Michael Peter Milham

The paper examines sex differences in functional brain connectivity across youth, finding that males show greater network integration while females show greater network segregation along the sensorimotor-association axis.

This study examines brain-thought relationships during movie-watching, finding that sensory-related neural signatures are consistent across films, while memory-related processes vary with context and modeling approaches.

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

Resting-state fMRI intrinsic timescale lengthens with age in association, not sensorimotor, cortex during ages 8-22, following the sensorimotor-association axis in two cohorts; it is largely age-stable in young adults.

The paper evaluates timing error tolerance in cognitive and neural measures across devices and introduces MERIT, a no-code platform for consistent cognitive assessment in lab and real-world settings.

This study introduces a neuroimaging framework to discover state-dependent signal flow hierarchy in the human cerebral cortex using integrated effective connectivity and signal flow mapping.

This study evaluates transdiagnostic latent factor models for brain-psychopathology associations using neuroimaging data, finding no consistent improvement in predictive utility over summary scores.

The paper examines the relationship between task context, thought patterns, and neural activity, finding that thought reliability varies with task context and is associated with MDN activity.

This study links childhood environmental exposures to white matter structure in children, showing that advantaged environments correlate with larger white matter tracts and reduced orientation dispersion.

This study uses resting-state fMRI to predict seizure onset zones in drug-resistant epilepsy patients, achieving high accuracy in identifying epileptogenic regions non-invasively.

The paper introduces an open data resource combining neuroimaging and behavioral measures to study mood and sleep in adolescents and young adults.

This study identifies two axes of white matter development in human cortico-cortical tracts using diffusion MRI across three datasets, revealing non-uniform maturation patterns.

This study examines how spatiotemporal brain activity propagations change from childhood to early adulthood, finding that certain propagation patterns become more prevalent with age and correlate with cognitive performance.

The paper uses AI to analyze clinical interviews of youths with ADHD and ASD, finding distinct behavioral features that differentiate the conditions despite overlapping traits.

The paper introduces cpCST, a new attention assessment task, showing high reliability, age invariance, and predictive validity for cognitive and cardiorespiratory fitness.

The paper introduces Reproducible Brain Charts (RBC), an open data resource integrating brain development data from 6,346 youth, showing the benefits of harmonized phenotypes and reproducible processing for studying psychopathology.

This study uses experience sampling to measure daily thought patterns and links them to mental health, finding an 'Intrusive Distraction' pattern associated with anxiety and linked to social connectedness.

Styx and NiWrap provide language-native wrappers for command-line tools, reducing complexity in pipeline development and enhancing portability across programming languages and environments.

The paper identifies hypo- and hyperconnectivity subtypes in autism using cross-species fMRI, linking them to distinct biological mechanisms in mice and humans.

This paper introduces causal methods to detect batch effects in multi-site data, showing they provide more accurate or 'no answer' results compared to non-causal methods.

The paper shows that personality traits are more strongly associated with brain activity in specific tasks than in others, highlighting the need for context-specific analyses.

The paper presents HBN-EEG, a FAIR-formatted EEG dataset from the Healthy Brain Network project, including behavioral annotations and task data for over 2,600 participants.

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 evaluates the impact of different preprocessing pipelines on functional MRI reproducibility and shows moderate inter-pipeline agreement, affecting brainwide association study consistency.

The paper shows thalamocortical connections develop along a sensorimotor-association gradient in youth, linking structural connectivity to cortical plasticity and environmental sensitivity.

This paper introduces a method to estimate spatially fine-grained connectivity gradients efficiently, enhancing brain-behavior predictions without reducing spatial resolution.

The paper examines how functional connectivity develops along the sensorimotor-association axis during childhood to adolescence, finding that sensorimotor connectivity increases while association connectivity decreases, reinforcing cortical hierarchy.

This study examines how thalamocortical connectivity changes with age and contributes to the development of large-scale functional brain networks from infancy to young adulthood.

The paper develops a method to map thought patterns onto brain activity during movie-watching and finds sensory and association cortex play key roles in engagement and distraction.

The paper introduces BABS, a Python package for reproducible and scalable neuroimaging data processing using BIDS Apps and HPC systems.