Abstract:
OBJECTIVE:Rhythmic brain stimulation has emerged as a powerful tool to modulate cognition and to target pathological oscillations related to neurological and psychiatric disorders. However, we lack a systematic understanding of how periodic stimulation interacts with endogenous neural activity as a function of the brain state and target. APPROACH:To address this critical issue, we applied periodic stimulation to a unified biophysical thalamic network model that generates multiple distinct oscillations, and examined thoroughly the impact of rhythmic stimulation on different oscillatory states. MAIN RESULTS:We found that rhythmic perturbation induces four basic response mechanisms: entrainment, acceleration, resonance and suppression. Importantly, the appearance and expression of these mechanisms depend highly on the intrinsic cellular dynamics in each state. Specifically, the low-threshold bursting of thalamocortical cells (TCs) in delta (δ) oscillation renders the network relatively insensitive to entrainment; the high-threshold bursting of TCs in alpha (α) oscillation leads to widespread oscillation suppression while the tonic spiking of TC cells in gamma (γ) oscillation results in prominent entrainment and resonance. In addition, we observed entrainment discontinuity during α oscillation that is mediated by firing pattern switching of high-threshold bursting TC cells. Furthermore, we demonstrate that direct excitatory stimulation of the lateral geniculate nucleus (LGN) entrains thalamic oscillations via an asymmetric Arnold tongue that favors higher frequency entrainment and resonance, while stimulation of the inhibitory circuit, the reticular nucleus, induces much weaker and more symmetric entrainment and resonance. These results support the notion that rhythmic stimulation engages brain oscillations in a state- and target-dependent manner. SIGNIFICANCE:Overall, our study provides, for the first time, insights into how the biophysics of thalamic oscillations guide the emergence of complex, state-dependent mechanisms of target engagement, which can be leveraged for the future rational design of novel therapeutic stimulation modalities.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Li G,Henriquez CS,Fröhlich Fdoi
10.1088/1741-2552/aaeb03subject
Has Abstractpub_date
2019-02-01 00:00:00pages
016013issue
1eissn
1741-2560issn
1741-2552journal_volume
16pub_type
杂志文章abstract:OBJECTIVE:Most recent steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems have used a single frequency for each target, so that a large number of targets require a large number of stimulus frequencies and therefore a wider frequency band. However, human beings show good SSVEP respo...
journal_title:Journal of neural engineering
pub_type: 杂志文章
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doi:10.1088/1741-2552/aaf13f
更新日期:2019-02-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd048
更新日期:2020-12-03 00:00:00
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journal_title:Journal of neural engineering
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更新日期:2017-10-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/6/066008
更新日期:2013-12-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aacbfe
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pub_type: 临床试验,杂志文章
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pub_type: 杂志文章
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更新日期:2014-02-01 00:00:00
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doi:10.1088/1741-2552/aba99e
更新日期:2020-08-25 00:00:00
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doi:10.1088/1741-2560/12/1/016012
更新日期:2015-02-01 00:00:00
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更新日期:2018-06-01 00:00:00
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pub_type: 杂志文章
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