Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis

Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis

by William R. Uttal

Hardcover

$45.00
View All Available Formats & Editions
Eligible for FREE SHIPPING
  • Want it by Tuesday, October 23  Order now and choose Expedited Shipping during checkout.

Overview

Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis by William R. Uttal

A review of the empirical evidence shows that unreliability of research findings relating brain images and cognitive processes is widespread in cognitive neuroscience.

Cognitive neuroscientists increasingly claim that brain images generated by new brain imaging technologies reflect, correlate, or represent cognitive processes. In this book, William Uttal warns against these claims, arguing that, despite its utility in anatomic and physiological applications, brain imaging research has not provided consistent evidence for correlation with cognition. Uttal bases his argument on an extensive review of the empirical literature, pointing to variability in data not only among subjects within individual experiments but also in the new meta-analytical approach that pools data from different experiments. This inconsistency of results, he argues, has profound implications for the field, suggesting that cognitive neuroscientists have not yet proven their interpretations of the relation between brain activity captured by macroscopic imaging techniques and cognitive processes; what may have appeared to be correlations may have only been illusions of association. He supports the view that the true correlates are located at a much more microscopic level of analysis: the networks of neurons that make up the brain.

Uttal carries out comparisons of the empirical data at several levels of data pooling, including the meta-analytical. He argues that although the idea seems straightforward, the task of pooling data from different experiments is extremely complex, leading to uncertain results, and that little is gained by it. Uttal's investigation suggests a need for cognitive neuroscience to reevaluate the entire enterprise of brain imaging-cognition correlational studies.

Product Details

ISBN-13: 9780262018524
Publisher: MIT Press
Publication date: 09/28/2012
Series: The MIT Press
Pages: 254
Product dimensions: 6.20(w) x 9.00(h) x 3.20(d)
Age Range: 18 Years

About the Author


William R. Uttal wasd Professor Emeritus (Engineering) at Arizona State University, Professor Emeritus (Psychology) at the University of Michigan, and the author of many books, including The New Phrenology: On the Localization of Cognitive Processes in the Brain (MIT Press).

What People are Saying About This

Ed Vul

This provocative book challenges the bulk of fMRI research aiming to find a mapping of cognitive function onto brain regions that is consistent and stable across individuals. The contentious challenges raised by William Uttal's empirical arguments will need to be addressed as neuroimaging continues to develop.

Endorsement

William Uttal's critique of the limitations of brain imaging studies and their syntheses offers useful implications for future meta-analytic selection criteria in this area. One implication could be for brain imaging studies to focus on specific neuropsychological tests or structural measures rather than a process, privileging tests known to be well-operationalized. Uttal's work here lays important groundwork for future directions in developing cognitive science.

Alexa Smith-Osborne, University of Texas at Arlington, Cognitive Science Initiative

From the Publisher

This provocative book challenges the bulk of fMRI research aiming to find a mapping of cognitive function onto brain regions that is consistent and stable across individuals. The contentious challenges raised by William Uttal's empirical arguments will need to be addressed as neuroimaging continues to develop.

Ed Vul, Department of Psychology, University of California, San Diego

William Uttal's critique of the limitations of brain imaging studies and their syntheses offers useful implications for future meta-analytic selection criteria in this area. One implication could be for brain imaging studies to focus on specific neuropsychological tests or structural measures rather than a process, privileging tests known to be well-operationalized. Uttal's work here lays important groundwork for future directions in developing cognitive science.

Alexa Smith-Osborne, University of Texas at Arlington, Cognitive Science Initiative

Alexa Smith-Osborne

William Uttal's critique of the limitations of brain imaging studies and their syntheses offers useful implications for future meta-analytic selection criteria in this area. One implication could be for brain imaging studies to focus on specific neuropsychological tests or structural measures rather than a process, privileging tests known to be well-operationalized. Uttal's work here lays important groundwork for future directions in developing cognitive science.

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews