Back to Authors

Boon, Baayla D.C.

Mayo Clinic

WinnMed

Citations 2

Heterogeneous tau patterns in atypical AD are explained by connectivity‐associated tau progression
Bruin, Hannah de , Groot, Colin , (ADNI), Alzheimer's Disease Neuroimaging Initiative, Barthel, Henryk, Bischof, Gérard N. , Boon, Baayla D.C., Brendel, Matthias, Cash, David M, Day, Gregory S, Dickerson, Brad C., Dyck, Christopher H van, Flier, Wiesje M. van der, Fredericks, Carolyn , Fryer, Tim D. , Giessen, Elsmarieke van de, Gordon, Brian A., Radford, Jonathan Graff, Hansson, Oskar H., Höglinger, Günter U, Hönig, Merle C., Irwin, David J., Jones, P Simon, Josephs, Keith A., Katsumi, Yuta , Lee, Eddie B., Xiong, Chengjie , McGinnis, Scott M., Mecca, Adam P. , O'Brien, John T, O'Dell, Ryan S, Rabinovici, Gil D., Rahmouni, Nesrine, Rosa‐Neto, Pedro, Sabri, Osama, Schott, Jonathan M, Schroeter, Matthias L, Seeley, William W., Servaes, Stijn, Sintini, Irene , Smith, Ruben, Stevenson, Jenna , Strandberg, Olof, Therriault, Joseph, Tideman, Pontus , Touroutoglou, Alexandra , Trainer, Anne, Wekselman, Fattin, Weston, Philip SJ., Whitwell, Jennifer L., Yong, Keir X X, O’Brien, John T. , Rabinovici, Gil D. , Day, Gregory S. , O'Brien, John Tiernan , Day, Gregory S , Xiong, Chengjie , Rabinovici, Gil D , Groot, Colin , Initiative, Alzheimer's Disease Neuroimaging, Blazhenets, Ganna , Boellaard, Ronald , Boon, Baayla D.C. , Brendel, Matthias , Cash, David M. , Coath, William , Dickerson, Brad C., Doering, Elena , Drzezga, Alexander E. , Dyck, Christopher H. van , Eimeren, Thilo van , Flier, Wiesje M. van der , Giessen, Elsmarieke van de , Gordon, Brian A. , Grinberg, Lea T. , Hansson, Oskar , Hobbs, Diana A. , Höglinger, Günter U. , Irwin, David J. , Jones, Peter Simon , Josephs, Keith A. , Joie, Renaud La , Lee, Eddie B, Malpetti, Maura , Mohanty, Rosaleena , Nasrallah, Ilya M. , O’Dell, Ryan S. , Palleis, Carla , Perneczky, Robert , Phillips, Jeffrey S , Putcha, Deepti , Rahmouni, Nesrine , Rosa-Neto, Pedro , Rowe, James B. , Rullmann, Michael , Saur, Dorothee , Schildan, Andreas , Schott, Jonathan M. , Schroeter, Matthias L , Seeley, William W. , Servaes, Stijn , Spina, Salvatore , Stomrud, Erik , Therriault, Joseph , Visser, Denise , Weston, Philip S.J. , Whitwell, Jennifer L. , Wolk, David A. , Yong, Keir , Pijnenburg, Yolande A.L. , Franzmeier, Nicolai , Ossenkoppele, Rik

Alzheimer's & Dementia | January 7, 2026 | Volume: 21 | Issue: S2 | Pages: No page available

10.1002/alz70856_104871 Get It

Abstract Background The link between regional tau load and clinical manifestation of Alzheimer's disease (AD) highlights the importance of characterizing spatial tau distribution. In typical (memory‐predominant) AD, the spatial progression of tau pathology mirrors the functional connections from temporal lobe epicenters. However, atypical (non‐amnestic‐predominant) AD variants with heterogeneous tau patterns provide a key opportunity to assess the universality of connectivity as a scaffold for tau progression. Method We included tau‐PET data from 320 subjects with atypical AD, characterized by highly heterogeneous tau patterns ( 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) from 14 sites, with a subset of patients ( n = 78) having longitudinal tau‐PET data. As an independent sample, we further 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 1) brain regions with stronger functional connectivity showed greater covariance in cross‐sectional and longitudinal tau‐PET and post‐mortem tau pathology, and 2) functional connectivity of tau‐PET epicenters and tau‐PET accumulation epicenters was associated with cross‐sectional and longitudinal tau patterns. Result Tau‐PET epicenters—defined as the 5% brain regions with the highest tau load—aligned with clinical variants, e.g. a posterior pattern in PCA‐AD (“visual AD”) and left‐hemispheric temporal predominance in lvPPA‐AD (“language AD”) (Figure 1). More strongly functionally connected regions showed correlated concurrent tau‐PET levels, which was confirmed with post‐mortem data (Figure 2). Moreover, the connectivity profile of tau‐PET epicenters and accumulation epicenters corresponded to tau‐PET progression patterns (Figure 3). Conclusion 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 key driver of neurodegeneration and cognitive decline, this finding may advance personalized medicine and participant‐specific endpoints in clinical trials.
Superficial Cortical Aβ Clearance and ARIA Pathology in Aducanumab‐Treated Alzheimer's Disease
Boon, Baayla D.C., Piura, Yoav , Chalk, Jessica L , Lincoln, Sarah, Rutledge, Matthew H., Reichard, R. Ross, Graff‐Radford, Jonathan, Knopman, D S, Graff‐Radford, Neill R., Murray, Melissa E., Boon, Baayla D.C. , Moloney, Christina M. , Johnson, Derek R. , Dickson, Dennis W. , Nguyen, Aivi T. , Reichard, R. Ross , Graff‐Radford, Jonathan , Knopman, David S. , Graff‐Radford, Neill R. , Murray, Melissa E.

Alzheimer's & Dementia | December 25, 2025 | Volume: 21 | Issue: S1 | Pages: No page available

10.1002/alz70855_105890 Get It

Abstract Background Monoclonal antibodies targeting amyloid‐β (Aβ), including aducanumab, have been tested to treat Alzheimer's disease (AD). However, limited data exist on neuropathology following treatment and the effects of amyloid‐related imaging abnormalities (ARIA). We report on such data from five aducanumab‐treated study participants with AD of whom two experienced ARIA. Methods Aducanumab‐treated study participants who came to autopsy ( n = 5) were matched to AD controls ( n = 12) based on the presence/type of autosomal dominant AD mutation, APOE genotype, age at cognitive symptom onset, and sex. We assessed cognitive measures, 18 F‐florbetapir PET centiloid, ARIA risk factors, and AD neuropathologic change. Using multiplex immunofluorescence, brain regions affected along Thal Aβ phases were stained for Aβ isoforms and phosphorylated tau, as well as for ARIA‐associated markers, including Perls’ Prussian blue to detect ferric iron, fibrinogen‐α for blood brain barrier integrity, membrane attack complex (C5b‐C9) for complement activation, and activated microglia (IBA1, CD68). Results Study participants included four males and one female, all carrying at least one APOE ε4 allele. Two participants carried a PSEN1 NM_000021.4:c.817G>A , p.Glu273Lys mutation. Cumulative aducanumab dosage ranged between 5–241 mg/kg, with death occurring 5–41 months after the last infusion. Amyloid burden on PET declined in all participants (range 15‐100 centiloids). Two participants experienced ARIA. Compared to AD controls, Aβ aa1‐8 and Aβ 42 were selectively reduced in cortical layer I of aducanumab‐treated study participants ( p <0.05) but not in the total cortex, as shown for the middle frontal cortex in Figure 1. No differences were observed in phosphorylated tau burden. Prussian blue‐stained hemosiderin was present in both treated and untreated AD cases. However, in participants with ARIA, hemosiderin accumulated in superficial cortical layers near CAA‐laden meningeal and penetrating vessels, which also exhibited extensive complement and microglial activation (Figure 2). Conclusions Aβ clearance and ARIA‐related findings were localized predominantly in superficial cortical layers, suggesting that aducanumab biodistribution is more pronounced in these regions rather than deeper cortical layers.