The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Imaging the Addicted Human Brain
Open accessAbstract
Modern imaging techniques enable researchers to observe drug actions and consequences as they occur and persist in the brains of abusing and addicted individuals. This article presents the five most commonly used techniques, explains how each produces images, and describes how researchers interpret them. The authors give examples of key findings illustrating how each technique has extended and deepened our knowledge of the neurobiological bases of drug abuse and addiction, and they address potential clinical and therapeutic applications.
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Cites
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Self-citationBrain blood flow measured with intravenous H2(15)O. II. Implementation and validation.
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Cited by
Reward Processing by the Opioid System in the Brain
Le Merrer, J., Becker, J. A. J., Befort, K., & Kieffer, B. L. (2009) · Physiological Reviews · doi:10.1152/physrev.00005.2009 · Cited by 1,013
Epigenetic regulation of brain region-specific microglia clearance activity
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Craving's place in addiction theory: Contributions of the major models
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Voices from within: gut microbes and the CNS
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New developments in brain research of internet and gaming disorder
Weinstein, A., Livny, A., & Weizman, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.040 · Cited by 257
Metadata
- Authors
- Fowler, J., Volkow, N., Kassed, C., & Chang, L.
- Venue
- Science & Practice Perspectives
- Publisher
- NIDA/RTI International
- Published
- 2007-04
- Volume
- 3
- Issue
- 2
- Pages
- 4-16
- ISSN
- 1930-4307 (ISSN-L)
- 1930-4315
- OpenAlex
- W1981947814
- Cited by
- 302
- References
- 101
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- green
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- Fowler, J., Volkow, N., Kassed, C., & Chang, L. (2007). Imaging the Addicted Human Brain. Science & Practice Perspectives. https://doi.org/10.1151/spp07324
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
