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Published in 2023 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acc2e8
Abstract: Objective. Neural mass model (NMM) has been widely used to investigate the neurophysiological mechanisms of anesthetic drugs induced general anesthesia (GA). However, whether the parameters of NMM could track the effects of anesthesia still unknown.…
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Keywords:
mass model;
neural mass;
sevoflurane ketamine;
propofol sevoflurane ... See more keywords
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Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.l062302
Abstract: Neural mass models is a general name for various models describing the collective dynamics of large neural populations in terms of averaged macroscopic variables. Recently, the so-called next-generation neural mass models have attracted a lot…
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Keywords:
shot noise;
neural mass;
finite size;
mass models ... See more keywords
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Published in 2023 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1010985
Abstract: Neural mass models (NMMs) are important for helping us interpret observations of brain dynamics. They provide a means to understand data in terms of mechanisms such as synaptic interactions between excitatory and inhibitory neuronal populations.…
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Keywords:
nonlinear approach;
global nonlinear;
neural mass;
parameter ... See more keywords
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Published in 2019 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2019.00091
Abstract: Resting-state brain activities have been extensively investigated to understand the macro-scale network architecture of the human brain using non-invasive imaging methods such as fMRI, EEG, and MEG. Previous studies revealed a mechanistic origin of resting-state…
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Keywords:
connectivity;
structural connectivity;
model;
neural mass ... See more keywords