BACKGROUND: Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. METHODS: For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. CONCLUSIONS: This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
CITATION STYLE
Correa-Ghisays, P., Vicent Sánchez-Ortí, J., Balanzá-Martínez, V., Fuentes-Durá, I., Martinez-Aran, A., Ruiz-Bolo, L., … Tabarés-Seisdedos, R. (2022). MICEmi: A method to identify cognitive endophenotypes of mental illnesses. European Psychiatry, 65(1). https://doi.org/10.1192/j.eurpsy.2022.2348
Mendeley helps you to discover research relevant for your work.