Nikos Makris

This study evaluates whether cross-population white matter atlases improve test-retest reproducibility compared to single-population atlases in diffusion MRI tractography.

This study systematically evaluates U-fiber organization in the rhesus monkey brain using tract tracing, revealing sulcus-dependent prevalence and diverse trajectories, challenging the notion of a uniform U-fiber system.

ACCURAT provides an open framework and neuroanatomical reference for reconstructing cerebellar pathways using diffusion MRI and anatomical priors.

The paper presents a morphometric analysis of dopaminergic and serotonergic circuits in the human brain using MRI data from the Human Connectome Project, identifying key structural connections and their reliability.

This study identifies distinct neurophysiological and structural connectivity profiles in the human SMA complex using TMS-EEG and diffusion-weighted connectomics.

This study identifies sex differences in white matter tracts using diffusion MRI tractography and finds associations with motor function in a large cohort.

This study evaluates diffusion MRI contrasts for cerebellar segmentation, finding that spherical mean images outperform traditional microstructure maps.

This study examines the role of superficial white matter connections of Broca's area in language performance across children and adults, finding bilateral associations with language tasks.

This study maps catecholaminergic circuits in the human brainstem and hypothalamus using MRI, showing their relevance to neurological and psychiatric disorders.

This study examines cerebellar pathway microstructure and cognitive performance in over 9,000 participants, finding consistent associations across pre-adolescents and young adults.

This paper introduces FMQ Regression to analyze white matter microstructure and its relationship to cognitive and motor factors, finding stronger associations in bundle periphery and sex-specific differences.

This paper introduces DeepRGVP, a deep learning framework for automatically identifying the retinogeniculate visual pathway from diffusion MRI tractography data, showing superior performance compared to existing methods.

The paper presents novel data using dMRI tractography-guided TMS-EEG on a single healthy young adult to better understand brain circuitry engagement during neuromodulation.

The paper harmonizes diffusion MRI data from the ABCD study and provides white matter measures for structural connectivity research in adolescents.

This study investigates the role of superficial white matter microstructure in processing speed in cerebral small vessel disease, finding that free-water measures in SWM strongly correlate with cognitive decline.

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

This study compares four tractography methods for reconstructing the retinogeniculate visual pathway using diffusion MRI data from 57 subjects, finding that UKF-2T and iFOD1 provide the best results.

The paper introduces a novel parcellation system for the rhesus monkey brain based on a standardized ontology, aiming to facilitate comparative studies with the human brain.

This paper creates a novel trigeminal tractography atlas for automated trigeminal nerve identification using dMRI data, showing comparable results to manual methods with advantages in efficiency and robustness.

The paper introduces a system that uses inverse Dijkstra-based optimization to compactly describe sulcal trajectories on human cortical surfaces using binary feature vectors.

This study creates a detailed 3D map of the human brainstem using high-resolution MRI and validates it against histological atlases.

This study uses diffusion MRI tractography to map individual variations of the human corticospinal tract and hand-related motor fibers, creating a database of their volume, length, and biophysical parameters.

This study examines sex differences in white matter abnormalities in abstinent alcoholics using diffusion tensor imaging.