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neurotrophic protein S100B in acute brain injury, J Neurotrauma, 23, 1185, 10.1089\u002Fneu.2006.23.1185\nRoutsi, 2006, Increased levels of serum S100B protein in critically ill patients without brain injury, Shock, 26, 20, 10.1097\u002F01.shk.0000209546.06801.d7\nLynch, 2004, Novel diagnostic test for acute stroke, Stroke, 35, 57, 10.1161\u002F01.STR.0000105927.62344.4C\nKorfias, 2006, Serum S-100B protein as a biochemical marker of brain injury: A review of current concepts, Curr Med Chem, 13, 3719, 10.2174\u002F092986706779026129\nSindic, 1982, Assessment of damage to the central nervous system by determination of S-100 protein in the cerebrospinal fluid, J Neurol Neurosurg Psychiatry, 45, 1130, 10.1136\u002Fjnnp.45.12.1130\nUnden, 2005, Raised serum S100B levels after acute bone fractures without cerebral injury, J Trauma, 58, 59, 10.1097\u002F01.TA.0000130613.35877.75\nSavola, 2004, Effects of head and extracranial injuries on serum protein S100B levels in trauma patients, J Trauma, 56, 1229, 10.1097\u002F01.TA.0000096644.08735.72\nPetzold, 2003, CSF and serum S100B: Release and wash-out pattern, Brain Res Bull, 61, 281, 10.1016\u002FS0361-9230(03)00091-1\nAbraha, 1997, Serum S-100 protein, relationship to clinical outcome in acute stroke, Ann Clin Biochem, 34, 546, 10.1177\u002F000456329703400510\nButtner, 1997, S-100 protein: Serum marker of focal brain damage after ischemic territorial MCA infarction, Stroke, 28, 1961, 10.1161\u002F01.STR.28.10.1961\nElting, 2000, Comparison of serum S-100 protein levels following stroke and traumatic brain injury, J Neurol Sci, 181, 104, 10.1016\u002FS0022-510X(00)00442-1\nMissler, 1997, S-100 protein and neuron-specific enolase concentrations in blood as indicators of infarction volume and prognosis in acute ischemic stroke, Stroke, 28, 1956, 10.1161\u002F01.STR.28.10.1956\nFoerch, 2003, S100B as a surrogate marker for successful clot lysis in hyperacute middle cerebral artery occlusion, J Neurol Neurosurg Psychiatry, 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2017, Cryptogenic stroke: research and practice, Circ Res, 120, 527, 10.1161\u002FCIRCRESAHA.116.308447\nLi, 2015, Incidence, outcome, risk factors, and long-term prognosis of cryptogenic transient ischaemic attack and ischaemic stroke: a population-based study, Lancet Neurol, 14, 903, 10.1016\u002FS1474-4422(15)00132-5\nHart, 2017, Embolic stroke of undetermined source: a systematic review and clinical update, Stroke, 48, 867, 10.1161\u002FSTROKEAHA.116.016414\nHart, 2018, Rivaroxaban for stroke prevention after embolic stroke of undetermined source, N Engl J Med, 378, 2191, 10.1056\u002FNEJMoa1802686\nDiener, 2019, Dabigatran for prevention of stroke after embolic stroke of undetermined source, N Engl J Med, 380, 1906, 10.1056\u002FNEJMoa1813959\nNtaios, 2020, Potential embolic sources and outcomes in embolic stroke of undetermined source in the NAVIGATE-ESUS trial, Stroke, 51, 1797, 10.1161\u002FSTROKEAHA.119.028669\nOak, 2022, Age alters prevalence of left atrial enlargement and nonstenotic carotid plaque in embolic stroke of undetermined source, Stroke, 10.1161\u002FSTROKEAHA.121.037522\nFisher, 1968, The arterial lesions underlying lacunes, Acta Neuropathol, 12, 1, 10.1007\u002FBF00685305\nGanesan, 2016, The impact of atrial fibrillation type on the risk of thromboembolism, mortality, and bleeding: a systematic review and meta-analysis, Eur Heart J, 37, 10.1093\u002Feurheartj\u002Fehw007\nGo, 2018, Association of burden of atrial fibrillation with risk of ischemic stroke in adults with paroxysmal atrial fibrillation: the KP-RHYTHM Study, JAMA Cardiol, 3, 601, 10.1001\u002Fjamacardio.2018.1176\nAdams, 1993, Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in acute stroke treatment, Stroke, 24, 35, 10.1161\u002F01.STR.24.1.35\nFazekas, 1987, MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging, AJNR Am J Neuroradiol, 8, 421\nWahlgren, 2007, Thrombolysis with alteplase for acute ischaemic stroke in the safe implementation of thrombolysis in stroke-monitoring study (SITS-MOST): an observational study, Lancet, 369, 275, 10.1016\u002FS0140-6736(07)60149-4\nAlrohimi, 2022, Abstract WP110: infarct topography on MRI in patients with acute ischemic stroke and atrial fibrillation: subgroup analysis from PER DIEM trial, Stroke, 53, AWP110, 10.1161\u002Fstr.53.suppl_1.WP110\nBernstein RA, Di Lazzaro V, Rymer MM, et al. Infarct Topography and Detection of Atrial Fibrillation in Cryptogenic Stroke: Results from CRYSTAL AF. Cerebrovascular Diseases. 2015;40(1-2):91-96. doi:10.1159\u002F000437018\nFavilla, 2015, Predictors of finding occult atrial fibrillation after cryptogenic stroke, Stroke, 46, 1210, 10.1161\u002FSTROKEAHA.114.007763\nNogueira, 2015, Predictors and clinical relevance of hemorrhagic transformation after endovascular therapy for anterior circulation large vessel occlusion strokes: a multicenter retrospective analysis of 1122 patients, J Neurointerv Surg, 7, 16, 10.1136\u002Fneurintsurg-2013-010743\nPaciaroni, 2008, Early hemorrhagic transformation of brain infarction: rate, predictive factors, and influence on clinical outcome: results of a prospective multicenter study, Stroke, 39, 2249, 10.1161\u002FSTROKEAHA.107.510321\nLarrue, 2001, Risk factors for severe hemorrhagic transformation in ischemic stroke patients treated with recombinant tissue plasminogen activator: a secondary analysis of the European-Australasian acute stroke study (ECASS II), Stroke, 32, 438, 10.1161\u002F01.STR.32.2.438\nLarrue, 1997, Hemorrhagic transformation in acute ischemic stroke. Potential contributing factors in the European cooperative acute stroke study, Stroke, 28, 957, 10.1161\u002F01.STR.28.5.957\nNardi, 2011, Influence of lipid profiles on the risk of hemorrhagic transformation after ischemic stroke: systematic review, Cerebrovasc Dis Extra, 1, 130, 10.1159\u002F000335014\nSaposnik, 2013, Stroke prognostication using age and NIH stroke scale: SPAN-100, Neurology, 80, 21, 10.1212\u002FWNL.0b013e31827b1ace\nMazya, 2013, External validation of the SEDAN score for prediction of intracerebral hemorrhage in stroke thrombolysis, Stroke, 44, 1595, 10.1161\u002FSTROKEAHA.113.000794\nMoll, 2014, Cerebral and sinus vein thrombosis, Circulation, 130, e68, 10.1161\u002FCIRCULATIONAHA.113.008018\nBenjamin, 2019, Heart disease and stroke statistics-2019 update: a report from the American heart association, Circulation, 139, e56, 10.1161\u002FCIR.0000000000000659\nPadfield, 2017, Progression of paroxysmal to persistent atrial fibrillation: 10-year follow-up in the Canadian registry of atrial fibrillation, Heart Rhythm, 14, 801, 10.1016\u002Fj.hrthm.2017.01.038\nSharma, 2022, Frequency and patterns of brain infarction in patients with embolic stroke of undetermined source: navigate ESUS trial, Stroke, 53, 45, 10.1161\u002FSTROKEAHA.120.032976\nShoamanesh, 2021, Microbleeds and the effect of anticoagulation in patients with embolic stroke of undetermined source: an exploratory analysis of the navigate ESUS randomized clinical trial, JAMA Neurol, 78, 11, 10.1001\u002Fjamaneurol.2020.3836\nSandercock PAG, Gibson LM, Liu M Anticoagulants for preventing recurrence following presumed non-cardioembolic ischaemic stroke or transient ischaemic attack. 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fluid after aneurysmal subarachnoid hemorrhage: biomarker and potential therapeutic target, World Neurosurg, 120, e660, 10.1016\u002Fj.wneu.2018.08.141\nAngelova, 2018, Role of mitochondrial ROS in the brain: from physiology to neurodegeneration, FEBS Lett, 592, 692, 10.1002\u002F1873-3468.12964\nCoulibaly, 2020, Aneurysmal subarachnoid hemorrhage: an overview of inflammation-induced cellular changes, Neurother J Am Soc Exp Neurother, 17, 436\nZeng, 2022, Neutrophil extracellular traps may be a potential target for treating early brain injury in subarachnoid hemorrhage, Transl Stroke Res, 13, 112, 10.1007\u002Fs12975-021-00909-1\nNayernia, 2014, New insights on NOX enzymes in the central nervous system, Antioxid Redox Signal, 20, 2815, 10.1089\u002Fars.2013.5703\nChen, 2020, Targeting myeloperoxidase (MPO) mediated oxidative stress and inflammation for reducing brain ischemia injury: potential application of natural compounds, Front Physiol, 11, 433, 10.3389\u002Ffphys.2020.00433\nPan, 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capacity and protein oxidation in cerebrospinal fluid of amyotrophic lateral sclerosis, J Neurol, 254, 575, 10.1007\u002Fs00415-006-0301-1\nPasquinelli, 2016, Gly482Ser PGC-1α gene polymorphism and exercise-related oxidative stress in amyotrophic lateral sclerosis patients, Front Cell Neurosci, 10, 102, 10.3389\u002Ffncel.2016.00102\nRodrigues, 2021, Advanced oxidative protein products role in multiple sclerosis: a systematic review and meta-analysis, Mol Neurobiol, 58, 5724, 10.1007\u002Fs12035-021-02493-9\nCoulibaly, 2021, Neutrophil enzyme myeloperoxidase modulates neuronal response in a model of subarachnoid hemorrhage by venous injury, Stroke, 52, 3374, 10.1161\u002FSTROKEAHA.120.033513\nLou, 2021, Advanced oxidation protein products induce inflammatory responses and invasive behaviour in fibroblast-like synoviocytes via the RAGE-NF-κB pathway, Bone Jt Res, 10, 259, 10.1302\u002F2046-3758.104.BJR-2020-0085.R2\nGeraghty, 2017, Delayed cerebral ischemia after subarachnoid 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2015, Stroke prevention—medical and lifestyle measures, Eur Neurol, 73, 150, 10.1159\u002F000367652\nBoehme, 2017, Stroke risk factors, genetics, and prevention, Circ Res, 120, 472, 10.1161\u002FCIRCRESAHA.116.308398\nSadar, 2015, Endovascular therapy for acute ischaemic stroke: a systematic review and meta-analysis of randomized trials, Eur Heart J, 36, 2373, 10.1093\u002Feurheartj\u002Fehv270\nBadhiwala, 2015, Endovascular thrombectomy for acute ischemic stroke: a meta-analysis, JAMA, 314, 1832, 10.1001\u002Fjama.2015.13767\nBerkhemer, 2015, A randomized trial of intraarterial treatment for acute ischemic stroke, N Engl J Med, 372, 11, 10.1056\u002FNEJMoa1411587\nBroderick, 2013, Endovascular therapy after intravenous t-PA versus t-PA alone for stroke, N Engl J Med, 368, 893, 10.1056\u002FNEJMoa1214300\nAghaebrahim, 2017, Streamlining door to recanalization processes in endovascular stroke therapy, J Neurointerv Surg, 9, 340, 10.1136\u002Fneurintsurg-2016-012324\nRabinstein, 2019, Factors that may contribute to poor outcome despite good reperfusion after acute endovascular stroke therapy, Int J Stroke, 14, 23, 10.1177\u002F1747493018799979\nChen, 2013, Comprehensive geriatric functional analysis of elderly populations in four categories of the long-term care insurance system in a rural, depopulated and aging town in Japan, Geriatr Gerontol Int, 13, 63, 10.1111\u002Fj.1447-0594.2012.00859.x\nImura, 2018, Effect of early and intensive rehabilitation in acute stroke patients: retrospective pre-\u002Fpost-comparison in Japanese hospital, Disabil Rehabil, 40, 1452, 10.1080\u002F09638288.2017.1300337\nImura, 2013, Interactive effects of cell therapy and rehabilitation realize the full potential of neurogenesis in brain injury model, Neurosci Lett, 555, 73, 10.1016\u002Fj.neulet.2013.09.009\nNudo, 2001, Role of adaptive plasticity in recovery of function after damage to motor cortex, Muscle Nerve, 24, 1000, 10.1002\u002Fmus.1104\nKwakkel, 1999, Intensity of leg and arm 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The Copenhagen Stroke Study, Arch Phys Med Rehabil, 76, 406, 10.1016\u002FS0003-9993(95)80568-0\nWerner, 2002, Treadmill training with partial body weight support and an electromechanical gait trainer for restoration of gait in subacute stroke patients, Stroke, 33, 2895, 10.1161\u002F01.STR.0000035734.61539.F6\nMazzoleni, 2017, Robot-assisted end-effector-based gait training in chronic stroke patients: a multicentric uncontrolled observational retrospective clinical study, NeuroRehabilitation, 40, 483, 10.3233\u002FNRE-161435\nBang, 2016, Effects of robot-assisted gait training on spatiotemporal gait parameters and balance in the patients with chronic stroke: a randomized controlled pilot trial, NeuroRehabilitation, 38, 343, 10.3233\u002FNRE-161325\nWall, 2015, Clinical application of the Hybrid Assistive Limb (HAL) for gait training -a systematic review, Front Syst Neurosci, 9, 48, 10.3389\u002Ffnsys.2015.00048\nIwamoto, 2019, Combination of exoskeletal upper limb robot and occupational therapy improve activities of daily living function in acute stroke patients, J Stroke Cerebrovasc Dis, 28, 2018, 10.1016\u002Fj.jstrokecerebrovasdis.2019.03.006\nYilmaz, 2019, Does Treadmill training with hybrid assistive limb (HAL) impact the quality of Life? 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2006, A longitudinal functional magnetic resonance imaging study of language development in children 5 to 11 years old, Ann Neurol, 59, 796, 10.1002\u002Fana.20817\nPerez, 2008, Mechanisms underlying functional changes in the primary motor cortex ipsilateral to an active hand, J Neurosci, 28, 5631, 10.1523\u002FJNEUROSCI.0093-08.2008\nThiel, 2006, Direct demonstration of transcallosal disinhibition in language networks, J Cereb Blood Flow Metab, 26, 1122, 10.1038\u002Fsj.jcbfm.9600350\nSaur, 2006, Dynamics of language reorganization after stroke, Brain, 129, 1371, 10.1093\u002Fbrain\u002Fawl090\nThiel, 2001, Plasticity of language networks in patients with brain tumors: a positron emission tomography activation study, Ann Neurol, 50, 620, 10.1002\u002Fana.1253\nHeiss, 1999, Differential capacity of left and right hemispheric areas for compensation of poststroke aphasia, Ann Neurol, 45, 430, 10.1002\u002F1531-8249(199904)45:4\u003C430::AID-ANA3>3.0.CO;2-P\nWinhuisen, 2007, The right 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Evidence-based stroke rehabilitation: an expanded guidance document from the European Stroke Organisation (ESO) guidelines for management of ischaemic stroke and transient ischaemic attack 2008, J Rehabil Med, 41, 99, 10.2340\u002F16501977-0301\nMishory, 2004, The maximum-likelihood strategy for determining transcranial magnetic stimulation motor threshold, using parameter estimation by sequential testing is faster than conventional methods with similar precision, J ECT, 20, 160, 10.1097\u002F00124509-200409000-00007\nAvanzino, 2008, 1-Hz repetitive TMS over ipsilateral motor cortex influences the performance of sequential finger movements of different complexity, Eur J Neurosci, 27, 1285, 10.1111\u002Fj.1460-9568.2008.06086.x\nGandiga, 2006, Transcranial DC stimulation (tDCS): a tool for double-blind sham-controlled clinical studies in brain stimulation, Clin Neurophysiol, 117, 845, 10.1016\u002Fj.clinph.2005.12.003\nWeiduschat, 2009, Localizing Broca's area for transcranial magnetic 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