for the overlap between the neural systems underlying the two core medial hubs of the DMN and the self-reference network and showed that greater activation and connectivity of these brain regions are positively correlated with more psychopathology in patients suffering from psychiatric illness and in those at-risk for developing mental illness. Further, she showed that individual differences in negative DMN correlations (anticorrelations) with the frontoparietal control network (FPCN) are associated with individual differences in executive function and are significantly reduced in psychiatric populations with cognitive impairment. Furthermore, her group has also demonstrated a causal relation between DMN activity and attentional performance and more recently has demonstrated that DMN/FPCN anticorrelations significantly predict fluctuations in mind wandering. Whitfield-Gabrieli has demonstrated that baseline RSNs predict future progression of psychopathology in young children years later, conversion to illness in individuals who are clinically and genetically at high-risk and predict treatment response to cognitive behavioral therapy in social anxiety disorder. She employs real-time fMRI neurofeedback to train individuals how to modulate their brain function and has coupled this intervention with mindfulness meditation to mitigate DMN hyperactivation/hyperconnectivity and the associated clinical symptoms in patients suffering from psychiatric illness. Advancement of neuroimaging analysis methods and tools Whitfield-Gabrieli has conducted research regarding the development of innovative neuroimaging analysis methods and software packages. She developed a toolbox called ART, which facilitated the detection and correction of artifacts in fMRI task activation and resting state functional connectivity data. In 2009, she formed a collaboration with Alfonso Nieto Castanon to develop a toolbox for resting state and task based functional connectivity called CONN. They implemented an alternative method of noise reduction, called the anatomical CompCor approach, that did not rely on global signal regression in order to facilitate the interpretation of anticorrelations. Her research indicated that the aforementioned approach for noise reduction increased specificity and sensitivity and allowed for the interpretation of anti-correlations. In the early 2000s Whitfield-Gabrieli's team developed real-time fMRI (rt-fMRI) neurofeedback at Stanford University and after moving to MIT (2005) her team further developed this system for Multivariate and Univariate Real-time Functional Imaging (MURFI). At Northeastern University, her team combined rt-fMRI neurofeedback with mindfulness meditation to create a transdiagnostic intervention to mitigate DMN connectivity and associated clinical symptoms and increase DMN anticorrelations for patients suffering from mental illness. Bibliography Anderson, M.C., Ochsner, K.N., Kuhl, B., Cooper, J., Robertson, E., Gabrieli, S.W., Glover, G.H., Gabrieli, J.D.E. (2004). Neural systems