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Tideman, Pontus

https://orcid.org/0000-0002-9620-7115

Mayo Clinic

Lund University

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

Brain | August 8, 2025 | Volume: 148 | Issue: 11 | Pages: 3893-3912

10.1093/brain/awaf279 Get It

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 epicentres. 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, multicentre 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 modelling 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 functional MRI-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 epicentres (i.e. the top 5% of regions with the highest baseline tau load) and tau-PET accumulation epicentres (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 epicentres 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 epicentres and accumulation epicentres 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 epicentres, 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 end points in clinical trials.