Evidence map›Paper›PMID 31932049›Full record

ArticleNeurobiology of aging2020

Excess brain age in the sleep electroencephalogram predicts reduced life expectancy.

Luis Paixao, Pooja Sikka, Haoqi Sun, Aayushee Jain, Jacob Hogan, Robert Thomas, M Brandon Westover

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05455814 (Brain Health With Inner Engineering- Longitudinal Study of Shambhavi Mahamudra Kriya Meditation), which is not on this map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

NCT05455814 nacompletednot on this mapstarted 2023, after this paper: background citation

Brain Health With Inner Engineering- Longitudinal Study of Shambhavi Mahamudra Kriya Meditation (BLISS)

TypeinterventionalSponsorBeth Israel Deaconess Medical CenterRan2023 to 2025Enrolled77ConditionsMeditation, Brain, AgenesisArmsShambhavi Madamudra Kriya
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Review
  5. [Research progress in electroencephalogram-based brain age prediction].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 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

7 authors at 3 institutions in 1 country.

Luis PaixaoDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Pooja SikkaDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA; Tufts University School of Medicine, Boston, MA, USA.
Haoqi SunDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Aayushee JainDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Jacob HoganDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Robert ThomasDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
M Brandon WestoverDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: mwestover@mgh.harvard.edu.
Massachusetts General Hospital · USBeth Israel Deaconess Medical Center · USTufts University · US

Funding

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
NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS102574NINDS NIH HHS R01 NS107291
6 · The paper itself

Abstract

The brain age index (BAI) measures the difference between an individual's apparent "brain age" (BA; estimated by comparing EEG features during sleep from an individual with age norms), and their chronological age (CA); that is BAI = BA-CA. Here, we evaluate whether BAI predicts life expectancy. Brain age was quantified using a previously published machine learning algorithm for a cohort of participants ≥40 years old who underwent an overnight sleep electroencephalogram (EEG) as part of the Sleep Heart Health Study (n = 4877). Excess brain age (BAI >0) was associated with reduced life expectancy (adjusted hazard ratio: 1.12, [1.03, 1.21], p = 0.002). Life expectancy decreased by -0.81 [-1.44, -0.24] years per standard-deviation increase in BAI. Our findings show that BAI, a sleep EEG-based biomarker of the deviation of sleep microstructure from patterns normal for age, is an independent predictor of life expectancy.

Indexed as

AgingElectroencephalographyLife ExpectancyBiomarkersBrainPredictive Value of TestsSleepBiomarkersBiomarkerBrain ageEEGLife expectancyMortalitySleep

Identifiers

PMID31932049
PMCPMC7085452
OpenAlexW2995583875

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.