Work

Interpretable feature-transformer framework for cross-subject MCI detection using nonlinear dynamical and graph-theoretic EEG features

Year: 2026

Type: article

Source: Cognitive Neurodynamics

DOI: 10.1007/s11571-026-10458-8

Authors: Hadi Azizpour Lindi, Reza Shalbaf, Ahmad Shalbaf, Mohsen Sadatshahabi, Peyman Abharian

Institutions: Institute for Cognitive Science Studies, Shahid Beheshti University of Medical Sciences

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Awards: G9000159546, G9000348259

OpenAlex ID: W7167666772

FWCI: 4.212

Cites: 58

Cited by: 1

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