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Literature DB >> 33046332

Commentary on "Lower speech connectedness linked to incidence of psychosis in people at clinical high risk": The promise of graph theory and network neuroscience.

Cheryl M Corcoran¹.

Abstract

Entities: Chemical

Keywords: Artificial intelligence; Commentary; Language; Natural language processing; Schizophrenia; Ultra high risk

Mesh：

Year: 2020 PMID： 33046332 PMCID： PMC7987843 DOI： 10.1016/j.schres.2020.09.024

Source DB: PubMed Journal: Schizophr Res ISSN： 0920-9964 Impact factor: 4.939

× No keyword cloud information.

17 in total

1. Global organization of the Wordnet lexicon.

Authors: Mariano Sigman; Guillermo A Cecchi
Journal: Proc Natl Acad Sci U S A Date: 2002-02-05 Impact factor: 11.205

Review 2. Schizophrenia, neuroimaging and connectomics.

Authors: Alex Fornito; Andrew Zalesky; Christos Pantelis; Edward T Bullmore
Journal: Neuroimage Date: 2012-02-24 Impact factor: 6.556

3. Prediction of psychosis across protocols and risk cohorts using automated language analysis.

Authors: Cheryl M Corcoran; Facundo Carrillo; Diego Fernández-Slezak; Gillinder Bedi; Casimir Klim; Daniel C Javitt; Carrie E Bearden; Guillermo A Cecchi
Journal: World Psychiatry Date: 2018-02 Impact factor: 49.548

4. Neural network simulations, cortical connectivity, and schizophrenic psychosis.

Authors: R E Hoffman
Journal: MD Comput Date: 1997 May-Jun

5. The small world of human language.

Authors: R Ferrer I Cancho; R V Solé
Journal: Proc Biol Sci Date: 2001-11-07 Impact factor: 5.349

6. Functional network organization of the human brain.

Authors: Jonathan D Power; Alexander L Cohen; Steven M Nelson; Gagan S Wig; Kelly Anne Barnes; Jessica A Church; Alecia C Vogel; Timothy O Laumann; Fran M Miezin; Bradley L Schlaggar; Steven E Petersen
Journal: Neuron Date: 2011-11-17 Impact factor: 17.173

Review 7. Network neuroscience.

Authors: Danielle S Bassett; Olaf Sporns
Journal: Nat Neurosci Date: 2017-02-23 Impact factor: 24.884

Commentary on "Lower speech connectedness linked to incidence of psychosis in people at clinical high risk": The promise of graph theory and network neuroscience.

1. Global organization of the Wordnet lexicon.

Review 2. Schizophrenia, neuroimaging and connectomics.

3. Prediction of psychosis across protocols and risk cohorts using automated language analysis.

4. Neural network simulations, cortical connectivity, and schizophrenic psychosis.

5. The small world of human language.

6. Functional network organization of the human brain.

Review 7. Network neuroscience.

8. Speech graphs provide a quantitative measure of thought disorder in psychosis.

9. The maturation of speech structure in psychosis is resistant to formal education.

10. A machine learning approach to predicting psychosis using semantic density and latent content analysis.

1. Reading and writing habits compensate for aging effects in speech connectedness.