Evidence map›Paper›PMID 36739622›Full record

ArticleNeurobiology of aging2023

The sleep and wake electroencephalogram over the lifespan.

Haoqi Sun, Elissa Ye, Luis Paixao, Wolfgang Ganglberger, Catherine J Chu, Can Zhang, Jonathan Rosand, Emmanuel Mignot, Sydney S Cash, David Gozal and 2 more

Abstract read
In one paragraph

Article in Neurobiology of aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
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  15. Sleep Across the Lifespan: A Neurobehavioral Perspective.Current sleep medicine reports · 2025
    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

12 authors.

Haoqi SunDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA.
Elissa YeDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Luis PaixaoDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
Wolfgang GanglbergerDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Catherine J ChuDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Can ZhangDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Jonathan RosandDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA.
Emmanuel MignotCenter for Sleep Sciences and Medicine, Stanford University, Stanford, CA USA.
Sydney S CashDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
David GozalDepartment of Child Health, University of Missouri, Columbia, MO, USA.
Robert J ThomasDepartment of Medicine, Division of Pulmonary, Critical Care & Sleep, Beth Israel Deaconess Medical Center, Boston, MA, USA.
M Brandon WestoverDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA. Electronic address: mwestove@bidmc.harvard.edu.

Funding

Data-Driven Sleep Biomarkers of Brain Health, Heart Health, and MortalityR01HL161253 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CLIFFORD, GARI DAVID, MIGNOT, EMMANUEL J · 2022 to 2025
$8.3M
Understanding the Neural Basis of Volitional State through Continuous Recordings in HumansU01NS098968 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2016 to 2018
$4.7M
Neurophysiology of Human Cortical EpilepsyR01NS062092 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2010 to 2021
$4.7M
Integrative Motor Activity Biomarker for the Risk of Alzheimer's RiskRF1AG064312 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2019 to 2019
$3.6M
APP-mediated signaling, sleep perturbations, and Alzheimer's disease mouse modelsRF1AG061824 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI GOZAL, DAVID, PARENT, ANGELE · 2019 to 2019
$3.5M
EVENT RECORDINGS OF HIGH RISK INFANTS ON APNEA MONITORSU10HD029067 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CORWIN, MICHAEL J · 1991 to 2008
$3.5M
HL - Exosomes, Blood, Brain Barrier, and Cognitive Function in Pediatric OSAR01HL130984 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI GOZAL, LEILA KHEIRANDISH · 2016 to 2020
$3.5M
Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest PatientsR01NS102574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GREER, DAVID MATTHEW, WU, ONA · 2018 to 2022
$3.4M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Establishing a Brain Health Index from the Sleep ElectroencephalogramRF1NS120947 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, THOMAS, ROBERT JOSEPH · 2021 to 2021
$2.4M
Seizure focus delineation using spontaneous and stimulus evoked EEG featuresK24NS088568 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2015 to 2019
$923k
NHLBI NIH HHS R01 HL130984NHLBI NIH HHS R01 HL161253NHLBI NIH HHS R56 HL140548NIA NIH HHS RF1 AG061824NIA NIH HHS RF1 AG064312NICHD NIH HHS U10 HD029067NINDS NIH HHS K24 NS088568NINDS NIH HHS R01 NS062092NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS102574NINDS NIH HHS R01 NS107291NINDS NIH HHS RF1 NS120947NINDS NIH HHS U01 NS098968
6 · The paper itself

Abstract

Both sleep and wake encephalograms (EEG) change over the lifespan. While prior studies have characterized age-related changes in the EEG, the datasets span a particular age group, or focused on sleep and wake macrostructure rather than the microstructure. Here, we present sex-stratified data from 3372 community-based or clinic-based otherwise neurologically and psychiatrically healthy participants ranging from 11 days to 80 years of age. We estimate age norms for key sleep and wake EEG parameters including absolute and relative powers in delta, theta, alpha, and sigma bands, as well as sleep spindle density, amplitude, duration, and frequency. To illustrate the potential use of the reference measures developed herein, we compare them to sleep EEG recordings from age-matched participants with Alzheimer's disease, severe sleep apnea, depression, osteoarthritis, and osteoporosis. Although the partially clinical nature of the datasets may bias the findings towards less normal and hence may underestimate pathology in practice, age-based EEG reference values enable objective screening of deviations from healthy aging among individuals with a variety of disorders that affect brain health.

Indexed as

Alzheimer DiseaseSleep Wake DisordersBrainElectroencephalographyHumansLongevitySleepAge normAgingBrain healthElectroencephalogramSleep

Identifiers

PMID36739622
PMCPMC9957961

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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.