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Record W2078039122 · doi:10.1016/j.jalz.2008.05.122

IC‐P3‐178: Multi‐component relaxometry and myelin water fraction imaging with gradient recalled acquisition in the steady state

2008· article· en· W2078039122 on OpenAlexaff
Sean Deoni, Brian K. Rutt, Carlo Pierpaoli, Derek K. Jones

Bibliographic record

VenueAlzheimer s & Dementia · 2008
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsRelaxometrySteady-state free precession imagingMyelinNuclear magnetic resonanceIn vivoPartial volumeFree waterMagnetic resonance imagingWhite matterChemistryBiomedical engineeringVolume (thermodynamics)Nuclear medicineMaterials scienceNeurosciencePhysicsMedicineBiologyRadiologyCentral nervous systemSpin echoEnvironmental scienceThermodynamics

Abstract

fetched live from OpenAlex

Background: Understanding factors that contribute to successful cognitive aging has become increasingly important as a growing portion of the population lives to very old age.Our research has focused on different patterns of cognitive aging by using electrophysiologic and behavioral measures.Previously, we demonstrated (e.g., NeuroImage, 2008; 39(1)) that cognitively high-functioning younger-old (y-old) (65-79 y.o.) subjects allocate more neural resources, as measured by the P3 event-related potential, than cognitively high-functioning middle-aged and young subjects and than cognitively average-functioning y-old subjects.Interestingly, although cognitively average-functioning middle-aged subjects appropriate more resources to novel stimuli than cognitively-matched young subjects, cognitively average-functioning y-old subjects exhibit a substantial reduction in novelty P3 amplitude.These findings suggest that age-related compensatory activity may involve increased allocation of capacity-limited controlled resources that persists until capacity limits are exceeded.For cognitively average-functioning adults this may occur by y-old age.We hypothesized that in cognitively high functioning adults this would develop in old-old (o-old) age.Here we have extended our investigations to include o-old individuals ('80 y.o.), and report on preliminary results.Objective: To determine whether cognitively high functioning o-old adults continue to exhibit compensatory neural activity and a preference for attending to novelty.Methods: Electrophysiologic and behavioral responses to standard, target, and novel visual stimuli were recorded while young, middleaged, y-old, and o-old individuals performed a subject-controlled variant of the novelty oddball task.Results: Cognitively high-functioning o-old adults exhibited a large reduction in their novelty P3, but not until their mid to late 80s.Behaviorally, cognitively high-functioning individuals in their 90s continued to spend more time exploring novel than repetitive standard visual stimuli.Conclusions: Our research suggests that age-related compensatory neural activity may not be limited to high-functioning older individuals with substantial cognitive reserve, but also be observed among cognitively average-functioning adults at an earlier stage of the lifespan.Cognitively high-functioning adults appear to have the capacity to appropriate compensatory neural resources at least through their early 80s, and continue to be attracted to novelty, a hallmark of healthy human behavior, at least through their early 90s.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.027
GPT teacher head0.291
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

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 designBench or experimental
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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