{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T16:50:01Z","timestamp":1789750201521,"version":"4.0.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T00:00:00Z","timestamp":1520294400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"German Research Foundation DFG","award":["DU1626\/1-1"],"award-info":[{"award-number":["DU1626\/1-1"]}]},{"name":"Austrian Science Fund","award":["FWF I2889-B31"],"award-info":[{"award-number":["FWF I2889-B31"]}]},{"name":"Austrian Science Fund","award":["KLI 546-BBL"],"award-info":[{"award-number":["KLI 546-BBL"]}]},{"DOI":"10.13039\/501100003246","name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","doi-asserted-by":"crossref","award":["016.130.677"],"award-info":[{"award-number":["016.130.677"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Struct Funct"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1007\/s00429-018-1642-0","type":"journal-article","created":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T13:28:04Z","timestamp":1520342884000},"page":"2475-2487","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Grey-matter network disintegration as predictor of cognitive and motor function with aging"],"prefix":"10.1007","volume":"223","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1756-1379","authenticated-orcid":false,"given":"Marisa","family":"Koini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Duering","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benno G.","family":"Gesierich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Serge A. R. B.","family":"Rombouts","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Ropele","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabian","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Enzinger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reinhold","family":"Schmidt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,3,6]]},"reference":[{"key":"1642_CR1","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1097\/01.wnr.0000220135.16844.b6","volume":"17","author":"G Alexander","year":"2005","unstructured":"Alexander G, Chen K, Merkley T et al (2005) Regional network of magnetic resonance imaging gray matter volume in healthy aging. Neuroreport 17:951\u2013956","journal-title":"Neuroreport"},{"key":"1642_CR2","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1038\/nrn3465","volume":"14","author":"A Alexander-Bloch","year":"2013","unstructured":"Alexander-Bloch A, Giedd JN, Bullmore E (2013) Imaging structural co-variance between human brain regions. Nat Rev Neurosci 14:322\u2013336","journal-title":"Nat Rev Neurosci"},{"key":"1642_CR3","unstructured":"Andersson J, Jenkinson M, Smith S (2007) Non-linear registration aka Spatial normalization. FMRIB Tech Rep TR07JA2"},{"key":"1642_CR4","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1006\/nimg.2000.0582","volume":"11","author":"J Ashburner","year":"2000","unstructured":"Ashburner J, Friston KJ (2000) Voxel-based morphometry\u2014the Methods. Neuroimage 11:805\u2013821","journal-title":"Neuroimage"},{"key":"1642_CR5","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1148\/radiol.14132388","volume":"272","author":"F Barkhof","year":"2014","unstructured":"Barkhof F, Haller S, Rombouts SARB. (2014) Resting-state functional MR imaging: a new window to the brain. Radiology 272:29\u201349","journal-title":"Radiology"},{"key":"1642_CR6","volume-title":"Lern und Ged\u00e4chtnistest (LGT)","author":"G B\u00e4umler","year":"1974","unstructured":"B\u00e4umler G (1974) Lern und Ged\u00e4chtnistest (LGT). Dr CJ Hogrefe Verlag f\u00fcr Psychologie, G\u00f6ttingern"},{"key":"1642_CR7","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1109\/TMI.2003.822821","volume":"23","author":"C Beckmann","year":"2004","unstructured":"Beckmann C, Smith S (2004) Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging 23:137\u2013152","journal-title":"IEEE Trans Med Imaging"},{"key":"1642_CR8","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1098\/rstb.2005.1634","volume":"360","author":"CF Beckmann","year":"2005","unstructured":"Beckmann CF, DeLuca M, Devlin JT, Smith SM (2005) Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci 360:1001\u20131013","journal-title":"Philos Trans R Soc Lond B Biol Sci"},{"key":"1642_CR9","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.neurobiolaging.2005.12.016","volume":"28","author":"AM Brickman","year":"2007","unstructured":"Brickman AM, Habeck C, Zarahn E et al (2007) Structural MRI covariance patterns associated with normal aging and neuropsychological functioning. Neurobiol Aging 28:284\u2013295","journal-title":"Neurobiol Aging"},{"key":"1642_CR10","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1148\/radiology.216.3.r00au37672","volume":"216","author":"E Courchesne","year":"2000","unstructured":"Courchesne E, Chisum HJ, Townsend J et al (2000) Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 216:672\u2013682","journal-title":"Radiology"},{"key":"1642_CR11","doi-asserted-by":"publisher","first-page":"2386","DOI":"10.1001\/jama.1993.03500180078038","volume":"269","author":"RM Crum","year":"1993","unstructured":"Crum RM, Anthony JC, Bassett SS, Folstein MF (1993) Population-based norms for the mini-mental state examination by age and educational level. JAMA 269:2386\u20132391","journal-title":"JAMA"},{"key":"1642_CR12","volume-title":"Army individual test battery manual of directions and scoring","author":"USW Department","year":"1944","unstructured":"Department USW (1944) Army individual test battery manual of directions and scoring. Adjutant General\u2019s Office, Washington, DC"},{"key":"1642_CR13","doi-asserted-by":"publisher","first-page":"17648","DOI":"10.1073\/pnas.1410378111","volume":"111","author":"G Douaud","year":"2014","unstructured":"Douaud G, Groves AR, Tamnes CK et al (2014) A common brain network links development, aging, and vulnerability to disease. Proc Natl Acad Sci 111:17648\u201317653","journal-title":"Proc Natl Acad Sci"},{"key":"1642_CR14","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1162\/NETN_a_00016","volume":"1","author":"E DuPre","year":"2017","unstructured":"DuPre E, Spreng RN (2017) Structural covariance networks across the life span, from 6 to 94 years of age. Netw Neurosci 1:302\u2013323","journal-title":"Netw Neurosci"},{"key":"1642_CR15","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1212\/01.WNL.0000161871.83614.BB","volume":"64","author":"C Enzinger","year":"2005","unstructured":"Enzinger C, Fazekas F, Matthews PM et al (2005) Risk factors for progression of brain atrophy in aging: 6-year follow-up of normal subjects. Neurology 64:1704\u20131711","journal-title":"Neurology"},{"key":"1642_CR16","doi-asserted-by":"publisher","first-page":"351","DOI":"10.2214\/ajr.149.2.351","volume":"149","author":"F Fazekas","year":"1987","unstructured":"Fazekas F, Chawluk J, Alavi A et al (1987) MR signal abnormalities at 1.5 T in Alzheimer\u2019s dementia and normal aging. AJR 149:351\u2013356","journal-title":"AJR"},{"key":"1642_CR17","doi-asserted-by":"publisher","first-page":"1683","DOI":"10.1212\/WNL.43.9.1683","volume":"43","author":"F Fazekas","year":"1993","unstructured":"Fazekas F, Kleinert R, Offenbacher H et al (1993) Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 43:1683\u20131689","journal-title":"Neurology"},{"key":"1642_CR18","doi-asserted-by":"publisher","first-page":"7209","DOI":"10.1073\/pnas.0811879106","volume":"106","author":"N Filippini","year":"2009","unstructured":"Filippini N, MacIntosh BJ, Hough MG et al (2009) Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele. Proc Natl Acad Sci USA 106:7209\u20137214","journal-title":"Proc Natl Acad Sci USA"},{"key":"1642_CR19","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1515\/REVNEURO.2010.21.3.187","volume":"21","author":"AM Fjell","year":"2010","unstructured":"Fjell AM, Walhovd KB (2010) Structural brain changes in aging: courses, causes and cognitive consequences. Rev Neurosci 21:187\u2013221","journal-title":"Rev Neurosci"},{"key":"1642_CR20","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1089\/brain.2016.0434","volume":"6","author":"JC Foster-Dingley","year":"2016","unstructured":"Foster-Dingley JC, Hafkemeijer A, van den Berg-Huysmans AA et al (2016) Structural covariance networks and their association with age, features of cerebral small-vessel disease, and cognitive functioning in older persons. Brain Connect 6:681\u2013690","journal-title":"Brain Connect"},{"key":"1642_CR21","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1196\/annals.1308.009","volume":"1021","author":"JN Giedd","year":"2004","unstructured":"Giedd JN (2004) Structural Magnetic Resonance Imaging of the Adolescent Brain. Ann N Y Acad Sci 1021:77\u201385","journal-title":"Ann N Y Acad Sci"},{"key":"1642_CR22","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1111\/acel.12271","volume":"13","author":"A Hafkemeijer","year":"2014","unstructured":"Hafkemeijer A, Altmann-Schneider I, de Craen AJM et al (2014) Associations between age and gray matter volume in anatomical brain networks in middle-aged to older adults. Aging Cell 13:1068\u20131074","journal-title":"Aging Cell"},{"key":"1642_CR23","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1002\/hbm.23081","volume":"37","author":"A Hafkemeijer","year":"2016","unstructured":"Hafkemeijer A, M\u00f6ller C, Dopper E et al (2016) Differences in structural covariance brain networks between behavioral variant frontotemporal dementia and Alzheimer\u2019s disease. Hum Brain Mapp 37:978\u2013988","journal-title":"Hum Brain Mapp"},{"key":"1642_CR24","volume-title":"Introduction to mediation, moderation, and conditional process analysis: a regression-based approach","author":"AF Hayes","year":"2013","unstructured":"Hayes AF (2013) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. The Guilford Press, New York"},{"key":"1642_CR25","doi-asserted-by":"publisher","first-page":"259","DOI":"10.3389\/fnagi.2014.00259","volume":"6","author":"YY Hoogendam","year":"2014","unstructured":"Hoogendam YY, van der Lijn F, Vernooij MW et al (2014) Older age relates to worsening of fine motor skills: a population-based study of middle-aged and elderly persons. Front Aging Neurosci 6:259","journal-title":"Front Aging Neurosci"},{"key":"1642_CR26","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/S1361-8415(01)00036-6","volume":"5","author":"M Jenkinson","year":"2001","unstructured":"Jenkinson M, Smith S (2001) A global optimisation method for robust affine registration of brain images. Med Image Anal 5:143\u2013156","journal-title":"Med Image Anal"},{"key":"1642_CR27","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1006\/nimg.2002.1132","volume":"17","author":"M Jenkinson","year":"2002","unstructured":"Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17:825\u2013841","journal-title":"Neuroimage"},{"key":"1642_CR28","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.neuroimage.2013.08.022","volume":"86","author":"J Jiang","year":"2014","unstructured":"Jiang J, Sachdev P, Lipnicki D et al (2014) A longitudinal study of brain atrophy over two years in community-dwelling older individuals. Neuroimage 86:203\u2013211","journal-title":"Neuroimage"},{"key":"1642_CR29","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1016\/j.neuroimage.2006.01.042","volume":"31","author":"J Lerch","year":"2006","unstructured":"Lerch J, Worsley K, Shaw W et al (2006) Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. Neuroimage 31:993","journal-title":"Neuroimage"},{"key":"1642_CR30","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1016\/j.neuroimage.2012.06.052","volume":"63","author":"M Montembeault","year":"2012","unstructured":"Montembeault M, Joubert S, Doyon J et al (2012) The impact of aging on gray matter structural covariance networks. Neuroimage 63:754\u2013759","journal-title":"Neuroimage"},{"key":"1642_CR31","doi-asserted-by":"publisher","first-page":"879","DOI":"10.3758\/BRM.40.3.879","volume":"40","author":"KJ Preacher","year":"2008","unstructured":"Preacher KJ, Hayes AF (2008) Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods 40:879\u2013891","journal-title":"Behav Res Methods"},{"key":"1642_CR32","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1016\/j.ejcts.2009.08.033","volume":"37","author":"M Ranucci","year":"2010","unstructured":"Ranucci M, Castelvecchio S, Menicanti L et al (2010) Accuracy, calibration and clinical performance of the EuroSCORE: can we reduce the number of variables? Eur J Cardio-Thoracic Surg 37:724\u2013729","journal-title":"Eur J Cardio-Thoracic Surg"},{"key":"1642_CR33","doi-asserted-by":"publisher","first-page":"1676","DOI":"10.1093\/cercor\/bhi044","volume":"15","author":"N Raz","year":"2005","unstructured":"Raz N, Lindenberger U, Rodrigue KM et al (2005) Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex 15:1676\u20131689","journal-title":"Cereb Cortex"},{"key":"1642_CR34","volume-title":"A language and environment for statistical computing","author":"R-Core-Team","year":"2016","unstructured":"R-Core-Team (2016) A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna"},{"key":"1642_CR35","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.1111\/j.1558-5646.1986.tb05753.x","volume":"40","author":"B Riska","year":"1986","unstructured":"Riska B (1986) Some models for development, growth, and morphometric correlation. Evolution 40:1303\u20131311","journal-title":"Evolution"},{"key":"1642_CR36","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1093\/cercor\/bhh032","volume":"14","author":"D Salat","year":"2004","unstructured":"Salat D, Buckner R, Snyder A et al (2004) Thinning of the cerebral cortex in aging. Cereb Cortex 14:721\u2013730","journal-title":"Cereb Cortex"},{"key":"1642_CR37","doi-asserted-by":"publisher","first-page":"2046","DOI":"10.1016\/S0140-6736(03)13616-1","volume":"361","author":"R Schmidt","year":"2003","unstructured":"Schmidt R, Enzinger C, Ropele S et al (2003) Progression of cerebral white matter lesions: 6-year results of the Austrian stroke prevention study. Lancet 361:2046\u20132048","journal-title":"Lancet"},{"key":"1642_CR38","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1002\/ana.20630","volume":"58","author":"R Schmidt","year":"2005","unstructured":"Schmidt R, Ropele S, Enzinger C et al (2005) White matter lesion progression, brain atrophy, and cognitive decline: the Austrian stroke prevention study. Ann Neurol 58:610\u2013616","journal-title":"Ann Neurol"},{"key":"1642_CR39","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.neuron.2009.03.024","volume":"62","author":"WW Seeley","year":"2009","unstructured":"Seeley WW, Crawford RK, Zhou J et al (2009) Neurodegenerative diseases target large-scale human brain networks. Neuron 62:42\u201352","journal-title":"Neuron"},{"key":"1642_CR40","doi-asserted-by":"publisher","first-page":"3862","DOI":"10.1016\/j.neuroimage.2011.11.024","volume":"59","author":"S Sigurdsson","year":"2012","unstructured":"Sigurdsson S, Aspelund T, Forsberg L et al (2012) Brain tissue volumes in the general population of the elderly: the AGES-Reykjavik study. Neuroimage 59:3862\u20133870","journal-title":"Neuroimage"},{"key":"1642_CR41","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1002\/hbm.10062","volume":"17","author":"SM Smith","year":"2002","unstructured":"Smith SM (2002) Fast robust automated brain extraction. Hum Brain Mapp 17:143\u2013155","journal-title":"Hum Brain Mapp"},{"key":"1642_CR42","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1097\/00004728-200105000-00022","volume":"25","author":"SM Smith","year":"2001","unstructured":"Smith SM, De Stefano N, Jenkinson M, Matthews PM (2001) Normalized accurate measurement of longitudinal brain change. J Comput Assist Tomogr 25:466\u2013475","journal-title":"J Comput Assist Tomogr"},{"issue":"Suppl 1","key":"1642_CR43","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith SM, Jenkinson M, Woolrich MW et al (2004) Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23(Suppl 1):S208\u2013S219","journal-title":"Neuroimage"},{"key":"1642_CR44","doi-asserted-by":"publisher","first-page":"13040","DOI":"10.1073\/pnas.0905267106","volume":"106","author":"SM Smith","year":"2009","unstructured":"Smith SM, Fox PT, Miller KL et al (2009) Correspondence of the brain\u2019s functional architecture during activation and rest. Proc Natl Acad Sci USA 106:13040\u201313045","journal-title":"Proc Natl Acad Sci USA"},{"key":"1642_CR45","doi-asserted-by":"publisher","first-page":"15226","DOI":"10.1523\/JNEUROSCI.2261-13.2013","volume":"33","author":"RN Spreng","year":"2013","unstructured":"Spreng RN, Turner GR (2013) Structural covariance of the default network in healthy and pathological aging. J Neurosci 33:15226\u201315234","journal-title":"J Neurosci"},{"key":"1642_CR46","doi-asserted-by":"publisher","first-page":"3267","DOI":"10.1002\/hbm.22142","volume":"34","author":"J Steffener","year":"2013","unstructured":"Steffener J, Brickman A, Habeck C et al (2013) Cerebral blood flow and gray matter volume covariance patterns of cognition in aging. Hum Brain Mapp 34:3267\u20133279","journal-title":"Hum Brain Mapp"},{"key":"1642_CR47","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1007\/s12311-011-0260-7","volume":"11","author":"CJ Stoodley","year":"2012","unstructured":"Stoodley CJ (2012) The cerebellum and cognition: evidence from functional imaging studies. Cerebellum 11:352\u2013365","journal-title":"Cerebellum"},{"key":"1642_CR48","doi-asserted-by":"publisher","first-page":"1560","DOI":"10.1016\/j.neuroimage.2011.08.065","volume":"59","author":"CJ Stoodley","year":"2011","unstructured":"Stoodley CJ, Valera EM, Schmahmann JD (2011) Functional topography of the cerebellum for motor and cognitive tasks: an fMRI study. Neuroimage 59:1560\u20131570","journal-title":"Neuroimage"},{"key":"1642_CR49","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1186\/1471-2105-8-25","volume":"8","author":"C Strobl","year":"2007","unstructured":"Strobl C, Boulesteix A-L, Zeileis A, Hothorn T (2007) Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinform 8:25","journal-title":"BMC Bioinform"},{"key":"1642_CR50","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1186\/1471-2105-9-307","volume":"9","author":"C Strobl","year":"2008","unstructured":"Strobl C, Boulesteix A-L, Kneib T et al (2008) Conditional variable importance for random forests. BMC Bioinform 9:307","journal-title":"BMC Bioinform"},{"key":"1642_CR51","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1037\/a0016973","volume":"14","author":"C Strobl","year":"2009","unstructured":"Strobl C, Malley J, Tutz G (2009) An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychol Methods 14:323\u2013348","journal-title":"Psychol Methods"},{"key":"1642_CR52","volume-title":"Hamburg\u2013Wechsler Intelligenztest f\u00fcr Erwachsene","author":"U Tewes","year":"1991","unstructured":"Tewes U (1991) Hamburg\u2013Wechsler Intelligenztest f\u00fcr Erwachsene, Revised\u00a0edn. Verlag Hans Huber, Bern","edition":"Revised"},{"issue":"3","key":"1642_CR53","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1037\/h0061266","volume":"32","author":"J Tiffin","year":"1948","unstructured":"Tiffin J, Asher EJ (1948) The Purdue Pegboard: norms and studies of reliability and validity. J Appl Psychol 32(3):234","journal-title":"J Appl Psychol"},{"key":"1642_CR54","first-page":"9","volume":"4","author":"W Yoo","year":"2014","unstructured":"Yoo W, Mayberry R, Bae S et al (2014) A study of effects of multicollinearity in the multivariable analysis. Int J Appl Sci Technol 4:9\u201319","journal-title":"Int J Appl Sci Technol"},{"key":"1642_CR55","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y Zhang","year":"2001","unstructured":"Zhang Y, Brady M, Smith S (2001) Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 20:45\u201357","journal-title":"IEEE Trans Med Imaging"},{"key":"1642_CR56","doi-asserted-by":"publisher","first-page":"18191","DOI":"10.1073\/pnas.1003109107","volume":"107","author":"BA Zielinski","year":"2010","unstructured":"Zielinski BA, Gennatas ED, Zhou J, Seeley WW (2010) Network-level structural covariance in the developing brain. Proc Natl Acad Sci USA 107:18191\u201318196","journal-title":"Proc Natl Acad Sci USA"}],"container-title":["Brain Structure and Function"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00429-018-1642-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00429-018-1642-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00429-018-1642-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T03:25:15Z","timestamp":1589858715000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00429-018-1642-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,6]]},"references-count":56,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["1642"],"URL":"https:\/\/doi.org\/10.1007\/s00429-018-1642-0","relation":{},"ISSN":["1863-2653","1863-2661"],"issn-type":[{"value":"1863-2653","type":"print"},{"value":"1863-2661","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,6]]},"assertion":[{"value":"18 August 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"MK\/MD\/BG\/SARB\/SR\/FW\/RS: The authors declare that they have no conflict of interest. CE has received funding for travel and speaker honoraria from Biogen, Bayer Schering, Merck Serono, Novartis, Shire, Genzyme and Teva Pharmaceutical Industries Ltd.\/sanofi-aventis, research support from Merck Serono, Biogen, and Teva Pharmaceutical Industries Ltd.\/sanofi-aventis, and has been serving on scientific advisory boards for Bayer Schering, Biogen, Merck Serono, Novartis, Roche and Teva Pharmaceutical Industries Ltd.\/sanofi-aventis.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}