{"entity": "researcher", "timestamp": "2026-08-15T12:29:14.494Z", "family": "Ewers", "given": "Michael", "initials": "M", "orcid": "0000-0001-5231-1714", "affiliations": ["Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany. Michael.Ewers@med.uni-muenchen.de."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/d2368c66c8ea44e4a04f798487a6242a.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/d2368c66c8ea44e4a04f798487a6242a"}}, "publications": [{"entity": "publication", "iuid": "ca4e877fc2674394b71d586581237b4d", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/ca4e877fc2674394b71d586581237b4d.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/ca4e877fc2674394b71d586581237b4d"}}, "title": "A generalizable data-driven model of atrophy heterogeneity and progression in memory clinic settings.", "authors": [{"family": "Baumeister", "given": "Hannah", "initials": "H", "orcid": "0000-0001-5503-6308", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/302449c1b3f840e196daf1c8a17c6fa2.json"}}, {"family": "Vogel", "given": "Jacob W", "initials": "JW", "orcid": "0000-0001-6394-9940", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d2ad5af780c245da9b59a8c80a0b00ff.json"}}, {"family": "Insel", "given": "Philip S", "initials": "PS", "orcid": "0000-0002-6270-5490", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/74882821894141eda7f061a520925d4e.json"}}, {"family": "Kleineidam", "given": "Luca", "initials": "L"}, {"family": "Wolfsgruber", "given": "Steffen", "initials": "S"}, {"family": "Stark", "given": "Melina", "initials": "M"}, {"family": "Gellersen", "given": "Helena M", "initials": "HM"}, {"family": "Yakupov", "given": "Renat", "initials": "R", "orcid": "0000-0002-3868-284X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/30f21cde956f4e3da51f71770efcb8d3.json"}}, {"family": "Schmid", "given": "Matthias C", "initials": "MC"}, {"family": "L\u00fcsebrink", "given": "Falk", "initials": "F"}, {"family": "Brosseron", "given": "Frederic", "initials": "F"}, {"family": "Ziegler", "given": "Gabriel", "initials": "G"}, {"family": "Freiesleben", "given": "Silka D", "initials": "SD"}, {"family": "Preis", "given": "Lukas", "initials": "L"}, {"family": "Schneider", "given": "Luisa-Sophie", "initials": "LS"}, {"family": "Spruth", "given": "Eike J", "initials": "EJ"}, {"family": "Altenstein", "given": "Slawek", "initials": "S"}, {"family": "Lohse", "given": "Andrea", "initials": "A"}, {"family": "Fliessbach", "given": "Klaus", "initials": "K"}, {"family": "Vogt", "given": "Ina R", "initials": "IR"}, {"family": "Bartels", "given": "Claudia", "initials": "C"}, {"family": "Schott", "given": "Bj\u00f6rn H", "initials": "BH", "orcid": "0000-0002-8237-4481", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/231a7bad31c74f6f822c89c59872768b.json"}}, {"family": "Rostamzadeh", "given": "Ayda", "initials": "A"}, {"family": "Glanz", "given": "Wenzel", "initials": "W"}, {"family": "Incesoy", "given": "Enise I", "initials": "EI"}, {"family": "Butryn", "given": "Michaela", "initials": "M"}, {"family": "Janowitz", "given": "Daniel", "initials": "D"}, {"family": "Rauchmann", "given": "Boris-Stephan", "initials": "BS"}, {"family": "Kilimann", "given": "Ingo", "initials": "I"}, {"family": "Goerss", "given": "Doreen", "initials": "D"}, {"family": "Munk", "given": "Matthias H", "initials": "MH"}, {"family": "Hetzer", "given": "Stefan", "initials": "S"}, {"family": "Dechent", "given": "Peter", "initials": "P"}, {"family": "Ewers", "given": "Michael", "initials": "M", "orcid": "0000-0001-5231-1714", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d2368c66c8ea44e4a04f798487a6242a.json"}}, {"family": "Scheffler", "given": "Klaus", "initials": "K"}, {"family": "Wuestefeld", "given": "Anika", "initials": "A"}, {"family": "Strandberg", "given": "Olof", "initials": "O"}, {"family": "van Westen", "given": "Danielle", "initials": "D", "orcid": "0000-0001-8649-9874", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/38afd81dca574f4a9884a1ce97b78e50.json"}}, {"family": "Mattsson-Carlgren", "given": "Niklas", "initials": "N", "orcid": "0000-0002-8885-7724", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/bb26ae59b2a04f369c5ebc2f2375195a.json"}}, {"family": "Janelidze", "given": "Shorena", "initials": "S"}, {"family": "Stomrud", "given": "Erik", "initials": "E"}, {"family": "Palmqvist", "given": "Sebastian", "initials": "S", "orcid": "0000-0002-9267-1930", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6fbd05e87cfb4057a1a7e41d9fb94aef.json"}}, {"family": "Spottke", "given": "Annika", "initials": "A"}, {"family": "Laske", "given": "Christoph", "initials": "C"}, {"family": "Teipel", "given": "Stefan", "initials": "S", "orcid": "0000-0002-3586-3194", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/e9b449fbff504b1484eaac2bb2fb1252.json"}}, {"family": "Perneczky", "given": "Robert", "initials": "R"}, {"family": "Buerger", "given": "Katharina", "initials": "K"}, {"family": "Schneider", "given": "Anja", "initials": "A"}, {"family": "Priller", "given": "Josef", "initials": "J"}, {"family": "Peters", "given": "Oliver", "initials": "O"}, {"family": "Ramirez", "given": "Alfredo", "initials": "A", "orcid": "0000-0003-4991-763X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/da390d70e47a4b4883f4221fe96148b4.json"}}, {"family": "Wiltfang", "given": "Jens", "initials": "J"}, {"family": "Heneka", "given": "Michael T", "initials": "MT"}, {"family": "Wagner", "given": "Michael", "initials": "M"}, {"family": "D\u00fczel", "given": "Emrah", "initials": "E", "orcid": "0000-0002-0139-5388", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/83a4ff611c18448295e1e6d449d8c8fc.json"}}, {"family": "Jessen", "given": "Frank", "initials": "F"}, {"family": "Hansson", "given": "Oskar", "initials": "O", "orcid": "0000-0001-8467-7286", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9292115deece4d9fafc8a02d4a430707.json"}}, {"family": "Berron", "given": "David", "initials": "D", "orcid": "0000-0003-1558-1883", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7a3f4829ce644c23a65a4c13359f17fe.json"}}], "type": "journal article", "published": "2024-07-05", "journal": {"title": "Brain", "issn": "1460-2156", "volume": "147", "issue": "7", "pages": "2400-2413", "issn-l": "0006-8950"}, "abstract": "Memory clinic patients are a heterogeneous population representing various aetiologies of pathological ageing. It is not known whether divergent spatiotemporal progression patterns of brain atrophy, as previously described in Alzheimer's disease patients, are prevalent and clinically meaningful in this group of older adults. To uncover distinct atrophy subtypes, we applied the Subtype and Stage Inference (SuStaIn) algorithm to baseline structural MRI data from 813 participants enrolled in the DELCODE cohort (mean \u00b1 standard deviation, age = 70.67 \u00b1 6.07 years, 52% females). Participants were cognitively unimpaired (n = 285) or fulfilled diagnostic criteria for subjective cognitive decline (n = 342), mild cognitive impairment (n = 118) or dementia of the Alzheimer's type (n = 68). Atrophy subtypes were compared in baseline demographics, fluid Alzheimer's disease biomarker levels, the Preclinical Alzheimer Cognitive Composite (PACC-5) as well as episodic memory and executive functioning. PACC-5 trajectories over up to 240 weeks were examined. To test whether baseline atrophy subtype and stage predicted clinical trajectories before manifest cognitive impairment, we analysed PACC-5 trajectories and mild cognitive impairment conversion rates of cognitively unimpaired participants and those with subjective cognitive decline. Limbic-predominant and hippocampal-sparing atrophy subtypes were identified. Limbic-predominant atrophy initially affected the medial temporal lobes, followed by further temporal regions and, finally, the remaining cortical regions. At baseline, this subtype was related to older age, more pathological Alzheimer's disease biomarker levels, APOE \u03b54 carriership and an amnestic cognitive impairment. Hippocampal-sparing atrophy initially occurred outside the temporal lobe, with the medial temporal lobe spared up to advanced atrophy stages. This atrophy pattern also affected individuals with positive Alzheimer's disease biomarkers and was associated with more generalized cognitive impairment. Limbic-predominant atrophy, in all participants and in only unimpaired participants, was linked to more negative longitudinal PACC-5 slopes than observed in participants without or with hippocampal-sparing atrophy and increased the risk of mild cognitive impairment conversion. SuStaIn modelling was repeated in a sample from the Swedish BioFINDER-2 cohort. Highly similar atrophy progression patterns and associated cognitive profiles were identified. Cross-cohort model generalizability, at both the subject and the group level, was excellent, indicating reliable performance in previously unseen data. The proposed model is a promising tool for capturing heterogeneity among older adults at early at-risk states for Alzheimer's disease in applied settings. The implementation of atrophy subtype- and stage-specific end points might increase the statistical power of pharmacological trials targeting early Alzheimer's disease.", "doi": "10.1093/brain/awae118", "pmid": "38654513", "labels": {"Jacob W Vogel": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC11224599"}, {"db": "pii", "key": "7657064"}], "notes": [], "created": "2025-03-19T11:17:08.204Z", "modified": "2025-03-19T11:19:16.050Z"}, {"entity": "publication", "iuid": "244e55a1fe3f4cc689483a2f4bbe8d29", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/244e55a1fe3f4cc689483a2f4bbe8d29.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/244e55a1fe3f4cc689483a2f4bbe8d29"}}, "title": "Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.", "authors": [{"family": "Vogel", "given": "Jacob W", "initials": "JW"}, {"family": "Corriveau-Lecavalier", "given": "Nick", "initials": "N", "orcid": "0000-0002-6561-9870", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/61f1bca2c0d64bc4927b2d7ed4f75139.json"}}, {"family": "Franzmeier", "given": "Nicolai", "initials": "N", "orcid": "0000-0001-9736-2283", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/55b52b106c0c45ea8da2d14f52588fb3.json"}}, {"family": "Pereira", "given": "Joana B", "initials": "JB"}, {"family": "Brown", "given": "Jesse A", "initials": "JA"}, {"family": "Maass", "given": "Anne", "initials": "A"}, {"family": "Botha", "given": "Hugo", "initials": "H"}, {"family": "Seeley", "given": "William W", "initials": "WW"}, {"family": "Bassett", "given": "Dani S", "initials": "DS", "orcid": "0000-0002-6183-4493", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1df60e7e90a942ffb8e97713221f7f5e.json"}}, {"family": "Jones", "given": "David T", "initials": "DT", "orcid": "0000-0002-4807-9833", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/dcc287a740324b4cbe89fdcd0c6dba04.json"}}, {"family": "Ewers", "given": "Michael", "initials": "M", "orcid": "0000-0001-5231-1714", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d2368c66c8ea44e4a04f798487a6242a.json"}}], "type": "journal article", "published": "2023-10-00", "journal": {"title": "Nat Rev Neurosci", "issn": "1471-0048", "issn-l": null, "volume": "24", "issue": "10", "pages": "620-639"}, "abstract": "Neurodegenerative diseases are the most common cause of dementia. Although their underlying molecular pathologies have been identified, there is substantial heterogeneity in the patterns of progressive brain alterations across and within these diseases. Recent advances in neuroimaging methods have revealed that pathological proteins accumulate along specific macroscale brain networks, implicating the network architecture of the brain in the system-level pathophysiology of neurodegenerative diseases. However, the extent to which 'network-based neurodegeneration' applies across the wide range of neurodegenerative disorders remains unclear. Here, we discuss the state-of-the-art of neuroimaging-based connectomics for the mapping and prediction of neurodegenerative processes. We review findings supporting brain networks as passive conduits through which pathological proteins spread. As an alternative view, we also discuss complementary work suggesting that network alterations actively modulate the spreading of pathological proteins between connected brain regions. We conclude this Perspective by proposing an integrative framework in which connectome-based models can be advanced along three dimensions of innovation: incorporating parameters that modulate propagation behaviour on the basis of measurable biological features; building patient-tailored models that use individual-level information and allowing model parameters to interact dynamically over time. We discuss promises and pitfalls of these strategies for improving disease insights and moving towards precision medicine.", "doi": "10.1038/s41583-023-00731-8", "pmid": "37620599", "labels": {"Jacob W Vogel": null, "DDLS Fellow": null}, "xrefs": [{"db": "pii", "key": "10.1038/s41583-023-00731-8"}], "notes": [], "created": "2023-10-25T16:52:17.842Z", "modified": "2023-11-29T06:41:38.564Z"}]}