Neural Networks in Brain Disorders
These researchers use fMRI and other MR imaging modalities to examine brain structure, connections, and function in brain disorders. They use this information to measure neural networks in different brain disorders such as depression, addiction, schizophrenia, and epilepsy. In addition, they are interested in how interventions such as medication, transcranial stimulation, and transcranial direct current stimulation alter neural networks.
The group is currently using MSI to analyze neuroimaging data in the following projects:
- Functional Connectivity Changes During Early Recovery as a Marker for Relapse: The researchers are studying what brain signals can predict relapse to drug abuse.
- Increased Thalamocortical Connectivity in TDCS-Potentiated Generalization of Cognitive Training: The researchers are studying the brain circuitry effects of cognitive training augmented with transcranial direct current stimulation.
- Combined TDCS and Cognitive Training for the Treatment of Opioid Addiction: The researchers are studying whether cognitive training augmented with transcranial direct current stimulation can change brain circuits associated with relapse and improve treatment outcome.
- Effects of TDCS Paired With Cognitive Training on Brain Networks Associated With Alcohol Use Disorder in Veterans: In this project, the researchers are studying whether cognitive training augmented with transcranial direct current stimulation can change brain circuits associated with alcohol relapse and improve treatment outcome.
MSI resources are used to analyze these collected neuroimaging data.
Research by this group was featured on the MSI website in December 2021: Neuroimaging and Genetic Data Resources.
Assistant Professor Jazmin Camchong
Associate Professor Kathryn Cullen
Dr. Erich Kummerfeld
Professor Kelvin Lim
Dr. Bryon Mueller
Special Systems Person