{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T07:04:33Z","timestamp":1779865473021,"version":"3.53.1"},"reference-count":26,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.bspc.2026.110390","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T10:19:22Z","timestamp":1777976362000},"page":"110390","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["MindSAE: Advancing semantic perception for M\/EEG-based visual decoding via unified multimodal alignment framework"],"prefix":"10.1016","volume":"123","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8165-349X","authenticated-orcid":false,"given":"Chengjian","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1700-1133","authenticated-orcid":false,"given":"Yonghao","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0835-3770","authenticated-orcid":false,"given":"Qiong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7726-1901","authenticated-orcid":false,"given":"Qingqing","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.bspc.2026.110390_b1","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"14453","article-title":"High-resolution image reconstruction with latent diffusion models from human brain activity","author":"Takagi","year":"2023"},{"key":"10.1016\/j.bspc.2026.110390_b2","article-title":"Reconstructing the mind\u2019s eye: fMRI-to-image with contrastive learning and diffusion priors","volume":"36","author":"Scotti","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.bspc.2026.110390_b3","doi-asserted-by":"crossref","first-page":"29624","DOI":"10.52202\/068431-2148","article-title":"Mind reader: Reconstructing complex images from brain activities","volume":"35","author":"Lin","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"1","key":"10.1016\/j.bspc.2026.110390_b4","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1038\/s41593-021-00962-x","article-title":"A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence","volume":"25","author":"Allen","year":"2022","journal-title":"Nature Neurosci."},{"key":"10.1016\/j.bspc.2026.110390_b5","series-title":"Visual decoding and reconstruction via EEG embeddings with guided diffusion","author":"Li","year":"2024"},{"key":"10.1016\/j.bspc.2026.110390_b6","series-title":"IJCAI","first-page":"1387","article-title":"Decoding EEG by Visual-guided Deep Neural Networks.","volume":"vol. 28","author":"Jiao","year":"2019"},{"key":"10.1016\/j.bspc.2026.110390_b7","unstructured":"Y. Song, B. Liu, X. Li, N. Shi, Y. Wang, X. Gao, Decoding Natural Images from EEG for Object Recognition, in: International Conference on Learning Representations, 2024."},{"key":"10.1016\/j.bspc.2026.110390_b8","series-title":"Brain decoding: toward real-time reconstruction of visual perception","author":"Benchetrit","year":"2023"},{"issue":"9","key":"10.1016\/j.bspc.2026.110390_b9","doi-asserted-by":"crossref","first-page":"10760","DOI":"10.1109\/TPAMI.2023.3263181","article-title":"Decoding visual neural representations by multimodal learning of brain-visual-linguistic features","volume":"45","author":"Du","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.bspc.2026.110390_b10","series-title":"ACM Multimedia 2024","article-title":"MB2C: Multimodal bidirectional cycle consistency for learning robust visual neural representations","author":"Wei","year":"2024"},{"key":"10.1016\/j.bspc.2026.110390_b11","series-title":"BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction","author":"Fu","year":"2023"},{"key":"10.1016\/j.bspc.2026.110390_b12","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"14486","article-title":"CognitionCapturer: Decoding visual stimuli from human EEG signal with multimodal information","volume":"vol. 39","author":"Zhang","year":"2025"},{"key":"10.1016\/j.bspc.2026.110390_b13","series-title":"International Conference on Machine Learning","first-page":"19730","article-title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","author":"Li","year":"2023"},{"key":"10.1016\/j.bspc.2026.110390_b14","doi-asserted-by":"crossref","unstructured":"H. Liu, C. Li, Y. Li, Y.J. Lee, Improved Baselines with Visual Instruction Tuning, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 26296\u201326306.","DOI":"10.1109\/CVPR52733.2024.02484"},{"key":"10.1016\/j.bspc.2026.110390_b15","series-title":"Qwen2.5-VL Technical Report","author":"Bai","year":"2025"},{"key":"10.1016\/j.bspc.2026.110390_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119754","article-title":"A large and rich EEG dataset for modeling human visual object recognition","volume":"264","author":"Gifford","year":"2022","journal-title":"NeuroImage"},{"key":"10.1016\/j.bspc.2026.110390_b17","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.82580","article-title":"THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior","volume":"12","author":"Hebart","year":"2023","journal-title":"Elife"},{"key":"10.1016\/j.bspc.2026.110390_b18","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.neuroimage.2018.02.044","article-title":"Multivariate pattern analysis for MEG: A comparison of dissimilarity measures","volume":"173","author":"Guggenmos","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.bspc.2026.110390_b19","series-title":"International Conference on Machine Learning","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"key":"10.1016\/j.bspc.2026.110390_b20","series-title":"Openclip","author":"Ilharco","year":"2021"},{"key":"10.1016\/j.bspc.2026.110390_b21","first-page":"25278","article-title":"Laion-5b: An open large-scale dataset for training next generation image-text models","volume":"35","author":"Schuhmann","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"5","key":"10.1016\/j.bspc.2026.110390_b22","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/aace8c","article-title":"EEGNet: A compact convolutional neural network for EEG-based brain\u2013computer interfaces","volume":"15","author":"Lawhern","year":"2018","journal-title":"J. Neural Eng."},{"issue":"11","key":"10.1016\/j.bspc.2026.110390_b23","doi-asserted-by":"crossref","first-page":"5391","DOI":"10.1002\/hbm.23730","article-title":"Deep learning with convolutional neural networks for EEG decoding and visualization","volume":"38","author":"Schirrmeister","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.bspc.2026.110390_b24","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1109\/TNSRE.2022.3230250","article-title":"EEG conformer: Convolutional transformer for EEG decoding and visualization","volume":"31","author":"Song","year":"2022","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.bspc.2026.110390_b25","doi-asserted-by":"crossref","unstructured":"R.R. Selvaraju, M. Cogswell, A. Das, R. Vedantam, D. Parikh, D. Batra, Grad-CAM: Visual explanations from deep networks via gradient-based localization, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 618\u2013626.","DOI":"10.1109\/ICCV.2017.74"},{"key":"10.1016\/j.bspc.2026.110390_b26","series-title":"UMind: A unified multitask network for zero-shot M\/EEG visual decoding","author":"Xu","year":"2025"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426009444?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426009444?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T06:28:16Z","timestamp":1779863296000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426009444"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":26,"alternative-id":["S1746809426009444"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110390","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MindSAE: Advancing semantic perception for M\/EEG-based visual decoding via unified multimodal alignment framework","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110390","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110390"}}