{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T05:57:02Z","timestamp":1782280622943,"version":"3.54.5"},"posted":{"date-parts":[[2025,1,27]]},"group-title":"Neuroscience","reference-count":72,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T00:00:00Z","timestamp":1737936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2025,1,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Converging evidence suggests that understanding the human brain requires more than just examining pairwise functional brain interactions. The human brain is a complex, nonlinear system, and focusing solely on linear pairwise functional connectivity often overlooks important nonlinear and higher-order relationships. Infancy is a critical period marked by significant brain development that could contribute to future learning, health, and life success. Exploring higher-order functional relationships in the brain can provide insight into brain function and development. To the best of our knowledge, there is no existing research on multiway, multiscale brain network interactions in infants. In this study, we comprehensively investigate the interactions among brain intrinsic connectivity networks (ICNs), including both pairwise (pair-FNC) and triple relationships (tri-FNC). We focused on an infant dataset collected between birth and six months, a critical period for brain maturation. Our results revealed significant hierarchical, multiway, multiscale brain functional network interactions in the infant brain. These findings suggest that tri-FNC provide additional insights beyond what pairwise interactions reveal during early brain development. The tri-FNC predominantly involve the default mode, sensorimotor, visual, limbic, language, salience, and central executive domains. Notably, these triplet networks align with the classical triple network model of the human brain, which includes the default mode network, the salience network, and the central executive network. This suggests that the brain network system might already be initially established during the first six months of infancy. Interestingly, tri-FNC in the default mode and salience domains showed significantly stronger nonlinear interactions with age compared to pair-FNC. We also found that pair-FNC were less effective at detecting these networks. The present study suggests that exploring tri-FNC can offer additional insights beyond pair-FNC by capturing higher-order nonlinear interactions, potentially yielding more reliable biomarkers to characterize developmental trajectories.<\/jats:p>","DOI":"10.1101\/2025.01.24.634772","type":"posted-content","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T09:40:19Z","timestamp":1737970819000},"source":"Crossref","is-referenced-by-count":2,"title":["Deciphering Multiway Multiscale Brain Network Connectivity: Insights from Birth to 6 Months"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5337-0676","authenticated-orcid":false,"given":"Qiang","family":"Li","sequence":"first","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zening","family":"Fu","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hasse","family":"Walum","sequence":"additional","affiliation":[{"name":"Division of Autism & Related Disabilities, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA"},{"name":"Marcus Autism Center, Children\u2019s Healthcare of Atlanta, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3179-4275","authenticated-orcid":false,"given":"Masoud","family":"Seraji","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA, USA"},{"name":"School of Psychology, University of Texas at Austin, Austin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prerana","family":"Bajracharya","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9058-0747","authenticated-orcid":false,"given":"Vince","family":"Calhoun","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA, USA"},{"name":"Department of Computer Science, Georgia State University, Atlanta, GA, USA"},{"name":"School of Psychology, University of Texas at Austin, Austin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Shultz","sequence":"additional","affiliation":[{"name":"Division of Autism & Related Disabilities, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA"},{"name":"Marcus Autism Center, Children\u2019s Healthcare of Atlanta, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Armin","family":"Iraji","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA, USA"},{"name":"Department of Computer Science, Georgia State University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2026041023014855000_2025.01.24.634772v1.1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.09.006"},{"key":"2026041023014855000_2025.01.24.634772v1.2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1238411"},{"key":"2026041023014855000_2025.01.24.634772v1.3","first-page":"1","article-title":"Multi-spatial scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia","volume":"6","year":"2021","journal-title":"Network Neuroscience"},{"key":"2026041023014855000_2025.01.24.634772v1.4","doi-asserted-by":"crossref","unstructured":"Armin Iraji , Zening Fu , Eswar Damaraju , Thomas DeRamus , Noah Lewis , Juan Bustillo , Rhoshel Lenroot , Aysneil Belger , Judith Ford , Sarah Jacobson McEwen , Daniel Mathalon , Bryon Mueller , Godfrey Pearlson , Steven Potkin , A. Preda , Jessica Turner , Jatin Vaidya , Theo van Erp , and Vince Calhoun . Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function. Human Brain Mapping, 40, 12 2018.","DOI":"10.1101\/391094"},{"key":"2026041023014855000_2025.01.24.634772v1.5","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24342"},{"key":"2026041023014855000_2025.01.24.634772v1.6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cobeha.2016.05.015"},{"key":"2026041023014855000_2025.01.24.634772v1.7","doi-asserted-by":"crossref","unstructured":"Tawny Tsang , Shulamite A. Green , Janelle Liu , Katherine E. Lawrence , Shafali S. Jeste , Susan Y. Bookheimer , and Mirella Dapretto . Salience network connectivity is altered in 6-week-old infants at heightened likelihood for developing autism. Communications Biology, 7, 2024.","DOI":"10.1038\/s42003-024-06016-9"},{"key":"2026041023014855000_2025.01.24.634772v1.8","first-page":"e12768","article-title":"Altered lateralization of dorsal language tracts in 6-week-old infants at risk for autism","volume":"3","year":"2018","journal-title":"Developmental science"},{"key":"2026041023014855000_2025.01.24.634772v1.9","first-page":"1621","article-title":"Functional connectivity during language processing in 3-month-old infants at familial risk for autism spectrum disorder","volume":"53","year":"2020","journal-title":"European Journal of Neuroscience"},{"key":"2026041023014855000_2025.01.24.634772v1.10","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-020-02027-4"},{"key":"2026041023014855000_2025.01.24.634772v1.11","doi-asserted-by":"publisher","DOI":"10.1111\/1467-7687.00310"},{"key":"2026041023014855000_2025.01.24.634772v1.12","doi-asserted-by":"publisher","DOI":"10.1101\/2024.09.19.613960"},{"key":"2026041023014855000_2025.01.24.634772v1.13","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0704380104"},{"key":"2026041023014855000_2025.01.24.634772v1.14","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1007921107"},{"key":"2026041023014855000_2025.01.24.634772v1.15","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhq071"},{"key":"2026041023014855000_2025.01.24.634772v1.16","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0811221106"},{"key":"2026041023014855000_2025.01.24.634772v1.17","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhu088"},{"key":"2026041023014855000_2025.01.24.634772v1.18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0025278"},{"key":"2026041023014855000_2025.01.24.634772v1.19","doi-asserted-by":"publisher","DOI":"10.1038\/nrn.2018.1"},{"key":"2026041023014855000_2025.01.24.634772v1.20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.11.016"},{"key":"2026041023014855000_2025.01.24.634772v1.21","doi-asserted-by":"crossref","unstructured":"Mahnaz Ashrafi and Hamid Soltanian-Zadeh . Multivariate gaussian copula mutual information to estimate functional connectivity with less random architecture. Entropy, 24, 2022.","DOI":"10.3390\/e24050631"},{"key":"2026041023014855000_2025.01.24.634772v1.22","doi-asserted-by":"crossref","unstructured":"Qiang Li , Shujian Yu , Kristoffer H Madsen , Vince D Calhoun , and Armin Iraji . Higher-order organization in the human brain from matrix-based r\u00e9nyi\u2019s entropy. In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), pages 1\u20135, 2023.","DOI":"10.1109\/ICASSPW59220.2023.10193346"},{"key":"2026041023014855000_2025.01.24.634772v1.23","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2022.105918"},{"key":"2026041023014855000_2025.01.24.634772v1.24","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2020.0982"},{"key":"2026041023014855000_2025.01.24.634772v1.25","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.11692"},{"key":"2026041023014855000_2025.01.24.634772v1.26","doi-asserted-by":"publisher","DOI":"10.3390\/e24121725"},{"key":"2026041023014855000_2025.01.24.634772v1.27","doi-asserted-by":"crossref","unstructured":"Armin Iraji , Noah Lewis , Ashkan Faghiri , Zening Fu , Thomas DeRamus , Anees Abrol , Shile Qi , and Vince Calhoun . Functional multi-connectivity: A novel approach to assess multi-way entanglement between networks and voxels. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pages 1698\u20131701, 2020.","DOI":"10.1109\/ISBI45749.2020.9098679"},{"key":"2026041023014855000_2025.01.24.634772v1.28","doi-asserted-by":"publisher","DOI":"10.1147\/rd.41.0066"},{"key":"2026041023014855000_2025.01.24.634772v1.29","doi-asserted-by":"crossref","unstructured":"Federico Battiston , Giulia Cencetti , Iacopo Iacopini , Vito Latora , Maxime Lucas , Alice Patania , Jean-Gabriel Young , and Giovanni Petri . Networks beyond pairwise interactions: Structure and dynamics. Physics Reports, 874, 06 2020.","DOI":"10.1016\/j.physrep.2020.05.004"},{"key":"2026041023014855000_2025.01.24.634772v1.30","first-page":"127143","article-title":"Functional connectivity via total correlation: Analytical results in visual areas","volume":"571","year":"2023","journal-title":"Neurocomputing"},{"key":"2026041023014855000_2025.01.24.634772v1.31","unstructured":"Qiang Li , Vince Calhoun , Adithya Ram Ballem , Shujian Yu , Jesus Malo , and Armin Iraji . Aberrant high-order dependencies in schizophrenia resting-state functional MRI networks. In NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems, 2023."},{"key":"2026041023014855000_2025.01.24.634772v1.32","doi-asserted-by":"crossref","unstructured":"Armin Iraji , Robyn Miller , Tulay Adali , and Vince Calhoun . Space: A missing piece of the dynamic puzzle. Trends in Cognitive Sciences, 24, 01 2020.","DOI":"10.1016\/j.tics.2019.12.004"},{"key":"2026041023014855000_2025.01.24.634772v1.33","doi-asserted-by":"crossref","unstructured":"Armin Iraji , Z. Fu , Ashkan Faghiri , M. Duda , Jiayu Chen , Srinivas Rachakonda , Thomas DeRamus , Peter Kochunov , Bhim Adhikari , A. Belger , Judith Ford , Daniel Mathalon , G. Pearlson , S. Potkin , A. Preda , J. Turner , T. Erp , J. Bustillo , K. Yang , and V. Calhoun . Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fmri datasets. Human Brain Mapping, 44, 10 2023.","DOI":"10.1101\/2022.09.03.506487"},{"key":"2026041023014855000_2025.01.24.634772v1.34","doi-asserted-by":"crossref","unstructured":"Vince D. Calhoun , T. Adali , Godfrey D. Pearlson , and James J. Pekar . A method for making group inferences from functional mri data using independent component analysis. Human Brain Mapping, 14, 2001.","DOI":"10.1002\/hbm.1048"},{"key":"2026041023014855000_2025.01.24.634772v1.35","first-page":"2","article-title":"A baseline for the multivariate comparison of resting-state networks","volume":"5","year":"2011","journal-title":"Frontiers in systems neuroscience"},{"key":"2026041023014855000_2025.01.24.634772v1.36","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102375"},{"key":"2026041023014855000_2025.01.24.634772v1.37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116989"},{"key":"2026041023014855000_2025.01.24.634772v1.38","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1216856110"},{"key":"2026041023014855000_2025.01.24.634772v1.39","doi-asserted-by":"crossref","unstructured":"Ashkan Faghiri , Armin Iraji , T\u00fclay Adali , and Vince D. Calhoun . Analysis of high-order brain networks resolved in time and frequency using cp decomposition. ICASSP 2024 -2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.","DOI":"10.1109\/ICASSP48485.2024.10446864"},{"key":"2026041023014855000_2025.01.24.634772v1.40","unstructured":"Prerana Bajracharya , Shiva Mirzaeian , Zening Fu , Vince Calhoun , Sarah Shultz , and Armin Iraji . Born connected: Do infants already have adult-like multi-scale connectivity networks? bioRxiv, 2024."},{"key":"2026041023014855000_2025.01.24.634772v1.41","unstructured":"Yuhui Du , Elena Allen , Hao He , Jing Sui , Lei Wu , and Vince Calhoun . Artifact removal in the context of group ica: A comparison of single-subject and group approaches. Human Brain Mapping, 12 2015."},{"key":"2026041023014855000_2025.01.24.634772v1.42","doi-asserted-by":"publisher","DOI":"10.30773\/pi.2022.0091"},{"key":"2026041023014855000_2025.01.24.634772v1.43","doi-asserted-by":"crossref","unstructured":"Rachel Corr , Sarah Glier , Joshua Bizzell , Andrea Pelletier-Baldelli , Alana Campbell , Candace Killian-Farrell , and Aysenil Belger . Triple network functional connectivity during acute stress in adolescents and the influence of polyvictimization. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7, 03 2022.","DOI":"10.1016\/j.bpsc.2022.03.003"},{"key":"2026041023014855000_2025.01.24.634772v1.44","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2018.06.012"},{"key":"2026041023014855000_2025.01.24.634772v1.45","doi-asserted-by":"publisher","DOI":"10.1137\/20M1355896"},{"key":"2026041023014855000_2025.01.24.634772v1.46","unstructured":"Austin R. Benson , David F. Gleich , and Desmond J. Higham . Higher-order network analysis takes off, fueled by classical ideas and new data. CoRR, abs\/2103.05031, 2021."},{"key":"2026041023014855000_2025.01.24.634772v1.47","doi-asserted-by":"crossref","unstructured":"Andrea Luppi , Helena Gellersen , Zhen-Qi Liu , Alexander Peattie , Anne Manktelow , Ram Adapa , Adrian Owen , Lorina Naci , David Menon , Stavros Dimitriadis , and Emmanuel Stamatakis . Systematic evaluation of fmri data-processing pipelines for consistent functional connectomics. Nature Communications, 15, 06 2024.","DOI":"10.1038\/s41467-024-48781-5"},{"key":"2026041023014855000_2025.01.24.634772v1.48","doi-asserted-by":"crossref","unstructured":"Yuanzhao Zhang , Maxime Lucas , and Federico Battiston . Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes. Nature Communications, 14, 03 2023.","DOI":"10.1038\/s41467-023-37190-9"},{"key":"2026041023014855000_2025.01.24.634772v1.49","unstructured":"Bastian Rieck , Tristan Yates , Christian Bock , Karsten M. Borgwardt , Guy Wolf , Nicholas B. Turk-Browne , and Smita Krishnaswamy . Uncovering the topology of time-varying fmri data using cubical persistence. In NeurIPS, 2020."},{"key":"2026041023014855000_2025.01.24.634772v1.50","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(78)90275-9"},{"key":"2026041023014855000_2025.01.24.634772v1.51","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.100.032305"},{"key":"2026041023014855000_2025.01.24.634772v1.52","doi-asserted-by":"crossref","unstructured":"Elena Allen , Eswar Damaraju , Sergey Plis , Erik Erhardt , Tom Eichele , and Vince Calhoun . Tracking whole-brain connectivity dynamics in the resting state. Cerebral cortex (New York, N.Y. : 1991), 11 2012.","DOI":"10.1093\/cercor\/bhs352"},{"key":"2026041023014855000_2025.01.24.634772v1.53","doi-asserted-by":"crossref","unstructured":"Armin Iraji , Ashkan Faghiri , Noah Lewis , Zening Fu , Srinivas Rachakonda , and Vince Calhoun . Tools of the trade: Estimating time-varying connectivity patterns from fmri data. Social cognitive and affective neuroscience, 16, 08 2020.","DOI":"10.31234\/osf.io\/mvqj4"},{"key":"2026041023014855000_2025.01.24.634772v1.54","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1705120114"},{"key":"2026041023014855000_2025.01.24.634772v1.55","doi-asserted-by":"crossref","unstructured":"Armin Iraji , Thomas DeRamus , Noah Lewis , Maziar Yaesoubi , Julia Stephen , Erik Erhardt , Aysneil Belger , Judith Ford , Sarah Jacobson McEwen , Daniel Mathalon , Bryon Mueller , Godfrey Pearlson , Steven Potkin , A. Preda , Jessica Turner , Jatin Vaidya , Theo Erp , and Vince Calhoun . The spatial chronnectome reveals a dynamic interplay between functional segregation and integration. Human Brain Mapping, 40, 03 2019.","DOI":"10.1101\/427450"},{"key":"2026041023014855000_2025.01.24.634772v1.56","doi-asserted-by":"crossref","unstructured":"Sarah Shultz , Ami Klin , and Warren Jones . Neonatal transitions in social behavior and their implications for autism. Trends in Cognitive Sciences, 22, 03 2018.","DOI":"10.1016\/j.tics.2018.02.012"},{"key":"2026041023014855000_2025.01.24.634772v1.57","first-page":"20232494","article-title":"Caregiver greeting to infants under 6 months already reflects emerging differences in those later diagnosed with autism","volume":"291","year":"2024","journal-title":"Proceedings B"},{"key":"2026041023014855000_2025.01.24.634772v1.58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119097"},{"key":"2026041023014855000_2025.01.24.634772v1.59","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2023.103434"},{"key":"2026041023014855000_2025.01.24.634772v1.60","first-page":"75","article-title":"Exploring the psychosis functional connectome: Aberrant intrinsic networks in schizophrenia and bipolar disorder","volume":"2","year":"2011","journal-title":"Frontiers in psychiatry \/ Frontiers Research Foundation"},{"key":"2026041023014855000_2025.01.24.634772v1.61","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21170"},{"key":"2026041023014855000_2025.01.24.634772v1.62","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20919"},{"key":"2026041023014855000_2025.01.24.634772v1.63","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.836795"},{"key":"2026041023014855000_2025.01.24.634772v1.64","unstructured":"Cover T. M. and Thomas J. A. Elements of Information Theory, 2nd Edition. Wiley-Interscience, Hoboken, NJ, USA, 2 edition, July 2006."},{"key":"2026041023014855000_2025.01.24.634772v1.65","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.08.042"},{"key":"2026041023014855000_2025.01.24.634772v1.66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118518"},{"key":"2026041023014855000_2025.01.24.634772v1.67","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.6.1129"},{"key":"2026041023014855000_2025.01.24.634772v1.68","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20929"},{"key":"2026041023014855000_2025.01.24.634772v1.69","first-page":"237","article-title":"Ica model order selection of task co-activation networks","volume":"7","year":"2013","journal-title":"Frontiers in Neuroscience"},{"key":"2026041023014855000_2025.01.24.634772v1.70","doi-asserted-by":"publisher","DOI":"10.2307\/2344614"},{"key":"2026041023014855000_2025.01.24.634772v1.71","unstructured":"Trevor Hastie and Robert Tibshirani . Generalized additive models. Wiley Online Library, 1990."},{"key":"2026041023014855000_2025.01.24.634772v1.72","doi-asserted-by":"crossref","unstructured":"Joseph E. Cavanaugh and Andrew A. Neath . The akaike information criterion: Background, derivation, properties, application, interpretation, and refinements. WIREs Comput. Stat., 11(3), apr 2019.","DOI":"10.1002\/wics.1460"}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1101\/2025.01.24.634772","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T05:04:07Z","timestamp":1782277447000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.1101\/2025.01.24.634772"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,27]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1101\/2025.01.24.634772","relation":{"is-preprint-of":[{"id-type":"doi","id":"10.1038\/s42003-026-09549-3","asserted-by":"subject"}]},"subject":[],"published":{"date-parts":[[2025,1,27]]},"subtype":"preprint"}}