% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Rauchmann:278909,
      author       = {Rauchmann, Boris-Stephan and Ersözlü, Ersin and Luedecke,
                      Dorothea and Franzmeier, Nicolai and Perneczky, Robert},
      title        = {{M}ultimodal and longitudinal characterization of distinct
                      tau and atrophy clusters in {A}lzheimer's disease spectrum.},
      journal      = {Scientific reports},
      volume       = {15},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {DZNE-2025-00635},
      pages        = {18142},
      year         = {2025},
      abstract     = {Neuropathological and neuroimaging studies have identified
                      several (endo-)phenotypes of Alzheimer's disease (AD),
                      suggesting a substantial heterogeneity in cerebral atrophy
                      and tau spreading patterns. We included in our study a total
                      of 320 participants, including healthy controls (N = 154)
                      and patients across the AD spectrum (N = 166). We identified
                      clusters of cerebral atrophy and tau PET uptake using a
                      data-driven and similarity-based clustering approach, aiming
                      to examine regional abnormality patterns in both modalities
                      and differences in the clinical, cognitive, and biomarker
                      characteristics among derived clusters. Abnormality patterns
                      in tau PET and T1-weighted MRI within the same individuals
                      revealed four distinct clusters for each imaging modality as
                      surrogate markers of tau and neurodegeneration,
                      respectively. The tau PET and atrophy clusters mainly showed
                      substantial differences in their clustering allocations.
                      While having the most severe biomarkers burden, the left
                      temporal tau and diffuse atrophy clusters revealed the
                      fastest clinical progression and steepest increase in tau
                      PET uptake. Moreover, the diffuse atrophy cluster showed the
                      fastest cortical volume loss, followed by the
                      limbic-predominant atrophy cluster. Our results suggest
                      characteristic differences between tau PET and atrophy
                      clusters, especially for tau PET clusters, revealing more
                      pronounced differences in cognitive profiles and disease
                      biomarker trajectories than atrophy clusters.},
      keywords     = {Humans / Alzheimer Disease: diagnostic imaging / Alzheimer
                      Disease: metabolism / Alzheimer Disease: pathology / tau
                      Proteins: metabolism / Male / Female / Atrophy / Aged /
                      Positron-Emission Tomography / Magnetic Resonance Imaging /
                      Biomarkers: metabolism / Longitudinal Studies / Middle Aged
                      / Neuroimaging / Disease Progression / Brain: pathology /
                      Brain: diagnostic imaging / Brain: metabolism / Aged, 80 and
                      over / Cluster Analysis / Cognitive decline and dementia
                      (Other) / Phenotypical heterogeneity (Other) / Precision
                      medicine (Other) / Similarity-based Louvain clustering
                      (Other) / tau Proteins (NLM Chemicals) / Biomarkers (NLM
                      Chemicals)},
      cin          = {AG Dichgans / AG Simons / AG Dirnagl},
      ddc          = {600},
      cid          = {I:(DE-2719)5000022 / I:(DE-2719)1110008 /
                      I:(DE-2719)1810002},
      pnm          = {353 - Clinical and Health Care Research (POF4-353) / 351 -
                      Brain Function (POF4-351)},
      pid          = {G:(DE-HGF)POF4-353 / G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40415101},
      pmc          = {pmc:PMC12104337},
      doi          = {10.1038/s41598-025-98338-9},
      url          = {https://pub.dzne.de/record/278909},
}