{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T09:03:15Z","timestamp":1780131795948,"version":"3.54.0"},"reference-count":45,"publisher":"IMR Press","issue":"5","license":[{"start":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T00:00:00Z","timestamp":1778284800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82260243"],"award-info":[{"award-number":["82260243"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82560240"],"award-info":[{"award-number":["82560240"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guangxi Natural Science Foundation","award":["2025GXNSFAA069038"],"award-info":[{"award-number":["2025GXNSFAA069038"]}]},{"name":"Liuzhou Science and Technology Bureau","award":["2024YB0103A014"],"award-info":[{"award-number":["2024YB0103A014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Integr. Neurosci."],"abstract":"<jats:p>Background: In this study, we focused on exploring long-term trends and the clinical relevance of brain remodeling in acute basal ganglia cerebral infarction (BGCI) using percent amplitude of fluctuation (PerAF) and dynamic amplitude of low-frequency fluctuation (dALFF) from resting-state functional magnetic resonance imaging (rs-fMRI). Methods: rs-fMRI data were acquired from 28 acute BGCI patients and 34 healthy controls (HCs), with patient follow-ups conducted during the acute (days 1\u20137), early convalescent (day 30), and mid-convalescent (day 90) stages. One-way repeated-measures analysis of variance (ANOVA) was used to evaluate temporal changes in PerAF, while two-sample t-tests compared dALFF values between patient groups (days 1\u20137 and 90) and HCs. Pearson or Spearman correlation analysis was applied to examine relationships between significant neuroimaging metrics and clinical scores, including Fugl-Meyer Assessment (FMA) and Barthel Index (BI). Results: PerAF abnormalities were mainly identified in the left precuneus, left cerebellum_4_5, and left precentral gyrus (PreCG). The cerebellar region exhibited a linear increase in PerAF over time. Patients showed altered dALFF in the right cerebellar crus II\/I, right PreCG, and left precuneus compared with HCs. Acute-stage PerAF in the left PreCG negatively correlated with FMA and BI. In early and mid-convalescence, PerAF values in the left PreCG were further correlated with motor and lower-limb functional scores. Conclusions: Combined PerAF and dALFF analyses reveal distinctive patterns of dynamic brain functional remodeling following acute BGCI. These changes are closely associated with motor and daily living recovery, indicating that functional reorganization may represent a key neural mechanism supporting rehabilitation.<\/jats:p>","DOI":"10.31083\/jin47725","type":"journal-article","created":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T08:26:51Z","timestamp":1780129611000},"source":"Crossref","is-referenced-by-count":0,"title":["Longitudinal Reorganization of Local Brain Activity Following Acute Basal Ganglia Infarction: Combined Metrics of Amplitude and Dynamics Reveal Neural Substrates Underlying Motor Recovery"],"prefix":"10.31083","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6547-3608","authenticated-orcid":true,"given":"Shijian","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Neurology, First Affiliated Hospital of Guangxi Medical University, 530021 Nanning, Guangxi, China"},{"name":"Department of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, 545000 Liuzhou, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Neurology, Second Affiliated Hospital of Guangxi Medical University, 530007 Nanning, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yayuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurology, The Affiliated Minzu Hospital of Guangxi Medical University, 530000 Nanning, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuemei","family":"Quan","sequence":"additional","affiliation":[{"name":"Department of Neurology, The People\u2019s Hospital of Guangxi Zhuang Autonomous Region, Institute of Brain and Mental Diseases, Guangxi Academy of Medical Sciences, 530021 Nanning, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiong","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, 545000 Liuzhou, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liya","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, 545000 Liuzhou, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4339-5095","authenticated-orcid":true,"given":"Zhijian","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Neurology, First Affiliated Hospital of Guangxi Medical University, 530021 Nanning, Guangxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"16242","published-online":{"date-parts":[[2026,5,9]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","unstructured":"Wang W, Jiang B, Sun H, Ru X, Sun D, Wang L, et al. Prevalence, Incidence, and Mortality of Stroke in China: Results from a Nationwide Population-Based Survey of 480 687 Adults. Circulation. 2017; 135: 759\u2013771.","DOI":"10.1161\/CIRCULATIONAHA.116.025250"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"Gu HQ, Yang X, Wang CJ, Zhao XQ, Wang YL, Liu LP, et al. Clinical Characteristics, Management, and In-Hospital Outcomes in Patients With Stroke or Transient Ischemic Attack in China. JAMA Network Open. 2021; 4: e2120745.","DOI":"10.1001\/jamanetworkopen.2021.20745"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"Zheng Y, Wang XM. Measurement of Lactate Content and Amide Proton Transfer Values in the Basal Ganglia of a Neonatal Piglet Hypoxic-Ischemic Brain Injury Model Using MRI. AJNR. American Journal of Neuroradiology. 2017; 38: 827\u2013834.","DOI":"10.3174\/ajnr.A5066"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"Carrera E, Tononi G. Diaschisis: past, present, future. Brain: a Journal of Neurology. 2014; 137: 2408\u20132422.","DOI":"10.1093\/brain\/awu101"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"Adhikari MH, Hacker CD, Siegel JS, Griffa A, Hagmann P, Deco G, et al. Decreased integration and information capacity in stroke measured by whole brain models of resting state activity. Brain: a Journal of Neurology. 2017; 140: 1068\u20131085.","DOI":"10.1093\/brain\/awx021"},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"Biswal B, Yetkin FZ, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine. 1995; 34: 537\u2013541.","DOI":"10.1002\/mrm.1910340409"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"Grefkes C, Fink GR. Connectivity-based approaches in stroke and recovery of function. The Lancet. 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NeuroImage. 2013; 76: 183\u2013201.","DOI":"10.1016\/j.neuroimage.2013.03.004"},{"key":"ref25","doi-asserted-by":"publisher","unstructured":"Guo J, Biswal BB, Han S, Li J, Yang S, Yang M, et al. Altered dynamics of brain segregation and integration in poststroke aphasia. Human Brain Mapping. 2019; 40: 3398\u20133409.","DOI":"10.1002\/hbm.24605"},{"key":"ref26","doi-asserted-by":"publisher","unstructured":"Takeuchi N, Izumi SI. Noninvasive brain stimulation for motor recovery after stroke: mechanisms and future views. Stroke Research and Treatment. 2012; 2012: 584727.","DOI":"10.1155\/2012\/584727"},{"key":"ref27","doi-asserted-by":"publisher","unstructured":"Schoch B, Dimitrova A, Gizewski ER, Timmann D. Functional localization in the human cerebellum based on voxelwise statistical analysis: a study of 90 patients. NeuroImage. 2006; 30: 36\u201351.","DOI":"10.1016\/j.neuroimage.2005.09.018"},{"key":"ref28","doi-asserted-by":"publisher","unstructured":"Bostan AC, Strick PL. 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Neurotherapeutics: the Journal of the American Society for Experimental NeuroTherapeutics. 2025; 22: e00607.","DOI":"10.1016\/j.neurot.2025.e00607"},{"key":"ref34","doi-asserted-by":"publisher","unstructured":"Liu Y, Feng H, Fu H, Nie B, Wang T. Expression of microRNA induced by postoperative delirium-like behavior is associated with long-term default mode network disruption: Sequencing and a secondary analysis of resting-state fMRI data. CNS Neuroscience & Therapeutics. 2024; 30: e70038.","DOI":"10.1111\/cns.70038"},{"key":"ref35","doi-asserted-by":"publisher","unstructured":"Menon V. 20 years of the default mode network: A review and synthesis. Neuron. 2023; 111: 2469\u20132487.","DOI":"10.1016\/j.neuron.2023.04.023"},{"key":"ref36","doi-asserted-by":"publisher","unstructured":"Ding X, Li CY, Wang QS, Du FZ, Ke ZW, Peng F, et al. Patterns in default-mode network connectivity for determining outcomes in cognitive function in acute stroke patients. Neuroscience. 2014; 277: 637\u2013646.","DOI":"10.1016\/j.neuroscience.2014.07.060"},{"key":"ref37","doi-asserted-by":"publisher","unstructured":"Kwakkel G, Stinear C, Essers B, Munoz-Novoa M, Branscheidt M, Cabanas-Vald\u00e9s R, et al. Motor rehabilitation after stroke: European Stroke Organisation (ESO) consensus-based definition and guiding framework. European Stroke Journal. 2023; 8: 880\u2013894.","DOI":"10.1177\/23969873231191304"},{"key":"ref38","doi-asserted-by":"publisher","unstructured":"Vataman A, Ciolac D, Chiosa V, Aftene D, Leahu P, Winter Y, et al. Dynamic flexibility and controllability of network communities in juvenile myoclonic epilepsy. Neurobiology of Disease. 2023; 179: 106055.","DOI":"10.1016\/j.nbd.2023.106055"},{"key":"ref39","doi-asserted-by":"publisher","unstructured":"de Vos F, Koini M, Schouten TM, Seiler S, van der Grond J, Lechner A, et al. 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Implicit and Explicit Motor Learning Interventions Have Similar Effects on Walking Speed in People After Stroke: A Randomized Controlled Trial. Physical Therapy. 2021; 101: pzab017.","DOI":"10.1093\/ptj\/pzab017"},{"key":"ref43","doi-asserted-by":"publisher","unstructured":"Antonioni A, Raho EM, Spampinato DA, Granieri E, Fadiga L, Di Lorenzo F, et al. The cerebellum in frontotemporal dementia: From neglected bystander to potential neuromodulatory target. A narrative review. Neuroscience and Biobehavioral Reviews. 2025; 174: 106194.","DOI":"10.1016\/j.neubiorev.2025.106194"},{"key":"ref44","doi-asserted-by":"publisher","unstructured":"Wessel MJ, Hummel FC. Non-invasive Cerebellar Stimulation: a Promising Approach for Stroke Recovery? Cerebellum (London, England). 2018; 17: 359\u2013371.","DOI":"10.1007\/s12311-017-0906-1"},{"key":"ref45","doi-asserted-by":"publisher","unstructured":"Koch G, Bonn\u00ec S, Casula EP, Iosa M, Paolucci S, Pellicciari MC, et al. Effect of Cerebellar Stimulation on Gait and Balance Recovery in Patients With Hemiparetic Stroke: A Randomized Clinical Trial. 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