Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty

• Published in: Human brain mapping Vol. 30; no. 9; pp. 2907 - 2926
• Main Authors: Eickhoff, Simon B., Laird, Angela R., Grefkes, Christian, Wang, Ling E., Zilles, Karl, Fox, Peter T.
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 15.09.2009; Wiley-Liss
• Subjects: Adult; Algorithms; between-subject variability; Biological and medical sciences; Brain - anatomy & histology; Brain - diagnostic imaging; Brain - physiology; Brain Mapping - methods; Computational Biology - methods; Computer Simulation; Data Interpretation, Statistical; Female; fMRI; Humans; Image Processing, Computer-Assisted - methods; Investigative techniques, diagnostic techniques (general aspects); Magnetic Resonance Imaging - methods; Male; Medical sciences; Meta-Analysis as Topic; Middle Aged; Models, Neurological; Nervous system; Nervous system involvement in other diseases. Miscellaneous; Neurology; permutation; PET; Positron-Emission Tomography - methods; Probability; Psychomotor Performance - physiology; Radiodiagnosis. Nmr imagery. Nmr spectrometry; random-effects; Uncertainty; variance; Human; Data analysis; Uncertainty; Nervous system diseases; Radiodiagnosis; Estimation; Variability; random-effects; Nuclear magnetic resonance imaging; Variance; fMRI; Random effect; Surgical approach; between-subject variability; Positron emission tomography; Activation analysis; PET; Emission tomography; permutation

A widely used technique for coordinate‐based meta‐analyses of neuroimaging data is activation likelihood estimation (ALE). ALE assesses the overlap between foci based on modeling them as probability distributions centered at the respective coordinates. In this Human Brain Project/Neuroinformatics re...