David Gordon Norris

Optimal MR-ARFI encoding parameters for a range of contemporary magnetic field gradient systems

The paper optimizes MR-ARFI gradient parameters and provides a simulation tool to enhance sensitivity under various hardware conditions.

Spine-brain dynamics during human defensive threat-reactions

This study investigates how bradycardia during threat conditioning modulates spinal-brain connectivity in humans, revealing its role in defensive action preparation.

Characterizing BOLD activation patterns in the human hippocampus with laminar fMRI

This study investigates how venous bias affects hippocampal laminar fMRI responses and establishes a benchmark experiment for robust single-subject activation.

Normative trajectories of R1, R2* and magnetic susceptibility in basal ganglia on healthy ageing

This study establishes normative trajectories of R1, R2*, and magnetic susceptibility in the basal ganglia across healthy ageing using Gaussian Process Regression.

The Advanced BRain Imaging on ageing and Memory (ABRIM) data collection: Study protocol and rationale

ABRIM collects and shares MRI and behavioral data from 295 adults to study cognitive aging, focusing on brain connectivity, myelinization, iron content, and cognitive functions across the lifespan.

Investigation of layer specific BOLD in the human visual cortex during visual attention

This study investigates how visual attention affects laminar BOLD responses in human visual cortex using 7T fMRI, finding no laminar-specific differentiation with attention.

Estimation of Laminar BOLD Activation Profiles using Deconvolution with a Physiological Point Spread Function

This paper deconvolves laminar BOLD activation profiles using a physiological PSF to remove signal propagation effects from intracortical veins, achieving high laminar specificity.

An in-vivo study of BOLD laminar responses as a function of echo time and static magnetic field strength

This study compares BOLD laminar responses at different magnetic field strengths and echo times, finding similar activation profiles despite lower spatial resolution at lower field strengths.

Relating neural oscillations to laminar fMRI connectivity

This study examines how EEG power modulations relate to changes in laminar fMRI connectivity during an attentional task, finding distinct effects for alpha and beta bands.

Arterial blood contrast (ABC) enabled by magnetization transfer (MT): a novel MRI technique for enhancing the measurement of brain activation changes

This paper introduces arterial blood contrast (ABC) as a novel MRI technique that enhances brain activation measurement by combining magnetization transfer with BOLD contrast, offering improved efficiency and spatial specificity.

Functional Connectivity of the Precuneus Reflects Effectiveness of Visual Restitution Training in Chronic Hemianopia

The paper investigates if pre-training functional connectivity of the precuneus predicts success in visual restitution training for chronic hemianopia patients.

Improved cortical boundary registration for locally distorted fMRI scans

This paper introduces RBR, a method to correct geometric distortions in fMRI scans, improving spatial specificity for laminar analysis.

Laminar Specific fMRI Reveals Directed Interactions in Distributed Networks During Language Processing

This study demonstrates that laminar fMRI can reveal directed connectivity in whole-brain networks during language processing by identifying top-down signal contributions in language-critical regions.

Dissociable laminar profiles of concurrent bottom-up and top-down modulation in the human visual cortex

The paper shows that bottom-up and top-down modulations in the human visual cortex have distinct laminar profiles, with bottom-up effects strongest in middle layers and top-down effects stronger in deep and superficial layers.

Laminar signal extraction over extended cortical areas by means of a spatial GLM

This paper introduces a spatial GLM method to extract laminar signals from cortical data, showing improved signal localization and reduced partial volume effects.

Porcupine: a visual pipeline tool for neuroimaging analysis

Porcupine is a visual tool that creates reproducible neuroimaging analysis pipelines by generating code and Docker environments, improving transparency and shareability.