Early and selective subcortical Tau pathology within the human Papez circuit
Bibliographic record
Abstract
Abstract The Papez circuit comprises several interconnected brain areas important for spatial navigation and orientation. An early symptom of dementia is disorientation, suggesting that brain regions responsible for providing a sense of direction are adversely affected. We examined post-mortem human tissue from cases with no cognitive impairment, mild cognitive impairment, and Alzheimer’s disease. A key part of the Papez circuit, the anterodorsal thalamic nucleus (ADn), contained a high density of misfolded pathological Tau (pTau) at all disease stages, including in control cases. Moreover, pTau preferentially accumulated in calretinin-expressing neurons. At the subcellular level, we detected pTau filaments in ADn cell bodies, dendrites, and in specialized presynaptic terminals. Large vesicular-glutamate-transporter-2-containing terminals from the lateral mammillary nucleus, rather than corticothalamic terminals, preferentially contained pTau, suggesting that Tau crosses specific synapses within the Papez circuit. As the ADn contains a high density of head direction cells, pTau may degrade the processing of orientation signals, explaining why people become disorientated years-to-decades before memory deficits emerge.
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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 | 0.000 |
| 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) | 0.003 | 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".