The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Prefrontal cortex circuits in depression and anxiety: contribution of discrete neuronal populations and target regions
Open accessAbstract
Our understanding of depression and its treatment has advanced with the advent of ketamine as a rapid-acting antidepressant and the development and refinement of tools capable of selectively altering the activity of populations of neuronal subtypes. This work has resulted in a paradigm shift away from dysregulation of single neurotransmitter systems in depression towards circuit level abnormalities impacting function across multiple brain regions and neurotransmitter systems. Studies on the features of circuit level abnormalities demonstrate structural changes within the prefrontal cortex (PFC) and functional changes in its communication with distal brain structures. Treatments that impact the activity of brain regions, such as transcranial magnetic stimulation or rapid-acting antidepressants like ketamine, appear to reverse depression associated circuit abnormalities though the mechanisms underlying the reversal, as well as development of these abnormalities remains unclear. Recently developed optogenetic and chemogenetic tools that allow high-fidelity control of neuronal activity in preclinical models have begun to elucidate the contributions of the PFC and its circuitry to depression- and anxiety-like behavior. These tools offer unprecedented access to specific circuits and neuronal subpopulations that promise to offer a refined view of the circuit mechanisms surrounding depression and potential mechanistic targets for development and reversal of depression associated circuit abnormalities.
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“these changes in neural circuitry are believed to underlie the deficits in learning/memory, mood, motivation, and reward seeking that are characteristic of depression and related disorders (10, 67–74)”
From Psychedelics and Other Psychoplastogens for Treating Mental Illness. (2021) · cites this paper as [74]
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Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988
The World Health Report 2002 - Reducing Risks, Promoting Healthy Life
Available, N. A. N. (2003) · Education for Health · doi:10.1080/1357628031000116808 · Cited by 6,078
Validation of open:closed arm entries in an elevated plus-maze as a measure of anxiety in the rat
Pellow, S., Chopin, P., File, S. E., & Briley, M. (1985) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(85)90031-7 · Cited by 5,822
Deep Brain Stimulation for Treatment-Resistant Depression
Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., Schwalb, J. M., & Kennedy, S. H. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.014 · Cited by 4,059
Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., Norquist, G., Howland, R. H., Lebowitz, B., McGrath, P. J., et al. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.28 · Cited by 3,879
Antidepressant effects of ketamine in depressed patients
Berman, R. M., Cappiello, A., Anand, A., Oren, D. A., Heninger, G. R., Charney, D. S., & Krystal, J. H. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00230-9 · Cited by 3,856
A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression.
Zarate, C. A., Singh, J. B., Carlson, P. J., Brutsche, N. E., Ameli, R., Luckenbaugh, D. A., Charney, D. S., & Manji, H. K. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.8.856 · Cited by 3,766
A Neurotrophic Model for Stress-Related Mood Disorders
Duman, R. S., & Monteggia, L. M. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.02.013 · Cited by 3,375
Self-citationThe use of the elevated plus maze as an assay of anxiety-related behavior in rodents
Walf, A. A., & Frye, C. A. (2007) · Nature Protocols · doi:10.1038/nprot.2007.44 · Cited by 3,035
mTOR-Dependent Synapse Formation Underlies the Rapid Antidepressant Effects of NMDA Antagonists
Li, N., Lee, B., Liu, R.-J., Banasr, M., Dwyer, J. M., Iwata, M., Li, X.-Y., Aghajanian, G., & Duman, R. S. (2010) · Science · doi:10.1126/science.1190287 · Cited by 2,881
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Circuit organization of the rodent medial prefrontal cortex
Anastasiades, P. G., & Carter, A. G. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.03.006 · Cited by 314
Towards an understanding of psychedelic-induced neuroplasticity
Calder, A. E., & Hasler, G. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-022-01389-z · Cited by 313
Pharmacological and behavioral divergence of ketamine enantiomers: implications for abuse liability
Bonaventura, J., Lam, S., Carlton, M., Boehm, M. A., Gomez, J. L., Solís, O., Sánchez-Soto, M., Morris, P. J., Fredriksson, I., Thomas, C. J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01093-2 · Cited by 271
ERK/MAPK signalling in the developing brain: Perturbations and consequences
Iroegbu, J. D., Ijomone, O. K., Femi-Akinlosotu, O. M., & Ijomone, O. M. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.10.009 · Cited by 212
Pentkowski, N. S., Rogge-Obando, K., Donaldson, T. N., Bouquin, S. J., & Clark, B. J. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.05.005 · Cited by 177
Metadata
- Authors
- Hare, B. D., & Duman, R. S.
- Affiliations
- Yale University (US)
- Corresponding author
- Hare, Brendan D.
- Venue
- Molecular Psychiatry
- Published
- 2020-02-21
- Volume
- 25
- Issue
- 11
- Pages
- 2742-2758
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- PMC
- PMC7442605
- OpenAlex
- W3007694136
- Cited by
- 366
- References
- 128
- Citations by year
- 2026: 33 · 2025: 69 · 2024: 67 · 2023: 65 · 2022: 66 · 2021: 55 · 2020: 11
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Molecular Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01 MH105910-04, RO1 MH093897-06A1)
- Brain and Behavior Research Foundation (NARSAD to BH)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- prefrontal cortex, depression, anxiety, neural circuits, neuronal subpopulations, ketamine, rapid-acting antidepressants, transcranial magnetic stimulation, optogenetics, chemogenetics, depression-like behavior, anxiety-like behavior, neurotransmitter systems
- MeSH terms
- Antidepressive Agents, Anxiety, Depression, Ketamine, Neural Pathways, Prefrontal Cortex
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