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

Erstveröffentlichung
2017Authors
Bisenius, Sandrine
Mueller, Karsten
Diehl-Schmid, Janine
Fassbender, Klaus
Grimmer, Timo
Wissenschaftlicher Artikel
Published in
NeuroImage: Clinical ; 14 (2017). - S. 334-343. - ISSN 2213-1582
Link to publication
https://dx.doi.org/10.1016/j.nicl.2017.02.003Institutions
UKU. Klinik für NeurologieProject uulm
FTLDc / Verbundprojekt: Kompetenznetz Demenzen - FTLD: Teilprojekte der Universität Ulm / BMBF / 01GI1007A
Subject headings
[Free subject headings]: Grey matter | Multi-center | Primary progressive aphasia | Support vector machine classification | Whole brain approach | frontotemporal lobar degeneration | dimensional pattern-classification | mild cognitive impairment | voxel-based morphometry | alzheimers-disease | semantic dementia | brain atrophy | mci patients | diagnosis | prevalence[DDC subject group]: DDC 610 / Medicine & health