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Baseline Striatal Functional Connectivity As a Predictor of Response to Antipsychotic Drug Treatment

Overview
Journal Am J Psychiatry
Specialty Psychiatry
Date 2015 Aug 29
PMID 26315980
Citations 107
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Abstract

Objective: Clinical response to antipsychotic drug treatment is highly variable, yet prognostic biomarkers are lacking. The authors recently demonstrated that successful antipsychotic drug treatment alters resting-state functional connectivity of the striatum. The goal of the present study was to test whether intrinsic striatal connectivity patterns provide prognostic information and can serve as a potential biomarker of treatment response to antipsychotic drugs.

Method: The authors used resting-state functional MRI (fMRI) to develop a prognostic index in a discovery cohort of 41 first-episode schizophrenia patients, then tested this index in an independent cohort of 40 newly hospitalized chronic patients with acute psychosis. In the discovery cohort, patients underwent resting-state fMRI scanning at the initiation of randomized controlled treatment with a second-generation antipsychotic. Whole-brain functional connectivity maps were generated for each subject from striatal seed regions. A stringent measure of clinical response was calculated that required sustained improvement over two consecutive study visits. Clinical response was entered into a survival analysis, and Cox regression was applied to the functional connectivity data. A striatal connectivity index was created, comprising functional connections of the striatum that predicted treatment response. This striatal connectivity index was tested on a generalizability cohort of patients with psychotic disorders who were hospitalized for an acute psychotic episode.

Results: A total of 91 regions functionally connected with the striatum provided significant prognostic information. Connectivity in these regions was used to create a baseline striatal connectivity index that predicted response to antipsychotic treatment with high sensitivity and specificity in both the discovery and generalizability cohorts.

Conclusions: These results provide evidence that individual differences in striatal functional connectivity predict response to antipsychotic drug treatment in acutely psychotic patients. With further development, this has the potential to serve as a prognostic biomarker with clinical utility and to reduce the overall burden associated with psychotic illnesses.

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References
1.
Vos T, Flaxman A, Naghavi M, Lozano R, Michaud C, Ezzati M . Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380(9859):2163-96. PMC: 6350784. DOI: 10.1016/S0140-6736(12)61729-2. View

2.
Correll C, Malhotra A, Kaushik S, McMeniman M, Kane J . Early prediction of antipsychotic response in schizophrenia. Am J Psychiatry. 2003; 160(11):2063-5. DOI: 10.1176/appi.ajp.160.11.2063. View

3.
Haynes V, Zhu B, Stauffer V, Kinon B, Stensland M, Xu L . Long-term healthcare costs and functional outcomes associated with lack of remission in schizophrenia: a post-hoc analysis of a prospective observational study. BMC Psychiatry. 2012; 12:222. PMC: 3537521. DOI: 10.1186/1471-244X-12-222. View

4.
Robinson D, Woerner M, Alvir J, Geisler S, Koreen A, Sheitman B . Predictors of treatment response from a first episode of schizophrenia or schizoaffective disorder. Am J Psychiatry. 1999; 156(4):544-9. DOI: 10.1176/ajp.156.4.544. View

5.
Ascher-Svanum H, Nyhuis A, Faries D, Kinon B, Baker R, Shekhar A . Clinical, functional, and economic ramifications of early nonresponse to antipsychotics in the naturalistic treatment of schizophrenia. Schizophr Bull. 2007; 34(6):1163-71. PMC: 2632496. DOI: 10.1093/schbul/sbm134. View