Zobrazeno 1 - 2
of 2
pro vyhledávání: '"classification [Aphasia, Primary Progressive]"'
Autor:
Matthias L. Schroeter, Jolina Lombardi, Martin Lauer, Hans-Jürgen Huppertz, Johannes Prudlo, Anja Schneider, Jens Wiltfang, Jan Kassubek, Adrian Danek, Elisa Semler, Johannes Kornhuber, Holger Jahn, Bernhard Landwehrmeyer, I. Uttner, Benjamin Mayer, Klaus Fliessbach, Klaus Fassbender, Janine Diehl-Schmid, Albert C. Ludolph, Johannes Levin, Markus Otto, Sarah Anderl-Straub, Alexander E Volk
Publikováno v:
Alzheimer's and dementia 17(10), 1595-1609 (2021). doi:10.1002/alz.12323
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Introduction The term primary progressive aphasia (PPA) sums up the non‐fluent (nfv), the semantic (sv), and the logopenic (lv) variant. Up to now, there is only limited data available concerning magnetic resonance imaging volumetry to monitor dise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596e73edd77347c3afaf1e169645c477
Publikováno v:
Brain and language 174, 86-93 (2017). doi:10.1016/j.bandl.2017.08.001
Hoffman, P, Sajjadi, S A, Patterson, K & Nestor, P J 2017, ' Data-driven classification of patients with primary progressive aphasia ', Brain and Language, vol. 174, pp. 86-93 . https://doi.org/10.1016/j.bandl.2017.08.001
Brain and Language
Hoffman, P; Sajjadi, SA; Patterson, K; & Nestor, PJ. (2017). Data-driven classification of patients with primary progressive aphasia. BRAIN AND LANGUAGE, 174, 86-93. doi: 10.1016/j.bandl.2017.08.001. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5m4842c0
Hoffman, P, Sajjadi, S A, Patterson, K & Nestor, P J 2017, ' Data-driven classification of patients with primary progressive aphasia ', Brain and Language, vol. 174, pp. 86-93 . https://doi.org/10.1016/j.bandl.2017.08.001
Brain and Language
Hoffman, P; Sajjadi, SA; Patterson, K; & Nestor, PJ. (2017). Data-driven classification of patients with primary progressive aphasia. BRAIN AND LANGUAGE, 174, 86-93. doi: 10.1016/j.bandl.2017.08.001. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5m4842c0
Highlights • There is current controversy over how to classify PPA variants. • We used a k-means clustering algorithm, blind to diagnosis, to divide patients. • Patients grouped based on similarities in linguistic and neuropsychological profile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::fdadccc0b902364744025002a74ff27a
https://pub.dzne.de/record/139537
https://pub.dzne.de/record/139537