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Record W4206372186 · doi:10.1002/alz.052400

Alterations in olfaction‐related brain regions in the ageing population: A structural MRI study

2021· article· en· W4206372186 on OpenAlexaff
Majed AlOtaibi, Matteo De Marco, Annalena Venneri

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsOlfactionAtrophyAgeingOlfactory systemHippocampusPopulationDementiaNeuroscienceMedicineAmygdalaPsychologyAudiologyPathologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background Ageing plays a major role in neurodegenerative disorders such as Alzheimer’s disease. Olfactory dysfunction can be an early alteration heralding the presence of a neurodegenerative disorder in ageing. Studying alterations in olfaction‐related brain regions might help detection of neurodegenerative diseases at an earlier stage. Objectives: To assess the volume of olfactory cortex and areas associated with odour processing in different age groups in the cognitively healthy population using high resolution 3D structural MRI scans. To test whether normal ageing determines any volumetric alterations of olfactory cortex, hippocampus and other associated areas and whether there are any differential predictive values of these alterations for neurodegenerative disorders. To determine if atrophy of the olfactory cortex occurs prior to atrophy of the hippocampus and other areas involved in some aspects of odour processing in the healthy population. Method Neurologically healthy participants were divided based on their age into three age groups: young (20–35 year; n=53), middle‐aged (36‐65 year; n=66) and elderly (66‐85 year; n=95). T1‐ weighted MRI scans acquired at 1.5T were processed using SPM12. Smoothed images were used to extract the volume of olfaction‐related regions including primary olfactory cortex, hippocampus, parahippocampus and amygdala. Result One‐way ANOVA analyses showed significant decreases in volume between age groups in all olfaction‐related brain regions (p≤0.0001). Post‐hoc multiple comparisons tests showed that significant differences were found between age groups except in the young vs the middle‐aged where no significant differences were found for hippocampal and amygdala volumes. Pairwise comparisons of groups following ANCOVA showed no significant difference in all olfaction‐related brain regions when controlling for age. Adjusting for education showed significant age‐group differences in olfactory cortex and parahippocampus volumes except for hippocampus in all groups, and for the amygdala for young versus middle‐aged groups Conclusion These preliminary data showed significant reduction in the volume of olfaction‐related brain regions with ageing, but hippocampus and amygdala appeared to have a more limited volume reduction than primary olfactory cortex and parahippocampus. The results suggest that monitoring of volume of olfaction‐related brain regions in the ageing population may be valuable to detect risk of neurodegenerative 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.127
GPT teacher head0.311
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

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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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