Speech structure links the neural and socio-behavioural correlatesof psychotic disorders

Palaniyappan, Lena; Mota, Natália Bezerra; Oowise, Shamuz; Balain, Vijender; Copelli, Mauro; Ribeiro, Sidarta Tollendal Gomes; Liddle, Peter

Speech structure links the neural and socio-behavioural correlatesof psychotic disorders

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dc.contributor.author	Palaniyappan, Lena
dc.contributor.author	Mota, Natália Bezerra
dc.contributor.author	Oowise, Shamuz
dc.contributor.author	Balain, Vijender
dc.contributor.author	Copelli, Mauro
dc.contributor.author	Ribeiro, Sidarta Tollendal Gomes
dc.contributor.author	Liddle, Peter
dc.date.accessioned	2018-07-12T12:28:34Z
dc.date.available	2018-07-12T12:28:34Z
dc.date.issued	2018-07-08
dc.description.resumo	Background: A longstanding notion in the concept of psychosis is the prominence of loosened associative links in thought processes. Assessment of such subtle aspects of thought disorders has proved to be a challenging task in clinical practice and to date no surrogate markers exist that can reliably track the physiological effects of treatments that could reduce thought disorders. Recently, automated speech graph analysis has emerged as a promising means to reliably quantify structural speech disorganization. Methods: Using structural and functional imaging, we investigated the neural basis and the functional relevance of the structural connectedness of speech samples obtained from 56 patients with psychosis (22 with bipolar disorder, 34 with schizophrenia). Speech structure was assessed by non-semantic graph analysis. Results: We found a canonical correlation linking speech connectedness and i) functional as well as developmentally relevant structural brain markers (degree centrality from resting state functional imaging and cortical gyrification index) ii) psychometric evaluation of thought disorder iii) aspects of cognitive performance (processing speed deficits) and iv) functional outcome in patients. Of various clinical metrics, only speech connectedness was correlated with biological markers. Speech connectedness filled the dynamic range of responses better than psychometric measurements of thought disorder. Conclusions: The results provide novel evidence that speech dysconnectivity could emerge from neurodevelopmental deficits and associated dysconnectivity in psychosis.	pt_BR
dc.identifier.citation	PALANIYAPPAN, Lena; MOTA, Natália Bezerra; OOWISE, Shamuz; BALAIN, Vijender; COPELLI, Mauro; RIBEIRO, Sidarta; LIDDLE, Peter Liddle. Speech structure links theneural and socio-behavioural correlates of psychotic disorders. Pnp, jul., 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0278584618302975?via%3Dihub>. Acesso em: 12 jul. 2018.	pt_BR
dc.identifier.doi	doi:10.1016/j.pnpbp.2018.07.007
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/25588
dc.language	por	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	disorganisation	pt_BR
dc.subject	bipolar disorder	pt_BR
dc.subject	schizophrenia	pt_BR
dc.subject	thought disorder	pt_BR
dc.subject	gyrification	pt_BR
dc.subject	centrality	pt_BR
dc.subject	graph theory	pt_BR
dc.title	Speech structure links the neural and socio-behavioural correlatesof psychotic disorders	pt_BR
dc.type	article	pt_BR