Cel A primary treatment for anxiety disorders is exposure therapy, which is based on the principles of extinction, but has the drawback that fear can return. This risk of relapse highlights a need for treatments that persist. Research on reconsolidation has shown that upon reactivation old fear memories can be updated, preventing the return of fear. However, studies targeting reconsolidation to reduce fear have reported mixed results because its boundary conditions are poorly understood. To live up to its clinical potential it is necessary to understand how to most effectively utilize paradigms targeting reconsolidation. The proposed research attempts to address this issue by providing a neural measure of the reconsolidation process itself. This will be achieved by determining whether dynamic patterns of neural network activity that occur during initial learning re-occur during offline ‘rest’ periods, and test whether this ‘replay’ of memory is linked to reconsolidation. The first objective of this grant application is to identify and quantify a neural marker of reconsolidation that predicts the absence of fear recovery. During the outgoing phase these questions will be addressed employing an innovative cross-species (humans, rats) approach using similar behavioural tasks, complementary recording techniques (functional magnetic resonance imaging, multi-unit recordings) and state-of-the-art analyses methods. Acquired knowledge and experience will be applied during the return phase where the second objective is to use this neural marker to determine how context serves as one critical boundary condition to inducing reconsolidation. Findings will significantly advance fundamental understanding of reconsolidation and have important implication for applied and preclinical psychiatric research. Dziedzina nauki engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imagingnatural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual realitymedical and health sciencesclinical medicinepsychiatryanxiety disordersnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Program(-y) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Temat(-y) MSCA-IF-2014-GF - Marie Skłodowska-Curie Individual Fellowships (IF-GF) Zaproszenie do składania wniosków H2020-MSCA-IF-2014 Zobacz inne projekty w ramach tego zaproszenia System finansowania MSCA-IF-GF - Global Fellowships Koordynator STICHTING RADBOUD UNIVERSITEIT Wkład UE netto € 242 929,80 Adres HOUTLAAN 4 6525 XZ Nijmegen Niderlandy Zobacz na mapie Region Oost-Nederland Gelderland Arnhem/Nijmegen Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 242 929,80 Partnerzy (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko Partner Organizacje partnerskie biorą udział w realizacji działania, jednak nie podpisują umowy o grant. NEW YORK UNIVERSITY Stany Zjednoczone Wkład UE netto € 0,00 Adres 70 WASHINGTON SQUARE SOUTH 10003 1526 New York Zobacz na mapie Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 160 130,40