Zhiwei Ma

This paper develops an open-source framework for mesoscale fMRI at 5.0 T, demonstrating reliable laminar activation patterns comparable to 7.0 T systems.

This study uses unsupervised outlier detection in multimodal MRI data from 20,000 UK Biobank subjects to identify rare individual phenotypes, finding high reliability for some measures and confirming many outliers through radiological review.

The paper introduces an open rsfMRI database of 90 awake rats, providing raw and preprocessed data along with functional connectivity analysis.

This study investigates temporal transitions between resting-state functional connectivity patterns in awake rats and humans, finding nonrandom transitions and identifying key network hubs.