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Record W4206463347 · doi:10.1002/alz.057588

Differential impact of obstructive sleep apnea on hippocampal structure in late middle‐aged and older women and men

2021· article· en· W4206463347 on OpenAlexaffabout
Marie‐Ève Martineau‐Dussault, Véronique Daneault, Hélène Blais, Dominique Petit, Dominique Lorrain, Célyne Bastien, Carol Hudon, Maxime Descoteaux, Jacques Montplaisir, Arnaud Boré, Guillaume Theaud, Cynthia Thompson, Julie Legault, Guillermo E. Martinez, Danielle Gilbert, Julie Carrier, Nadia Gosselin

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalHealth and Social Services Centre University Institute of Geriatrics of SherbrookeCanadian Sleep & Circadian NetworkUniversité de SherbrookeUniversité LavalUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsHippocampal formationObstructive sleep apneaMedicineMagnetic resonance imagingHippocampusPolysomnographyDementiaInternal medicineSleep apneaCardiologyPsychologyApneaRadiology

Abstract

fetched live from OpenAlex

Abstract Background Recent studies have suggested that obstructive sleep apnea (OSA) could be a modifiable risk factor for dementia. Consequently, efforts have been made to better understand the role of OSA on brain structure integrity, but results between studies are inconsistent. Discrepancies could be partly due to moderating factors (e.g., sex) or complex physiological mechanisms (e.g., oedema) that blur the association between OSA and brain structure. Here, we investigated the association between OSA severity and hippocampal grey matter volume in women and men. We also performed free‐water fraction analyses to understand how oedema could impact hippocampal volumes. Method Seventy‐three men (age: 65.47±7.22 years; apnea‐hypopnea index [AHI]: 15.52±16.14 events/h; 31 with mild cognitive impairments [MCI]) and 47 women (age: 71.11 ± 6.65; AHI: 11.56 ± 9.92; 22 with MCI) underwent an overnight polysomnography, a neuropsychological evaluation and a magnetic resonance imaging session. Using the hippocampal subfield module in Freesurfer 7.1, total bilateral hippocampal volumes were extracted and normalised to the total intracranial volume. Diffusion data was preprocessed using TractoFlow‐ABS, and Freewater‐Flow and the Sherbrooke Connectivity Imaging Lab scripts were used to extract bilateral hippocampal free‐water fraction. Controlling for age and cognitive status, sex‐stratified linear regressions were performed between (i) the bilateral hippocampal volume or (ii) Free‐water‐corrected bilateral hippocampal volume and log‐transformed AHI. Result In women, we observed a positive association between the AHI and bilateral hippocampal volumes (r=0.414; p=0.005), where more severe OSA was associated with higher volumes. This association was not observed in men (p=0.427). When using the free‐water corrected volumes, this association was no longer significant in women (p=0.481), suggesting that the increased hippocampal volume could be due to OSA‐related cytotoxic (intracellular) oedema. Conclusion In this cohort, while men’s hippocampal volume was unaffected by OSA, women with OSA presented hippocampal hypertrophy likely due to intracellular oedema. Cytotoxic oedema is a known precursor to vasogenic (extracellular) oedema and cell death, suggesting that women might be more vulnerable to the cerebral consequences of OSA than men. Since women have a higher lifetime risk of developing Alzheimer's disease, future studies on OSA should pay a particular attention to women.

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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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".

Quick stats

Citations6
Published2021
Admission routes2
Has abstractyes

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