As the diagnosis and treatment of mental disorders has become increasingly medicalized (Conrad & Slodden, 2013), consideration for the relational nature of trauma has been minimized in the healing process. As psychiatrist R. D. Laing (1971) outlined in his essays, the medical model is an approach to pathology that seeks to find medical treatments for symptoms and syndromes based on categorized diagnoses. We argue that such a model implicitly locates the pathology of trauma within the individual instead of within the person(s) who perpetrated the harm or the social and societal contexts in which it took place. In this article, we argue that this framework is pathologizing insofar as it both prioritizes symptom reduction as the goal of treatment and minimizes the significance of relational harm. After providing a brief overview of betrayal trauma (Freyd, 1996) and the importance of relational processes in healing, we describe standard treatments for betrayal trauma that are grounded in the medical model. In discussing the limitations of this framework, we offer an alternative to the medicalization of trauma-related distress: relational cultural therapy (e.g., Miller& Stiver, 1997). Within this nonpathologizing framework, we highlight the importance of attending to contextual, societal, and cultural influences of trauma as well as how these influences might impact the therapeutic relationship. We then detail extratherapeutic options as additional nonpathologizing avenues for healing, as freedom to choose among a variety of options may be particularly liberating for people who have experienced trauma. Finally, we discuss the complex process of truly healing from betrayal trauma.

Working memory (WM) is one of the most studied cognitive constructs. Although many neuroimaging studies have identified brain networks involved in WM, the time course of these networks remains unclear. In this paper we use dense-array electroencephalography (dEEG) to capture neural signals during performance of a standard WM task, the n-back task, and a blend of principal components analysis and independent components analysis (PCA/ICA) to statistically identify networks of WM and their time courses. Results reveal a visual cortex centric network, that also includes the posterior cingulate cortex, that is active prior to stimulus onset and that appears to reflect anticipatory, attention-related processes. After stimulus onset, the ventromedial prefrontal cortex, lateral prefrontal prefrontal cortex, and temporal poles become associated with the prestimulus network. This second network appears to reflect executive control processes. Following activation of the second network, the cortices of the temporo-parietal junction with the temporal lobe structures seen in the first and second networks re-engage. This third network appears to reflect activity of the ventral attention network involved in control of attentional reorientation. The results point to important temporal features of network dynamics that integrate multiple subsystems of the ventral attention network with the default mode network in the performance of working memory tasks.

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