Interesting Letter to the Editor in todays NYTimes:

November 14, 2007
Letter
Politics and the Brain

To the Editor:

"This Is Your Brain on Politics" (Op-Ed, Nov. 11) used the results of 
a brain imaging study to draw conclusions about the current state of 
the American electorate. The article claimed that it is possible to 
directly read the minds of potential voters by looking at their brain 
activity while they viewed presidential candidates.

For example, activity in the amygdala in response to viewing one 
candidate was argued to reflect "anxiety" about the candidate, 
whereas activity in other areas was argued to indicate "feeling 
connected." While such reasoning appears compelling on its face, it 
is scientifically unfounded.

As cognitive neuroscientists who use the same brain imaging 
technology, we know that it is not possible to definitively determine 
whether a person is anxious or feeling connected simply by looking at 
activity in a particular brain region. This is so because brain 
regions are typically engaged by many mental states, and thus a 
one-to-one mapping between a brain region and a mental state is not 
possible.

For example, rather than simply providing a brain marker of anxiety 
levels, as the article assumed, we know that the amygdala is 
activated by arousal and positive emotions as well. Such problems of 
interpretation with brain imaging studies can be avoided only by 
careful experimental design, and, as with any scientific data, the 
peer review process is critical to understanding whether the data are 
sound or based on faulty methodology.

Unfortunately, the results reported in the article were apparently 
not peer-reviewed, nor was sufficient detail provided to evaluate the 
conclusions.

As cognitive neuroscientists, we are very excited about the potential 
use of brain imaging techniques to better understand the psychology 
of political decisions. But we are distressed by the publication of 
research in the press that has not undergone peer review, and that 
uses flawed reasoning to draw unfounded conclusions about topics as 
important as the presidential election.

Adam Aron, Ph.D., University of California, San Diego
David Badre, Ph.D., Brown University
Matthew Brett, M.D., University of Cambridge
John Cacioppo, Ph.D., University of Chicago
Chris Chambers, Ph.D., University College London
Roshan Cools, Ph.D., Radboud University, Netherlands
Steve Engel, Ph.D., University of Minnesota
Mark D'Esposito, M.D., University of California, Berkeley
Chris Frith, Ph.D., University College London
Eddie Harmon-Jones, Ph.D., Texas A&M University
John Jonides, Ph.D., University of Michigan
Brian Knutson, Ph.D., Stanford University
Liz Phelps, Ph.D., New York University
Russell Poldrack, Ph.D., University of California, Los Angeles
Tor Wager, Ph.D., Columbia University
Anthony Wagner, Ph.D., Stanford University
Piotr Winkielman, Ph.D., University of California, San Diego
-- 
The best argument against Intelligent Design is that fact that
people believe in it.

* PAUL K. BRANDON                    [EMAIL PROTECTED]  *
* Psychology Dept               Minnesota State University  *
* 23 Armstrong Hall, Mankato, MN 56001     ph 507-389-6217  *
*             http://krypton.mnsu.edu/~pkbrando/            *
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