Evidence map›Paper›PMID 38606398›Full record

ArticleIEEE open journal of engineering in medicine and biology2024

EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving.

Kuan-Chih Huang, Chun-Ying Tseng, Chin-Teng Lin

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kuan-Chih HuangBrain Science and Technology Center, Department of Electrical and Computer EngineeringNational Yang Ming Chiao Tung University Hsinchu 300 Taiwan.ORCID https://orcid.org/0000-0001-7100-8091
Chun-Ying TsengBrain Science and Technology CenterNational Yang Ming Chiao Tung University Hsinchu 300 Taiwan.ORCID https://orcid.org/0009-0008-8125-995X
Chin-Teng LinAustralian Artificial Intelligence Institute, Faculty of Engineering and ITUniversity of Technology Sydney Sydney NSW 2007 Australia.ORCID https://orcid.org/0000-0001-7100-8091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving at different levels of daily fatigue. This study identified the brain connectivity-behavior relationship among three different daily fatigue levels (low-, median- and high-fatigue) with the EEG data transfer entropy. According to the results, only low- and medium-fatigue groups demonstrated an inverted U-shaped change in connectivity from high performance to poor behavioral performance. In addition, from low- to high-fatigue groups, connectivity magnitude decreased in the frontal region and increased in the occipital region. These study results suggest that brain connectivity and driving behavior would be affected by different levels of daily fatigue.

Indexed as

brain connectivityelectroencephalography (EEG)Fatiguetransfer entropy

Identifiers

PMID38606398
PMCPMC11008798

What OpenQuestion holds

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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.