Commentary on "Lower speech connectedness linked to incidence of psychosis in people at clinical high risk": The promise of graph theory and network neuroscience.
作者信息
Corcoran Cheryl M
机构信息
Icahn School of Medicine at Mount Sinai, United States of America.
出版信息
Schizophr Res. 2021 Feb;228:481-482. doi: 10.1016/j.schres.2020.09.024. Epub 2020 Oct 9.
Abstract
摘要
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Lower speech connectedness linked to incidence of psychosis in people at clinical high risk.
Schizophr Res. 2021 Feb;228:493-501. doi: 10.1016/j.schres.2020.09.002. Epub 2020 Sep 18.
2
A machine learning approach to predicting psychosis using semantic density and latent content analysis.
NPJ Schizophr. 2019 Jun 13;5(1):9. doi: 10.1038/s41537-019-0077-9.
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The maturation of speech structure in psychosis is resistant to formal education.
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Speech structure links the neural and socio-behavioural correlates of psychotic disorders.
Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jan 10;88:112-120. doi: 10.1016/j.pnpbp.2018.07.007. Epub 2018 Jul 11.
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Prediction of psychosis across protocols and risk cohorts using automated language analysis.
World Psychiatry. 2018 Feb;17(1):67-75. doi: 10.1002/wps.20491.
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Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance.
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Network neuroscience.
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Automated analysis of free speech predicts psychosis onset in high-risk youths.
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Coupled neural systems underlie the production and comprehension of naturalistic narrative speech.
Proc Natl Acad Sci U S A. 2014 Oct 28;111(43):E4687-96. doi: 10.1073/pnas.1323812111. Epub 2014 Sep 29.
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