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Record W2001676187 · doi:10.1097/wnr.0b013e3282f8b18c

Aging hippocampus and amygdala

2008· article· en· W2001676187 on OpenAlex
Nikolai Malykhin, Thomas P. Bouchard, Richard Camicioli, Nicholas J. Coupland

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNeuroreport · 2008
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsAmygdalaHippocampusNeurosciencePsychology

Abstract

fetched live from OpenAlex

Earlier studies suggest that the anterior hippocampus may show resilience to age-associated volume loss. This study compared high-resolution magnetic resonance images obtained from younger (n=28; age range: 22-50 years) and older (n=39; age range: 65-84 years) healthy right-handed individuals to determine whether age-related volume changes varied between the hippocampal head, body and tail. Volumetric reductions were progressively more severe from hippocampal head to tail. Amygdala volume differences were intermediate in size. Although limited by the cross-sectional design, these data suggest that hippocampal subregions show a gradient of volume reduction in healthy aging that contrasts with the preferential reduction of anterior hippocampal volumes in Alzheimer's and Parkinson's diseases.

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 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 score0.009
Threshold uncertainty score0.444

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)0.0000.000

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 head0.122
GPT teacher head0.306
Teacher spread0.184 · 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