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Reliability in cognitive neuroscience : a meta-meta analysis / William R. Uttal.

By: Material type: TextTextPublication details: Cambridge : MIT Press, c2013.Description: xiii, 238 p. : ill. ; 24 cmISBN:
  • 9780262018524 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 612.8233 23 Ut93
Contents:
1. Meta-analysis-the idea -- 2. Meta-analysis-the methodology -- 3. Meta-analysis-on the reliability of cognitive neuroscience data-an empirical inquiry -- 4. Macroscopic theories of the mind-brain -- 5. Current status and future need.
Summary: Cognitive neuroscientists increasingly claim that brain images generated by new brain imaging technologies reflect, correlate, or represent cognitive processes. This book 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. It bases this argument on a review of the empirical literature, pointing to variability in data not only among subjects within individual experiments but also in the meta-analytical approach that pools data from different experiments.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 612.8233 Ut93 (Browse shelf(Opens below)) Available 135524
Total holds: 0

Includes bibliographical references and indexes.

1. Meta-analysis-the idea --
2. Meta-analysis-the methodology --
3. Meta-analysis-on the reliability of cognitive neuroscience data-an empirical inquiry --
4. Macroscopic theories of the mind-brain --
5. Current status and future need.

Cognitive neuroscientists increasingly claim that brain images generated by new brain imaging technologies reflect, correlate, or represent cognitive processes. This book 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. It bases this argument on a review of the empirical literature, pointing to variability in data not only among subjects within individual experiments but also in the meta-analytical approach that pools data from different experiments.

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