Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface.
Overview
Abstract
Gaze control is required for successful brain-computer interface (BCI) operation in different paradigms. It has been shown that the performance of a steady-state visual evoked potential-based BCI is lower in covert attention when the participants attend to the stimuli covertly, without the need to move their eyes. Some studies in the literature have tried to find the brain regions that are affected by covert attention. Moreover, it has been shown that the signal-to-noise (SNR) ratio is smaller in covert attention than in overt attention. Based on the fact that brain oscillations exhibit long-range temporal correlations (LRTCs), which can be measured by the Hurst exponent, and estimated using the detrended fluctuation analysis (DFA), this is the first study focusing on the DFA differences in overt and covert attention in an SSVEP-based BCI experiment. The main hypothesis is that there should be differences between DFA exponents of EEG in overt and covert attention, as there are differences in SNR between these attentional states. Gender differences between overt and covert attention were also evaluated using DFA. The results revealed significant differences in LRTCs depending on the gender and the attentional state. These results could be taken into account for an efficient SSVEP-based BCI design.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data, not to its authors' code: see the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- zenodo:19081765 — at Zenodo; found in “Data Availability”
Data Availability
All data files are available from the Zenodo database (DOI: 10.5281/
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 29 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 1 author, 12 MeSH terms, 2 funders, 37 references.
Cite
This paper
İşcan, Z. (2026). Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface. PloS one, 21(4), e0345793. https://
BibTeX
@article{iscan2026evalua
author = {İşcan, Zafer},
title = {{Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface}},
journal = {PloS one},
year = {2026},
month = apr,
volume = {21},
number = {4},
pages = {e0345793},
publisher = {PLOS},
issn = {1932-6203},
doi = {10.1371/
url = {https://
pmid = {41961787},
pmcid = {PMC13068281}
}
RIS
TY - JOUR
AU - İşcan, Zafer
TI - Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface
T2 - PloS one
J2 - PLoS One
PY - 2026
DA - 2026/
VL - 21
IS - 4
SP - e0345793
SN - 1932-6203
PB - PLOS
DO - 10.1371/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1371/
"type": "article-journal",
"title": "Evaluation of long-range temporal correlations during overt and covert attention in a steady state visual evoked potential based brain-computer interface",
"container-title": "PloS one",
"author": [
{
"family": "İşcan",
"given": "Zafer"
}
],
"container-title-short":
"volume": "21",
"issue": "4",
"page": "e0345793",
"DOI": "10.1371/
"PMID": "41961787",
"PMCID": "PMC13068281",
"ISSN": "1932-6203",
"publisher": "PLOS",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
4,
10
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.3389/fninf.2026.1823408 [code]
- Long-range correlations in alpha-band of electroencephalogram: a nonlinear embedding and detrended fluctuation analysis.Journal: Frontiers in neuroinformaticsIn common: EEG, 5 references
- [2] doi:10.1016/j.ibneur.2026.07.011
- Brain criticality and advanced meditation "cessation" events: An intensively sampled electroencephalography case study.Journal: IBRO neuroscience reportsIn common: EEG, 4 references
- [3] doi:10.1038/s41598-026-42120-y [code]
- Qualitative EEG abnormalities in ASD reflect inhibition-dominated brain dynamics.Journal: Scientific reportsIn common: EEG, 3 references
- [4] doi:10.7717/peerj.21220
- After-effects of parieto-occipital gamma transcranial alternating current stimulation on behavioral performance and neural activity in visuo-spatial attention task.Journal: PeerJIn common: EEG, cognitive, 3 references
- [5] doi:10.1038/s44385-026-00098-2 [code]
- Cross-region neural signal reconstruction to lift electrode placement constraints in SSVEP brain-computer interfaces.Journal: npj biomedical innovationsIn common: EEG, 2 references
- [6] doi:10.1002/hbm.70628 [code]
- EEG Biomarkers for Affective Disorders Diagnosis: An Evaluation and Validation Study.Journal: Human brain mappingIn common: EEG, 2 references
- [7] doi:10.1038/s41467-026-75435-5 [code]
- Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface control.Journal: Nature communicationsIn common: EEG, 2 references
- [8] doi:10.1371/journal.pbio.3003779 [code]
- Past and present goals are represented concurrently during visual search.Journal: PLoS biologyIn common: EEG, cognitive, 1 reference
- [9] doi:10.1007/s00422-026-01049-1 [code]
- A three-component dynamical index of consciousness-related neural organisation.Journal: Biological cyberneticsIn common: EEG, cognitive, 1 reference
- [10] doi:10.1111/desc.70269
- Can You Feel My Pain? Neural-Behavioural Changes in Caregiver-Infant Dyads During Ostracism.Journal: Developmental scienceIn common: EEG, 1 reference
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.