Professor Kelvin Lim

Medical School
Twin Cities
Project Title: 
Neural Networks in Brain Disorders

These researchers use fMRI and other MR imaging modalities to examine brain stucture, 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 neuoimaging neuroimaging data in the following projects:

  • Functional Connectivity Changes During Early Recovery as a Marker for RelapseThe 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

Project Investigators

Elias Boroda
Assistant Professor Jazmin Camchong
Associate Professor Kathryn Cullen
Casey Gilmore
Brian Hanna
Timothy Hendrickson
Professor Kelvin Lim
Dr. Bryon Mueller
Donovan Roediger
Lianqing Zhang
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