A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. European Psychiatry: The Journal of the Association of European Psychiatrists, 27(8):605--611, November, 2012. doi abstract bibtex Meta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.
@article{ radua_new_2012,
title = {A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps},
volume = {27},
issn = {1778-3585},
doi = {10.1016/j.eurpsy.2011.04.001},
abstract = {Meta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.},
language = {eng},
number = {8},
journal = {European Psychiatry: The Journal of the Association of European Psychiatrists},
author = {Radua, J. and Mataix-Cols, D. and Phillips, M. L. and El-Hage, W. and Kronhaus, D. M. and Cardoner, N. and Surguladze, S.},
month = {November},
year = {2012},
pmid = {21658917},
keywords = {Adult, Brain, Brain Mapping, Facial Expression, Humans, Magnetic Resonance Imaging, Neuroimaging, Neuropsychological Tests, Reproducibility of Results},
pages = {605--611}
}
Downloads: 0
{"_id":"28u8oZfvNZFNXWg82","authorIDs":[],"author_short":["Radua, J.","Mataix-Cols, D.","Phillips, M.<nbsp>L.","El-Hage, W.","Kronhaus, D.<nbsp>M.","Cardoner, N.","Surguladze, S."],"bibbaseid":"radua-mataixcols-phillips-elhage-kronhaus-cardoner-surguladze-anewmetaanalyticmethodforneuroimagingstudiesthatcombinesreportedpeakcoordinatesandstatisticalparametricmaps-2012","bibdata":{"abstract":"Meta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.","author":["Radua, J.","Mataix-Cols, D.","Phillips, M. L.","El-Hage, W.","Kronhaus, D. M.","Cardoner, N.","Surguladze, S."],"author_short":["Radua, J.","Mataix-Cols, D.","Phillips, M.<nbsp>L.","El-Hage, W.","Kronhaus, D.<nbsp>M.","Cardoner, N.","Surguladze, S."],"bibtex":"@article{ radua_new_2012,\n title = {A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps},\n volume = {27},\n issn = {1778-3585},\n doi = {10.1016/j.eurpsy.2011.04.001},\n abstract = {Meta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.},\n language = {eng},\n number = {8},\n journal = {European Psychiatry: The Journal of the Association of European Psychiatrists},\n author = {Radua, J. and Mataix-Cols, D. and Phillips, M. L. and El-Hage, W. and Kronhaus, D. M. and Cardoner, N. and Surguladze, S.},\n month = {November},\n year = {2012},\n pmid = {21658917},\n keywords = {Adult, Brain, Brain Mapping, Facial Expression, Humans, Magnetic Resonance Imaging, Neuroimaging, Neuropsychological Tests, Reproducibility of Results},\n pages = {605--611}\n}","bibtype":"article","doi":"10.1016/j.eurpsy.2011.04.001","id":"radua_new_2012","issn":"1778-3585","journal":"European Psychiatry: The Journal of the Association of European Psychiatrists","key":"radua_new_2012","keywords":"Adult, Brain, Brain Mapping, Facial Expression, Humans, Magnetic Resonance Imaging, Neuroimaging, Neuropsychological Tests, Reproducibility of Results","language":"eng","month":"November","number":"8","pages":"605--611","pmid":"21658917","title":"A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps","type":"article","volume":"27","year":"2012","bibbaseid":"radua-mataixcols-phillips-elhage-kronhaus-cardoner-surguladze-anewmetaanalyticmethodforneuroimagingstudiesthatcombinesreportedpeakcoordinatesandstatisticalparametricmaps-2012","role":"author","urls":{},"keyword":["Adult","Brain","Brain Mapping","Facial Expression","Humans","Magnetic Resonance Imaging","Neuroimaging","Neuropsychological Tests","Reproducibility of Results"],"downloads":0},"bibtype":"article","biburl":"https://api.zotero.org/users/1159944/collections/M6TABHZN/items?key=1pvuA2LY3hAaGNWuGNZF2QkP&format=bibtex&limit=100","creationDate":"2015-02-11T09:04:28.001Z","downloads":0,"keywords":["adult","brain","brain mapping","facial expression","humans","magnetic resonance imaging","neuroimaging","neuropsychological tests","reproducibility of results"],"search_terms":["new","meta","analytic","method","neuroimaging","studies","combines","reported","peak","coordinates","statistical","parametric","maps","radua","mataix-cols","phillips","el-hage","kronhaus","cardoner","surguladze"],"title":"A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps","year":2012,"dataSources":["Jekqva3EtgNgLZ4ic"]}