Cortico-striatal circuits: novel therapeutic targets for substance use disorders
Open accessAbstract
It is widely believed that substance use disorder (SUD) results from both pre-alterations (vulnerability) and/or post-alterations (drug effects) on cortico-striatal circuits. These circuits are essential for cognitive control, motivation, reward dependent learning, and emotional processing. As such, dysfunctions in cortico-striatal circuits are thought to relate to the core features of SUD, which include compulsive drug use, loss of the ability to control drug intake, and the emergence of negative emotional states (Koob and Volkow, 2010. Neuropsychopharmacology 35(1), 217-238). While the brain circuits underlying SUD have been studied in human patients largely through imaging studies, experiments in animals have allowed researchers to examine the specific cell-types within these circuits to reveal their role in behavior relevant to SUD. Here, we will review imaging studies on cortico-striatal systems that are altered in SUD, and describe animal experiments that relate SUD to specific neural projections and cell types within this circuitry. We will end with a discussion of novel clinical approaches such as deep brain stimulation (DBS), repeated transcranial magnetic stimulation (rTMS), and pharmacological targeting of G protein-coupled receptor (GPCR) heteromers that may provide promising avenues for modulating these circuits to combat SUD in humans.
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Reduced inhibitory control and disinhibition are linked to relapse susceptibility.
“Reduced inhibitory control and disinhibition are also associated with relapse susceptibility [13–17].”
In humans, case studies have reported that stimulation to the ventral striatum/nucleus accumbens (NAc) reduced the consumption of substances of abuse, such as alcohol, nicotine, and heroin.
“In humans, case studies have reported that stimulation to the ventral striatum/nucleus accumbens (NAc) reduced the consumption of substances of abuse, such as alcohol, nicotine, and heroin [14].”
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Mahoney, J. J., Hanlon, C. A., Marshalek, P. J., Rezai, A. R., & Krinke, L. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117149 · Cited by 121 · see citing works
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- Authors
- Kravitz, A. V., Tomasi, D., LeBlanc, K. H., Baler, R., Volkow, N. D., Bonci, A., & Ferré, S.
- Affiliations
- National Institute on Drug Abuse (US)
- National Institute on Alcohol Abuse and Alcoholism (US)
- National Institute of Diabetes and Digestive and Kidney Diseases (US)
- Corresponding author
- Bonci, Antonello
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 1628
- Issue
- Pt A
- Pages
- 186-198
- ISSN
- 0006-8993 (ISSN-L)
- PMC
- PMC9364041
- OpenAlex
- W2028920661
- Cited by
- 63
- References
- 153
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 3 · 2018: 7 · 2017: 11 · 2016: 11 · 2015: 5
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 DA999999)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- corticostriatal circuits, substance use disorders, therapeutic target, deep brain stimulation, neural cell types, compulsive drug use, cognitive control, reward learning, emotional processing, addiction vulnerability
- MeSH terms
- Animals, Cerebral Cortex, Corpus Striatum, Humans, Neural Pathways, Substance-Related Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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