Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM

Coordinate-based meta-analyses (CBMA) are very useful for summarizing the large number of voxel-based neuroimaging studies of normal brain functions and brain abnormalities in neuropsychiatric disorders. However, current CBMA methods do not conduct common voxelwise tests, but rather a test of conver...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 186; S. 174 - 184
Hauptverfasser:	Albajes-Eizagirre, Anton, Solanes, Aleix, Vieta, Eduard, Radua, Joaquim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.02.2019 Elsevier Limited
Schlagworte:	Activation likelihood estimation Algorithms Bias Brain - diagnostic imaging Brain mapping Brain research Coordinate-based meta-analysis Familywise error rate Humans Image Processing, Computer-Assisted - methods Medical imaging Mental disorders Meta-analysis Meta-Analysis as Topic Methods Models, Statistical Neuroimaging Neuroimaging - methods Seed-based d mapping Signed differential mapping Software Statistical analysis Studies Systematic review Tests for spatial convergence Seed-based d mapping Activation likelihood estimation Signed differential mapping Familywise error rate Coordinate-based meta-analysis Tests for spatial convergence
ISSN:	1053-8119, 1095-9572, 1095-9572
Online-Zugang:	Volltext
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