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Record W4403135130 · doi:10.1002/trc2.12497

Linking cognitive and behavioral reserve: Evidence from the CAN‐PROTECT study

2024· article· en· W4403135130 on OpenAlexafffundabout
Dylan X. Guan, Moyra E. Mortby, G. Bruce Pike, Clive Ballard, Byron Creese, Anne Corbett, Ellie Pickering, Adam Hampshire, Pamela Roach, Eric E. Smith, Zahinoor Ismail

Bibliographic record

VenueAlzheimer s & Dementia Translational Research & Clinical Interventions · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
FundersDementia Centre for Research CollaborationDementia AustraliaAlberta InnovatesKillam TrustsNational Institute for Health and Care ResearchAlzheimer Society
KeywordsCognitive reserveNeuropsychologyCognitionPsychologyCognitive declineClinical psychologyDementiaGerontologyDiseasePsychiatryMedicineCognitive impairmentInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Changes to the brain due to Alzheimer's disease and other age-related neuropathologies may present with cognitive and behavioral symptoms, even during preclinical and prodromal stages. While cognitive reserve is known to mitigate cognitive decline in the preclinical stages of Alzheimer's disease, links between cognitive reserve and behavioral symptoms remain unclear. This study investigates the relationship between cognitive reserve and mild behavioral impairment (MBI), a neurodegenerative behavioral prodrome. METHODS: We analyzed cross-sectional data from 1204 participants in the Canadian Platform for Research Online to Investigate Health, Quality of Life, Cognition, Behavior, Function, and Caregiving in Aging (CAN-PROTECT) study. A cognitive reserve score (CRS) was generated based on education, occupation, and personal cognitive reserve proxies. MBI presence (MBI+) and MBI global and domain symptom severity were evaluated using the self-reported MBI Checklist. Initial analyses examined the convergent validity of the CRS through associations with objective neuropsychological test performance and self-reported cognitive symptoms (Everyday Cognition [ECog-II] scale). Models were also fitted to assess MBI status and severity as functions of the CRS. RESULTS: = .003), and lower MBI symptom severity globally, and in impulse dyscontrol and social inappropriateness domains. DISCUSSION: We provide preliminary evidence that engagement in activities known to preserve cognitive function in aging and disease may also preserve behavioral function. Future research should disentangle possible pathways through which cognitive reserve may preserve both cognition and behavior, explore common etiologies for these symptoms, and observe outcomes longitudinally to better understand these relationships. Highlights: Education, occupation, and personal activities are cognitive reserve proxies.Cognitive reserve is linked to lower subjective cognitive decline in older persons.Cognitive reserve is linked to lower mild behavioral impairment odds and severity.

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)0.009
metaresearch head score (Gemma)0.001
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 score0.155
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.528
GPT teacher head0.592
Teacher spread0.063 · 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 teacher head, not a consensus.

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

Citations11
Published2024
Admission routes3
Has abstractyes

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