Simulating Human Sleep Spindle MEG and EEG from Ion Channel and Circuit Level Dynamics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00497026" target="_blank" >RIV/67985807:_____/19:00497026 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.jneumeth.2018.10.002" target="_blank" >http://dx.doi.org/10.1016/j.jneumeth.2018.10.002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jneumeth.2018.10.002" target="_blank" >10.1016/j.jneumeth.2018.10.002</a>
Alternative languages
Result language
angličtina
Original language name
Simulating Human Sleep Spindle MEG and EEG from Ion Channel and Circuit Level Dynamics
Original language description
BACKGROUND: Although they form a unitary phenomenon, the relationship between extracranial M/EEG and transmembrane ion flows is understood only as a general principle rather than as a well-articulated and quantified causal chain. METHOD: We present an integrated multiscale model, consisting of a neural simulation of thalamus and cortex during stage N2 sleep and a biophysical model projecting cortical current densities to M/EEG fields. Sleep spindles were generated through the interactions of local and distant network connections and intrinsic currents within thalamocortical circuits. 32,652 cortical neurons were mapped onto the cortical surface reconstructed from subjects’ MRI, interconnected based on geodesic distances, and scaled-up to current dipole densities based on laminar recordings in humans. MRIs were used to generate a quasi-static electromagnetic model enabling simulated cortical activity to be projected to the M/EEG sensors. RESULTS: The simulated M/EEG spindles were similar in amplitude and topography to empirical examples in the same subjects. Simulated spindles with more core-dominant activity were more MEG weighted. Comparison with existing methods: Previous models lacked either spindle-generating thalamic neural dynamics or whole head biophysical modeling. The framework presented here is the first to simultaneously capture these disparate scales. CONCLUSIONS: This multiscale model provides a platform for the principled quantitative integration of existing information relevant to the generation of sleep spindles, and allows the implications of future findings to be explored. It provides a proof of principle for a methodological framework allowing large-scale integrative brain oscillations to be understood in terms of their underlying channels and synapses.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Neuroscience Methods
ISSN
0165-0270
e-ISSN
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Volume of the periodical
316
Issue of the periodical within the volume
15 March
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
12
Pages from-to
46-57
UT code for WoS article
000460717600006
EID of the result in the Scopus database
2-s2.0-85055055426