Literature DB >> 27886010

Discriminative Properties of Hippocampal Hypoperfusion in Marijuana Users Compared to Healthy Controls: Implications for Marijuana Administration in Alzheimer's Dementia.

Daniel G Amen1, Borhan Darmal1, Cyrus A Raji2, Weining Bao3, Lantie Jorandby1, Somayeh Meysami4, Cauligi S Raghavendra3.   

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.

Entities:  

Keywords:  Hippocampus; SPECT; imaging; marijuana

Mesh:

Year:  2017        PMID: 27886010     DOI: 10.3233/JAD-160833

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  7 in total

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Authors:  Napatsorn Saiyasit; Evan-Angelo R Butlig; Samantha D Chaney; Miranda K Traylor; Nanako A Hawley; Ryleigh B Randall; Hanna V Bobinger; Carl A Frizell; Franklin Trimm; Errol D Crook; Mike Lin; Benjamin D Hill; Joshua L Keller; Amy R Nelson
Journal:  Front Neurosci       Date:  2022-06-29       Impact factor: 5.152

2.  Increased Asymmetric Perfusion of the Cerebral Cortices and Thalamus Indicates Individuals at Risk for Bipolar Disorder: A Family Cohort Single Photon Emission Computed Tomography Neuroimaging Study.

Authors:  Mary McLean; Theodore A Henderson; Dan G Pavel; Phil Cohen
Journal:  Front Psychiatry       Date:  2022-05-10       Impact factor: 5.435

3.  Public Interest in Cognitive Impairment: An Analysis of the Top 50 Articles on Cognitive Impairment on Altmetric.

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4.  Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.

Authors:  Matthew S Shane; William J Denomme
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Review 5.  The Legacy of the TTASAAN Report-Premature Conclusions and Forgotten Promises: A Review of Policy and Practice Part I.

Authors:  Dan G Pavel; Theodore A Henderson; Simon DeBruin
Journal:  Front Neurol       Date:  2022-03-28       Impact factor: 4.086

6.  Patterns of Regional Cerebral Blood Flow as a Function of Obesity in Adults.

Authors:  Daniel G Amen; Joseph Wu; Noble George; Andrew Newberg
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

7.  A New Way Forward: How Brain SPECT Imaging Can Improve Outcomes and Transform Mental Health Care Into Brain Health Care.

Authors:  Daniel G Amen; Michael Easton
Journal:  Front Psychiatry       Date:  2021-12-10       Impact factor: 4.157

  7 in total

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