Correlation between Slow Electrical Activity and Brain Neural Networks in Patients with Chronic Cerebral Ischemia

Фокин, В. Ф.; Ponomareva, Natalia; Медведев, Р.Б.; Лагода, О.В.; Tanashyan, M. M.; Konovalov, R. N.; Кротенкова, М. В.

doi:10.1134/s0362119722080011

Cited by 1 publication

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“…Изучение нейрофункциональной активности (НФА), считывание сигналов нервной системы (нейросенсинг), расширение алгоритма ранней диагностики нарушений церебрального кровоснабжения и поражения головного мозга (ГМ) позволяют осуществлять контроль за состоянием здоровья пациентов с профессиональными заболеваниями. Последнее немаловажно при проведении лечебнореабилитационных мероприятий, направленных на продление периода эффективной деятельности работающих, когнитивной самостоятельности [4][5][6].…”

Section: The Relationship Of Electroencephalography (Eeg) and Neuroen...unclassified

The relationship of electroencephalography (EEG) and neuroenergocarting indicators in vibration disease

Shevchenko

Катаманова

Лахман

2022

Med. tr. prom. èkol.

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Introduction. This article presents the results of a study of the relationship of phenomena characterizing the state of regulation of neurophysiological and energy processes in vibration disease (VD). The study aims to identify the relationships characterizing the state of regulation of neurophysiological and energy processes, according to the parameters of EEG and the level of constant potential (LCP) in patients with vibration disease. Materials and methods. We have examined thirty seven patients with VB caused by the combined effects of local and general vibration, thirty healthy men (comparison group). The researchers used electroencephalography and neurogenetic mapping techniques. Results. In the group of patients with VB, the nature of EEG activity was manifested by a change in the topical organization of the main normal EEG rhythms: the alpha rhythm, when compared with the comparison group, is more represented in the parietal leads (alpha rhythm index 30.7(15.8-53.5) and 45.3(34.9-59.5)% at p=0.010, respectively), beta1-rhythm - in a small, approximately the same amount, in all leads (in the right frontal from 3.7(2.8-5.6) and 6(3.8-8.2)% at p=0.020, in the left central leads up to 5.9(4.8-7.7) and 8.3(5.9-12.1)% at p=0.018, respectively). The delta rhythm index prevailed in the right frontal region 57.3(47.1-74.8) and 17(12-19)% at p=0.013, respectively. We have revealed a negative correlation of the delta rhythm index in the left frontal (Fp1), left central (C3), left parietal (P3), left occipital (O3), left temporal (T3) regions and LCP in the central (Cz) (r=-0.34; -0.32; -0.35; -0.39; -0.44; p=0.036; 0.048; 0.033; 0.016; 0.006, respectively). An increase in the theta rhythm index in the anterior frontal left lead (Fp1) can be associated with an increase in SCP in the occipital lobe of the right hemisphere (Pd-Ps, r=0.50; p=0.001). Limitations. Limitations are presented in the form of a small number of individuals in groups, insufficient depth of study of foreign literature materials on the issue under study. Conclusion. Interdependent disorders of neurofunctional activity in VB are: an increase in the theta rhythm index in the frontal, central regions of the left hemisphere with a right-hemisphere increase in neuroenergy exchange in the frontal, temporal, parietal regions; an increase in the delta rhythm index of the rhythm in the left hemisphere with a decrease in the LCP in the central parietal region. The strengthening of interhemispheric interaction with compensatory activation of the subdominant hemisphere is probably associated with the strain of adaptive potential, mechanisms for maintaining homeostasis, allowing to reduce neurological deficit by neuroplasticity.

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Section: The Relationship Of Electroencephalography (Eeg) and Neuroen...unclassified

The relationship of electroencephalography (EEG) and neuroenergocarting indicators in vibration disease

Shevchenko

Катаманова

Лахман

2022

Med. tr. prom. èkol.

View full text Add to dashboard Cite

show abstract

Correlation between Slow Electrical Activity and Brain Neural Networks in Patients with Chronic Cerebral Ischemia

Cited by 1 publication

References 9 publications

The relationship of electroencephalography (EEG) and neuroenergocarting indicators in vibration disease

The relationship of electroencephalography (EEG) and neuroenergocarting indicators in vibration disease

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