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Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.

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第一作者： Sandrine,Bisenius

第一单位： Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, University Hospital Leipzig, Germany.

作者： Sandrine,Bisenius ^[1] ; Karsten,Mueller ^[1] ; Janine,Diehl-Schmid ^[2] ; Klaus,Fassbender ^[3] ; Timo,Grimmer ^[2] ; Frank,Jessen ^[4] ; Jan,Kassubek ^[5] ; Johannes,Kornhuber ^[6] ; Bernhard,Landwehrmeyer ^[5] ; Albert,Ludolph ^[5] ; Anja,Schneider ^[7] ; Sarah,Anderl-Straub ^[5] ; Katharina,Stuke ^[1] ; Adrian,Danek ^[8] ; Markus,Otto ^[5] ; Matthias L,Schroeter ^[1] ; FTLDc study group

作者单位： Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, University Hospital Leipzig, Germany. ^[1] Clinic and Polyclinic for Psychiatry & Psychotherapy, Technical University Munich, Germany. ^[2] Clinic and Polyclinic for Neurology, Saarland University Homburg, Germany. ^[3] Clinic and Polyclinic for Psychiatry and Psychotherapy, University of Bonn, Germany. ^[4] Department of Neurology, University of Ulm, Germany. ^[5] Clinic for Psychiatry and Psychotherapy, Friedrich-Alexander University Erlangen-Nuremberg, Germany. ^[6] Clinic for Psychiatry and Psychotherapy, University of Goettingen, Germany. ^[7] Clinic of Neurology, Ludwig Maximilian University of Munich, Germany. ^[8]

关键词 Grey matter Multi-center Primary progressive aphasia Support vector machine classification Whole brain approach