Cortical folding and the potential for prognostic neuroimaging in schizophrenia

Shuixia Guo; Sarina Iwabuchi; Vijender Balain; Jianfeng Feng; Peter Liddle; Lena Palaniyappan

doi:10.1192/bjp.bp.114.155796

Cortical folding and the potential for prognostic neuroimaging in schizophrenia

Br J Psychiatry. 2015 Nov;207(5):458-9. doi: 10.1192/bjp.bp.114.155796. Epub 2015 Jul 23.

Authors

Shuixia Guo¹, Sarina Iwabuchi¹, Vijender Balain¹, Jianfeng Feng¹, Peter Liddle¹, Lena Palaniyappan²

Affiliations

¹ 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.
² 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 Lena.Palaniyappan@nottingham.ac.uk.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Cerebral Cortex / pathology*
Female
Humans
Likelihood Functions
Linear Models
Magnetic Resonance Imaging*
Male
Middle Aged
Neuroimaging*
Schizophrenia / diagnosis
Schizophrenia / physiopathology*
United Kingdom
Young Adult

Abstract

Publication types

MeSH terms

Grants and funding