| Literature DB >> 31207864 |
Terje B Holmlund1, Jian Cheng2, Peter W Foltz3, Alex S Cohen4, Brita Elvevåg5.
Abstract
Evaluating patients' verbal fluency by counting the number of unique words (e.g., animals) produced in a short-period (e.g., 1-3 min) is one of the most widely employed cognitive tests in psychiatric research. We introduce new methods to analyze fluency output that leverage modern computational language technology. This enables moving beyond simple word counts to charting the temporal dynamics of speech and objectively quantifying the semantic relationship of the utterances. These metrics can greatly expand the current psychiatric research toolkit and can help refine clinical theories regarding the nature of putative language differences in patients.Entities:
Year: 2019 PMID: 31207864 DOI: 10.1016/j.psychres.2019.02.014
Source DB: PubMed Journal: Psychiatry Res ISSN: 0165-1781 Impact factor: 3.222