A fundamental question for placebo research is whether such responses are a predisposition, quantifiable by brain characteristics. We examine this issue in chronic back pain (CBP) patients that participated in a double-blind brain imaging (fMRI) clinical trial. We recently reported that when the 30 CBP participants were treated, for two weeks, with topical analgesic or no drug patches, pain and brain activity decreased independently of treatment type, and thus were attributed to placebo responses. Here we examine in the same group brain markers for predicting placebo responses, that is for differentiating between post-treatment persistent (CBPp) and decreasing (CBPd) groups. At baseline, pain and brain activity for rating spontaneous fluctuations of back pain were not different between the two groups. However, based on brain activity differences after treatment, we identified that at baseline the extent of information shared (functional connectivity) between left medial prefrontal cortex and bilateral insula accurately (0.8) predicted post-treatment groups. This was validated in an independent cohort. Additionally, using frequency domain contrasts we observe that, at baseline, left dorsolateral prefrontal cortex high-frequency oscillations also predicted treatment outcomes and identified an additional set of functional connections distinguishing treatment outcomes. Combining medial and lateral prefrontal functional connections we observe a statistically higher accuracy (0.9) for predicting post-treatment groups. These findings show that placebo response can be identified a priori at least in CBP, and that neuronal population interactions between prefrontal cognitive and pain processing regions predetermine probability of placebo response in the clinical setting.