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Record W4390191699 · doi:10.1002/alz.082756

Enhanced memory for negative words is associated with amnestic mild cognitive impairment and in vivo cerebral amyloid‐β burden independently of depression

2023· article· en· W4390191699 on OpenAlexaff
Linda Mah, Nicolaas Paul L.G. Verhoeff, Meryl A. Butters, Corinne E. Fischer, Alastair J. Flint, Ariel Graff‐Guerrero, Nathan Herrmann, Krista L. Lanctôt, Benoit H. Mulsant, Bruce G. Pollock, Tarek K. Rajji

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreCentre for Addiction and Mental HealthUniversity of TorontoUniversity Health NetworkSt. Michael's HospitalBaycrest Hospital
Fundersnot available
KeywordsDementiaEpisodic memoryPsychologyAudiologyMemory impairmentClinical psychologyNeuropsychologyCognitionMedicinePsychiatryInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background Emotion dysregulation was studied as a potential risk marker for Alzheimer’s disease (AD) by assessing emotional memory in high AD‐risk groups characterized by the presence of mild cognitive impairment (MCI) or remitted major depressive disorder (rMDD) and by evaluating the relationship between emotional memory and in vivo cerebral amyloid‐β deposition. Method 435 participants enrolled in the PACt‐MD clinical trial of cognitive remediation plus transcranial direct current stimulation were evaluated at baseline. The sample included 127 older adults with amnestic mild cognitive impairment (aMCI), 51 non‐amnestic MCI (naMCI), 60 rMDD without MCI, 81 rMDD+aMCI, 42 rMDD+naMCI, and 74 cognitively unimpaired older adults (CU). Diagnoses were established during a consensus conference based on psychiatric, medical, and neuropsychological assessment. Emotional memory was assessed by evaluating immediate and short‐term delayed recall of 15 personality adjectives (5 each of positive, negative and neutral words) from the Emotional Verbal Learning Test (Mah et al., 2017, American Journal of Geriatric Psychiatry, 25:1160). A subset (N = 167) completed a Positron Emission Tomography (PET) scan with carbon‐11 Pittsburgh Compound B ([11C] PIB). Valence and diagnostic group effects on recall were assessed using mixed ANOVA. Regression modelling assessed the association between emotional memory bias and amyloid‐β burden. Result Relative to CU, both aMCI and rMDD+aMCI groups showed enhanced memory for negative words at immediate recall, which persisted after short delay in the aMCI group only (F(1, 339) = 2.66, p = .048; Figure 1). Enhanced memory for negative words at short delay was predictive of in vivo cerebral amyloid‐β deposition (standardized beta = .117, t = 1.84, p = .067), over and above the contributions of age, sex, Apolipoprotein E genotype, depression diagnosis and symptoms, and long delayed verbal recall (F(4,154) = 25.8, p<.001, R2 = .41; Figure 2). Conclusion The association between enhanced memory for negative personality adjectives and aMCI replicates earlier work in single‐domain aMCI (Mah et al., 2017) and suggests that aMCI is characterized by a negativity bias in memory. These findings, taken together with the relationship between a negativity bias in memory and amyloid‐β burden, suggest that emotion dysregulation, in the form of enhanced memory for negative information, is a potential marker of AD risk.

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)0.002
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.024
GPT teacher head0.309
Teacher spread0.285 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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