{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T17:18:45Z","timestamp":1774113525358,"version":"3.50.1"},"reference-count":71,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100010909","name":"Young Scientists Fund","doi-asserted-by":"publisher","award":["81801785"],"award-info":[{"award-number":["81801785"]}],"id":[{"id":"10.13039\/501100010909","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008867","name":"Department of Education of Zhejiang Province","doi-asserted-by":"publisher","award":["Y201431325"],"award-info":[{"award-number":["Y201431325"]}],"id":[{"id":"10.13039\/501100008867","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2016YFC0100300"],"award-info":[{"award-number":["2016YFC0100300"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["81573516"],"award-info":[{"award-number":["81573516"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004835","name":"Zhejiang University","doi-asserted-by":"crossref","award":["Hundred Talents Program"],"award-info":[{"award-number":["Hundred Talents Program"]}],"id":[{"id":"10.13039\/501100004835","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Zhejiang Lab","award":["2019KE0AD01"],"award-info":[{"award-number":["2019KE0AD01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s11517-020-02244-3","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T07:02:41Z","timestamp":1600412561000},"page":"2805-2819","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Breastfeeding improves dynamic reorganization of functional connectivity in preterm infants: a temporal brain network study"],"prefix":"10.1007","volume":"58","author":[{"given":"Weiming","family":"Niu","sequence":"first","affiliation":[]},{"given":"Xinfen","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Hongxi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Shaoqing","family":"Ni","sequence":"additional","affiliation":[]},{"given":"Tianmei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qiufang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Can","family":"Lai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6666-8586","authenticated-orcid":false,"given":"Yu","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,18]]},"reference":[{"key":"2244_CR1","doi-asserted-by":"crossref","unstructured":"Kinney HC (2006) The near-term (late preterm) human brain and risk for periventricular leukomalacia: a review. In: Seminars in perinatology, vol. 30, no. 2. Elsevier, pp 81\u201388","DOI":"10.1053\/j.semperi.2006.02.006"},{"issue":"2","key":"2244_CR2","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.pedn.2010.12.018","volume":"27","author":"SG Hallowell","year":"2012","unstructured":"Hallowell SG, Spatz DL (2012) The relationship of brain development and breastfeeding in the late-preterm infant. J Pediatr Nurs 27(2):154\u2013162","journal-title":"J Pediatr Nurs"},{"issue":"2","key":"2244_CR3","doi-asserted-by":"publisher","first-page":"1352","DOI":"10.1016\/j.neuroimage.2012.01.059","volume":"60","author":"D Batalle","year":"2012","unstructured":"Batalle D, Eixarch E, Figueras F, Mu\u00f1oz-Moreno E., Bargallo N, Illa M, Acosta-Rojas R, Amat-Roldan I, Gratacos E (2012) Altered small-world topology of structural brain networks in infants with intrauterine growth restriction and its association with later neurodevelopmental outcome. Neuroimage 60(2):1352\u20131366","journal-title":"Neuroimage"},{"issue":"9","key":"2244_CR4","doi-asserted-by":"publisher","first-page":"3000","DOI":"10.1093\/cercor\/bhu095","volume":"25","author":"MP van den Heuvel","year":"2014","unstructured":"van den Heuvel MP, Kersbergen KJ, de Reus MA, Keunen K, Kahn RS, Groenendaal F, de Vries LS, Benders MJ (2014) The neonatal connectome during preterm brain development. Cereb Cortex 25(9):3000\u20133013","journal-title":"Cereb Cortex"},{"issue":"2","key":"2244_CR5","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1093\/pubmed\/fdr024","volume":"34","author":"C Kerr-Wilson","year":"2011","unstructured":"Kerr-Wilson C, Mackay D, Smith G, Pell J (2011) Meta-analysis of the association between preterm delivery and intelligence. J Publ Health 34(2):209\u2013216","journal-title":"J Publ Health"},{"issue":"8","key":"2244_CR6","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1097\/DBP.0b013e3181e5ab7e","volume":"31","author":"SH Foster-Cohen","year":"2010","unstructured":"Foster-Cohen SH, Friesen MD, Champion PR, Woodward LJ (2010) High prevalence\/low severity language delay in preschool children born very preterm. J Dev Behav Pediatr 31(8):658\u2013667","journal-title":"J Dev Behav Pediatr"},{"issue":"4","key":"2244_CR7","doi-asserted-by":"publisher","first-page":"e826","DOI":"10.1542\/peds.2014-3188","volume":"135","author":"AC Burnett","year":"2015","unstructured":"Burnett AC, Scratch SE, Lee KJ, Cheong J, Searle K, Hutchinson E, De Luca C, Davey M-A, Roberts G, Doyle LW et al (2015) Executive function in adolescents born<\u20091000 g or<\u200928 weeks: a prospective cohort study. Pediatrics 135(4):e826\u2013e834","journal-title":"Pediatrics"},{"key":"2244_CR8","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.jpeds.2016.06.045","volume":"177","author":"MB Belfort","year":"2016","unstructured":"Belfort MB, Anderson PJ, Nowak VA, Lee KJ, Molesworth C, Thompson DK, Doyle LW, Inder TE (2016) Breast milk feeding, brain development, and neurocognitive outcomes: a 7-year longitudinal study in infants born at less than 30 weeks\u2019 gestation. J Pediatr 177:133\u2013139","journal-title":"J Pediatr"},{"issue":"8788","key":"2244_CR9","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/0140-6736(92)91329-7","volume":"339","author":"A Lucas","year":"1992","unstructured":"Lucas A, Morley R, Cole TJ, Lister G, Leeson-Payne C (1992) Breast milk and subsequent intelligence quotient in children born preterm. Lancet 339(8788):261\u2013264","journal-title":"Lancet"},{"issue":"1","key":"2244_CR10","doi-asserted-by":"publisher","first-page":"e9","DOI":"10.1542\/peds.101.1.e9","volume":"101","author":"LJ Horwood","year":"1998","unstructured":"Horwood LJ, Fergusson DM (1998) Breastfeeding and later cognitive and academic outcomes. Pediatrics 101(1):e9\u2013e9","journal-title":"Pediatrics"},{"key":"2244_CR11","volume-title":"The optimal duration of exclusive breastfeeding: a systematic review","author":"HW Organization","year":"2001","unstructured":"Organization HW et al (2001) The optimal duration of exclusive breastfeeding: a systematic review. World Health Organization, Technical Report, Geneva"},{"issue":"2","key":"2244_CR12","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1093\/ajcn\/82.2.281","volume":"82","author":"JC McCann","year":"2005","unstructured":"McCann JC, Ames BN (2005) Is docosahexaenoic acid, an n- 3 long-chain polyunsaturated fatty acid, required for development of normal brain function? An overview of evidence from cognitive and behavioral tests in humans and animals\u2013. Amer J Clin Nutrit 82(2):281\u2013295","journal-title":"Amer J Clin Nutrit"},{"issue":"1","key":"2244_CR13","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.biochi.2010.05.005","volume":"93","author":"P Guesnet","year":"2011","unstructured":"Guesnet P, Alessandri J-M (2011) Docosahexaenoic acid (DHA) and the developing central nervous system (CNS)\u2013implications for dietary recommendations. Biochimie 93(1):7\u201312","journal-title":"Biochimie"},{"issue":"3","key":"2244_CR14","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1203\/PDR.0b013e318163a271","volume":"63","author":"EB Isaacs","year":"2008","unstructured":"Isaacs EB, Gadian DG, Sabatini S, Chong WK, Quinn BT, Fischl BR, Lucas A (2008) The effect of early human diet on caudate volumes and IQ. Pediatr Res 63(3):308","journal-title":"Pediatr Res"},{"key":"2244_CR15","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.neuroimage.2018.09.045","volume":"184","author":"M Blesa","year":"2019","unstructured":"Blesa M, Sullivan G, Anblagan D, Telford EJ, Quigley AJ, Sparrow SA, Serag A, Semple SI, Bastin ME, Boardman JP (2019) Early breast milk exposure modifies brain connectivity in preterm infants. Neuroimage 184:431\u2013439","journal-title":"Neuroimage"},{"key":"2244_CR16","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.neuroimage.2013.05.090","volume":"82","author":"SC Deoni","year":"2013","unstructured":"Deoni SC, Dean IIIDC, Piryatinsky I, O\u2019Muircheartaigh J, Waskiewicz N, Lehman K, Han M, Dirks H (2013) Breastfeeding and early white matter development: a cross-sectional study. Neuroimage 82:77\u201386","journal-title":"Neuroimage"},{"issue":"5","key":"2244_CR17","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.neuron.2010.08.017","volume":"67","author":"JD Power","year":"2010","unstructured":"Power JD, Fair DA, Schlaggar BL, Petersen SE (2010) The development of human functional brain networks. Neuron 67(5):735\u2013748","journal-title":"Neuron"},{"key":"2244_CR18","doi-asserted-by":"publisher","first-page":"159","DOI":"10.3389\/fped.2017.00159","volume":"5","author":"CR Mongerson","year":"2017","unstructured":"Mongerson CR, Jennings RW, Borsook D, Becerra L, Bajic D (2017) Resting-state functional connectivity in the infant brain: methods, pitfalls, and potentiality. Front Pediatr 5:159","journal-title":"Front Pediatr"},{"issue":"2","key":"2244_CR19","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1177\/1073858416635986","volume":"23","author":"W Gao","year":"2017","unstructured":"Gao W, Lin W, Grewen K, Gilmore JH (2017) Functional connectivity of the infant human brain: plastic and modifiable. Neuroscientist 23(2):169\u2013184","journal-title":"Neuroscientist"},{"key":"2244_CR20","doi-asserted-by":"crossref","unstructured":"Zhou Z, Zhang H, Hsu L-M, Lin W, Pan G, Shen D, Consortium UBCP et al (2019) Multi-layer temporal network analysis reveals increasing temporal reachability and spreadability in the first two years of life. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, pp 665\u2013672","DOI":"10.1007\/978-3-030-32248-9_74"},{"key":"2244_CR21","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.neuroimage.2018.07.004","volume":"185","author":"H Zhang","year":"2019","unstructured":"Zhang H, Shen D, Lin W (2019) Resting-state functional mri studies on infant brains: a decade of gap-filling efforts. Neuroimage 185:664\u2013684","journal-title":"Neuroimage"},{"issue":"1","key":"2244_CR22","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1093\/cercor\/bhq071","volume":"21","author":"P Fransson","year":"2010","unstructured":"Fransson P, \u00c5den U, Blennow M, Lagercrantz H (2010) The functional architecture of the infant brain as revealed by resting-state FMRI. Cereb Cortex 21(1):145\u2013154","journal-title":"Cereb Cortex"},{"issue":"8","key":"2244_CR23","doi-asserted-by":"publisher","first-page":"3665","DOI":"10.1007\/s00429-018-1707-0","volume":"223","author":"E Gozdas","year":"2018","unstructured":"Gozdas E, Parikh NA, Merhar SL, Tkach JA, He L, Holland SK (2018) Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?. Brain Struct Funct 223(8):3665\u20133680","journal-title":"Brain Struct Funct"},{"key":"2244_CR24","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.neuroimage.2016.12.061","volume":"160","author":"MG Preti","year":"2017","unstructured":"Preti MG, Bolton TA, Van De Ville D (2017) The dynamic functional connectome: state-of-the-art and perspectives. Neuroimage 160:41\u201354","journal-title":"Neuroimage"},{"key":"2244_CR25","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/j.neuroimage.2017.06.081","volume":"180","author":"AE Sizemore","year":"2018","unstructured":"Sizemore AE, Bassett DS (2018) Dynamic graph metrics: tutorial, toolbox, and tale. Neuroimage 180:417\u2013427","journal-title":"Neuroimage"},{"issue":"2","key":"2244_CR26","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","volume":"84","author":"VD Calhoun","year":"2014","unstructured":"Calhoun VD, Miller R, Pearlson G, Adal\u0131 T (2014) The chronnectome: time-varying connectivity networks as the next frontier in FMRI data discovery. Neuron 84(2):262\u2013274","journal-title":"Neuron"},{"issue":"9","key":"2244_CR27","doi-asserted-by":"publisher","first-page":"2154","DOI":"10.1002\/hbm.22058","volume":"34","author":"RM Hutchison","year":"2013","unstructured":"Hutchison RM, Womelsdorf T, Gati JS, Everling S, Menon RS (2013) Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Hum Brain Mapp 34 (9):2154\u20132177","journal-title":"Hum Brain Mapp"},{"key":"2244_CR28","doi-asserted-by":"publisher","first-page":"34291","DOI":"10.1038\/srep34291","volume":"6","author":"Z Dai","year":"2016","unstructured":"Dai Z, Chen Y, Li J, Fam J, Bezerianos A, Sun Y (2016) Temporal efficiency evaluation and small-worldness characterization in temporal networks. Sci Rep 6:34291","journal-title":"Sci Rep"},{"issue":"3","key":"2244_CR29","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1093\/schbul\/sby077","volume":"45","author":"Y Sun","year":"2018","unstructured":"Sun Y, Collinson SL, Suckling J, Sim K (2018) Dynamic reorganization of functional connectivity reveals abnormal temporal efficiency in schizophrenia. Schizophr Bull 45(3):659\u2013669","journal-title":"Schizophr Bull"},{"issue":"4","key":"2244_CR30","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1203\/PDR.0b013e3181d026da","volume":"67","author":"EB Isaacs","year":"2010","unstructured":"Isaacs EB, Fischl BR, Quinn BT, Chong WK, Gadian DG, Lucas A (2010) Impact of breast milk on intelligence quotient, brain size, and white matter development. Pediatr Res 67(4):357","journal-title":"Pediatr Res"},{"key":"2244_CR31","first-page":"13","volume":"4","author":"C Yan","year":"2010","unstructured":"Yan C, Zang Y (2010) Dparsf: a matlab toolbox for \u201cpipeline\u201d data analysis of resting-state FMRI. Front Syst Neurosci 4:13","journal-title":"Front Syst Neurosci"},{"key":"2244_CR32","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1016\/j.neuroimage.2016.09.038","volume":"146","author":"JD Power","year":"2017","unstructured":"Power JD, Plitt M, Laumann TO, Martin A (2017) Sources and implications of whole-brain FMRI signals in humans. Neuroimage 146:609\u2013625","journal-title":"Neuroimage"},{"issue":"4","key":"2244_CR33","doi-asserted-by":"publisher","first-page":"e18746","DOI":"10.1371\/journal.pone.0018746","volume":"6","author":"F Shi","year":"2011","unstructured":"Shi F, Yap P-T, Wu G, Jia H, Gilmore JH, Lin W, Shen D (2011) Infant brain atlases from neonates to 1- and 2-year-olds. PloS One 6(4):e18746","journal-title":"PloS One"},{"issue":"3","key":"2244_CR34","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1093\/cercor\/bhs352","volume":"24","author":"EA Allen","year":"2014","unstructured":"Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD (2014) Tracking whole-brain connectivity dynamics in the resting state. Cereb Cortex 24(3):663\u2013676","journal-title":"Cereb Cortex"},{"key":"2244_CR35","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.neuroimage.2014.09.007","volume":"104","author":"N Leonardi","year":"2015","unstructured":"Leonardi N, Van De Ville D (2015) On spurious and real fluctuations of dynamic functional connectivity during rest. Neuroimage 104:430\u2013436","journal-title":"Neuroimage"},{"key":"2244_CR36","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1016\/j.neuroimage.2015.03.047","volume":"114","author":"A Zalesky","year":"2015","unstructured":"Zalesky A, Breakspear M (2015) Towards a statistical test for functional connectivity dynamics. Neuroimage 114:466\u2013470","journal-title":"Neuroimage"},{"issue":"4","key":"2244_CR37","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1016\/j.neuroimage.2012.02.001","volume":"60","author":"A Zalesky","year":"2012","unstructured":"Zalesky A, Fornito A, Bullmore E (2012) On the use of correlation as a measure of network connectivity. Neuroimage 60(4):2096\u20132106","journal-title":"Neuroimage"},{"issue":"6","key":"2244_CR38","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1002\/hbm.21079","volume":"32","author":"JS Anderson","year":"2011","unstructured":"Anderson JS, Druzgal TJ, Lopez-Larson M, Jeong E-K, Desai K, Yurgelun-Todd D (2011) Network anticorrelations, global regression, and phase-shifted soft tissue correction. Hum Brain Mapp 32(6):919\u2013934","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"2244_CR39","doi-asserted-by":"publisher","first-page":"1448","DOI":"10.1016\/j.neuroimage.2009.05.012","volume":"47","author":"C Chang","year":"2009","unstructured":"Chang C, Glover GH (2009) Effects of model-based physiological noise correction on default mode network anti-correlations and correlations. Neuroimage 47(4):1448\u20131459","journal-title":"Neuroimage"},{"issue":"2","key":"2244_CR40","doi-asserted-by":"publisher","first-page":"e17","DOI":"10.1371\/journal.pcbi.0030017","volume":"3","author":"S Achard","year":"2007","unstructured":"Achard S, Bullmore E (2007) Efficiency and cost of economical brain functional networks. PLoS Comput Biol 3(2):e17","journal-title":"PLoS Comput Biol"},{"issue":"3","key":"2244_CR41","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.physrep.2012.03.001","volume":"519","author":"P Holme","year":"2012","unstructured":"Holme P, Saram\u00e4ki J (2012) Temporal networks. Phys Rep 519(3):97\u2013125","journal-title":"Phys Rep"},{"issue":"6684","key":"2244_CR42","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts DJ, Strogatz SH (1998) Collective dynamics of \u2018small-world\u2019 networks. Nature 393 (6684):440","journal-title":"Nature"},{"issue":"12","key":"2244_CR43","doi-asserted-by":"publisher","first-page":"1922","DOI":"10.1109\/JPROC.2014.2361326","volume":"102","author":"P Holme","year":"2014","unstructured":"Holme P (2014) Analyzing temporal networks in social media. Proc IEEE 102(12):1922\u20131933","journal-title":"Proc IEEE"},{"issue":"2","key":"2244_CR44","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1162\/NETN_a_00011","volume":"1","author":"WH Thompson","year":"2017","unstructured":"Thompson WH, Brantefors P, Fransson P (2017) From static to temporal network theory: applications to functional brain connectivity. Netw Neurosci 1(2):69\u201399","journal-title":"Netw Neurosci"},{"issue":"3","key":"2244_CR45","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1038\/nrn2575","volume":"10","author":"E Bullmore","year":"2009","unstructured":"Bullmore E, Sporns O (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10(3):186","journal-title":"Nat Rev Neurosci"},{"issue":"6","key":"2244_CR46","first-page":"512","volume":"12","author":"DS Bassett","year":"2006","unstructured":"Bassett DS, Bullmore E (2006) Small-world brain networks. Neurosci 12(6):512\u2013523","journal-title":"Neurosci"},{"issue":"28","key":"2244_CR47","doi-asserted-by":"publisher","first-page":"10 341","DOI":"10.1073\/pnas.1400181111","volume":"111","author":"A Zalesky","year":"2014","unstructured":"Zalesky A, Fornito A, Cocchi L, Gollo LL, Breakspear M (2014) Time-resolved resting-state brain networks. Proc Natl Acad Sci 111(28):10 341\u201310 346","journal-title":"Proc Natl Acad Sci"},{"key":"2244_CR48","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.neuroimage.2017.02.084","volume":"152","author":"Y Sun","year":"2017","unstructured":"Sun Y, Lim J, Dai Z, Wong K, Taya F, Chen Y, Li J, Thakor N, Bezerianos A (2017) The effects of a mid-task break on the brain connectome in healthy participants: a resting-state functional MRI study. Neuroimage 152:19\u201330","journal-title":"Neuroimage"},{"issue":"5","key":"2244_CR49","doi-asserted-by":"publisher","first-page":"e96505","DOI":"10.1371\/journal.pone.0096505","volume":"9","author":"Y Sun","year":"2014","unstructured":"Sun Y, Yin Q, Fang R, Yan X, Wang Y, Bezerianos A, Tang H, Miao F, Sun J (2014) Disrupted functional brain connectivity and its association to structural connectivity in amnestic mild cognitive impairment and Alzheimer\u2019s disease. PLoS One 9(5):e96505","journal-title":"PLoS One"},{"issue":"4","key":"2244_CR50","doi-asserted-by":"publisher","first-page":"e953","DOI":"10.1542\/peds.2006-3227","volume":"120","author":"BR Vohr","year":"2007","unstructured":"Vohr BR, Poindexter BB, Dusick AM, McKinley LT, Higgins RD, Langer JC, Poole WK et al (2007) Persistent beneficial effects of breast milk ingested in the neonatal intensive care unit on outcomes of extremely low birth weight infants at 30 months of age. Pediatrics 120(4):e953\u2013e959","journal-title":"Pediatrics"},{"issue":"1","key":"2244_CR51","doi-asserted-by":"publisher","first-page":"e115","DOI":"10.1542\/peds.2005-2382","volume":"118","author":"BR Vohr","year":"2006","unstructured":"Vohr BR, Poindexter BB, Dusick AM, McKinley LT, Wright LL, Langer JC, Poole WK et al (2006) Beneficial effects of breast milk in the neonatal intensive care unit on the developmental outcome of extremely low birth weight infants at 18 months of age. Pediatrics 118(1):e115\u2013e123","journal-title":"Pediatrics"},{"issue":"5","key":"2244_CR52","doi-asserted-by":"publisher","first-page":"1024","DOI":"10.1093\/ajcn\/78.5.1024","volume":"78","author":"B Wang","year":"2003","unstructured":"Wang B, McVeagh P, Petocz P, Brand-Miller J (2003) Brain ganglioside and glycoprotein sialic acid in breastfed compared with formula-fed infants. Amer J Clin Nutrit 78(5):1024\u20131029","journal-title":"Amer J Clin Nutrit"},{"issue":"6","key":"2244_CR53","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1111\/j.1651-2227.2004.tb03011.x","volume":"93","author":"E Khedr","year":"2004","unstructured":"Khedr E, Farghaly W, Amry SE-D, Osman A (2004) Neural maturation of breastfed and formula-fed infants. Acta Paediatr 93(6):734\u2013738","journal-title":"Acta Paediatr"},{"issue":"2","key":"2244_CR54","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1111\/j.1469-8986.2007.00621.x","volume":"45","author":"E Rykhlevskaia","year":"2008","unstructured":"Rykhlevskaia E, Gratton G, Fabiani M (2008) Combining structural and functional neuroimaging data for studying brain connectivity: a review. Psychophysiology 45(2):173\u2013187","journal-title":"Psychophysiology"},{"key":"2244_CR55","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.earlhumdev.2010.02.001","volume":"86","author":"H Jing","year":"2010","unstructured":"Jing H, Gilchrist JM, Badger TM, Pivik R (2010) A longitudinal study of differences in electroencephalographic activity among breastfed, milk formula-fed, and soy formula-fed infants during the first year of life. Early Hum Dev 86:119\u2013125","journal-title":"Early Hum Dev"},{"issue":"3","key":"2244_CR56","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/S0361-9230(00)00434-2","volume":"54","author":"T Paus","year":"2001","unstructured":"Paus T, Collins D, Evans A, Leonard G, Pike B, Zijdenbos A (2001) Maturation of white matter in the human brain: a review of magnetic resonance studies. Brain Res Bull 54(3):255\u2013266","journal-title":"Brain Res Bull"},{"issue":"3","key":"2244_CR57","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1111\/mcn.12015","volume":"9","author":"CM Herba","year":"2013","unstructured":"Herba CM, Roza S, Govaert P, Hofman A, Jaddoe V, Verhulst FC, Tiemeier H (2013) Breastfeeding and early brain development: the g eneration r study. Maternal & Child Nutrit 9(3):332\u2013349","journal-title":"Maternal & Child Nutrit"},{"key":"2244_CR58","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S0010-0277(03)00039-8","volume":"88","author":"D Mareschal","year":"2003","unstructured":"Mareschal D, Johnson MH (2003) The \u201cwhat\u201d and \u201cwhere\u201d of object representations in infancy. Cognition 88:259\u2013276","journal-title":"Cognition"},{"key":"2244_CR59","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0010-0277(91)90045-6","volume":"40","author":"MH Johnson","year":"1991","unstructured":"Johnson MH, Dziurawiec S, Ellis H, John M (1991) Newborn\u2019s preferential tracking of face-like stimuli and its subsequent decline. Cognition 40:1\u201319","journal-title":"Cognition"},{"issue":"4","key":"2244_CR60","doi-asserted-by":"publisher","first-page":"e880","DOI":"10.1542\/peds.2010-1633","volume":"128","author":"M Guxens","year":"2011","unstructured":"Guxens M, Mendez MA, Molt\u00f3-puigmartx\u00ed C, Julvez J, Garc\u00eda-Esteban R, Forns J, Ferrer M, Vrijheid M, L\u00f3pez-Sabater MC, Sunyer J (2011) Breastfeeding, long-chain polyunsaturated fatty acids in colostrum, and infant mental development. Pediatrics 128(4):e880\u2013e889","journal-title":"Pediatrics"},{"issue":"3","key":"2244_CR61","doi-asserted-by":"publisher","first-page":"2142","DOI":"10.1016\/j.neuroimage.2011.10.018","volume":"59","author":"JD Power","year":"2012","unstructured":"Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012) Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59(3):2142\u20132154","journal-title":"Neuroimage"},{"issue":"1","key":"2244_CR62","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.neuroimage.2011.07.044","volume":"59","author":"KR Van Dijk","year":"2012","unstructured":"Van Dijk KR, Sabuncu MR, Buckner RL (2012) The influence of head motion on intrinsic functional connectivity mri. Neuroimage 59(1):431\u2013438","journal-title":"Neuroimage"},{"issue":"3","key":"2244_CR63","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1203\/PDR.0b013e3181b1bd84","volume":"66","author":"P Fransson","year":"2009","unstructured":"Fransson P, Ski\u00f6ld B, Engstr\u00f6m M, Hallberg B, Mosskin M, \u00c5den U, Lagercrantz H, Blennow M (2009) Spontaneous brain activity in the newborn brain during natural sleep\u2014an FMRI study in infants born at full term. Pediatr Res 66(3):301","journal-title":"Pediatr Res"},{"issue":"7","key":"2244_CR64","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1002\/hbm.20537","volume":"29","author":"MD Greicius","year":"2008","unstructured":"Greicius MD, Kiviniemi V, Tervonen O, Vainionp\u00e4\u00e4 V, Alahuhta S, Reiss AL, Menon V (2008) Persistent default-mode network connectivity during light sedation. Hum Brain Mapp 29(7):839\u2013847","journal-title":"Hum Brain Mapp"},{"issue":"39","key":"2244_CR65","doi-asserted-by":"publisher","first-page":"15 531","DOI":"10.1073\/pnas.0704380104","volume":"104","author":"P Fransson","year":"2007","unstructured":"Fransson P, Ski\u00f6ld B, Horsch S, Nordell A, Blennow M, Lagercrantz H, \u00c5den U (2007) Resting-state networks in the infant brain. Proc Natl Acad Sci 104(39):15 531\u201315 536","journal-title":"Proc Natl Acad Sci"},{"issue":"06","key":"2244_CR66","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1055\/s-0034-1387816","volume":"45","author":"J Vannest","year":"2014","unstructured":"Vannest J, Rajagopal A, Cicchino ND, Franks-Henry J, Simpson SM, Lee G, Altaye M, Sroka C, Holland SK, Consortium CA et al (2014) Factors determining success of awake and asleep magnetic resonance imaging scans in nonsedated children. Neuropediatrics 45(06):370\u2013377","journal-title":"Neuropediatrics"},{"issue":"2","key":"2244_CR67","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.neuroimage.2010.08.063","volume":"54","author":"SM Smith","year":"2011","unstructured":"Smith SM, Miller KL, Salimi-Khorshidi G, Webster M, Beckmann CF, Nichols TE, Ramsey JD, Woolrich MW (2011) Network modelling methods for FMRI. Neuroimage 54(2):875\u2013891","journal-title":"Neuroimage"},{"issue":"3","key":"2244_CR68","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1152\/jn.00338.2011","volume":"106","author":"B Thomas Yeo","year":"2011","unstructured":"Thomas Yeo B, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Z\u00f6llei L, Polimeni JR et al (2011) The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 106(3):1125\u20131165","journal-title":"J Neurophysiol"},{"key":"2244_CR69","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/j.neuroimage.2013.05.081","volume":"82","author":"X Shen","year":"2013","unstructured":"Shen X, Tokoglu F, Papademetris X, Constable RT (2013) Groupwise whole-brain parcellation from resting-state FMRI data for network node identification. Neuroimage 82:403\u2013415","journal-title":"Neuroimage"},{"issue":"8","key":"2244_CR70","doi-asserted-by":"publisher","first-page":"3508","DOI":"10.1093\/cercor\/bhw157","volume":"26","author":"L Fan","year":"2016","unstructured":"Fan L, Li H, Zhuo J, Zhang Y, Wang J, Chen L, Yang Z, Chu C, Xie S, Laird AR et al (2016) The human brainnetome atlas: a new brain atlas based on connectional architecture. Cereb Cortex 26(8):3508\u20133526","journal-title":"Cereb Cortex"},{"key":"2244_CR71","first-page":"21","volume":"8","author":"A Hollingshead","year":"1975","unstructured":"Hollingshead A (1975) Four factor index of social status. Yale J Sociol 8:21\u201352","journal-title":"Yale J Sociol"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-020-02244-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-020-02244-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-020-02244-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T01:23:51Z","timestamp":1650245031000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-020-02244-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,18]]},"references-count":71,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["2244"],"URL":"https:\/\/doi.org\/10.1007\/s11517-020-02244-3","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,18]]},"assertion":[{"value":"15 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}