Unified framework for brain connectivity-based biomarkers in neurodegenerative disorders
BackgroundBrain connectivity is useful for deciphering complex brain dynamics controlling interregional communication. Identifying specific brain phenomena based on brain connectivity and quantifying their levels can help explain or diagnose neurodegenerative disorders.ObjectiveThis study aimed to e...
Main Authors: | Sung-Woo Kim, Yeong-Hun Song, Hee Jin Kim, Young Noh, Sang Won Seo, Duk L. Na, Joon-Kyung Seong |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-09-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.975299/full |
Similar Items
-
Harmonization of Multicenter Cortical Thickness Data by Linear Mixed Effect Model
by: SeungWook Kim, et al.
Published: (2022-06-01) -
On the reliability of deep learning-based classification for Alzheimer’s disease: Multi-cohorts, multi-vendors, multi-protocols, and head-to-head validation
by: Yeong-Hun Song, et al.
Published: (2022-09-01) -
Using individualized brain network for analyzing structural covariance of the cerebral cortex in Alzheimer’s patients
by: Hee-Jong Kim, et al.
Published: (2016-09-01) -
Non-monotonic reorganization of brain networks with Alzheimer’s disease progression
by: Hyoungkyu eKim, et al.
Published: (2015-06-01) -
Classification and prediction of cognitive trajectories of cognitively unimpaired individuals
by: Young Ju Kim, et al.
Published: (2023-03-01)