{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T14:44:48Z","timestamp":1763563488881,"version":"3.44.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T00:00:00Z","timestamp":1738800000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T00:00:00Z","timestamp":1738800000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"DOI":"10.1007\/s12021-025-09716-7","type":"journal-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T09:00:57Z","timestamp":1738832457000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis"],"prefix":"10.1007","volume":"23","author":[{"given":"Zahra","family":"Rabiei","sequence":"first","affiliation":[]},{"given":"Hussain Montazery","family":"Kordy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,6]]},"reference":[{"key":"9716_CR1","unstructured":"Acar, E., Kolda, T. G., & Dunlavy, D. M. (2011). All-at-once optimization for coupled matrix and tensor factorizations. arXiv preprint arXiv:1105.3422."},{"key":"9716_CR2","doi-asserted-by":"crossref","unstructured":"Acar, E., Gurdeniz, G. Z., Rasmussen, M. A., Rago, D., Dragsted, L. O. (2012). Coupled matrix factorization with sparse factors to identify potential biomarkers in metabolomics. IEEE 12th International Conference on Data Mining Workshops. IEEE.","DOI":"10.1109\/ICDMW.2012.17"},{"key":"9716_CR3","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.chemolab.2013.06.006","volume":"129","author":"E Acar","year":"2013","unstructured":"Acar, E., Rasmussen, M. A., Savorani, F., Naes, T., & Bro, R. (2013). Understanding data fusion within the framework of coupled matrix and tensor factorizations. Chemometrics and Intelligent Laboratory Systems, 129, 53\u201363.","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"9716_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-15-239","volume":"15","author":"E Acar","year":"2014","unstructured":"Acar, E., Papalexakis, E. E., Gurdeniz, G. Z., Rasmussen, M. A., Lawaetz, A. J., et al. (2014). Structure-revealing data fusion. BMC Bioinformatics, 15, 1\u201317.","journal-title":"BMC Bioinformatics"},{"key":"9716_CR5","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1109\/JPROC.2015.2461624","volume":"103","author":"TL Adali","year":"2015","unstructured":"AdaliTL, Levin-Schwartz, Y., & CalhounVD (2015). Multimodal data fusion using source separation: Two effective models based on ICA and IVA and their properties. Proceedings of the IEEE, 103, 1478\u20131493.","journal-title":"Proceedings of the IEEE"},{"issue":"1","key":"9716_CR6","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1038\/s41531-023-00493-1","volume":"9","author":"FI Alanazi","year":"2023","unstructured":"Alanazi, F. I., Kalia, S. K., Hodaie, M., Lopez Rios, A. L., Lozano, A. M., Milosevic, L., et al. (2023). Top-down control of human motor thalamic neuronal activity during the auditory oddball task. Npj Parkinson\u2019s Disease, 9(1), 46.","journal-title":"Npj Parkinson\u2019s Disease"},{"key":"9716_CR7","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1016\/j.sigpro.2004.11.021","volume":"85","author":"M Babaie-Zadeh","year":"2005","unstructured":"Babaie-Zadeh, M., & Jutten, C. (2005). A general approach for mutual information minimization and its application to blind source separation. Signal Processing, 85, 975\u2013995.","journal-title":"Signal Processing"},{"key":"9716_CR8","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/LSP.2003.819344","volume":"11","author":"M Babaie-Zadeh","year":"2004","unstructured":"Babaie-Zadeh, M., Jutten, C., & Nayebi, K. (2004). Differential of the mutual information. IEEE Signal Processing Letters, 11, 48\u201351.","journal-title":"IEEE Signal Processing Letters"},{"key":"9716_CR9","unstructured":"Bader, B. W., & Kolda, T. G. (2012). MATLAB Tensor Toolbox Version 2.5, available online, January."},{"key":"9716_CR10","unstructured":"Chatzichristos, C., Kofidis, E., De Lathauwer, L., Theodoridid, S., & Van Huffel, S. (2020). Early soft and flexible fusion of EEG and fMRI via tensor decompositions. arXiv preprint arXiv:2005.07134."},{"key":"9716_CR11","volume-title":"Tensors for data processing","author":"C Chatzichristos","year":"2023","unstructured":"Chatzichristos, C., Van Eyndhoven, S., Kofidis, E., & Van Huffel, S. (2023). Coupled tensor decompositions for data fusion. Tensors for data processing. Elsevier."},{"key":"9716_CR12","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1109\/JSTSP.2008.2008265","volume":"2","author":"NM Correa","year":"2008","unstructured":"Correa, N. M., Li, Y. O., Adali, T., & Calhoun, V. D. (2008). Canonical correlation analysis for feature-based fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia. IEEE Journal of Selected Topics in Signal Processing, 2, 998\u20131007.","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"9716_CR13","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/MSP.2010.936725","volume":"27","author":"NM Correa","year":"2010","unstructured":"Correa, N. M., Adali, T., Li, Y. O., & Calhoun, V. D. (2010a). Canonical correlation analysis for data fusion and group inferences. IEEE Signal Processing Magazine, 27, 39\u201350.","journal-title":"IEEE Signal Processing Magazine"},{"key":"9716_CR14","doi-asserted-by":"publisher","first-page":"1438","DOI":"10.1016\/j.neuroimage.2010.01.062","volume":"50","author":"NM Correa","year":"2010","unstructured":"Correa, N. M., Eichele, T., Adali, T. L., Li, Y. O., & Calhoun, V. D. (2010b). Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI. Neuroimage, 50, 1438\u20131445.","journal-title":"Neuroimage"},{"key":"9716_CR15","doi-asserted-by":"publisher","DOI":"10.2172\/989350","volume-title":"Poblano v1. 0: a Matlab toolbox for gradient-based optimization","author":"DM Dunlavy","year":"2010","unstructured":"Dunlavy, D. M., Acar, E., & Kolda, T. G. (2010). Poblano v1. 0: A Matlab toolbox for gradient-based optimization. Sandia National Laboratories (SNL)."},{"key":"9716_CR16","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.jneumeth.2015.07.018","volume":"254","author":"S Ferdowsi","year":"2015","unstructured":"Ferdowsi, S., Abolghasemi, V., & Sanei, S. (2015). A new informed tensor factorization approach to EEG-fMRI fusion. Journal of Neuroscience Methods, 254, 27\u201335.","journal-title":"Journal of Neuroscience Methods"},{"key":"9716_CR17","unstructured":"Functional Imaging Laboratory (2020). https:\/\/www.fil.ion.ucl.ac.uk\/spm\/software\/spm12\/"},{"key":"9716_CR18","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neuroimage.2009.03.062","volume":"47","author":"RI Goldman","year":"2009","unstructured":"Goldman, R. I., Wei, C. Y., Philiastides, M. G., Gerson, A. D., Friedman, D., et al. (2009). Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task. Neuroimage, 47, 136\u2013147.","journal-title":"Neuroimage"},{"key":"9716_CR19","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1016\/S0028-3932(03)00090-3","volume":"41","author":"B Gottwald","year":"2003","unstructured":"Gottwald, B., Mihajlovic, Z., Wilde, B., & Mehdorn, H. M. (2003). Does the cerebellum contribute to specific aspects of attention? Neuropsychologia, 41, 1452\u20131460.","journal-title":"Neuropsychologia"},{"key":"9716_CR20","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1007\/s13042-015-0418-6","volume":"7","author":"N Jain","year":"2016","unstructured":"Jain, N., & Murthy, C. A. (2016). New estimate of mutual information based measure of dependence between two variables: Properties and fast implementation. International Journal of Machine Learning and Cybernetics, 7, 857\u2013875.","journal-title":"International Journal of Machine Learning and Cybernetics"},{"key":"9716_CR21","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","volume":"62","author":"M Jenkinson","year":"2012","unstructured":"Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W., & Smith, S. M. (2012). Fsl NeuroImage, 62, 782\u2013790.","journal-title":"Fsl NeuroImage"},{"key":"9716_CR22","doi-asserted-by":"publisher","first-page":"114445","DOI":"10.1016\/j.bbr.2023.114445","volume":"448","author":"Z Jiang","year":"2023","unstructured":"Jiang, Z., Liu, Y., Li, W. D. A. I., & Zou, Y., L (2023). Integration of simultaneous fMRI and EEG source localization in emotional decision problems. Behavioral Brain Research, 448, 114445.","journal-title":"Behavioral Brain Research"},{"key":"9716_CR23","unstructured":"Jimmy, S. (2023). Tools for NIfTI and ANALYZE image. https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/8797-tools-for-nifti-and-analyze-image"},{"key":"9716_CR24","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1007\/s10548-020-00787-0","volume":"33","author":"Y Jonmohamadi","year":"2020","unstructured":"Jonmohamadi, Y., Muthukumaraswamy, S., Chen, J., Roberts, J., Crawford, R., et al. (2020). Extraction of common task features in EEG-fMRI data using coupled tensor-tensor decomposition. Brain Topography, 33, 636\u2013650.","journal-title":"Brain Topography"},{"key":"9716_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12868-018-0422-3","volume":"19","author":"C Justen","year":"2018","unstructured":"Justen, C., & Herbert, C. (2018). The spatio-temporal dynamics of deviance and target detection in the passive and active auditory oddball paradigm: A sLORETA study. BMC Neuroscience, 19, 1\u201318.","journal-title":"BMC Neuroscience"},{"issue":"103","key":"9716_CR26","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1109\/JPROC.2015.2455028","volume":"2015","author":"E Karahan","year":"2015","unstructured":"Karahan, E., Rojas-Lopez, P. A., Bringas-Vega, M. L., Valdes-Hernazdez, P. A., & Valdes, P. A. (2015). Tensor analysis and fusion of multimodal brain images. Proceedings of the IEEE, 2015(103), 1531\u20131559.","journal-title":"Proceedings of the IEEE"},{"key":"9716_CR27","first-page":"133","volume":"38","author":"KA Kieh","year":"2001","unstructured":"Kieh, K. A., Laurens, K. R., Duty, T. L., Forster, B. B., & Liddle, P. F. (2001). Neural sources involved in auditory target detection and novelty processing: An event-related fMRI study. Psychophysiology, 38, 133\u2013142.","journal-title":"Psychophysiology"},{"key":"9716_CR28","doi-asserted-by":"publisher","first-page":"631","DOI":"10.3390\/e19110631","volume":"19","author":"TO Kvalseth","year":"2017","unstructured":"Kvalseth, T. O. (2017). On normalized mutual information: Measure derivations and properties. Entropy, 19, 631.","journal-title":"Entropy"},{"key":"9716_CR29","doi-asserted-by":"crossref","unstructured":"Lahat, D., Adali, T. L., & Jutten, C. (2015). Multimodal data fusion: an overview of methods, challenges, and prospects. Proceedings of the IEEE, 103, 1449\u20131477.","DOI":"10.1109\/JPROC.2015.2460697"},{"key":"9716_CR30","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1142\/S0219635212500203","volume":"11","author":"X Lei","year":"2012","unstructured":"Lei, X., Valdes-Sosa, P. A., & Yao, D. (2012). EEG\/fMRI fusion based on independent component analysis: Integration of data-driven and model-driven methods. Journal of Integrative Neuroscience, 11, 313\u2013337.","journal-title":"Journal of Integrative Neuroscience"},{"key":"9716_CR31","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.tins.2016.06.003","volume":"39","author":"CSF Lima","year":"2016","unstructured":"Lima, C. S. F., Krishnan, S., & Scott, S. K. (2016). Roles of supplementary motor areas in auditory processing and auditory imagery. Trends in Neurosciences, 39, 527\u2013542.","journal-title":"Trends in Neurosciences"},{"key":"9716_CR32","doi-asserted-by":"crossref","unstructured":"Liu, K., So, H. C., Da Costa, J. P. C., & Huang, L. (2013). Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in PARAFAC models. IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE.","DOI":"10.1109\/ICASSP.2013.6638945"},{"key":"9716_CR33","doi-asserted-by":"crossref","unstructured":"Manganas, S., Bourbakis, N. A comparative survey on simultaneous EEG-fMRI methodologies. IEEE 17th International Conference on Bioinformatics and, & Bioengineering (2017). (BIBE). IEEE.","DOI":"10.1109\/BIBE.2017.00-87"},{"key":"9716_CR34","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1016\/j.neuroimage.2004.03.038","volume":"22","author":"E Martnez-Montes","year":"2004","unstructured":"Martnez-Montes, E., Valdes-Sosa, P. A., Miwakeichi, F., Goldman, R. I., & Cohen, M. S. (2004). Concurrent EEG\/fMRI analysis by multiway partial least squares. Neuroimage, 22, 1023\u20131034.","journal-title":"Neuroimage"},{"key":"9716_CR35","unstructured":"McDaid, A. F., Greene, D., & Hurley, N. (2011). Normalized mutual information to evaluate overlapping community finding algorithms. arXiv preprint arXiv:1110.2515."},{"key":"9716_CR36","doi-asserted-by":"crossref","unstructured":"Michalopoulos, K., Zervakis, M., & Bourbakis, N. (2015). Current trends in ERP analysis using EEG and EEG\/fMRI synergistic methods. Modern Electroencephalographic Assessment Techniques: Theory and Applications, 323\u2013350.","DOI":"10.1007\/7657_2013_67"},{"key":"9716_CR37","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.cortex.2018.08.024","volume":"109","author":"MD Mihai","year":"2018","unstructured":"Mihai, M. D., Donos, C., Barborica, A., Popa, I., Ciurea, J., et al. (2018). Functional mapping and effective connectivity of the human operculum. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 109, 303\u2013321.","journal-title":"Cortex; a Journal Devoted to the Study of the Nervous System and Behavior"},{"key":"9716_CR38","doi-asserted-by":"crossref","unstructured":"Mohimani, H., Babaie-Zadeh, M., & Jutten, C. A. (2008). fast approach for overcomplete sparse decomposition based on smoothed $$\\:{l}_{0}$$-norm. IEEE Transactions on Signal Processing, 57, 289\u2013301.","DOI":"10.1109\/TSP.2008.2007606"},{"key":"9716_CR39","doi-asserted-by":"publisher","first-page":"102071","DOI":"10.1016\/j.bspc.2020.102071","volume":"62","author":"R Mosayebi","year":"2020","unstructured":"Mosayebi, R., & Hossein-Zadeh, G. A. (2020). Correlated coupled matrix tensor factorization method for simultaneous EEG-fMRI data fusion. Biomedical Signal Processing and Control, 62, 102071.","journal-title":"Biomedical Signal Processing and Control"},{"key":"9716_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40708-021-00124-6","volume":"8","author":"CA Mugruza-Vassallo","year":"2021","unstructured":"Mugruza-Vassallo, C. A., Potter, D. D., Tsiora, S., Macfarlane, J. A., & Maxwell, A. (2021). Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling. Brain Informatics, 8, 1\u201328.","journal-title":"Brain Informatics"},{"key":"9716_CR41","doi-asserted-by":"publisher","first-page":"1510","DOI":"10.1038\/nn.3818","volume":"17","author":"RA Poldrack","year":"2014","unstructured":"PoldrackRA, & GorgolewskiKJ (2014). Making big data open: Data sharing in neuroimaging. Nature Neuroscience, 17, 1510\u20131517. www.openfmri.org","journal-title":"Nature Neuroscience"},{"key":"9716_CR42","volume-title":"Multimodal Neuroimaging with Simultaneous fMRI and EEG. Handbook of Neuroengineering","author":"GR Poudel","year":"2021","unstructured":"Poudel, G. R., & Jones, R. D. (2021). Multimodal Neuroimaging with simultaneous fMRI and EEG. Handbook of Neuroengineering. Springer."},{"key":"9716_CR43","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.neubiorev.2006.06.008","volume":"30","author":"P Ritter","year":"2006","unstructured":"Ritter, P., & Villringer, A. (2006). Simultaneous EEG-fMRI. Neuroscience & Biobehavioral Reviews, 30, 823\u2013838.","journal-title":"Neuroscience & Biobehavioral Reviews"},{"key":"9716_CR44","doi-asserted-by":"crossref","unstructured":"Rivet, B., Duda, M., Guerin-Dugue, A., Jutten, C., & Comon, P. (2015). Multimodal approach to estimate the ocular movements during EEG recordings: a coupled tensor factorization method, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).","DOI":"10.1109\/EMBC.2015.7319999"},{"key":"9716_CR45","doi-asserted-by":"publisher","first-page":"5940","DOI":"10.1109\/TSP.2014.2360141","volume":"62","author":"N Seichepine","year":"2014","unstructured":"Seichepine, N., Essid, S., Fevotte, C. D., & Cappe, O. (2014). Soft nonnegative matrix co-factorization. IEEE Transactions on Signal Processing, 62, 5940\u20135949.","journal-title":"IEEE Transactions on Signal Processing"},{"key":"9716_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-13-328","volume":"13","author":"L Song","year":"2012","unstructured":"Song, L., Langfelder, P., & Horvath, S. (2012). Comparison of co-expression measures: Mutual information, correlation, and model based indices. BMC Bioinformatics, 13, 1\u201321.","journal-title":"BMC Bioinformatics"},{"key":"9716_CR47","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.ijpsycho.2005.07.012","volume":"60","author":"MC Stevens","year":"2006","unstructured":"Stevens, M. C., Laurens, K. R., Liddle, P. F., & Kiehl, K. A. (2006). The hemodynamics of oddball processing during single-tone and two-tone target detection tasks. International Journal of Psychophysiology, 60, 292\u2013303.","journal-title":"International Journal of Psychophysiology"},{"key":"9716_CR48","unstructured":"Swartz Center for Computational Neuroscience (2021). https:\/\/sccn.ucsd.edu\/eeglab\/downloadtoolbox.php\/"},{"key":"9716_CR49","doi-asserted-by":"crossref","unstructured":"Van Eyndhoven, S., Hunyadi, B. L., De Lathauwer, L., & Van Huffel, S. (2017). Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization. 25th European Signal Processing Conference (EUSIPCO). IEEE.","DOI":"10.23919\/EUSIPCO.2017.8081162"},{"key":"9716_CR50","doi-asserted-by":"crossref","unstructured":"Van Eyndhoven, S., Dupont, P., Tousseyn, S., Vervliet, N., Van Paesschen, W. (2021). Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. NeuroImage.","DOI":"10.1016\/j.neuroimage.2020.117652"},{"key":"9716_CR51","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1177\/1534582304273594","volume":"3","author":"RP Vertes","year":"2004","unstructured":"Vertes, R. P., Hoover, W. B., & Diprisco, G. V. (2004). Theta rhythm of the hippocampus: Subcortical control and functional significance. Behavioral and Cognitive Neuroscience Reviews, 3, 173\u2013200.","journal-title":"Behavioral and Cognitive Neuroscience Reviews"},{"key":"9716_CR52","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.neuroimage.2013.08.014","volume":"102","author":"JM Walz","year":"2014","unstructured":"Walz, J. M., Goldman, R. I., Carapezza, M., Muraskin, J., Brown, T. R., et al. (2014). Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task. Neuroimage, 102, 229\u2013239.","journal-title":"Neuroimage"},{"key":"9716_CR53","doi-asserted-by":"publisher","first-page":"2262","DOI":"10.3390\/s22062262","volume":"22","author":"T Warbrick","year":"2022","unstructured":"Warbrick, T. (2022). Simultaneous EEG-fMRI: What have we learned and what does the future hold? Sensors (Basel, Switzerland), 22, 2262.","journal-title":"Sensors (Basel, Switzerland)"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-025-09716-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12021-025-09716-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-025-09716-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T05:06:34Z","timestamp":1757135194000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12021-025-09716-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,6]]},"references-count":53,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["9716"],"URL":"https:\/\/doi.org\/10.1007\/s12021-025-09716-7","relation":{},"ISSN":["1559-0089"],"issn-type":[{"type":"electronic","value":"1559-0089"}],"subject":[],"published":{"date-parts":[[2025,2,6]]},"assertion":[{"value":"19 January 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2025","order":2,"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":"19"}}