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Classification for Alzheimer's disease and frontotemporal dementia via resting-state electroencephalography-based coherence and convolutional neural network

Crossref DOI link: https://doi.org/10.1007/s11571-025-10232-2

Published Online: 2025-03-04

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jiang, Rundong

Zheng, Xiaowei

Sun, Jiamin

Chen, Lei

Xu, Guanghua

Zhang, Rui
Funding

Funding for this research was provided by:

Innovative Research Group Project of the National Natural Science Foundation of China (62406246)

the Key Industry Innovation Chain (Group) of Shaanxi Province (2019ZDLSF02-09-02)
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Text and Data Mining valid from 2025-03-04

Version of Record valid from 2025-03-04
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Article History

Received: 14 January 2025

Revised: 8 February 2025

Accepted: 12 February 2025

First Online: 4 March 2025

Declarations

:

: The authors declare no competing interests.

: The study was conducted according to the guidelines of the Declaration of Helsinki.

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