Title |
Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
|
---|---|
Published in |
PLOS ONE, April 2012
|
DOI | 10.1371/journal.pone.0034928 |
Pubmed ID | |
Authors |
Natalia B. Mota, Nivaldo A. P. Vasconcelos, Nathalia Lemos, Ana C. Pieretti, Osame Kinouchi, Guillermo A. Cecchi, Mauro Copelli, Sidarta Ribeiro |
Abstract |
Psychosis has various causes, including mania and schizophrenia. Since the differential diagnosis of psychosis is exclusively based on subjective assessments of oral interviews with patients, an objective quantification of the speech disturbances that characterize mania and schizophrenia is in order. In principle, such quantification could be achieved by the analysis of speech graphs. A graph represents a network with nodes connected by edges; in speech graphs, nodes correspond to words and edges correspond to semantic and grammatical relationships. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Egypt | 2 | 18% |
United States | 2 | 18% |
Mexico | 1 | 9% |
Brazil | 1 | 9% |
Germany | 1 | 9% |
Chile | 1 | 9% |
Canada | 1 | 9% |
Unknown | 2 | 18% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Scientists | 2 | 18% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 4 | 1% |
United Kingdom | 2 | <1% |
Argentina | 1 | <1% |
United States | 1 | <1% |
Unknown | 313 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 45 | 14% |
Student > Master | 44 | 14% |
Student > Ph. D. Student | 42 | 13% |
Student > Bachelor | 36 | 11% |
Professor > Associate Professor | 17 | 5% |
Other | 60 | 19% |
Unknown | 77 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 45 | 14% |
Medicine and Dentistry | 44 | 14% |
Neuroscience | 44 | 14% |
Agricultural and Biological Sciences | 23 | 7% |
Computer Science | 17 | 5% |
Other | 56 | 17% |
Unknown | 92 | 29% |