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Record W4307628839 · doi:10.17816/rjpbr108973

Dynamic electric neurostimulation in the cognitive rehabilitation of patients in the early recovery period of ischemic stroke

2022· article· en· W4307628839 on OpenAlexaboutno aff
V.А. Drobyshev, Lubov A. Shpagina, С. Г. Абрамович, A. V. Mashanskaya

Bibliographic record

VenueRussian Journal of Physiotherapy Balneology and Rehabilitation · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationNeurostimulationStroke (engine)MedicinePhysical medicine and rehabilitationMontreal Cognitive AssessmentPhysical therapyCognitionCognitive impairmentInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Post-stroke cognitive impairments negatively affect the results of rehabilitation, worsening the outcomes of motor functions recovery, daily activity, and also increase the likelihood of recurrent stroke and premature death. Therapeutic physical factors contribute to the activation of the body's reserve capabilities and aim at correcting metabolic and vascular disorders, improving the functional status of the nervous system, which allows them to be used in a complex of rehabilitation measures. AIM: to substantiate the use of dynamic electric neurostimulation in the correction of cognitive impairment in patients in the early recovery period of ischemic stroke. MATERIALS AND METHODS: A prospective cohort study of 60 patients in the early recovery period of ischemic stroke, with mild and moderate cognitive impairment, at an average age of 62.44.5 years, divided by random sampling into 3 groups: group 1 (n=25), in addition to the basic rehabilitation complex, which included medication, sessions with a neuropsychologist, massage and physical exercise therapy, received a 15-day course of dynamic electric neurostimulation from the "Neurodance-PCM" device; group 2 (n=20) received the basic rehabilitation complex and procedures from the placebo device similar to procedures on "Neurodance-PCM"; group 3 (n=15) received only the basic rehabilitation treatment. All patients underwent an assessment of cognitive status using the Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB) and the study of psychophysiological status on the psycho-physiological tester "NS-Psychotest", using the following tests: tapping test, the SchultePlatonov tables with red-black cells, test of simple visual-motor reaction, reaction to a moving object test. RESULTS: Over the two-week rehabilitation, it was found that the inclusion of dynamic electrical stimulation, in addition to the standard therapy of cognitive impairment in patients in the early recovery period of ischemic stroke, improves attention, memory, speech fluency, generalization functions, complicated choice reaction, increases the functions of visual attention and the speed of sensorimotor response, which was not noted in the comparison groups. CONCLUSIONS: The inclusion of dynamic electric neurostimulation in the rehabilitation complex of patients in the early recovery period of ischemic stroke with mild and moderate cognitive impairment may affect cognitive functions by stimulating the third block of the brain according to A.R. Luria and improving the neurodynamic support of higher mental functions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.256
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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