Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization.

Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui

Open access · greenAbstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. 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

0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

Data-driven retrieval of population-level EEG features and their role in neurodegenerative diseases.Brain communications · 2024
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

5 authors at 2 institutions in 1 country.

Yejin KimUniversity of Texas Health Science Center, Houston, Texas, USA.

Xiaoqian JiangUniversity of Texas Health Science Center, Houston, Texas, USA.

Luyao ChenUniversity of Texas Health Science Center, Houston, Texas, USA.

Xiaojin LiCase Western Reserve University, Cleveland, Ohio, USA.

Licong CuiUniversity of Texas Health Science Center, Houston, Texas, USA.

The University of Texas Health Science Center at Houston · USCase Western Reserve University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep change is commonly reported in Alzheimer's disease (AD) patients and their brain wave studies show decrease in dreaming and non-dreaming stages. Although sleep disturbance is generally considered as a consequence of AD, it might also be a risk factor of AD as new biological evidence shows. Leveraging the National Sleep Research Resource (NSRR), we built a unique cohort of 83 cases and 331 controls with clinical variables and electroencephalography (EEG) signals. Supervised tensor factorization method was applied for this temporal dataset to extract discriminative sleep patterns. Among the 30 patterns extracted, we identified 5 significant patterns (4 patterns for AD likely and 1 pattern for normal ones) and their visual patterns provide interesting linkage to sleep with repeated wakefulness, abnormal REM sleep, and insomnia. This study is preliminary but findings are interesting, which is a first step to provide quantifiable evidences to measure sleep as a risk factor of AD.

Indexed as

ElectroencephalographyAgedAged, 80 and overAlzheimer DiseaseBiomarkersBrain WavesCase-Control StudiesDatasets as TopicFemaleHumansMaleMathematical ConceptsPropensity ScoreReference ValuesRisk FactorsSleepBiomarkers

Identifiers

PMID32308848

PMCPMC7153114

OpenAlexW3026225662

What OpenQuestion holds

Textmetadata

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.