{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T13:35:48Z","timestamp":1788183348933,"version":"build-2803163510"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T00:00:00Z","timestamp":1762387200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T00:00:00Z","timestamp":1762387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"crossref","award":["Ricerca Corrente"],"award-info":[{"award-number":["Ricerca Corrente"]}],"id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Regione Toscana,Italy","award":["TuneBeam"],"award-info":[{"award-number":["TuneBeam"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-09233-2","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T13:11:42Z","timestamp":1762434702000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Temporal network instability and low-frequency overconnectivity underlie disorders of consciousness in severe brain injury"],"prefix":"10.1038","volume":"15","author":[{"given":"Diletta","family":"Bartolini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piergiuseppe","family":"Liuzzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Secci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bahia","family":"Hakiki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maenia","family":"Scarpino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachele","family":"Burali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Azzurra","family":"di Palma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanita","family":"Toci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonello","family":"Grippo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Cecchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Frosini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Mannini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,6]]},"reference":[{"key":"9233_CR1","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/S0140-6736(74)91639-0","volume":"2","author":"Graham Teasdale","year":"1974","unstructured":"Teasdale, Graham & Jennett, Bryan. Assessment of Coma and Impaired Consciousness. A Practical Scale. Lancet 2, 81\u20134. https:\/\/doi.org\/10.1016\/S0140-6736(74)91639-0 (1974).","journal-title":"Lancet"},{"issue":"1","key":"9233_CR2","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1007\/s10072-020-04587-z","volume":"42","author":"R Formisano","year":"2021","unstructured":"Formisano, R. Severe acquired brain injury and high specialty neurorehabilitation needs. Neurol. Sci.42(1), 347\u2013348. https:\/\/doi.org\/10.1007\/s10072-020-04587-z (2021).","journal-title":"Neurol. Sci."},{"key":"9233_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/ana.24962","author":"S Wannez","year":"2017","unstructured":"Wannez, S. et al. The repetition of behavioral assessments in diagnosis of disorders of consciousness. Ann. Neurol.https:\/\/doi.org\/10.1002\/ana.24962 (2017).","journal-title":"Ann. Neurol."},{"key":"9233_CR4","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1186\/s12883-020-01924-9","volume":"20","author":"J Wang","year":"2020","unstructured":"Wang, J. et al. The misdiagnosis of prolonged disorders of consciousness by a clinical consensus compared with repeated Coma-Recovery Scale-Revised assessment. BMC Neurol.20, 343. https:\/\/doi.org\/10.1186\/s12883-020-01924-9 (2020).","journal-title":"BMC Neurol."},{"key":"9233_CR5","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1186\/1741-7015-8-68","volume":"8","author":"Steven Laureys","year":"2010","unstructured":"Laureys, Steven et al. Unresponsive wakefulness syndrome: A new name for the vegetative state or apallic syndrome. BMC Med.8, 68. https:\/\/doi.org\/10.1186\/1741-7015-8-68 (2010).","journal-title":"BMC Med."},{"key":"9233_CR6","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1007\/s00415-011-6114-x","volume":"258","author":"Marie-Aur\u00e9lie Bruno","year":"2011","unstructured":"Bruno, Marie-Aur\u00e9lie. et al. From unresponsive wakefulness to minimally conscious PLUS and functional locked-in syndromes: Recent advances in our understanding of disorders of consciousness. J. Neurol.258, 1373\u20131384. https:\/\/doi.org\/10.1007\/s00415-011-6114-x (2011).","journal-title":"J. Neurol."},{"key":"9233_CR7","doi-asserted-by":"publisher","first-page":"2020","DOI":"10.1016\/j.apmr.2004.02.033","volume":"85","author":"Joseph T Giacino","year":"2004","unstructured":"Giacino, Joseph T., Kalmar, Kathleen & Whyte, John. e JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. Arch Phys Med Rehabil 85, 2020\u20139. https:\/\/doi.org\/10.1016\/j.apmr.2004.02.033 (2004).","journal-title":"Arch Phys Med Rehabil"},{"issue":"1","key":"9233_CR8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2202-10-101","volume":"10","author":"W de Haan","year":"2009","unstructured":"de Haan, W. et al. Functional neural network analysis in frontotemporal dementia and Alzheimer\u2019s disease using EEG and graph theory. BMC Neurosci.10(1), 101. https:\/\/doi.org\/10.1186\/1471-2202-10-101 (2009).","journal-title":"BMC Neurosci."},{"issue":"2","key":"9233_CR9","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab7613","volume":"17","author":"F Hasanzadeh","year":"2020","unstructured":"Hasanzadeh, F., Mohebbi, M. & Rostami, R. Graph theory analysis of directed functional brain networks in major depressive disorder based on EEG signal. J. Neural Eng.17(2), 026010. https:\/\/doi.org\/10.1088\/1741-2552\/ab7613 (2020).","journal-title":"J. Neural Eng."},{"key":"9233_CR10","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.nicl.2017.07.022","volume":"16","author":"MY Wang","year":"2017","unstructured":"Wang, M. Y. et al. Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach. Neuroimage Clin.16, 184\u2013195. https:\/\/doi.org\/10.1016\/j.nicl.2017.07.022 (2017).","journal-title":"Neuroimage Clin."},{"issue":"44","key":"9233_CR11","doi-asserted-by":"publisher","first-page":"15775","DOI":"10.1523\/JNEUROSCI.3539-11.2011","volume":"31","author":"MP van den Heuvel","year":"2011","unstructured":"van den Heuvel, M. P. & Sporns, O. Rich-club organization of the human connectome. J. Neurosci.31(44), 15775\u201315786. https:\/\/doi.org\/10.1523\/JNEUROSCI.3539-11.2011 (2011).","journal-title":"J. Neurosci."},{"issue":"19","key":"9233_CR12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.87.198701","volume":"87","author":"V Latora","year":"2001","unstructured":"Latora, V. & Marchiori, M. Efficient behavior of small-world networks. Phys. Rev. Lett.87(19), 198701. https:\/\/doi.org\/10.1103\/PhysRevLett.87.198701 (2001).","journal-title":"Phys. Rev. Lett."},{"key":"9233_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.101841","volume":"23","author":"J Rizkallah","year":"2019","unstructured":"Rizkallah, J. et al. Decreased integration of EEG source-space networks in disorders of consciousness. Neuroimage Clin.23, 101841. https:\/\/doi.org\/10.1016\/j.nicl.2019.101841 (2019).","journal-title":"Neuroimage Clin."},{"key":"9233_CR14","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awx163","author":"S Chennu","year":"2017","unstructured":"Chennu, S. et al. Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness. Brainhttps:\/\/doi.org\/10.1093\/brain\/awx163 (2017).","journal-title":"Brain"},{"key":"9233_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102372","volume":"28","author":"CA Bareham","year":"2020","unstructured":"Bareham, C. A. et al. Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness. Neuroimage Clin.28, 102372. https:\/\/doi.org\/10.1016\/j.nicl.2020.102372 (2020).","journal-title":"Neuroimage Clin."},{"key":"9233_CR16","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awu141","author":"J Sitt","year":"2014","unstructured":"Sitt, J. et al. Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state. Brainhttps:\/\/doi.org\/10.1093\/brain\/awu141 (2014).","journal-title":"Brain"},{"key":"9233_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2021.102682","volume":"30","author":"A Luppi","year":"2021","unstructured":"Luppi, A. et al. Preserved fractal character of structural brain networks is associated with covert consciousness after severe brain injury. Neuroimage Clin.30, 102682. https:\/\/doi.org\/10.1016\/j.nicl.2021.102682 (2021).","journal-title":"Neuroimage Clin."},{"key":"9233_CR18","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.711312","volume":"13","author":"B Hakiki","year":"2022","unstructured":"Hakiki, B. et al. Clinical, neurophysiological, and genetic predictors of recovery in patients with severe acquired brain injuries (PRABI): A study protocol for a longitudinal observational study. Front. Neurol.13, 711312. https:\/\/doi.org\/10.3389\/fneur.2022.711312 (2022).","journal-title":"Front. Neurol."},{"key":"9233_CR19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003887","author":"S Chennu","year":"2014","unstructured":"Chennu, S. et al. Spectral signatures of reorganised brain networks in disorders of consciousness. PLoS Comput. Biol.https:\/\/doi.org\/10.1371\/journal.pcbi.1003887 (2014).","journal-title":"PLoS Comput. Biol."},{"key":"9233_CR20","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awv169","author":"A Demertzi","year":"2015","unstructured":"Demertzi, A. et al. Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients. Brainhttps:\/\/doi.org\/10.1093\/brain\/awv169 (2015).","journal-title":"Brain"},{"key":"9233_CR21","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1093\/brain\/awr175","volume":"134","author":"D Sharp","year":"2011","unstructured":"Sharp, D. et al. Default mode network functional and structural connectivity after traumatic brain injury. Brain134, 2233\u20132247. https:\/\/doi.org\/10.1093\/brain\/awr175 (2011).","journal-title":"Brain"},{"issue":"1","key":"9233_CR22","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1002\/int.4550100107","volume":"10","author":"WJ Freeman","year":"1995","unstructured":"Freeman, W. J. Chaos in the brain: Possible roles in biological intelligence. Int. J. Intell. Syst.10(1), 71\u201388. https:\/\/doi.org\/10.1002\/int.4550100107 (1995).","journal-title":"Int. J. Intell. Syst."},{"issue":"13","key":"9233_CR23","doi-asserted-by":"publisher","first-page":"1806","DOI":"10.1001\/jama.1992.03480130122036","volume":"267","author":"L Lipsitz","year":"1992","unstructured":"Lipsitz, L. & Goldberger, A. Loss of \u201cComplexity\u2019\u2019 and Aging: Potential Applications of Fractals and Chaos Theory to Senescence. JAMA 267(13), 1806\u20131809. https:\/\/doi.org\/10.1001\/jama.1992.03480130122036 (1992).","journal-title":"JAMA"},{"key":"9233_CR24","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1038\/nature03459","volume":"435","author":"AL Barabasi","year":"2005","unstructured":"Barabasi, A. L. The Origins of Bursts and Heavy Tails in Human Dynamics. Nature 435, 207\u2013211. https:\/\/doi.org\/10.1038\/nature03459 (2005).","journal-title":"Nature"},{"issue":"6","key":"9233_CR25","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.1016\/j.clinph.2016.03.021","volume":"127","author":"A Estraneo","year":"2016","unstructured":"Estraneo, A. et al. Standard EEG in diagnostic process of prolonged disorders of consciousness. Clin. Neurophysiol.127(6), 2379\u20132385. https:\/\/doi.org\/10.1016\/j.clinph.2016.03.021 (2016).","journal-title":"Clin. Neurophysiol."},{"issue":"3","key":"9233_CR26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.73.036127","volume":"73","author":"A Vazquez","year":"2006","unstructured":"Vazquez, A. et al. Modeling bursts and heavy tails in human dynamics. Phys. Rev. E73(3), 036127. https:\/\/doi.org\/10.1103\/PhysRevE.73.036127 (2006).","journal-title":"Phys. Rev. E"},{"key":"9233_CR27","doi-asserted-by":"publisher","first-page":"1504","DOI":"10.1109\/TNSRE.2022.3178801","volume":"30","author":"P Liuzzi","year":"2022","unstructured":"Liuzzi, P. et al. Merging clinical and EEG biomarkers in an elastic-net regression for disorder of consciousness prognosis prediction. IEEE Trans. Neural Syst. Rehabil. Eng.30, 1504\u20131513. https:\/\/doi.org\/10.1109\/TNSRE.2022.3178801 (2022).","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"9233_CR28","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1016\/j.apmr.2010.07.218","volume":"91","author":"R Seel","year":"2010","unstructured":"Seel, R. et al. Assessment scales for disorders of consciousness: Evidence-based recommendations for clinical practice and research. Arch. Phys. Med. Rehabil.91, 1795\u20131813. https:\/\/doi.org\/10.1016\/j.apmr.2010.07.218 (2010).","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"9233_CR29","doi-asserted-by":"publisher","first-page":"267","DOI":"10.3389\/fnins.2013.00267","volume":"7","author":"A Gramfort","year":"2013","unstructured":"Gramfort, A. et al. MEG and EEG data analysis with MNE-python. Front. Neurosci.7, 267. https:\/\/doi.org\/10.3389\/fnins.2013.00267 (2013).","journal-title":"Front. Neurosci."},{"key":"9233_CR30","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2015.00016","author":"N Bigdely-Shamlo","year":"2015","unstructured":"Bigdely-Shamlo, N. et al. The PREP pipeline: Standardized preprocessing for large-scale EEG analysis. Front. Neuroinform.https:\/\/doi.org\/10.3389\/fninf.2015.00016 (2015).","journal-title":"Front. Neuroinform."},{"issue":"3","key":"9233_CR31","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/0377-0427(84)90011-6","volume":"11","author":"W Freeden","year":"1984","unstructured":"Freeden, W. Spherical spline interpolation\u2013basic theory and computational aspects. J. Comput. Appl. Math.11(3), 367\u2013375. https:\/\/doi.org\/10.1016\/0377-0427(84)90011-6 (1984).","journal-title":"J. Comput. Appl. Math."},{"issue":"76","key":"9233_CR32","doi-asserted-by":"publisher","DOI":"10.21105\/joss.04484","volume":"7","author":"A Li","year":"2022","unstructured":"Li, A. et al. MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python. J. Open Source Softw.7(76), 4484. https:\/\/doi.org\/10.21105\/joss.04484 (2022).","journal-title":"J. Open Source Softw."},{"issue":"2","key":"9233_CR33","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1162\/NETN_a_00011","volume":"1","author":"WH Thompson","year":"2017","unstructured":"Thompson, W. H., Brantefors, P. & Fransson, P. From static to temporal network theory: Applications to functional brain connectivity. Netw. Neurosci.1(2), 69\u201399. https:\/\/doi.org\/10.1162\/NETN_a_00011 (2017).","journal-title":"Netw. Neurosci."},{"key":"9233_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucli.2019.07.001","author":"M Scarpino","year":"2019","unstructured":"Scarpino, M. et al. Prognostic value of post-acute EEG in severe disorders of consciousness, using American Clinical Neurophysiology Society terminology. Neurophysiol. Clin.https:\/\/doi.org\/10.1016\/j.neucli.2019.07.001 (2019).","journal-title":"Neurophysiol. Clin."},{"key":"9233_CR35","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3389\/fninf.2018.00007","volume":"12","author":"Naoki Masuda","year":"2018","unstructured":"Masuda, Naoki et al. Clustering coefficients for correlation networks. Front. Neuroinform.12, 7. https:\/\/doi.org\/10.3389\/fninf.2018.00007 (2018).","journal-title":"Front. Neuroinform."},{"key":"9233_CR36","first-page":"41454","volume":"7","author":"Da-Wen Huang and Zu-Guo Yu","year":"2018","unstructured":"Da-Wen Huang and Zu-Guo Yu. Dynamic-Sensitive centrality of nodes in temporal networks. Sci. Rep. 7, 41454 (2018).","journal-title":"Sci. Rep."},{"key":"9233_CR37","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.85.026107","author":"Hyoungshick Kim","year":"2012","unstructured":"Kim, Hyoungshick & Anderson, Ross. Temporal node centrality in complex networks. Phys. Rev. Ehttps:\/\/doi.org\/10.1103\/PhysRevE.85.026107 (2012).","journal-title":"Phys. Rev. E"},{"issue":"2","key":"9233_CR38","doi-asserted-by":"publisher","first-page":"e233","DOI":"10.1016\/j.bja.2022.01.019","volume":"130","author":"AK Labonte","year":"2023","unstructured":"Labonte, A. K. et al. The posterior dominant rhythm: An electroencephalographic biomarker for cognitive recovery after general anaesthesia. Br. J. Anaesth.130(2), e233\u2013e242. https:\/\/doi.org\/10.1016\/j.bja.2022.01.019 (2023).","journal-title":"Br. J. Anaesth."},{"issue":"47","key":"9233_CR39","doi-asserted-by":"publisher","first-page":"23772","DOI":"10.1073\/pnas.1913092116","volume":"116","author":"M Halgren","year":"2019","unstructured":"Halgren, M. et al. The generation and propagation of the human alpha rhythm. Proc. Natl. Acad. Sci. U. S. A.116(47), 23772\u201323782. https:\/\/doi.org\/10.1073\/pnas.1913092116 (2019).","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"9233_CR40","doi-asserted-by":"publisher","unstructured":"Chen, Z. et al. \u201cThalamic Circuit Mechanisms Link Sensory Processing in Sleep and Attention\u201d. In: Front Neural Circuits 9. Accessed June 12, 2023. https:\/\/doi.org\/10.3389\/fncir.2015.00083 (2016).","DOI":"10.3389\/fncir.2015.00083"},{"issue":"1","key":"9233_CR41","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1002\/hbm.24787","volume":"41","author":"X Jia","year":"2020","unstructured":"Jia, X. et al. Reconfiguration of dynamic large-scale brain network functional connectivity in generalized tonic-clonic seizures. Hum. Brain Mapp.41(1), 67\u201379. https:\/\/doi.org\/10.1002\/hbm.24787 (2020).","journal-title":"Hum. Brain Mapp."},{"issue":"6","key":"9233_CR42","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1002\/ana.24283","volume":"76","author":"PB Forgacs","year":"2014","unstructured":"Forgacs, P. B. et al. Preservation of electroencephalographic organization in patients with impaired consciousness and imaging-based evidence of command-following. Ann. Neurol.76(6), 869\u2013879. https:\/\/doi.org\/10.1002\/ana.24283 (2014).","journal-title":"Ann. Neurol."},{"issue":"2","key":"9233_CR43","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1002\/acn3.385","volume":"4","author":"PB Forgacs","year":"2017","unstructured":"Forgacs, P. B. et al. Dynamic regimes of neocortical activity linked to corticothalamic integrity correlate with outcomes in acute anoxic brain injury after cardiac arrest. Ann. Clin. Transl. Neurol.4(2), 119\u2013129. https:\/\/doi.org\/10.1002\/acn3.385 (2017).","journal-title":"Ann. Clin. Transl. Neurol."},{"issue":"26","key":"9233_CR44","doi-asserted-by":"publisher","first-page":"8512","DOI":"10.1523\/JNEUROSCI.0754-09.2009","volume":"29","author":"F Freyer","year":"2009","unstructured":"Freyer, F. et al. Bistability and non-Gaussian fluctuations in spontaneous cortical activity. J. Neurosci.29(26), 8512\u20138524. https:\/\/doi.org\/10.1523\/JNEUROSCI.0754-09.2009 (2009).","journal-title":"J. Neurosci."},{"issue":"8","key":"9233_CR45","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002634","volume":"8","author":"F Freyer","year":"2012","unstructured":"Freyer, F. et al. A canonical model of multistability and scale-invariance in biological systems. PLoS Comput. Biol.8(8), e1002634. https:\/\/doi.org\/10.1371\/journal.pcbi.1002634 (2012).","journal-title":"PLoS Comput. Biol."},{"issue":"1","key":"9233_CR46","doi-asserted-by":"publisher","first-page":"39156","DOI":"10.1038\/srep39156","volume":"6","author":"WH Thompson","year":"2016","unstructured":"Thompson, W. H. & Fransson, P. Bursty properties revealed in large-scale brain networks with a point-based method for dynamic functional connectivity. Sci. Rep.6(1), 39156. https:\/\/doi.org\/10.1038\/srep39156 (2016).","journal-title":"Sci. Rep."},{"key":"9233_CR47","unstructured":"Thibaut, A. et al. Spasticity in disorders of consciousness: A behavioral study. Eur J Phys Rehabil Med, 51 (2014)."},{"issue":"6","key":"9233_CR48","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1097\/HTR.0000000000000448","volume":"33","author":"BL Edlow","year":"2018","unstructured":"Edlow, B. L. & Fins, J. J. Assessment of covert consciousness in the intensive care unit: Clinical and ethical considerations. J. Head Trauma Rehabil.33(6), 424. https:\/\/doi.org\/10.1097\/HTR.0000000000000448 (2018).","journal-title":"J. Head Trauma Rehabil."},{"issue":"11","key":"9233_CR49","doi-asserted-by":"publisher","first-page":"2736","DOI":"10.1016\/j.clinph.2020.07.015","volume":"131","author":"A Comanducci","year":"2020","unstructured":"Comanducci, A. et al. Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: Review of an IFCN-endorsed expert group. Clin. Neurophysiol.131(11), 2736\u20132765. https:\/\/doi.org\/10.1016\/j.clinph.2020.07.015 (2020).","journal-title":"Clin. Neurophysiol."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-09233-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-09233-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-09233-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T10:21:57Z","timestamp":1770805317000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-09233-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,6]]},"references-count":49,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["9233"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-09233-2","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,6]]},"assertion":[{"value":"25 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2026","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Update","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The original online version of this Article was revised: Piergiuseppe Liuzzi and Bahia Hakiki were incorrectly affiliated. The correct Information now accompanies the original Article.","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study protocol was approved by the Ethical Committee of Area Vasta Centro (CEAVC), Florence (n. 17024, 31\/03\/20). Written informed consent was signed by the legal guardian.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"NA","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"No competing interests to declare.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"38835"}}