Patient-Specific Diagnosis & Treatment From fMRI Scans
In collaboration with colleagues from the Department of Psychiatry, Russ Greiner creates tools for diagnosing psychological disorders and developing patient-specific treatment plans. The research team uses data from functional Magnetic Resonance Imaging (fMRI), supplemented with phenotypic data (i.e. observable characteristics), for people with conditions including ADHD, depression, Autism Spectrum Condition or Alzheimer’s Disease.
The resulting tools enable psychiatrists to make better use of fMRI images in diagnosing conditions and selecting the most effective medication for a particular patient.
At the recent ADHD-200 Global Competition, Russ and Dr. Matthew Brown co-directed a team who explored ways to determine whether or not an undiagnosed person has ADHD based on structural and functional Magnetic Resonance Imaging (MRI & fMRI) and phenotypic information. While approaches that employed imaging and signal processing achieved some success, the competition’s most reliable results (62.52% prediction accuracy) were produced by the team’s simple classifier, which used only five characteristics (age, sex, IQ, handedness and site of scan). The group has since produced models that incorporate fMRI data to yield greater accuracy.