{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T05:06:03Z","timestamp":1793163963548,"version":"4.5.0"},"reference-count":67,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T00:00:00Z","timestamp":1550188800000},"content-version":"vor","delay-in-days":45,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["SCHR 774\/5-1"],"award-info":[{"award-number":["SCHR 774\/5-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01EO1001"],"award-info":[{"award-number":["01EO1001"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["DFG-SFB1052"],"award-info":[{"award-number":["DFG-SFB1052"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["FKZ 01GI1007A"],"award-info":[{"award-number":["FKZ 01GI1007A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01-NS89757"],"award-info":[{"award-number":["R01-NS89757"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004189","name":"Max-Planck-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004189","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000864","name":"Michael J. Fox Foundation for Parkinson's Research","doi-asserted-by":"publisher","award":["MJFF-11362"],"award-info":[{"award-number":["MJFF-11362"]}],"id":[{"id":"10.13039\/100000864","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018173","name":"International Max Planck Research School for Environmental, Cellular and Molecular Microbiology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018173","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100001288","name":"Parkinson's Disease Foundation","doi-asserted-by":"publisher","award":["PDF-IRG-1307"],"award-info":[{"award-number":["PDF-IRG-1307"]}],"id":[{"id":"10.13039\/100001288","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1016\/j.nicl.2019.101722","type":"journal-article","created":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T12:26:15Z","timestamp":1550579175000},"page":"101722","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":37,"special_numbering":"C","title":["Atrophy in midbrain &amp; cerebral\/cerebellar pedunculi is characteristic for progressive supranuclear palsy \u2013 A double-validation whole-brain meta-analysis"],"prefix":"10.1016","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5891-445X","authenticated-orcid":false,"given":"Franziska","family":"Albrecht","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandrine","family":"Bisenius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jane","family":"Neumann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Whitwell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias L.","family":"Schroeter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2019.101722_bb0005","series-title":"Disentangling the Neural Correlates of Corticobasal Syndrome and Corticobasal Degeneration with Systematic and Quantitative ALE Meta-Analyses","author":"Albrecht","year":"2017"},{"key":"10.1016\/j.nicl.2019.101722_bb0010","article-title":"FDG-PET hypometabolism is more sensitive than MRI atrophy in Parkinson's disease: a whole-brain multimodal imaging meta-analysis","author":"Albrecht","year":"2018","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.nicl.2019.101722_bb0015","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1111\/ene.12902","article-title":"Validating new diagnostic imaging criteria for primary progressive aphasia via anatomical likelihood estimation meta-analyses","volume":"23","author":"Bisenius","year":"2016","journal-title":"Eur. J. Neurol."},{"key":"10.1016\/j.nicl.2019.101722_bb0020","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.nicl.2017.02.003","article-title":"Predicting primary progressive aphasias with support vector machine approaches in structural MRI data","volume":"14","author":"Bisenius","year":"2017","journal-title":"Neuroimage Clin."},{"issue":"1","key":"10.1016\/j.nicl.2019.101722_bb0025","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1001\/archneur.63.1.81","article-title":"Patterns of brain atrophy that differentiate corticobasal degeneration syndrome from progressive supranuclear palsy","volume":"63","author":"Boxer","year":"2006","journal-title":"Arch. Neurol."},{"issue":"2","key":"10.1016\/j.nicl.2019.101722_bb0030","first-page":"246","article-title":"Voxel based morphometry reveals a distinct pattern of frontal atrophy in progressive supranuclear palsy","volume":"75","author":"Brenneis","year":"2004","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"10.1016\/j.nicl.2019.101722_bb0035","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1002\/mds.26294","article-title":"Distinct patterns of brain activity in progressive supranuclear palsy and Parkinson's disease","volume":"30","author":"Burciu","year":"2015","journal-title":"Mov. Disord."},{"key":"10.1016\/j.nicl.2019.101722_bb0045","series-title":"Magnetic Resonance Support Vector Machine Discriminates between Parkinson Disease and Progressive Supranuclear Palsy","author":"Cherubini","year":"2014"},{"key":"10.1016\/j.nicl.2019.101722_bb0050","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1093\/brain\/awh508","article-title":"Clinical deficits correlate with regional cerebral atrophy in progressive supranuclear palsy","volume":"128","author":"Cordato","year":"2005","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2019.101722_bb0055","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.pscychresns.2012.04.007","article-title":"Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI","volume":"212","author":"Dukart","year":"2013","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.nicl.2019.101722_bb0060","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1016\/j.neuroimage.2011.09.017","article-title":"Activation likelihood estimation meta-analysis revisited","volume":"59","author":"Eickhoff","year":"2012","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.nicl.2019.101722_bb0065","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1002\/hbm.23342","article-title":"Implementation errors in the GingerALE software: description and recommendations","volume":"38","author":"Eickhoff","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2019.101722_bb0070","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1093\/brain\/aws128","article-title":"Social cognitive deficits and their neural correlates in progressive supranuclear palsy","volume":"135","author":"Ghosh","year":"2012","journal-title":"Brain"},{"issue":"6","key":"10.1016\/j.nicl.2019.101722_bb0075","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1016\/j.parkreldis.2013.02.005","article-title":"Clinical and cognitive correlations of regional gray matter atrophy in progressive supranuclear palsy","volume":"19","author":"Giordano","year":"2013","journal-title":"Parkinsonism Relat. Disord."},{"key":"10.1016\/j.nicl.2019.101722_bb0080","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1212\/WNL.0b013e31821103e6","article-title":"Classification of primary progressive aphasia and its variants","volume":"76","author":"Gorno-Tempini","year":"2011","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2019.101722_bb0085","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1002\/sim.4780090710","article-title":"More powerful procedures for multiple significance testing","volume":"9","author":"Hochberg","year":"1990","journal-title":"Stat. Med."},{"key":"10.1016\/j.nicl.2019.101722_bb0090","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1002\/mds.26987","article-title":"Clinical diagnosis of progressive supranuclear palsy: the movement disorder society criteria","volume":"32","author":"H\u00f6glinger","year":"2017","journal-title":"Mov. Disord."},{"issue":"12","key":"10.1016\/j.nicl.2019.101722_bb0095","doi-asserted-by":"crossref","first-page":"3086","DOI":"10.1152\/jn.00062.2014","article-title":"The binaural masking level difference: cortical correlates persist despite severe brain stem atrophy in progressive supranuclear palsy","volume":"112","author":"Hughes","year":"2014","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.nicl.2019.101722_bb0100","doi-asserted-by":"crossref","first-page":"1506","DOI":"10.1002\/mds.26715","article-title":"Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification","volume":"31","author":"Huppertz","year":"2016","journal-title":"Mov. Disord."},{"issue":"2","key":"10.1016\/j.nicl.2019.101722_bb0105","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.neurad.2012.06.001","article-title":"Diffusion tensor tract-specific analysis of the uncinate fasciculus in patients with progressive supranuclear palsy","volume":"40","author":"Kamiya","year":"2013","journal-title":"J. Neuroradiol."},{"key":"10.1016\/j.nicl.2019.101722_bb0110","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/S0022-510X(03)00014-5","article-title":"Study of the rostral midbrain atrophy in progressive supranuclear palsy","volume":"210","author":"Kato","year":"2003","journal-title":"J. Neurol. Sci."},{"key":"10.1016\/j.nicl.2019.101722_bb0115","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1007\/s10072-017-2812-1","article-title":"MRI measurements of brainstem structures in patients with vascular parkinsonism, progressive supranuclear palsy, and Parkinson's disease","volume":"38","author":"Kim","year":"2017","journal-title":"Neurol. Sci."},{"key":"10.1016\/j.nicl.2019.101722_bb0120","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1093\/brain\/awm319","article-title":"Automatic classification of MR scans in Alzheimer's disease","volume":"131","author":"Kl\u00f6ppel","year":"2008","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2019.101722_bb0125","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1002\/hbm.20136","article-title":"ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts","volume":"25","author":"Laird","year":"2005","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2019.101722_bb0130","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1002\/hbm.20345","article-title":"Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template","volume":"28","author":"Lancaster","year":"2007","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2019.101722_bb0135","doi-asserted-by":"crossref","first-page":"2410","DOI":"10.1093\/brain\/awq162","article-title":"Magnetic resonance imaging lesion pattern in Guadeloupean parkinsonism is distinct from progressive supranuclear palsy","volume":"133","author":"Lehericy","year":"2010","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2019.101722_bb0140","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.neubiorev.2011.12.001","article-title":"A meta-analysis of voxel-based morphometry studies of white matter volume alterations in Alzheimer's disease","volume":"36","author":"Li","year":"2012","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.nicl.2019.101722_bb0145","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.1016\/j.neurobiolaging.2011.04.007","article-title":"A meta-analysis of diffusion tensor imaging studies in amyotrophic lateral sclerosis","volume":"33","author":"Li","year":"2012","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.nicl.2019.101722_bb0150","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1212\/WNL.47.1.1","article-title":"Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): report of the NINDS-SPSP international workshop","volume":"47","author":"Litvan","year":"1996","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2019.101722_bb0155","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1097\/00005072-199601000-00010","article-title":"Validity and reliability of the preliminary NINDS neuropathologic criteria for progressive supranuclear palsy and related disorders","volume":"55","author":"Litvan","year":"1996","journal-title":"J. Neuropathol. Exp. Neurol."},{"key":"10.1016\/j.nicl.2019.101722_bb0160","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1002\/mds.23293","article-title":"MRI measurements of brainstem structures in patients with Richardson's syndrome, progressive supranuclear palsy-parkinsonism, and Parkinson's disease","volume":"26","author":"Longoni","year":"2011","journal-title":"Mov. Disord."},{"key":"10.1016\/j.nicl.2019.101722_bb0165","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1016\/j.nicl.2017.02.001","article-title":"Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data","volume":"14","author":"Meyer","year":"2017","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2019.101722_bb0170","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1002\/mds.26921","article-title":"Manual MRI morphometry in Parkinsonian syndromes","volume":"32","author":"Moller","year":"2017","journal-title":"Mov. Disord."},{"key":"10.1016\/j.nicl.2019.101722_bb0175","doi-asserted-by":"crossref","first-page":"100","DOI":"10.3389\/fnins.2017.00100","article-title":"Disease-specific regions outperform whole-brain approaches in identifying progressive Supranuclear palsy: a multicentric MRI study","volume":"11","author":"Mueller","year":"2017","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.nicl.2019.101722_bb0180","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.neubiorev.2017.11.012","article-title":"Ten simple rules for neuroimaging meta-analysis","volume":"84","author":"M\u00fcller","year":"2018","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.nicl.2019.101722_bb0185","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.1212\/01.WNL.0000165960.04422.D0","article-title":"New and reliable MRI diagnosis for progressive supranuclear palsy","volume":"64","author":"Oba","year":"2005","journal-title":"Neurology"},{"issue":"4","key":"10.1016\/j.nicl.2019.101722_bb0190","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1136\/jnnp.2005.075713","article-title":"Diffusion tensor imaging and voxel based morphometry study in early progressive supranuclear palsy","volume":"77","author":"Padovani","year":"2006","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"issue":"2-3","key":"10.1016\/j.nicl.2019.101722_bb0195","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1159\/000338176","article-title":"Gray matter atrophy in behavioral variant frontotemporal dementia: a meta-analysis of voxel-based morphometry studies","volume":"33","author":"Pan","year":"2012","journal-title":"Dement. Geriatr. Cogn. Disord."},{"key":"10.1016\/j.nicl.2019.101722_bb0200","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1093\/brain\/awl021","article-title":"Longitudinal MRI in progressive supranuclear palsy and multiple system atrophy: rates and regions of atrophy","volume":"129","author":"Paviour","year":"2006","journal-title":"Brain"},{"issue":"8","key":"10.1016\/j.nicl.2019.101722_bb0205","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.1007\/s00415-015-7779-3","article-title":"Neuroimaging evidence of gray and white matter damage and clinical correlates in progressive supranuclear palsy","volume":"262","author":"Piattella","year":"2015","journal-title":"J. Neurol."},{"issue":"4","key":"10.1016\/j.nicl.2019.101722_bb0210","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.3233\/JAD-160178","article-title":"Looking for measures of disease severity in the frontotemporal dementia continuum","volume":"52","author":"Premi","year":"2016","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.nicl.2019.101722_bb0215","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1192\/bjp.bp.108.055046","article-title":"Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder","volume":"195","author":"Radua","year":"2009","journal-title":"Br. J. Psychiatry"},{"key":"10.1016\/j.nicl.2019.101722_bb0220","doi-asserted-by":"crossref","first-page":"13","DOI":"10.3389\/fpsyt.2014.00013","article-title":"Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies","volume":"5","author":"Radua","year":"2014","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.nicl.2019.101722_bb0225","doi-asserted-by":"crossref","first-page":"2456","DOI":"10.1093\/brain\/awr179","article-title":"Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia","volume":"134","author":"Rascovsky","year":"2011","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2019.101722_bb0230","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.nicl.2014.02.009","article-title":"The feasibility of white matter volume reduction analysis using SPM8 plus DARTEL for the diagnosis of patients with clinically diagnosed corticobasal syndrome and Richardson's syndrome","volume":"7","author":"Sakurai","year":"2015","journal-title":"Neuroimage Clin."},{"issue":"2","key":"10.1016\/j.nicl.2019.101722_bb0235","doi-asserted-by":"crossref","first-page":"193","DOI":"10.4103\/0972-2327.132626","article-title":"A voxel based comparative analysis using magnetization transfer imaging and T1-weighted magnetic resonance imaging in progressive supranuclear palsy","volume":"17","author":"Sandhya","year":"2014","journal-title":"Ann. Indian Acad. Neurol."},{"key":"10.1016\/j.nicl.2019.101722_bb0240","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1136\/jnnp.2007.120261","article-title":"A neurological MRI menagerie","volume":"7","author":"Schott","year":"2007","journal-title":"Pract. Neurol."},{"key":"10.1016\/j.nicl.2019.101722_bb0245","doi-asserted-by":"crossref","first-page":"10","DOI":"10.3389\/fnagi.2011.00010","article-title":"Combined imaging markers dissociate Alzheimer's disease and Frontotemporal lobar degeneration - an ALE meta-analysis","volume":"3","author":"Schroeter","year":"2011","journal-title":"Front. Aging Neurosci."},{"issue":"3","key":"10.1016\/j.nicl.2019.101722_bb0250","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1016\/j.neuroimage.2007.03.024","article-title":"Towards a nosology for frontotemporal lobar degenerations\u2014a meta-analysis involving 267 subjects","volume":"36","author":"Schroeter","year":"2007","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.nicl.2019.101722_bb0255","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.neurobiolaging.2006.10.023","article-title":"Neural networks in frontotemporal dementia\u2014a meta-analysis","volume":"29","author":"Schroeter","year":"2008","journal-title":"Neurobiol. Aging"},{"issue":"4","key":"10.1016\/j.nicl.2019.101722_bb0260","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1016\/j.neuroimage.2009.05.037","article-title":"Neural correlates of Alzheimer's disease and mild cognitive impairment: a systematic and quantitative meta-analysis involving 1351 patients","volume":"47","author":"Schroeter","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.101722_bb0265","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.cortex.2014.02.022","article-title":"Conceptualizing neuropsychiatric diseases with multimodal data-driven meta-analyses - the case of behavioral variant frontotemporal dementia","volume":"57","author":"Schroeter","year":"2014","journal-title":"Cortex"},{"key":"10.1016\/j.nicl.2019.101722_bb0270","doi-asserted-by":"crossref","first-page":"63","DOI":"10.3389\/fnhum.2014.00063","article-title":"Voxelwise meta-analysis of gray matter anomalies in progressive supranuclear palsy and Parkinson's disease using anatomic likelihood estimation","volume":"8","author":"Shao","year":"2014","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.nicl.2019.101722_bb0275","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.neulet.2014.12.007","article-title":"Voxelwise meta-analysis of gray matter anomalies in Parkinson variant of multiple system atrophy and Parkinson's disease using anatomic likelihood estimation","volume":"587","author":"Shao","year":"2015","journal-title":"Neurosci. Lett."},{"key":"10.1016\/j.nicl.2019.101722_bb0280","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1007\/s10072-013-1406-9","article-title":"Gray matter atrophy in progressive supranuclear palsy: meta-analysis of voxel-based morphometry studies","volume":"34","author":"Shi","year":"2013","journal-title":"Neurol. Sci."},{"key":"10.1016\/j.nicl.2019.101722_bb0285","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s00415-007-0656-y","article-title":"MR imaging of brainstem atrophy in progressive supranuclear palsy","volume":"255","author":"Slowinski","year":"2008","journal-title":"J. Neurol."},{"issue":"1","key":"10.1016\/j.nicl.2019.101722_bb0290","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1159\/000333368","article-title":"Brain alterations and mini-mental state examination in patients with progressive supranuclear palsy: voxel-based investigations using f-fluorodeoxyglucose positron emission tomography and magnetic resonance imaging","volume":"1","author":"Takahashi","year":"2011","journal-title":"Dement. Geriatr. Cogn. Dis. Extra"},{"key":"10.1016\/j.nicl.2019.101722_bb0295","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v036.i03","article-title":"Conducting meta-analyses in R with the metafor package","volume":"36","author":"Viechtbauer","year":"2010","journal-title":"J. Stat. Softw."},{"issue":"4","key":"10.1016\/j.nicl.2019.101722_bb0300","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1111\/ene.12004","article-title":"Neuroimaging comparison of primary progressive apraxia of speech and progressive supranuclear palsy","volume":"20","author":"Whitwell","year":"2013","journal-title":"Eur. J. Neurol."},{"issue":"7","key":"10.1016\/j.nicl.2019.101722_bb0305","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1002\/mds.27038","article-title":"Radiological Biomarkers for Diagnosis in PSP: Where are we and where do we need to be?","volume":"32","author":"Whitwell","year":"2017","journal-title":"Mov. Disord."},{"issue":"1-2","key":"10.1016\/j.nicl.2019.101722_bb0310","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.jns.2012.02.010","article-title":"Voxelwise meta-analysis of gray matter anomalies in Alzheimer's disease and mild cognitive impairment using anatomic likelihood estimation","volume":"316","author":"Yang","year":"2012","journal-title":"J. Neurol. Sci."},{"issue":"4","key":"10.1016\/j.nicl.2019.101722_bb0315","doi-asserted-by":"crossref","first-page":"827","DOI":"10.3233\/JAD-2012-120736","article-title":"Quantitative meta-analysis of gray matter abnormalities in semantic dementia","volume":"31","author":"Yang","year":"2012","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.nicl.2019.101722_bb0320","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s10072-013-1512-8","article-title":"Voxelwise meta-analysis of white matter abnormalities in progressive supranuclear palsy","volume":"35","author":"Yang","year":"2014","journal-title":"Neurol. Sci."},{"key":"10.1016\/j.nicl.2019.101722_bb0325","doi-asserted-by":"crossref","first-page":"495","DOI":"10.3233\/JAD-150139","article-title":"Multimodal voxel-based meta-analysis of white matter abnormalities in Alzheimer's disease","volume":"47","author":"Yin","year":"2015","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.nicl.2019.101722_bb0330","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.329","article-title":"Patterns of gray matter atrophy in atypical parkinsonism syndromes: a VBM meta-analysis","volume":"5","author":"Yu","year":"2015","journal-title":"Brain Behav."},{"key":"10.1016\/j.nicl.2019.101722_bb0335","article-title":"Progression of microstructural degeneration in progressive Supranuclear palsy and Corticobasal syndrome: a longitudinal diffusion tensor imaging study","volume":"11","author":"Zhang","year":"2016","journal-title":"PLoS One"},{"issue":"10","key":"10.1016\/j.nicl.2019.101722_bb0340","doi-asserted-by":"crossref","first-page":"1870","DOI":"10.1016\/j.ejrad.2014.06.014","article-title":"Voxelwise meta-analysis of gray matter abnormalities in dementia with Lewy bodies","volume":"83","author":"Zhong","year":"2014","journal-title":"Eur. J. Radiol."}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219300725?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219300725?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T17:02:55Z","timestamp":1767114175000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158219300725"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":67,"alternative-id":["S2213158219300725"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2019.101722","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Atrophy in midbrain & cerebral\/cerebellar pedunculi is characteristic for progressive supranuclear palsy \u2013 A double-validation whole-brain meta-analysis","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2019.101722","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101722"}}