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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Integrating attractor dynamics and connectivity features for EEG-based dementia classification

Sepideh Zolfaghari1, Elnaz Gholizadeh2, Farnaz Garehdaghi3

  • 1Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. sepideh.zolfaghari@tabrizu.ac.ir.

Scientific Reports
|March 2, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Alzheimer’s diseaseAttractor dynamicsElectroencephalographyFrontotemporal dementiaMachine learningPhase-locking value

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