ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2020
Integrating sleep, neuroimaging, and computational approaches for precision psychiatry.
Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Sleep Problems and Workplace Violence: A Systematic Review and Meta-Analysis.Frontiers in neuroscience · 2019Pooled it
- Examining fronto-limbic brain and sleep mechanisms of antidepressant effects in cognitive-behavioral therapy for insomnia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Trial
- Effect of low-frequency repetitive transcranial magnetic stimulation as adjunctive treatment for insomnia patients under hypnotics: A randomized, double-blind, sham-controlled study.Journal of the Chinese Medical Association : JCMA · 2023Trial
- Can we predict sleep health based on brain features? A large-scale machine learning study using the UK Biobank.Brain communications · 2026Article
- Within-person associations of daily activity to sleep actigraphy following trauma: Explicating a novel index of risk for major depressive disorder and posttraumatic stress disorder.Journal of psychopathology and clinical science · 2025Article
- Difficult-to-Treat Anxiety: A Neurocomputational Framework.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Moving toward precision and personalized treatment strategies in psychiatry.The international journal of neuropsychopharmacology · 2025Review
- The interplay between insomnia symptoms and Alzheimer's disease across three main brain networks.Sleep · 2024Article
- Article
- Discriminating Paradoxical and Psychophysiological Insomnia Based on Structural and Functional Brain Images: A Preliminary Machine Learning Study.Brain sciences · 2023Article
- Topologically Disrupted Gray Matter Networks in Drug-Naïve Essential Tremor Patients With Poor Sleep Quality.Frontiers in neurology · 2022Article
- Disrupted Brain Functional Network Topology in Essential Tremor Patients With Poor Sleep Quality.Frontiers in neuroscience · 2022Article
- Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.Scientific reports · 2021Article
- Left superior temporal sulcus morphometry mediates the impact of anxiety and depressive symptoms on sleep quality in healthy adults.Social cognitive and affective neuroscience · 2021Article
- Repeated Digitized Assessment of Risk and Symptom Profiles During Inpatient Treatment of Affective Disorder: Observational Study.JMIR mental health · 2020Article
- Article
- Major depressive disorder and insomnia: Exploring a hypothesis of a common neurological basis using waking and sleep-derived heart rate variability.Journal of psychiatric research · 2020Article
- Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches.International journal of molecular sciences · 2020Review
- Sleep and neuropsychiatric illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
In advancing precision psychiatry, we focus on what imaging technology and computational approaches offer for the future of diagnostic subtyping and personalized tailoring of interventions for sleep impairment in mood and anxiety disorders. Current diagnostic criteria for mood and anxiety tend to lump different forms of sleep disturbance together. Parsing the biological features of sleep impairment and brain circuit dysfunction is one approach to identifying subtypes within these disorders that are mechanistically coherent and offer targets for intervention. We focus on two large-scale neural circuits implicated in sleep impairment and in mood and anxiety disorders: the default mode network and negative affective network. Through a synthesis of existing knowledge about these networks, we pose a testable framework for understanding how hyper- versus hypo-engagement of these networks may underlie distinct features of mood and sleep impairment. Within this framework we consider whether poor sleep quality may have an explanatory role in previously observed associations between network dysfunction and mood symptoms. We expand this framework to future directions including the potential for connecting circuit-defined subtypes to more distal features derived from digital phenotyping and wearable technologies, and how new discovery may be advanced through machine learning approaches.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.