Abstract
Functional neuroimaging has provided a wealth of information on the cerebral localization of mental functions. In spite of its success, functional neuroimaging using positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) suffers from several limitations that restrict the amount of knowledge that may be gained from individual experiments. This encouraged the development of quantitative meta-analysis approaches that allow statistically summarizing a vast amount of neuroimaging findings across a large number of participants and diverse experimental settings. Such integration of neuroimaging data thus enables statistically defensible generalizations on the neural basis of psychological processes in health and disease, as well as relating different tasks or processes to each other. Quantitative meta-analysis therefore represents a powerful tool to gain a synoptic view of distributed neuroimaging findings in an objective and impartial fashion. Consequently, this neuroinformatic method might potentially remedy conflicting views and serve as a preliminary step for a variety of neuroimaging methods.
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Eickhoff, S.B., Kernbach, J., Bzdok, D. (2020). Meta-Analyses in Basic and Clinical Neuroscience: State of the Art and Perspective. In: Ulmer, S., Jansen, O. (eds) fMRI. Springer, Cham. https://doi.org/10.1007/978-3-030-41874-8_9
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