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Record W2981230469 · doi:10.1016/j.jalz.2019.06.4515

O2‐11‐05: MILD BEHAVIORAL IMPAIRMENT IS ASSOCIATED WITH β‐AMYLOID BUT NOT WITH TAU IN COGNITIVELY INTACT ELDERLY INDIVIDUALS

2019· article· en· W2981230469 on OpenAlexaff
Firoza Z Lussier, Tharick A. Pascoal, Mira Chamoun, Joseph Therriault, Cécile Tissot, Mélissa Savard, Sulantha Mathotaarachchi, Min Su Kang, Andréa Lessa Benedet, Émilie Thomas, Zahinoor Ismail, Pedro Rosa‐Neto, Serge Gauthier

Bibliographic record

VenueAlzheimer s & Dementia · 2019
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsDouglas Mental Health University InstituteDouglas CollegeHotchkiss Brain InstituteUniversity of CalgaryMcGill University Health Centre
Fundersnot available
KeywordsPsychologyNeuropsychologyVoxel-based morphometryGrey matterCognitive impairmentPittsburgh compound BVoxelAudiologyInternal medicineClinical psychologyMedicineCognitionWhite matterNeuroscienceMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Mild behavioral impairment (MBI) is a neurobehavioral syndrome characterized by the emergence of sustained non-cognitive neuropsychiatric symptoms in elderly persons. MBI therefore represents a potential marker of preclinical Alzheimer's disease. While studies have revealed correlations between certain neuropsychiatric symptoms and Alzheimer's disease (AD) biomarkers, little is known about the association of MBI with brain β-amyloid pathology. Aim: to investigate whether mild behavioral impairment is associated with accumulation of β-amyloid in cognitively normal elderly persons. Seventy-one cognitively healthy individuals aged from 57 to 86 years old underwent neuropsychological evaluation as well as MRI, [F]-MK6240 tau PET and [F]-AZD4694 β-amyloid PET. [F]-MK6240 and [F]-AZD4694 standardized uptake value ratios (SUVRs) used cerebellum grey matter as the reference region and were calculated between 90 to 110 min and 40 to 70 min post-injection, respectively. MBI was assessed using the Mild Behavioral Impairment Checklist (MBI-C) which is composed of 5 domains: decreased motivation, emotional dysregulation, impulse dyscontrol, social inappropriateness, and abnormal perception. Voxel-based regressions were used to evaluate the relationship between [F]-AZD4694 and [F]-MK6240 retention and MBI-C scores, adjusting for age, gender, and education, and APOE status. All voxel-based regression analyses were corrected for multiple comparisons using random field theory at p < 0.001. A positive correlation was found between total MBI-C scores and [F]-AZD4694 retention in the frontal and temporal lobe, as well as in the basal ganglia. The MBI-C domain scores for decreased motivation, emotional dysregulation, and impulse dyscontrol were highly correlated with [F]-AZD4694 retention in the left frontal lobe and basal ganglia, while abnormal perception scores were found to be correlated with [F]-AZD4694 retention in the right frontal lobe as well as in the occipital lobe. No correlation was found between [F]-MK6240 retention and MBI-C scores.

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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
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 head0.031
GPT teacher head0.308
Teacher spread0.277 · 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
Published2019
Admission routes1
Has abstractyes

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