Daniel S. Margulies

The paper identifies a default-like transmodal apex network in marmoset monkeys, analogous to the human default network, through anatomical data analysis.

The paper examines individual differences in functional connectivity in awake and anesthetized rhesus monkeys using fMRI datasets, finding distinct variability patterns under different states.

The paper introduces a dataset linking brain functional architecture to cognitive states and personality traits through multimodal MRI and phenotypic assessments.

This study presents a new neuroanatomical model of the default-mode network (DMN) that includes subcortical structures, revealing their structural and functional importance through diffusion tractography and interindividual brain alignment.

This paper shows ischemic strokes alter functional connectivity along specific connectivity gradients, not just anatomically nearby areas.

The paper examines the relationship between cortical layout and connectivity in macaque monkeys, finding a gradient of connectivity distance similar to humans.

This study links neural state transitions during wakeful rest to patterns of ongoing thought and well-being.

This study investigates the relationship between blood pressure and grey matter volume in young adults, finding that higher blood pressure correlates with reduced grey matter volume in specific brain regions.

The paper examines how individual differences in reading comprehension and off-task thought relate to perceptually-coupled and decoupled cognition in the default mode network.

The paper develops a pipeline to estimate connectomes from neuroimaging data, showing high consistency within individuals but significant variability across studies and sites.

The paper identifies brain regions in the default mode network that support stimulus-independent and conceptually-guided cognition, showing stronger responses to complex memory tasks than perceptual ones.

The paper introduces PRIME-DE, an open resource for non-human primate MRI data, aggregating 13 datasets from 11 sites across 98 macaques.

The paper describes the creation of a preprocessed repository of resting-state fMRI and structural MRI data for ADHD research, providing multiple analytical pipelines for competing teams.

This study predicts brain-age from multimodal imaging data and finds it captures cognitive impairment with robustness to motion and generalizability across datasets.

This study uses resting-state fMRI in macaques to reveal the intrinsic functional architecture of the lateral frontal cortex, confirming and refining existing anatomical and connectional divisions.

NeuroVault provides a web-based repository for storing, sharing, and decoding unthresholded brain statistical maps with a public API.

The paper presents a high-resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures to study intra- and inter-session variability.