Program

Cognitive neuroscience is a highly dynamic field that continuously expands our understanding of the brain and cognition. New methods and approaches to data collection and analysis, driven by both focused empirical studies and innovative meta-analytic approaches, are shaping the field. This symposium brings together early career researchers from transdisciplinary backgrounds to highlight emerging trends in psychological and neuroimaging research.

Hutabarat et al. will present findings on how humans escape biologically relevant lethal threats, highlighting the use of wireless virtual reality to study behavior in naturalistic settings. Deng et al. will introduce a novel Magnetic Resonance Imaging-compatible walking-like pedal device to examine differences in cognitive-motor dual-task performance between young and older adults. This methodology can sensitively detect early cognitive and motor decline and its neural underpinnings in healthy older adults. Heydari et al. will present the Iranian Emotional Face Database, an online, validated dataset of Middle Eastern faces designed to enhance cross-cultural research on emotion recognition. She will also discuss facial color variations in shaping emotional and health judgments and address how emotional dynamics influence social decision-making in economic contexts and cooperative behavior. Shifting to meta-scientific approaches, Short et al. will demonstrate how machine learning can enhance sampling efficiency in large Electroencephalography preprocessing multiverse analyses. Finally, Kristanto et al. will explore how a systematic digital knowledge space may advance emerging research trends in precision neuroimaging.

Taken together, these presentations illustrate new research approaches across cognitive neuroscience and discuss how advanced empirical and meta-analytical methods can benefit the field.