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Neuroscience-driven discovery and development of sleep therapeutics
Abstract
Until recently, neuroscience has given sleep research and discovery of better treatments of sleep disturbances little attention, despite the fact that disturbed sleep has overwhelming impact on human health. Sleep is a complex phenomenon in which specific psychological, electrophysiological, neurochemical, endocrinological, immunological and genetic factors are involved. The brain as both the generator and main object of sleep is obviously of particular interest, which makes a neuroscience-driven view the most promising approach to evaluate clinical implications and applications of sleep research. Polysomnography as the gold standard of sleep research, complemented by brain imaging, neuroendocrine testing, genomics and other laboratory measures can help to create composite biomarkers that allow maximizing the effects of individualized therapies while minimizing adverse effects. Here we review the current state of the neuroscience of sleep, sleep disorders and sleep therapeutics and will give some leads to promote the discovery and development of sleep medicines that are better than those we have today.
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“Based on objective PSG and actigraphy assessment, various indicators of disrupted sleep have been reported in RA patients compared with healthy control participants, including increases in α-EEG intrusion, arousals, sleep stage shifts, sleep fragmentation, and nocturnal wake time (54, 160, 237, 351, 472).”
From The Sleep-Immune Crosstalk in Health and Disease (2019) · cites this paper as [160]
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“Therefore, the scoring of sleep stages may be challenging [18].”
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Self-citationNeural correlates of insight in dreaming and psychosis
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Metadata
- Authors
- Dresler, M., Spoormaker, V. I., Beitinger, P., Czisch, M., Kimura, M., Steiger, A., & Holsboer, F.
- Affiliations
- Max Planck Institute of Psychiatry (DE)
- Max Planck Society (DE)
- Corresponding author
- Holsboer, F.
- Venue
- Pharmacology & Therapeutics
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 141
- Issue
- 3
- Pages
- 300-334
- ISSN
- 0163-7258 (ISSN-L)
- OpenAlex
- W2065074889
- Semantic Scholar
- 8f84f6c1b91d3a60af74b2077877bb1add9b2cc1
- Cited by
- 63
- References
- 697
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 7 · 2022: 2 · 2021: 7 · 2020: 4 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 7 · 2015: 10 · 2014: 5
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pharmacology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Keywords
- sleep disorders, polysomnography, neuroimaging, composite biomarker, personalized treatment, adverse effects
- MeSH terms
- Animals, Brain, Humans, Neurosciences, Sleep, Sleep Wake Disorders, Drug Design, Polysomnography, Biomedical Research, Neuroimaging
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.
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