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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Speech structure links the neural and socio-behavioural correlates of psychotic disorders

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Author(s):
Palaniyappan, Lena [1] ; Mota, Natalia Bezerra [2, 3] ; Oowise, Shamuz [4] ; Balain, Vijender [5] ; Copelli, Mauro [2] ; Ribeiro, Sidarta [3] ; Liddle, Peter F. [6, 7]
Total Authors: 7
Affiliation:
[1] Univ Western Ontario, Lawson Hlth Res Inst, Robarts Res Inst, Dept Psychiat, London, ON - Canada
[2] Fed Univ Pernambuco UFPE, Phys Dept, Recife, PE - Brazil
[3] Fed Univ Rio Grande do Norte UFRN, Brain Inst, Natal, RN - Brazil
[4] Justice & Forens Mental Hlth Network, Forens & Long Bay Hosp, Sydney, NSW - Australia
[5] Penticton Reg Hosp, 550 Carmi Ave, Penticton, BC - Canada
[6] Inst Mental Hlth, Ctr Translat Neuroimaging, Nottingham - England
[7] Univ Nottingham, Div Psychiat & Appl Psychol, Nottingham - England
Total Affiliations: 7
Document type: Journal article
Source: PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY; v. 88, p. 112-120, JAN 10 2019.
Web of Science Citations: 4
Abstract

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. (AU)

FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC