Qingyu Hu

The paper introduces a framework to quantify individualized developmental imbalance in youth using predictive normative modeling and shows it predicts psychopathological vulnerability.

The paper shows longer scans improve prediction accuracy in brain-wide association studies while reducing costs, with 30-minute scans being the most cost-effective.

DeepPrep accelerates neuroimaging preprocessing by 11-fold using deep learning, outperforming current state-of-the-art methods in scalability and robustness.

The paper identifies individualized functional connectivity markers in Parkinson's disease patients that predict both motor and mood symptoms using functional MRI data.

This study identifies the somato-cognitive action network (SCAN) as a key pathway in Parkinson's disease, showing its dysfunction and link to neuromodulatory treatments.

This paper introduces TRIGGER, a 3T MRI technique for high-resolution neural activity recording in awake humans, showing millisecond temporal resolution and hemispheric response timing.