Application of Structural and Functional Connectome Mismatch for Classification and Individualized Therapy in Alzheimer Disease
While machine learning approaches to analyzing Alzheimer disease connectome neuroimaging data have been studied, many have limited ability to provide insight in individual patterns of disease and lack the ability to provide actionable information about where in the brain a specific patient's di...
Saved in:
Main Authors: | Huixia Ren (Author), Jin Zhu (Author), Xiaolin Su (Author), Siyan Chen (Author), Silin Zeng (Author), Xiaoyong Lan (Author), Liang-Yu Zou (Author), Michael E. Sughrue (Author), Yi Guo (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2020-11-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Alzheimer's Disease Classification With a Cascade Neural Network
by: Zeng You, et al.
Published: (2020) -
The Connectome and Chemo-Connectome Databases for Mice Brain Connection Analysis
by: Yang Wang, et al.
Published: (2022) -
Gene co-expression changes underlying the functional connectomic alterations in Alzheimer's disease
by: Bing He, et al.
Published: (2022) -
Reliability and Reproducibility in Functional Connectomics
Published: (2019) -
Communication and Wiring in the Cortical Connectome
by: Julian eBudd, et al.
Published: (2012)