Evidence map›Paper›PMID 40169694›Full record

ArticleScientific data2025

Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants.

Mobina Zibandehpoor, Fatemeh Alizadehziri, Arash Abbasi Larki, Sobhan Teymouri, Mehdi Delrobaei

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mobina ZibandehpoorMechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran.
Fatemeh AlizadehziriMechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran.
Arash Abbasi LarkiMechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran.
Sobhan TeymouriMechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran.
Mehdi DelrobaeiMechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran. delrobaei@kntu.ac.ir.ORCID http://orcid.org/0000-0002-4188-6958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the quest for understanding human executive function, eye movements represent a unique insight into how we process and comprehend our environment. Eye movements reveal patterns in how we focus, navigate, and make decisions across various contexts. The proposed dataset includes electrooculography (EOG) signals from 27 healthy subjects, capturing both vertical and horizontal eye movements. The recorded signals were obtained during the video-watching stage of the Leiden Navigation Test, designed to assess spatial navigation abilities. In addition to other data, the dataset includes scores from the Mini-Mental State Examination and the Wayfinding Questionnaire. The dataset comprises carefully curated components, including relevant information, the Mini-Mental State Examination scores, and the Wayfinding Questionnaire scores, encompassing navigation, orientation, distance estimation, spatial anxiety, as well as raw and processed EOG signals. These assessments contribute more information about the participants' cognitive function and navigational abilities. This dataset can be valuable for researchers investigating spatial navigation abilities through EOG signal analysis.

Indexed as

ElectrooculographyEye MovementsSpatial NavigationAdultFemaleHealthy VolunteersHumansMale

Identifiers

PMID40169694
PMCPMC11961735

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.