Characterization of concept generation for engineering design through temporal brain network analysis

Abstract

This research explores the effect of the structuredness of design concept generation techniques on temporal network neurocognition. Engineering graduate students ( n = 30) completed three concept generation tasks using techniques with different levels of structuredness: brainstorming, morphological analysis, and TRIZ. Students’ brain activation in their prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy (fNIRS). The temporal dynamic of central regions in brain networks were compared between tasks. Central regions facilitate functional interaction and imply information flow through the brain. A consistent central region appears in the medial PFC. Consistent network connections occurred across both hemispheres suggesting a concurrent dual processing of divergent and convergent thinking. This study offers novel insights into the underlying neurophysiological mechanism when using these concept generation techniques. • The medial PFC was a consistently activated central brain region during concept generation. • Similar patterns of co-activation in left and right PFC were observed. • Bilateral co-activation patterns might indicate dual processing between divergent and convergent thinking. • Temporal variations occurred based on the concept generation technique.