The use of the osteopathic correction for the combined treatment and rehabilitation of the patients presenting with the vertebral artery syndrome

Белаш, В. О.; Мохов, Д. Е.; Трегубова, Е. С.

doi:10.17116/kurort20189506134

Cited by 26 publications

(2 citation statements)

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“…Event-related synchronous (ERS) / desynchronized (ERD) phenomenon is an electrophysiological phenomenon that can be used as a feature of motor imagination EEG signals. The specific manifestation of ERD phenomenon is as follows: when the unilateral limb is imagined or the real movement occurs, the somatic motor area and somatosensory area of the contralateral cerebral cortex will be activated, and the increase of blood flow and the acceleration of metabolism in this area will occur the decrease of α wave frequency and amplitude (α wave blocking phenomenon) (Belash et al, 2018). Correspondingly, the ERS phenomenon is shown as follows: because the somatic motor area and somatosensory area of the ipsilateral cerebral cortex are not activated, the frequency and amplitude of α wave will increase (Maceira-Elvira et al, 2019).…”

Section: Motion-dependent Synchronization Phenomenonmentioning

confidence: 99%

Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain–Computer Interface Technology

Wang

Yan

et al. 2020

Front. Neurosci.

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In recent years, brain-computer interface (BCI) is expected to solve the physiological and psychological needs of patients with motor dysfunction with great individual differences. However, the classification method based on feature extraction requires a lot of prior knowledge when extracting data features and lacks a good measurement standard, which makes the development of BCI. In particular, the development of a multiclassification brain-computer interface is facing a bottleneck. To avoid the blindness and complexity of electroencephalogram (EEG) feature extraction, the deep learning method is applied to the automatic feature extraction of EEG signals. It is necessary to design a classification model with strong robustness and high accuracy for EEG signals. Based on the research and implementation of a BCI system based on a convolutional neural network, this article aims to design a brain-computer interface system that can automatically extract features of EEG signals and classify EEG signals accurately. It can avoid the blindness and time-consuming problems caused by the machine learning method based on feature extraction of EEG data due to the lack of a large amount of prior knowledge.

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Section: Motion-dependent Synchronization Phenomenonmentioning

confidence: 99%

Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain–Computer Interface Technology

Wang

Yan

et al. 2020

Front. Neurosci.

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“…Other structures it supplies include the trigeminal ganglion, the facial nerve, and the tensor tympani muscle (3,4). In rare instances, the MMA may arise from the basilary artery instead, which would normally originate from the confluence of two vertebral arteries, giving rise to the posterior component of the circle of Willis (the posterior cerebellar arteries, the pontine arteries, the anterior inferior cerebellar arteries, and the superior cerebellar arteries) and supplying the contents of the posterior cranial fossa (5)(6)(7).…”

Section: Introductionmentioning

confidence: 99%

Anomalous branching of the middle meningeal artery from the basilar artery: a systematic review

Salman,

Mallah,

Almadi

et al. 2024

Front. Neurol.

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BackgroundAnomalous origin of the middle meningeal artery (MMA) from the basilar artery is a rare congenital neurological variant that has been detected in both children and adults with diagnoses ranging from intracranial haemorrhage to ependymoma. This review aims to investigate the anatomical course of an anomalous basilar-middle meningeal artery and its clinical presentation.MethodsA systematic search was performed in PubMed using the keywords (middle meningeal artery) and (basilar artery). Ninety-four papers were identified, of which seven were included. One paper was further identified through cross-referencing.ResultsThe average age of presentation was 43 years with a male predominance (7/9). In most cases, the MMA arose between the superior cerebellar artery and the anterior inferior cerebellar artery (8/9) (versus 1 case between the anterior inferior cerebellar artery and the posterior inferior cerebellar artery). The anomaly mostly presented on the left side (6/11), but was bilateral in one case. Most of the cases showed a pontine artery branching from the basilar artery arising 5 mm to 10 mm proximal to the superior cerebellar artery, which would then assume the trajectory of the MMA. In three cases, the vessel increased in calibre near the trigeminal ganglion. Foramen spinosum absence in the anomalous side was noted in 3/6 of the patients.ConclusionTo avoid unexpected complications during neurosurgical and neuroradiointerventional procedures, it is essential to have a clear understanding of the anomalous routes of the MMA. This is especially important when it proves to be the only available route for embolization.

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Osteopathy in the rehabilitation of patients with recurrent musculoskeletal injuries: an experimental study

Sankova,

Nikolenko,

Vovkogon

et al. 2024

Manuelle Medizin

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The use of the osteopathic correction for the combined treatment and rehabilitation of the patients presenting with the vertebral artery syndrome

Cited by 26 publications

References 1 publication

Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain–Computer Interface Technology

Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain–Computer Interface Technology

Anomalous branching of the middle meningeal artery from the basilar artery: a systematic review

Osteopathy in the rehabilitation of patients with recurrent musculoskeletal injuries: an experimental study

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