Cargando…
Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates
Whole-brain computational modeling based on structural connectivity has shown great promise in successfully simulating fMRI BOLD signals with temporal coactivation patterns that are highly similar to empirical functional connectivity patterns during resting state. Importantly, previous studies have...
Autores principales: | Kaboodvand, Neda, van den Heuvel, Martijn P., Fransson, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779267/ https://www.ncbi.nlm.nih.gov/pubmed/31637340 http://dx.doi.org/10.1162/netn_a_00104 |
Ejemplares similares
-
Macroscopic resting state model predicts theta burst stimulation response: A randomized trial
por: Kaboodvand, Neda, et al.
Publicado: (2023) -
Vulnerability of children and the developing brain to neurotoxic hazards.
por: Weiss, B
Publicado: (2000) -
The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations
por: Perl, Yonatan Sanz, et al.
Publicado: (2023) -
Rich-club neurocircuitry: function, evolution, and vulnerability
por: Griffa, Alessandra, et al.
Publicado: (2018) -
Parkinson's disease is characterized by sub-second resting-state spatio-oscillatory patterns: A contribution from deep convolutional neural network
por: Shabanpour, Mehran, et al.
Publicado: (2022)