TY - JOUR
T1 - Interaction of Cannabis Use Disorder and Striatal Connectivity in Antipsychotic Treatment Response
AU - Thies, Melanie Blair
AU - DeRosse, Pamela
AU - Sarpal, Deepak K.
AU - Argyelan, Miklos
AU - Fales, Christina L.
AU - Gallego, Juan A.
AU - Robinson, Delbert G.
AU - Lencz, Todd
AU - Homan, Philipp
AU - Malhotra, Anil K.
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Antipsychotic (AP) medications are the mainstay for the treatment of schizophrenia spectrum disorders (SSD), but their efficacy is unpredictable and widely variable. Substantial efforts have been made to identify prognostic biomarkers that can be used to guide optimal prescription strategies for individual patients. Striatal regions involved in salience and reward processing are disrupted as a result of both SSD and cannabis use, and research demonstrates that striatal circuitry may be integral to response to AP drugs. In the present study, we used functional magnetic resonance imaging (fMRI) to investigate the relationship between a history of cannabis use disorder (CUD) and a striatal connectivity index (SCI), a previously developed neural biomarker for AP treatment response in SSD. Patients were part of a 12-week randomized, double-blind controlled treatment study of AP drugs. A sample of 48 first-episode SSD patients with no more than 2 weeks of lifetime exposure to AP medications, underwent a resting-state fMRI scan pretreatment. Treatment response was defined a priori as a binary (response/nonresponse) variable, and a SCI was calculated in each patient. We examined whether there was an interaction between lifetime CUD history and the SCI in relation to treatment response. We found that CUD history moderated the relationship between SCI and treatment response, such that it had little predictive value in SSD patients with a CUD history. In sum, our findings highlight that biomarker development can be critically impacted by patient behaviors that influence neurobiology, such as a history of CUD.
AB - Antipsychotic (AP) medications are the mainstay for the treatment of schizophrenia spectrum disorders (SSD), but their efficacy is unpredictable and widely variable. Substantial efforts have been made to identify prognostic biomarkers that can be used to guide optimal prescription strategies for individual patients. Striatal regions involved in salience and reward processing are disrupted as a result of both SSD and cannabis use, and research demonstrates that striatal circuitry may be integral to response to AP drugs. In the present study, we used functional magnetic resonance imaging (fMRI) to investigate the relationship between a history of cannabis use disorder (CUD) and a striatal connectivity index (SCI), a previously developed neural biomarker for AP treatment response in SSD. Patients were part of a 12-week randomized, double-blind controlled treatment study of AP drugs. A sample of 48 first-episode SSD patients with no more than 2 weeks of lifetime exposure to AP medications, underwent a resting-state fMRI scan pretreatment. Treatment response was defined a priori as a binary (response/nonresponse) variable, and a SCI was calculated in each patient. We examined whether there was an interaction between lifetime CUD history and the SCI in relation to treatment response. We found that CUD history moderated the relationship between SCI and treatment response, such that it had little predictive value in SSD patients with a CUD history. In sum, our findings highlight that biomarker development can be critically impacted by patient behaviors that influence neurobiology, such as a history of CUD.
KW - antipsychotics
KW - cannabis
KW - functional magnetic resonance imaging/biomarker
KW - schizophrenia
UR - http://www.scopus.com/inward/record.url?scp=85151041847&partnerID=8YFLogxK
U2 - 10.1093/schizbullopen/sgaa014
DO - 10.1093/schizbullopen/sgaa014
M3 - Article
AN - SCOPUS:85151041847
SN - 2632-7899
VL - 1
JO - Schizophrenia Bulletin Open
JF - Schizophrenia Bulletin Open
IS - 1
M1 - sgaa014
ER -