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Effectiveness of virtual reality technology in the rehabilitation of patients with visuospatial neglect due to cerebral stroke

2025· article· uk· W7117663281 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedicni perspektivi · 2025
Typearticle
Languageuk
FieldNeuroscience
TopicSpatial Neglect and Hemispheric Dysfunction
Canadian institutionsnot available
Fundersnot available
KeywordsVirtual realityRehabilitationNeglectStroke (engine)CognitionCognitive rehabilitation therapyOccupational therapyActivities of daily living

Abstract

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Effectiveness of existing methods of therapy for functional impairment due to upper limb dysfunction in patients with visuospatial neglect (VSN) due to acute cerebral stroke remains uncertain. This requires the search for new methods of occupational therapy interventions, in particular, taking into account the capabilities of virtual reality technologies. The aim of this study was to evaluate the therapeutic effect of virtual reality technology on the state of visuospatial perception, fine and gross motor function of the upper extremities, cognitive functions and limitations activities of daily living in patients with neglect due to cerebral stroke. In the study 47 patients, 10 women and 30 men, aged from 23 to 86 years old (mean age was 63.3 (13.2) years) were included. All patients were assessed for the state of visuospatial perception, cognitive function, motor and sensory functions, and activity limitations at the beginning and at the end of rehabilitation. There were 7 people dropped out of the study based on the results of the application of exclusion criteria. At the first stage during 2023-2024, 18 patients were included in the study and assigned a standardized rehabilitation program. In the second phase, during 2024-2025, 22 patients participated in the study and were assigned an author's occupational therapy program using the Arm-Therapy-System Diego, the effect of which is based on the use of virtual reality technology. All patients were assigned 3 hours of rehabilitation interventions per day for 14 days. The application of the program using virtual reality technology showed 31.3% greater efficiency in restoring the level of cognitive functions according to the Montreal Cognitive Assessment, 68.4% better efficiency in restoring large motor functions according to the "Box and Blocks" test, 40.2% better dynamics according to the sensorimotor state of the upper limb according to the Fugl-Meyer assessment of motor recovery after stroke (p<0.05), 25.0% less manifestations of visuospatial neglect according to the tests of dividing lines in half and drawing stars, which together contributed to a better restoration of the level of independent activity when performing everyday tasks according to the Barthel Index (p<0.05) as compared to standard therapy. The predominant effectiveness of the developed author's program using virtual reality technology in improving fine motor skills of the upper limb according to the Nine-Hole Peg Test (p>0.05) compared to the standard therapy program was not established. Thus, the use of virtual reality technology is promising for restoring the functioning of the upper limb in patients with the consequences of cerebral stroke and impaired visual-spatial perception.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.256
Teacher spread0.250 · 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