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Time between milestone events in the Alzheimer's disease amyloid cascade

2020· article· en· W3114125479 on OpenAlexfundno aff
Philip S. Insel, Michael Donohue, David Berron, Oskar Hansson, Niklas Mattsson

Bibliographic record

VenueNeuroImage · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersJohnson and Johnson Pharmaceutical Research and DevelopmentNational Institute on AgingNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchUniversity of California, San DiegoNational Institutes of HealthStiftelsen Bundy AcademyUniversity Hospital FoundationGenentechMarcus och Amalia Wallenbergs minnesfondSkånes universitetssjukhusMagnus Bergvalls StiftelseGreta och Johan Kocks stiftelserKonung Gustaf V:s och Drottning Victorias FrimurarestiftelseInnogeneticsRegion SkåneLund University Medical Faculty FoundationVetenskapsrådetEisaiLunds UniversitetNorthern California Institute for Research and EducationServierKnut och Alice Wallenbergs StiftelsePfizerBiogenBioClinicaSynarcSveriges LäkarförbundRocheUniversity of Southern CaliforniaIXICOTakeda Pharmaceutical CompanyMedpaceEli Lilly and CompanyBristol-Myers SquibbNovartis Pharmaceuticals CorporationJanssen Alzheimer Immunotherapy Research And DevelopmentHjärnfondenGyllenstiernska KrapperupsstiftelsenF. Hoffmann-La RocheAlzheimerfondenAlzheimer's Drug Discovery FoundationGE HealthcareAlzheimer's Disease Neuroimaging InitiativeMeso Scale DiagnosticsAlzheimer's Association
KeywordsMilestoneCognitionCohortPathologicalDiseasePsychologyCognitive reserveCognitive declineMedicineAlzheimer's diseaseInternal medicineNeuroscienceAmyloid (mycology)DementiaCognitive impairmentPathologyCartographyGeography

Abstract

fetched live from OpenAlex

OBJECTIVE: Estimate the time-course of the spread of key pathological markers and the onset of cognitive dysfunction in Alzheimer's disease. METHODS: In a cohort of 335 older adults, ranging in cognitive functioning, we estimated the time of initial changes of Aβ, tau, and decreases in cognition with respect to the time of Aβ-positivity. RESULTS: Small effect sizes of change in CSF Aβ42 and regional Aβ PET were estimated to occur several decades before Aβ-positivity. Increases in CSF tau occurred 7-8 years before Aβ-positivity. Temporoparietal tau PET showed increases 4-5 years before Aβ-positivity. Subtle cognitive dysfunction was observed 4-6 years before Aβ-positivity. CONCLUSIONS: Increases in tau and cognitive dysfunction occur years before commonly used thresholds for Aβ-positivity. Explicit estimates of the time for these events provide a clearer picture of the time-course of the amyloid cascade and identify potential windows for specific treatments.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

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)0.0000.001

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 head0.048
GPT teacher head0.327
Teacher spread0.279 · 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

Citations47
Published2020
Admission routes1
Has abstractyes

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