Trends in the sample size, statistics, and contributions to the <scp>BrainMap</scp> database of activation likelihood estimation meta‐analyses: An empirical study of 10‐year data-Reference-Cited by-同舟云学术

Trends in the sample size, statistics, and contributions to the BrainMap database of activation likelihood estimation meta‐analyses: An empirical study of 10‐year data

Published:2022-12-08 Issue:5 Volume:44 Page:1876-1887
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Yeung Andy Wai Kan¹^ORCID,Robertson Michaela²,Uecker Angela²,Fox Peter T.²³,Eickhoff Simon B.⁴⁵

Affiliation:

1. Oral and Maxillofacial Radiology Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong Hong Kong China

2. Research Imaging Institute University of Texas Health Science Center San Antonio Texas USA

3. Department of Radiology University of Texas Health Science Center San Antonio Texas USA

4. Institute of Systems Neuroscience, Medical Faculty Heinrich Heine University Düsseldorf Düsseldorf Germany

5. Institute of Neuroscience and Medicine, Brain & Behaviour (INM‐7) Research Centre Jülich Jülich Germany

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.26177

Reference66 articles.

1. Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRI

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

3. Cytoarchitecture, probability maps and functions of the human frontal pole

4. The empirical replicability of task-based fMRI as a function of sample size

5. Variability in the analysis of a single neuroimaging dataset by many teams

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