Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer’s Disease

Published:2020-04-07 Issue: Volume:11 Page:
ISSN:1664-0640
Container-title:Frontiers in Psychiatry
language:
Short-container-title:Front. Psychiatry

Author:

Nobukawa Sou,Yamanishi Teruya,Kasakawa Shinya,Nishimura Haruhiko,Kikuchi Mitsuru,Takahashi Tetsuya

Funder

Japan Society for the Promotion of Science

Publisher

Frontiers Media SA

Subject

Psychiatry and Mental health

Reference78 articles.

1. Neuropsychiatric symptoms and syndromes in a large cohort of newly diagnosed, untreated patients with Alzheimer disease;Spalletta;Am J Geriatr Psychiatry,2010

2. The diagnosis of dementia due to Alzheimer's disease: Recommendations from the national institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease;McKhann;Alzheimers Demen,2011

3. Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the national institute on Aging-Alzheimer's association workgroups on diagnostic guidelines for Alzheimer's disease;Sperling;Alzheimers Demen,2011

4. Neuroimaging markers for the prediction and early diagnosis of Alzheimer's disease dementia;Ewers;Trends Neurosci,2011

5. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease;Sims;Nat Genet,2017

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4. PSD-CNN Approach for Subject Independent Dementia Recognition from EEG Signals;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19

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