{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T23:49:19Z","timestamp":1782863359415,"version":"3.54.5"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100004332","name":"Seoul National University Hospital","doi-asserted-by":"publisher","award":["0320210350"],"award-info":[{"award-number":["0320210350"]}],"id":[{"id":"10.13039\/501100004332","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-02658-9","type":"journal-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T19:01:00Z","timestamp":1748026860000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Predicting outcomes in patients with sepsis-associated encephalopathy using prefrontal functional connectivity analysis"],"prefix":"10.1038","volume":"15","author":[{"given":"Tae Jung","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae-Myoung","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji Sung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soo-Hyun","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihyun","family":"Cha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyeon-Min","family":"Bae","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang-Bae","family":"Ko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"2658_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12871-020-01203-7","volume":"20","author":"S Czajka","year":"2020","unstructured":"Czajka, S. et al. Validation of APACHE II, APACHE III and SAPS II scores in in-hospital and one year mortality prediction in a mixed intensive care unit in Poland: A cohort study. BMC Anesthesiol. 20, 1\u20138 (2020).","journal-title":"BMC Anesthesiol."},{"key":"2658_CR2","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1097\/00003246-199811000-00016","volume":"26","author":"J-L Vincent","year":"1998","unstructured":"Vincent, J.-L. et al. Use of the SOFA score to assess the incidence of organ dysfunction\/failure in intensive care units: Results of a multicenter, prospective study. Crit. Care Med. 26, 1793\u20131800 (1998).","journal-title":"Crit. Care Med."},{"key":"2658_CR3","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1001\/jama.2016.0287","volume":"315","author":"M Singer","year":"2016","unstructured":"Singer, M. et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 315, 801\u2013810 (2016).","journal-title":"JAMA"},{"key":"2658_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18700\/jnc.220058","volume":"15","author":"A Dono","year":"2022","unstructured":"Dono, A., Esquenazi, Y. & Choi, H. A. Gut microbiome and neurocritically ill patients. J. Neurocritical Care 15, 1\u201311 (2022).","journal-title":"J. Neurocritical Care"},{"issue":"4","key":"2658_CR5","doi-asserted-by":"publisher","first-page":"527","DOI":"10.4266\/acc.2022.00150","volume":"37","author":"SM Baik","year":"2022","unstructured":"Baik, S. M. et al. Validation of presepsin measurement for mortality prediction of sepsis: a preliminary study. Acute Crit. Care 37(4), 527\u2013532 (2022).","journal-title":"Acute Crit. Care"},{"issue":"1","key":"2658_CR6","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1186\/s13054-023-04655-8","volume":"27","author":"R Sonneville","year":"2023","unstructured":"Sonneville, R. et al. The spectrum of sepsis-associated encephalopathy: A clinical perspective. Crit. Care 27(1), 386 (2023).","journal-title":"Crit. Care"},{"issue":"2","key":"2658_CR7","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/s13311-020-00862-1","volume":"17","author":"A Mazeraud","year":"2020","unstructured":"Mazeraud, A. et al. Septic-associated encephalopathy: A comprehensive review. Neurotherapeutics 17(2), 392\u2013403 (2020).","journal-title":"Neurotherapeutics"},{"issue":"10","key":"2658_CR8","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1038\/nrneurol.2012.183","volume":"8","author":"TE Gofton","year":"2012","unstructured":"Gofton, T. E. & Young, G. B. Sepsis-associated encephalopathy. Nat. Rev. Neurol. 8(10), 557\u2013566 (2012).","journal-title":"Nat. Rev. Neurol."},{"key":"2658_CR9","doi-asserted-by":"publisher","first-page":"762320","DOI":"10.1155\/2014\/762320","volume":"2014","author":"N Chaudhry","year":"2014","unstructured":"Chaudhry, N. & Duggal, A. K. Sepsis associated encephalopathy. Adv. Med. 2014, 762320 (2014).","journal-title":"Adv. Med."},{"issue":"1","key":"2658_CR10","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s12974-020-1701-3","volume":"17","author":"C Ren","year":"2020","unstructured":"Ren, C. et al. Sepsis-associated encephalopathy: A vicious cycle of immunosuppression. J. Neuroinflammation 17(1), 14 (2020).","journal-title":"J. Neuroinflammation"},{"issue":"14","key":"2658_CR11","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2022.912866","volume":"27","author":"H Ito","year":"2022","unstructured":"Ito, H. et al. Sepsis-Associated Encephalopathy: A mini-review of inflammation in the brain and body. Front. Aging Neurosci. 27(14), 912866 (2022).","journal-title":"Front. Aging Neurosci."},{"issue":"8","key":"2658_CR12","doi-asserted-by":"publisher","first-page":"3019","DOI":"10.1097\/00003246-200008000-00057","volume":"28","author":"MC Papadopoulos","year":"2000","unstructured":"Papadopoulos, M. C. et al. Pathophysiology of septic encephalopathy: A review. Crit. Care Med. 28(8), 3019\u20133024 (2000).","journal-title":"Crit. Care Med."},{"issue":"2","key":"2658_CR13","doi-asserted-by":"publisher","first-page":"140","DOI":"10.3988\/jcn.2023.0056","volume":"20","author":"J-M Jung","year":"2024","unstructured":"Jung, J.-M. et al. New directions in infection-associated ischemic stroke. J. Clin. Neurol. 20(2), 140\u2013152 (2024).","journal-title":"J. Clin. Neurol."},{"issue":"1","key":"2658_CR14","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1002\/ana.410330115","volume":"33","author":"CF Bolton","year":"1993","unstructured":"Bolton, C. F., Young, G. B. & Zochodne, D. W. The neurological complications of sepsis. Ann. Neurol. 33(1), 94\u2013100 (1993).","journal-title":"Ann. Neurol."},{"key":"2658_CR15","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.resuscitation.2020.02.031","volume":"150","author":"TJ Kim","year":"2020","unstructured":"Kim, T. J. et al. Prognostication of neurological outcome after cardiac arrest using wavelet phase coherence analysis of cerebral oxygen. Resuscitation 150, 41\u201349 (2020).","journal-title":"Resuscitation"},{"issue":"1","key":"2658_CR16","volume":"8","author":"MA Y\u00fccel","year":"2021","unstructured":"Y\u00fccel, M. A. et al. Best practices for fNIRS publications. Neurophotonics 8(1), 012101 (2021).","journal-title":"Neurophotonics"},{"issue":"16","key":"2658_CR17","doi-asserted-by":"publisher","first-page":"1433551","DOI":"10.3389\/fnagi.2024.1433551","volume":"25","author":"N Ruan","year":"2024","unstructured":"Ruan, N. et al. Cortical activation in elderly patients with Alzheimer\u2019s disease dementia during working memory tasks: a multichannel fNIRS study. Front. Aging Neurosci. 25(16), 1433551 (2024).","journal-title":"Front. Aging Neurosci."},{"issue":"6","key":"2658_CR18","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1111\/pcn.12643","volume":"72","author":"S Ueda","year":"2018","unstructured":"Ueda, S. et al. Reduced prefrontal hemodynamic response in adult attention-deficit hyperactivity disorder as measured by near-infrared spectroscopy. Psychiatry Clin. Neurosci. 72(6), 380\u2013390 (2018).","journal-title":"Psychiatry Clin. Neurosci."},{"issue":"12","key":"2658_CR19","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.659814","volume":"21","author":"S-Y Dong","year":"2021","unstructured":"Dong, S.-Y. et al. Prefrontal functional connectivity during the verbal fluency task in patients with major depressive disorder: A functional near-infrared spectroscopy study. Front. Psychiatry. 21(12), 659814 (2021).","journal-title":"Front. Psychiatry."},{"issue":"4","key":"2658_CR20","first-page":"19","volume":"17","author":"MD Fox","year":"2010","unstructured":"Fox, M. D. & Greicius, M. Clinical applications of resting state functional connectivity. Front. Syst. Neurosci. 17(4), 19 (2010).","journal-title":"Front. Syst. Neurosci."},{"issue":"1798","key":"2658_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainres.2022.148162","volume":"1","author":"Y Liu","year":"2023","unstructured":"Liu, Y. et al. Detecting residual brain networks in disorders of consciousness: A resting-state fNIRS study. Brain Res. 1(1798), 148162 (2023).","journal-title":"Brain Res."},{"issue":"10 Suppl","key":"2658_CR22","doi-asserted-by":"publisher","first-page":"S331","DOI":"10.1097\/CCM.0b013e3181b6ed58","volume":"37","author":"E Iacobone","year":"2009","unstructured":"Iacobone, E. et al. Sepsis-associated encephalopathy and its differential diagnosis. Crit. Care Med. 37(10 Suppl), S331\u2013S336 (2009).","journal-title":"Crit. Care Med."},{"issue":"3","key":"2658_CR23","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/BF02447083","volume":"26","author":"M Cope","year":"1988","unstructured":"Cope, M. & Delpy, D. T. System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Med. Biol. Eng. Comput. 26(3), 289\u2013294 (1988).","journal-title":"Med. Biol. Eng. Comput."},{"issue":"9","key":"2658_CR24","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1186\/1471-2482-9-11","volume":"29","author":"MT Keegan","year":"2009","unstructured":"Keegan, M. T. et al. APACHE III outcome prediction in patients admitted to the intensive care unit after liver transplantation: a retrospective cohort study. BMC Surg. 29(9), 11 (2009).","journal-title":"BMC Surg."},{"key":"2658_CR25","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1378\/chest.100.6.1619","volume":"100","author":"WA Knaus","year":"1991","unstructured":"Knaus, W. A. et al. The APACHE III prognostic system: Risk prediction of hospital mortality for critically III hospitalized adults. Chest 100, 1619\u20131636 (1991).","journal-title":"Chest"},{"key":"2658_CR26","doi-asserted-by":"crossref","unstructured":"Park, H., Lee, J., Oh, D. K. et al. Investigators KSA. Serial evaluation of the serum lactate level with the SOFA score to predict mortality in patients with sepsis. Sci. Rep. 13(1), 6351 (2023).","DOI":"10.1038\/s41598-023-33227-7"},{"key":"2658_CR27","unstructured":"Jain, S. & Iverson. L. M. Glasgow coma scale (2018)."},{"issue":"9","key":"2658_CR28","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1186\/s13613-019-0562-3","volume":"20","author":"B Gon\u00e7alves","year":"2019","unstructured":"Gon\u00e7alves, B. et al. Incidence and impact of sepsis on long-term outcomes after subarachnoid hemorrhage: A prospective observational study. Ann. Intensive Care 20(9), 94 (2019).","journal-title":"Ann. Intensive Care"},{"issue":"2","key":"2658_CR29","first-page":"95","volume":"18","author":"J Bindra","year":"2016","unstructured":"Bindra, J. et al. Is impaired cerebrovascular autoregulation associated with outcome in patients admitted to the ICU with early septic shock?. Crit. Care Resusc. 18(2), 95\u2013101 (2016).","journal-title":"Crit. Care Resusc."},{"issue":"1","key":"2658_CR30","doi-asserted-by":"publisher","first-page":"13257","DOI":"10.1038\/s41598-018-31685-y","volume":"8","author":"J-M Kim","year":"2018","unstructured":"Kim, J.-M. et al. Assessment of cerebral autoregulation using continuous-wave near-infrared spectroscopy during squat-stand maneuvers in subjects with symptoms of orthostatic intolerance. Sci. Rep. 8(1), 13257 (2018).","journal-title":"Sci. Rep."},{"key":"2658_CR31","unstructured":"OBELAB Inc. (2022). NIRSIT Channel Information. Seoul. Available online at: https:\/\/www.obelab.com\/info\/notice.php"},{"issue":"6","key":"2658_CR32","first-page":"147","volume":"11","author":"RJ Cooper","year":"2012","unstructured":"Cooper, R. J. et al. A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy. Front. Neurosci. 11(6), 147 (2012).","journal-title":"Front. Neurosci."},{"key":"2658_CR33","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.neuroimage.2013.04.082","volume":"85","author":"S Brigadoi","year":"2014","unstructured":"Brigadoi, S. et al. Motion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive data. Neuroimage 85, 181\u2013191 (2014).","journal-title":"Neuroimage"},{"issue":"1","key":"2658_CR34","first-page":"120","volume":"17","author":"MR Siddiquee","year":"2018","unstructured":"Siddiquee, M. R. et al. Movement artefact removal from NIRS signal using multi-channel IMU data. Biomed. Eng. 17(1), 120 (2018).","journal-title":"Biomed. Eng."},{"key":"2658_CR35","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.neubiorev.2017.03.018","volume":"77","author":"X Liao","year":"2017","unstructured":"Liao, X., Vasilakos, A. V. & He, Y. Small-world human brain networks: perspectives and challenges. Neurosci. Biobehav. Rev. 77, 286\u2013300 (2017).","journal-title":"Neurosci. Biobehav. Rev."},{"issue":"8","key":"2658_CR36","doi-asserted-by":"publisher","first-page":"3842","DOI":"10.1364\/BOE.8.003842","volume":"8","author":"FS Racz","year":"2017","unstructured":"Racz, F. S. et al. Increased prefrontal cortex connectivity during cognitive challenge assessed by fNIRS imaging. Biomed. Opt. Express 8(8), 3842\u20133855 (2017).","journal-title":"Biomed. Opt. Express"},{"issue":"3","key":"2658_CR37","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","volume":"52","author":"M Rubinov","year":"2010","unstructured":"Rubinov, M. & Sporns, O. Complex network measures of brain connectivity: Uses and interpretations. Neuroimage 52(3), 1059\u20131069 (2010).","journal-title":"Neuroimage"},{"issue":"7","key":"2658_CR38","doi-asserted-by":"publisher","first-page":"2524","DOI":"10.1364\/BOE.7.002524","volume":"7","author":"SL Novi","year":"2016","unstructured":"Novi, S. L. et al. Resting state connectivity patterns with near-infrared spectroscopy data of the whole head. Biomed. Opt. Express 7(7), 2524\u20132537 (2016).","journal-title":"Biomed. Opt. Express"},{"issue":"8","key":"2658_CR39","doi-asserted-by":"publisher","first-page":"3842","DOI":"10.1364\/BOE.8.003842","volume":"8","author":"FS Racz","year":"2017","unstructured":"Racz, F. S., Mukli, P., Nagy, Z. & Eke, A. Increased prefrontal cortex connectivity during cognitive challenge assessed by fNIRS imaging. Biomed. Opt. Express 8(8), 3842\u20133855 (2017).","journal-title":"Biomed. Opt. Express"},{"issue":"1","key":"2658_CR40","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1002\/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3","volume":"3","author":"WJ Youden","year":"1950","unstructured":"Youden, W. J. Index for rating diagnostic tests. Cancer 3(1), 32\u201335 (1950).","journal-title":"Cancer"},{"issue":"3","key":"2658_CR41","doi-asserted-by":"publisher","first-page":"837","DOI":"10.2307\/2531595","volume":"44","author":"ER DeLong","year":"1988","unstructured":"DeLong, E. R., DeLong, D. M. & Clarke-Pearson, D. L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3), 837\u201345.33 (1988).","journal-title":"Biometrics"},{"issue":"2","key":"2658_CR42","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1007\/s00134-022-06956-y","volume":"49","author":"P P\u00f3voa","year":"2023","unstructured":"P\u00f3voa, P. et al. How to use biomarkers of infection or sepsis at the bedside: Guide to clinicians. Intensive Care Med. 49(2), 142\u2013153 (2023).","journal-title":"Intensive Care Med."},{"issue":"10","key":"2658_CR43","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1038\/nrneurol.2013.177","volume":"9","author":"DJ Stubbs","year":"2013","unstructured":"Stubbs, D. J., Yamamoto, A. K. & Menon, D. K. Imaging in sepsis-associated encephalopathy\u2014Insights and opportunities. Nat. Rev. Neurol. 9(10), 551\u2013561 (2013).","journal-title":"Nat. Rev. Neurol."},{"issue":"10","key":"2658_CR44","doi-asserted-by":"publisher","first-page":"e0293256","DOI":"10.1371\/journal.pone.0293256","volume":"18","author":"H Luo","year":"2023","unstructured":"Luo, H. et al. Association between the first 24 hours PaCO2 and all-cause mortality of patients suffering from sepsis-associated encephalopathy after ICU admission: A retrospective study. PLoS ONE 18(10), e0293256 (2023).","journal-title":"PLoS ONE"},{"issue":"18","key":"2658_CR45","doi-asserted-by":"publisher","first-page":"997","DOI":"10.21037\/atm-22-4319","volume":"10","author":"Y Liu","year":"2022","unstructured":"Liu, Y. et al. Development and validation of a predictive model for in-hospital mortality in patients with sepsis-associated liver injury. Ann. Transl. Med. 10(18), 997 (2022).","journal-title":"Ann. Transl. Med."},{"key":"2658_CR46","first-page":"11","volume":"60","author":"TA Helmy","year":"2024","unstructured":"Helmy, T. A. et al. EEG changes in critically ill patients with sepsis associated encephalopathy and its correlation with morbidity and mortality. Alex. J. Med. 60, 11\u201316 (2024).","journal-title":"Alex. J. Med."},{"issue":"11\u201312","key":"2658_CR47","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1177\/0885066617719750","volume":"34","author":"Q Feng","year":"2019","unstructured":"Feng, Q. et al. Characterization of sepsis and sepsis-associated encephalopathy. J. Intensive Care Med. 34(11\u201312), 938\u2013945 (2019).","journal-title":"J. Intensive Care Med."},{"issue":"1","key":"2658_CR48","doi-asserted-by":"publisher","first-page":"73","DOI":"10.4274\/eamr.galenos.2020.93585","volume":"36","author":"G Orhun","year":"2020","unstructured":"Orhun, G. et al. Clinical and electroencephalographic findings in patients with sepsis-associated encephalopathy and the evaluation of their effects on survival. Eur. Arch. Med. Res. 36(1), 73\u201382 (2020).","journal-title":"Eur. Arch. Med. Res."},{"key":"2658_CR49","unstructured":"Euler, L. Solutio problematis ad geometriam situs pertinentis. Commentarii academiae scientiarum Petropolitanae. 1741, 128\u2013140."},{"issue":"15","key":"2658_CR50","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2021.739265","volume":"16","author":"L Zhao","year":"2021","unstructured":"Zhao, L. et al. Mechanical learning for prediction of sepsis-associated encephalopathy. Front. Comput. Neurosci. 16(15), 739265 (2021).","journal-title":"Front. Comput. Neurosci."},{"issue":"14","key":"2658_CR51","doi-asserted-by":"publisher","first-page":"1084868","DOI":"10.3389\/fneur.2023.1084868","volume":"2","author":"Q Zhao","year":"2023","unstructured":"Zhao, Q. et al. The nomogram to predict the occurrence of sepsis-associated encephalopathy in elderly patients in the intensive care units: A retrospective cohort study. Front. Neurol. 2(14), 1084868 (2023).","journal-title":"Front. Neurol."},{"issue":"14","key":"2658_CR52","doi-asserted-by":"publisher","first-page":"1303075","DOI":"10.3389\/fneur.2023.1303075","volume":"11","author":"J Mei","year":"2024","unstructured":"Mei, J. et al. Optimizing the prediction of sepsis-associated encephalopathy with cerebral circulation time utilizing a nomogram: A pilot study in the intensive care unit. Front. Neurol. 11(14), 1303075 (2024).","journal-title":"Front. Neurol."},{"issue":"1","key":"2658_CR53","doi-asserted-by":"publisher","first-page":"10673","DOI":"10.1038\/s41598-022-14853-z","volume":"12","author":"BES de Ara\u00fajo","year":"2022","unstructured":"de Ara\u00fajo, B. E. S. et al. Clinical features, electroencephalogram, and biomarkers in pediatric sepsis-associated encephalopathy. Sci. Rep. 12(1), 10673 (2022).","journal-title":"Sci. Rep."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-02658-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-02658-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-02658-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T20:02:39Z","timestamp":1748030559000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-02658-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,23]]},"references-count":53,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["2658"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-02658-9","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,23]]},"assertion":[{"value":"7 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"18040"}}