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Published on: January 2, 2012
Cortical folding and the potential for prognostic neuroimaging in schizophrenia
Shuixia Guo1, Sarina Iwabuchi1, Vijender Balain1
1Shuixia 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.
Abstract:
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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