Despite several criticisms surrounding the DSM classification in psychiatry, a significant bulk of research on mental conditions still operates according to two core assumptions: a) homogeneity, that is the idea that mental conditions are sufficiently homogeneous to justify generalization; b) additive comorbidity, that is the idea that the coexistence of multiple conditions in the same individual can be interpreted as additive. In this paper we take autism research as a case study to show that, despite a plethora of criticism, psychiatric (...) research often continues to operate in accordance with this model. Then we argue that such a model runs into problems once facts about comorbidity are taken into account. Finally, we offer some suggestions on how to tackle the challenge raised by comorbidity and its impact on heterogeneity. To do so, we explore transdiagnostic stratification accounts and network models to show that combining these approaches can move us in the right direction. (shrink)

Realists about mental disorder have been hasty about dismissing social explanations of how mental disorder is constituted. However, many social ontologies are realist ontologies. In order to create a meaningful distinction between realism and social metaphysics about mental disorder, I propose that realism about mental disorder is best understood as Individual Trait Realism (ITR) about them. For ITR, mental disorders exist in virtue of traits. I defend the view that ITR is compatible with social metaphysics, arguing that, in asking whether (...) constituents in the social sphere figure the metaphysics of psychopathology, we are asking questions on three different strata of explanation: the strata of demarcation, instantiation, and individual traits. Distinguishing between these strata allows for nuanced realism that need not reject the social constitution of mental disorder. (shrink)

Research suggests that people tend to overweight arguments accompanied by neuroscientific terminology, which is dubbed as the seductive allure of neuroscience explanations (SANE) in the literature. Such an effect might be of particular significance when it comes to physicians and mental health professionals (MHP), given that it has the potential to cause significant bias in their understanding as well as their treatment approaches toward psychiatric symptoms. In this study, we aimed to test the SANE effect among Turkish medical students, and (...) assess its uniqueness by comparing it with a discipline that still maintains an important role in contemporary psychiatric training in Turkey: psychoanalysis. 109 medical students with a basic level of knowledge of psychiatry and clinical neuroscience were asked to rate the credibility of explanations of differing quality (good vs. circular) for psychological phenomena, followed by three types of information: none, neuroscientific (SNI) or psychoanalytical (SPI). Our findings showed that SNI significantly increased the judged quality of explanations for both conditions with the effect being more prominent for circular explanations. On the other hand, SPI had no effect on good explanations but enhanced the judged quality of circular explanations in a level comparable to that of SNI. For the first time, the SANE effect was replicated among medical students and provided preliminary data in favor of a similar effect for psychoanalytically oriented information. (shrink)