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Memorias de investigación
Artículos en revistas:
Nonlinear analysis of brain activity associated with motor action and motor imaginary in untrained subjects
Año:2018
Áreas de investigación
  • Biología y otras ciencias naturales,
  • Aplicaciones de la fisica a problemas y sistemas biologicos,
  • Metodos de analisis de datos,
  • Neurociencia cognitiva,
  • Procesos motores
Datos
Descripción
Identification of brain activity associated with motor execution and, more importantly, with motor imagery is necessary for the development of brain-computer interfaces. Most of recent studies were performed with trained participants which demonstrated that the motor-related brain activity can be detected from the analysis of multichannel electroencephalograms (EEG). For untrained subjects, this task is less studied, but at the same time much more challenging. This task can be solved using the methods of nonlinear dynamics, allowing to extract specific features of the neuronal network of the brain (e.g., the degree of complexity of EEG signals and degree of interaction between different brain areas). In this work, we analyze the spatio-temporal and time?frequency characteristics of the electrical brain activity, associated with both the motor execution and imagery in a group of untrained subjects, by applying different methods of nonlinear dynamics. At the first stage, we apply multifractal formalism to the analysis of EEG signals to reveal the brain areas which demonstrate the most significant distinctions between real motor actions and imaginary movement. Then, using time?frequency wavelet-based analysis of the EEG activity, we analyze in detail the structure of considered brain areas. As a result, we distinguish characteristic oscillatory patterns which occur in different areas of brain and interact with each other when the motor execution (or imagination) takes place. Finally, we create an algorithm allowing online detection of the observed patterns and experimentally verify its efficiency.
Internacional
Si
JCR del ISI
Si
Título de la revista
Nonlinear Dynamics
ISSN
0924-090X
Factor de impacto JCR
4,339
Información de impacto
Q1
Volumen
91
DOI
10.1007/s11071-018-4047-y
Número de revista
4
Desde la página
2803
Hasta la página
2817
Mes
ABRIL
Ranking
Q1
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Vladimir Maksimenko (Yuri Gagarin State Technical University of Saratov)
  • Autor: Alexey Pavlov (Yuri Gagarin State Technical University of Saratov)
  • Autor: Anastasia Runnova (Yuri Gagarin State Technical University of Saratov)
  • Autor: Vladimir Nedaivozov (Yuri Gagarin State Technical University of Saratov)
  • Autor: Vadim Grubov (Yuri Gagarin State Technical University of Saratov)
  • Autor: Alexey Koronovslii (Saratov State University)
  • Autor: Svetlana Pchelintseva (Yuri Gagarin State Technical University of Saratov)
  • Autor: Elena Pitsik (Yuri Gagarin State Technical University of Saratov)
  • Autor: Alexander Pisarchik (UPM)
  • Autor: Alexander Hramov (Yuri Gagarin State Technical University of Saratov)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnologías para Ciencias de la Salud
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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