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Author(s) / Creator(s)
Hofmann, Stefan G.
the PsyChange Network
Abstract / Description
To uncover barriers to translating basic research into psychological treatments, we systematically identified and bibliometrically analyzed 683 translational publications. Network analysis techniques were used to examine the strengths and weaknesses of the field. Six main findings emerged: 1. Machine learning proved valuable in generating an open dataset of translational publications. 2. Translation comes primarily from physiological psychology/neuroscience and experimental psychology, with a focus on fear and anxiety. 3. Translational research is characterized by international collaborations. 4. It has an impact within and beyond academia. 5. The lack of standardized terminology might threaten scientific progress. 6. There is thematic fragmentation in the field. We highlight the potential of translational research to improve psychological treatments, to inform each other, and to break down barriers in psychological science in general. To foster a paradigm shift towards translational psychological treatment, a consistent terminology would greatly facilitate its development and dissemination.