Abstract #4167

Quantitative prediction of symptom progression in drug-naive individuals with obsessive-compulsive disorder using resting-state functional magnetic resonance imaging

Xinyu Hu¹, William Pettersson-Yeo², Lizhou Chen¹, Xi Yang³, Yanchun Yang ³, Qiyong Gong¹, and Xiaoqi Huang¹

¹Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, People's Republic of, ²Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, United Kingdom, ³Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China, People's Republic of

Neuroimaging techniques hold the promise that they may one day aid the clinical assessment of individual psychiatric patients. However, the vast majority of studies published so far have been based on average differences between groups. The current study aimed to apply a novel multivariate pattern analysis technique known as relevance vector regression to evaluating the potential of resting-state functional magnetic resonance imaging for making accurate predictions about symptom progression in a relatively large sample of drug-naive patients with obsessive-compulsive disorder.

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