Nadim Jon Shah

High resolution and quantitative imaging of the postmortem brain

This study quantifies MRI parameters in fixed postmortem brains to assess variability and introduces a 3D method for high-resolution mapping of water content and relaxation times.

Evaluation of visual performance for RCS rats: A tailor-made OMR setup via DeepLabCut and PsychoPy with a customized algorithm

This study develops a tailored OMR setup for RCS rats using DeepLabCut and PsychoPy, finding normal OMR at P30/P50 but significant decline in older RCS rats indicating blindness.

Ultra-High Resolution TR-external EPIK with Deep Learning Image Reconstruction for Enhanced Characterisation of Cortical Depth-dependent Neural Activity

This paper improves submillimetre fMRI image reconstruction using deep learning, achieving higher SNR than conventional methods in cortical depth-dependent neural activity studies.

The Simultaneous Measurement of Reversed Phase-Encoding EPI in a Single fMRI Session: Evaluation of Geometric Distortion Correction in Submillimetre fMRI at 7T

This paper introduces a novel fMRI scheme that simultaneously acquires reversed phase-encoding EPI data in a single session, reducing acquisition time and energy deposition while evaluating distortion correction's impact on submillimetre fMRI.

Cortical depth-dependent human fMRI of resting-state networks using EPIK

This study uses EPIK to examine laminar fMRI dynamics in resting-state networks, finding depth-specific connectivity patterns and task-related changes in cortical layers.

Contribution of cortical layers to human dynamic functional connectivity

This study examines how dynamic functional connectivity within cortical layers changes over time and its impact on identifying brain states in healthy individuals.

Small-molecule modulators of TRMT2A decrease PolyQ aggregation and PolyQ-induced cell death

The paper identifies and validates small-molecule inhibitors of TRMT2A that reduce polyQ aggregation and cell death in human cells.

Modulation of the spontaneous brain activity and functional connectivity in the triple resting-state networks following the visual oddball paradigm

This study examines how a visual oddball task affects spontaneous brain activity and functional connectivity in three core resting-state networks using fMRI measures.

Excitatory-Inhibitory Balance within EEG Microstates and Resting-state fMRI Networks: Assessed via Simultaneous PET-MR-EEG Imaging

This study examines the relationship between EEG microstates, resting-state fMRI networks, and neurotransmitter receptor availability using simultaneous PET-MR-EEG data, finding a stronger association with GABAA receptor binding than mGluR5 or glucose metabolism.

MR-PET head motion correction based on co-registration of multi-contrast MR images

This paper introduces an automated PET motion correction method using multi-contrast MR co-registration, improving PET image quality in MR-PET scans.