Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View-Reference-Cited by-同舟云学术

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Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View

Published:2020-09-29 Issue: Volume:14 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Xu Xiaowen,Li Weikai,Tao Mengling,Xie Zhongfeng,Gao Xin,Yue Ling,Wang Peijun

Funder

National Natural Science Foundation of China

Shanghai Municipal Health and Family Planning Commission

Fundamental Research Funds for the Central Universities

Shanghai Municipal Commission of Economy and Informatization

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference47 articles.

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2. Alzheimer’s disease.;Blennow;Lancet,2006

3. Lack of clinically relevant correlation between subjective and objective cognitive function in ICU survivors: a prospective 12-month follow-up study.;Bruck;Crit. Care,2019

4. The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline.;Chen;Transl. Neurodegener.,2020

5. Disrupted structural and functional brain networks in Alzheimer’s disease.;Dai;Neurobiol. Aging,2019

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1. Prediction of disease progression in individuals with subjective cognitive decline using brain network analysis;CNS Neuroscience & Therapeutics;2024-07

2. Characteristics of the White Matter Structural Network in Individuals with Subjective Cognitive Decline with and without APOEε4 Based on Graph Theory Study;Journal of Integrative Neuroscience;2024-06-14

3. Brain Topological Changes in Subjective Cognitive Decline and Associations with Amyloid Stages;2024-06-11

4. Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline;Brain Communications;2023-12-28

5. Towards an accurate autism spectrum disorder diagnosis: multiple connectome views from fMRI data;Cerebral Cortex;2023-12-13

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