Staff and Researcher Publications
Language
English
Publication Date
1-1-2017
Journal
The Journal of Neuropsychiatry and Clinical Neurosciences
DOI
10.1176/appi.neuropsych.16090174
PMID
28238273
Abstract
Serious mental illness (SMI) is disabling, and current interventions are ineffective for many. This exploratory study sought to demonstrate the feasibility of applying topological data analysis (TDA) to resting-state functional connectivity data obtained from a heterogeneous sample of 235 adult inpatients to identify a biomarker of treatment response. TDA identified two groups based on connectivity between the prefrontal cortex and striatal regions: patients admitted with greater functional connectivity between these regions evidenced less improvement from admission to discharge than patients with lesser connectivity between them. TDA identified a potential biomarker of an attenuated treatment response among inpatients with SMI. Insofar as the observed pattern of resting-state functional connectivity collected early during treatment is replicable, this potential biomarker may indicate the need to modify standard of care for a small, albeit meaningful, percentage of patients.
Keywords
Adult, Brain, Brain Mapping, Disability Evaluation, Female, Humans, Magnetic Resonance Imaging, Male, Mental Disorders, Neural Pathways, Psychiatric Status Rating Scales, Rest, Self Report, Treatment Outcome, Diagnosis and Classification in Neuropsychiatry, Imaging Techniques, Outcome Studies Biological/Pharmacological, Research Design and Methodology.
Published Open-Access
yes
Recommended Citation
Madan, Alok; Fowler, J Christopher; Patriquin, Michelle A; et al., "A Novel Approach to Identifying a Neuroimaging Biomarker for Patients With Serious Mental Illness" (2017). Staff and Researcher Publications. 79.
https://digitalcommons.library.tmc.edu/clinic_pub/79
Included in
Medical Sciences Commons, Mental and Social Health Commons, Psychiatry and Psychology Commons