Embodying anticipated affect enhances proactive behavior in 5-year-old children.

Imagining anticipated affects can foster future-oriented behavior in adults. However, children often still have difficulties in vividly imagining how they will feel in a specific episode (affective episodic future thinking [EFT]). We investigated whether enacting anticipated affects helps children to imagine how they will feel and whether this enhances proactive behavior in turn.

Negative (but not positive) affective episodic future thinking enhances proactive behavior in 5-year-old children.

Envisioning the future and how you may feel (affective episodic future thinking [EFT]) helps adults to act in favor for their future self, according to manifold experiments. The current study tested whether and how affective EFT also helps children to behave more proactively, that is, to self-initially prepare for an upcoming event. Five-year-old ( = 90) children (data collected from 2021 to 2022) were instructed to mentally imagine how they would feel after successfully managing an upcoming test (positive affective EFT), how they would feel after failing to do so (negative affective EFT), or they were reminded of an upcoming test without a prompt to imagine (control condition, random assignment).

Direct Imaging of Current-Induced Antiferromagnetic Switching Revealing a Pure Thermomagnetoelastic Switching Mechanism in NiO.

We unravel the origin of current-induced magnetic switching of insulating antiferromagnet/heavy metal systems. We utilize concurrent transport and magneto-optical measurements to image the switching of antiferromagnetic domains in specially engineered devices of NiO/Pt bilayers. Different electrical pulsing and device geometries reveal different final states of the switching with respect to the current direction.

Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction.

Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method has been trying to tackle over the last two decades. Here, we review the existing literature and evaluate the current state of the hyperscanning method.