{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T13:19:35Z","timestamp":1783171175981,"version":"3.54.6"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001459","name":"Government of Singapore Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.inffus.2026.104426","type":"journal-article","created":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:52:46Z","timestamp":1777045966000},"page":"104426","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Learning brain structure-function interactions via modularity-guided attention-based graph neural networks"],"prefix":"10.1016","volume":"135","author":[{"given":"Jing","family":"Xia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2393-1110","authenticated-orcid":false,"given":"Yi Hao","family":"Chan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deepank","family":"Girish","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6102-6576","authenticated-orcid":false,"given":"Conghao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7944-1658","authenticated-orcid":false,"given":"Jagath C.","family":"Rajapakse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.inffus.2026.104426_bib0001","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.0010042","article-title":"The human connectome: a structural description of the human brain","volume":"1","author":"Sporns","year":"2005","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.inffus.2026.104426_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2026.103993","article-title":"Neurobridge: bridging functional and structural brain networks via neural coupling and consistency-guided dynamic graph learning","volume":"110","author":"Li","year":"2026","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0003","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1073\/pnas.1912034117","article-title":"Development of structure\u2013function coupling in human brain networks during youth","volume":"117","author":"Baum","year":"2020","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"10","key":"10.1016\/j.inffus.2026.104426_bib0004","doi-asserted-by":"crossref","first-page":"3102","DOI":"10.1002\/hbm.25420","article-title":"Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults","volume":"42","author":"Dhamala","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.inffus.2026.104426_bib0005","doi-asserted-by":"crossref","first-page":"4878","DOI":"10.1109\/TMI.2025.3584231","article-title":"Interpretable dynamic brain network analysis with functional and structural priors","volume":"44","author":"Li","year":"2025","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.inffus.2026.104426_bib0006","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.26575","article-title":"How brain structure\u2013function decoupling supports individual cognition and its molecular mechanism","volume":"45","author":"Dong","year":"2024","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0007","doi-asserted-by":"crossref","first-page":"4894","DOI":"10.1038\/s41467-021-25184-4","article-title":"Heritability and interindividual variability of regional structure-function coupling","volume":"12","author":"Gu","year":"2021","journal-title":"Nat. Commun."},{"key":"10.1016\/j.inffus.2026.104426_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.jns.2022.120452","article-title":"The interplay between structural and functional connectivity in early stage Parkinson\u2019s disease patients","volume":"442","author":"Droby","year":"2022","journal-title":"J. Neurol. Sci."},{"key":"10.1016\/j.inffus.2026.104426_bib0009","article-title":"Optimization of structural connectomes and scaled patterns of structural-functional decoupling in Parkinson\u2019s disease","volume":"284","author":"Wang","year":"2023","journal-title":"NeuroImage"},{"issue":"6","key":"10.1016\/j.inffus.2026.104426_bib0010","doi-asserted-by":"crossref","DOI":"10.1063\/5.0274411","article-title":"Elevated EEG fractal dimension in Parkinson\u2019s during timing tasks","volume":"35","author":"Davoodi","year":"2025","journal-title":"Chaos Interdiscip. J. Nonlinear Sci."},{"key":"10.1016\/j.inffus.2026.104426_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2025.103570","article-title":"Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks","volume":"103","author":"Qu","year":"2025","journal-title":"Med. Image Anal."},{"issue":"4","key":"10.1016\/j.inffus.2026.104426_bib0012","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.tics.2020.01.008","article-title":"Linking structure and function in macroscale brain networks","volume":"24","author":"Su\u00e1rez","year":"2020","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.inffus.2026.104426_bib0013","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.plrev.2022.03.001","article-title":"Networks behind the morphology and structural design of living systems","volume":"41","author":"Gosak","year":"2022","journal-title":"Phys. Life Rev."},{"key":"10.1016\/j.inffus.2026.104426_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2025.103931","article-title":"NeuroDetour: a neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome","volume":"109","author":"Wei","year":"2026","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.inffus.2026.104426_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117609","article-title":"Structure-function coupling in the human connectome: a machine learning approach","volume":"226","author":"Sarwar","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.inffus.2026.104426_bib0016","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.plrev.2024.12.013","article-title":"Patterns of neuronal synchrony in higher-order networks","volume":"52","author":"Majhi","year":"2025","journal-title":"Phys. Life Rev."},{"issue":"24","key":"10.1016\/j.inffus.2026.104426_bib0017","doi-asserted-by":"crossref","first-page":"6297","DOI":"10.1073\/pnas.1801351115","article-title":"Navigation of brain networks","volume":"115","author":"Seguin","year":"2018","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0018","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1146\/annurev-psych-122414-033634","article-title":"Modular brain networks","volume":"67","author":"Sporns","year":"2016","journal-title":"Annu. Rev. Psychol."},{"issue":"49","key":"10.1016\/j.inffus.2026.104426_bib0019","doi-asserted-by":"crossref","first-page":"E6798","DOI":"10.1073\/pnas.1510619112","article-title":"The modular and integrative functional architecture of the human brain","volume":"112","author":"Bertolero","year":"2015","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"3","key":"10.1016\/j.inffus.2026.104426_bib0020","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J. Neurophysiol."},{"issue":"6158","key":"10.1016\/j.inffus.2026.104426_bib0021","doi-asserted-by":"crossref","DOI":"10.1126\/science.1238411","article-title":"Structural and functional brain networks: from connections to cognition","volume":"342","author":"Park","year":"2013","journal-title":"Science"},{"key":"10.1016\/j.inffus.2026.104426_bib0022","series-title":"Medical Imaging with Deep Learning","first-page":"119","article-title":"M-GCN: A multi-modal graph convolutional network to integrate functional and structural connectomics data to predict multidimensional phenotypic characterizations","author":"Dsouza","year":"2021"},{"key":"10.1016\/j.inffus.2026.104426_bib0023","series-title":"AMIA Annual Symposium Proceedings","first-page":"1147","article-title":"Multi-view graph convolutional network and its applications on neuroimage analysis for Parkinson\u2019s disease","volume":"vol. 2018","author":"Zhang","year":"2018"},{"key":"10.1016\/j.inffus.2026.104426_bib0024","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"3558","article-title":"Hypergraph neural networks","volume":"vol. 33","author":"Feng","year":"2019"},{"key":"10.1016\/j.inffus.2026.104426_bib0025","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"231","article-title":"Joint graph convolution for analyzing brain structural and functional connectome","author":"Li","year":"2022"},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0026","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/TMI.2023.3294967","article-title":"Mapping multi-modal brain connectome for brain disorder diagnosis via cross-modal mutual learning","volume":"43","author":"Yang","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104426_bib0027","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"1706","article-title":"Brain structure-function interaction network for fluid cognition prediction","author":"Xia","year":"2023"},{"key":"10.1016\/j.inffus.2026.104426_bib0028","series-title":"Proceedings of the Web Conference 2020","first-page":"2704","article-title":"Heterogeneous graph transformer","author":"Hu","year":"2020"},{"key":"10.1016\/j.inffus.2026.104426_bib0029","doi-asserted-by":"crossref","first-page":"14501","DOI":"10.52202\/068431-1054","article-title":"Recipe for a general, powerful, scalable graph transformer","volume":"35","author":"Ramp\u00e1\u0161ek","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.inffus.2026.104426_bib0030","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","article-title":"IMG-GCN: Interpretable modularity-guided structure-function interactions learning for brain cognition and disorder analysis","author":"Xia","year":"2024"},{"key":"10.1016\/j.inffus.2026.104426_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102233","article-title":"BrainGNN: interpretable brain graph neural network for fMRI analysis","volume":"74","author":"Li","year":"2021","journal-title":"Med. Image Anal."},{"issue":"2","key":"10.1016\/j.inffus.2026.104426_bib0032","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1109\/TMI.2022.3218745","article-title":"BrainGB: a benchmark for brain network analysis with graph neural networks","volume":"42","author":"Cui","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104426_bib0033","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"357","article-title":"CrossViT: cross-attention multi-scale vision transformer for image classification","author":"Chen","year":"2021"},{"key":"10.1016\/j.inffus.2026.104426_bib0034","unstructured":"K. Xu, W. Hu, J. Leskovec, S. Jegelka, How powerful are graph neural networks?, 2018, arXiv: 1810.00826."},{"key":"10.1016\/j.inffus.2026.104426_bib0035","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","article-title":"The WU-Minn human connectome project: an overview","volume":"80","author":"Van Essen","year":"2013","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.inffus.2026.104426_bib0036","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL","volume":"62","author":"Jenkinson","year":"2012","journal-title":"NeuroImage"},{"issue":"4","key":"10.1016\/j.inffus.2026.104426_bib0037","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.pneurobio.2011.09.005","article-title":"The parkinson progression marker initiative (PPMI)","volume":"95","author":"Marek","year":"2011","journal-title":"Prog. Neurobiol."},{"key":"10.1016\/j.inffus.2026.104426_bib0038","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s12021-017-9338-9","article-title":"Multimodal neuroimaging in schizophrenia: description and dissemination","volume":"15","author":"Aine","year":"2017","journal-title":"Neuroinformatics"},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0039","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1038\/s41592-018-0235-4","article-title":"fMRIPrep: a robust preprocessing pipeline for functional MRI","volume":"16","author":"Esteban","year":"2019","journal-title":"Nat. Methods"},{"key":"10.1016\/j.inffus.2026.104426_bib0040","doi-asserted-by":"crossref","DOI":"10.3389\/fninf.2021.689675","article-title":"Clinica: an open-source software platform for reproducible clinical neuroscience studies","volume":"15","author":"Routier","year":"2021","journal-title":"Front. Neuroinforma."},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0041","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.inffus.2026.104426_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.dcn.2019.100699","article-title":"The role of the visual association cortex in scaffolding prefrontal cortex development: a novel mechanism linking socioeconomic status and executive function","volume":"39","author":"Rosen","year":"2019","journal-title":"Dev. Cogn. Neurosci."},{"key":"10.1016\/j.inffus.2026.104426_bib0043","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.93325.3","article-title":"Spatial and temporal pattern of structure-function coupling of human brain connectome with development","volume":"13","author":"Feng","year":"2024","journal-title":"Elife"},{"key":"10.1016\/j.inffus.2026.104426_bib0044","series-title":"Encyclopedia of the Human Brain","author":"Ramachandran","year":"2002"},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0045","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1073\/pnas.1912034117","article-title":"Development of structure\u2013function coupling in human brain networks during youth","volume":"117","author":"Baum","year":"2020","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"5","key":"10.1016\/j.inffus.2026.104426_bib0046","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1002\/hbm.25745","article-title":"Dopamine depletion and subcortical dysfunction disrupt cortical synchronization and metastability affecting cognitive function in Parkinson\u2019s disease","volume":"43","author":"Wang","year":"2022","journal-title":"Hum. Brain Mapp."},{"issue":"2","key":"10.1016\/j.inffus.2026.104426_bib0047","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.neuroimage.2009.05.017","article-title":"MRI characteristics of the substantia nigra in Parkinson\u2019s disease: a combined quantitative T1 and DTI study","volume":"47","author":"Menke","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.inffus.2026.104426_bib0048","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.parkreldis.2021.06.003","article-title":"Progressive microstructural alterations in subcortical nuclei in Parkinson\u2019s disease: a diffusion magnetic resonance imaging study","volume":"88","author":"Bai","year":"2021","journal-title":"Park. Relat. Disord."},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0049","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1038\/s42003-020-01622-9","article-title":"Organisational and neuromodulatory underpinnings of structural-functional connectivity decoupling in patients with Parkinson\u2019s disease","volume":"4","author":"Zarkali","year":"2021","journal-title":"Commun. Biol."},{"issue":"4","key":"10.1016\/j.inffus.2026.104426_bib0050","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1007\/s00429-024-02780-w","article-title":"Altered functional-structural coupling may predict Parkinson\u2019s patient\u2019s depression","volume":"229","author":"Wang","year":"2024","journal-title":"Brain Struct. Funct."},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0051","doi-asserted-by":"crossref","DOI":"10.1093\/schizbullopen\/sgaa056","article-title":"Structural and functional connectivity of visual cortex in schizophrenia and bipolar disorder: a graph-theoretic analysis","volume":"1","author":"Reavis","year":"2020","journal-title":"Schizophr. Bull. Open"},{"issue":"3","key":"10.1016\/j.inffus.2026.104426_bib0052","first-page":"213","article-title":"Alterations of the occipital lobe in schizophrenia","volume":"20","author":"Tohid","year":"2015","journal-title":"Neurosci. J."},{"key":"10.1016\/j.inffus.2026.104426_bib0053","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1016\/j.nicl.2014.05.004","article-title":"Disruption of structure\u2013function coupling in the schizophrenia connectome","volume":"4","author":"Cocchi","year":"2014","journal-title":"NeuroImage Clin."},{"issue":"12","key":"10.1016\/j.inffus.2026.104426_bib0054","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.3390\/electronics14122329","article-title":"Machine learning innovations in renewable energy systems with integrated NRBO-TXAD for enhanced wind speed forecasting accuracy","volume":"14","author":"Hou","year":"2025","journal-title":"Electronics"},{"issue":"1","key":"10.1016\/j.inffus.2026.104426_bib0055","article-title":"Enhanced analog circuit fault diagnosis via continuous wavelet transform and dual-stream convolutional fusion","volume":"15","author":"Hou","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.inffus.2026.104426_bib0056","doi-asserted-by":"crossref","DOI":"10.3389\/fphy.2025.1616367","article-title":"Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification","volume":"13","author":"Hou","year":"2025","journal-title":"Front. Phys."},{"issue":"5","key":"10.1016\/j.inffus.2026.104426_bib0057","doi-asserted-by":"crossref","first-page":"402","DOI":"10.3390\/e26050402","article-title":"Detracking autoencoding conditional generative adversarial network: improved generative adversarial network method for tabular missing value imputation","volume":"26","author":"Liu","year":"2024","journal-title":"Entropy"},{"key":"10.1016\/j.inffus.2026.104426_bib0058","doi-asserted-by":"crossref","first-page":"4891","DOI":"10.1016\/j.egyr.2024.10.050","article-title":"Short-term power load forecast using OOA optimized bidirectional long short-term memory network with spectral attention for the frequency domain","volume":"12","author":"Liu","year":"2024","journal-title":"Energy Rep."}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526003052?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526003052?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T12:35:56Z","timestamp":1783168556000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526003052"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":58,"alternative-id":["S1566253526003052"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104426","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Learning brain structure-function interactions via modularity-guided attention-based graph neural networks","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104426","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104426"}}