Advisory Committee Chair
Adrienne C Lahti
Advisory Committee Members
Allan C Dobbins
Robert E McCullumsmith
Rosalinda C Roberts
Kristina M Visscher
Timothy M Wick
Document Type
Dissertation
Date of Award
2014
Degree Name by School
Doctor of Philosophy (PhD) School of Engineering
Abstract
Schizophrenia affects approximately 1% of the population and is one of the top five causes of disability worldwide. Patient response to any particular drug is variable and currently unpredictable. Our overall goal is to identify imaging biomarkers that will distinguish patients with schizophrenia who will respond to an antipsychotic drug from those who will not. When considering potential biomarkers, it is important to note that schizophrenia is known to involve altered neuronal connections, thought to reflect pathologically relevant changes associated with the disease. We propose to utilize functional connectivity as a biomarker for treatment response to antipsychotic drugs in schizophrenia. Our previous imaging studies have made significant progress by identifying several brain regions that show changes in blood flow in response to antipsychotic drugs. The proposed research will build upon this work, by examining differences in connectivity between these regions, using a region-based analysis, and globally, using a network-based analysis, at three time points in antipsychotic drug treatment: (1) in the medication-free, pre-treatment baseline state, (2) after one week of treatment, and (3) after six weeks of treatment.
Recommended Citation
Hadley, Jennifer Ann, "Imaging Biomarkers for Prediction of Treatment Response in Schizophrenia" (2014). All ETDs from UAB. 1835.
https://digitalcommons.library.uab.edu/etd-collection/1835