Cortical folding and the potential for prognostic neuroimaging in schizophrenia.

Br J Psychiatry

Shuixia Guo, PhD, College of Mathematics and Computer Science, Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), Hunan Normal University, Changsha, PR China and Department of Computer Science, University of Warwick, Coventry, UK; Sarina Iwabuchi, PhD, Division of Psychiatry & Applied Psychology, University of Nottingham and Centre for Translational Neuroimaging, Institute of Mental Health, Nottingham, UK; Vijender Balain, MRCPsych, Penticton Regional Hospital, Penticton, British Columbia, Canada; Jianfeng Feng, PhD, Shanghai Center for Mathematical Sciences, Fudan University, Shanghai, PR China and Department of Computer Science, University of Warwick, Coventry, UK; Peter Liddle, PhD, Division of Psychiatry & Applied Psychology, University of Nottingham and Centre for Translational Neuroimaging, Institute of Mental Health, Nottingham, UK; Lena Palaniyappan, PhD, MRCPsych, Division of Psychiatry & Applied Psychology, University of Nottingham, Centre for Translational Neuroimaging, Institute of Mental Health, Nottingham, UK and Penticton Regional Hospital, Penticton, British Columbia, Canada

Published: November 2015

In 41 patients with schizophrenia, we used neuroanatomical information derived from structural imaging to identify patients with more severe illness, characterised by high symptom burden, low processing speed, high degree of illness persistence and lower social and occupational functional capacity. Cortical folding, but not thickness or volume, showed a high discriminatory ability in correctly identifying patients with more severe illness.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629075PMC
http://dx.doi.org/10.1192/bjp.bp.114.155796DOI Listing

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