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Atieh Schizophrenia EEG, a novel high-quality dataset designed to advance biomarker and machine learning research.

Overview

Authors: Sara Bagherzadeh1, Mohammadreza Norouzi2, Fatemeh Farokhshad1, Pouya Tolou Kouroshi3, Amirhesam Ghasri4, Reza Kazemi5, Reza Rostami6, Ahmad Shalbaf7
ORCID iDs: Ahmad Shalbaf
  1. Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
  2. Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
  3. Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
  4. Department of Biological Sciences, Tarbiat Modares University, Tehran, Iran
  5. Faculty of Entrepreneurship, University of Tehran, Tehran, Iran
  6. Department of Psychology, University of Tehran, Tehran, Iran
  7. Department of Biomedical Engineering and Medical Physics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Institutions: Islamic Azad University, Tehran (Iran); Islamic Azad University, Science and Research Branch (Iran); University of Tehran (Iran); Iran University of Science and Technology (Iran); Tarbiat Modares University (Iran); Shahid Beheshti University (Iran); Shahid Beheshti University of Medical Sciences (Iran)
Journal: Scientific data, volume 13, issue 1, article 1211
Dates: received 25 December 2025; accepted 22 July 2026; published online 31 July 2026
Type: Data paper · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41597-026-07968-9 · PMID 42624860 · PMCID PMC13493780 · OpenAlex W7172018212
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), human (organism), schizophrenia / psychosis (population)
Methods: Statistics
MeSH: Electroencephalography*, Machine Learning*, Schizophrenia*, Adolescent, Adult, Aged, Biomarkers, Female, Humans, Male, Middle Aged, Young Adult (* major topic)
Citations: cited by 1 paper (Europe PMC); 14 references in the paper

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

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Code availability statement

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

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41597-026-07968-9.

Tracing map

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Data

Datasets cited

Data availability statement

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

Read it in the paper: doi.org/10.1038/s41597-026-07968-9.

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, 8 authors, 12 MeSH terms, 11 references.

Cite

This paper

Bagherzadeh, S., Norouzi, M., Farokhshad, F., Tolou Kouroshi, P., Ghasri, A., Kazemi, R., Rostami, R., & Shalbaf, A. (2026). Atieh Schizophrenia EEG, a novel high-quality dataset designed to advance biomarker and machine learning research. Scientific data, 13(1), 1211. https://doi.org/10.1038/s41597-026-07968-9

BibTeX

@article{bagherzadeh2026atieh,
author = {Bagherzadeh, Sara and Norouzi, Mohammadreza and Farokhshad, Fatemeh and Tolou Kouroshi, Pouya and Ghasri, Amirhesam and Kazemi, Reza and Rostami, Reza and Shalbaf, Ahmad},
title = {{Atieh Schizophrenia EEG, a novel high-quality dataset designed to advance biomarker and machine learning research}},
journal = {Scientific data},
year = {2026},
month = jul,
volume = {13},
number = {1},
pages = {1211},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07968-9},
url = {https://doi.org/10.1038/s41597-026-07968-9},
pmid = {42624860},
pmcid = {PMC13493780}
}

RIS

TY - JOUR
AU - Bagherzadeh, Sara
AU - Norouzi, Mohammadreza
AU - Farokhshad, Fatemeh
AU - Tolou Kouroshi, Pouya
AU - Ghasri, Amirhesam
AU - Kazemi, Reza
AU - Rostami, Reza
AU - Shalbaf, Ahmad
TI - Atieh Schizophrenia EEG, a novel high-quality dataset designed to advance biomarker and machine learning research
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/07/31
VL - 13
IS - 1
SP - 1211
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07968-9
UR - https://doi.org/10.1038/s41597-026-07968-9
LA - en
ER -

CSL-JSON

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"language": "en",
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