A novel approach to identifying a neuroimaging biomarker for patients with serious mental illness

Alok Madan, James Chris Fowler, Michelle A. Patriquin, Ramiro Salas, Philip R. Baldwin, Kenia M. Velasquez, Humsini Viswanath, David L. Molfese, Carla Sharp, Jon G. Allen, Susan Hardesty, John M. Oldham, B. Christopher Frueh

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)275-283
Number of pages9
JournalJournal of Neuropsychiatry and Clinical Neurosciences
Issue number3
StatePublished - Jun 1 2017

ASJC Scopus subject areas

  • Medicine(all)


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