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Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population

BACKGROUND: The effects of cannabis consumption on neurophysiological function have been a matter of considerable debate. With the legalization of medical marijuana, understanding the consequences of cannabis dependence has become extremely important. AIM: We attempted to understand the influence of...

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Autores principales: Parkar, Shubhangi R., Ramanathan, Seethalakshmi, Nair, Narendra, Batra, Shefali A., Adarkar, Shilpa A., Pandit, Anirudh G., Kund, Purushottam, Baghel, Nawab Singh
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990823/
https://www.ncbi.nlm.nih.gov/pubmed/21180408
http://dx.doi.org/10.4103/0019-5545.70976
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author Parkar, Shubhangi R.
Ramanathan, Seethalakshmi
Nair, Narendra
Batra, Shefali A.
Adarkar, Shilpa A.
Pandit, Anirudh G.
Kund, Purushottam
Baghel, Nawab Singh
author_facet Parkar, Shubhangi R.
Ramanathan, Seethalakshmi
Nair, Narendra
Batra, Shefali A.
Adarkar, Shilpa A.
Pandit, Anirudh G.
Kund, Purushottam
Baghel, Nawab Singh
author_sort Parkar, Shubhangi R.
collection PubMed
description BACKGROUND: The effects of cannabis consumption on neurophysiological function have been a matter of considerable debate. With the legalization of medical marijuana, understanding the consequences of cannabis dependence has become extremely important. AIM: We attempted to understand the influence of cannabis on cerebral glucose metabolism in certain predetermined regions of interest (ROIs). Furthermore, we also explored inter-regional metabolic relationships between ROIs forming the “addiction” and “cognitive dysmetria” circuit. MATERIALS AND METHODS: 2-fluoro, 2-deoxy-glucose positron emission tomography (FDG PET) scans were carried out in 16 male patients (age: 25.3±10.38 years) with cannabis dependence, 8–12 hours after the last cannabis consumption. Resting glucose uptake in 14 pre-determined ROIs was compared with glucose uptake in 16 non-drug using volunteers (age: 29.2±8.39 years). RESULTS: The two groups differed in their lateral and medial temporal glucose uptakes by approximately 16–24%. The relationships between inter-regional glucose uptakes in the two circuits were compared using the Chow Test. Significant differences in inter-regional correlations in the medial temporo–frontal and parieto–thalamic were noted between the two groups. CONCLUSION: The altered metabolic relationships among various brain regions can have potentially important implications for understanding cannabis dependence and cannabis-induced psychopathology.
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spelling pubmed-29908232010-12-21 Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population Parkar, Shubhangi R. Ramanathan, Seethalakshmi Nair, Narendra Batra, Shefali A. Adarkar, Shilpa A. Pandit, Anirudh G. Kund, Purushottam Baghel, Nawab Singh Indian J Psychiatry Original Article BACKGROUND: The effects of cannabis consumption on neurophysiological function have been a matter of considerable debate. With the legalization of medical marijuana, understanding the consequences of cannabis dependence has become extremely important. AIM: We attempted to understand the influence of cannabis on cerebral glucose metabolism in certain predetermined regions of interest (ROIs). Furthermore, we also explored inter-regional metabolic relationships between ROIs forming the “addiction” and “cognitive dysmetria” circuit. MATERIALS AND METHODS: 2-fluoro, 2-deoxy-glucose positron emission tomography (FDG PET) scans were carried out in 16 male patients (age: 25.3±10.38 years) with cannabis dependence, 8–12 hours after the last cannabis consumption. Resting glucose uptake in 14 pre-determined ROIs was compared with glucose uptake in 16 non-drug using volunteers (age: 29.2±8.39 years). RESULTS: The two groups differed in their lateral and medial temporal glucose uptakes by approximately 16–24%. The relationships between inter-regional glucose uptakes in the two circuits were compared using the Chow Test. Significant differences in inter-regional correlations in the medial temporo–frontal and parieto–thalamic were noted between the two groups. CONCLUSION: The altered metabolic relationships among various brain regions can have potentially important implications for understanding cannabis dependence and cannabis-induced psychopathology. Medknow Publications 2010 /pmc/articles/PMC2990823/ /pubmed/21180408 http://dx.doi.org/10.4103/0019-5545.70976 Text en © Indian Journal of Psychiatry http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Parkar, Shubhangi R.
Ramanathan, Seethalakshmi
Nair, Narendra
Batra, Shefali A.
Adarkar, Shilpa A.
Pandit, Anirudh G.
Kund, Purushottam
Baghel, Nawab Singh
Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population
title Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population
title_full Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population
title_fullStr Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population
title_full_unstemmed Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population
title_short Cannabis dependence: Effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population
title_sort cannabis dependence: effects of cannabis consumption on inter-regional cerebral metabolic relationships in an indian population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990823/
https://www.ncbi.nlm.nih.gov/pubmed/21180408
http://dx.doi.org/10.4103/0019-5545.70976
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