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Record W4206163768 · doi:10.1002/alz.055312

Mild behavioral impairment is associated with amyloid, tau and neurodegeneration in mild cognitive impairment

2021· article· en· W4206163768 on OpenAlexaff
Zahinoor Ismail, Hung‐Yu Chen, Sascha Gill, James Naude, Eric E. Smith

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsNeurodegenerationDementiaCognitive impairmentPsychologyInternal medicineCognitionMedicineDiseaseClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Mild behavioural impairment (MBI) is a dementia at‐risk syndrome using later‐life neuropsychiatric symptoms (NPS) to determine risk. For some, MBI may be a non‐cognitive marker of neurodegeneration. A hallmark criterion of MBI is symptom persistence. We examined associations between NPS and Alzheimer’s disease (AD) proteins for amyloid, tau, and neurodegeneration in participants with mild cognitive impairment (MCI), comparing groups with persistent, transient, and no NPS. Method ADNI participant data was used for this study including Neuropsychiatric Inventory (NPI) scores for baseline and one‐year visits and CSF measures for β‐amyloid (Aβ42), phospho‐tau (p‐tau), and total tau (t‐tau). MBI status was derived from the NPI using a published algorithm. For each visit MBI+ was defined as an MBI score >0 and MBI‐ as MBI=0. Participants with MBI+ at both baseline and 1‐year visits were classified as having persistent NPS (i.e., MBI). An MBI+ score at only one visit was considered as transient NPS not consistent with MBI, and two consecutive MBI‐ visits were classified as no NPS. CSF protein values were log transformed due to skewness. Linear regressions were fitted to assess the association between NPS status and CSF biomarkers (Aβ42, p‐tau, t‐tau, and the derived measures p‐tau/Aβ42 and t‐tau/Aβ42), controlling for age, sex, education, and mini‐mental state examination. Result The sample of 480 participants had a mean age of 72.6 (SD 7.6); 195 (40.6%) were female. Compared to participants with no NPS, persistent NPS (i.e., MBI) was associated with lower CSF Aβ42 levels (p=0.02), higher CSF p‐tau (p=0.01) and t‐tau levels (p=0.026), and higher p‐tau/Aβ42 (p=0.002) and t‐tau/Aβ42 ratios (p=0.003) in adjusted models. Transient symptoms had CSF measures that did not differ from the no NPS group (Table 1). Conclusion In older adults with MCI, MBI was associated with abnormal CSF biomarkers of amyloid, tau and neurodegeneration. In this sample, MBI served as a marker to capture a group with greater AD neuropathological burden, extending the literature linking MBI with higher risk for AD. The findings emphasize the importance of appropriately ascertained NPS, in this case with respect to symptom persistence, in dementia detection and prognostication.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.029
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.036
GPT teacher head0.317
Teacher spread0.281 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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