Evidence map›Paper›PMID 38894334›Full record

ArticleSensors (Basel, Switzerland)2024

Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEP.

Dohyun Kim, Yuwon Kim, Jinseok Park, Hojin Choi, Hokyoung Ryu, Martin Loeser, Kyoungwon Seo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

7 authors.

Dohyun KimDepartment of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.ORCID 0000-0003-4023-6555
Yuwon KimDepartment of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.ORCID 0000-0002-5946-6249
Jinseok ParkDepartment of Neurology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0001-6581-5831
Hojin ChoiDepartment of Neurology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.
Hokyoung RyuGraduate School of Technology and Innovation Management, Hanyang University, Seoul 04763, Republic of Korea.
Martin LoeserDepartment of Computer Science, Electrical Engineering and Mechatronics, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland.ORCID 0009-0006-7681-5910
Kyoungwon SeoDepartment of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.ORCID 0000-0003-3435-0685

Funding

This study was financially supported by Seoul National University of Science and Technology. This study was financially supported by Seoul National University of Science and Technology.
6 · The paper itself

Abstract

Amnestic mild cognitive impairment (aMCI) is a transitional stage between normal aging and Alzheimer's disease, making early screening imperative for potential intervention and prevention of progression to Alzheimer's disease (AD). Therefore, there is a demand for research to identify effective and easy-to-use tools for aMCI screening. While behavioral tests in virtual reality environments have successfully captured behavioral features related to instrumental activities of daily living for aMCI screening, further investigations are necessary to establish connections between cognitive decline and neurological changes. Utilizing electroencephalography with steady-state visual evoked potentials, this study delved into the correlation between behavioral features recorded during virtual reality tests and neurological features obtained by measuring neural activity in the dorsal stream. As a result, this multimodal approach achieved an impressive screening accuracy of 98.38%.

Indexed as

Cognitive DysfunctionElectroencephalographyEvoked Potentials, VisualVirtual RealityActivities of Daily LivingAgedAlzheimer DiseaseFemaleHumansMaleMiddle AgedNeuropsychological Testsbrain–computer interfacehuman cognitioninstrumental activities of daily livingsteady-state visual evoked potentialsvirtual reality

Identifiers

PMID38894334
PMCPMC11175241

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.