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Integrating attractor dynamics and connectivity features for EEG-based dementia classification.

Overview

Authors: Sepideh Zolfaghari1, Elnaz Gholizadeh2, Farnaz Garehdaghi1
  1. Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz,Tabriz, Iran
  2. Faculty of Electrical and Computer Engineering, University of Tabriz,Tabriz, Iran
Institutions: University of Tabriz (Iran)
Journal: Scientific reports, volume 16, issue 1, article 11573
Dates: received 17 October 2025; accepted 23 February 2026; published online 2 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-41745-3 · PMID 41772032 · PMCID PMC13057247 · OpenAlex W7133244519
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), human (organism), Alzheimer's / dementia (population), computational (subfield)
Methods: Spectral & time-frequency, Connectivity, Smoothing, state filtering, decompositions, Machine learning, Statistics, Preprocessing
Keywords: Electroencephalography, Alzheimer’s disease, Frontotemporal dementia, Attractor dynamics, Phase-locking value, Machine learning, Computational biology and bioinformatics, Diseases, Neurology, Neuroscience
MeSH: Alzheimer Disease*, Brain*, Electroencephalography*, Frontotemporal Dementia*, Aged, Female, Humans, Male, Support Vector Machine (* major topic)
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 49 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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Data

Datasets cited

Data availability statement

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Read it in the paper: doi.org/10.1038/s41598-026-41745-3.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 10 keywords, 9 MeSH terms, 43 references.

Cite

This paper

Zolfaghari, S., Gholizadeh, E., & Garehdaghi, F. (2026). Integrating attractor dynamics and connectivity features for EEG-based dementia classification. Scientific reports, 16(1), 11573. https://doi.org/10.1038/s41598-026-41745-3

BibTeX

@article{zolfaghari2026integrating,
author = {Zolfaghari, Sepideh and Gholizadeh, Elnaz and Garehdaghi, Farnaz},
title = {{Integrating attractor dynamics and connectivity features for EEG-based dementia classification}},
journal = {Scientific reports},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {11573},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-41745-3},
url = {https://doi.org/10.1038/s41598-026-41745-3},
pmid = {41772032},
pmcid = {PMC13057247}
}

RIS

TY - JOUR
AU - Zolfaghari, Sepideh
AU - Gholizadeh, Elnaz
AU - Garehdaghi, Farnaz
TI - Integrating attractor dynamics and connectivity features for EEG-based dementia classification
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/03/02
VL - 16
IS - 1
SP - 11573
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-41745-3
UR - https://doi.org/10.1038/s41598-026-41745-3
LA - en
ER -

CSL-JSON

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