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Record W4380894013 · doi:10.1002/alz.068169

Deformation‐based morphometry analysis shows early degeneration in Nucleus basalis of Meynert in Subjective Cognitive Decline

2023· article· en· W4380894013 on OpenAlexaff
Neda Shafiee, Cassandra Morrison, Mahsa Dadar, Vladimir Fonov, R. Nathan Spreng, D. Louis Collins

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsDouglas Mental Health University InstituteMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsNucleus basalisCognitionCognitive declineDementiaInternal medicineMedicineAlzheimer's diseasePsychologyNeuroscienceCholinergicCardiologyPathologyDiseaseCholinergic neuron

Abstract

fetched live from OpenAlex

Abstract Background People with subjective cognitive decline (SCD+) are thought to be at greater risk of Alzheimer’s disease (AD). The Nucleus basalis of Meynert (NbM) has been shown to change early in AD (Fernández‐Cabello et al., 2020), and it is the main source of cholinergic projection to entorhinal cortex (EC) (Mesulam et al., 2013). We thus investigated if there was evidence of degeneration in the NbM, or EC in SCD+ participants compared to those without (SCD‐), and if there was a relationship between changes in these regions and SCD status using deformation‐based morphometry (DBM). Method Data included baseline visit MRI scans of 232 cognitively healthy older adults (148 SCD‐; 84 SCD+) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset (using only ADNI2). SCD status was extracted based on the cognitive change index (CCI) of the subjects reported in ADNIMERGE data (CCI ≥16). MRI resolution was increased to 0.5 mm isotropic voxel‐size before non‐linear registration to an ADNI‐based unbiased symmetric template. The resulting deformation fields were used to compute the Jacobian determinant map for each subject as a proxy for local volume. NbM, and EC masks were mapped to our high‐resolution template and mean determinant values inside these masks were estimated, and sex‐ and age‐corrected z‐scores were calculated. Two‐sample t‐tests were then used to compare the SCD+:SCD‐ differences. Result Figure 1 shows the mean z‐score values for NbM and EC regions for both SCD+ and SCD‐ groups. Results for left NbM showed a significant difference between two groups (p = .007), but not for the right NbM (p = .12). However, z‐scored EC volumes did not show any statistically significant difference between groups for either left (p = .58) or right region (p = .41). Conclusion Our results suggest that in SCD+ subjects, while the EC is still intact, neurodegeneration in the NbM appears to have already begun. Quantifying degeneration in the NbM may allow for early diagnosis of AD. Further research is needed to evaluate if such differences can be computed on an individual subject basis for use as a biomarker.

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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.037
GPT teacher head0.323
Teacher spread0.287 · 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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