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Record W4416128339 · doi:10.1080/08990220.2025.2585799

Approaches to sensory–motor symptoms in neurological diseases

2025· article· en· W4416128339 on OpenAlexaff
Fatih Özden, Mehmet Özkeskin, Miray Başer

Bibliographic record

VenueSomatosensory & Motor Research · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsCanadian Physiotherapy Association
Fundersnot available
KeywordsRehabilitationNeurological rehabilitationSensory systemPresentation (obstetrics)Somatosensory systemNeurological disorder

Abstract

fetched live from OpenAlex

Often, somatosensory and motor symptoms frequently co-occur in individuals with neurological conditions. These two systems exert reciprocal influences on one another; thus, an effective neurological rehabilitation protocol in clinical practice should concurrently address both motor and sensory assessment and training procedures. Although neurological rehabilitation guidelines emphasize the motor and sensory systems, it is valuable to examine contemporary approaches to their assessment and rehabilitation separately and in detail. In this review, we synthesize current neurological rehabilitation strategies for Stroke, Multiple Sclerosis, and Parkinson's Disease. In addition to outlining the clinical presentation of these pathologies, we provide a comprehensive overview of motor and sensory assessment methods as well as current rehabilitation approaches.

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 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)0.002
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 score0.032
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.378
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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