Background: The negative symptoms, including flattened affect, poverty of speech, avolition, and anhedonia, are important aspects of schizophrenia for which there are no effective treatments. Understanding the neural basis of these symptoms is an important step in developing therapies for treating these symptoms. Few studies have addressed this question, and most have treated negative symptoms as a singular category. We therefore utilize two large functional magnetic resonance imaging (fMRI) datasets to test the relationship between individual negative symptoms and functional activation and resting-state functional connectivity. Methods: The relationship between the severity of negative symptoms in schizophrenia patients and functional activation during an auditory oddball task (n = 89) and resting-state functional connectivity (n = 172) was assessed using correlation analysis and by contrasting patients with high severity symptoms with those with low severity symptoms in two datasets. Results: Activity and connectivity within limbic, striatal, default mode, and sensory processing networks were associated with negative symptoms and were differentially associated with individual negative symptom domains from the Scale for the Assessment of Negative Symptoms. Discussion: Our findings suggest that researchers should treat negative symptoms separately Furthermore, our results indicate a relationship between negative symptoms and a failure to suppress default-mode and sensory networks.