Evidence map›Paper›PMID 41136428›Full record

Trial reportScientific reports2025

Effects of optimal timed automatic awakening from a short daytime nap on cognitive performance, alertness, and fatigue.

Yoko Suzuki, Chihiro Suzuki, Yurina Suzuki, Fusae Kawana, Tomohiro Ohigashi, Kazushi Maruo, Takahiro Watanabe, Takashi Abe

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 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

8 authors.

Yoko Suzuki *Tsukuba Institute for Advanced Research (TIAR), International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-2 Kasuga, Tsukuba, 305- 0821, Ibaraki, Japan.
Chihiro Suzuki *Tsukuba Institute for Advanced Research (TIAR), International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-2 Kasuga, Tsukuba, 305- 0821, Ibaraki, Japan.
Yurina SuzukiTsukuba Institute for Advanced Research (TIAR), International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-2 Kasuga, Tsukuba, 305- 0821, Ibaraki, Japan.
Fusae KawanaTsukuba Institute for Advanced Research (TIAR), International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-2 Kasuga, Tsukuba, 305- 0821, Ibaraki, Japan.
Tomohiro OhigashiTsukuba Clinical Research & Development Organization, University of Tsukuba, Tsukuba, 305-8575, Japan.
Kazushi MaruoInstitute of Medicine, University of Tsukuba, Tsukuba, 305-8575, Japan.
Takahiro WatanabeKYOCERA Corporation, Kyoto, 612-8501, Japan.
Takashi AbeTsukuba Institute for Advanced Research (TIAR), International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, 1-2 Kasuga, Tsukuba, 305- 0821, Ibaraki, Japan. abe.takashi.gp@u.tsukuba.ac.jp.

Funding

Japan Agency for Medical Research and Development JP21zf0127005Japan Society for the Promotion of Science JP22K21351New Energy and Industrial Technology Development Organization 21502147-0
6 · The paper itself

Abstract

Daytime napping improves performance, which is maximized with a post-N2 9-min nap. We evaluated whether a system that enables optimal-time automatic awakening using blood flow parameters could improve performance, sleepiness, and fatigue compared to no-nap. Additionally, we investigated whether its performance was comparable to manual awakening based on polysomnography. Eighty-one healthy adults (33.6 ± 12.8 years) were randomly assigned to automatic- or manual-awakening or rest groups. A task bout comprising a digit-symbol substitution test (DSST), visual detection test, and sleepiness and fatigue questionnaires was performed three times per session before napping and for six sessions after napping. In all post-nap sessions, sleepiness and fatigue in the automatic awakening group decreased, compared to the rest group, and were comparable to those in the manual awakening group. The DSST improved in the sixth post-nap session for the manual awakening group compared to the rest group; no improvement was observed in the automatic awakening group. The system model was refined by adding training data and tested on 50 healthy adults (40.6 ± 13.1 years). The test results revealed that the N2 detection accuracy of the system improved. The optimal automatic awakening system improves subjective sleepiness and fatigue, and further improvements in its accuracy may enhance post-nap performance.

Indexed as

CognitionFatigueSleepWakefulnessAdultFemaleHumansMaleMiddle AgedPolysomnographySleepinessYoung AdultBlood flow meterCognitive performanceFatigueShort napSleep inertiaWearable device

Identifiers

PMID41136428
PMCPMC12552439

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.