Progressive aphasia secondary to Alzheimer disease vs FTLD pathology
Bibliographic record
Abstract
<b>Background: </b> The pathology causing progressive aphasia is typically a variant of frontotemporal lobar degeneration, especially with ubiquitin-positive inclusions (FTLD-U). Less commonly the underlying pathology is Alzheimer disease (AD). <b>Objective: </b> To compare clinicopathologic and MRI features of subjects with progressive aphasia and AD pathology to subjects with aphasia and FTLD-U pathology and subjects with typical AD. <b>Methods: </b> We identified 5 subjects with aphasia and AD pathology and 5 with aphasia and FTLD-U pathology with an MRI from a total of 216 aphasia subjects. Ten subjects with typical AD clinical features and AD pathology were also identified. All subjects with AD pathology underwent pathologic reanalysis with TDP-43 immunohistochemistry. Voxel-based morphometry (VBM) was used to assess patterns of gray matter atrophy in the aphasia cases with AD pathology, aphasia cases with FTLD-U, and typical AD cases with AD pathology, compared with a normal control group. <b>Results: </b> All aphasic subjects had fluent speech output. However, those with AD pathology had better processing speed than those with FTLD-U pathology. Immunohistochemistry with TDP-43 antibodies was negative. VBM revealed gray matter atrophy predominantly in the temporoparietal cortices, with notable sparing of the hippocampus in the aphasia with AD subjects. In comparison, the aphasic subjects with FTLD-U showed sparing of the parietal lobe. Typical AD subjects showed temporoparietal and hippocampal atrophy. <b>Conclusions: </b> A temporoparietal pattern of atrophy on MRI in patients with progressive fluent aphasia and relatively preserved processing speed is suggestive of underlying Alzheimer disease pathology rather than frontotemporal lobar degeneration with ubiquitin-only immunoreactive changes. <b>GLOSSARY: </b><b>AD</b> = Alzheimer disease; <b>ADPR</b> = Alzheimer9s Disease Patient Registry; <b>ADRC</b> = Alzheimer9s Disease Research Center; <b><i>aphasia–AD</i></b> = subjects with progressive aphasia and Alzheimer disease pathology; <b>aphasia–FTLD-U</b> = subjects with progressive aphasia and frontotemporal lobar degeneration with ubiquitin-only immunoreactive changes pathology; <b>CDR</b> = Clinical Dementia Rating; <b>DCT</b> = discrete cosine transformation; <b>FTLD</b> = frontotemporal lobar degeneration; <b>FTLD-U</b> = frontotemporal lobar degeneration with ubiquitin-only immunoreactive changes; <b>FWHM</b> = full-width at half-maximum; <b>GM</b> = gray matter; <b>MMSE</b> = Mini-Mental State Examination; <b>MNI</b> = Montreal Neurological Institute; <b>NA</b> = not applicable; <b>NIA</b> = National Institute on Aging; <b>NR</b> = not reported; <b>NS</b> = not significant; <b>PPA</b> = primary progressive aphasia; <b>typical AD</b> = subjects with a clinical and pathologic diagnosis of Alzheimer disease; <b>VBM</b> = voxel-based morphometry; <b>WAIS-R</b> = Wechsler Adult Intelligence Scale–Revised; <b>WM</b> = white matter; <b>WMS-R</b> = Wechsler Memory Scale–Revised.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
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 teacher head, 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".