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Wolfram Hinzen

As seen in: PLOS ONE, JAMA Network
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Articles

Automated Speech-Based Modeling of Item-Level Symptom Severity in Schizophrenia

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By Silvia Ciampelli, Janna de Boer, Sanne Koops, Jan-Bernard C. Marsman, Arnout C. Smit, Philipp Homan, Wolfram Hinzen, Sunny Tang, Iris Sommer, Evan Troelstra, Almut Jebens, Amir Hossein Nikzad, Ryan Partlan
| JAMA Network Verified
Automated Speech-Based Modeling of Item-Level Symptom Severity in Schizophrenia Supplement 1. eAppendix 1. Inclusion Criteria eAppendix 2. Semistructured Interview eAppendix 3. Audio Processing and Feature Extraction (Dutch Cohort) eAppendix 4. Audio Processing and Feature Extraction (US Cohort) eAppendix 5. Robustness Analysis (Winsorization) eAppendix 6. Principal Components Analysis eAppendix 7. Effects of Demographics eAppendix 8. Individual Symptom Prediction Supplement 2. Figure 1.
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Grammar in ‘agrammatical’ aphasia: What’s intact?

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By Han Zhang, Wolfram Hinzen
| paperity.org
PLOS ONE, Dec 2022 This is a preview of a remote PDF: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0278676&type=printable Han Zhang, Wolfram Hinzen. , PLOS ONE, 2022, Volume 17, Issue 12, DOI: 10.1371/journal.pone.0278676
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Grammar in ‘agrammatical’ aphasia: What’s intact?

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By Han Zhang, Universitat Pompeu Fabra, Wolfram Hinzen
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Abstract Background Aphasia following cerebro-vascular accidents has been a primary source of insight for models of language in the brain. However, deviant language patterns in aphasia may reflect processing limitations and cognitive impairment more than language impairment per se.
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