Cargando…
Discovering the neuronal dynamics in major depressive disorder using Hidden Markov Model
INTRODUCTION: Major Depressive Disorder (MDD) is a leading cause of worldwide disability, and standard clinical treatments have limitations due to the absence of neurological evidence. Electroencephalography (EEG) monitoring is an effective method for recording neural activities and can provide elec...
Autores principales: | Jiang, Wenhao, Ding, Shihang, Xu, Cong, Ke, Huihuang, Bo, Hongjian, Zhao, Tiejun, Ma, Lin, Li, Haifeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340116/ https://www.ncbi.nlm.nih.gov/pubmed/37457501 http://dx.doi.org/10.3389/fnhum.2023.1197613 |
Ejemplares similares
-
Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling
por: Quinn, Andrew J., et al.
Publicado: (2018) -
Reconfiguration of Brain Network Dynamics in Autism Spectrum Disorder Based on Hidden Markov Model
por: Lin, Pingting, et al.
Publicado: (2022) -
Discovering and mapping chromatin states using a tree hidden Markov model
por: Biesinger, Jacob, et al.
Publicado: (2013) -
Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models
por: Sourty, Marion, et al.
Publicado: (2016) -
Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes
por: Nakamura, Tomoaki, et al.
Publicado: (2017)