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Record W3097860851 · doi:10.1177/1352458520969099

Exercise and the brain in multiple sclerosis

2020· review· en· W3097860851 on OpenAlexafffund
Brian M. Lozinski, V. Wee Yong

Bibliographic record

VenueMultiple Sclerosis Journal · 2020
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsMultiple sclerosisRemyelinationNeurosciencePhysical medicine and rehabilitationMedicineCognitionNeuroprotectionPsychologyPhysical therapyPsychiatryCentral nervous system

Abstract

fetched live from OpenAlex

While people with multiple sclerosis (PwMS) historically were advised to avoid physical activity to reduce symptoms such as fatigue, they are now encouraged to remain active and to enlist in programs of exercise. However, despite an extensive current literature that exercise not only increases physical well-being but also their cognition and mental health, many PwMS are not meeting recommended levels of exercise. Here, we emphasize the impact and mechanisms of exercise on functional and structural changes to the brain, including improved connectome, neuroprotection, neurogenesis, oligodendrogenesis, and remyelination. We review evidence from animal models of multiple sclerosis (MS) that exercise protects and repairs the brain, and provide supportive data from clinical studies of PwMS. We introduce the concept of MedXercise, where exercise provides a brain milieu particularly conducive for a brain regenerative medication to act upon. The emphasis on exercise improving brain functions and repair should incentivize PwMS to remain physically active.

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)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.005
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 head0.227
GPT teacher head0.346
Teacher spread0.120 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations39
Published2020
Admission routes2
Has abstractyes

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