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For: Stoecklein S, Hilgendorff A, Li M, Förster K, Flemmer AW, Galiè F, Wunderlich S, Wang D, Stein S, Ehrhardt H, Dietrich O, Zou Q, Zhou S, Ertl-Wagner B, Liu H. Variable functional connectivity architecture of the preterm human brain: Impact of developmental cortical expansion and maturation. Proc Natl Acad Sci U S A 2020;117:1201-6. [PMID: 31888985 DOI: 10.1073/pnas.1907892117] [Cited by in Crossref: 33] [Cited by in F6Publishing: 37] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Luo L, You W, Delbello MP, Gong Q, Li F. Recent advances in psychoradiology. Phys Med Biol 2022;67:23TR01. [DOI: 10.1088/1361-6560/ac9d1e] [Reference Citation Analysis]
2 Siffredi V, Liverani MC, Freitas LGA, Tadros D, Farouj Y, Borradori Tolsa C, Van De Ville D, Hüppi PS, Ha-vinh Leuchter R. Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study. Pediatr Res 2022. [DOI: 10.1038/s41390-022-02342-y] [Reference Citation Analysis]
3 Zhang S, Wang R, Wang J, He Z, Wu J, Kang Y, Zhang Y, Gao H, Hu X, Zhang T. Differentiate preterm and term infant brains and characterize the corresponding biomarkers via DICCCOL-based multi-modality graph neural networks. Front Neurosci 2022;16:951508. [DOI: 10.3389/fnins.2022.951508] [Reference Citation Analysis]
4 Ren W, Jia C, Zhou Y, Zhao J, Wang B, Yu W, Li S, Hu Y, Zhang H. A precise language network revealed by the independent component-based lesion mapping in post-stroke aphasia. Front Neurol 2022;13:981653. [DOI: 10.3389/fneur.2022.981653] [Reference Citation Analysis]
5 Karahan E, Tait L, Si R, Özkan A, Szul MJ, Graham KS, Lawrence AD, Zhang J. The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure. Commun Biol 2022;5:1007. [PMID: 36151363 DOI: 10.1038/s42003-022-03974-w] [Reference Citation Analysis]
6 Bush A, Hilgendorff A. Editorial: Bronchopulmonary Dysplasia: Past, Current and Future Pathophysiologic Concepts and Their Contribution to Understanding Lung Disease. Front Med 2022;9. [DOI: 10.3389/fmed.2022.922631] [Reference Citation Analysis]
7 Gao W, Huang Z, Ou W, Tang X, Lv W, Nie J. Functional individual variability development of the neonatal brain. Brain Struct Funct 2022;227:2181-90. [PMID: 35668328 DOI: 10.1007/s00429-022-02516-8] [Reference Citation Analysis]
8 Sun L, Liang X, Duan D, Liu J, Chen Y, Wang X, Liao X, Xia M, Zhao T, He Y. Structural insight into the individual variability architecture of the functional brain connectome. Neuroimage 2022;:119387. [PMID: 35752416 DOI: 10.1016/j.neuroimage.2022.119387] [Reference Citation Analysis]
9 Sobotka D, Ebner M, Schwartz E, Nenning KH, Taymourtash A, Vercauteren T, Ourselin S, Kasprian G, Prayer D, Langs G, Licandro R. Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. Neuroimage 2022;255:119213. [PMID: 35430359 DOI: 10.1016/j.neuroimage.2022.119213] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Siffredi V, Liverani MC, Freitas LGA, Tadros D, Farouj Y, Tolsa CB, Van De Ville D, Hüppi PS, Hà-vinh Leuchter R. Large scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes.. [DOI: 10.1101/2022.03.18.22272505] [Reference Citation Analysis]
11 Onofrj V, Chiarelli AM, Wise R, Colosimo C, Caulo M. Interaction of the salience network, ventral attention network, dorsal attention network and default mode network in neonates and early development of the bottom-up attention system. Brain Struct Funct. [DOI: 10.1007/s00429-022-02477-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Li J, Wu GR, Li B, Fan F, Zhao X, Meng Y, Zhong P, Yang S, Biswal BB, Chen H, Liao W. Transcriptomic and macroscopic architectures of intersubject functional variability in human brain white-matter. Commun Biol 2021;4:1417. [PMID: 34931033 DOI: 10.1038/s42003-021-02952-y] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
13 Li L, Wei Y, Zhang J, Ma J, Yi Y, Gu Y, Li LMW, Lin Y, Dai Z. Gene expression associated with individual variability in intrinsic functional connectivity. Neuroimage 2021;245:118743. [PMID: 34800667 DOI: 10.1016/j.neuroimage.2021.118743] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
14 Burger B, Nenning KH, Schwartz E, Margulies DS, Goulas A, Liu H, Neubauer S, Dauwels J, Prayer D, Langs G. Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. Neuroimage 2021;247:118770. [PMID: 34861392 DOI: 10.1016/j.neuroimage.2021.118770] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
15 Oldham S, Ball G, Fornito A. Early and late development of hub connectivity in the human brain. Curr Opin Psychol 2021;44:321-9. [PMID: 34896927 DOI: 10.1016/j.copsyc.2021.10.010] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
16 Seki D, Mayer M, Hausmann B, Pjevac P, Giordano V, Goeral K, Unterasinger L, Klebermaß-Schrehof K, De Paepe K, Van de Wiele T, Spittler A, Kasprian G, Warth B, Berger A, Berry D, Wisgrill L. Aberrant gut-microbiota-immune-brain axis development in premature neonates with brain damage. Cell Host Microbe 2021;29:1558-1572.e6. [PMID: 34480872 DOI: 10.1016/j.chom.2021.08.004] [Cited by in Crossref: 28] [Cited by in F6Publishing: 31] [Article Influence: 28.0] [Reference Citation Analysis]
17 Weinstein SM, Vandekar SN, Adebimpe A, Tapera TM, Robert-Fitzgerald T, Gur RC, Gur RE, Raznahan A, Satterthwaite TD, Alexander-Bloch AF, Shinohara RT. A simple permutation-based test of intermodal correspondence. Hum Brain Mapp 2021;42:5175-87. [PMID: 34519385 DOI: 10.1002/hbm.25577] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
18 Ilyka D, Johnson MH, Lloyd-Fox S. Infant social interactions and brain development: A systematic review. Neurosci Biobehav Rev 2021;130:448-69. [PMID: 34506843 DOI: 10.1016/j.neubiorev.2021.09.001] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
19 Bijsterbosch JD, Valk SL, Wang D, Glasser MF. Recent developments in representations of the connectome. Neuroimage 2021;243:118533. [PMID: 34469814 DOI: 10.1016/j.neuroimage.2021.118533] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
20 Xia Y, Xia M, Liu J, Liao X, Lei T, Liang X, Zhao T, Shi Z, Sun L, Chen X, Men W, Wang Y, Pan Z, Luo J, Peng S, Chen M, Hao L, Tan S, Gao J, Qin S, Gong G, Tao S, Dong Q, He Y. Development of Functional Connectome Gradients during Childhood and Adolescence.. [DOI: 10.1101/2021.08.08.455594] [Reference Citation Analysis]
21 Sydnor VJ, Larsen B, Bassett DS, Alexander-Bloch A, Fair DA, Liston C, Mackey AP, Milham MP, Pines A, Roalf DR, Seidlitz J, Xu T, Raznahan A, Satterthwaite TD. Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology. Neuron 2021:S0896-6273(21)00457-8. [PMID: 34270921 DOI: 10.1016/j.neuron.2021.06.016] [Cited by in Crossref: 73] [Cited by in F6Publishing: 85] [Article Influence: 73.0] [Reference Citation Analysis]
22 Wang Q, Xu Y, Zhao T, Xu Z, He Y, Liao X. Individual Uniqueness in the Neonatal Functional Connectome. Cereb Cortex 2021;31:3701-12. [PMID: 33749736 DOI: 10.1093/cercor/bhab041] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
23 Li L, Wei Y, Zhang J, Ma J, Yi Y, Gu Y, Li LMW, Lin Y, Dai Z. Gene Expression Associated with Individual Variability in Intrinsic Functional Connectivity.. [DOI: 10.1101/2021.06.01.446504] [Reference Citation Analysis]
24 Chiarelli AM, Sestieri C, Navarra R, Wise RG, Caulo M. Distinct effects of prematurity on MRI metrics of brain functional connectivity, activity, and structure: Univariate and multivariate analyses. Hum Brain Mapp 2021;42:3593-607. [PMID: 33955622 DOI: 10.1002/hbm.25456] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
25 Stoecklein VM, Stoecklein S, Galiè F, Ren J, Schmutzer M, Unterrainer M, Albert NL, Kreth FW, Thon N, Liebig T, Ertl-Wagner B, Tonn JC, Liu H. Resting-state fMRI detects alterations in whole brain connectivity related to tumor biology in glioma patients. Neuro Oncol 2020;22:1388-98. [PMID: 32107555 DOI: 10.1093/neuonc/noaa044] [Cited by in Crossref: 32] [Cited by in F6Publishing: 37] [Article Influence: 32.0] [Reference Citation Analysis]
26 Uchitel J, Vanhatalo S, Austin T. Early development of sleep and brain functional connectivity in term-born and preterm infants. Pediatr Res 2021. [PMID: 33859364 DOI: 10.1038/s41390-021-01497-4] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
27 Burger B, Nenning K, Schwartz E, Margulies DS, Goulas A, Liu H, Neubauer S, Dauwels J, Prayer D, Langs G. Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment.. [DOI: 10.1101/2021.04.08.438586] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 Ren J, Hubbard CS, Ahveninen J, Cui W, Li M, Peng X, Luan G, Han Y, Li Y, Shinn AK, Wang D, Li L, Liu H. Dissociable Auditory Cortico-Cerebellar Pathways in the Human Brain Estimated by Intrinsic Functional Connectivity. Cereb Cortex 2021;31:2898-912. [PMID: 33497437 DOI: 10.1093/cercor/bhaa398] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
29 Ren J, Xu T, Wang D, Li M, Lin Y, Schoeppe F, Ramirez JSB, Han Y, Luan G, Li L, Liu H, Ahveninen J. Individual Variability in Functional Organization of the Human and Monkey Auditory Cortex. Cereb Cortex 2021;31:2450-65. [PMID: 33350445 DOI: 10.1093/cercor/bhaa366] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]
30 Blesa M, Galdi P, Cox SR, Sullivan G, Stoye DQ, Lamb GJ, Quigley AJ, Thrippleton MJ, Escudero J, Bastin ME, Smith KM, Boardman JP. Hierarchical Complexity of the Macro-Scale Neonatal Brain. Cereb Cortex 2021;31:2071-84. [PMID: 33280008 DOI: 10.1093/cercor/bhaa345] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
31 Weinstein SM, Vandekar SN, Adebimpe A, Tapera TM, Robert-fitzgerald T, Gur RC, Gur RE, Raznahan A, Satterthwaite TD, Alexander-bloch AF, Shinohara RT. A simple permutation-based test of intermodal correspondence.. [DOI: 10.1101/2020.09.10.285049] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
32 Blesa M, Galdi P, Cox SR, Sullivan G, Stoye DQ, Lamb GJ, Quigley AJ, Thrippleton MJ, Escudero J, Bastin ME, Smith KM, Boardman JP. Hierarchical complexity of the macro-scale neonatal brain.. [DOI: 10.1101/2020.01.16.909150] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
33 Ren J, Liu H, Xu T, Wang D, Li M, Lin Y, Ramirez JS, Lu J, Li L, Ahveninen J. Individual variability in functional organization of the human and monkey auditory cortex.. [DOI: 10.1101/2020.01.06.895474] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
34 Soussia M, Wen X, Zhou Z, Jin B, Kam TE, Hsu LM, Wu Z, Li G, Wang L, Rekik I, Lin W, Shen D, Zhang H. A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. Med Image Comput Comput Assist Interv 2020;12267:13-21. [PMID: 34337613 DOI: 10.1007/978-3-030-59728-3_2] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
35 Hu D, Wang F, Zhang H, Wu Z, Wang L, Lin W, Li G, Shen D. Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. Med Image Comput Comput Assist Interv 2020;12267:72-82. [PMID: 34327516 DOI: 10.1007/978-3-030-59728-3_8] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]