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@ARTICLE{Eickhoff:8508,
author = {Eickhoff, S. B. and Nickl-Jockschat, T. and Kurth, F.},
title = {{M}etaanalysen in der klinischen {H}irnforschung},
journal = {Der Nervenarzt},
volume = {81},
issn = {0028-2804},
address = {Berlin},
publisher = {Springer},
reportid = {PreJuSER-8508},
pages = {32-38},
year = {2010},
note = {Record converted from VDB: 12.11.2012},
abstract = {Positron emission tomography (PET) and functional magnetic
resonance imaging (fMRI) have brought about an immense
increase in findings on the localization of motor,
cognitive, and affective processes in the human brain.
However, considerable discrepancy still exists between the
multitude of available studies and the limited validity of
the individual experiments. Quantitative, coordinate-based
meta-analyses are suited to objectively integrate these
numerous findings as completely as possible. There are a
number of different methods for coordinate-based voxel-wise
meta-analyses, but the technique of"activation likelihood
estimation" (ALE) has largely prevailed. This contribution
describes the principles, methods, and statistical analysis
of ALE meta-analyses and their potential for basic research
in neuroscience and clinical brain research.},
keywords = {Brain Mapping / Data Interpretation, Statistical /
Evidence-Based Medicine / Humans / Magnetic Resonance
Imaging / Meta-Analysis as Topic / Positron-Emission
Tomography / Sensitivity and Specificity / J (WoSType)},
cin = {INM-2},
ddc = {610},
cid = {I:(DE-Juel1)INM-2-20090406},
pnm = {Funktion und Dysfunktion des Nervensystems (FUEK409) /
89571 - Connectivity and Activity (POF2-89571)},
pid = {G:(DE-Juel1)FUEK409 / G:(DE-HGF)POF2-89571},
shelfmark = {Clinical Neurology / Psychiatry},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:20066395},
UT = {WOS:000273808700005},
doi = {10.1007/s00115-009-2826-x},
url = {https://juser.fz-juelich.de/record/8508},
}