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J Alzheimers Dis ; 56(1): 261-273, 2017.
Article in English | MEDLINE | ID: mdl-27886010

ABSTRACT

BACKGROUND: Few studies have evaluated the impact of marijuana use on regional cerebral blood flow. OBJECTIVE: To determine whether perfusion in specific brain regions on functional neuroimaging, including those affected by Alzheimer's disease pathology, are abnormal in marijuana users compared to controls. METHOD: Persons with a diagnosis of cannabis use disorder by DSM-IV and DSM-V criteria (n = 982) were compared to controls (n = 92) with perfusion neuroimaging with SPECT at rest and at a concentration task. Perfusion estimates were quantified using a standard atlas. Cerebral perfusion differences were calculated using one-way ANOVA. Diagnostic separation was determined with discriminant analysis of all subjects. Feature selection with a minimum redundancy maximum relevancy (mRMR) identified predictive regions in a subset of marijuana users (n = 436) with reduced psychiatric co-morbidities. RESULTS: Marijuana users showed lower cerebral perfusion on average (p < 0.05). Discriminant analysis distinguished marijuana users from controls with correct classification of 96% and leave one out cross-validation of 92%. With concentration SPECT regions, there was correct classification of 95% with a leave-one-out cross validation of 90%. AUC analysis for concentration SPECT regions showed 95% accuracy, 90% sensitivity, and 83% specificity. The mRMR analysis showed right hippocampal hypoperfusion on concentration SPECT imaging was the most predictive in separating marijuana subjects from controls. CONCLUSION: Multiple brain regions show low perfusion on SPECT in marijuana users. The most predictive region distinguishing marijuana users from healthy controls, the hippocampus, is a key target of Alzheimer's disease pathology. This study raises the possibility of deleterious brain effects of marijuana use.


Subject(s)
Cerebrovascular Circulation/physiology , Hippocampus/diagnostic imaging , Marijuana Use/pathology , Adolescent , Adult , Aged , Aged, 80 and over , Analysis of Variance , Female , Humans , Image Processing, Computer-Assisted , Male , Marijuana Use/epidemiology , Middle Aged , Perfusion Imaging , Psychotic Disorders/diagnostic imaging , Psychotic Disorders/epidemiology , ROC Curve , Retrospective Studies , Tomography, Emission-Computed, Single-Photon , Young Adult
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