Evidence map›Paper›PMID 40070047›Full record

ArticleJournal of sleep research2025

Topological Data Analysis Based Characteristics of Electroencephalogram Signals in Children With Sleep Apnea.

Aarti Sathyanarayana, Shashank Manjunath, Jose A Perea

Abstract read
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Aarti SathyanarayanaBouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA.
Shashank ManjunathKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.ORCID 0000-0003-3962-3689
Jose A PereaKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.

Funding

National Science Foundation DMS-2415445Northeastern University Transforming Interdisciplinary Experiential Research Program
6 · The paper itself

Abstract

This study aims to identify differences in the functional neural connectivity of the brain of paediatric patients with obstructive sleep apnea. Using EEG signals from 3673 paediatric patients, we grouped subjects into OSA or control groups based on sleep oxygen desaturation levels and apnea-hypopnea index (AHI), and applied topological data analysis (TDA) techniques. We evaluated our approach through statistical testing of TDA-based EEG features, which indicate fundamental differences in the functional neural connectivity of subjects with sleep apnea as compared to controls. There were statistically significant differences (

Indexed as

BrainElectroencephalographySleep Apnea, ObstructiveChildChild, PreschoolData AnalysisFemaleHumansMalePolysomnographyelectroencephalogramsleep disordered breathingtopological data analysis

Identifiers

PMID40070047
PMCPMC12592844

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.