On the public citation graph
Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods
0 signed · 423 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ana.21434openalex-snapshot
The electroencephalographic fingerprint of sleep is genetically determined: A twin study
inferredcites →https://doi.org/10.1002/hbm.22116openalex-snapshot
Sleep spindles predict neural and behavioral changes in motor sequence consolidation
inferredcites →https://doi.org/10.1016/0013-4694(76)90142-5openalex-snapshot
The stability of the sigma sleep spindle
inferredcites →https://doi.org/10.1016/0022-3956(67)90027-1openalex-snapshot
EEG sleep patterns as a function of normal and pathological aging in man
inferredcites →https://doi.org/10.1016/j.artmed.2007.04.003openalex-snapshot
Development and comparison of four sleep spindle detection methods
inferredcites →https://doi.org/10.1016/j.bbr.2010.10.019openalex-snapshot
Fast and slow spindle involvement in the consolidation of a new motor sequence
inferredcites →https://doi.org/10.1016/j.biopsych.2008.03.002openalex-snapshot
Heritability of Sleep Electroencephalogram
inferredcites →https://doi.org/10.1016/j.biopsych.2011.08.008openalex-snapshot
Reduced Sleep Spindles and Spindle Coherence in Schizophrenia: Mechanisms of Impaired Memory Consolidation?
inferredcites →https://doi.org/10.1016/j.jad.2012.06.016openalex-snapshot
Topographic and sex-related differences in sleep spindles in major depressive disorder: A high-density EEG investigation
inferredcites →https://doi.org/10.1016/j.jneumeth.2008.11.006openalex-snapshot
The individual adjustment method of sleep spindle analysis: Methodological improvements and roots in the fingerprint paradigm
inferredcites →https://doi.org/10.1016/j.jneumeth.2009.04.006openalex-snapshot
Sleep spindles and spike–wave discharges in EEG: Their generic features, similarities and distinctions disclosed with Fourier transform and continuous wavelet analysis
inferredcites →https://doi.org/10.1016/j.jpsychores.2004.02.001openalex-snapshot
Sleep and quantitative EEG in neurodegenerative disorders
inferredcites →https://doi.org/10.1016/j.neubiorev.2010.12.003openalex-snapshot
The function of the sleep spindle: A physiological index of intelligence and a mechanism for sleep-dependent memory consolidation
inferredcites →https://doi.org/10.1016/j.neurobiolaging.2012.05.020openalex-snapshot
Topography of age-related changes in sleep spindles
inferredcites →https://doi.org/10.1016/j.neuroimage.2005.01.020openalex-snapshot
An electroencephalographic fingerprint of human sleep
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.10.036openalex-snapshot
Sleep spindle-related reactivation of category-specific cortical regions after learning face-scene associations
inferredcites →https://doi.org/10.1016/j.neuron.2011.02.043openalex-snapshot
Regional Slow Waves and Spindles in Human Sleep
inferredcites →https://doi.org/10.1016/j.neuropsychologia.2012.06.008openalex-snapshot
Sleep stage II contributes to the consolidation of declarative memories
inferredcites →https://doi.org/10.1016/j.neuroscience.2005.10.029openalex-snapshot
Grouping of brain rhythms in corticothalamic systems
inferredcites →https://doi.org/10.1016/j.pediatrneurol.2006.09.014openalex-snapshot
Sleep Spindle Abnormalities in Children With Generalized Spike-Wave Discharges
inferredcites →https://doi.org/10.1016/j.ridd.2011.09.004openalex-snapshot
Sleep EEG fingerprints reveal accelerated thalamocortical oscillatory dynamics in Williams syndrome
inferredcites →https://doi.org/10.1016/s0013-4694(97)00070-9openalex-snapshot
Spindle frequency activity in the sleep EEG: individual differences and topographical distribution
inferredcites →https://doi.org/10.1016/s1388-2457(00)00249-2openalex-snapshot
Sleep architecture, slow wave activity, and sleep spindles in adult patients with sleepwalking and sleep terrors
inferredcites →https://doi.org/10.1016/s1388-2457(00)00556-3openalex-snapshot
Sleep spindle characteristics in healthy subjects of different age groups
inferredcites →https://doi.org/10.1016/s1388-2457(01)00570-3openalex-snapshot
Internight reliability and benchmark values for computer analyses of non-rapid eye movement (NREM) and REM EEG in normal young adult and elderly subjects
inferredcites →https://doi.org/10.1016/s1388-2457(02)00237-7openalex-snapshot
The effects of normal aging on sleep spindle and K-complex production
inferredcites →https://doi.org/10.1016/s1389-9457(02)00239-3openalex-snapshot
Spindle frequency remains slow in sleep apnea patientsthroughout the night
inferredcites →https://doi.org/10.1016/s1389-9457(03)00155-2openalex-snapshot
Spindle frequency remains slow in sleep apnea patientsthroughout the night
inferredcites →https://doi.org/10.1016/s1474-4422(03)00323-5openalex-snapshot
Familial and sporadic fatal insomnia
inferredcites →https://doi.org/10.1046/j.1365-2869.2000.00220.xopenalex-snapshot
Optimization of sigma amplitude threshold in sleep spindle detection
inferredcites →https://doi.org/10.1073/pnas.0703084104openalex-snapshot
Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep
inferredcites →https://doi.org/10.1093/aje/kws342openalex-snapshot
Increased Prevalence of Sleep-Disordered Breathing in Adults
inferredcites →https://doi.org/10.1093/biostatistics/kxq028openalex-snapshot
An invitation to reproducible computational research
inferredcites →https://doi.org/10.1093/brain/awh425openalex-snapshot
Atypical sleep architecture and the autism phenotype
inferredcites →https://doi.org/10.1093/sleep/20.11.939openalex-snapshot
Topographical Distribution of Spindles and K-complexes in Normal Subjects
inferredcites →https://doi.org/10.1093/sleep/5.1.47openalex-snapshot
Spindle Evolution in Normal and Mentally Retarded Children: A Review
inferredcites →https://doi.org/10.1109/embc.2012.6346905openalex-snapshot
Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects
inferredcites →https://doi.org/10.1109/iembs.2006.259298openalex-snapshot
Automatic Sleep Spindle Detection in Patients with Sleep Disorders
inferredcites →https://doi.org/10.1111/j.1365-2869.2009.00802.xopenalex-snapshot
Validating an automated sleep spindle detection algorithm using an individualized approach
inferredcites →https://doi.org/10.1111/j.1460-9568.2006.04694.xopenalex-snapshot
Sleep spindle‐related activity in the human EEG and its relation to general cognitive and learning abilities
inferredcites →https://doi.org/10.1111/j.1460-9568.2011.07822.xopenalex-snapshot
Sleep abnormalities in schizophrenia may suggest impaired trans-thalamic cortico-cortical communication: towards a dynamic model of the illness
inferredcites →https://doi.org/10.1111/j.1749-6632.2009.04416.xopenalex-snapshot
The Role of Sleep in Cognition and Emotion
inferredcites →https://doi.org/10.1159/000085205openalex-snapshot
An E-Health Solution for Automatic Sleep Classification according to Rechtschaffen and Kales: Validation Study of the Somnolyzer 24 × 7 Utilizing the Siesta Database
inferredcites →https://doi.org/10.1176/ajp.2007.164.3.483openalex-snapshot
Reduced Sleep Spindle Activity in Schizophrenia Patients
inferredcites →https://doi.org/10.1177/155005949402500108openalex-snapshot
Automatic Sleep-Spindle Detection Procedure: Aspects of Reliability and Validity
inferredcites →https://doi.org/10.1523/jneurosci.22-15-06830.2002openalex-snapshot
Learning-Dependent Increases in Sleep Spindle Density
inferredcites →https://doi.org/10.1523/jneurosci.22-24-10941.2002openalex-snapshot
Grouping of Spindle Activity during Slow Oscillations in Human Non-Rapid Eye Movement Sleep
inferredcites →https://doi.org/10.3389/fneur.2012.00057openalex-snapshot
Hippocampal Sleep Features: Relations to Human Memory Function
inferredcites →https://doi.org/10.5665/sleep.2722openalex-snapshot
Differential Effects on Fast and Slow Spindle Activity, and the Sleep Slow Oscillation in Humans with Carbamazepine and Flunarizine to Antagonize Voltage-Dependent Na+ and Ca2+ Channel Activity
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4872542openalex-extracted
Mff-Rmpad: Multi-Scale Feature Fusion and Residual Mixed Parallel Attention Detector for Multiple Micro-Sleep Events Detection
inferred← citeshttps://doi.org/10.1002/acn3.51840openalex-snapshot
Preliminary evidence of a relationship between sleep spindles and treatment response in epileptic encephalopathy
inferred← citeshttps://doi.org/10.1002/acn3.796openalex-snapshot
Acoustic enhancement of sleep slow oscillations in mild cognitive impairment
inferred← citeshttps://doi.org/10.1002/epi.70130openalex-snapshot
Spindle density relates to cognitive outcomes in infantile epileptic spasms syndrome with unknown etiology: A retrospective cohort study
inferred← citeshttps://doi.org/10.1002/ima.70192openalex-snapshot
A Unified Framework for Reliability Analysis in Neuroimaging With Krippendorff's α
inferred← citeshttps://doi.org/10.1007/978-1-0716-5178-0_11openalex-snapshot
Optogenetic Functional MRI Interrogation of Brain-Wide Neural Oscillations and Behavioral Relevance
inferred← citeshttps://doi.org/10.1007/978-3-030-18305-9_61openalex-snapshot
Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study
inferred← citeshttps://doi.org/10.1007/978-3-030-31635-8_27openalex-snapshot
Improvement of Sleep Spindle Detection by Aggregation Techniques
inferred← citeshttps://doi.org/10.1007/978-3-030-87240-3_53openalex-snapshot
Deep Neural Dynamic Bayesian Networks Applied to EEG Sleep Spindles Modeling
inferred← citeshttps://doi.org/10.1007/978-3-031-69491-2_13openalex-snapshot
Altered Sleep Oscillations as Neurophysiological Biomarkers of Schizophrenia
inferred← citeshttps://doi.org/10.1007/978-3-031-80122-8_5openalex-snapshot
Impact of Data Collection on ML Models: Analyzing Differences of Biases Between Low-Versus High-Skilled Annotators
inferred← citeshttps://doi.org/10.1007/978-3-032-04984-1_46openalex-snapshot
Self-supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making
inferred← citeshttps://doi.org/10.1007/978-3-319-12262-5_47openalex-snapshot
Performance Analysis in a Wavelet-Based Algorithm for Automatic Detection of High-Voltage Spindles in Parkinson’s Disease Rat Models
inferred← citeshttps://doi.org/10.1007/978-981-95-0698-9_23openalex-snapshot
Spindle-UMamba: A Mamba-Based Attention-Unet Framework for Effective Sleep Spindle Detection
inferred← citeshttps://doi.org/10.1007/s00115-022-01340-zopenalex-snapshot
Schlafspindeln – Funktion, Detektion und Nutzung als Biomarker für die psychiatrische Diagnostik
inferred← citeshttps://doi.org/10.1007/s10439-015-1344-1openalex-snapshot
Fusing Continuous-Valued Medical Labels Using a Bayesian Model
inferred← citeshttps://doi.org/10.1007/s10517-022-05557-5openalex-snapshot
Features of the EEG Pattern of Sleep Spindles and Its Diagnostic Significance in Ontogeny
inferred← citeshttps://doi.org/10.1007/s11325-019-02008-wopenalex-snapshot
Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data
inferred← citeshttps://doi.org/10.1007/s11818-015-0696-yopenalex-snapshot
Ergänzende Regeln zu Frequenzen und Graphoelementen der Schlafstadienanalyse
inferred← citeshttps://doi.org/10.1007/s11920-016-0713-2openalex-snapshot
Sleep Spindle Deficit in Schizophrenia: Contextualization of Recent Findings
inferred← citeshttps://doi.org/10.1007/s12021-026-09810-4openalex-snapshot
Meta-Analysis of Face-Validity Indicators in Automatically Detected Dog Sleep Spindles
inferred← citeshttps://doi.org/10.1007/s12652-022-04202-3openalex-snapshot
Investigation of automatic spindle detection in sleep EEG signals contaminated with noise and artifact sources
inferred← citeshttps://doi.org/10.1016/j.apacoust.2021.108286openalex-snapshot
Benchmark characterisation and automated detection of wind farm noise amplitude modulation
inferred← citeshttps://doi.org/10.1016/j.biopsych.2025.06.014openalex-snapshot
Sleep Spindle Abnormalities as Neurophysiological Biomarkers of Schizophrenia Spectrum Disorders: From Cellular Mechanisms and Neural Circuits to Clinical Implications
inferred← citeshttps://doi.org/10.1016/j.bios.2025.117735openalex-snapshot
Breathable soft bioelectronics for enhanced automatic detection of obstructive sleep apnea
inferred← citeshttps://doi.org/10.1016/j.bpsc.2019.04.012openalex-snapshot
Increased Thalamocortical Connectivity in Schizophrenia Correlates With Sleep Spindle Deficits: Evidence for a Common Pathophysiology
inferred← citeshttps://doi.org/10.1016/j.bpsc.2025.08.009openalex-snapshot
Slow Oscillation–Sleep Spindle Coupling Is Associated With Expectancy Measures of Fear Extinction Retention in Trauma-Exposed Individuals
inferred← citeshttps://doi.org/10.1016/j.brainres.2021.147491openalex-snapshot
Targeting neural oscillations with transcranial alternating current stimulation
inferred← citeshttps://doi.org/10.1016/j.bspc.2017.11.019openalex-snapshot
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image
inferred← citeshttps://doi.org/10.1016/j.bspc.2018.10.004openalex-snapshot
Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features
inferred← citeshttps://doi.org/10.1016/j.bspc.2021.103026openalex-snapshot
Automated sleep spindle detection with mixed EEG features
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110333openalex-snapshot
eNeuroLingua: A language–inspired hierarchical framework for multimodal sleep stage classification using EEG and EOG
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110418openalex-snapshot
Individual K-complex localization with multi-scale learning framework in sleep electroencephalography
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.111176openalex-snapshot
SpindleSwin-Net: End-to-end and flexible sleep spindle detection for EEG signals based on wavelet and advanced vision transformer
inferred← citeshttps://doi.org/10.1016/j.chaos.2021.110712openalex-snapshot
A study on decomposing EEGs during sleep into frequency components and revealing spindles using Kalman filter
inferred← citeshttps://doi.org/10.1016/j.chest.2016.04.016openalex-snapshot
Sleep Tracking, Wearable Technology, and Opportunities for Research and Clinical Care
inferred← citeshttps://doi.org/10.1016/j.clinph.2014.10.158openalex-snapshot
Inter-expert and intra-expert reliability in sleep spindle scoring
inferred← citeshttps://doi.org/10.1016/j.clinph.2018.01.006openalex-snapshot
Sleep patterns open the window into disorders of consciousness
inferred← citeshttps://doi.org/10.1016/j.clinph.2021.09.008openalex-snapshot
Hippocampal spindles and barques are normal intracranial electroencephalographic entities
inferred← citeshttps://doi.org/10.1016/j.clinph.2022.01.132openalex-snapshot
Barques are generated in posterior hippocampus and phase reverse over lateral posterior hippocampal surface
inferred← citeshttps://doi.org/10.1016/j.clinph.2024.08.017openalex-snapshot
Infant sleep spindle measures from EEG improve prediction of cerebral palsy
inferred← citeshttps://doi.org/10.1016/j.clinph.2024.11.020openalex-snapshot
Sleep spindle variation in patients with Parkinson’s disease on first nights of sub-optimal deep brain stimulation
inferred← citeshttps://doi.org/10.1016/j.clinph.2025.01.011openalex-snapshot
Fast ripple band high-frequency activity associated with thalamic sleep spindles in pediatric epilepsy
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.105955openalex-snapshot
An energy screening and morphology characterization-based hybrid expert scheme for automatic identification of micro-sleep event K-complex
inferred← citeshttps://doi.org/10.1016/j.cnp.2026.04.005openalex-snapshot
Hippocampal interictal discharges induce frontal spindles and enhance spindle–slow oscillation coupling in temporal lobe epilepsy
inferred← citeshttps://doi.org/10.1016/j.cnp.2026.05.001openalex-snapshot
Exploration of sleep spindles from surgically induced unilaterally deaf adult humans with and without tinnitus
inferred← citeshttps://doi.org/10.1016/j.cobeha.2020.01.009openalex-snapshot
Sleep and intelligence: critical review and future directions
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109477openalex-snapshot
Automatic detection and characterization of maturational neurobiomarkers identified as nested oscillations in premature newborns using high-density electroencephalography
inferred← citeshttps://doi.org/10.1016/j.cortex.2022.10.013openalex-snapshot
Is word learning capacity restored after a daytime nap?
inferred← citeshttps://doi.org/10.1016/j.cub.2016.06.044openalex-snapshot
Feedback-Controlled Transcranial Alternating Current Stimulation Reveals a Functional Role of Sleep Spindles in Motor Memory Consolidation
inferred← citeshttps://doi.org/10.1016/j.euroneuro.2015.06.005openalex-snapshot
Effects of oral temazepam on sleep spindles during non-rapid eye movement sleep: A high-density EEG investigation
inferred← citeshttps://doi.org/10.1016/j.ijpsycho.2022.11.001openalex-snapshot
Analysis of slow and fast sleep spindle properties in Parkinson's disease – A comparative EEG study
inferred← citeshttps://doi.org/10.1016/j.jbi.2017.04.003openalex-snapshot
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2015.01.022openalex-snapshot
Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2015.04.006openalex-snapshot
Detection of K-complexes and sleep spindles (DETOKS) using sparse optimization
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2015.10.010openalex-snapshot
Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2015.11.015openalex-snapshot
Automatic detection of rapid eye movements (REMs): A machine learning approach
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2017.06.004openalex-snapshot
Multichannel sleep spindle detection using sparse low-rank optimization
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2017.12.023openalex-snapshot
A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2018.08.014openalex-snapshot
A sleep spindle detection algorithm that emulates human expert spindle scoring
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2018.11.023openalex-snapshot
Ground truth construction and parameter tuning for the detection of sleep spindle timing in rodents
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2018.12.002openalex-snapshot
Infraslow oscillations in human sleep spindle activity
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2019.01.009openalex-snapshot
Delay differential analysis for dynamical sleep spindle detection
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2019.03.017openalex-snapshot
DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2024.110064openalex-snapshot
A personalized semi-automatic sleep spindle detection (PSASD) framework
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2025.110526openalex-snapshot
A novel adaptive time-window method for detecting slow wave–spindle coupling: Comparison of temporal co-occurrence and phase-amplitude coupling approaches
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2026.110812openalex-snapshot
Improved sleep spindle detection in rats using the BOSC method: A comparison with the traditional automated approach
inferred← citeshttps://doi.org/10.1016/j.jphysparis.2017.02.003openalex-snapshot
Automated detection of high-frequency oscillations in electrophysiological signals: Methodological advances
inferred← citeshttps://doi.org/10.1016/j.jsmc.2024.10.001openalex-snapshot
Artificial Intelligence Can Drive Sleep Medicine
inferred← citeshttps://doi.org/10.1016/j.jtbi.2021.110837openalex-snapshot
Chaos in memory function of sleep: A nonlinear dynamical analysis in thalamocortical study
inferred← citeshttps://doi.org/10.1016/j.media.2025.103556openalex-snapshot
Evaluating medical AI systems in dermatology under uncertain ground truth
inferred← citeshttps://doi.org/10.1016/j.nanoen.2021.106682openalex-snapshot
Skin-inspired wearable self-powered electronic skin with tunable sensitivity for real-time monitoring of sleep quality
inferred← citeshttps://doi.org/10.1016/j.neurobiolaging.2023.01.006openalex-snapshot
The sleep and wake electroencephalogram over the lifespan
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2014.10.048openalex-snapshot
Scalp spindles are associated with widespread intracranial activity with unexpectedly low synchrony
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.12.066openalex-snapshot
Transient synchronization of hippocampo-striato-thalamo-cortical networks during sleep spindle oscillations induces motor memory consolidation
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.04.046openalex-snapshot
Tracking wakefulness as it fades: Micro-measures of alertness
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2019.01.049openalex-snapshot
Modulation of phase-locked neural responses to speech during different arousal states is age-dependent
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2020.116779openalex-snapshot
Multimodal assessment shows misalignment of structural and functional thalamocortical connectivity in children and adolescents born very preterm
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2022.119055openalex-snapshot
Ongoing neural oscillations predict the post-stimulus outcome of closed loop auditory stimulation during slow-wave sleep
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2022.119325openalex-snapshot
Thalamic activity during scalp slow waves in humans
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.120319openalex-snapshot
Multivariate prediction of cognitive performance from the sleep electroencephalogram
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2024.120916openalex-snapshot
Sleep-spindles as a marker of attention and intelligence in dogs
inferred← citeshttps://doi.org/10.1016/j.neuroscience.2018.12.049openalex-snapshot
Thalamo-Cortical White Matter Underlies Motor Memory Consolidation via Modulation of Sleep Spindles in Young and Older Adults
inferred← citeshttps://doi.org/10.1016/j.nicl.2020.102390openalex-snapshot
Inter-channel phase differences during sleep spindles are altered in Veterans with PTSD
inferred← citeshttps://doi.org/10.1016/j.nicl.2023.103552openalex-snapshot
Mapping neurodevelopment with sleep macro- and micro-architecture across multiple pediatric populations
inferred← citeshttps://doi.org/10.1016/j.nlm.2014.06.006openalex-snapshot
Impaired off-line motor skills consolidation in young primary insomniacs
inferred← citeshttps://doi.org/10.1016/j.nlm.2016.06.015openalex-snapshot
Sleep before and after learning promotes the consolidation of both neutral and emotional information regardless of REM presence
inferred← citeshttps://doi.org/10.1016/j.nlm.2020.107206openalex-snapshot
Classical music, educational learning, and slow wave sleep: A targeted memory reactivation experiment
inferred← citeshttps://doi.org/10.1016/j.nlm.2021.107529openalex-snapshot
Stability of neural encoding moderates the contribution of sleep and repeated testing to memory consolidation
inferred← citeshttps://doi.org/10.1016/j.physbeh.2025.115106openalex-snapshot
Impact of obstructive sleep apnea on sleep cycles and spindle dynamics: A polysomnographic study
inferred← citeshttps://doi.org/10.1016/j.psychres.2021.114265openalex-snapshot
Investigating sleep spindle density and schizophrenia: A meta-analysis
inferred← citeshttps://doi.org/10.1016/j.schres.2019.11.002openalex-snapshot
Sleep spindle and slow wave abnormalities in schizophrenia and other psychotic disorders: Recent findings and future directions
inferred← citeshttps://doi.org/10.1016/j.schres.2020.03.025openalex-snapshot
Slow wave oscillations in Schizophrenia First-Degree Relatives: A confirmatory analysis and feasibility study on slow wave traveling
inferred← citeshttps://doi.org/10.1016/j.schres.2020.05.022openalex-snapshot
Sleep disturbances in schizophrenia and psychosis
inferred← citeshttps://doi.org/10.1016/j.schres.2020.08.022openalex-snapshot
Sleep spindle activity in childhood onset schizophrenia: Diminished and associated with clinical symptoms
inferred← citeshttps://doi.org/10.1016/j.schres.2024.10.026openalex-snapshot
Sleep oscillations and their relations with sleep-dependent memory consolidation in early course psychosis and first-degree relatives
inferred← citeshttps://doi.org/10.1016/j.schres.2025.09.029openalex-snapshot
The infraslow fluctuation of sigma power during sleep in young individuals with schizophrenia
inferred← citeshttps://doi.org/10.1016/j.sleep.2017.02.022openalex-snapshot
Sleep spindle density in narcolepsy
inferred← citeshttps://doi.org/10.1016/j.sleep.2017.11.1138openalex-snapshot
Different maturational changes of fast and slow sleep spindles in the first four years of life
inferred← citeshttps://doi.org/10.1016/j.sleep.2020.07.044openalex-snapshot
Sleep spindle abnormalities related to Alzheimer's disease: a systematic mini-review
inferred← citeshttps://doi.org/10.1016/j.sleep.2021.01.035openalex-snapshot
Sleep spindle activity correlates with implicit statistical learning consolidation in untreated obstructive sleep apnea patients
inferred← citeshttps://doi.org/10.1016/j.sleep.2025.107032openalex-snapshot
The Infraslow Fluctuation of Sigma Power During Sleep: Links to Markers of Arousal and Memory Reactivation Across Development
inferred← citeshttps://doi.org/10.1016/j.sleep.2026.109153openalex-snapshot
The effect of sex on sleep neurophysiology in typical and altered neurodevelopment
inferred← citeshttps://doi.org/10.1016/j.smrv.2022.101605openalex-snapshot
A systematic scoping review of the effects of central nervous system active drugs on sleep spindles and sleep-dependent memory consolidation
inferred← citeshttps://doi.org/10.1016/j.smrv.2026.102231openalex-snapshot
Effect of obstructive sleep apnoea treatment on sleep spindles: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1016/j.tics.2024.02.002openalex-snapshot
Coupled sleep rhythms for memory consolidation
inferred← citeshttps://doi.org/10.1016/j.ynstr.2023.100516openalex-snapshot
Sleep spindles, stress and PTSD: The state of the science and future directions
inferred← citeshttps://doi.org/10.1038/ncomms15930openalex-snapshot
Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource
inferred← citeshttps://doi.org/10.1038/s41386-020-00833-2openalex-snapshot
The effects of eszopiclone on sleep spindles and memory consolidation in schizophrenia: a randomized clinical trial
inferred← citeshttps://doi.org/10.1038/s41467-017-01045-xopenalex-snapshot
Low frequency transcranial electrical stimulation does not entrain sleep rhythms measured by human intracranial recordings
inferred← citeshttps://doi.org/10.1038/s41467-020-19076-2openalex-snapshot
A role for spindles in the onset of rapid eye movement sleep
inferred← citeshttps://doi.org/10.1038/s41467-023-37682-8openalex-snapshot
Functional MRI reveals brain-wide actions of thalamically-initiated oscillatory activities on associative memory consolidation
inferred← citeshttps://doi.org/10.1038/s41467-025-67970-4openalex-snapshot
A unified time-frequency foundation model for sleep decoding
inferred← citeshttps://doi.org/10.1038/s41537-026-00735-0openalex-snapshot
Sleep and wake markers of thalamocortical functioning in early-course psychosis and first-degree relatives
inferred← citeshttps://doi.org/10.1038/s41539-025-00383-6openalex-snapshot
Modulating sleep: slow oscillation and spindle stimulation effects on physiology and memory
inferred← citeshttps://doi.org/10.1038/s41597-020-0533-4openalex-snapshot
Massive online data annotation, crowdsourcing to generate high quality sleep spindle annotations from EEG data
inferred← citeshttps://doi.org/10.1038/s41598-017-15195-xopenalex-snapshot
Dynamic coupling between slow waves and sleep spindles during slow wave sleep in humans is modulated by functional pre-sleep activation
inferred← citeshttps://doi.org/10.1038/s41598-018-19880-3openalex-snapshot
The Effect of a Slowly Rocking Bed on Sleep
inferred← citeshttps://doi.org/10.1038/s41598-018-36327-xopenalex-snapshot
Individual spindle detection and analysis in high-density recordings across the night and in thalamic stroke
inferred← citeshttps://doi.org/10.1038/s41598-020-63573-9openalex-snapshot
Possible association between spindle frequency and reversal-learning in aged family dogs
inferred← citeshttps://doi.org/10.1038/s41598-020-80417-8openalex-snapshot
Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
inferred← citeshttps://doi.org/10.1038/s41598-022-11210-yopenalex-snapshot
Advanced sleep spindle identification with neural networks
inferred← citeshttps://doi.org/10.1038/s41598-023-50736-7openalex-snapshot
A robust deep learning detector for sleep spindles and K-complexes: towards population norms
inferred← citeshttps://doi.org/10.1038/s41746-021-00440-5openalex-snapshot
U-Sleep: resilient high-frequency sleep staging
inferred← citeshttps://doi.org/10.1038/s42003-025-08447-4openalex-snapshot
Spatiotemporal dynamics of sleep spindles form spiral waves that predict overnight memory consolidation and age-related memory decline
inferred← citeshttps://doi.org/10.1038/srep43286openalex-snapshot
Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method
inferred← citeshttps://doi.org/10.1073/pnas.2405276121openalex-snapshot
Individualized temporal patterns drive human sleep spindle timing
inferred← citeshttps://doi.org/10.1080/10255842.2026.2724549openalex-snapshot
Real-time sleep spindle detection using adaptive Kalman filtering and innovation variance
inferred← citeshttps://doi.org/10.1080/13632469.2017.1342304openalex-snapshot
Crowdsourcing Model Research for the Identification of Post-Earthquake Rescue Objects
inferred← citeshttps://doi.org/10.1080/17517575.2019.1597385openalex-snapshot
Crowdsourcing-based semantic relation recognition for natural language questions over RDF data
inferred← citeshttps://doi.org/10.1088/1361-6579/ac77d2openalex-snapshot
Association between early stage N2 sleep spindle burst characteristics and vigilance groups: an observational study on patients from a tertiary sleep centre
inferred← citeshttps://doi.org/10.1088/1361-6579/ad66aaopenalex-snapshot
Unveil sleep spindles with concentration of frequency and time (ConceFT)
inferred← citeshttps://doi.org/10.1088/1741-2552/aadc1copenalex-snapshot
Spindler: a framework for parametric analysis and detection of spindles in EEG with application to sleep spindles
inferred← citeshttps://doi.org/10.1088/1741-2552/ab0933openalex-snapshot
A deep learning approach for real-time detection of sleep spindles
inferred← citeshttps://doi.org/10.1088/1741-2552/aba6ddopenalex-snapshot
A knowledge-based approach for automatic quantification of epileptiform activity in children with electrical status epilepticus during sleep
inferred← citeshttps://doi.org/10.1088/1741-2552/abd463openalex-snapshot
A robust two-stage sleep spindle detection approach using single-channel EEG
inferred← citeshttps://doi.org/10.1088/1741-2552/abe8adopenalex-snapshot
Spectral and temporal characterization of sleep spindles—methodological implications
inferred← citeshttps://doi.org/10.1088/1742-6596/1096/1/012082openalex-snapshot
Metric Classification of Traumatic Brain Injury Epileptiform Activity from Electroencephalography Data
inferred← citeshttps://doi.org/10.1088/1742-6596/1748/2/022009openalex-snapshot
A Specific Duration and High-energy Sine Wave Model to Reflect the Awaking and Falling Asleep Moments of Human
inferred← citeshttps://doi.org/10.1093/braincomms/fcab108openalex-snapshot
Role of corpus callosum in sleep spindle synchronization and coupling with slow waves
inferred← citeshttps://doi.org/10.1093/sleep/zsaa058openalex-snapshot
A daytime nap restores hippocampal function and improves declarative learning
inferred← citeshttps://doi.org/10.1093/sleep/zsaa064openalex-snapshot
Increased oscillatory frequency of sleep spindles in combat-exposed veteran men with post-traumatic stress disorder
inferred← citeshttps://doi.org/10.1093/sleep/zsaa084openalex-snapshot
The effect of zolpidem on memory consolidation over a night of sleep
inferred← citeshttps://doi.org/10.1093/sleep/zsaa230openalex-snapshot
Spindles are highly heritable as identified by different spindle detectors
inferred← citeshttps://doi.org/10.1093/sleep/zsab069openalex-snapshot
Sleep-dependent prospective memory consolidation is impaired with aging
inferred← citeshttps://doi.org/10.1093/sleep/zsab099openalex-snapshot
Sleep spindles comprise a subset of a broader class of electroencephalogram events
inferred← citeshttps://doi.org/10.1093/sleep/zsab191openalex-snapshot
Schizophrenia-associated variation at ZNF804A correlates with altered experience-dependent dynamics of sleep slow waves and spindles in healthy young adults
inferred← citeshttps://doi.org/10.1093/sleep/zsac001openalex-snapshot
Optimal spindle detection parameters for predicting cognitive performance
inferred← citeshttps://doi.org/10.1093/sleep/zsac010openalex-snapshot
Dyscoordination of non-rapid eye movement sleep oscillations in autism spectrum disorder
inferred← citeshttps://doi.org/10.1093/sleep/zsac013openalex-snapshot
Improvements in cognitive function and quantitative sleep electroencephalogram in obstructive sleep apnea after six months of continuous positive airway pressure treatment
inferred← citeshttps://doi.org/10.1093/sleep/zsac112openalex-snapshot
Moving towards core sleep outcomes in neurodegenerative disease—the time is now
inferred← citeshttps://doi.org/10.1093/sleep/zsac139openalex-snapshot
Sleep spindle dynamics suggest over-consolidation in post-traumatic stress disorder
inferred← citeshttps://doi.org/10.1093/sleep/zsac223openalex-snapshot
Transient oscillation dynamics during sleep provide a robust basis for electroencephalographic phenotyping and biomarker identification
inferred← citeshttps://doi.org/10.1093/sleep/zsad017openalex-snapshot
Sleep spindles in the healthy brain from birth through 18 years
inferred← citeshttps://doi.org/10.1093/sleep/zsad034openalex-snapshot
Exploiting labels from multiple experts in automated sleep scoring
inferred← citeshttps://doi.org/10.1093/sleep/zsad110openalex-snapshot
Response of sleep slow oscillations to acoustic stimulation is evidenced by distinctive synchronization processes
inferred← citeshttps://doi.org/10.1093/sleep/zsad159openalex-snapshot
Automatic sleep spindles identification and classification with multitapers and convolution
inferred← citeshttps://doi.org/10.1093/sleep/zsad248openalex-snapshot
An approach for determining the reliability of manual and digital scoring of sleep stages
inferred← citeshttps://doi.org/10.1093/sleep/zsae098openalex-snapshot
Effect of daridorexant on sleep architecture in patients with chronic insomnia disorder: a pooled post hoc analysis of two randomized phase 3 clinical studies
inferred← citeshttps://doi.org/10.1093/sleep/zsaf074openalex-snapshot
Mapping the relationships between structural brain MRI characteristics and sleep electroencephalography patterns: the Multi-Ethnic Study of atherosclerosis
inferred← citeshttps://doi.org/10.1093/sleep/zsaf184openalex-snapshot
Association of sleep spindle activity with executive functioning and intellectual ability in children and adolescents
inferred← citeshttps://doi.org/10.1093/sleep/zsaf217openalex-snapshot
In pursuit of the cognitive functions of sleep spindles
inferred← citeshttps://doi.org/10.1093/sleep/zsaf353openalex-snapshot
The Insomnia EEG Score: a new tool for the classification of people with poor sleep
inferred← citeshttps://doi.org/10.1093/sleep/zsaf380openalex-snapshot
Classification and clustering on nocturnal polysomnography: distinctions and overlaps between central disorders of hypersomnolence
inferred← citeshttps://doi.org/10.1093/sleep/zsag010openalex-snapshot
Sound asleep: sensory decoupling during sleep depends on an infant’s sensory profile
inferred← citeshttps://doi.org/10.1093/sleep/zsag141openalex-snapshot
Sleep spindles reveal sexually dimorphic trajectories of long-term bodily pain: a large-scale secondary analysis with implications for clinical biomarker development
inferred← citeshttps://doi.org/10.1093/sleep/zsag149openalex-snapshot
Artificial intelligence for sleep instability and motor phenotyping: clinical translation beyond sleep staging
inferred← citeshttps://doi.org/10.1093/sleep/zsw013openalex-snapshot
Coordination of Slow Waves With Sleep Spindles Predicts Sleep-Dependent Memory Consolidation in Schizophrenia
inferred← citeshttps://doi.org/10.1093/sleep/zsy024openalex-snapshot
Social, motor, and cognitive development through the lens of sleep network dynamics in infants and toddlers between 12 and 30 months of age
inferred← citeshttps://doi.org/10.1093/sleep/zsy077openalex-snapshot
Sleep spindle characteristics and arousability from nighttime transportation noise exposure in healthy young and older individuals
inferred← citeshttps://doi.org/10.1093/sleep/zsy142openalex-snapshot
Beyond spindles: interactions between sleep spindles and boundary frequencies during cued reactivation of motor memory representations
inferred← citeshttps://doi.org/10.1093/sleep/zsy218openalex-snapshot
Validation of an automated sleep spindle detection method for mouse electroencephalography
inferred← citeshttps://doi.org/10.1093/sleep/zsz055openalex-snapshot
Rapid eye movement sleep mediates age-related decline in prospective memory consolidation
inferred← citeshttps://doi.org/10.1093/sleep/zsz315openalex-snapshot
Examining the optimal timing for closed-loop auditory stimulation of slow-wave sleep in young and older adults
inferred← citeshttps://doi.org/10.1093/sleepadvances/zpae090openalex-snapshot
Does fragmented sleep mediate the relationship between deficits in sleep spindles and memory consolidation in schizophrenia?
inferred← citeshttps://doi.org/10.1093/sysbio/syx052openalex-snapshot
Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes
inferred← citeshttps://doi.org/10.1097/wco.0000000000000663openalex-snapshot
Are high-frequency oscillations better biomarkers of the epileptogenic zone than spikes?
inferred← citeshttps://doi.org/10.1101/2021.08.07.455505openalex-snapshot
The looping lullaby: closed-loop neurostimulation decreases sleepers’ sensitivity to environmental noise
inferred← citeshttps://doi.org/10.1101/2022.03.31.486476openalex-snapshot
Normative sleep spindle database and findings from 772 healthy children from birth through 18 years
inferred← citeshttps://doi.org/10.1101/2022.11.21.517377openalex-snapshot
Reducing brain kynurenic acid synthesis precludes kynurenine-induced sleep disturbances
inferred← citeshttps://doi.org/10.1101/2023.06.28.546981openalex-snapshot
Oscillatory-Quality of sleep spindles: from properties to function
inferred← citeshttps://doi.org/10.1101/2024.02.22.581592openalex-snapshot
Individualized temporal patterns dominate cortical upstate and sleep depth in driving human sleep spindle timing
inferred← citeshttps://doi.org/10.1101/2024.11.01.621588openalex-snapshot
The role of REM sleep in neural differentiation of memories in the hippocampus
inferred← citeshttps://doi.org/10.1101/2024.12.26.630252openalex-snapshot
Longer Interstimulus Intervals Enhance Efficacy of Automated Phase-Targeted Auditory Stimulation on Procedural Memory Consolidation
inferred← citeshttps://doi.org/10.1101/2025.04.13.25325346openalex-snapshot
Acceptability, Feasibility, and Day-to-Day Stability of a Portable Sleep Recording Device in Adolescents versus Young Adults
inferred← citeshttps://doi.org/10.1101/2025.04.23.650209openalex-snapshot
The Infraslow Fluctuation of Sigma Power During Sleep in Young Individuals with Schizophrenia
inferred← citeshttps://doi.org/10.1101/2025.09.25.25336636openalex-snapshot
Semantic Segmentation of Sleep Events for High-Resolution Sleep Decoding
inferred← citeshttps://doi.org/10.1101/2025.10.10.681690openalex-snapshot
Using wearable EEG to examine age trends in sleep macro- and micro-architecture across adolescence
inferred← citeshttps://doi.org/10.1101/2025.10.31.25339277openalex-snapshot
Portable Brain Computer Interface Sleep Monitor Compared with Polysomnography in Macroscopic and Microscopic Sleep Structures
inferred← citeshttps://doi.org/10.1101/454488openalex-snapshot
A Human-Machine Coupled System for Efficient Sleep Spindle Detection by Iterative Revision
inferred← citeshttps://doi.org/10.1101/713552openalex-snapshot
Understanding the interplay of sleep and aging: Methodological challenges
inferred← citeshttps://doi.org/10.1109/access.2019.2913457openalex-snapshot
Acoustic Stimulation Following Sleep Spindle Activity May Enhance Procedural Memory Consolidation During a Nap
inferred← citeshttps://doi.org/10.1109/access.2020.3042737openalex-snapshot
Estimation of Time-Varying Spectral Peaks and Decomposition of EEG Spectrograms
inferred← citeshttps://doi.org/10.1109/access.2023.3319597openalex-snapshot
Exploring Stigmergic Collaboration and Task Modularity Through an Expert Crowdsourcing Annotation System: The Case of Storm Phenomena in the Euro-Atlantic Region
inferred← citeshttps://doi.org/10.1109/access.2025.3532536openalex-snapshot
USSD: Unsupervised Sleep Spindle Detector
inferred← citeshttps://doi.org/10.1109/bibm.2018.8621305openalex-snapshot
Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms
inferred← citeshttps://doi.org/10.1109/cbms.2018.00018openalex-snapshot
Machine Learning Applications to Epileptiform Activity Recognition in Rats after Traumatic Brain Injury
inferred← citeshttps://doi.org/10.1109/cme70365.2026.11723473openalex-snapshot
Sleep Slow-Wave–Spindle Coupling for Age-Group Classification
showing the first 200 of 372 · page through all 372
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.