Noninvasive muscle activity imaging using magnetography

Llinás, Rodolfó R.; Ustinin, M.N.; Рыкунов, С.Д.; Walton, Kerry D.; Rabello, Guilherme M.; Garcia, John; Boyko, A.I.; Сычев, В. В.

doi:10.1073/pnas.1913135117

Cited by 16 publications

(21 citation statements)

References 24 publications

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“…Недавно был предложен новый метод анализа многоканальных данных, основанный на преобразовании Фурье и анализе когерентности. Метод был предложен в [30] для изучения различных сложных систем и был применен к исследованию вызванной и спонтанной активности головного мозга в работе [31]. В работах [32,33] , , ; 1, , ; 1, , ; 1, ,…”

Section: анализ данныхunclassified

“…В данной работе метод функциональной томографии сложных систем по многоканальным временным рядам [30][31][32][33] был модифицирован для изучения вызванной активности, после чего был успешно применен к изучению восприятия письменной речи. Найдено что пространственное распределение источников электрической активности различается при различных по смысловой и эмоциональной окраске стимулах.…”

Section: заключениеunclassified

“…Недавно был предложен метод анализа многоканальных данных в пространстве «частота-паттерн» [30]. Метод опирается на детальный спектральный анализ всей активности мозга, как вызванной, так и спонтанной [31].…”

Section: Introductionunclassified

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Study of the Perception of Written Speech Using Functional Tomography Based On Electroencephalography Data

Ustinin¹,

Рыкунов²,

Boyko³

et al. 2021

Math.Biol.Bioinf.

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The spectral and spatial characteristics of the electroencephalograms recorded during the perception of written speech were studied. For the experimental study, four groups were formed, each containing 100 words: words with a positive emotional rating, words with a negative emotional rating, words with concrete meanings, and words with abstract meanings. A separate experiment was conducted for each group with the subjects. Words were represented by white text on a black background, each word was presented for 1000 ms, after the presentation of the stimulus there was a pause of 500 ms. Brain activity was recorded using an electroencephalograph with 19 leads, arranged according to the 10–20 scheme. For detailed quantitative analysis of this activity, method of functional tomography of the brain, based on electroencephalography data, was used. This method is based on the Fourier transform of multichannel encephalographic data and the localization of individual spectral components. The method makes it possible to single out and stably localize in space various spectral features of the brain activity studied in experiments on speech research. The frequency band from 8 to 30 Hz was analyzed; for all spectral components in this band, the inverse problem was solved in the approximation of an equivalent current dipole in a single-layer spherical conductor, without any restrictions on the position of the source. As a result, three-dimensional maps of activity were built - the functional structures of the brain. The presentation of these functional structures on magnetic resonance imaging allows one to study the frequency and spatial characteristics of responses to various speech stimuli.

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Section: анализ данныхunclassified

Section: заключениеunclassified

Section: Introductionunclassified

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Study of the Perception of Written Speech Using Functional Tomography Based On Electroencephalography Data

Ustinin¹,

Рыкунов²,

Boyko³

et al. 2021

Math.Biol.Bioinf.

View full text Add to dashboard Cite

show abstract

“…Было получено, что пространственное распределение источников в полосе частот альфа-ритма хорошо согласуется с общепринятыми представлениями о локализации источников этого явления [10][11][12]. В недавней работе [18] метод был применен к случайным временным рядам, порождаемым мускульной активностью человека и регистрируемым магнитным энцефалографом. Эти ряды были успешно преобразованы в пространственную структуру изучавшихся объектов.…”

Section: Introductionunclassified

“…Эти ряды были успешно преобразованы в пространственную структуру изучавшихся объектов. Отметим, что функции анализа данных в пространстве «частота-паттерн» используются во всех приложениях данного метода и доступны по адресу [19].…”

Section: Introductionunclassified

Reconstruction of the Human Brain Functional Structure Based on the Electroencephalography Data

Ustinin¹,

Рыкунов²,

Boyko³

et al. 2020

Math.Biol.Bioinf.

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New method for the data analysis was proposed, making it possible to transform multichannel time series into the spatial structure of the system under study. The method was successfully used to investigate biological and physical objects based on the magnetic field measurements. In this paper we further develop this method to analyze the data of the experiments where the electric field is measured. The brain activity in the state of subject “eyes closed” was registered by the 19-channel electric encephalograph, using the 10-20 scheme. The electroencephalograms were obtained in resting state and with arbitrary hands motions. Detailed multichannel spectra were obtained by the Fourier transform of the whole time series. All spectral data revealed the broad alpha rhythm peak in the frequency band 9-12 Hz. For all spectral components in this band the inverse problem was solved, and the 3D map of the brain activity was calculated. The inverse problem was solved in elementary current dipole model for one-layer spherical conductor without any restrictions for the source position. The combined analysis of the magnetic resonance image and the brain functional structure leads to the conclusion that this structure generally corresponds to the modern knowledge about the alpha rhythm. The 3D map of the vector field of the dominating directions of the alpha rhythm sources was also generated. The proposed method can be used to study the spatial distribution of the brain activity in any spectral band of the electroencephalography data.

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Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model

Klotz

Gizzi

Röhrle

2022

Biomech Model Mechanobiol

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While electromyography (EMG) and magnetomyography (MMG) are both methods to measure the electrical activity of skeletal muscles, no systematic comparison between both signals exists. Within this work, we propose a novel in silico model for EMG and MMG and test the hypothesis that MMG surpasses EMG in terms of spatial selectivity, i.e. the ability to distinguish spatially shifted sources. The results show that MMG provides a slightly better spatial selectivity than EMG when recorded directly on the muscle surface. However, there is a remarkable difference in spatial selectivity for non-invasive surface measurements. The spatial selectivity of the MMG components aligned with the muscle fibres and normal to the body surface outperforms the spatial selectivity of surface EMG. Particularly, for the MMG’s normal-to-the-surface component the influence of subcutaneous fat is minimal. Further, for the first time, we analyse the contribution of different structural components, i.e. muscle fibres from different motor units and the extracellular space, to the measurable biomagnetic field. Notably, the simulations show that for the normal-to-the-surface MMG component, the contribution from volume currents in the extracellular space and in surrounding inactive tissues, is negligible. Further, our model predicts a surprisingly high contribution of the passive muscle fibres to the observable magnetic field.

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Noninvasive muscle activity imaging using magnetography

Cited by 16 publications

References 24 publications

Study of the Perception of Written Speech Using Functional Tomography Based On Electroencephalography Data

Study of the Perception of Written Speech Using Functional Tomography Based On Electroencephalography Data

Reconstruction of the Human Brain Functional Structure Based on the Electroencephalography Data

Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model

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