The Neurodynamics of an Election (Pdf
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F. T. Rocha*, E. Massad, A. F. Rocha and M.N. Burattini
Medical Informatics, University of São Paulo, Brazil *fabio@enscer.com.br
Results
Brain Imaging and the Political Decision-Making
The regression analysis showed that v was a linear function of hV(ri)
(R2=0.40), given by the polynomial:
The angular coefficients ßn for some electrodes rn
were positive indicating that high values of hV(ri) were associated
to a No vote, while the coefficients ßy for some other electrodes
ry were negative indicating that high values of hV(ri) were
associated to a Yes vote.
Mapping Figure
shows the brain mapping associated to the above regression.
In the figure the first column displays hV(ri) mapping; the second
column shows the ßi mapping; and the third column shows the
voting mapping.
The hV(ri) x ßI map in the figure shows that the Yes vote
is mainly associated with the central electrodes and the No vote seems to
depend mostly on C3 and the right posterior cortex.
The partial hV(ri) x ßI maps calculated for No and Yes voters
disclosed other details of the neurodinamics of vote decision.
