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Two distinct neural pathways for mechanical versus digital technology.

Two distinct neural pathways for mechanical versus digital technology.

Authors :
Federico, Giovanni
Lesourd, Mathieu
Fournel, Arnaud
Bluet, Alexandre
Bryche, Chloé
Metaireau, Maximilien
Baldi, Dario
Brandimonte, Maria Antonella
Soricelli, Andrea
Rossetti, Yves
Osiurak, François
Source :
NeuroImage. Jan2025, Vol. 305, pN.PAG-N.PAG. 1p.
Publication Year :
2025

Abstract

• We identified two distinct cognitive and neural pathways for mechanical VS. digital technology. • Mechanical tools engage the action brain; digital tools activate the conceptual and social brain. • Digital tools are anthropomorphized more than mechanical tools in behavioral studies. • Task-based connectivity shows distinct networks for processing mechanical VS. digital tools. Technology pervades every aspect of our lives, making it crucial to investigate how the human mind deals with it. Here we examine the cognitive and neural foundations of technological cognition. In the first fMRI experiment, participants viewed videos depicting the use of mechanical tools (e.g. , a screwdriver) and digital tools (e.g. , a smartphone) compared to simple object movements. Results revealed a key dissociation: mechanical tools extensively activated the dorsal and ventro-dorsal visual streams, which are motor- and action-oriented brain systems. Conversely, digital tools largely engaged the ventral visual stream, associated with conceptual and social cognition. A second behavioral experiment showed a pronounced tendency to anthropomorphize digital tools. A third experiment involving a priming task confirmed that digital tools activate the social brain. The discovery of two different neurocognitive systems for mechanical versus digital technology offers new insights into human-technology interaction and its implications for the evolution of the human mind. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10538119
Volume :
305
Database :
Academic Search Index
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
182183958
Full Text :
https://doi.org/10.1016/j.neuroimage.2024.120971