The DOI matches its Crossref record; 55 of the 57 references it cites were found in a registry or an index.
Corpus callosum damage in heavy marijuana use: Preliminary evidence from diffusion tensor tractography and tract-based spatial statistics
Abstract
Heavy marijuana use has well established long term consequences for cognition and mental health, but the effect on brain structure is less well understood. We used an MRI technique that is sensitive to the structural integrity of brain tissue combined with a white matter mapping tractography technique to investigate structural changes in the corpus callosum (CC). Diffusion tensor imaging (DTI) was obtained in eleven heavy marijuana users who started using marijuana in early adolescence and eleven age matched controls. Mean diffusivity (MD) and fractional anisotropy (FA) (which measure structural integrity and tract coherence, respectively) were analysed within the corpus callosum which was spatially defined using tractography and tract-based spatial statistics (TBSS). MD was significantly increased in marijuana users relative to controls in the region of the CC where white matter passes between the prefrontal lobes. This observation suggests impaired structural integrity affecting the fibre tracts of the CC and is in keeping with previous reports of altered and diversified activation patterns in marijuana users. There was a trend towards a positive correlation between MD and length of use suggesting the possibility of a cumulative effect of marijuana over time and that a younger age at onset of use may predispose individuals to structural white matter damage. Structural abnormalities revealed in the CC may underlie cognitive and behavioural consequences of long term heavy marijuana use.
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In the citing paper
“Gross anatomical estimations indicate that alcohol-abusing individuals have lower white matter volume (Arnone et al., 2008; Pfefferbaum, Adalsteinsson, & Sullivan, 2006).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Arnone et al., 2008
In the citing paper
“One preliminary study (Arnone et al., 2008) found no white matter differences between users and non-users”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Arnone et al., 2008
Citations
Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Self-citationEstimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Fuster, J. M. (1997) · Cited by 2,095
MRI-PET Registration with Automated Algorithm
Woods, R. P., Mazziotta, J. C., & Cherry, A. S. R. (1993) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199307000-00004 · Cited by 1,636
3D statistical neuroanatomical models from 305 MRI volumes
Evans, A. C., Collins, D. L., Mills, S., Brown, E. D., Kelly, R. L., & Peters, T. M. (2005) · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · doi:10.1109/nssmic.1993.373602 · Cited by 1,487
Vogt, B. A., Finch, D. M., & Olson, C. R. (1992) · Cerebral Cortex · doi:10.1093/cercor/2.6.435-a · Cited by 1,315
Cognitive Functioning of Long-term Heavy Cannabis Users Seeking Treatment
Solowij, N. (2002) · JAMA · doi:10.1001/jama.287.9.1123 · Cited by 798
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Batalla, A., Bhattacharyya, S., Yücel, M., Fusar‐Poli, P., Crippa, J. A. S., Nogué, S., Torrens, M., Pujol, J., Farré, M., & Martín‐Santos, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055821 · Cited by 437
Alterations in brain structure and functional connectivity in prescription opioid-dependent patients
Upadhyay, J., Maleki, N., Potter, J. S., Elman, I., Rudrauf, D., Knudsen, J., Wallin, D. J., Pendse, G., McDonald, L., Griffin, M. L., et al. (2010) · Brain · doi:10.1093/brain/awq138 · Cited by 403
Cannabis and adolescent brain development.
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Effect of long-term cannabis use on axonal fibre connectivity
Zalesky, A., Solowij, N., Yücel, M., Lubman, D. I., Takagi, M., Harding, I. H., Lorenzetti, V., Wang, R., Searle, K., Pantelis, C., et al. (2012) · Brain · doi:10.1093/brain/aws136 · Cited by 340
Cousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.046 · Cited by 287
Metadata
- Authors
- Arnone, D., Barrick, T. R., Chengappa, S., Mackay, C. E., Clark, C. A., & Abou-Saleh, M. T.
- Affiliations
- Warneford Hospital (GB)
- St George's, University of London (GB)
- University College London (GB)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-07
- Volume
- 41
- Issue
- 3
- Pages
- 1067-1074
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2036091286
- Cited by
- 178
- References
- 57
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 19 · 2022: 5 · 2021: 3 · 2020: 12 · 2019: 10 · 2018: 8 · 2017: 6 · 2016: 7 · 2015: 12 · 2014: 15 · 2013: 11 · 2012: 9
- FWCI
- 14.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- University of London
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Pharmacology (medical) › Cannabis and Cannabinoid Research
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- cannabis use, heavy cannabis use, corpus callosum, white matter integrity, mean diffusivity, fractional anisotropy, duration of use, prefrontal white matter, brain structural changes, adolescent cannabis use
- MeSH terms
- Adult, Cannabis, Corpus Callosum, Humans, Image Processing, Computer-Assisted, Male, Diffusion Magnetic Resonance Imaging
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