Ömer Faruk Gülban

This study benchmarks seven automated methods and manual segmentation for LGN delineation, finding HIPS-THOMAS and DeepThalamus perform best, while manual segmentation remains precise but variable.

POPE optimizes EPI gradient pulses to reduce peripheral nerve stimulation, enabling high-resolution fMRI without exceeding safety limits.

This paper constructs a probabilistic atlas of the human thalamic reticular nucleus using 7T MRI, showing high consistency with postmortem data.

The paper maps mesoscopic vascular networks in the human brain using the BigBrain dataset, revealing non-uniform vascular density related to cortical areas.

This paper introduces a fast whole-brain MRI protocol for mesoscopic venous imaging in humans, enabling detailed vascular mapping in under seven minutes without contrast agents.

This paper characterizes laminar organization across four visual areas using multimodal data, finding parvalbumin profiles as the most discriminative feature.

This study characterizes laminar BOLD and VASO responses to digit stimulation in human somatosensory cortex, revealing triphasic dynamics and potential excitation-inhibition mechanisms.

This study uses fMRI to investigate how V1 and hMT+ interact during bistable motion perception, finding stronger feedback coupling in V1 during ambiguous stimuli.

This paper identifies and mitigates Fuzzy Ripple artifacts in high-resolution fMRI, enabling sub-millimeter resolution and faster acquisition protocols.

This paper introduces a rapid fMRI acquisition method, T1234, that provides distortion-matched structural reference data, improving registration accuracy with functional scans.

This study uses fMRI to investigate how neural dynamics in the brain resolve ambiguous motion perception, finding distinct interactions between frontal and parietal regions during transitions and sustained perceptions.

VesselBoost is a Python tool for segmenting small blood vessels in human MRA data using deep learning and data augmentation to overcome labeling challenges.

This paper characterizes cortical depth-dependent CBV and BOLD hemodynamic responses across stimulus durations using VASO and ME-GRE at 7T in humans, finding that longer durations improve CBV specificity but may reduce efficiency.

The paper develops acquisition protocols and processing pipelines for whole-brain layer-fMRI and introduces the Kenshu dataset for benchmarking and analysis.

This paper develops a fast VASO fMRI method with short stimuli and event-related designs to capture layer-specific hemodynamic responses with high spatio-temporal resolution.

This study uses CBV-sensitive fMRI to quantify columnar organization in human hMT+ for axis-of-motion stimuli, showing higher specificity with VASO over BOLD.

This study uses laminar VASO fMRI to investigate altered neural microcircuits in FHD patients, finding disrupted finger representations and layer-specific activity changes in motor cortex.

This paper introduces fMRIflows, a fully automatic fMRI processing pipeline that provides standardized preprocessing and both univariate and multivariate analyses.

The paper provides a high-resolution T2* MRI dataset of the human brain at 7 Tesla, revealing cortical substructures and consistent depth-dependent T2* values across subjects.

This study shows that selective attention reduces auditory cortex responses to attended frequencies in humans using high-resolution fMRI, contrasting with previous findings.

The paper investigates non-neural factors affecting BOLD response magnitudes in human participants and proposes a correction method to improve fMRI data interpretation.

LayNii is a software suite designed for analyzing layer-specific functional MRI data with SNR and coverage constraints, offering tools for layerification, smoothing, and artifact mitigation.

The paper improves a probabilistic cytoarchitectonic atlas of auditory cortex by introducing CBA+, a method that aligns individual brains more accurately than existing methods.

This study uses depth-resolved ultra-high field fMRI to show feedback contributes to surface motion perception by revealing depth-specific BOLD signal changes in early visual cortex.

The paper maps the human subcortical auditory system using histology, post mortem MRI, and in vivo 7T MRI, creating atlases and connectivity maps with high-resolution data.

This study analyzes MRI data from 34 primate species to investigate the evolution of neocortical folding, finding a Brownian Motion model best fits the data and a stable fold wavelength across varying brain sizes.

The paper introduces a method to improve gray matter segmentation in ultra high field MRI by using 2D histograms, showing improved borders and providing an open implementation.