Alpha, delta and theta rhythms in a neural net model. Comparison with MEG data

Kotini, A; Anninos, P. A.

doi:10.1016/j.jtbi.2015.10.005

Cited by 8 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application of transcranial magnetic stimulation (TMS) to epileptic patients changes the distribution of the MEG from Poisson to Gauss. This was in accordance with the connectivity of the theoretical neural model [12,19,20].…”

Section: Discussionsupporting

confidence: 90%

“…Therefore, the effects of the inherent noise of isolated neural nets are functionally comparable to the effects of sustained inputs to noiseless nets [18]. In our former work we compared the hypothetical results with the investigational findings using magnetoencephalographic (MEG) measurements in epileptic patients and healthy volunteers [11,12]. The epilepticMEGs have revealed to follow Poisson distributions with high magnetic amplitudes varying with time and repeatable at time intervals with similar characteristics like the limit cycles.…”

Section: Discussionmentioning

confidence: 99%

“…The description of the magnetic field has been described in detail in our previous work [11,12]. In the general case, where the neural net has N chemical markers, it is given by the following equation:…”

Section: Magnetic Fieldmentioning

confidence: 99%

See 2 more Smart Citations

The Significance of Limit Cycles in a Neural Model with Poisson and Gauss Connectivity

Kotini

2016

JApl Theol

View full text Add to dashboard Cite

Isolatedrandomly interconnected nets with chemical markers and noise are investigated, which follow Poisson or Gauss distribution. The obtained results reveal limit cycles. The Poisson limit cycles are primarily large and complex, while the Gauss ones are regularly small.The Poisson limit cycles have various types depending on the shape andtime ofthe transient part, whereas the Gauss ones have the same form, plain, with no particular types of the transient component and are small. The epilepticMEGs follow Poisson distributions with high magnetic amplitudes varying with time and repeatable at time intervals with similar characteristics like the limit cycles. Alternatively the MEGs from healthy subjects have Gauss distributions. The above mentioned differentiations are due to the fact that in Poisson distributed connectivity the activity of the system is organized and synchronized as in epileptic discharges while in Gauss one is random and disordered as in healthy subjects. Limit cycles have been used to form the behavior of many oscillatory systems.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The Significance of Limit Cycles in a Neural Model with Poisson and Gauss Connectivity

Kotini

2016

JApl Theol

View full text Add to dashboard Cite

show abstract

“…Therefore, how to obtain a more accurate response surface model becomes an important problem, this is a hot research topic in many fields, many methods have been proposed and all have been widely used in practice, such as the support vector machine, 13,14 polynomial regression, 15 random forest 16,17 and neural net. 18,19 The cornerstone of all methods is basis data, so how to obtain suitable basis data becomes another important problem. In accident reconstruction, more sample points in the definition domain are preferred.…”

Section: Problem Descriptionmentioning

confidence: 99%

Design of experiment in analyzing uncertainty of simulation results in accident reconstruction

Zou

Hua

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

In order to obtain a more accurate interval of an accident reconstruction result, two modified experiment design methods were proposed. The first is based on the orthogonal design (OD) and it is named as the orthogonal-based design (OBD), while the other is based on the uniform design (UD) and it is named as the multi-response surface-uniform design (MUD). Furthermore, some conclusions are given according to seven numerical cases: results obtained from the Latin hypercube sampling design (LHS) are the worst, while those obtained from the UD are the last but one, and all are worse than the results obtained from the OBD and the MUD. Furthermore, some conclusions about the number of simulation runs of each design of experiment (DOE) can be given: if the second order response surface model is selected, the number of simulation runs of the LHS is the same as the UD, and all are lesser than the number of simulation runs of the OBD and the MUD in most cases. As for the OBD and the MUD, the number of simulation runs of the OBD is lesser than the number of simulation runs of the MUD, but the MUD can be applied more widely than the OBD. Finally, a true vehicle-pedestrian accident case is given, Pc-Crash was used to reconstruct the accident based on all traces provided by the police, and the interval of the impact velocity of the vehicle was calculated using the OBD, results showed that the research is meaningful in practice.

show abstract

“…It is designed to create pT-TMS range modulations of magnetic flux in the alpha frequency range (8-13Hz) of every patient. The pT-TMS device was configured for each individual to produce a square wave (so as to resemble the firing activity of neurons in the brain) [7][8][9][10][11][12] .…”

Section: Introductionmentioning

confidence: 99%

Frequency Analysis for The Effect of Pico Tesla-Transcranial Magnetic Stimulation in Epilepsy Patients Using Magnetoencephalography

Anninos¹

2018

J Rare Dis Res Treat

View full text Add to dashboard Cite

The purpose of this research is to identify any change in the frequencies of 2-7Hz in the brain state of epilepsy patients after pico-Tesla transcranial magnetic stimulation (pT-TMS). It is a noninvasive technique for treating neurological disorders. We used magneto encephalographic (MEG) recordings of 10 epilepsy patients with a whole-head 122 -channel MEG system in a magnetically shielded room of low magnetic noise. The subjects were 5 male and 5 female epilepsy volunteers between 18-42 years of age. Afterwards, external pT-TMS was applied to the above patients. A software program was developed in our lab in order to detect the primary dominant frequency of the power spectra of the MEG obtained from every patient and channel before and after the application of pT-TMS. We found that 7 out of 10 patients (70%) had increased their 2-7Hz frequencies after the application of pT-TMS. We concluded that frequency analysis is a promising means for the assessment of epilepsy disorders.

show abstract

Alpha, delta and theta rhythms in a neural net model. Comparison with MEG data

Cited by 8 publications

References 19 publications

The Significance of Limit Cycles in a Neural Model with Poisson and Gauss Connectivity

The Significance of Limit Cycles in a Neural Model with Poisson and Gauss Connectivity

Design of experiment in analyzing uncertainty of simulation results in accident reconstruction

Frequency Analysis for The Effect of Pico Tesla-Transcranial Magnetic Stimulation in Epilepsy Patients Using Magnetoencephalography

Contact Info

Product

Resources

About