{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T11:35:02Z","timestamp":1758281702127,"version":"3.44.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032051615","type":"print"},{"value":"9783032051622","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-05162-2_58","type":"book-chapter","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T23:26:09Z","timestamp":1758237969000},"page":"605-615","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ShareLink: Neuro-Inspired EEG-Based Cross-Subject Emotion Recognition via\u00a0Shared Bi-hemisphere"],"prefix":"10.1007","author":[{"given":"Zixuan","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingyao","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Licheng","family":"Ao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyi","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"An","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fen","family":"Miao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,19]]},"reference":[{"key":"58_CR1","first-page":"34600","volume":"35","author":"Z Chi","year":"2022","unstructured":"Chi, Z., et al.: On the representation collapse of sparse mixture of experts. Adv. Neural. Inf. Process. Syst. 35, 34600\u201334613 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"58_CR2","unstructured":"Chougule, S., Bhosale, S., Borle, V., Chaugule, V., Mali, Y.: Emotion recognition based personal entertainment robot using ML and IP. Emotion 5(8) (2020)"},{"issue":"3","key":"58_CR3","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1109\/TPAMI.2016.2547397","volume":"39","author":"WS Chu","year":"2016","unstructured":"Chu, W.S., De la Torre, F., Cohn, J.F.: Selective transfer machine for personalized facial expression analysis. IEEE Trans. Pattern Anal. Mach. Intell. 39(3), 529\u2013545 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"58_CR4","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.bbr.2015.04.006","volume":"288","author":"EY Costanzo","year":"2015","unstructured":"Costanzo, E.Y., et al.: Hemispheric specialization in affective responses, cerebral dominance for language, and handedness: lateralization of emotion, language, and dexterity. Behav. Brain Res. 288, 11\u201319 (2015)","journal-title":"Behav. Brain Res."},{"key":"58_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106243","volume":"205","author":"H Cui","year":"2020","unstructured":"Cui, H., Liu, A., Zhang, X., Chen, X., Wang, K., Chen, X.: Eeg-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network. Knowl.-Based Syst. 205, 106243 (2020)","journal-title":"Knowl.-Based Syst."},{"key":"58_CR6","unstructured":"Defferrard, M., Bresson, X., Vandergheynst, P.: Convolutional neural networks on graphs with fast localized spectral filtering. Adv. neural inf. proc. syst. 29 (2016)"},{"issue":"3","key":"58_CR7","doi-asserted-by":"publisher","first-page":"2238","DOI":"10.1109\/TAFFC.2022.3169001","volume":"14","author":"Y Ding","year":"2022","unstructured":"Ding, Y., Robinson, N., Zhang, S., Zeng, Q., Guan, C.: Tsception: capturing temporal dynamics and spatial asymmetry from EEG for emotion recognition. IEEE Trans. Affect. Comput. 14(3), 2238\u20132250 (2022)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"58_CR8","unstructured":"Ferrari, V., Zisserman, A.: Learning visual attributes. Adv. neural inf. proc. syst. 20 (2007)"},{"issue":"59","key":"58_CR9","first-page":"1","volume":"17","author":"Y Ganin","year":"2016","unstructured":"Ganin, Y., et al.: Domain-adversarial training of neural networks. J. Mach. Learn. Res. 17(59), 1\u201335 (2016)","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"58_CR10","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1111\/j.1469-8986.2009.00958.x","volume":"47","author":"JD Herrington","year":"2010","unstructured":"Herrington, J.D., et al.: Localization of asymmetric brain function in emotion and depression. Psychophysiology 47(3), 442\u2013454 (2010)","journal-title":"Psychophysiology"},{"key":"58_CR11","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.neucom.2021.03.105","volume":"448","author":"D Huang","year":"2021","unstructured":"Huang, D., Chen, S., Liu, C., Zheng, L., Tian, Z., Jiang, D.: Differences first in asymmetric brain: a bi-hemisphere discrepancy convolutional neural network for EEg emotion recognition. Neurocomputing 448, 140\u2013151 (2021)","journal-title":"Neurocomputing"},{"key":"58_CR12","first-page":"1391","volume":"10","author":"T Kanamori","year":"2009","unstructured":"Kanamori, T., Hido, S., Sugiyama, M.: A least-squares approach to direct importance estimation. J. Mach. Learn. Res. 10, 1391\u20131445 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"58_CR13","unstructured":"Li, B., et al.: Sparse mixture-of-experts are domain generalizable learners. arXiv preprint arXiv:2206.04046 (2022)"},{"key":"58_CR14","doi-asserted-by":"publisher","unstructured":"Li, H., Jin, Y.-M., Zheng, W.-L., Lu, B.-L.: Cross-Subject Emotion Recognition Using Deep Adaptation Networks. In: Cheng, L., Leung, A.C.S., Ozawa, S. (eds.) ICONIP 2018. LNCS, vol. 11305, pp. 403\u2013413. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-04221-9_36","DOI":"10.1007\/978-3-030-04221-9_36"},{"issue":"11","key":"58_CR15","doi-asserted-by":"publisher","first-page":"3832","DOI":"10.1109\/TVCG.2022.3203099","volume":"28","author":"M Li","year":"2022","unstructured":"Li, M., et al.: Neurophysiological and subjective analysis of VR emotion induction paradigm. IEEE Trans. Visual Comput. Graphics 28(11), 3832\u20133842 (2022)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"2","key":"58_CR16","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1109\/TCDS.2020.2999337","volume":"13","author":"Y Li","year":"2020","unstructured":"Li, Y., Wang, L., Zheng, W., Zong, Y., Qi, L., Cui, Z., Zhang, T., Song, T.: A novel bi-hemispheric discrepancy model for eeg emotion recognition. Trans. Cognitive Devel. Syst. 13(2), 354\u2013367 (2020)","journal-title":"Trans. Cognitive Devel. Syst."},{"key":"58_CR17","doi-asserted-by":"crossref","unstructured":"Lin, Y., et al.: Brain region knowledge based dual-stream transformer for EEG emotion recognition. In: IEEE Transactions on Consumer Electronics (2025)","DOI":"10.1109\/TCE.2025.3552801"},{"issue":"9","key":"58_CR18","doi-asserted-by":"publisher","first-page":"10703","DOI":"10.1109\/TPAMI.2023.3257846","volume":"45","author":"D Liu","year":"2023","unstructured":"Liu, D., Dai, W., Zhang, H., Jin, X., Cao, J., Kong, W.: Brain-machine coupled learning method for facial emotion recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(9), 10703\u201310717 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"58_CR19","doi-asserted-by":"crossref","unstructured":"Ocklenburg, S., Guo, Z.V.: Cross-hemispheric communication: insights on lateralized brain functions. Neuron (2024)","DOI":"10.1016\/j.neuron.2024.02.010"},{"key":"58_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2022.102283","volume":"214","author":"S Ocklenburg","year":"2022","unstructured":"Ocklenburg, S., Peterburs, J., Mundorf, A.: Hemispheric asymmetries in the amygdala: a comparative primer. Prog. Neurobiol. 214, 102283 (2022)","journal-title":"Prog. Neurobiol."},{"issue":"2","key":"58_CR21","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Tsang, I.W., Kwok, J.T., Yang, Q.: Domain adaptation via transfer component analysis. IEEE Trans. Neural Netw. 22(2), 199\u2013210 (2010)","journal-title":"IEEE Trans. Neural Netw."},{"key":"58_CR22","first-page":"8583","volume":"34","author":"C Riquelme","year":"2021","unstructured":"Riquelme, C., et al.: Scaling vision with sparse mixture of experts. Adv. Neural. Inf. Process. Syst. 34, 8583\u20138595 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"3","key":"58_CR23","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1109\/TAFFC.2018.2817622","volume":"11","author":"T Song","year":"2018","unstructured":"Song, T., Zheng, W., Song, P., Cui, Z.: EEG emotion recognition using dynamical graph convolutional neural networks. IEEE Trans. Affect. Comput. 11(3), 532\u2013541 (2018)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"58_CR24","doi-asserted-by":"publisher","unstructured":"Sun, B., Saenko, K.: Deep CORAL: Correlation Alignment for Deep Domain Adaptation. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016. LNCS, vol. 9915, pp. 443\u2013450. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-49409-8_35","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"58_CR25","unstructured":"Tzeng, E., Hoffman, J., Zhang, N., Saenko, K., Darrell, T.: Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474 (2014)"},{"key":"58_CR26","doi-asserted-by":"crossref","unstructured":"Wang, S., Zhou, T., Shen, Y., Li, Y., Huang, G., Hu, Y.: Generative AI enables eeg super-resolution via spatio-temporal adaptive diffusion learning. In: IEEE Transactions on Consumer Electronics (2025)","DOI":"10.1109\/TCE.2025.3528438"},{"issue":"3","key":"58_CR27","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1109\/TCYB.2018.2797176","volume":"49","author":"WL Zheng","year":"2018","unstructured":"Zheng, W.L., Liu, W., Lu, Y., Lu, B.L., Cichocki, A.: Emotionmeter: a multimodal framework for recognizing human emotions. IEEE trans. cybern. 49(3), 1110\u20131122 (2018)","journal-title":"IEEE trans. cybern."},{"issue":"3","key":"58_CR28","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1109\/TAMD.2015.2431497","volume":"7","author":"WL Zheng","year":"2015","unstructured":"Zheng, W.L., Lu, B.L.: Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks. IEEE Trans. Auton. Ment. Dev. 7(3), 162\u2013175 (2015)","journal-title":"IEEE Trans. Auton. Ment. Dev."},{"key":"58_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.107324","volume":"102","author":"B Zhou","year":"2025","unstructured":"Zhou, B., Lin, L., Chen, J.: Enhancing emotion recognition through brain asymmetry and multi-angle fusion network. Biomed. Signal Process. Control 102, 107324 (2025)","journal-title":"Biomed. Signal Process. Control"},{"key":"58_CR30","unstructured":"Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: Object detectors emerge in deep scene cnns. arXiv preprint arXiv:1412.6856 (2014)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05162-2_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T23:26:15Z","timestamp":1758237975000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05162-2_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,19]]},"ISBN":["9783032051615","9783032051622"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05162-2_58","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,19]]},"assertion":[{"value":"19 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare\u00a0that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}