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Record W7071144585

The relationship between white matter lesion volume with vascular stiffness, mobility and cognitive performance in older adults with vascular cognitive impairment

2018· other· en· W7071144585 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2018
Typeother
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsHyperintensityStroop effectCognitionEffects of sleep deprivation on cognitive performanceMagnetic resonance imagingAssociation (psychology)Pulse wave velocityBlood pressureCognitive testTrail Making Test
DOInot available

Abstract

fetched live from OpenAlex

Background: Sub-cortical ischemic vascular cognitive impairment (SIVCI) is the most prevalent form of Vascular Cognitive Impairment (VCI). Previous studies have shown that Carotid-Femoral Pulse Wave Velocity (CF-PWV), cognitive function, mobility performance and blood pressure are related to White Matter Lesions (WMLs) volume, but whether these associations exist in those with mild SIVCI is unclear. Thus, in this study of older adults with mild SIVCI, I examined four questions: 1) What is the association between total, deep and periventricular WMLs volume on Magnetic Resonance Imaging (MRI) with CF-PWV? 2) What are the associations between total, deep and periventricular WMLs volume and measures of global cognitive function and executive function? 3) What is the association between total, deep and periventricular WMLs volume with mobility performance? 4) What is the association between total, deep and periventricular WMLs volume with systolic and diastolic blood pressure? Methods: The data of 34 participants diagnosed with mild SIVCI were used for this cross-sectional analysis. Measures of interest included global cognitive function tests, such as Alzheimer’s disease Assessment Scale Cognitive Subscale (ADAS-cog) and Montreal Cognitive Assessment (MoCA). Executive functions were assessed with paper Stroop test, Trails Making Tests (A&B) and animal fluency. Mobility performance was assessed with the Time Up and Go test (TUG) and usual gait speed. CF-PWV was measured using the Complior System (ALAM Medical, France). WMLs volume was quantified for the total, deep and periventricular WMLs with a semi-automated technique. Results: We did not find an association between total or periventricular WMLs volume with CF-PWV, executive function, global cognitive function, mobility performance or blood pressure. Deep WMLs volume was associated with Trails B-A and animal category fluency but not associated with measures of global cognitive function. Deep WMLs volume was significantly associated with diastolic blood pressure. Conclusion: In this exploratory analysis, deep WMLs volume is associated with executive function and diastolic blood pressure. While systolic hypertension has been strongly linked to large vessel stroke events which are commonly complicated by post stroke cognitive impairment and dementia, our findings provide possible mechanistic insight to previous studies that found association between diastolic blood pressure and cognitive decline.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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
Published2018
Admission routes1
Has abstractyes

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