{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,10]],"date-time":"2026-11-10T21:29:14Z","timestamp":1794346154998,"version":"4.9.0"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["8240090098"],"award-info":[{"award-number":["8240090098"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"President Foundation of Zhujiang Hospital, Southern Medical University","award":["yzjj2023qn40"],"award-info":[{"award-number":["yzjj2023qn40"]}]},{"name":"National Natural Science Foundation of China,China\u4e2d\u56fd\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u59d4\u5458\u4f1a,\u4e2d\u56fd","award":["82172526"],"award-info":[{"award-number":["82172526"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation of China","award":["2023A1515010200"],"award-info":[{"award-number":["2023A1515010200"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J NeuroEngineering Rehabil"],"DOI":"10.1186\/s12984-025-01682-0","type":"journal-article","created":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T05:36:09Z","timestamp":1751693769000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Neuroimaging and biological markers of different paretic hand outcomes after stroke"],"prefix":"10.1186","volume":"22","author":[{"given":"Zhujun","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manxu","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binke","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingteng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjun","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaozheng","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,5]]},"reference":[{"issue":"2","key":"1682_CR1","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/S1474-4422(13)70264-3","volume":"13","author":"C Grefkes","year":"2014","unstructured":"Grefkes C, Fink GR. Connectivity-based approaches in stroke and recovery of function. Lancet Neurol. 2014;13(2):206\u201316.","journal-title":"Lancet Neurol"},{"issue":"30","key":"1682_CR2","doi-asserted-by":"publisher","first-page":"E4367","DOI":"10.1073\/pnas.1521083113","volume":"113","author":"JS Siegel","year":"2016","unstructured":"Siegel JS, Ramsey LE, Snyder AZ, Metcalf NV, Chacko RV, Weinberger K, et al. Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke. Proc Natl Acad Sci USA. 2016;113(30):E4367\u201376.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"5","key":"1682_CR3","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1016\/j.neuron.2015.02.027","volume":"85","author":"M Corbetta","year":"2015","unstructured":"Corbetta M, Ramsey L, Callejas A, Baldassarre A, Hacker CD, Siegel JS, et al. Common behavioral clusters and subcortical anatomy in stroke. Neuron. 2015;85(5):927\u201341.","journal-title":"Neuron"},{"issue":"10","key":"1682_CR4","doi-asserted-by":"publisher","first-page":"2795","DOI":"10.1161\/STROKEAHA.113.000971","volume":"44","author":"C Dang","year":"2013","unstructured":"Dang C, Liu G, Xing S, Xie C, Peng K, Li C, et al. Longitudinal cortical volume changes correlate with motor recovery in patients after acute local subcortical infarction. Stroke. 2013;44(10):2795\u2013801.","journal-title":"Stroke"},{"issue":"6","key":"1682_CR5","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1002\/ana.24510","volume":"78","author":"W Feng","year":"2015","unstructured":"Feng W, Wang J, Chhatbar PY, Doughty C, Landsittel D, Lioutas VA, et al. Corticospinal tract lesion load: an imaging biomarker for stroke motor outcomes. Ann Neurol. 2015;78(6):860\u201370.","journal-title":"Ann Neurol"},{"issue":"5","key":"1682_CR6","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1161\/STROKEAHA.110.596155","volume":"42","author":"CH Park","year":"2011","unstructured":"Park CH, Chang WH, Ohn SH, Kim ST, Bang OY, Pascual-Leone A, Kim YH. Longitudinal changes of resting-state functional connectivity during motor recovery after stroke. Stroke. 2011;42(5):1357\u201362.","journal-title":"Stroke"},{"issue":"5","key":"1682_CR7","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1111\/cns.13799","volume":"28","author":"F Liu","year":"2022","unstructured":"Liu F, Chen C, Hong W, Bai Z, Wang S, Lu H, et al. Selectively disrupted sensorimotor circuits in chronic stroke with hand dysfunction. CNS Neurosci Ther. 2022;28(5):677\u201389.","journal-title":"CNS Neurosci Ther"},{"key":"1682_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.102065","volume":"24","author":"W Hong","year":"2019","unstructured":"Hong W, Lin Q, Cui Z, Liu F, Xu R, Tang C. Diverse functional connectivity patterns of resting-state brain networks associated with good and poor hand outcomes following stroke. NeuroImage Clin. 2019;24: 102065.","journal-title":"NeuroImage Clin"},{"issue":"12","key":"1682_CR9","doi-asserted-by":"publisher","first-page":"2116","DOI":"10.1111\/cns.13946","volume":"28","author":"F Liu","year":"2022","unstructured":"Liu F, Chen C, Bai Z, Hong W, Wang S, Tang C. Specific subsystems of the inferior parietal lobule are associated with hand dysfunction following stroke: a cross-sectional resting-state fMRI study. CNS Neurosci Ther. 2022;28(12):2116\u201328.","journal-title":"CNS Neurosci Ther"},{"issue":"7","key":"1682_CR10","doi-asserted-by":"publisher","first-page":"3343","DOI":"10.1002\/hbm.22406","volume":"35","author":"D Yin","year":"2014","unstructured":"Yin D, Song F, Xu D, Sun L, Men W, Zang L, et al. Altered topological properties of the cortical motor-related network in patients with subcortical stroke revealed by graph theoretical analysis. Hum Brain Mapp. 2014;35(7):3343\u201359.","journal-title":"Hum Brain Mapp"},{"issue":"11","key":"1682_CR11","doi-asserted-by":"publisher","first-page":"4373","DOI":"10.1002\/hbm.24277","volume":"39","author":"Z Zhao","year":"2018","unstructured":"Zhao Z, Tang C, Yin D, Wu J, Gong J, Sun L, et al. Frequency-specific alterations of regional homogeneity in subcortical stroke patients with different outcomes in hand function. Hum Brain Mapp. 2018;39(11):4373\u201384.","journal-title":"Hum Brain Mapp"},{"issue":"10","key":"1682_CR12","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1016\/S1474-4422(17)30283-1","volume":"16","author":"CM Stinear","year":"2017","unstructured":"Stinear CM. Prediction of motor recovery after stroke: advances in biomarkers. Lancet Neurol. 2017;16(10):826\u201336.","journal-title":"Lancet Neurol"},{"issue":"Pt 8","key":"1682_CR13","doi-asserted-by":"publisher","first-page":"2527","DOI":"10.1093\/brain\/aws146","volume":"135","author":"CM Stinear","year":"2012","unstructured":"Stinear CM, Barber PA, Petoe M, Anwar S, Byblow WD. The PREP algorithm predicts potential for upper limb recovery after stroke. Brain A J Neurol. 2012;135(Pt 8):2527\u201335.","journal-title":"Brain A J Neurol"},{"issue":"10","key":"1682_CR14","doi-asserted-by":"publisher","first-page":"4734","DOI":"10.1073\/pnas.0911855107","volume":"107","author":"BB Biswal","year":"2010","unstructured":"Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, et al. Toward discovery science of human brain function. Proc Natl Acad Sci USA. 2010;107(10):4734\u20139.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"4","key":"1682_CR15","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1177\/1545968319899919","volume":"34","author":"X Wang","year":"2020","unstructured":"Wang X, Wang H, Xiong X, Sun C, Zhu B, Xu Y, et al. Motor Imagery Training After Stroke Increases Slow-5 Oscillations and Functional Connectivity in the Ipsilesional Inferior Parietal Lobule. Neurorehabil Neural Repair. 2020;34(4):321\u201332.","journal-title":"Neurorehabil Neural Repair"},{"key":"1682_CR16","doi-asserted-by":"publisher","first-page":"1228645","DOI":"10.3389\/fnins.2023.1228645","volume":"17","author":"L Guo","year":"2023","unstructured":"Guo L, Zhao Z, Yang X, Shi W, Wang P, Qin D, et al. Alterations of dynamic and static brain functional activities and integration in stroke patients. Front Neurosci. 2023;17:1228645.","journal-title":"Front Neurosci"},{"issue":"4","key":"1682_CR17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0152875","volume":"11","author":"C Tang","year":"2016","unstructured":"Tang C, Zhao Z, Chen C, Zheng X, Sun F, Zhang X, et al. Decreased functional connectivity of homotopic brain regions in chronic stroke patients: a resting state fMRI study. PLoS ONE. 2016;11(4): e0152875.","journal-title":"PLoS ONE"},{"issue":"3","key":"1682_CR18","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1038\/nn.4478","volume":"20","author":"C-W Woo","year":"2017","unstructured":"Woo C-W, Chang LJ, Lindquist MA, Wager TD. Building better biomarkers: brain models in translational neuroimaging. Nat Neurosci. 2017;20(3):365\u201377.","journal-title":"Nat Neurosci"},{"issue":"9","key":"1682_CR19","first-page":"3046","volume":"25","author":"AK Rehme","year":"2015","unstructured":"Rehme AK, Volz LJ, Feis DL, Bomilcar-Focke I, Liebig T, Eickhoff SB, et al. Identifying neuroimaging markers of motor disability in acute stroke by machine learning techniques. Cerebral cortex (New York, NY: 1991). 2015;25(9):3046\u201356.","journal-title":"Cerebral cortex (New York, NY: 1991)"},{"issue":"11","key":"1682_CR20","doi-asserted-by":"publisher","first-page":"4553","DOI":"10.1002\/hbm.22936","volume":"36","author":"AK Rehme","year":"2015","unstructured":"Rehme AK, Volz LJ, Feis DL, Eickhoff SB, Fink GR, Grefkes C. Individual prediction of chronic motor outcome in the acute post-stroke stage: behavioral parameters versus functional imaging. Hum Brain Mapp. 2015;36(11):4553\u201365.","journal-title":"Hum Brain Mapp"},{"issue":"1","key":"1682_CR21","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1177\/15459683211054178","volume":"36","author":"G Liu","year":"2022","unstructured":"Liu G, Wu J, Dang C, Tan S, Peng K, Guo Y, et al. Machine learning for predicting motor improvement after acute subcortical infarction using baseline whole brain volumes. Neurorehabil Neural Repair. 2022;36(1):38\u201348.","journal-title":"Neurorehabil Neural Repair"},{"issue":"7","key":"1682_CR22","doi-asserted-by":"publisher","first-page":"2107","DOI":"10.1093\/brain\/awab082","volume":"144","author":"PJ Koch","year":"2021","unstructured":"Koch PJ, Park CH, Girard G, Beanato E, Egger P, Evangelista GG, et al. The structural connectome and motor recovery after stroke: predicting natural recovery. Brain A J Neurol. 2021;144(7):2107\u201319.","journal-title":"Brain A J Neurol"},{"issue":"2","key":"1682_CR23","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1093\/brain\/awab439","volume":"145","author":"AK Bonkhoff","year":"2022","unstructured":"Bonkhoff AK, Grefkes C. Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence. Brain A J Neurol. 2022;145(2):457\u201375.","journal-title":"Brain A J Neurol"},{"issue":"7416","key":"1682_CR24","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature11405","volume":"489","author":"MJ Hawrylycz","year":"2012","unstructured":"Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, Shen EH, Ng L, Miller JA, et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature. 2012;489(7416):391\u20139.","journal-title":"Nature"},{"issue":"3","key":"1682_CR25","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1002\/hbm.25244","volume":"42","author":"J Dukart","year":"2021","unstructured":"Dukart J, Holiga S, Rullmann M, Lanzenberger R, Hawkins PCT, Mehta MA, et al. JuSpace: a tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps. Hum Brain Mapp. 2021;42(3):555\u201366.","journal-title":"Hum Brain Mapp"},{"issue":"32","key":"1682_CR26","doi-asserted-by":"publisher","first-page":"9105","DOI":"10.1073\/pnas.1601745113","volume":"113","author":"KJ Whitaker","year":"2016","unstructured":"Whitaker KJ, V\u00e9rtes PE, Romero-Garcia R, V\u00e1\u0161a F, Moutoussis M, Prabhu G, et al. Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome. Proc Natl Acad Sci USA. 2016;113(32):9105\u201310.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"9","key":"1682_CR27","doi-asserted-by":"publisher","first-page":"6305","DOI":"10.1002\/alz.14123","volume":"20","author":"Y Sun","year":"2024","unstructured":"Sun Y, Wang P, Zhao K, Chen P, Qu Y, Li Z, et al. Structure\u2013function coupling reveals the brain hierarchical structure dysfunction in Alzheimer\u2019s disease: a multicenter study. Alzheimer\u2019s Dement. 2024;20(9):6305\u201315.","journal-title":"Alzheimer's Dement"},{"issue":"1","key":"1682_CR28","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.1038\/s41467-021-21943-5","volume":"12","author":"J Li","year":"2021","unstructured":"Li J, Seidlitz J, Suckling J, Fan F, Ji GJ, Meng Y, et al. Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures. Nat Commun. 2021;12(1):1647.","journal-title":"Nat Commun"},{"key":"1682_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2024.120551","volume":"289","author":"M Cai","year":"2024","unstructured":"Cai M, Ji Y, Zhao Q, Xue H, Sun Z, Wang H, et al. Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression. Neuroimage. 2024;289: 120551.","journal-title":"Neuroimage"},{"issue":"11","key":"1682_CR30","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1016\/j.biopsych.2021.12.004","volume":"91","author":"Y Xie","year":"2022","unstructured":"Xie Y, Xu Z, Xia M, Liu J, Shou X, Cui Z, et al. Alterations in connectome dynamics in autism spectrum disorder: a harmonized mega- and meta-analysis study using the autism brain imaging data exchange dataset. Biol Psychiat. 2022;91(11):945\u201355.","journal-title":"Biol Psychiat"},{"issue":"3","key":"1682_CR31","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","volume":"14","author":"CG Yan","year":"2016","unstructured":"Yan CG, Wang XD, Zuo XN, Zang YF. DPABI: data processing and analysis for (Resting-State) Brain Imaging. Neuroinformatics. 2016;14(3):339\u201351.","journal-title":"Neuroinformatics"},{"issue":"6","key":"1682_CR32","doi-asserted-by":"publisher","first-page":"1860","DOI":"10.1523\/JNEUROSCI.5062-08.2009","volume":"29","author":"RL Buckner","year":"2009","unstructured":"Buckner RL, Sepulcre J, Talukdar T, Krienen FM, Liu H, Hedden T, et al. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer\u2019s disease. J Neurosci Off J Soc Neurosci. 2009;29(6):1860\u201373.","journal-title":"J Neurosci Off J Soc Neurosci"},{"issue":"7","key":"1682_CR33","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0068910","volume":"8","author":"M Xia","year":"2013","unstructured":"Xia M, Wang J, He Y. BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS ONE. 2013;8(7): e68910.","journal-title":"PLoS ONE"},{"key":"1682_CR34","doi-asserted-by":"publisher","first-page":"545","DOI":"10.3389\/fnins.2020.00545","volume":"14","author":"Y Peng","year":"2020","unstructured":"Peng Y, Zhang X, Li Y, Su Q, Wang S, Liu F, et al. MVPANI: a toolkit with friendly graphical user interface for multivariate pattern analysis of neuroimaging data. Front Neurosci. 2020;14:545.","journal-title":"Front Neurosci"},{"key":"1682_CR35","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1186\/1471-2105-10-48","volume":"10","author":"E Eden","year":"2009","unstructured":"Eden E, Navon R, Steinfeld I, Lipson D, Yakhini Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinform. 2009;10:48.","journal-title":"BMC Bioinform"},{"issue":"1","key":"1682_CR36","doi-asserted-by":"publisher","first-page":"2669","DOI":"10.1038\/s41467-021-22862-1","volume":"12","author":"BD Fulcher","year":"2021","unstructured":"Fulcher BD, Arnatkeviciute A, Fornito A. Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data. Nat Commun. 2021;12(1):2669.","journal-title":"Nat Commun"},{"issue":"1","key":"1682_CR37","doi-asserted-by":"publisher","first-page":"4237","DOI":"10.1038\/s41467-021-24306-2","volume":"12","author":"A Arnatkeviciute","year":"2021","unstructured":"Arnatkeviciute A, Fulcher BD, Oldham S, Tiego J, Paquola C, Gerring Z, et al. Genetic influences on hub connectivity of the human connectome. Nat Commun. 2021;12(1):4237.","journal-title":"Nat Commun"},{"key":"1682_CR38","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1186\/1471-2105-6-269","volume":"6","author":"HK Lee","year":"2005","unstructured":"Lee HK, Braynen W, Keshav K, Pavlidis P. ErmineJ: tool for functional analysis of gene expression data sets. BMC Bioinformatics. 2005;6:269.","journal-title":"BMC Bioinformatics"},{"issue":"11","key":"1682_CR39","doi-asserted-by":"publisher","first-page":"1569","DOI":"10.1038\/s41593-022-01186-3","volume":"25","author":"JY Hansen","year":"2022","unstructured":"Hansen JY, Shafiei G, Markello RD, Smart K, Cox SML, N\u00f8rgaard M, et al. Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nat Neurosci. 2022;25(11):1569\u201381.","journal-title":"Nat Neurosci"},{"issue":"1","key":"1682_CR40","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1038\/s41398-018-0362-9","volume":"9","author":"X Bu","year":"2019","unstructured":"Bu X, Hu X, Zhang L, Li B, Zhou M, Lu L, et al. Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder. Transl Psychiatry. 2019;9(1):17.","journal-title":"Transl Psychiatry"},{"issue":"33","key":"1682_CR41","doi-asserted-by":"publisher","first-page":"13642","DOI":"10.1073\/pnas.1303346110","volume":"110","author":"D Tomasi","year":"2013","unstructured":"Tomasi D, Wang GJ, Volkow ND. Energetic cost of brain functional connectivity. Proc Natl Acad Sci USA. 2013;110(33):13642\u20137.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"6","key":"1682_CR42","doi-asserted-by":"publisher","first-page":"1553","DOI":"10.1161\/01.STR.0000071761.36075.A6","volume":"34","author":"C Calautti","year":"2003","unstructured":"Calautti C, Baron JC. Functional neuroimaging studies of motor recovery after stroke in adults: a review. Stroke. 2003;34(6):1553\u201366.","journal-title":"Stroke"},{"issue":"4","key":"1682_CR43","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1161\/STROKEAHA.110.597880","volume":"42","author":"A Dennis","year":"2011","unstructured":"Dennis A, Bosnell R, Dawes H, Howells K, Cockburn J, Kischka U, et al. Cognitive context determines dorsal premotor cortical activity during hand movement in patients after stroke. Stroke. 2011;42(4):1056\u201361.","journal-title":"Stroke"},{"issue":"3","key":"1682_CR44","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.neuroimage.2005.04.025","volume":"27","author":"MG Lacourse","year":"2005","unstructured":"Lacourse MG, Orr EL, Cramer SC, Cohen MJ. Brain activation during execution and motor imagery of novel and skilled sequential hand movements. Neuroimage. 2005;27(3):505\u201319.","journal-title":"Neuroimage"},{"issue":"Pt 11","key":"1682_CR45","doi-asserted-by":"publisher","first-page":"2476","DOI":"10.1093\/brain\/awg245","volume":"126","author":"NS Ward","year":"2003","unstructured":"Ward NS, Brown MM, Thompson AJ, Frackowiak RS. Neural correlates of motor recovery after stroke: a longitudinal fMRI study. Brain A J Neurol. 2003;126(Pt 11):2476\u201396.","journal-title":"Brain A J Neurol"},{"issue":"3","key":"1682_CR46","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1161\/01.STR.0000155720.47711.83","volume":"36","author":"LM Carey","year":"2005","unstructured":"Carey LM, Abbott DF, Egan GF, Bernhardt J, Donnan GA. Motor impairment and recovery in the upper limb after stroke: behavioral and neuroanatomical correlates. Stroke. 2005;36(3):625\u20139.","journal-title":"Stroke"},{"issue":"6\u20137","key":"1682_CR47","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1177\/1545968318778810","volume":"32","author":"S Pundik","year":"2018","unstructured":"Pundik S, Scoco A, Skelly M, McCabe JP, Daly JJ. Greater cortical thickness is associated with enhanced sensory function after arm rehabilitation in chronic stroke. Neurorehabil Neural Repair. 2018;32(6\u20137):590\u2013601.","journal-title":"Neurorehabil Neural Repair"},{"issue":"52","key":"1682_CR48","doi-asserted-by":"publisher","first-page":"18727","DOI":"10.1073\/pnas.1417017112","volume":"111","author":"RB Yaffe","year":"2014","unstructured":"Yaffe RB, Kerr MS, Damera S, Sarma SV, Inati SK, Zaghloul KA. Reinstatement of distributed cortical oscillations occurs with precise spatiotemporal dynamics during successful memory retrieval. Proc Natl Acad Sci USA. 2014;111(52):18727\u201332.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"34","key":"1682_CR49","doi-asserted-by":"publisher","first-page":"12569","DOI":"10.1073\/pnas.0800005105","volume":"105","author":"D Sridharan","year":"2008","unstructured":"Sridharan D, Levitin DJ, Menon V. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci USA. 2008;105(34):12569\u201374.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"3","key":"1682_CR50","doi-asserted-by":"publisher","first-page":"2771","DOI":"10.1016\/j.neuroimage.2011.10.023","volume":"59","author":"AK Rehme","year":"2012","unstructured":"Rehme AK, Eickhoff SB, Rottschy C, Fink GR, Grefkes C. Activation likelihood estimation meta-analysis of motor-related neural activity after stroke. Neuroimage. 2012;59(3):2771\u201382.","journal-title":"Neuroimage"},{"issue":"10","key":"1682_CR51","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1161\/STROKEAHA.124.048458","volume":"55","author":"C Delcamp","year":"2024","unstructured":"Delcamp C, Srinivasan R, Cramer SC. EEG provides insights into motor control and neuroplasticity during stroke recovery. Stroke. 2024;55(10):2579\u201383.","journal-title":"Stroke"},{"issue":"12","key":"1682_CR52","first-page":"2980","volume":"17","author":"I Loubinoux","year":"2007","unstructured":"Loubinoux I, Dechaumont-Palacin S, Castel-Lacanal E, De Boissezon X, Marque P, Pariente J, et al. Prognostic value of FMRI in recovery of hand function in subcortical stroke patients. Cerebral cortex (New York, NY: 1991). 2007;17(12):2980\u20137.","journal-title":"Cerebral cortex (New York, NY: 1991)."},{"issue":"26","key":"1682_CR53","doi-asserted-by":"publisher","first-page":"5186","DOI":"10.1523\/JNEUROSCI.2443-21.2022","volume":"42","author":"R Gopalakrishnan","year":"2022","unstructured":"Gopalakrishnan R, Cunningham DA, Hogue O, Schroedel M, Campbell BA, Plow EB, et al. Cortico-cerebellar connectivity underlying motor control in chronic poststroke individuals. J Neurosci. 2022;42(26):5186\u201397.","journal-title":"J Neurosci"},{"issue":"1","key":"1682_CR54","doi-asserted-by":"publisher","first-page":"7252","DOI":"10.1038\/s41467-021-27593-x","volume":"12","author":"E Rozenfeld","year":"2021","unstructured":"Rozenfeld E, Tauber M, Ben-Chaim Y, Parnas M. GPCR voltage dependence controls neuronal plasticity and behavior. Nat Commun. 2021;12(1):7252.","journal-title":"Nat Commun"},{"issue":"1","key":"1682_CR55","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a005991","volume":"4","author":"D Julius","year":"2012","unstructured":"Julius D, Nathans J. Signaling by sensory receptors. Cold Spring Harb Perspect Biol. 2012;4(1): a005991.","journal-title":"Cold Spring Harb Perspect Biol"},{"issue":"1","key":"1682_CR56","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1038\/s41593-020-00752-x","volume":"24","author":"S Mederos","year":"2021","unstructured":"Mederos S, S\u00e1nchez-Puelles C, Esparza J, Valero M, Ponomarenko A, Perea G. GABAergic signaling to astrocytes in the prefrontal cortex sustains goal-directed behaviors. Nat Neurosci. 2021;24(1):82\u201392.","journal-title":"Nat Neurosci"},{"key":"1682_CR57","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.pneurobio.2015.09.008","volume":"144","author":"Z Liu","year":"2016","unstructured":"Liu Z, Chopp M. Astrocytes, therapeutic targets for neuroprotection and neurorestoration in ischemic stroke. Prog Neurobiol. 2016;144:103\u201320.","journal-title":"Prog Neurobiol"},{"key":"1682_CR58","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2023.101994","volume":"89","author":"M Nimgampalle","year":"2023","unstructured":"Nimgampalle M, Chakravarthy H, Sharma S, Shree S, Bhat AR, Pradeepkiran JA, Devanathan V. Neurotransmitter systems in the etiology of major neurological disorders: emerging insights and therapeutic implications. Ageing Res Rev. 2023;89: 101994.","journal-title":"Ageing Res Rev"},{"issue":"2","key":"1682_CR59","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1002\/ana.22237","volume":"69","author":"LE Wang","year":"2011","unstructured":"Wang LE, Fink GR, Diekhoff S, Rehme AK, Eickhoff SB, Grefkes C. Noradrenergic enhancement improves motor network connectivity in stroke patients. Ann Neurol. 2011;69(2):375\u201388.","journal-title":"Ann Neurol"},{"issue":"8026","key":"1682_CR60","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1038\/s41586-024-07638-z","volume":"632","author":"T Hu","year":"2024","unstructured":"Hu T, Yu Z, Zhao J, Meng Y, Salomon K, Bai Q, et al. Transport and inhibition mechanisms of the human noradrenaline transporter. Nature. 2024;632(8026):930\u20137.","journal-title":"Nature"},{"issue":"12","key":"1682_CR61","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1016\/S1474-4422(10)70247-7","volume":"9","author":"C Stinear","year":"2010","unstructured":"Stinear C. Prediction of recovery of motor function after stroke. Lancet Neurol. 2010;9(12):1228\u201332.","journal-title":"Lancet Neurol"},{"issue":"Pt 5","key":"1682_CR62","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1093\/brain\/awr033","volume":"134","author":"C Grefkes","year":"2011","unstructured":"Grefkes C, Fink GR. Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches. Brain A J Neurol. 2011;134(Pt 5):1264\u201376.","journal-title":"Brain A J Neurol"}],"container-title":["Journal of NeuroEngineering and Rehabilitation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12984-025-01682-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12984-025-01682-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12984-025-01682-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T07:02:56Z","timestamp":1751698976000},"score":1,"resource":{"primary":{"URL":"https:\/\/jneuroengrehab.biomedcentral.com\/articles\/10.1186\/s12984-025-01682-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,5]]},"references-count":62,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1682"],"URL":"https:\/\/doi.org\/10.1186\/s12984-025-01682-0","relation":{},"ISSN":["1743-0003"],"issn-type":[{"value":"1743-0003","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,5]]},"assertion":[{"value":"31 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by the Hospital Ethics Committee (2014 Interim Review No. 279). All participants were informed about the study and provided written informed consent.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"150"}}