{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T12:53:41Z","timestamp":1787316821238,"version":"build-2736575974"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:00Z","timestamp":1755820800000},"content-version":"vor","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":"publisher","award":["22YF1404200"],"award-info":[{"award-number":["22YF1404200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2024\u2009MW005"],"award-info":[{"award-number":["2024\u2009MW005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2025MWFC03"],"award-info":[{"award-number":["2025MWFC03"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>After stroke, upper limb dysfunction seriously affects patients\u2019 quality of life. The uncertain prognosis of patients poses a challenge for therapists in developing personalized rehabilitation programs. Electroencephalograph (EEG) power spectrum changes during rehabilitation training may have a predictive effect on the improvement of upper limb movement. Therefore, it is of great clinical significance to explore the EEG power spectrum related to the recovery of upper limb function after stroke.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>This study included 113 subacute stroke survivors who were treated with routine rehabilitation for 2\u202fweeks. At week 0 (T0) and week 2 (T2), behavioral scales including Fugl-Meyer Assessment of Upper Limb (FMA-UL), action research arm test (ARAT), modified Barthel index (MBI), and National Institutes of Health Stroke Scale (NIHSS) was assessed to compare correlations and observe the relationship between behavioral indicators and function under conventional rehabilitation. Twenty-six of the 113 patients were selected to undergo resting state EEG detection at week 0 (T0), week 1 (T1) and week 2 (T2), respectively. Power spectrum (PSD) and BSI values were calculated by EEG spectral analysis. The relationships between beta PSD and the clinical scales, between BSI and the clinical scales were examined by correlation and regression analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Behavioral scales at T0 and T2 were positively correlated in both cohorts (\n                      <jats:italic>N<\/jats:italic>\n                      =\u202f113,\n                      <jats:italic>N<\/jats:italic>\n                      =\u202f26). Beta PSD correlated with FMA-UL (T1:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f0.469,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.016*; T2:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f0.391,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.048*) and ARAT (T0:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f0.412,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.037*; T1:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f0.453,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.021*; T2:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f0.487,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.012*). Beta BSI negatively correlated with Brunnstrom-UL (T2:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f\u22120.498,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.01*), FMA-UL (T1:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f\u22120.441,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.036*; T2:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f\u22120.507,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.008*), and MBI (T2:\n                      <jats:italic>r<\/jats:italic>\n                      =\u202f\u22120.457,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.019*). PSD-T0 predicted FMA-Hand (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      =\u202f0.997,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.014*); PSD-T1 predicted ARAT (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      =\u202f1.945,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.014*). BSI-T1 predicted Brunnstrom-Hand (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      =\u202f\u2212401.7,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.049*) and FMA-UL (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      =\u202f\u2212194.4,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.041*), demonstrating beta EEG\u2019s prognostic value.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Resting state EEG indicators, including beta PSD and BSI, may serve as prognostic biomarkers for upper limb motor function recovery of stroke survivors, providing valuable reference for further clinical decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneur.2025.1577393","type":"journal-article","created":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:51:36Z","timestamp":1755849096000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Resting-state EEG associated with clinical measures to predict upper limb motor recovery of subacute stroke"],"prefix":"10.3389","volume":"16","author":[{"given":"Ling","family":"Ding","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiming","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaokang","family":"Shu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shugeng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,8,22]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1672","DOI":"10.47391\/JPMA.22-90","article-title":"Technological advancements in stroke rehabilitation","volume":"72","author":"Malik","year":"2022","journal-title":"J Pak Med Assoc"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1016\/S1474-4422(24)00369-7","article-title":"Global, regional, and national burden of stroke and its risk factors, 1990-2021: a systematic analysis for the global burden of disease study 2021","volume":"23","author":"Feigin","year":"2024","journal-title":"Lancet Neurol."},{"key":"ref3","doi-asserted-by":"publisher","first-page":"442","DOI":"10.3389\/fnhum.2016.00442","article-title":"Rehabilitation of motor function after stroke: a multiple systematic review focused on techniques to stimulate upper extremity recovery","volume":"10","author":"Hatem","year":"2016","journal-title":"Front Hum Neurosci."},{"key":"ref4","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1177\/1545968317732680","article-title":"Biomarkers of stroke recovery: consensus-based Core recommendations from the stroke recovery and rehabilitation roundtable","volume":"31","author":"Boyd","year":"2017","journal-title":"Neurorehabil Neural Repair"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1016\/S1474-4422(17)30283-1","article-title":"Prediction of motor recovery after stroke: advances in biomarkers","volume":"16","author":"Stinear","year":"2017","journal-title":"Lancet Neurol"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1038\/nrneurol.2010.200","article-title":"Neuroplasticity in the context of motor rehabilitation after stroke","volume":"7","author":"Dimyan","year":"2011","journal-title":"Nat Rev Neurol"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.medj.2021.12.001","article-title":"Neuromuscular electrical stimulation restores upper limb sensory-motor functions and body representations in chronic stroke survivors","volume":"3","author":"Crema","year":"2022","journal-title":"Med"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1016\/j.clinph.2019.01.007","article-title":"How does upper extremity Fugl-Meyer motor score relate to resting-state Eeg in chronic stroke? A power spectral density analysis","volume":"130","author":"Saes","year":"2019","journal-title":"Clin Neurophysiol"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1038\/s41591-018-0058-y","article-title":"Low-frequency cortical activity is a neuromodulatory target that tracks recovery after stroke","volume":"24","author":"Ramanathan","year":"2018","journal-title":"Nat Med"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1177\/1545968310364058","article-title":"Functional neuroimaging studies of early upper limb recovery after stroke: a systematic review of the literature","volume":"24","author":"Buma","year":"2010","journal-title":"Neurorehabil Neural Repair"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1038\/nrneurol.2017.34","article-title":"Restoring brain function after stroke - bridging the gap between animals and humans","volume":"13","author":"Ward","year":"2017","journal-title":"Nat Rev Neurol"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1016\/j.clinph.2019.04.004","article-title":"Brain networks and their relevance for stroke rehabilitation","volume":"130","author":"Guggisberg","year":"2019","journal-title":"Clin Neurophysiol"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.clinph.2012.07.003","article-title":"EEG in ischaemic stroke: quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management","volume":"124","author":"Finnigan","year":"2013","journal-title":"Clin Neurophysiol"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"2489","DOI":"10.1161\/01.STR.0000144649.49861.1d","article-title":"Continuous quantitative EEG monitoring in hemispheric stroke patients using the brain symmetry index","volume":"35","author":"Van Putten","year":"2004","journal-title":"Stroke"},{"key":"ref15","volume-title":"Electroencephalography (EEG): An introductory text and atlas of Normal and abnormal findings in adults, children, and infants","author":"Britton","year":"2016"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1016\/j.clinph.2003.12.002","article-title":"A brain symmetry index (BSI) for online EEG monitoring in carotid endarterectomy","volume":"115","author":"Van Putten","year":"2004","journal-title":"Clin Neurophysiol"},{"key":"ref17","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s12264-012-1265-z","article-title":"Correlation of continuous electroencephalogram with clinical assessment scores in acute stroke patients","volume":"28","author":"Xin","year":"2012","journal-title":"Neurosci Bull"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1177\/1545968320905797","article-title":"Is resting-state Eeg longitudinally associated with recovery of clinical neurological impairments early Poststroke? A prospective cohort study","volume":"34","author":"Saes","year":"2020","journal-title":"Neurorehabil Neural Repair"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1016\/j.clinph.2009.02.171","article-title":"Reproducibility and clinical relevance of quantitative EEG parameters in cerebral ischemia: a basic approach","volume":"120","author":"Sheorajpanday","year":"2009","journal-title":"Clin Neurophysiol"},{"key":"ref20","doi-asserted-by":"publisher","first-page":"105","DOI":"10.3233\/NRE-210171","article-title":"Predicting upper extremity motor improvement following therapy using EEG-based connectivity in chronic stroke","volume":"50","author":"Vatinno","year":"2022","journal-title":"NeuroRehabilitation"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"597","DOI":"10.3389\/fneur.2018.00597","article-title":"Predicting gains with visuospatial training after stroke using an EEG measure of Frontoparietal circuit function","volume":"9","author":"Zhou","year":"2018","journal-title":"Front Neurol"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1177\/154596802401105171","article-title":"The Fugl-Meyer assessment of motor recovery after stroke: a critical review of its measurement properties","volume":"16","author":"Gladstone","year":"2002","journal-title":"Neurorehabil Neural Repair"},{"key":"ref23","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1055\/s-2005-923533","article-title":"Arm function after stroke: from physiology to recovery","volume":"25","author":"Krakauer","year":"2005","journal-title":"Semin Neurol"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"14918","DOI":"10.3390\/ijerph192214918","article-title":"Psychometric properties of the action research arm test (Arat) scale in post-stroke patients-Spanish population","volume":"19","author":"Fern\u00e1ndez-Solana","year":"2022","journal-title":"Int J Environ Res Public Health."},{"key":"ref25","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1016\/0895-4356(89)90065-6","article-title":"Improving the sensitivity of the Barthel index for stroke rehabilitation","volume":"42","author":"Shah","year":"1989","journal-title":"J Clin Epidemiol"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"e150","DOI":"10.1161\/STROKEAHA.121.034859","article-title":"National Institutes of Health stroke scale as an outcome in stroke research: value of ANCOVA over analyzing change from baseline","volume":"53","author":"Mistry","year":"2022","journal-title":"Stroke"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"267","DOI":"10.3389\/fnins.2013.00267","article-title":"MEG and EEG data analysis with MNE Python","volume":"7","author":"Gramfort","year":"2013","journal-title":"Front Neurosci."},{"key":"ref28","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1016\/j.neuroimage.2013.10.027","article-title":"MNE software for processing meg and EEG data","volume":"86","author":"Gramfort","year":"2014","journal-title":"NeuroImage"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"1146146","DOI":"10.3389\/fnins.2023.1146146","article-title":"Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized controlled study","volume":"17","author":"Fu","year":"2023","journal-title":"Front Neurosci"},{"key":"ref30","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1038\/nature05278","article-title":"Boosting slow oscillations during sleep potentiates memory","volume":"444","author":"Marshall","year":"2006","journal-title":"Nature"},{"key":"ref31","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/S0896-6273(02)00586-X","article-title":"Theta oscillations in the hippocampus","volume":"33","author":"Buzs\u00e1ki","year":"2002","journal-title":"Neuron"},{"key":"ref32","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.brs.2019.10.007","article-title":"Brain oscillation-synchronized stimulation of the left dorsolateral prefrontal cortex in depression using real-time EEG-triggered TMS","volume":"13","author":"Zrenner","year":"2020","journal-title":"Brain Stimul"},{"key":"ref33","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1007\/s12975-020-00795-z","article-title":"Psd-93 interacts with Syngap and promotes Syngap ubiquitination and ischemic brain injury in mice","volume":"11","author":"Zhang","year":"2020","journal-title":"Transl Stroke Res"},{"key":"ref34","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1177\/1545968319872997","article-title":"An increase of excitatory-to-inhibitory synaptic balance in the contralateral Cortico-striatal pathway underlies improved stroke recovery in BDNF Val66Met SNP mice","volume":"33","author":"Qin","year":"2019","journal-title":"Neurorehabil Neural Repair"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.bbi.2019.09.005","article-title":"Neurogenesis promoted by the CD200\/CD200R signaling pathway following treadmill exercise enhances post-stroke functional recovery in rats","volume":"82","author":"Sun","year":"2019","journal-title":"Brain Behav Immun"},{"key":"ref36","doi-asserted-by":"publisher","first-page":"11096","DOI":"10.3390\/ijms140611096","article-title":"Early exercise protects the blood-brain barrier from ischemic brain injury via the regulation of MMP-9 and occludin in rats","volume":"14","author":"Zhang","year":"2013","journal-title":"Int J Mol Sci"},{"key":"ref37","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.bbr.2015.12.003","article-title":"Running exercise enhances motor functional recovery with inhibition of dendritic regression in the motor cortex after collagenase-induced intracerebral hemorrhage in rats","volume":"300","author":"Takamatsu","year":"2016","journal-title":"Behav Brain Res"},{"key":"ref38","doi-asserted-by":"publisher","first-page":"1650","DOI":"10.1016\/S1053-8119(03)00205-2","article-title":"Displacement of primary sensorimotor cortex activation after subcortical stroke: a longitudinal PET study with clinical correlation","volume":"19","author":"Calautti","year":"2003","journal-title":"NeuroImage"},{"key":"ref39","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1016\/S1388-2457(03)00070-1","article-title":"Post-stroke reorganization of hand motor area: a 1-year prospective follow-up with focal transcranial magnetic stimulation","volume":"114","author":"Delvaux","year":"2003","journal-title":"Clin Neurophysiol"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1001\/archneur.55.8.1081","article-title":"Role of the premotor cortex in recovery from middle cerebral artery infarction","volume":"55","author":"Seitz","year":"1998","journal-title":"Arch Neurol"},{"key":"ref41","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1038\/nrneurol.2014.162","article-title":"Modulation of brain plasticity in stroke: a novel model for neurorehabilitation","volume":"10","author":"Di Pino","year":"2014","journal-title":"Nat Rev Neurol."},{"key":"ref42","doi-asserted-by":"publisher","first-page":"874","DOI":"10.1016\/j.clinph.2010.07.028","article-title":"Quantitative EEG in ischemic stroke: correlation with functional status after 6 months","volume":"122","author":"Sheorajpanday","year":"2011","journal-title":"Clin Neurophysiol"},{"key":"ref43","doi-asserted-by":"publisher","first-page":"177","DOI":"10.3233\/RNN-120244","article-title":"A contralesional Eeg power increase mediated by interhemispheric disconnection provides negative prognosis in acute stroke","volume":"31","author":"Assenza","year":"2013","journal-title":"Restor Neurol Neurosci"},{"key":"ref44","doi-asserted-by":"publisher","first-page":"3048","DOI":"10.1093\/brain\/awv200","article-title":"Coherent neural oscillations predict future motor and language improvement after stroke","volume":"138","author":"Nicolo","year":"2015","journal-title":"Brain"},{"key":"ref45","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1161\/01.STR.0000122622.73916.d2","article-title":"Correlation of quantitative EEG in acute ischemic stroke with 30-day Nihss score: comparison with diffusion and perfusion MRI","volume":"35","author":"Finnigan","year":"2004","journal-title":"Stroke"},{"key":"ref46","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1177\/15500594231209397","article-title":"A multimodal analysis to explore upper limb motor recovery at 4 weeks after stroke: insights from EEG and kinematics measures","volume":"55","author":"Antonioni","year":"2024","journal-title":"Clin EEG Neurosci"},{"key":"ref47","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.1161\/STROKEAHA.120.028932","article-title":"Low-frequency oscillations are a biomarker of injury and recovery after stroke","volume":"51","author":"Cassidy","year":"2020","journal-title":"Stroke"},{"key":"ref48","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1016\/j.clinph.2013.11.006","article-title":"Corticomuscular coherence in acute and chronic stroke","volume":"125","author":"Von Carlowitz-Ghori","year":"2014","journal-title":"Clin Neurophysiol."},{"key":"ref49","doi-asserted-by":"publisher","first-page":"101817","DOI":"10.1016\/j.rehab.2024.101817","article-title":"Event-related desynchronization during action observation is an early predictor of recovery in subcortical stroke: an EEG study","volume":"67","author":"Antonioni","year":"2024","journal-title":"Ann Phys Rehabil Med"},{"key":"ref50","doi-asserted-by":"publisher","first-page":"862207","DOI":"10.3389\/fphys.2022.862207","article-title":"Resting state EEG directed functional connectivity unveils changes in motor network Organization in Subacute Stroke Patients after Rehabilitation","volume":"13","author":"Pirovano","year":"2022","journal-title":"Front Physiol"},{"key":"ref51","doi-asserted-by":"publisher","first-page":"2271","DOI":"10.1016\/j.neuroimage.2012.02.070","article-title":"Why use a connectivity-based approach to study stroke and recovery of function?","volume":"62","author":"Carter","year":"2012","journal-title":"NeuroImage"},{"key":"ref52","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1177\/1545968320969937","article-title":"Multimodal neuroimaging using concurrent EEG\/fNIRS for Poststroke recovery assessment: an exploratory study","volume":"34","author":"Li","year":"2020","journal-title":"Neurorehabil Neural Repair"},{"key":"ref53","doi-asserted-by":"publisher","first-page":"1062807","DOI":"10.3389\/fcell.2022.1062807","article-title":"Biomarkers for prognostic functional recovery poststroke: a narrative review","volume":"10","author":"Zhang","year":"2022","journal-title":"Front Cell Dev Biol"}],"container-title":["Frontiers in Neurology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fneur.2025.1577393\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:51:37Z","timestamp":1755849097000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fneur.2025.1577393\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,22]]},"references-count":53,"alternative-id":["10.3389\/fneur.2025.1577393"],"URL":"https:\/\/doi.org\/10.3389\/fneur.2025.1577393","relation":{},"ISSN":["1664-2295"],"issn-type":[{"value":"1664-2295","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,22]]},"article-number":"1577393"}}