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Electrophysiological and Neuropsychological Predictors of Conversion to Schizophrenia in At-Risk Subjects

Overview of attention for article published in Frontiers in Behavioral Neuroscience, January 2013
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Title
Electrophysiological and Neuropsychological Predictors of Conversion to Schizophrenia in At-Risk Subjects
Published in
Frontiers in Behavioral Neuroscience, January 2013
DOI 10.3389/fnbeh.2013.00148
Pubmed ID
Authors

Tomiki Sumiyoshi, Tomohiro Miyanishi, Tomonori Seo, Yuko Higuchi

Abstract

Patients with schizophrenia show neurophysiological and psychological disturbances before the onset of the illness. Mismatch negativity (MMN), an event-related potential, has been shown to be associated with cognitive function. Specifically, duration MMN (dMMN) amplitudes have been indicated to predict progression to overt schizophrenia in subjects with at-risk mental state. The aim of this article is to provide a hypothesis that a combined assessment of dMMN and neuropsychological performance would enhance accuracy for predicting conversion to schizophrenia in at-risk subjects. Data from these neurocognitive modalities in subjects with first-episode schizophrenia (FES) are also presented. There is accumulated evidence that converters to schizophrenia among at-risk subjects show significantly smaller dMMN amplitudes than those in healthy control (HC) subjects at the frontal lead before the onset. In fact, the amplitudes in these converters have been reported to be similar to those in FES to begin with. dMMN current source density, by means of low-resolution brain electromagnetic tomography, was significantly lower in FES than HC subjects, especially in some medial temporal regions which are implicated in the pathophysiology of schizophrenia. Importantly, dMMN current density in the frontal lobe was positively correlated with working memory performance in FES subjects. These findings indicate the utility of the combination of electrophysiological/neuropsychological assessments for early intervention into patients with schizophrenia and high-risk people.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Postgraduate 8 14%
Student > Ph. D. Student 7 12%
Student > Master 6 10%
Student > Bachelor 6 10%
Other 10 17%
Unknown 12 21%
Readers by discipline Count As %
Medicine and Dentistry 15 26%
Psychology 15 26%
Neuroscience 5 9%
Agricultural and Biological Sciences 2 3%
Engineering 2 3%
Other 3 5%
Unknown 16 28%