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000008508 0247_ $$2DOI$$a10.1007/s00115-009-2826-x
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000008508 082__ $$a610
000008508 084__ $$2WoS$$aClinical Neurology
000008508 084__ $$2WoS$$aPsychiatry
000008508 1001_ $$0P:(DE-Juel1)131678$$aEickhoff, S. B.$$b0$$uFZJ
000008508 245__ $$aMetaanalysen in der klinischen Hirnforschung
000008508 260__ $$aBerlin$$bSpringer$$c2010
000008508 300__ $$a32-38
000008508 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000008508 520__ $$aPositron 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.
000008508 536__ $$0G:(DE-Juel1)FUEK409$$2G:(DE-HGF)$$aFunktion und Dysfunktion des Nervensystems (FUEK409)$$cFUEK409$$x0
000008508 536__ $$0G:(DE-HGF)POF2-89571$$a89571 - Connectivity and Activity (POF2-89571)$$cPOF2-89571$$fPOF II T$$x1
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000008508 65320 $$2Author$$aPositron emission tomography
000008508 65320 $$2Author$$aFunctional imaging
000008508 65320 $$2Author$$aALE meta-analysis
000008508 65320 $$2Author$$aMethodology
000008508 65320 $$2Author$$aStatistics
000008508 650_2 $$2MeSH$$aBrain Mapping
000008508 650_2 $$2MeSH$$aData Interpretation, Statistical
000008508 650_2 $$2MeSH$$aEvidence-Based Medicine
000008508 650_2 $$2MeSH$$aHumans
000008508 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000008508 650_2 $$2MeSH$$aMeta-Analysis as Topic
000008508 650_2 $$2MeSH$$aPositron-Emission Tomography
000008508 650_2 $$2MeSH$$aSensitivity and Specificity
000008508 650_7 $$2WoSType$$aJ
000008508 7001_ $$0P:(DE-HGF)0$$aNickl-Jockschat, T.$$b1
000008508 7001_ $$0P:(DE-Juel1)VDB67936$$aKurth, F.$$b2$$uFZJ
000008508 773__ $$0PERI:(DE-600)1462945-8$$a10.1007/s00115-009-2826-x$$gVol. 81, p. 32-38$$p32-38$$q81<32-38$$tDer @Nervenarzt$$v81$$x0028-2804$$y2010
000008508 8567_ $$uhttp://dx.doi.org/10.1007/s00115-009-2826-x
000008508 909CO $$ooai:juser.fz-juelich.de:8508$$pVDB
000008508 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000008508 9141_ $$y2010
000008508 9132_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
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000008508 9201_ $$0I:(DE-Juel1)INM-2-20090406$$gINM$$kINM-2$$lMolekulare Organisation des Gehirns$$x0
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