Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach

Baravalle, Román; Guisande, Natalí; Granado, Mauro; Rosso, Osvaldo A.; Montani, Fernando

doi:10.3389/fphy.2019.00115

Cited by 27 publications

(17 citation statements)

References 81 publications

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“…As a result, network constituents identified as most important during the pre-stimulation phase remained unaffected during the stimulation and the post-stimulation phase. As regards most important vertices from the pre-stimulation phase, our findings are in line with previous observations that reported left frontocentral brain regions to be most important with betweenness centrality (van den Heuvel and Sporns, 2013 ; Jin et al, 2014 ; Makarov et al, 2018 ) as well as parieto-occipital brain regions to be most important with eigenvector centrality (Lohmann et al, 2010 ) and closeness centrality (van den Heuvel and Sporns, 2013 ; Baravalle et al, 2019 ) during a so-called resting state condition. Together, these findings corroborate the common perspective of different centrality concepts generally identifying different constituents as most important (Lü et al, 2016 ; Bröhl and Lehnertz, 2019 ).…”

Section: Discussionsupporting

confidence: 92%

Impact of Transcutaneous Auricular Vagus Nerve Stimulation on Large-Scale Functional Brain Networks: From Local to Global

et al. 2021

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Transcutaneous auricular vagus nerve stimulation (taVNS) is a novel non-invasive brain stimulation technique considered as a potential supplementary treatment option for a wide range of diseases. Although first promising findings were obtained so far, the exact mode of action of taVNS is not fully understood yet. We recently developed an examination schedule to probe for immediate taVNS-induced modifications of large-scale epileptic brain networks. With this schedule, we observed short-term taVNS to have a topology-modifying, robustness- and stability-enhancing immediate effect on large-scale functional brain networks from subjects with focal epilepsies. We here expand on this study and investigate the impact of short-term taVNS on various local and global characteristics of large-scale evolving functional brain networks from a group of 30 subjects with and without central nervous system diseases. Our findings point to differential, at first glance counterintuitive, taVNS-mediated alterations of local and global topological network characteristics that result in a reconfiguration of networks and a modification of their stability and robustness properties. We propose a model of a stimulation-related stretching and compression of evolving functional brain networks that may help to better understand the mode of action of taVNS.

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Section: Discussionsupporting

confidence: 92%

Impact of Transcutaneous Auricular Vagus Nerve Stimulation on Large-Scale Functional Brain Networks: From Local to Global

et al. 2021

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“…As a result, network constituents identified as most important during the pre-stimulation phase remained unaffected during the stimulation and the poststimulation phase. As regards most important vertices from the pre-stimulation phase, our findings are in line with previous observations that reported left frontocentral brain regions to be most important with betweenness centrality (van den Heuvel and Sporns, 2013;Jin et al, 2014;Makarov et al, 2018) as well as parieto-occipital brain regions to be most important with eigenvector centrality (Lohmann et al, 2010) and closeness centrality (van den Heuvel and Sporns, 2013; Baravalle et al, 2019) during a so-called resting state condition. Together, these findings corroborate the common perspective of different centrality concepts generally identifying different constituents as most important (Lü et al, 2016;Bröhl and Lehnertz, 2019).…”

Section: Modifications On the Local Network Scalesupporting

confidence: 92%

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“…Studies have shown that STDP can cause neurons to synchronize or desynchronize (Talathi et al, 2008;Popovych and Tass, 2012;Popovych et al, 2013;Borges et al, 2016Borges et al, , 2017Lameu et al, 2018), and the synchronization of neural activity is bound up with brain information processing (Baravalle et al, 2019). According to the encoding scheme in this model, the best decoding case is that the neurons are synchronized with specific phases (see section "Encoding and Decoding").…”

Section: Spike-timing-dependent Plasticitymentioning

confidence: 99%

A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity

Huang

Wei

2021

Front. Comput. Neurosci.

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Working memory is closely involved in various cognitive activities, but its neural mechanism is still under exploration. The mainstream view has long been that persistent activity is the neural basis of working memory, but recent experiments have observed that activity-silent memory can also be correctly recalled. The underlying mechanism of activity-silent memory is considered to be an alternative scheme that rejects the theory of persistent activity. We propose a working memory model based on spike-timing-dependent plasticity (STDP). Different from models based on spike-rate coding, our model adopts temporal patterns of action potentials to represent information, so it can flexibly encode new memory representation. The model can work in both persistent and silent states, i.e., it is compatible with both of these seemingly conflicting neural mechanisms. We conducted a simulation experiment, and the results are similar to the real experimental results, which suggests that our model is plausible in biology.

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Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach

Cited by 27 publications

References 81 publications

Impact of Transcutaneous Auricular Vagus Nerve Stimulation on Large-Scale Functional Brain Networks: From Local to Global

Impact of Transcutaneous Auricular Vagus Nerve Stimulation on Large-Scale Functional Brain Networks: From Local to Global

Data_Sheet_1.pdf

A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity

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