Neuroimaging & Applied Computational Anatomy Lab (NIACAL)
Our lab’s research is focused on the development of multidimensional and multimodal neuroimaging biomarkers using the tools of computational anatomy. Working with collaborators from engineering, mathematics, psychology and clinical specialties, we focus on the following major areas:
Mapping of Brain Structures using MRI: We develop automated pipelines to delineate brain structures based on simultaneous mappings of multiple structures from multiple atlases. This includes deep brain structures (such as the hippocampus, amygdala, thalamus, and basal ganglia) and cortical structures.
Complex Neuroimaging Biomarkers: We develop modeling and statistical approaches for the analysis of these maps. We develop frameworks for joint, integrated analyses of multidimensional, multimodal information based on the structural mapping of the brain. These include:
- Multimodal MRI analysis: structural MRI, functional MRI, diffusion MRI, perfusion MRI, PET
- Network analysis
- Structure-function relationship
- Subtyping and dimensional analysis
- Prediction and longitudinal analysis
Clinical Applications: We are interested in developing neuroimaging markers to characterize neuropsychiatric disorders, disease progression and prediction, and monitoring of treatment:
- Mild cognitive impairment (MCI), dementia
- Breast cancer-related MCI
- Psychosis/Schizophrenia/Mood Disorders
- Imaging Genetics
- Data sharing
- Data mediation
Preclinical Applications: Neuroimaging of Animal Models
- Schizophrenia, Dementia, Mood Disorders, Memory
- Mouse, rat, rabbit
Director: Lei Wang, Ph.D.
For more information, please see: Neuroimaging and Applied Computational Anatomy Lab.