Classification of Alzheimer’s Disease Based on Core-Large Scale Brain Network Using Multilayer Extreme Learning Machine
Various studies suggest that the network deficit in default network mode (DMN) is prevalent in Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Besides DMN, some studies reveal that network alteration occurs in salience network motor networks and large scale network. In this study we pe...
Main Authors: | Ramesh Kumar Lama, Ji-In Kim, Goo-Rak Kwon |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/12/1967 |
Similar Items
-
Resting-State Functional Connectivity Difference in Alzheimer’s Disease and Mild Cognitive Impairment Using Threshold-Free Cluster Enhancement
by: Ramesh Kumar Lama, et al.
Published: (2023-09-01) -
Diagnosis of Alzheimer’s Disease Using Brain Network
by: Ramesh Kumar Lama, et al.
Published: (2021-02-01) -
Genetics Information with Functional Brain Networks for Dementia Classification
by: Uttam Khatri, et al.
Published: (2023-03-01) -
Alzheimer’s Disease: Insights from Large-Scale Brain Dynamics Models
by: Lan Yang, et al.
Published: (2023-07-01) -
Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI
by: Uttam Khatri, et al.
Published: (2022-05-01)