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Record W3037077042 · doi:10.1002/hipo.23217

The associations of the <scp>BDNF</scp> and <scp>APOE</scp> polymorphisms, hippocampal subfield volumes, and episodic memory performance across the lifespan

2020· article· en· W3037077042 on OpenAlexafffund
Nikolai Malykhin, Scott G. Travis, Esther Fujiwara, Yushan Huang, Richard Camicioli, Fraser Olsen

Bibliographic record

VenueHippocampus · 2020
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsApolipoprotein EHippocampal formationEpisodic memorySubiculumDentate gyrusBrain-derived neurotrophic factorPsychologyHippocampusNeuroscienceNeurotrophic factorsInternal medicineMedicineCognitionReceptor

Abstract

fetched live from OpenAlex

In this study, we explored the associations between the brain derived neurotrophic factor (BDNF) and the apolipoprotein E (APOE) polymorphisms and hippocampal subfields in 127 healthy participants (18-85 years). MRI datasets were collected on a 4.7 T system. Participants were administered the Wechsler Memory Scale to evaluate episodic memory function. Significant associations of both polymorphisms were present only in older adults (≥50 years). BDNF polymorphism was associated with larger dentate gyrus volumes within the anterior hippocampus (head) in Met-carriers compared to Val/Val homozygotes. We found that in Met-carriers total hippocampal volume predicted performance on visuospatial memory tasks. APOE polymorphism was associated with larger total hippocampal volume, especially in cornu ammonis 1-3 and subiculum in APOE ɛ2 carriers compared to both ɛ4 and ɛ3 carriers, while APOE ɛ3 and ɛ4 carriers did not differ from each other. APOE polymorphism was associated with better performance on visuospatial memory tasks in APOE ε2 carriers in comparison to ε4 carriers.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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