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Record W7062654901

White matter microstructural decline and cognitive performance in older adults: the influence of cardiovascualr health

2016· dissertation· en· W7062654901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNOVA (University of Newcastle, Australia) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionWhite matterEffects of sleep deprivation on cognitive performanceCognitive declineNeuropsychologyFractional anisotropyDiffusion MRIExecutive functionsElementary cognitive task
DOInot available

Abstract

fetched live from OpenAlex

Age-related cognitive decline is well documented, especially in memory, speed of processing and executive functions. Structural brain changes are also well documented but often do not directly map onto the mild cognitive decline seen in otherwise healthy older adults. Recent work has focused on whether cognitive ageing is associated with decline in the strength of structural connectivity between neural regions, using diffusion magnetic resonance imaging (dMRI). Reduced integrity of white matter microstructure across the whole brain and in regions of interest, as measured by fractional anisotropy (FA), has been shown to be associated with cognitive decline in older adults who show no signs of dementia. This thesis uses dMRI tractography to examine the association between multiple measures of white matter microstructure across the whole brain and in 18 major white matter tracts and cognitive performance on a range of tasks that vary in process specificity. Seventy non-demented older adults (aged 43-87y) with varying degree of white matter disease completed a comprehensive cognitive and imaging assessment. Cognitive functioning was assessed at three levels: Firstly, global cognitive functioning was assessed using the Montreal Cognitive Assessment (MoCA). Then through the use of standardised neuropsychological tests, more specific cognitive domains of working memory, episodic memory, executive function and processing speed were assessed. An experimental task switching paradigm was then used to assess more specific components of executive function relating to proactive and reactive control processes. These showed that ability to detect the impact of tract-specific changes in white matter microstructure on cognitive performance was dependent on the specificity of the cognitive test. Although, irrespective of the level of cognitive assessment, the relationship between decline in white matter microstructural integrity and cognitive performance was specific only to participants with poor cardiovascular health. These findings suggest that cognitive and brain ageing profiles in older adults vary as a function of cardiovascular health and have strong implications for theories of cognitive ageing. They also emphasise the importance of cardiovascular health in prevention or delay in onset of cognitive decline in old age.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0210.000

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 head0.023
GPT teacher head0.286
Teacher spread0.263 · 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