Daniel S. Margulies

This study uses movie-fMRI to show that cortical gradients during naturalistic processing are hierarchical and modality-specific, with distinct perception-to-cognition hierarchies.

The paper uses fMRI data to show how the principal gradient of connectivity in the cerebral cortex changes during semantic tasks, revealing how strong conceptual links are associated with separation of DMN from sensory-motor systems.

The paper shares a multimodal MRI dataset for studying multiscale brain organization, including connectomes and gradients from multiple imaging modalities.

The paper examines how genetic and phylogenetic factors influence structure-function coupling in the human transmodal cortex and finds reduced genetic control in regions linked to social cognition and memory.

This paper develops a mesoscale connectome-based model of the macaque cortex to simulate conscious access, showing how receptor dynamics drive ignition-like events in neural networks.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

This study examines age-related changes in brain functional architecture using multi-scale fMRI analyses in younger and older adults, finding both global and network-specific dedifferentiation patterns.

This study disentangles the genetic and environmental influences on functional connectivity strength and topography in the human cortex, revealing distinct roles for genes and environment.

This study characterizes the anatomy of the human default mode network using histology and neuroimaging, revealing its cytoarchitectural diversity and unique signal flow properties.

This paper introduces a low-resource pipeline for estimating connectomes from MRI data, demonstrating its reliability across diverse datasets without manual intervention.

The paper investigates how long-range brain connections relate to microarchitectural and cognitive hierarchies in the human brain, finding that transmodal association cortices have distributed long-range connections linked to similar microarchitecture.

This study identifies hemispheric differences in a principal gradient of brain connectivity and links these differences to semantic cognition and visual reasoning.

This study shows that macroscale cortical gradients shift from unimodal regions in children to adult-like patterns in adolescence, with a sharp inflection point around 13-14 years.

This study identifies two distinct neural states during wakeful rest using machine learning and links them to specific psychological features like problem-solving and negative rumination.

The paper introduces PRIME-RE, a collaborative platform for sharing NHP neuroimaging resources, tools, and data.

The paper reveals the topographic organization of the human subcortex using resting-state fMRI data from 1000 adults, identifying four scales of organization and 27 new regions, and introduces a new subcortical atlas.

This study identifies genetic and phylogenetic axes of cortical thickness organization in humans and macaques using machine learning and twin data, showing heritability and conservation across species.

This paper introduces a function-based method to align cortical organization across species, revealing evolutionary changes in brain regions associated with human cognition.

This paper evaluates the reliability, reproducibility, and predictive validity of functional connectivity gradients in fMRI data across different analytical settings.

The paper examines how decision-making changes with context familiarity by analyzing neural activity along a gradient from default mode to executive cortex.

The paper predicts future cognitive decline using non-brain and multimodal brain imaging data in healthy and pathological aging, finding that non-brain data and structural MRI improve predictions.

This study shows that schizophrenia is associated with a compressed cortical hierarchy organization, reducing the separation between sensory and cognitive systems.

BrainSpace provides a toolbox for analyzing macroscale gradients in neuroimaging and connectomics data, enabling gradient identification, alignment, visualization, and association studies.

The paper links variations in binocular rivalry duration to white matter organization and reports of external visual detail.

The paper identifies two thought patterns linked to functional connectomes and psychological well-being in a neurotypical cohort.

The paper examines hemispheric asymmetries in EEG and fMRI related to approach and avoidance behavior, finding no significant links to eating behavior or BMI.

The paper investigates age-related changes in cortical myeloarchitecture during adolescence using longitudinal MRI data and identifies two distinct developmental processes.

The paper examines the role of the default mode network (DMN) in off-task thought by analyzing neural activity and self-reported experiences, finding no strong association with self or social content but suggesting a role in representing ongoing thought.

The paper identifies a dissociation between microstructural and functional gradients in transmodal brain networks using histological and MRI data.