Molly G. Bright

This study examines the effects of therapeutic acute intermittent hypoxia on cerebrovascular function in healthy individuals and finds no significant changes in whole-brain blood flow or reactivity.

This study maps whole-brain motor activity during shoulder abduction tasks using fMRI, showing subject-specific activation patterns and consistent amplitude across regions.

This study compares ME-ICA denoising approaches in motor-task fMRI, finding that a conservative method better preserves task-related signal while reducing noise in high-motion scenarios.

This study evaluates statistical methods for analyzing whole-brain task-based fMRI data, finding that a whole-brain voxel-level approach with FDR correction offers highest sensitivity and consistency.

The paper shows that task instructions modulate stretch-evoked motor responses in the human brainstem, as evidenced by changes in reticulospinal activation during fMRI.

This paper applies multi-echo fMRI and precision mapping to identify auditory activation patterns at both group and individual levels.

This study shows that multi-echo fMRI techniques improve cerebrovascular reactivity estimates in stroke patients by reducing noise and negative values.

This paper evaluates a PCA-based denoising method for spinal cord fMRI using a noise ROI, finding that it may not consistently improve group-level activation maps compared to physiological recording-derived regressors.

This paper introduces an iterative delay correction method to improve breath-hold cerebrovascular reactivity mapping in clinical populations by adjusting the temporal search range for each voxel.

This paper introduces an fMRI-based method to map spinal cord vascular reactivity, showing distinct gray matter regions associated with arterial supply territories.

This study examines the BOLD response in ipsilateral primary somatosensory cortex to tactile stimuli, finding biphasic responses in BA1 and BA3b with the secondary phase being more sensitive to stimulus force.

This study assesses cerebral blood flow responses to hypoxia and hypercapnia using MRI, finding poor reliability in hypoxic CVR and paradoxical responses not explained by CO2 changes.

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

This paper develops methods to estimate cerebrovascular reactivity (CVR) amplitude and delay in breath-hold fMRI when PETCO2 data quality is low, using rescaled RVT and deep learning-predicted PETCO2.

This study examines macrovascular and microvascular coupling in adolescents using 4D flow MRI and BOLD reactivity, finding age-related changes in cerebrovascular responses.

This study maps sensory activation across the cortex, subcortex, and brainstem using whole-brain fMRI, showing distinct responses to hand and foot stimulation and differentiating small brainstem nuclei.

The paper examines individual variability in the relationship between resting-state fMRI metrics and cerebrovascular reactivity (CVR) using longitudinal data from 7 subjects with 10 sessions each.

This study evaluates ME-ICA's effectiveness in reducing task-correlated head motion artifacts in motor-task fMRI data, showing improved signal clarity and stability in both subject and group analyses.

This study investigates spinal cord fMRI activation during hand-grasping tasks, finding lateralized activity in C5-C8 with differences based on analysis methods and experimental parameters.

This study compares hemodynamic delay estimates between resting-state and breathing-task fMRI data in healthy adults, finding poor overall agreement but improved agreement in specific brain regions.

This paper compares alternative reference signals for mapping cerebrovascular reactivity using breath-hold task BOLD fMRI, showing that RVT and GM-BOLD can produce comparable CVR maps when PETCO2 quality is insufficient.

This study examines how variability in manually contoured spinal cord masks affects fMRI co-registration and activation mapping, finding that rater and dataset differences significantly impact spatial normalization and signal contrast.

The paper investigates how data acquisition and modelling choices affect the relationship between baseline cerebral blood flow and BOLD cerebrovascular reactivity, finding that breathing task data and lag-optimization improve correlations.

This paper modifies a resting-state fMRI protocol by adding breathing tasks to improve cerebrovascular reactivity (CVR) characterization and hemodynamic lag estimation.

This study evaluates ICA-based denoising strategies for improving CVR estimates in multi-echo BOLD fMRI during breath-hold tasks, finding that a conservative ICA model reduces motion effects best.

This study shows vascular regulation influences fMRI signals in specific brain networks, with some networks dominated by neuronal stimuli and others by vascular stimuli.