@misc{VoigtZimmermannStierLascheitetal.2019,
  author    = {Voigt-Zimmermann, Susanne and Stier, Karl-Heinz and Lascheit, Thomas and Kruse, Stephanie A. and Blickensdorff, Maria and F{\"o}rster, Theresa and Schumacher, Rebecca and Burchert, Frank and Ablinger, Irene and F{\"o}rster, Christine and Wahl, Michael and Schirmacher, Irene and Ostermann, Frank and Welke, Lisa-Marie and Frank, Ulrike and Zakari{\´a}s, Lilla and Salis, Christos and Wartenburger, Isabell and Krug, Ragna and St{\"u}bner, Hanna and Hoffmann, Sophie and Heide, Judith},
  title     = {Spektrum Patholinguistik Band 11. Schwerpunktthema: Gut gestimmt: Diagnostik und Therapie bei Dysphonie},
  number    = {11},
  editor    = {Fritzsche, Tom and Yetim, {\"O}zlem and Otto, Constanze and Adelt, Anne},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-448-7},
  issn      = {1866-9085},
  doi       = {10.25932/publishup-41857},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-418574},
  pages     = {142},
  year      = {2019},
  abstract  = {Das 11. Herbsttreffen Patholinguistik mit dem Schwerpunktthema »Gut gestimmt: Diagnostik und Therapie bei Dysphonie« fand am 18.11.2017 in Potsdam statt. Das Herbsttreffen wird seit 2007 j{\"a}hrlich vom Verband f{\"u}r Patholinguistik e.V. (vpl) durchgef{\"u}hrt. Der vorliegende Tagungsband beinhaltet die Hauptvortr{\"a}ge zum Schwerpunktthema sowie Beitr{\"a}ge zu den Kurzvortr{\"a}gen »Spektrum Patholinguistik« und der Posterpr{\"a}sentationen zu weiteren Themen aus der sprachtherapeutischen Forschung und Praxis.},
  language  = {de}
}
@article{ZakariasSalisWartenburger2019,
  author    = {Zakari{\´a}s, Lilla and Salis, Christos and Wartenburger, Isabell},
  title     = {Transfereffekte nach Arbeitsged{\"a}chtnistraining bei Aphasie},
  series = {Spektrum Patholinguistik},
  journal   = {Spektrum Patholinguistik},
  number    = {11},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-448-7},
  issn      = {1866-9085},
  doi       = {10.25932/publishup-43779},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437799},
  pages     = {131 -- 133},
  year      = {2019},
  language  = {de}
}
@article{ZakariasSalisWartenburger2018,
  author    = {Zakarias, Lilla and Salis, Christos and Wartenburger, Isabell},
  title     = {Transfer effects on spoken sentence comprehension and functional communication after working memory training in stroke aphasia},
  series = {Journal of neurolinguistics : an international journal for the study of brain function in language behavior and experience},
  volume    = {48},
  journal   = {Journal of neurolinguistics : an international journal for the study of brain function in language behavior and experience},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0911-6044},
  doi       = {10.1016/j.jneuroling.2017.12.002},
  pages     = {47 -- 63},
  year      = {2018},
  abstract  = {Recent treatment protocols have been successful in improving working memory (WM) in individuals with aphasia. However, the evidence to date is small and the extent to which improvements in trained tasks of WM transfer to untrained memory tasks, spoken sentence comprehension, and functional communication is yet poorly understood. To address these issues, we conducted a multiple baseline study with three German-speaking individuals with chronic post stroke aphasia. Participants practised two computerised WM tasks (n-back with pictures and aback with spoken words) four times a week for a month, targeting two WM processes: updating WM representations and resolving interference. All participants showed improvement on at least one measure of spoken sentence comprehension and everyday memory activities. Two of them showed improvement also on measures of WM and functional communication. Our results suggest that WM can be improved through computerised training in chronic aphasia and this can transfer to spoken sentence comprehension and functional communication in some individuals.},
  language  = {en}
}