TY  - JOUR
AU  - Tahmasian, Masoud
AU  - Sepehry, Amir A.
AU  - Samea, Fateme
AU  - Khodadadifar, Tina
AU  - Soltaninejad, Zahra
AU  - Javaheripour, Nooshin
AU  - Khazaie, Habibolah
AU  - Zarei, Mojtaba
AU  - Eickhoff, Simon B.
AU  - Eickhoff, Claudia R.
TI  - Practical recommendations to conduct a neuroimaging meta‐analysis for neuropsychiatric disorders
JO  - Human brain mapping
VL  - 40
IS  - 17
SN  - 1097-0193
CY  - New York, NY
PB  - Wiley-Liss
M1  - FZJ-2019-04197
SP  - 5142-5154
PY  - 2019
N1  - AAS was not financially founded for this project. S.B.E. is supported by the Deutsche Forschungsgemeinschaft (EI 816/11‐1), the National Institute of Mental Health (R01‐MH074457), the Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain” and the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 7202070 (HBP SGA1) and under grant agreement no. 785907 (HBP SGA2).
AB  - Over the past decades, neuroimaging has become widely used to investigate structural and functional brain abnormality in neuropsychiatric disorders. The results of individual neuroimaging studies, however, are frequently inconsistent due to small and heterogeneous samples, analytical flexibility, and publication bias toward positive findings. To consolidate the emergent findings toward clinically useful insight, meta-analyses have been developed to integrate the results of studies and identify areas that are consistently involved in pathophysiology of particular neuropsychiatric disorders. However, it should be considered that the results of meta-analyses could also be divergent due to heterogeneity in search strategy, selection criteria, imaging modalities, behavioral tasks, number of experiments, data organization methods, and statistical analysis with different multiple comparison thresholds. Following an introduction to the problem and the concepts of quantitative summaries of neuroimaging findings, we propose practical recommendations for clinicians and researchers for conducting transparent and methodologically sound neuroimaging meta-analyses. This should help to consolidate the search for convergent regional brain abnormality in neuropsychiatric disorders.
LB  - PUB:(DE-HGF)16
C6  - pmid:31379049
UR  - <Go to ISI:>//WOS:000478841400001
DO  - DOI:10.1002/hbm.24746
UR  - https://juser.fz-juelich.de/record/864413
ER  -