An application of the fMRI and simultaneous fMRI-EEG neurofeedback to a post-stroke motor rehabilitation

Безматерных, Д. Д.; Калгин, К. В.; Maximova, P. E.; Мельников, М. Е.; Petrovskiy, E. D.; Predtechenskaya, E. V.; Савелов, А. А.; Semenikhina, A. A.; Tsaplina, T. N.; Штарк, М. Б.; Shurunova, A. V.

doi:10.47056/0365-9615-2021-171-3-364-368

Cited by 5 publications

(3 citation statements)

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“…In the context of the study, perhaps more informative is the concept of improvement, which correlates not only with the category of the goal of the game (learn to reduce heart rate), but also with the category of means (methods, strategies of self-regulation) to achieve the goal. The results of our work [3][4][5] suggest that, using the modern capabilities of fMRI intrascopy, it becomes possible to visualize intracerebral structures that provide a particular strategy of self-regulation, the mechanism of each of which, obviously, is dictated by the psychophysiological features of the phenomenon of self-regulation of functions.…”

Section: American Journal Of Biomedical Science and Researchmentioning

confidence: 89%

Brain Activity During Biofeedback Training and Self-Regulation Mechanisms

2023

AJBSR

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Today, functional magnetic resonance imaging is a technology closely related to the medical science and practice. The continuing process of further development of new ways of its application allows us to gain more and more data. The current paper we devoted to investigation of the specialties of the central organization of the self-regulation processes supported by the heart rate biofeedback with game plot that models a stressful situation as a sport competition, and analysis of the dynamics of the psycho-emotional state of a person in the process of mastering the skills of self-regulation by this training. It was shown that the development of selfregulation skills of psychophysiological functions was accompanied by the activation of sensory and higher integrative structures of the cortex, and the success of correcting excessive stress response depended on joint work with both the cognitive and emotional spheres.

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Section: American Journal Of Biomedical Science and Researchmentioning

confidence: 89%

Brain Activity During Biofeedback Training and Self-Regulation Mechanisms

2023

AJBSR

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“…In addition, synchronous EEG-fMRI imaging makes neurofeedback more effective for stroke rehabilitation [114]. Bimodal EEG-fMRI neurofeedback can provide the patient with more information to help him achieve faster and more specific self-regulation [115]. Off-line fMRI analysis revealed that motor activations were stronger under EEG-fMRI neurofeedback than that under single-mode neurofeedback [115], [116].…”

Section: E Multimodal Methodsmentioning

confidence: 99%

“…Bimodal EEG-fMRI neurofeedback can provide the patient with more information to help him achieve faster and more specific self-regulation [115]. Off-line fMRI analysis revealed that motor activations were stronger under EEG-fMRI neurofeedback than that under single-mode neurofeedback [115], [116]. It is worth emphasizing that EEG-fMRI neurofeedback has the potential to induce an augmented activation of ipsilesional motor areas [117].…”

Section: E Multimodal Methodsmentioning

confidence: 99%

Noninvasive Brain Imaging and Stimulation in Post-Stroke Motor Rehabilitation: A Review

Chang

Sheng

Liu

et al. 2023

IEEE Trans. Cogn. Dev. Syst.

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Non-invasive Brain Imaging and Stimulation in Post-stroke Motor Rehabilitation: A Review

Chang¹

2022

Preprint

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<p>Motor dysfunction is the common sequela of stroke, which seriously affects the patients’ daily life. Brain imaging is primarily employed to reconstruct the brain’s structural and functional networks to assess motor function during motor rehabilitation. Non-invasive brain imaging techniques have been widely used due to the non-surgical advantages. Electroencephalography (EEG) and magnetoencephalography (MEG) are measurements of electromagnetic feld changes during brain activity. At the same time, functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS) are measurements of hemodynamic state during brain activity. Brain network consisting of functional connectivity and effective connectivity could be established based on brain imaging. Multimodal imaging can overcome the limitation of single-mode, making the motor function assessment more comprehensive and accurate. Mathematical models are required for studying connectivity and relationships among brain areas. Brain activity can be modulated through brain stimulation to enhance motor rehabilitation based on motor function assessments. Although not yet included in clinical guidelines, transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) have been shown in numerous clinical trials to promote bilateral brain balance. Brain network reorganization guides therapeutic strategies integrating brain stimulations. Although brain imaging and brain stimulation on stroke motor rehabilitation are well-studied forms, a thorough between imagingbased motor assessment and stimulation-based rehabilitation strategy is still lacking. This narrative review aims to summarize the methods of motor function assessment using brain imaging and interventions for motor function rehabilitation using brain stimulation after stroke, which would be helpful to establish a closed-loop rehabilitation approach.<br> </p>

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An application of the fMRI and simultaneous fMRI-EEG neurofeedback to a post-stroke motor rehabilitation

Cited by 5 publications

References 0 publications

Brain Activity During Biofeedback Training and Self-Regulation Mechanisms

Brain Activity During Biofeedback Training and Self-Regulation Mechanisms

Noninvasive Brain Imaging and Stimulation in Post-Stroke Motor Rehabilitation: A Review

Non-invasive Brain Imaging and Stimulation in Post-stroke Motor Rehabilitation: A Review

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