Evidence map›Paper›PMID 30476300›Full record

ArticleSleep2019

Validation of an automated sleep spindle detection method for mouse electroencephalography.

David S Uygun, Fumi Katsuki, Yunren Bolortuya, David D Aguilar, James T McKenna, Stephen Thankachan, Robert W McCarley, Radhika Basheer, Ritchie E Brown, Robert E Strecker and 1 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Sleep, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 67 citations in OpenAlex.

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  5. Photosensitivity of an aging brain.bioRxiv : the preprint server for biology · 2025
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  8. A Role for δ Subunit-Containing GABAThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  9. CB-1 receptor agonist drastically changes oscillatory activity, defining active sleep.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  10. Phasic Dopamine Release in the Nucleus Accumbens Influences REM Sleep Timing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Article
  12. Neuronal PAS domain 1 identifies a major subpopulation of wakefulness-promoting GABAergic neurons in the basal forebrain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

David S UygunDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Fumi KatsukiDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Yunren BolortuyaDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
David D AguilarDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
James T McKennaDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Stephen ThankachanDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Robert W McCarleyDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Radhika BasheerDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Ritchie E BrownDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Robert E StreckerDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
James M McNallyDepartment of Psychiatry, VA Boston Healthcare System and Harvard Medical School, West Roxbury, MA.
Harvard University · US

Funding

Wakefulness and Forebrain Activation by Orexin NeuronsP01HL095491 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI WELLMAN, DAVID ANDREW · 2010 to 2019
$25.1M
TRAINING IN SLEEP, CIRCADIAN &RESPIRATORY NEUROBIOLOGYT32HL007901 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Charles A Czeisler · 1998 to 2026
$18.5M
Stuart T. Hauser Research Training Program in Biological and Social Psychiatry.T32MH016259 · NIMH · JUDGE BAKER CHILDREN'S CENTER · PI Marek Kubicki, Martha E. Shenton · 1985 to 2026
$8.4M
THE SYNAPTIC BASIS OF SLEEP CYCLE CONTROLR01MH039683 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI BROWN, RITCHIE EDWARD · 1985 to 2017
$3.8M
Improving cortical function & cognition in schizophrenia by modulation of mGluR5IK2BX002130 · VA · VA BOSTON HEALTH CARE SYSTEM · PI MCNALLY, JAMES M · 2014 to 2018
–
Sleep loss impairment of arousal and cognition: role of the basal forebrainI01BX002774 · VA · VA BOSTON HEALTH CARE SYSTEM · PI JAMES M MCNALLY · 2016 to 2026
–
Purinergic Mechanisms in Homeostatic Sleep ControlI01BX001404 · VA · VA BOSTON HEALTH CARE SYSTEM · PI BASHEER, RADHIKA · 2012 to 2021
–
Sleep Spindles: Role of Thalamic Reticular Nucleus and Parvalbumin GABA NeuronsI01BX001356 · VA · VA BOSTON HEALTH CARE SYSTEM · PI BROWN, RITCHIE EDWARD · 2012 to 2020
–
NHLBI NIH HHS T32 HL007901NIMH NIH HHS T32 MH016259
6 · The paper itself

Abstract

Study Objectives: Sleep spindles are abnormal in several neuropsychiatric conditions and have been implicated in associated cognitive symptoms. Accordingly, there is growing interest in elucidating the pathophysiology behind spindle abnormalities using rodent models of such disorders. However, whether sleep spindles can reliably be detected in mouse electroencephalography (EEG) is controversial necessitating careful validation of spindle detection and analysis techniques. Methods: Manual spindle detection procedures were developed and optimized to generate an algorithm for automated detection of events from mouse cortical EEG. Accuracy and external validity of this algorithm were then assayed via comparison to sigma band (10-15 Hz) power analysis, a proxy for sleep spindles, and pharmacological manipulations. Results: We found manual spindle identification in raw mouse EEG unreliable, leading to low agreement between human scorers as determined by F1-score (0.26 ± 0.07). Thus, we concluded it is not possible to reliably score mouse spindles manually using unprocessed EEG data. Manual scoring from processed EEG data (filtered, cubed root-mean-squared), enabled reliable detection between human scorers, and between human scorers and algorithm (F1-score > 0.95). Algorithmically detected spindles correlated with changes in sigma-power and were altered by the following conditions: sleep-wake state changes, transitions between NREM and REM sleep, and application of the hypnotic drug zolpidem (10 mg/kg, intraperitoneal). Conclusions: Here we describe and validate an automated paradigm for rapid and reliable detection of spindles from mouse EEG recordings. This technique provides a powerful tool to facilitate investigations of the mechanisms of spindle generation, as well as spindle alterations evident in mouse models of neuropsychiatric disorders.

Indexed as

AlgorithmsAnimalsBiological AssayBrain WavesData CollectionElectroencephalographyFemaleHumansHypnotics and SedativesMaleMiceMice, Inbred C57BLRecordsSleep, REMSleep, Slow-WaveZolpidemHypnotics and SedativesZolpidem

Identifiers

PMID30476300
PMCPMC6611948
OpenAlexW2901928632

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.