Psychological and personality factors, socioeconomic status, and brain properties all contribute to chronic pain but have essentially been studied independently. Here, we administered a broad battery of questionnaires to patients with chronic back pain (CBP).Clustering and network analyses revealed four orthogonal dimensions accounting for 60% of the variance, and defining chronic pain traits. Two of these traits -Pain-trait and Emote-trait -were related to back pain characteristics and could be predicted from distinct distributed functional networks in a cross-validation procedure, identifying neurotraits.These neurotraits were relatively stable in time and segregated CBP patients into subtypes showing distinct traits, pain affect, pain qualities, and socioeconomic status (neuropsychotypes). The results unravel the trait space of chronic pain leading to reliable categorization of patients into distinct types. The approach provides metrics aiming at unifying the psychology and the neurophysiology of chronic pain across diverse clinical conditions, and promotes prognostics and individualized therapeutics.Unraveling the mechanisms of chronic pain remains a major scientific challenge.There is now strong and convincing evidence that specific brain properties contribute to the risk of developing chronic pain, and that the transition to chronic pain involves brain adaptations that, to a large part, construct and mold the state of chronic pain (Baliki and Apkarian, 2015; Vachon-Presseau et al., 2016). Additionally, current theories suggest that pain characteristics, pain-related disability, and responses to treatment are all partially determined by psychological factors and/or personality properties (Turk and Okifuji, 2002), as well as parameters related to socioeconomic status (SES) (Green and Hart-Johnson, 2012). Although the biopsychosocial (BPS) perspective is actively applied in the everyday clinical management of chronic pain (Kamper et al., 2014), component properties that comprise the concept -namely biological processes (brain and body), psychological factors, and the impact of social factors on these components -have not been jointly studied. Thus, the relative influence of these factors on each other, as well as their independent contribution to the state of chronic pain, remains unknown. In its current form, the BPS model is built on fragmented evidence taken from different disciplines, andremarkably -lacks integration between psychosocial components and underlying biology. Here, we unravel and interrelate components of BPS by combining psychological, personality, and SES factors with measures of resting state functional connectivity to begin to define a unified perspective of chronic pain. There is a large body of literature demonstrating that psychological and personality factors are important contributors to chronic pain (e.g., the psychological components of BPS). Pain catastrophizing (Sullivan et al., 2001) and fear of pain (Goubert et al., 2004)represent strong predictors of chronic pain, whereas pain ...