Research Interests
Our current research interests include:
- Detect early brain network changes and examine the influence of pathology and risk factors on brain integrity and future outcomes in preclinical and clinical neuropsychiatric disorders including Alzheimer’s disease, vascular dementia, stroke, and psychosis.
- Examine the longitudinal brain network changes and its associations with cognitive and mental problems across the lifespan.
- Investigate the underlying neural mechanism supporting the efficacy of interventions such as BCI or lifestyle-based intervention to slow down cognitive decline.
- Develop multimodal AI approaches such as brain foundation models for brain decoding, human trait prediction, disease prognosis/diagnosis, and treatment planning.
Machine Learning Project Repository
Longitudinal brain functional connectome embedding.
Video reconstruction from fMRI.
Decoding human visual stimuli from fMRI.
Deeply supervised network for white matter hyperintensities segmentation with transfer learning.
Research Software
An open source software suite for processing and analyzing (human) brain MRI images.
Designed for the analysis of brain imaging data sequences. The sequences can be a series of images from different cohorts, or time-series from the same subject. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG.
A MATLAB toolbox which implements multiple algorithms for independent component analysis and blind source separation of group (and single subject) functional magnetic resonance imaging data.
A versatile resource program developed for diffusion tensor image (DTI) computation and fiber tracking.
Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research. It synthesizes and shows accurately controlled visual and auditory stimuli for the observer.
A program that allows viewing 3D cortical surface models, and mapping volumetric data onto them.
A toolbox for SPM which provides routines for region of interest analysis.
Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) is a source of neuroinformatics tools, publicly available data sets, and a cloud computing environment.
A cross-platform NIfTI format image viewer.
A MATLAB toolbox for complex-network analysis of structural and functional brain-connectivity data sets.
FMRIB Software Library (FSL) is a library of analysis tools for FMRI, MRI and DTI brain imaging data.
Pipeline for analyzing brain diffusion images (PANDA) is a Matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography.
Mainly an EEG, ERP and inverse solutions tool, with some fast and powerful 3D display capabilities.
Resting-State fMRI Data Analysis Toolkit (REST) is a convenient toolkit to calculate Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low-Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality, degree centrality, voxel-mirrored homotopic connectivity (VMHC) and perform statistical analysis.