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Record W4205328021 · doi:10.1002/alz.054133

Tau‐PET is associated with knowledge of COVID‐19, COVID‐19‐related distress, and change in sleep quality during the pandemic

2021· article· en· W4205328021 on OpenAlexaff
Firoza Z Lussier, Stijn Servaes, Min Su Kang, Gleb Bezgin, Mira Chamoun, Jenna Stevenson, Nesrine Rahmouni, Alyssa Stevenson, Tharick A. Pascoal, Suzanne King, Guillaume Elgbeili, Danilo Bzdok, Serge Gauthier, Pedro Rosa‐Neto

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsMcGill University
Fundersnot available
KeywordsPandemicDistressCohortPsychologyMedicineCoronavirus disease 2019 (COVID-19)Clinical psychologyPsychiatryInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background While the global COVID‐19 pandemic has hindered many human research operations, it has allowed for the investigation of novel scientific questions. Particularly, the effects of the pandemic and its resulting social isolation on elderly individuals and their association with Alzheimer’s disease biomarkers remains a broad and open question. Here, we sought to investigate whether knowledge of COVID‐19, pandemic‐related distress, and changes in sleep quality were associated with in vivo tau deposition in an AD‐enriched cohort. Methods COVID‐19 telephone assessments were conducted in N=292 individuals (29 young/174 CN/52 MCI/19 AD/18 other) of the TRIAD cohort in April‐July 2020. Assessment consisted of clinical and neuropsychiatric, instruments, including scales assessing the individual’s experience of the pandemic. Structural MRI and [18F]MK6240 tau‐PET were acquired before the pandemic. [18F]MK6240 standardized uptake value ratio (SUVR) were calculated 90‐110 minutes post‐injection using cerebellar grey matter as the reference region. Voxel‐based regression analyses were conducted to examine the associations between baseline [18F]MK6240 SUVR and knowledge of COVID‐19, distress related to COVID‐19, and change in sleep quality since the pandemic. Results Higher tau‐PET SUVR was associated with less knowledge of COVID‐19 in N=210 individuals in the cuneus, cingulate and superior temporal regions. Tau‐PET was similarly associated with lower levels of COVID‐19‐related distress in the isthmus and rostral anterior cingulate (N=201 individuals). Furthermore, tau‐PET tracer uptake was significantly associated with increases in sleep quality as assessed by rate of change in Pittsburgh Sleep Quality Index before and during the pandemic (N=176 individuals). All results survived correction for multiple comparisons using random field theory with a cluster threshold of p < 0.001. Conclusion Our results suggest that those with increased tau deposition may have a weaker understanding of symptoms and prevention of COVID‐19 and lower levels of distress related to the pandemic than individuals with less brain tau. Individuals with higher tau may also experience improved sleep quality during the pandemic. While these observations appear to be favourable effects of tau, the first may suggest that public health information about COVID‐19 is less accessible to the aging population. The interactions and mediation of these effects remain to be properly elucidated.

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 score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.039
GPT teacher head0.337
Teacher spread0.299 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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