histology and 7T MRI, finding high structural complexity in the first 2 mm below the cortical boundary and correlations with cortical geometry and connectivity.

This paper maps global cortical organization by integrating microstructural, connectivity, and functional data with cytoarchitectural maps, revealing a sensory-fugal gradient and functional diversity across brain areas.

The paper links early cell cycle gene expression in cortical organoids to interindividual variability in infant brain growth trajectories.

The paper identifies three conserved spatiomolecular gradients in the adult human brain that align with developmental axes and predict functional territories.

HippoMaps provides a toolbox and data warehouse for mapping and analyzing hippocampal data across multiple modalities and scales.

This study uses multi-task deep learning to identify unique functional neuroanatomy fingerprints for seven mental processes, showing high classification accuracy and robustness across datasets.

This study uses graph attention networks on MRI data to analyze functional connectivity differences between brain gyri, sulci, and subcortical regions, finding task-specific connection importance.

This paper introduces a surface-based hippocampal registration method that improves subfield alignment across different morphologies.

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

This study investigates how brain network architecture relates to ASD-related cortical alterations and polygenic risk for ASD using neuroimaging data from multiple cohorts.

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

The paper identifies functional connectivity subtypes associated with ASD diagnosis and shows their generalizability across independent data.

This study links schizophrenia polygenic risk to cortical thickness changes in developing children, showing a trajectory toward adult schizophrenia patterns.

This study examines the independent associations of educational attainment polygenic scores and parental education with cortical structure and neurocognitive skills in children and adolescents.

This study uses an epidemic spreading model to analyze A{beta} deposition patterns in sAD and ADAD, finding similar but distinct spreading patterns in some ADAD patients.