{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T13:48:36Z","timestamp":1761227316583,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819521005","type":"print"},{"value":"9789819521012","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"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\/978-981-95-2101-2_41","type":"book-chapter","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T13:27:29Z","timestamp":1761226049000},"page":"494-507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring the Mechanism Underlying Lower Limb Motor Dysfunction in Ischemic Stroke Based on Multimodal Signals"],"prefix":"10.1007","author":[{"given":"Jiaqi","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulan","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanmei","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,24]]},"reference":[{"key":"41_CR1","doi-asserted-by":"crossref","unstructured":"Caltagirone, C., et al.: Co-Ultramicronized Palmitoylethanolamide\/Luteolin in the Treatment of Cerebral Ischemia: From Rodent to Man. Transl Stroke Res 7, 54\u201369 (2016)","DOI":"10.1007\/s12975-015-0440-8"},{"key":"41_CR2","doi-asserted-by":"publisher","first-page":"2154","DOI":"10.4103\/1673-5374.310607","volume":"16","author":"M Daidone","year":"2021","unstructured":"Daidone, M., Cataldi, M., Pinto, A., Tuttolomondo, A.: Non-coding rnas and other determinants of neuroinflammation and endothelial dysfunction: regulation of gene expression in the acute phase of ischemic stroke and possible therapeutic applications. Neural Regen. Res. 16, 2154\u20132158 (2021)","journal-title":"Neural Regen. Res."},{"key":"41_CR3","doi-asserted-by":"publisher","first-page":"606","DOI":"10.3390\/ijms21020606","volume":"21","author":"S Sanchez-Bezanilla","year":"2020","unstructured":"Sanchez-Bezanilla, S., et al.: Growth hormone promotes motor function after experimental stroke and enhances recovery-promoting mechanisms within the peri-infarct area. Int. J. Mol. Sci. 21, 606 (2020)","journal-title":"Int. J. Mol. Sci."},{"key":"41_CR4","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1016\/S0031-9384(97)00165-0","volume":"62","author":"H Merica","year":"1997","unstructured":"Merica, H., Fortune, R.D.: A neuronal transition probability model for the evolution of power in the sigma and delta frequency bands of sleep eeg. Physiol. Behav. 62, 585\u2013589 (1997)","journal-title":"Physiol. Behav."},{"key":"41_CR5","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1089\/brain.2011.0019","volume":"1","author":"ME Raichle","year":"2011","unstructured":"Raichle, M.E.: The restless brain. Brain Connect 1, 3\u201312 (2011)","journal-title":"Brain Connect"},{"key":"41_CR6","doi-asserted-by":"publisher","first-page":"1010951","DOI":"10.3389\/fnins.2022.1010951","volume":"16","author":"K Yang","year":"2022","unstructured":"Yang, K., et al.: Exploration of effective electroencephalography features for the recognition of different valence emotions. Front. Neurosci. 16, 1010951 (2022)","journal-title":"Front. Neurosci."},{"key":"41_CR7","doi-asserted-by":"crossref","unstructured":"Bezmaternykh, D., et al.: Application of fmri and simultaneous fmri-eeg neurofeedback in post-stroke motor rehabilitation. Bull. Exp. Biol. Med. 171, 379\u2013383 (2021)","DOI":"10.1007\/s10517-021-05232-1"},{"key":"41_CR8","doi-asserted-by":"crossref","unstructured":"Averta, G., et al.: U-Limb: a multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions. GigaScience 10, giab043 (2021)","DOI":"10.1093\/gigascience\/giab043"},{"key":"41_CR9","doi-asserted-by":"publisher","first-page":"197","DOI":"10.2478\/jtim-2022-0057","volume":"12","author":"X Wang","year":"2024","unstructured":"Wang, X., et al.: Impact of the Alberta stroke program Ct Score subregions on long-term functional outcomes in acute ischemic stroke: results from two multicenter studies in China. J. Transl. Int. Med. 12, 197\u2013208 (2024)","journal-title":"J. Transl. Int. Med."},{"key":"41_CR10","doi-asserted-by":"publisher","first-page":"3115","DOI":"10.1523\/JNEUROSCI.2733-15.2016","volume":"36","author":"KA Tsvetanov","year":"2016","unstructured":"Tsvetanov, K.A., et al.: Extrinsic and intrinsic brain network connectivity maintains cognition across the lifespan despite accelerated decay of regional brain activation. J. Neurosci. 36, 3115\u20133126 (2016)","journal-title":"J. Neurosci."},{"key":"41_CR11","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1002\/mds.27942","volume":"35","author":"RL White Iii","year":"2020","unstructured":"White Iii, R.L., Campbell, M.C., Yang, D., Shannon, W., Snyder, A.Z., Perlmutter, J.S.: Little change in functional brain networks following acute levodopa in drug-naive parkinson\u2019s disease. Mov. Disord. 35, 499\u2013503 (2020)","journal-title":"Mov. Disord."},{"key":"41_CR12","doi-asserted-by":"crossref","unstructured":"12Sun, R., Wong, W.-W., Gao, J., Wong, G.F., Tong, R.K.-Y.: Abnormal eeg complexity and alpha oscillation of resting state in chronic stroke patients. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 6053\u20136057 (2021)","DOI":"10.1109\/EMBC46164.2021.9630549"},{"key":"41_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/cc11230","volume":"16","author":"B Foreman","year":"2012","unstructured":"Foreman, B., Claassen, J.: Quantitative eeg for the detection of brain ischemia. Crit. Care 16, 1\u20139 (2012)","journal-title":"Crit. Care"},{"key":"41_CR14","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/0013-4694(81)90007-9","volume":"51","author":"U Tolonen","year":"1981","unstructured":"Tolonen, U., Sulg, I.: Comparison of quantitative eeg parameters from four different analysis techniques in evaluation of relationships between eeg and Cbf in brain infarction. Electroencephalogr. Clin. Neurophysiol. 51, 177\u2013185 (1981)","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"41_CR15","doi-asserted-by":"publisher","first-page":"3388","DOI":"10.1002\/hbm.24183","volume":"39","author":"Z Zhao","year":"2018","unstructured":"Zhao, Z., et al.: Altered intra-and inter-network functional coupling of resting-state networks associated with motor dysfunction in stroke. Hum. Brain Mapp. 39, 3388\u20133397 (2018)","journal-title":"Hum. Brain Mapp."},{"key":"41_CR16","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.gaitpost.2008.05.013","volume":"29","author":"JL Stephenson","year":"2009","unstructured":"Stephenson, J.L., Lamontagne, A., De Serres, S.J.: The coordination of upper and lower limb movements during gait in healthy and stroke individuals. Gait Posture 29, 11\u201316 (2009)","journal-title":"Gait Posture"},{"key":"41_CR17","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1002\/mus.20986","volume":"37","author":"H Wen","year":"2008","unstructured":"Wen, H., et al.: Thigh muscle function in stroke patients revealed by velocity-encoded cine phase-contrast magnetic resonance imaging. Muscle Nerve 37, 736\u2013744 (2008)","journal-title":"Muscle Nerve"},{"key":"41_CR18","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1089\/brain.2011.0055","volume":"1","author":"QK Telesford","year":"2011","unstructured":"Telesford, Q.K., Simpson, S.L., Burdette, J.H., Hayasaka, S., Laurienti, P.J.: The brain as a complex system: using network science as a tool for understanding the brain. Brain Connect 1, 295\u2013308 (2011)","journal-title":"Brain Connect"}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-2101-2_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T13:27:31Z","timestamp":1761226051000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-2101-2_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,24]]},"ISBN":["9789819521005","9789819521012"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-2101-2_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,24]]},"assertion":[{"value":"24 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The study protocol was approved by the Ethics Committee of the 2nd Affiliated Hospital of Harbin Medical University (Harbin, China), and the study was conducted according to the principles of the Helsinki Declaration II. All patients signed an informed consent form.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"The authors declare no competing financial interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}},{"value":"ICIRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Robotics and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Okayama","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"6 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icira2025.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}