A Circuit-Based Information Approach to Substance Abuse Research
Trends in Neurosciences, ISSN: 0166-2236, Vol: 44, Issue: 2, Page: 122-135
2021
- 22Citations
- 65Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations22
- Citation Indexes22
- CrossRef22
- 21
- Captures65
- Readers65
- 65
Review Description
Recent animal research on substance-use disorders (SUDs) has emphasized learning models and the identification of ‘addiction-prone’ animals. Meanwhile, basic neuroscientific research has elucidated molecular, cellular, and circuit functions with increasing sophistication. However, SUD-related research is hampered by continued arguments over which animal models are more ‘addiction like’, as well as the facile assignment of behaviors to a given brain region and vice versa. We argue that SUD-related research would benefit from a ‘bottom-up’ approach including: (i) the characterization of different brain circuits to understand their normal function as well as how they respond to drugs and contribute to SUDs; and (ii) a focus on the use patterns and neurobiological effects of different substances to understand the range of critical SUD-related in vivo phenotypes.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0166223620302253; http://dx.doi.org/10.1016/j.tins.2020.10.005; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85096147611&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33168235; https://linkinghub.elsevier.com/retrieve/pii/S0166223620302253; https://dx.doi.org/10.1016/j.tins.2020.10.005
Elsevier BV
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