The human brain undergoes dramatic remodeling as it matures. Our work seeks to define normal patterns of brain development using multi-modal neuroimaging, network science, and machine learning methods.
Advances in psychiatric care are limited by our lack of understanding of the biology of these disorders. Using tools from network science and machine learning, we seek to link dysfunction in brain circuits to symptoms of mental illness such as irritability, executive dysfunction, impulsivity, and anhedonia.
Linked Dimensions of Psychopathology and Brain Networks
Non-invasive neuroimaging methods continue to advance at a rapid pace. We develop software and analysis methods to minimize artifact and maximize reproducibility in developmental and psychiatric neuroimaging. For details see our GitHub organization and the extensible connectivity pipelines (XCP).
Benchmarking Strategies for Motion Artifact Control