@misc{TanDueringWildeetal.2023, author = {Tan, Sarah and D{\"u}ring, Sarah and Wilde, Alina and Hamburger, Lara and Fritzsche, Tom and Felsing, Ulrike and Lauer, Norina and Corsten, Sabine and Ostermann, Frank and Nonn, Kerstin and Nerz, Verena and Neumann, Sandra and Zauke, Svenja and Sandrieser, Patricia and Steinberg, Romy Simone and Thurmann, Anika and D{\"o}rr, Fiona and Bilda, Kerstin and Kluth, Alicia and Lemire-Tremblay, Marilyne and Jamey, Kevin and Dalla Bella, Simone and Falk, Simone and Kleing{\"u}nther, Constanze and Gabler, Katrin and Elligsen, Chiara and Weiland, Katharina and Wiehe, Lea and Wahl, Michael and Binczyk, Sarah and Staebel, Cornelia and Jung, Stefanie and Eikerling, Maren and Czok, Clara and Sallat, Stephan and Collasius, Valerie and Grahovac, Tena}, title = {Spektrum Patholinguistik Band 16. Schwerpunktthema: Schnittstelle Alltag: Transfer und Teilhabe in der Sprachtherapie}, number = {16}, editor = {Tan, Sarah and D{\"u}ring, Sarah and Wilde, Alina and Hamburger, Lara and Fritzsche, Tom}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, isbn = {978-3-86956-559-0}, issn = {1866-9433}, doi = {10.25932/publishup-59043}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-590433}, pages = {viii, 234}, year = {2023}, abstract = {Das 16. Herbsttreffen Patholinguistik mit dem Schwerpunktthema »Schnittstelle Alltag: Transfer und Teilhabe in der Sprachtherapie« fand am 19.11.2022 als Online-Veranstaltung statt. Das Herbsttreffen wird seit 2007 j{\"a}hrlich vom Verband f{\"u}r Patholinguistik e.V. (vpl), seit 2021 vom Deutschen Bundesverband f{\"u}r akademische Sprachtherapie und Logop{\"a}die (dbs) in Kooperation mit der Universit{\"a}t Potsdam durchgef{\"u}hrt. Der vorliegende Tagungsband beinhaltet die Vortr{\"a}ge zum Schwerpunktthema sowie die Posterpr{\"a}sentationen zu weiteren Themen aus der sprachtherapeutischen Forschung und Praxis.}, language = {de} } @article{StoneNicenboimVasishthetal.2023, author = {Stone, Kate and Nicenboim, Bruno and Vasishth, Shravan and R{\"o}sler, Frank}, title = {Understanding the effects of constraint and predictability in ERP}, series = {Neurobiology of language}, volume = {4}, journal = {Neurobiology of language}, number = {2}, publisher = {MIT Press}, address = {Cambridge, MA, USA}, issn = {2641-4368}, doi = {10.1162/nol_a_00094}, pages = {221 -- 256}, year = {2023}, abstract = {Intuitively, strongly constraining contexts should lead to stronger probabilistic representations of sentences in memory. Encountering unexpected words could therefore be expected to trigger costlier shifts in these representations than expected words. However, psycholinguistic measures commonly used to study probabilistic processing, such as the N400 event-related potential (ERP) component, are sensitive to word predictability but not to contextual constraint. Some research suggests that constraint-related processing cost may be measurable via an ERP positivity following the N400, known as the anterior post-N400 positivity (PNP). The PNP is argued to reflect update of a sentence representation and to be distinct from the posterior P600, which reflects conflict detection and reanalysis. However, constraint-related PNP findings are inconsistent. We sought to conceptually replicate Federmeier et al. (2007) and Kuperberg et al. (2020), who observed that the PNP, but not the N400 or the P600, was affected by constraint at unexpected but plausible words. Using a pre-registered design and statistical approach maximising power, we demonstrated a dissociated effect of predictability and constraint: strong evidence for predictability but not constraint in the N400 window, and strong evidence for constraint but not predictability in the later window. However, the constraint effect was consistent with a P600 and not a PNP, suggesting increased conflict between a strong representation and unexpected input rather than greater update of the representation. We conclude that either a simple strong/weak constraint design is not always sufficient to elicit the PNP, or that previous PNP constraint findings could be an artifact of smaller sample size.}, language = {en} }