Hemispheric Asymmetry of Amyloid Deposition Influences Asymmetric Tau Pathology in Alzheimer’s Disease
Bibliographic record
Abstract
BACKGROUND: Tau pathology distribution in Alzheimer's disease (AD) shows individual spatial heterogeneity, including hemispheric asymmetry. The mechanisms underlying this asymmetry remain unclear. This study explored whether tau asymmetry is linked to reduced inter-hemispheric connectivity, potentially restricting tau spread, or reflects asymmetry in amyloid-beta (Aβ) distribution, indicating hemisphere-specific vulnerability to early Aβ pathology. METHOD: The study included 837 Aβ-positive (CSF Aβ42/40<0.08 or cortical Aβ-PET>1.033) participants from the Swedish BioFINDER-2 cohort with available tau-PET scan(s). A cross-sectional subsample of 452 subjects with evidence of tau pathology based on temporal meta-ROI (Braak I-IV; SUVR>1.362) was selected and categorised as left asymmetric (n = 102), symmetric (n = 306), or right asymmetric (n = 44) using a laterality index (LI; see Figure 1). First, edge-wise inter-hemispheric structural (diffusion-MRI, n = 352) and functional (rs-fMRI, n = 318) connectivity were compared between the tau asymmetry groups using the Desikan-Killiany parcellation. Only the top 10% inter-hemispheric connections identified in a separate control sample were analysed. Second, the association between Aβ and tau laterality patterns was investigated using linear regression on LI values and validated in three independent cohorts (OASIS-3, A4, ADNI). Finally, in a longitudinal subsample (n = 289; average follow-up = 2.9 years) of Aβ-positive participants with multiple tau-PET scans, stratified into A+T- (n = 180) and A+T+ (n = 109) groups based on pathology at baseline, linear mixed effect models were used to assess the association between baseline Aβ laterality and tau laterality change over time. RESULT: Cross-sectionally, no differences in average edge-wise inter-hemispheric functional or structural connectivity were found between tau asymmetric and symmetric groups (Figure 2a). In contrast, a strong association was observed between tau and Aβ laterality patterns (Figure 2b; β=0.632, p <0.001), which was replicated in three independent cohorts (Figure 2c; all p <0.005). In the longitudinal A+ sample, the degree of Aβ asymmetry at baseline predicted progression of tau laterality over time (Figure 3a; β=0.025, p = 0.028), with the strongest interaction effect in the Braak III-IV meta-ROI in A+T- individuals (Figure 3b; β=0.080, p <0.001) but not in A+T+ (Figure 3c). CONCLUSION: These findings suggest that tau asymmetry is not associated with differences in macro-scale inter-hemispheric individual connectivity but reflects hemispheric differences in vulnerability to Aβ pathology.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".