The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Long-term effects of marijuana use on the brain
Open accessAbstract
Significance: The existing literature on the long-term effects of marijuana on the brain provides an inconsistent picture (i.e., presence or absence of structural changes) due to methodological differences across studies. We overcame these methodological issues by collecting multimodal measures in a large group of chronic marijuana using adults with a wide age range that allows for characterization of changes across lifespan without developmental or maturational biases as in other studies. Our findings suggest that chronic marijuana use is associated with complex neuroadaptive processes and that onset and duration of use have unique effects on these processes.
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“higher FA has been observed following regular initial marijuana use, but FA then decreases with extended use (Filbey et al., 2014).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Filbey et al., 2014
In the citing paper
“The relationship between RD and cannabis use is similarly mixed, with studies finding higher (Ashtari et al., 2009; Becker, Collins, Lim, Muetzel, & Luciana, 2015; Jakabek et al., 2016), lower (Filbey et al., 2014; Jakabek et al., 2016), or nonsignificant (Shollenbarger et al., 2015) differences in cannabis users relative to controls.”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Filbey et al., 2014
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Citations
Cites
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681
Emotion, Decision Making and the Orbitofrontal Cortex
Bechara, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.295 · Cited by 3,589
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
Reproducibility of quantitative tractography methods applied to cerebral white matter
Wakana, S., Caprihan, A., Panzenboeck, M. M., Fallon, J. H., Perry, M., Gollub, R. L., Hua, K., Zhang, J., Jiang, H., Dubey, P., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.049 · Cited by 1,686
Self-citationImmunohistochemical distribution of cannabinoid CB1 receptors in the rat central nervous system
Tsou, K., Brown, S., Sañudo-Peña, M. C., Mackie, K., & Walker, J. M. (1998) · Neuroscience · doi:10.1016/s0306-4522(97)00436-3 · Cited by 1,586
Disease and the brain's dark energy
Zhang, D., & Raichle, M. E. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.198 · Cited by 928
Kringelbach, M. L. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.10.1064 · Cited by 824
Hirvonen, J., Goodwin, R. S., Li, C.-T., Terry, G. E., Zoghbi, S. S., Morse, C., Pike, V. W., Volkow, N. D., Huestis, M. A., & Innis, R. B. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.82 · Cited by 587
Energetic cost of brain functional connectivity
Tomasi, D. G., Wang, G., & Volkow, N. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303346110 · Cited by 581
Research works printed but not linked: 2
- CM Gremel G Luo D Lovinger R Costa Endocannabinoid signaling in orbitofrontal cortex modulates habit formation. Society for Neuroscience Conference (Society for Neuroscience San Francisco). (2013).
- MB First RL Spitzer M Gibbon JBW Williams User's Guide for the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) (American Psychiatric Press Washington DC). (1997).
Cited by
Sorted by citations
The neuropsychopharmacology of cannabis: A review of human imaging studies
Bloomfield, M., Hindocha, C., Green, S. F., Wall, M. B., Lees, R., Petrilli, K., Costello, H., Ogunbiyi, O., Bossong, M. G., & Freeman, T. P. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.10.006 · Cited by 251
“Nonetheless, other studies have found effects on orbitofrontal connectivity whereby structural fractional anisotropy in the forceps minor increased with regular use but then decreased following long-term heavy use (Filbey et al., 2014), which would support an effect of drug use on structural connectivity.”
BackgroundResultThe Role of cannabinoids in neuroanatomic alterations in cannabis users.
Lorenzetti, V., Solowij, N., & Yücel, M. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.013 · Cited by 208
“Lifetime episodes of cannabis use ranged from 402 (60) to 5625 (42).”
BackgroundInfluentialCannabis-associated psychosis: Neural substrate and clinical impact
Murray, R. M., Englund, A., Abi‐Dargham, A., Lewis, D. A., Forti, M. D., Davies, C., Sherif, M. A., McGuire, P. K., & D’Souza, D. C. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.06.018 · Cited by 210
“…depersonalization and derealization, distorted sensory perceptions, and extreme slowing of time (Bhattacharyya et al., 2010a, 2012a, 2015a; D'Souza et al., 2004, 2008a,b, 2012; Freeman et al., 2015; Koethe et al., 2006; Leweke et al., 1999a,b; Leweke et al., 2000; Morrison et al., 2009b).”
Pando‐Naude, V., Toxto, S., Fernandez‐Lozano, S., Parsons, C. E., Alcauter, S., & Garza‐Villarreal, E. A. (2021) · Translational Psychiatry · doi:10.1038/s41398-020-01128-2 · Cited by 195
Finding the Elusive Psychiatric “Lesion” With 21st-Century Neuroanatomy: A Note of Caution
Weinberger, D. R., & Radulescu, E. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15060753 · Cited by 173
Metadata
- Authors
- Filbey, F. M., Aslan, S., Calhoun, V. D., Spence, J. S., Damaraju, E., Caprihan, A., & Segall, J.
- Affiliations
- The University of Texas at Dallas (US)
- IBM (United States) (US)
- Mind Research Network (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-11-10
- Volume
- 111
- Issue
- 47
- Pages
- 16913-16918
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4250161
- OpenAlex
- W2160384401
- Cited by
- 249
- References
- 52
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 15 · 2023: 17 · 2022: 22 · 2021: 29 · 2020: 37 · 2019: 19 · 2018: 21 · 2017: 22 · 2016: 25 · 2015: 23
- FWCI
- 16.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse (K01DA021632, R01DA030344)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Cannabis and Cannabinoid Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- cannabis use, chronic cannabis use, brain structure, gray matter volume, orbitofrontal cortex, functional connectivity, structural connectivity, forceps minor, white matter integrity, age of onset, neural adaptation
- MeSH terms
- Adult, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Marijuana Smoking, Case-Control Studies, Young Adult
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