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Annual Review of Neuroscience

ISSN 1545-4126

3 papers in the library · 4,095 citations · publishing 2015-2026

Papers

The Brain's Default Mode Network

Annual Review of Neuroscience May 4, 2015 Marcus E. Raichle 4,082 citations

The brain's default mode network consists of discrete, bilateral, and symmetrical cortical areas found in humans, nonhuman primates, cats, and rodents. It was discovered unexpectedly through PET imaging when novel, attention-demanding tasks were compared with quiet rest. This network consistently decreases its activity during such tasks relative to relaxed states. Its discovery renewed interest in the brain's ongoing or intrinsic activity, and resting-state studies now play a major role in understanding the human brain in health and disease, with the default mode network central to this work.

Anesthetics as Treatments for Depression: Clinical Insights and Underlying Mechanisms.

Annual Review of Neuroscience February 19, 2025 Macauley Smith Breault, Sirma Orguc, Ohyoon Kwon et al. 13 citations

Several anesthetic agents beyond ketamine show antidepressant effects, including nitrous oxide, propofol, isoflurane, sevoflurane, dexmedetomidine, and xenon. This review examines clinical and basic science studies on these anesthetics for treating depression. The authors propose that anesthetics may alleviate depression by modulating brain dynamics that alter arousal states, linking anesthetic mechanisms to depression pathophysiology and findings from other treatments. The work suggests that repurposing anesthetics could offer new options for major depressive disorder and treatment-resistant depression.

The Emerging Neurobiology of Psychedelics: Critical Periods, Metaplasticity, and Extracellular Matrix Remodeling.

Annual Review of Neuroscience July 1, 2026 Gül Dölen, Makenzie L Wilkinson

Psychedelics reopen critical periods, induce metaplasticity, and reorganize the extracellular matrix, which helps explain their diverse, durable, and context-dependent therapeutic effects. This neurobiological evidence challenges the biochemical imbalance model that has dominated translational neuroscience since the 1950s and supports a learning model that better accounts for psychedelics' unique therapeutic profile.