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High-frequency EEG synchronization modes as a stable biometric signature in humans.

Overview

Authors: Hadi Vaezi1, Golam-Ali Hossein-Zadeh1
  1. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
Institutions: University of Tehran (Iran)
Journal: iScience, volume 29, issue 6, article 116166
Dates: received 1 August 2025; accepted 13 May 2026; published online 1 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.116166 · PMID 42291239 · PMCID PMC13253187 · OpenAlex W7162995031
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), human (organism)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Physiology & signal measures
Keywords: Computer science, Digital signal processing, Computer simulation
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: University of Tehran
Citations: not cited yet (Europe PMC); 46 references in the paper
Research resources: MATLAB 2017b RRID:SCR_001622, EEGLAB (v2025) RRID:SCR_007292, python RRID:SCR_008394

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

Zenodo 20109171

License: CC-BY-4.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 2 files
Software Heritage: not checked
Found in: “Data and code availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
At the source:

The paper's code and data availability statement is in the Data section.

Tracing map

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What the map holds:

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  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it points to a dataset: physionet.org/content/eegmmidb
  • it points to the authors' code: Zenodo 20109171
  • it says that the data are available on request
  • it says that the code is available on request

Read it in the paper: doi.org/10.1016/j.isci.2026.116166.

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, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 3 keywords, 1 funder, 44 references, 3 RRIDs.

Cite

This paper

Vaezi, H., & Hossein-Zadeh, G.-A. (2026). High-frequency EEG synchronization modes as a stable biometric signature in humans. iScience, 29(6), 116166. https://doi.org/10.1016/j.isci.2026.116166

BibTeX

@article{vaezi2026high,
author = {Vaezi, Hadi and Hossein-Zadeh, Golam-Ali},
title = {{High-frequency EEG synchronization modes as a stable biometric signature in humans}},
journal = {iScience},
year = {2026},
month = jun,
volume = {29},
number = {6},
pages = {116166},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.116166},
url = {https://doi.org/10.1016/j.isci.2026.116166},
pmid = {42291239},
pmcid = {PMC13253187}
}

RIS

TY - JOUR
AU - Vaezi, Hadi
AU - Hossein-Zadeh, Golam-Ali
TI - High-frequency EEG synchronization modes as a stable biometric signature in humans
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/06/01
VL - 29
IS - 6
SP - 116166
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.116166
UR - https://doi.org/10.1016/j.isci.2026.116166
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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