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For: Stevner ABA, Vidaurre D, Cabral J, Rapuano K, Nielsen SFV, Tagliazucchi E, Laufs H, Vuust P, Deco G, Woolrich MW, Van Someren E, Kringelbach ML. Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nat Commun 2019;10:1035. [PMID: 30833560 DOI: 10.1038/s41467-019-08934-3] [Cited by in Crossref: 57] [Cited by in F6Publishing: 38] [Article Influence: 19.0] [Reference Citation Analysis]
Number Citing Articles
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12 He D, Ren D, Guo Z, Jiang B. Insomnia disorder diagnosed by resting-state fMRI-based SVM classifier. Sleep Medicine 2022. [DOI: 10.1016/j.sleep.2022.04.024] [Reference Citation Analysis]
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14 Deco G, Sanz Perl Y, Bocaccio H, Tagliazucchi E, Kringelbach ML. The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states. Commun Biol 2022;5:572. [PMID: 35688893 DOI: 10.1038/s42003-022-03505-7] [Reference Citation Analysis]
15 Hermans LW, Huijben IA, van Gorp H, Leufkens TR, Fonseca P, Overeem S, van Gilst MM. Representations of temporal sleep dynamics: review and synthesis of the literature. Sleep Medicine Reviews 2022. [DOI: 10.1016/j.smrv.2022.101611] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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18 Vila-Vidal M, Capouskova K, Atasoy S, Kringelbach ML, Deco G. Uncovering the spatiotemporal scales of common neuro-mental constructs: Comment on "Is temporo-spatial dynamics the 'common currency' of brain and mind? In Quest of 'Spatiotemporal Neuroscience'" by Georg Northoff et al. Phys Life Rev 2020;33:64-6. [PMID: 31706923 DOI: 10.1016/j.plrev.2019.10.004] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
19 Escrichs A, Perl YS, Uribe C, Camara E, Türker B, Pyatigorskaya N, López-González A, Pallavicini C, Panda R, Annen J, Gosseries O, Laureys S, Naccache L, Sitt JD, Laufs H, Tagliazucchi E, Kringelbach ML, Deco G. Unifying turbulent dynamics framework distinguishes different brain states. Commun Biol 2022;5:638. [PMID: 35768641 DOI: 10.1038/s42003-022-03576-6] [Reference Citation Analysis]
20 Olsen AS, Høegh RMT, Hinrich JL, Madsen KH, Mørup M. Combining electro- and magnetoencephalography data using directional archetypal analysis. Front Neurosci 2022;16:911034. [DOI: 10.3389/fnins.2022.911034] [Reference Citation Analysis]
21 Huang H, Zhang J, Zhu L, Tang J, Lin G, Kong W, Lei X, Zhu L. EEG-Based Sleep Staging Analysis with Functional Connectivity. Sensors (Basel) 2021;21:1988. [PMID: 33799850 DOI: 10.3390/s21061988] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Chen K, Li C, Sun W, Tao Y, Wang R, Hou W, Liu DQ. Hidden Markov Modeling Reveals Prolonged "Baseline" State and Shortened Antagonistic State across the Adult Lifespan. Cereb Cortex 2021:bhab220. [PMID: 34255827 DOI: 10.1093/cercor/bhab220] [Reference Citation Analysis]
23 Tan C, Liu X, Zhang G. Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM. Neuroinformatics 2022. [PMID: 35244856 DOI: 10.1007/s12021-022-09568-5] [Reference Citation Analysis]
24 Lurie DJ, Kessler D, Bassett DS, Betzel RF, Breakspear M, Kheilholz S, Kucyi A, Liégeois R, Lindquist MA, McIntosh AR, Poldrack RA, Shine JM, Thompson WH, Bielczyk NZ, Douw L, Kraft D, Miller RL, Muthuraman M, Pasquini L, Razi A, Vidaurre D, Xie H, Calhoun VD. Questions and controversies in the study of time-varying functional connectivity in resting fMRI. Netw Neurosci 2020;4:30-69. [PMID: 32043043 DOI: 10.1162/netn_a_00116] [Cited by in Crossref: 125] [Cited by in F6Publishing: 86] [Article Influence: 62.5] [Reference Citation Analysis]
25 Moguilner S, García AM, Perl YS, Tagliazucchi E, Piguet O, Kumfor F, Reyes P, Matallana D, Sedeño L, Ibáñez A. Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: A multicenter study. Neuroimage 2021;225:117522. [PMID: 33144220 DOI: 10.1016/j.neuroimage.2020.117522] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
26 Hahn G, Zamora-López G, Uhrig L, Tagliazucchi E, Laufs H, Mantini D, Kringelbach ML, Jarraya B, Deco G. Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. Neuroimage 2021;226:117470. [PMID: 33137478 DOI: 10.1016/j.neuroimage.2020.117470] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
27 Leng X, Qin C, Lin H, Li M, Zhao K, Wang H, Duan F, An J, Wu D, Liu Q, Qiu S. Altered Topological Properties of Static/Dynamic Functional Networks and Cognitive Function After Radiotherapy for Nasopharyngeal Carcinoma Using Resting-State fMRI. Front Neurosci 2021;15:690743. [PMID: 34335167 DOI: 10.3389/fnins.2021.690743] [Reference Citation Analysis]
28 Jiang B, He D, Guo Z, Gao Z. Effect-size seed-based d mapping of resting-state fMRI for persistent insomnia disorder. Sleep Breath 2020;24:653-9. [DOI: 10.1007/s11325-019-02001-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
29 Ezaki T, Himeno Y, Watanabe T, Masuda N. Modelling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models. Eur J Neurosci 2021;54:5404-16. [PMID: 34250639 DOI: 10.1111/ejn.15386] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
30 Tokariev A, Breakspear M, Videman M, Stjerna S, Scholtens LH, van den Heuvel MP, Cocchi L, Vanhatalo S. Impact of In Utero Exposure to Antiepileptic Drugs on Neonatal Brain Function. Cereb Cortex 2021:bhab338. [PMID: 34585721 DOI: 10.1093/cercor/bhab338] [Reference Citation Analysis]
31 H B. Recommended Hints for Improved Lifestyle and Health from Integrative Medicine (IM) In the Critical Situation of COVID-19. Diab Res Open Access 2020;2:17-21. [DOI: 10.36502/2020/droa.6164] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
32 Kringelbach ML, Deco G. Brain States and Transitions: Insights from Computational Neuroscience. Cell Rep 2020;32:108128. [PMID: 32905760 DOI: 10.1016/j.celrep.2020.108128] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 16.0] [Reference Citation Analysis]
33 Eichenbaum A, Pappas I, Lurie D, Cohen JR, D'Esposito M. Differential contributions of static and time-varying functional connectivity to human behavior. Netw Neurosci 2021;5:145-65. [PMID: 33688610 DOI: 10.1162/netn_a_00172] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 6.0] [Reference Citation Analysis]
34 Mosam F, Vidaurre D, De Giuli E. Breakdown of random matrix universality in Markov models. Phys Rev E 2021;104:024305. [PMID: 34525643 DOI: 10.1103/PhysRevE.104.024305] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
35 Fan Y, Fan Q, Zhou L, Wang R, Lin P, Wu Y. Cohesive communities in dynamic brain functional networks. Phys Rev E 2021;104:014302. [PMID: 34412232 DOI: 10.1103/PhysRevE.104.014302] [Reference Citation Analysis]
36 de Mooij SMM, Blanken TF, Grasman RPPP, Ramautar JR, Van Someren EJW, van der Maas HLJ. Dynamics of sleep: Exploring critical transitions and early warning signals. Comput Methods Programs Biomed 2020;193:105448. [PMID: 32304989 DOI: 10.1016/j.cmpb.2020.105448] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
37 Park HJ, Eo J, Pae C, Son J, Park SM, Kang J. State-Dependent Effective Connectivity in Resting-State fMRI. Front Neural Circuits 2021;15:719364. [PMID: 34776875 DOI: 10.3389/fncir.2021.719364] [Reference Citation Analysis]
38 Aedo-Jury F, Schwalm M, Hamzehpour L, Stroh A. Brain states govern the spatio-temporal dynamics of resting-state functional connectivity. Elife 2020;9:e53186. [PMID: 32568067 DOI: 10.7554/eLife.53186] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
39 Li D, Vlisides PE, Mashour GA. Dynamic reconfiguration of frequency-specific cortical coactivation patterns during psychedelic and anesthetized states induced by ketamine. Neuroimage 2022;249:118891. [PMID: 35007718 DOI: 10.1016/j.neuroimage.2022.118891] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
40 Vidaurre D. A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation. PLoS Comput Biol 2021;17:e1008580. [PMID: 33861733 DOI: 10.1371/journal.pcbi.1008580] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
41 Burunat E. Love is a physiological motivation (like hunger, thirst, sleep or sex). Med Hypotheses 2019;129:109225. [PMID: 31371074 DOI: 10.1016/j.mehy.2019.05.011] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
42 Ballesteros JJ, Briscoe JB, Ishizawa Y. Neural signatures of α2-Adrenergic agonist-induced unconsciousness and awakening by antagonist. Elife 2020;9:e57670. [PMID: 32857037 DOI: 10.7554/eLife.57670] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
43 Lin P, Zang S, Bai Y, Wang H. Reconfiguration of Brain Network Dynamics in Autism Spectrum Disorder Based on Hidden Markov Model. Front Hum Neurosci 2022;16:774921. [DOI: 10.3389/fnhum.2022.774921] [Reference Citation Analysis]
44 Huang Z. Back in Time and Space: Comment on "Is temporo-spatial dynamics the "common currency" of brain and mind? In Quest of "Spatiotemporal Neuroscience"" by Georg Northoff et al. Phys Life Rev 2020;33:58-60. [PMID: 31586534 DOI: 10.1016/j.plrev.2019.09.009] [Reference Citation Analysis]
45 Wiggin TD, Goodwin PR, Donelson NC, Liu C, Trinh K, Sanyal S, Griffith LC. Covert sleep-related biological processes are revealed by probabilistic analysis in Drosophila. Proc Natl Acad Sci U S A 2020;117:10024-34. [PMID: 32303656 DOI: 10.1073/pnas.1917573117] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
46 Wang S, Wen H, Hu X, Xie P, Qiu S, Qian Y, Qiu J, He H. Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder. Mol Neurobiol 2020;57:4031-44. [PMID: 32651757 DOI: 10.1007/s12035-020-01995-2] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
47 Chang C, Chen JE. Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics. Curr Opin Biomed Eng 2021;18:100279. [PMID: 34095643 DOI: 10.1016/j.cobme.2021.100279] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
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49 Strauss M, Sitt JD, Naccache L, Raimondo F. Predicting the loss of responsiveness when falling asleep in humans. Neuroimage 2022;:119003. [PMID: 35176491 DOI: 10.1016/j.neuroimage.2022.119003] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
50 Pujol J, Blanco-Hinojo L, Gallart L, Moltó L, Martínez-Vilavella G, Vilà E, Pacreu S, Adalid I, Deus J, Pérez-Sola V, Fernández-Candil J. Largest scale dissociation of brain activity at propofol-induced loss of consciousness. Sleep 2021;44:zsaa152. [PMID: 32813022 DOI: 10.1093/sleep/zsaa152] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
51 Chen Z, Zhang R, Huo H, Liu P, Zhang C, Feng T. Functional connectome of human cerebellum. NeuroImage 2022. [DOI: 10.1016/j.neuroimage.2022.119015] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
52 Ricchi I, Tarun A, Maretic HP, Frossard P, Van De Ville D. Dynamics of Functional Network Organization Through Graph Mixture Learning. Neuroimage 2022;:119037. [PMID: 35219859 DOI: 10.1016/j.neuroimage.2022.119037] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
53 Liu TT, Falahpour M. Vigilance Effects in Resting-State fMRI. Front Neurosci 2020;14:321. [PMID: 32390792 DOI: 10.3389/fnins.2020.00321] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 6.5] [Reference Citation Analysis]
54 Rué-Queralt J, Stevner A, Tagliazucchi E, Laufs H, Kringelbach ML, Deco G, Atasoy S. Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Commun Biol 2021;4:854. [PMID: 34244598 DOI: 10.1038/s42003-021-02369-7] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
55 Wilsenach JB, Warnaby CE, Deane CM, Reinert GD. Ranking of communities in multiplex spatiotemporal models of brain dynamics. Appl Netw Sci 2022;7. [DOI: 10.1007/s41109-022-00454-2] [Reference Citation Analysis]
56 Li C, Dong M, Womer FY, Han S, Yin Y, Jiang X, Wei Y, Duan J, Feng R, Zhang L, Zhang X, Wang F, Tang Y, Xu K. Transdiagnostic time-varying dysconnectivity across major psychiatric disorders. Hum Brain Mapp 2021;42:1182-96. [PMID: 33210798 DOI: 10.1002/hbm.25285] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
57 Naeije G, Coquelet N, Wens V, Goldman S, Pandolfo M, De Tiège X. Age of onset modulates resting-state brain network dynamics in Friedreich Ataxia. Hum Brain Mapp 2021;42:5334-44. [PMID: 34523778 DOI: 10.1002/hbm.25621] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
58 Vidaurre D, Llera A, Smith SM, Woolrich MW. Behavioural relevance of spontaneous, transient brain network interactions in fMRI. Neuroimage 2021;229:117713. [PMID: 33421594 DOI: 10.1016/j.neuroimage.2020.117713] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
59 Pazienti A, Galluzzi A, Dasilva M, Sanchez-vives MV, Mattia M. Slow waves form expanding, memory-rich mesostates steered by local excitability in fading anesthesia. iScience 2022;25:103918. [DOI: 10.1016/j.isci.2022.103918] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
60 Tarun A, Wainstein-Andriano D, Sterpenich V, Bayer L, Perogamvros L, Solms M, Axmacher N, Schwartz S, Van De Ville D. NREM sleep stages specifically alter dynamical integration of large-scale brain networks. iScience 2021;24:101923. [PMID: 33409474 DOI: 10.1016/j.isci.2020.101923] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 2.5] [Reference Citation Analysis]
61 Salvan P, Lazari A, Vidaurre D, Mandino F, Johansen-Berg H, Grandjean J. Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics. Cell Rep 2021;37:109954. [PMID: 34731612 DOI: 10.1016/j.celrep.2021.109954] [Reference Citation Analysis]
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63 Meadows R, Nettleton S, Hine C, Ellis J. Counting sleep? Critical reflections on a UK national sleep strategy. Critical Public Health 2021;31:494-9. [DOI: 10.1080/09581596.2020.1744525] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
64 Charquero-Ballester M, Kleim B, Vidaurre D, Ruff C, Stark E, Tuulari JJ, McManners H, Bar-Haim Y, Bouquillon L, Moseley A, Williams SCR, Woolrich MW, Kringelbach ML, Ehlers A. Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks. Hum Brain Mapp 2022. [PMID: 35393717 DOI: 10.1002/hbm.25846] [Reference Citation Analysis]
65 Wein S, Deco G, Tomé AM, Goldhacker M, Malloni WM, Greenlee MW, Lang EW. Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning. Comput Intell Neurosci 2021;2021:5573740. [PMID: 34135951 DOI: 10.1155/2021/5573740] [Reference Citation Analysis]
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67 Jun S, Alderson TH, Altmann A, Sadaghiani S. Dynamic trajectories of connectome state transitions are heritable. Neuroimage 2022;:119274. [PMID: 35504564 DOI: 10.1016/j.neuroimage.2022.119274] [Reference Citation Analysis]
68 Ahrends C, Stevner A, Pervaiz U, Kringelbach ML, Vuust P, Woolrich MW, Vidaurre D. Data and model considerations for estimating time-varying functional connectivity in fMRI. Neuroimage 2022;252:119026. [PMID: 35217207 DOI: 10.1016/j.neuroimage.2022.119026] [Reference Citation Analysis]