Reconfiguration of Brain Network Dynamics in Autism Spectrum Disorder Based on Hidden Markov Model
Autism spectrum disorder (ASD) is a group of complex neurodevelopment disorders characterized by altered brain connectivity. However, the majority of neuroimaging studies for ASD focus on the static pattern of brain function and largely neglect brain activity dynamics, which might provide deeper ins...
Main Authors: | Pingting Lin, Shiyi Zang, Yi Bai, Haixian Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-02-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.774921/full |
Similar Items
-
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models
by: Stephen Adams, et al.
Published: (2016-01-01) -
Visual tracking using interactive factorial hidden Markov models
by: Jin Wook Paeng, et al.
Published: (2021-08-01) -
Some limit properties for a hidden inhomogeneous Markov chain
by: Yun Dong, et al.
Published: (2018-10-01) -
Discovering the neuronal dynamics in major depressive disorder using Hidden Markov Model
by: Wenhao Jiang, et al.
Published: (2023-06-01) -
REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL
by: JI Yun, et al.
Published: (2017-01-01)