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Franzmeier, Nicolai

0000-0001-9736-2283

Mayo Clinic

Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich 81377, Germany.

Citations 4

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.
Segregation of functional networks is associated with cognitive resilience in Alzheimer’s disease
Ewers, Michael , Luan, Ying , Frontzkowski, Lukas , Rubinski, Anna , Dichgans, Martin , Hassenstab, Jason , Gordon, Brian A. , Chhatwal, Jasmeer P. , Xiong, Chengjie , Morris, John C. , Goate, Alison , Fagan, Anne M. , Berman, Sarah , Chui, Helena C., Cruchaga, Carlos , Farlow, Marty, Graff‐Radford, Neill R. , Martins, Ralph N. , Mori, Hiroshi , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , O’Connor, Antoinette , Salloway, Stephen , Danek, Adrian , Büerger, Katharina , Bateman, Randall J. , Habeck, Christian , Network, for the Alzheimer’s Disease Neuroimaging Initiative and the Dominantly Inherited Alzheimer, Vöglein, Jonathan , Gordon, Brian A , O'Connor, Antoinette , Stern, Yaakov , Franzmeier, Nicolai , Dichgans, Martin , Cruchaga, Carlos , Bateman, Randall J , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Berman, Sarah , Neitzel, Julia , Schofield, Peter R. , Benzinger, Tammie L.S. , Karch, Celeste M. , McDade, Eric , Allegri, Ricardo , Chui, Helena C. , Jucker, Mathias , Lee, Jae‐Hong , Rossor, Martin N. , Stern, Yaakov , Franzmeier, Nicolai , Network, for the Alzheimer’s Disease Neuroimaging Initiative and the Dominantly Inherited Alzheimer

Brain | March 12, 2021 | Volume: 144 | Issue: 7 | Pages: 2176-2185

10.1093/brain/awab112 Get It

Abstract Cognitive resilience is an important modulating factor of cognitive decline in Alzheimer’s disease, but the functional brain mechanisms that support cognitive resilience remain elusive. Given previous findings in normal ageing, we tested the hypothesis that higher segregation of the brain’s connectome into distinct functional networks represents a functional mechanism underlying cognitive resilience in Alzheimer’s disease. Using resting-state functional MRI, we assessed both resting-state functional MRI global system segregation, i.e. the balance of between-network to within-network connectivity, and the alternate index of modularity Q as predictors of cognitive resilience. We performed all analyses in two independent samples for validation: (i) 108 individuals with autosomal dominantly inherited Alzheimer’s disease and 71 non-carrier controls; and (ii) 156 amyloid-PET-positive subjects across the spectrum of sporadic Alzheimer’s disease and 184 amyloid-negative controls. In the autosomal dominant Alzheimer’s disease sample, disease severity was assessed by estimated years from symptom onset. In the sporadic Alzheimer’s sample, disease stage was assessed by temporal lobe tau-PET (i.e. composite across Braak stage I and III regions). In both samples, we tested whether the effect of disease severity on cognition was attenuated at higher levels of functional network segregation. For autosomal dominant Alzheimer’s disease, we found higher functional MRI-assessed system segregation to be associated with an attenuated effect of estimated years from symptom onset on global cognition (P = 0.007). Similarly, for patients with sporadic Alzheimer’s disease, higher functional MRI-assessed system segregation was associated with less decrement in global cognition (P = 0.001) and episodic memory (P = 0.004) per unit increase of temporal lobe tau-PET. Confirmatory analyses using the alternate index of modularity Q revealed consistent results. In conclusion, higher segregation of functional connections into distinct large-scale networks supports cognitive resilience in Alzheimer’s disease.
Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance
Belleville, Sylvie , Cantilon, Marc, Chételat, Gaël , Ewers, Michael , Franzmeier, Nicolai , Kempermann, Gerd , Okonkwo, Ozioma C. , Scarmeas, Nikolaos , Soldan, Anja , Udeh‐Momoh, Chinedu , Vemuri, Prashanthi , Vuoksimaa, Eero , Workgroup, and the Reserve, Resilience and Protective Factors PIA Empirical Definitions and Conceptual Frameworks, Lim, Yen Ying , Ossenkoppele, Rik , Morbelli, Silvia , Clouston, Sean , Martínez‐Lage, Pablo , Arenaza-Urquijo, Eider M, Vemuri, Prashanthi , Clouston, Sean A P , Franzmeier, Nicolai , Ossenkoppele, Rik , Stern, Yaakov , Arenaza‐Urquijo, Eider M. , Bartrés‐Faz, David , Kremen, William S. , Valenzuela, Michael , Workgroup, and the Reserve, Resilience and Protective Factors PIA Empirical Definitions and Conceptual Frameworks

Alzheimer's & Dementia | September 15, 2018 | Volume: 16 | Issue: 9 | Pages: 1305-1311

10.1016/j.jalz.2018.07.219 Get It

Abstract Several concepts, which in the aggregate get might be used to account for “resilience” against age‐ and disease‐related changes, have been the subject of much research. These include brain reserve, cognitive reserve, and brain maintenance. However, different investigators have use these terms in different ways, and there has never been an attempt to arrive at consensus on the definition of these concepts. Furthermore, there has been confusion regarding the measurement of these constructs and the appropriate ways to apply them to research. Therefore the reserve, resilience, and protective factors professional interest area, established under the auspices of the Alzheimer's Association, established a whitepaper workgroup to develop consensus definitions for cognitive reserve, brain reserve, and brain maintenance. The workgroup also evaluated measures that have been used to implement these concepts in research settings and developed guidelines for research that explores or utilizes these concepts. The workgroup hopes that this whitepaper will form a reference point for researchers in this area and facilitate research by supplying a common language.