Title |
Mismatch Negativity and Cognitive Performance for the Prediction of Psychosis in Subjects with At-Risk Mental State
|
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Published in |
PLOS ONE, January 2013
|
DOI | 10.1371/journal.pone.0054080 |
Pubmed ID | |
Authors |
Yuko Higuchi, Tomiki Sumiyoshi, Tomonori Seo, Tomohiro Miyanishi, Yasuhiro Kawasaki, Michio Suzuki |
Abstract |
A shorter duration of untreated psychosis has been associated with better prognosis in schizophrenia. In this study, we measured the duration mismatch negativity (dMMN), an event-related potential, and cognitive performance in subjects with at-risk mental state (ARMS), patients with first-episode or chronic schizophrenia, and healthy volunteers. The main interest was to determine if these neurocognitive measures predict progression to overt schizophrenia in ARMS subjects. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Belgium | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 150 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 20% |
Student > Master | 23 | 15% |
Researcher | 22 | 14% |
Student > Bachelor | 14 | 9% |
Student > Postgraduate | 12 | 8% |
Other | 28 | 18% |
Unknown | 23 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 46 | 30% |
Medicine and Dentistry | 33 | 22% |
Neuroscience | 22 | 14% |
Agricultural and Biological Sciences | 4 | 3% |
Nursing and Health Professions | 3 | 2% |
Other | 12 | 8% |
Unknown | 33 | 22% |