Interactive Brain Stimulation Neurotherapy Based on BOLD Signal in Stroke Rehabilitation

  • Nadezhda A Khruscheva Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia
  • Mikhail Ye Mel'nikov Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia
  • Dmitriy D Bezmaternykh Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia
  • Andrey A Savelov International Tomography Center Siberian Division of Russian Academy of Sciences, Novosibirsk
  • Konstantin V Kalgin Novosibirsk State University, NGU, Novosibirsk,
  • Yevgeny D Petrovsky International Tomography Center Siberian Division of Russian Academy of Sciences, Novosibirsk
  • Anastasia V Shurunova Novosibirsk State University, NGU, Novosibirsk,
  • Mark B Shtark Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia
  • Estate M Sokhadze Duke University
Keywords: interactive brain stimulation, BOLD, cerebral networks, functional magnetic resonance imaging (fMRI), bimodal fMRI-EEG neurofeedback platform

Abstract

Interactive brain stimulation is a new generation of neurofeedback characterized by a radical change in the targets of cognitive (volitional, adaptive) influence. These targets are represented by specific cerebral structures and neural networks, the reconstruction of which leads to the brain functions’ restoration and behavioral metamorphoses. Functional magnetic resonance imaging (fMRI) in the neurofeedback contour uses a natural intravascular tracer, a blood-oxygenation-level-dependent (BOLD) signal as feedback. The subject included into the "interactive brain contour" learns to modulate and modify his or her own cerebral networks, creating new ones or "awakening" pre-existing ones, in order to improve (or restore) mental, sensory, or motor functions. In this review we focus on interactive brain stimulation based on BOLD signal and its role in the motor rehabilitation of stroke, briefly introducing the basic concepts of the so-called “network vocabulary” and general biophysical basis of the BOLD signal. We also discuss a bimodal fMRI-EEG neurofeedback platform and the prospects of fMRI technology in controlling functional connectivity, a numerical assessment of neuroplasticity.

Author Biographies

Nadezhda A Khruscheva, Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia

Dr Khruscheva is a senior research scientist at the Federal Research Center of Fundamental and Translational Medicine.

Mikhail Ye Mel'nikov, Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia

Dr Mel'nikov is a junior researcher at the Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia. He has multiple publications in this area.

Dmitriy D Bezmaternykh, Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia

Bezmaternich is doctoral student at Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia

Andrey A Savelov, International Tomography Center Siberian Division of Russian Academy of Sciences, Novosibirsk

Andrey Savelov is senior researcher at MRI center of Academy of Sciences in Novosibirsk

Konstantin V Kalgin, Novosibirsk State University, NGU, Novosibirsk,

Dr Kalgin is professor at Novosibirsk University, top 5 university in Russia

Yevgeny D Petrovsky, International Tomography Center Siberian Division of Russian Academy of Sciences, Novosibirsk

Dr Petrovsky is one of the leading MRI specialists, he is senior level research specialist

Anastasia V Shurunova, Novosibirsk State University, NGU, Novosibirsk,

Dr Shurunova is lecturer at Novosibirsk State University

Mark B Shtark, Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia

Dr Shtark is academician, lead research specialist at Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk, Russia. He is one of the most known East European specialists in neurofeedback

Estate M Sokhadze, Duke University

Dr Estate (Tato) Sokhadze is research scientist at Neurology department of Duke University in Durham, NC. He is specialist in neurofeedback, QEEG and neuromodulation. His current interests include treatment of stroke using neuromodulation and neurotherapy methods

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Published
2022-09-29
Section
Review Articles