• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2020 (10)
  • 
    Medium
  • 
    Type:
    
    • Article (10)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M.; Rumker, Laurie; Talkar, Tanya... In: Journal of Medical Internet Research (2020) BASE Show details 2 Using language processing and speech analysis for the identification of psychosis and other disorders Corcoran, Cheryl Mary; Cecchi, Guillermo In: Biol Psychiatry Cogn Neurosci Neuroimaging (2020) BASE Show details 3 Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion Mota, Natália Bezerra; Weissheimer, Janaina; Ribeiro, Marina... In: PLoS One (2020) BASE Show details 4 Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook Birnbaum, Michael L.; Norel, Raquel; Van Meter, Anna... In: NPJ Schizophr (2020) BASE Show details 5 Language as a Biomarker for Psychosis: A Natural Language Processing Approach Corcoran, Cheryl M.; Mittal, Vijay A.; Bearden, Carrie E.... In: Schizophr Res (2020) BASE Show details 6 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M; Rumker, Laurie; Talkar, Tanya... In: J Med Internet Res (2020) BASE Show details 7 Linguistic markers predict onset of Alzheimer's disease Eyigoz, Elif; Mathur, Sachin; Santamaria, Mar... In: EClinicalMedicine (2020) BASE Show details 8 Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing Agurto, Carla; Cecchi, Guillermo A.; Norel, Raquel. - : Springer International Publishing, 2020 BASE Show details 9 From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages Eyigoz, Elif; Courson, Melody; Sedeño, Lucas; Rogg, Katharina; Orozco-Arroyave, Juan Rafael; Nöth, Elmar; Skodda, Sabine; Trujillo, Natalia; Rodríguez, Mabel; Rusz, Jan; Muñoz, Edinson; Cardona, Juan F.; Herrera, Eduar; Hesse, Eugenia; Ibáñez, Agustín; Cecchi, Guillermo; García, Adolfo M. In: Cortex (2020) Abstract: Embodied cognition research on Parkinson’s disease (PD) points to disruptions of frontostriatal language functions as sensitive targets for clinical assessment. However, no existing approach has been tested for crosslinguistic validity, let alone by combining naturalistic tasks with machine-learning tools. To address these issues, we conducted the first classifier-based examination of morphological processing (a core frontostriatal function) in spontaneous monologues from PD patients across three typologically different languages. The study comprised 330 participants, encompassing speakers of Spanish (61 patients, 57 matched controls), German (88 patients, 88 matched controls), and Czech (20 patients, 16 matched controls). All subjects described the activities they perform during a regular day, and their monologues were automatically coded via morphological tagging, a computerized method that labels each word with a part-of-speech tag (e.g., noun, verb) and specific morphological tags (e.g., person, gender, number, tense). The ensuing data were subjected to machine-learning analyses to assess whether differential morphological patterns could classify between patients and controls and reflect the former’s degree of motor impairment. Results showed robust classification rates, with over 80% of patients being discriminated from controls in each language separately. Moreover, the most discriminative morphological features were associated with the patients’ motor compromise (as indicated by Pearson r correlations between predicted and collected motor impairment scores that ranged from moderate to moderate-to-strong across languages). Taken together, our results suggest that the morphological patterning, an embodied frontostriatal domain, may be distinctively affected in PD across languages and even under ecological testing conditions. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655620/ https://doi.org/10.1016/j.cortex.2020.08.020 http://www.ncbi.nlm.nih.gov/pubmed/32992069 BASE Hide details 10 The history of writing reflects the effects of education on discourse structure: implications for literacy, orality, psychosis and the axial age Pinheiro, Sylvia; Mota, Natália Bezerra; Sigman, Mariano. - : Elsevier, 2020 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 10 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0