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. 2025 Aug 14:awaf279.
doi: 10.1093/brain/awaf279. Online ahead of print.

Connectivity as a universal predictor of tau progression in atypical Alzheimer's disease

Hannah de Bruin  1   2   3 Colin Groot  1   2   4 Henryk Barthel  5 Gérard N Bischof  6   7 Ganna Blazhenets  8 Ronald Boellaard  9   10 Baayla D C Boon  1   11 Matthias Brendel  12   13   14   15   16 David M Cash  17   18 William Coath  17 Gregory S Day  11 Bradford C Dickerson  19 Elena Doering  7   20 Alexander Drzezga  6   7   20 Christopher H van Dyck  21   22 Thilo van Eimeren  7   23 Wiesje M van der Flier  1   2 Carolyn A Fredericks  24   25 Tim D Fryer  26   27 Elsmarieke van de Giessen  9   10 Brian A Gordon  28   29 Jonathan Graff-Radford  30 Lea T Grinberg  8   31 Oskar Hansson  4 Diana A Hobbs  28   29 Merle C Hoenig  6   7 Günter Höglinger  13   14   32 David J Irwin  33   34 P Simon Jones  26 Keith A Josephs  30 Yuta Katsumi  19 Renaud La Joie  8 Edward B Lee  35   36   37 Johannes Levin  13   14   32 Maura Malpetti  26   38 Scott M McGinnis  19 Adam P Mecca  21   22 Rosaleena Mohanty  39 Ilya M Nasrallah  40 John T O'Brien  41 Ryan S O'Dell  21   22 Carla Palleis  32 Robert Perneczky  42 Jeffrey S Phillips  33   34 Deepti Putcha  19 Gil D Rabinovici  8   43 Nesrine Rahmouni  44 Pedro Rosa-Neto  44 James B Rowe  26   45 Michael Rullmann  5 Osama Sabri  5 Dorothee Saur  46 Andreas Schildan  5 Jonathan M Schott  17 Matthias L Schroeter  47   48 William W Seeley  8   31 Stijn Servaes  44 Irene Sintini  49 Ruben Smith  4   50 Salvatore Spina  8 Jenna Stevenson  44 Erik Stomrud  4   50 Olof Strandberg  4 Joseph Therriault  44 Pontus Tideman  4   50 Alexandra Touroutoglou  19 Anne E Trainer  51 Denise Visser  2   9   10 Fattin Wekselman  8   31 Philip S J Weston  17   18 Jennifer L Whitwell  49 David A Wolk  33   35   52 Keir Yong  17 Yolande A L Pijnenburg  1   2 Nicolai Franzmeier  3   13   53 Rik Ossenkoppele  1   2   4
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Connectivity as a universal predictor of tau progression in atypical Alzheimer's disease

Hannah de Bruin et al. Brain. .

Abstract

The link between regional tau load and clinical manifestation of Alzheimer's disease (AD) highlights the importance of characterizing spatial tau distribution across disease variants. In typical (memory-predominant) AD, the spatial progression of tau pathology mirrors the functional connections from temporal lobe epicenters. However, given the limited spatial heterogeneity of tau in typical AD, atypical (non-amnestic-predominant) AD variants with distinct tau patterns provide a key opportunity to investigate the universality of connectivity as a scaffold for tau progression. In this large-scale, multicenter study across 14 international sites, we included cross-sectional tau-PET data from 320 individuals with atypical AD (n=139 posterior cortical atrophy/PCA-AD; n=103 logopenic variant primary progressive aphasia/lvPPA-AD; n=35 behavioural variant AD/bvAD; n=43 corticobasal syndrome/CBS-AD), with a subset of individuals (n=78) having longitudinal tau-PET data. Additionally, as an independent sample, we included regional post-mortem tau stainings from 93 atypical AD patients from two sites (n=19 PCA-AD, n=32 lvPPA-AD, n=23 bvAD, n=19 CBS-AD). Gaussian mixture modeling was used to harmonize different tau-PET tracers by transforming tau-PET standardized uptake value ratios to tau positivity probabilities (a uniform scale ranging from 0% to 100%). Using linear regression, we assessed whether brain regions with stronger resting-state fMRI-based functional connectivity, derived from healthy elderly controls in the Alzheimer's Disease Neuroimaging Initiative (ADNI), showed greater covariance in cross-sectional and longitudinal tau-PET and post-mortem tau pathology. Furthermore, we examined whether functional connectivity of tau-PET epicenters (i.e., the top 5% of regions with the highest baseline tau load) and tau-PET accumulation epicenters (i.e., the top 5% of regions with the highest tau accumulation rates) was associated with cross-sectional and longitudinal tau patterns. Our findings show that tau-PET epicenters aligned with clinical variants, e.g. a visual network predominant pattern in PCA-AD ('visual AD') and left-hemispheric temporal predominance, particularly within the language network, in lvPPA-AD ('language AD'). Moreover, more strongly functionally connected regions showed correlated concurrent tau-PET levels (confirmed with post-mortem data) and tau-PET accumulation rates. The functional connectivity profile of tau-PET epicenters and accumulation epicenters corresponded to tau-PET progression patterns, with higher tau-PET levels and accumulation rates in functionally close regions, and lower tau-PET levels and accumulation rates in functionally distant regions. Our data are consistent with the hypothesis that tau propagation occurs along functional connections originating from local epicenters, across all AD clinical variants. Since tau proteinopathy is a major driver of neurodegeneration and cognitive decline, this finding may advance personalized medicine and participant-specific endpoints in clinical trials.

Keywords: PET; atypical Alzheimer’s disease; connectivity; fMRI; heterogeneity; tau.

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