Abstract:
:Making sense of a neuroimaging literature that is growing in scope and complexity will require increasingly sophisticated tools for synthesizing findings across studies. Meta-analysis of neuroimaging studies fills a unique niche in this process: It can be used to evaluate the consistency of findings across different laboratories and task variants, and it can be used to evaluate the specificity of findings in brain regions or networks to particular task types. This review discusses examples, implementation, and considerations when choosing meta-analytic techniques. It focuses on the multilevel kernel density analysis (MKDA) framework, which has been used in recent studies to evaluate consistency and specificity of regional activation, identify distributed functional networks from patterns of co-activation, and test hypotheses about functional cortical-subcortical pathways in healthy individuals and patients with mental disorders. Several tests of consistency and specificity are described.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Wager TD,Lindquist MA,Nichols TE,Kober H,Van Snellenberg JXdoi
10.1016/j.neuroimage.2008.10.061subject
Has Abstractpub_date
2009-03-01 00:00:00pages
S210-21issue
1 Suppleissn
1053-8119issn
1095-9572pii
S1053-8119(08)01211-1journal_volume
45pub_type
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