Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study.

Journal of medical Internet research·2026

Same author

Quantification of Ventilatory Control in Sleep Apnea: From Physiological Insight to Computable Loop Gain.

Sleep·2026

Same author

Impact of Sleep Quality on Gait Variability: Pilot Cohort Study.

JMIR aging·2026

Same author

Real-world effectiveness and safety of tonic motor activation therapy for refractory restless legs syndrome: 90-day outcomes from the THRIVE prospective observational study.

Sleep·2026

Same author

Video-based detection of Delirium in hospitalized adults.

PLOS digital health·2026

Same author

Delirium and Increased Risk of Developing Dementia: An Emulated Target Trial Analysis.

medRxiv : the preprint server for health sciences·2026

Same journal

A reality check for mHealth sleep apps: bridging the empirical void in digital sleep health.

Sleep·2026

Same journal

Sleep, circadian, and mental health in neurodivergent neurotypes: Lived experience perspective on the research landscape and roadmaps.

Sleep·2026

Same journal

Nighttime light exposure is associated with metabolic dysfunction in schizophrenia: A cross-sectional analysis of the LENS study.

Sleep·2026

Same journal

Sleep Need Outcompetes Preparation: Reframing Sleep Initiation Through Naturalistic Behaviour.

Sleep·2026

Same journal

The Quest for Automated Pediatric Sleep Scoring: Are We There Yet?

Sleep·2026

Same journal

Sex Differences in the Sleep Architecture and Sleep-Disordered Breathing in C57BL/6 J Mice.

Sleep·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 7, 2025

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

Optimal spindle detection parameters for predicting cognitive performance.

Noor Adra^1,2,3, Haoqi Sun^1,2,3,4, Wolfgang Ganglberger^1,2,3

¹Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.

|January 5, 2022

Summary

This summary is machine-generated.

Sleep spindles show promise as biomarkers for fluid cognition. Optimizing detection parameters enhances their predictive power, particularly fast spindle features, aiding in understanding cognitive function.

Keywords:

EEG cognition sleep sleep spindle

More Related Videos

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Related Experiment Videos

Last Updated: Oct 7, 2025

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

Neuroscience
Sleep Science
Cognitive Science

Background:

Alterations in sleep spindles are linked to cognitive impairment.
Sleep spindles are increasingly recognized as potential biomarkers for cognition and neurodegeneration.
Methodological challenges exist due to varying definitions and algorithm parameters for sleep spindle detection.

Purpose of the Study:

To investigate how sleep spindle detection parameter settings affect the association between spindle features and cognitive abilities.
To identify specific parameter settings that yield the strongest association between sleep spindles and cognition.

Main Methods:

Adult participants (n=167) underwent polysomnography and completed the NIH Toolbox Cognition Battery.
1000 parameter combinations were explored using the Luna open-source spindle detector.
Linear multiple regression models were used to predict cognitive scores based on spindle features (amplitude, density, duration, peak frequency).

Main Results:

Spindle features significantly predicted fluid cognition scores (raw: r=0.503, age-adjusted: r=0.315) with optimal parameters.
Fast spindle features demonstrated superior predictive performance compared to slow spindle features.
Spindle features showed weak prediction for total cognition and poor prediction for crystallized cognition.

Conclusions:

Optimal parameters for sleep spindle detection in relation to fluid cognition were identified.
Parameter interactions significantly influence both slow and fast spindle associations with cognition.
Sleep spindles are supported as reliable sleep-based biomarkers for fluid cognition.