Generation R Neuroimaging

Dr. Muetzel co-directs one of the world’s largest neuroimaging initiatives, the Generation R Study neuroimaging program. With over 5,200 children scanned and nearly 9,000 total MRI scan sessions, the study is unique positioned to answer pressing questions in the field of neurodevelopment. 

Bi-directionality in Psychiatric Neuroimaging

Understanding not only how the brain shapes behavior, but also how behaviors can shape the brain is integral to IPNI. Most of our current psychiatric neuroimaging endeavors aim to identify the brain substrates which lead to mental illness. However, it is highly likely that living with mental illness also has an impact on how the brain grows and is shaped. This is not entirely straightforward to disentangle, and must be studied with longitudinal, repeated data on brain and behavior.

Pattern Recognition in Psychiatric Neuroimaging

Machine learning, sometimes called Artificial Intelligence, has several promising applications in psychiatric neuroimaging. For example, various methods exist for identifying complex patterns in image data which relate most strongly to mental illness. Other applications exist, such as clustering data into distinct subgroups based on imaging and behavioral phenotypes. As neuroimaging are very high dimensional data, opportunities also exist for elegant data reduction solutions.

Risk and Resilience in brain maturation and aging

Population Neuroscience Methods