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Record W7135650144

The effects of repeated rehabilitation “Tune-Ups” on functional recovery after stroke

2008· article· en· W7135650144 on OpenAlexaff
Jared Clarke, Hana Malá, Victoria Windle, Garry A. Chernenko, Dale Corbett

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2008
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRehabilitationStroke (engine)NeuroplasticityStroke recoveryAugmentActivities of daily living
DOInot available

Abstract

fetched live from OpenAlex

Objectives: For the vast majority of stroke survivors, rehabilitation (i.e. physiotherapy and occupational therapy) is the only treatment option available. Following an initial phase of rehabilitation, many patients are sent home and return periodically for brief periods of therapy … often lasting just days. It is unclear what, if any, benefit this periodic return to therapy has for functional recovery, and if the type and intensity of therapy is optimal for maintaining or further enhancing functional gains. While the beneficial effects of early rehabilitation on neuroplasticity and functional recovery have been modeled in experimental stroke using a combination of enriched environment and rehabilitation (Biernaskie & Corbett, 2001), it remains uncertain if a secondary therapeutic intervention, such as a return to enrichment/rehabilitation ("Tune-Up"), can produce beneficial changes in brain plasticity that might further improve functional recovery. The aim of this study is to examine these questions. Methods: Rats (n = 53) were exposed to cerebral ischemia or sham surgery and allowed to recover either in standard housing (i.e. “untreated”) or in a combination of enriched environment and rehabilitative reaching (i.e. “enriched/rehab”). Following 9 weeks of treatment, all animals were placed in standard housing for 5 weeks, after which they received 2 weeks of intensive therapy consisting of enhanced enriched environments and structured sensorimotor/cognitive rehabilitative activities (i.e. “Tune-Up” therapy). This was followed by yet another period of rest and “Tune-Up” therapy. A series of behavioural tests were used throughout the study to assess sensorimotor function and monitor recovery. Golgi-Cox analysis was used to examine dendritic arborization and spine densities at the end of the behavioural experiments. Results: Preliminary analysis showed that while early enriched/rehab therapy significantly improved sensorimotor function in both the beam and staircase tests, Tune-Up therapy appears to have had little effect on the recovery of function. Animals that did not receive early rehabilitation did not improve, and those that did receive early rehabilitation did not show any added benefit from the “Tune-Up” therapy. While preliminary Golgi-Cox analysis does not show any significant effect of either therapeutic paradigm on dendritic arborization, all treatment groups did tend to have more complex basilar and apical branching than ischemic animals that received no treatment. Conclusions: Importantly, the current study has reaffirmed the functional benefits of early rehabilitation using a different model of focal ischemia than previously employed in this laboratory. Results to date suggest that “Tune-Up” therapy provides little or no benefit to ischemic rats that received early rehabilitation or to those rats that received no prior therapy. It remains to be determined whether in the absence of “Tune-Up” therapy

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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 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
Published2008
Admission routes1
Has abstractyes

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