Izvestiya VUZ. Applied Nonlinear Dynamics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Izvestiya VUZ. Applied Nonlinear Dynamics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Izvestiya VUZ. Applied Nonlinear Dynamics, 2020, Volume 28, Issue 3, Pages 282–298
DOI: https://doi.org/10.18500/0869-6632-2020-28-3-282-298
(Mi ivp374)
 

This article is cited in 1 scientific paper (total in 1 paper)

NONLINEAR DYNAMICS AND NEUROSCIENCE

Thalamo-cortical dysrhythmia and its diagnostic principles

E. Yu. Sitnikova

Institute for Higher Nervous Activity and Neurophysiology of RAS, Moscow
Abstract: Aim. In the brain of mammals and humans, several widespread neuronal networks are capable of generating spontaneous rhythmic activity. Among them is the thalamo-cortical network, which involves neurons of the thalamus (diencephalon) and in the neocortex and characterized by hierarchical organization. The thalamo-cortical network generates alpha rhythms with a frequency of about 8…14 Hz. Various neurological and psychiatric disorders are known to associate with similar disturbances of thalamo-cortical rhythms, i.e. the thalamo-cortical dysrhythmia. In particular, absence epilepsy, a non-convulsive form of epilepsy caused by disturbances of the thalamo-cortical system. Absence seizures involve brief and sudden lapses of consciousness (i.e., the state of «absence») associated with high-amplitude spike-wave discharges in the encephalogram. The current paper describes morphology of the thalamo-cortical system and diagnostic principles of the thalamo-cortical dysrhythmia. Methods. WAG/Rij rats with genetic predisposition to absence epilepsy were used as a model of the thalamo-cortical dysrhythmia. Electrical brain activity was recorded from the surface of neocortex using implanted electrodes (electrocorticogram, ECoG). Time-frequency analysis of rhythmic activity in ECoG was performed using continuous wavelet transform and the fast Fourier transform. Results. The following hallmarks of the thalamo-cortical dysrhythmia were defined. (1) During the slow-wave sleep, the spectral power in ECoG was shifted from slow to fast frequencies. (2) Short-lasting episodes of 3…12 Hz rhythmic activity with the amplitude maximum in delta (3…4 Hz) and theta (5…9 Hz) ranges were present in the frontal ECoG. (3) The so-called «pro-epileptic» 5…9 Hz oscillations were present in the frontal ECoG. Conclusion. The most pronounced manifestation of the thalamo-cortical dysrhythmia was found in ECoG during the slow-wave sleep. The dysrhythmic mechanism mostly affected short-lasting slow-wave oscillations with a frequency of 3…4 Hz and 5…9 Hz in combination with disturbances of the time-frequency structure of ECoG.
Keywords: thalamo-cortical network, electrocorticography, rhythmic brain activity, animal model, time-frequency analysis.
Funding agency Grant number
Russian Foundation for Basic Research 19-015-00242
Received: 29.10.2019
Bibliographic databases:
Document Type: Article
UDC: 530.182
Language: Russian
Citation: E. Yu. Sitnikova, “Thalamo-cortical dysrhythmia and its diagnostic principles”, Izvestiya VUZ. Applied Nonlinear Dynamics, 28:3 (2020), 282–298
Citation in format AMSBIB
\Bibitem{Sit20}
\by E.~Yu.~Sitnikova
\paper Thalamo-cortical dysrhythmia and its diagnostic principles
\jour Izvestiya VUZ. Applied Nonlinear Dynamics
\yr 2020
\vol 28
\issue 3
\pages 282--298
\mathnet{http://mi.mathnet.ru/ivp374}
\crossref{https://doi.org/10.18500/0869-6632-2020-28-3-282-298}
Linking options:
  • https://www.mathnet.ru/eng/ivp374
  • https://www.mathnet.ru/eng/ivp/v28/i3/p282
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Izvestiya VUZ. Applied Nonlinear Dynamics
    Statistics & downloads:
    Abstract page:248
    Full-text PDF :133
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024