Cargando…
Temporal Stability of the Dynamic Resting-State Functional Brain Network: Current Measures, Clinical Research Progress, and Future Perspectives
Based on functional magnetic resonance imaging and multilayer dynamic network model, the brain network’s quantified temporal stability has shown potential in predicting altered brain functions. This manuscript aims to summarize current knowledge, clinical research progress, and future perspectives o...
Autores principales: | Long, Yicheng, Liu, Xiawei, Liu, Zhening |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046056/ https://www.ncbi.nlm.nih.gov/pubmed/36979239 http://dx.doi.org/10.3390/brainsci13030429 |
Ejemplares similares
-
The landscape of neuroscience research in Africa: current state, progress, and challenges; a perspective
por: Aderinto, Nicholas, et al.
Publicado: (2023) -
Temporal Stability of Dynamic Default Mode Network Connectivity Negatively Correlates with Suicidality in Major Depressive Disorder
por: Ouyang, Xuan, et al.
Publicado: (2022) -
Acute Effect of Betel Quid Chewing on Brain Network Dynamics: A Resting-State Functional Magnetic Resonance Imaging Study
por: Huang, Xiaojun, et al.
Publicado: (2021) -
Current progress, challenges, and future perspectives of language models for protein representation and protein design
por: Huang, Tao, et al.
Publicado: (2023) -
Exome Sequencing: Current and Future Perspectives
por: Warr, Amanda, et al.
Publicado: (2015)