Advancing Pre-Health Humanities as Intensive Research Practice: Principles and Recommendations from a Cross-Divisional Baccalaureate Setting.

This essay argues that pre-health humanities programs should focus on intensive research practice for baccalaureate students and provides three guiding principles for implementing it. Although the interdisciplinary nature of health humanities permits baccalaureate students to use research methods from the natural sciences, social sciences, and humanities, pre-health humanities coursework tends to force students to adopt only one of many disciplinary identities. Alternatively, an intensive research approach invites students to critically select and combine methods from multiple (and seemingly opposing) disciplines to ask and answer questions about health problems more innovatively. Using the authors' experiences with implementing health humanities baccalaureate research initiatives at The University of North Carolina at Chapel Hill, the authors contend that pre-health humanities programs should teach and study multiple disciplinary research methods and their values; examine how health humanities research might transfer across disciplines; and focus on mentoring opportunities for funding, presenting, and publishing research. These recommendations have the potential to create unprecedented research experiences for baccalaureate students as they prepare to enter careers within and beyond the allied health professions.

Gestational Diabetes Testing, Narrative, and Medical Distrust.

In this article, we investigate the role of scientific and patient narratives on perceptions of the medical debate around gestational diabetes (GDM) testing. Among medical scientists, we show that the narrative surrounding GDM testing affirms that future research and data will lead to medical consensus. We call this narrative trajectory the "deferred quest." For patients, however, diagnosis and their subsequent discovery that biomedicine does not speak in one voice ruptures their trust in medical authority. This new distrust creates space for patients to develop a Frankian quest narrative where they become the protagonist in their story. Additionally, across these different narratives, we observe how character is constructed and employed to negotiate trust. We conclude that healthcare providers should assess the narrative trajectory adopted by patients after diagnosis. Also, we suggest that providers acknowledge the lack of medical consensus to their patients. This veracity would foster women's sense of trust in their provider as well as allow women to be active interlocutors in a debate that ultimately plays out in their deliberation about their body, pregnancy, and risk.

Mapping the semantic structure of cognitive neuroscience.

Cognitive neuroscience, as a discipline, links the biological systems studied by neuroscience to the processing constructs studied by psychology. By mapping these relations throughout the literature of cognitive neuroscience, we visualize the semantic structure of the discipline and point to directions for future research that will advance its integrative goal. For this purpose, network text analyses were applied to an exhaustive corpus of abstracts collected from five major journals over a 30-month period, including every study that used fMRI to investigate psychological processes. From this, we generate network maps that illustrate the relationships among psychological and anatomical terms, along with centrality statistics that guide inferences about network structure. Three terms--prefrontal cortex, amygdala, and anterior cingulate cortex--dominate the network structure with their high frequency in the literature and the density of their connections with other neuroanatomical terms. From network statistics, we identify terms that are understudied compared with their importance in the network (e.g., insula and thalamus), are underspecified in the language of the discipline (e.g., terms associated with executive function), or are imperfectly integrated with other concepts (e.g., subdisciplines like decision neuroscience that are disconnected from the main network). Taking these results as the basis for prescriptive recommendations, we conclude that semantic analyses provide useful guidance for cognitive neuroscience as a discipline, both by illustrating systematic biases in the conduct and presentation of research and by identifying directions that may be most productive for future research.