More powerful persuasion: Today's brain-imaging research could make tomorrow's arguments even more convincing

2010 ◽  
Author(s):  
Beth Azar
2020 ◽  
Vol 131 (10) ◽  
pp. e246
Author(s):  
Junya Matsumoto ◽  
Wataru Toda ◽  
Shuntaro Aoki ◽  
Shuntaro Itagaki ◽  
Itaru Miura ◽  
...  

Neurology ◽  
2008 ◽  
Vol 70 (5) ◽  
pp. 384-390 ◽  
Author(s):  
J. Illes ◽  
M. P. Kirschen ◽  
E. Edwards ◽  
P. Bandettini ◽  
M. K. Cho ◽  
...  

2016 ◽  
Vol 3 ◽  
Author(s):  
Christian Barillot ◽  
Elise Bannier ◽  
Olivier Commowick ◽  
Isabelle Corouge ◽  
Anthony Baire ◽  
...  

2007 ◽  
Vol 19 (5) ◽  
pp. 541-558 ◽  
Author(s):  
Dean F. Wong ◽  
Gerhard Gründer ◽  
James Robert Brašić

2020 ◽  
Author(s):  
Ruoguang Si ◽  
James B Rowe ◽  
Jiaxiang Zhang

AbstractBrain-imaging research on intentional decision-making often employs a “free-choice” paradigm, in which participants choose among options with identical values or outcomes. Although the medial prefrontal cortex has commonly been associated with choices, there is no consensus on the wider network that underlies diverse intentional decisions and behaviours. Our systematic literature search identified 39 fMRI/PET experiments using various free-choice paradigms, with appropriate control conditions using external instructions. An Activation-Likelihood-Estimate (ALE) meta-analysis showed that, compared with external instructions, intentional decisions consistently activate the medial and dorsolateral prefrontal cortex, the right insula and the inferior parietal lobule. We then categorized the studies into four different types according to their experimental designs: reactive motor intention, perceptual intention, inhibitory intention and cognitive intention. We conducted conjunction and contrast meta-analyses to identify consistent and selective brain activations within each specific category of intentional decision. Finally, we used meta-analytic decoding to probe cognitive processes underlying free choices. Our findings suggest that the neurocognitive process underlying intentional decision incorporates anatomically separated components subserving distinct cognitive and computational roles.


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