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Record W3112127440 · doi:10.1002/alz.047458

Preventing Loss of Independence through Exercise (PLIÉ) improves behavioral outcomes and increases default mode network connectivity in people with mild cognitive impairment

2020· article· en· W3112127440 on OpenAlexaboutno aff
Steven A. Martinez, Deborah E. Barnes, Wolf Mehling, Margaret A. Chesney, Jennifer Ann Lee, Amanda Lee, Linda L. Chao

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDefault mode networkMontreal Cognitive AssessmentMoodCognitionPosterior cingulateQuality of life (healthcare)PsychologyAudiologyFunctional magnetic resonance imagingNeuroimagingDementiaAnterior cingulate cortexPhysical medicine and rehabilitationPhysical therapyMedicineClinical psychologyPsychiatryCognitive impairmentInternal medicineNeuroscience

Abstract

fetched live from OpenAlex

Abstract Background Preventing Loss of Independence through Exercise (PLIÉ) is an integrative group movement program developed to improve quality of life and daily function in people with mild‐to‐moderate dementia. We performed a single‐arm pre‐post pilot trial to examine the impact of PLIÉ in people with mild cognitive impairment (MCI) on behavioral and neuroimaging outcomes. Methods Study participants, recruited from the community, had received MCI diagnoses or reported subjective memory complaints plus Montreal Cognitive Assessment (MoCA) scores ≤ 26. PLIÉ classes were 1‐hour, 2 days/week over 12 weeks with 8‐12 participants per class. Pre‐post outcomes included validated measures of cognitive function, physical performance, self‐rated quality of life, mood, affect, mobility, social isolation, attention regulation, self‐regulation, and well‐being. Neuroimaging measures included structural magnetic resonance images (MRIs) and resting state fMRIs. Participants also completed PLIÉ satisfaction surveys. Standardized effect sizes (ES) were calculated based on pre‐post change divided by the baseline standard deviation, and paired t‐tests were used to compare pre‐post scores. Changes in functional connectivity of the Default Mode Network (DMN) were examined using two nodes, the anterior medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC), as seeds. Results Eighteen participants completed the 12‐week program. Participants were 74.9±9.1 years old (11 men, 7 women) and predominately white. Half were US‐veterans. We observed pre‐post improvement on measures of cognitive function (ES=0.33, p=0.001), physical performance (ES=0.39, p=0.047), social isolation (ES=0.62, p=0.009), and self‐regulation (ES=0.55, p=0.006). Though not statistically significant, most other measures suggested improvement with clinically meaningful effect sizes. Neuroimaging revealed increased functional connectivity between nodes of the DMN, specifically between the hippocampus and the mPFC (p=.03) and between the PCC and bilateral parietal cortex after PLIÉ. Satisfaction ratings among participants were high (mean 3.95±.07; range 1‐4). Conclusion These preliminary findings provide proof‐of‐concept for the PLIÉ intervention in people with MCI and suggest that it may enhance cognitive function, physical performance, mood and well‐being, and increase DMN functional connectivity. Additional studies with a control group are warranted.

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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.030
GPT teacher head0.327
Teacher spread0.298 · 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 designRandomized 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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