Specific damages to olfactory‐related structures and their relation to episodic memory in Individuals at Risk of Alzheimer’s Disease
Bibliographic record
Abstract
Abstract Background One of the major challenges in the diagnosis of Alzheimer’s disease (AD) is to increase the specificity of the early diagnosis. While episodic memory impairment is a sensitive marker of AD, other markers are needed to improve diagnostic specificity. A promising biomarker might be a cerebral atrophy of the central olfactory processing areas in the early stages of the disease since an impairment of olfactory identification is present at early clinical stages of AD. Our goal was to evaluate whether reduced grey matter volume (GMV) in the central olfactory processing regions could be observed in early and preclinical stages of AD. We also aimed to verify if GMV of central olfactory processing regions is associated with episodic memory performance. Method 166 participants from the Consortium for the Early Identification of Alzheimer’s Disease‐Quebec (CIMA‐Q) (92 with subjective cognitive decline ‐ SCD, 40 with mild cognitive impairment ‐ MCI and 34 cognitively healthy controls) were included. We performed regions of interest (ROI) analysis using a mask of the regions that are activated during olfactory stimulation. We also extracted GMV outside ROIs, representing non‐olfactory areas of these regions, i.e., regions which do not respond to olfactory stimulation. Verbal episodic memory was assessed using a free word recall task from Memoria Word Recall test. Result Compared to controls (p = .019) and participants with SCD (p = .003), participants with MCI exhibited a smaller total GMV of central olfactory processing regions, with a significant interaction effect between region and group (p = .004). Specifically, the piriform cortex, amygdala, entorhinal cortex, and left hippocampus were significantly smaller in individuals with MCI (p = .05, corrected). In contrast, when comparing GMV outside ROIs between the three groups, there was no such interaction between region and group (p = .428). Additionally, GMV in the olfactory areas of the piriform cortex, amygdala, and left hippocampal gyrus was correlated with episodic memory performance, while GMV in the non‐olfactory areas of the left hippocampus and left parahippocampal gyrus was correlated with episodic memory performance (p = .05, corrected). Conclusion There is a specific neurodegeneration of limbic and medial‐temporal olfactory‐structures in MCI, GMV of these regions being related to cognitive performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".