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. 2022 Feb 10;13:806163. doi: 10.3389/fpsyg.2022.806163

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Copyright © 2022 Michela, van Peer, Brammer, Nies, van Rooij, Oostenveld, Dorrestijn, Smit, Roelofs, Klumpers and Granic.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Behavioral metrics (in-game). (A) Go/nogo action distributions across sessions and subjects. Columns are sub-divided according to the large identifier of the target related to the trial. (B) d’ from signal detection theory indicating sensitivity to target type (hostile/friendly); (C) criterion from signal detection theory indicating potential changes in strategy (D) Difference score of false alarm depending on the body type (primed body type—unprimed body type); Hit, hit; CR, correct rejection; FA, false alarm; Miss, misses; large ID, has the primed body type, announced as presumably hostile in radio dispatch; other ID, does not have a body type announced as presumably hostile in radio dispatch; BFB on, Sessions in which online biofeedback was presented to the participants; Stderr, standard error.