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Bakulin I, Zabirova A, Sinitsyn D, Poydasheva A, Lagoda D, Suponeva N, Piradov M. Adding a Second iTBS Block in 15 or 60 Min Time Interval Does Not Increase iTBS Effects on Motor Cortex Excitability and the Responder Rates. Brain Sci 2022; 12:brainsci12081064. [PMID: 36009127 PMCID: PMC9405900 DOI: 10.3390/brainsci12081064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/06/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
The use of metaplasticity-based intermittent theta-burst stimulation (iTBS) protocols including several stimulation blocks could be a possible approach to increasing stimulation effectiveness. Our aim was to investigate the neurophysiological effects of two protocols with a short and a long interval between blocks. Seventeen healthy volunteers received four protocols in a pseudorandomized order: iTBS 0-15 (two blocks of active iTBS of primary motor cortex (M1) separated by 15 min and a control stimulation block of the vertex in 60 min from the first block); iTBS 0-60 (active iTBS, a control block in 15 min, and an active block in 60 min); iTBS 0 (active iTBS and two control blocks with the same intervals); and Control (three control blocks). The motor evoked potentials (MEPs) were measured before the first and after the second and third blocks. We have shown no significant differences between the effects of the protocols on both the motor cortex excitability and the responder rates. No significant changes of MEPs were observed after all the protocols. The reliability for the responsiveness to a single block between two sessions was insignificant. Our data confirm low reproducibility of the response to iTBS and suggest that the use of repeated protocols does not increase the responder rates or neurophysiological effects of iTBS.
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Greer DM, Shemie SD, Lewis A, Torrance S, Varelas P, Goldenberg FD, Bernat JL, Souter M, Topcuoglu MA, Alexandrov AW, Baldisseri M, Bleck T, Citerio G, Dawson R, Hoppe A, Jacobe S, Manara A, Nakagawa TA, Pope TM, Silvester W, Thomson D, Al Rahma H, Badenes R, Baker AJ, Cerny V, Chang C, Chang TR, Gnedovskaya E, Han MK, Honeybul S, Jimenez E, Kuroda Y, Liu G, Mallick UK, Marquevich V, Mejia-Mantilla J, Piradov M, Quayyum S, Shrestha GS, Su YY, Timmons SD, Teitelbaum J, Videtta W, Zirpe K, Sung G. Determination of Brain Death/Death by Neurologic Criteria: The World Brain Death Project. JAMA 2020; 324:1078-1097. [PMID: 32761206 DOI: 10.1001/jama.2020.11586] [Citation(s) in RCA: 253] [Impact Index Per Article: 63.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
IMPORTANCE There are inconsistencies in concept, criteria, practice, and documentation of brain death/death by neurologic criteria (BD/DNC) both internationally and within countries. OBJECTIVE To formulate a consensus statement of recommendations on determination of BD/DNC based on review of the literature and expert opinion of a large multidisciplinary, international panel. PROCESS Relevant international professional societies were recruited to develop recommendations regarding determination of BD/DNC. Literature searches of the Cochrane, Embase, and MEDLINE databases included January 1, 1992, through April 2020 identified pertinent articles for review. Because of the lack of high-quality data from randomized clinical trials or large observational studies, recommendations were formulated based on consensus of contributors and medical societies that represented relevant disciplines, including critical care, neurology, and neurosurgery. EVIDENCE SYNTHESIS Based on review of the literature and consensus from a large multidisciplinary, international panel, minimum clinical criteria needed to determine BD/DNC in various circumstances were developed. RECOMMENDATIONS Prior to evaluating a patient for BD/DNC, the patient should have an established neurologic diagnosis that can lead to the complete and irreversible loss of all brain function, and conditions that may confound the clinical examination and diseases that may mimic BD/DNC should be excluded. Determination of BD/DNC can be done with a clinical examination that demonstrates coma, brainstem areflexia, and apnea. This is seen when (1) there is no evidence of arousal or awareness to maximal external stimulation, including noxious visual, auditory, and tactile stimulation; (2) pupils are fixed in a midsize or dilated position and are nonreactive to light; (3) corneal, oculocephalic, and oculovestibular reflexes are absent; (4) there is no facial movement to noxious stimulation; (5) the gag reflex is absent to bilateral posterior pharyngeal stimulation; (6) the cough reflex is absent to deep tracheal suctioning; (7) there is no brain-mediated motor response to noxious stimulation of the limbs; and (8) spontaneous respirations are not observed when apnea test targets reach pH <7.30 and Paco2 ≥60 mm Hg. If the clinical examination cannot be completed, ancillary testing may be considered with blood flow studies or electrophysiologic testing. Special consideration is needed for children, for persons receiving extracorporeal membrane oxygenation, and for those receiving therapeutic hypothermia, as well as for factors such as religious, societal, and cultural perspectives; legal requirements; and resource availability. CONCLUSIONS AND RELEVANCE This report provides recommendations for the minimum clinical standards for determination of brain death/death by neurologic criteria in adults and children with clear guidance for various clinical circumstances. The recommendations have widespread international society endorsement and can serve to guide professional societies and countries in the revision or development of protocols and procedures for determination of brain death/death by neurologic criteria, leading to greater consistency within and between countries.
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Affiliation(s)
- David M Greer
- Boston University School of Medicine, Boston, Massachusetts
| | - Sam D Shemie
- McGill University, Montreal Children's Hospital, Montreal, Canada
- Canadian Blood Services, Ottawa, Canada
| | | | | | | | | | - James L Bernat
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | | | | | - Anne W Alexandrov
- College of Nursing, University of Tennessee Health Science Center, Memphis
| | - Marie Baldisseri
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Thomas Bleck
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | | | - Arnold Hoppe
- Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
| | - Stephen Jacobe
- University of Sydney and Children's Hospital of Westmead, Westmead, Australia
| | | | | | | | | | | | | | - Rafael Badenes
- Hospital Clinic Universitari, University of Valencia, Valencia, Spain
| | - Andrew J Baker
- St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada
| | - Vladimir Cerny
- J.E. Purkinje University, Masaryk Hospital, Usti nad Labem, Czech Republic
| | | | - Tiffany R Chang
- The University of Texas Health Science Center at Houston, Houston
| | | | - Moon-Ku Han
- Seoul National University Bundang Hospital, Seoul, Republic of Korea
| | | | | | | | - Gang Liu
- Capital Medical University, Beijing, China
| | | | | | | | | | | | | | | | | | | | - Walter Videtta
- National Hospital, Alejandro Posadas, Buenos Aires, Argentina
| | | | - Gene Sung
- University of Southern California, Los Angeles
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Bakulin I, Legostaeva L, Poydasheva A, Iazeva E, Sinitsyn D, Sergeev D, Ryabinkina Y, Suponeva N, Piradov M. P165 TMS-EEG analysis of rTMS efficacy in chronic disorders of consciousness. Clin Neurophysiol 2020. [DOI: 10.1016/j.clinph.2019.12.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Bakulin I, Zabirova A, Lagoda D, Poydasheva A, Cherkasova A, Pavlov N, Kopnin P, Sinitsyn D, Kremneva E, Fedorov M, Gnedovskaya E, Suponeva N, Piradov M. Combining HF rTMS over the Left DLPFC with Concurrent Cognitive Activity for the Offline Modulation of Working Memory in Healthy Volunteers: A Proof-of-Concept Study. Brain Sci 2020; 10:brainsci10020083. [PMID: 32033106 PMCID: PMC7071618 DOI: 10.3390/brainsci10020083] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 01/28/2023] Open
Abstract
It has been proposed that the effectiveness of non-invasive brain stimulation (NIBS) as a cognitive enhancement technique may be enhanced by combining the stimulation with concurrent cognitive activity. However, the benefits of such a combination in comparison to protocols without ongoing cognitive activity have not yet been studied. In the present study, we investigate the effects of fMRI-guided high-frequency repetitive transcranial magnetic stimulation (HF rTMS) over the left dorsolateral prefrontal cortex (DLPFC) on working memory (WM) in healthy volunteers, using an n-back task with spatial and verbal stimuli and a spatial span task. In two combined protocols (TMS + WM + (maintenance) and TMS + WM + (rest)) trains of stimuli were applied in the maintenance and rest periods of the modified Sternberg task, respectively. We compared them to HF rTMS without a cognitive load (TMS + WM −) and control stimulation (TMS − WM + (maintenance)). No serious adverse effects appeared in this study. Among all protocols, significant effects on WM were shown only for the TMS + WM − with oppositely directed influences of this protocol on storage and manipulation in spatial WM. Moreover, there was a significant difference between the effects of TMS + WM − and TMS + WM + (maintenance), suggesting that simultaneous cognitive activity does not necessarily lead to an increase in TMS effects.
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Affiliation(s)
- Ilya Bakulin
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
- Correspondence: ; Tel.: +7-495-490-2010
| | - Alfiia Zabirova
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Dmitry Lagoda
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Alexandra Poydasheva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Anastasiia Cherkasova
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Nikolay Pavlov
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Peter Kopnin
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Dmitry Sinitsyn
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Elena Kremneva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Maxim Fedorov
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, bld. 1, Territory of Innovation Center «Skolkovo», Moscow 121205, Russia;
| | - Elena Gnedovskaya
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, bld. 1, Territory of Innovation Center «Skolkovo», Moscow 121205, Russia;
| | - Natalia Suponeva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
| | - Michael Piradov
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.Z.); (D.L.); (A.P.); (A.C.); (N.P.); (P.K.); (D.S.); (E.K.); (E.G.); (N.S.); (M.P.)
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Ilina K, Luneva I, Yusupova D, Zimin A, Sergeev D, Zaitsev A, Domashenko M, Samorukov V, Ryabinkina Y, Suponeva N, Piradov M. Russian versions of scales for acute disorders of consciousness (Glasgow Coma Scale, Full Outline of Unresponsiveness): Validation study. J Neurol Sci 2019. [DOI: 10.1016/j.jns.2019.10.1530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Sinitsyn D, Chernyavskiy A, Poydasheva A, Bakulin I, Suponeva N, Piradov M. P21-T The influence of the navigated TMS mapping protocol on the accuracy of motor representation characteristics. Clin Neurophysiol 2019. [DOI: 10.1016/j.clinph.2019.04.384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Poydasheva A, Sinitsyn D, Bakulin I, Suponeva N, Mosolov S, Piradov M. O-14 Does rTMS targeting with individual functional connectivity analysis improve the efficacy in recurrent depression? Clin Neurophysiol 2019. [DOI: 10.1016/j.clinph.2019.04.330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Bakulin I, Poydasheva A, Lagoda D, Zabirova A, Evdokimov K, Suponeva N, Piradov M. P79-S Tolerability of repetitive transcranial magnetic stimulation: Analysis of 727 sessions with standardized questionnaires. Clin Neurophysiol 2019. [DOI: 10.1016/j.clinph.2019.04.607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Bakulin I, Poydasheva A, Lagoda D, Kotov-Smolenskiy A, Butkovskaya A, Suponeva N, Piradov M. P78-S Transcranial direct current stimulation in chronic motor stroke: Preliminary results of a four-arm controlled study. Clin Neurophysiol 2019. [DOI: 10.1016/j.clinph.2019.04.606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Korzhova J, Bakulin I, Sinitsyn D, Poydasheva A, Suponeva N, Zakharova M, Piradov M. High‐frequency repetitive transcranial magnetic stimulation and intermittent theta‐burst stimulation for spasticity management in secondary progressive multiple sclerosis. Eur J Neurol 2019; 26:680-e44. [DOI: 10.1111/ene.13877] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 11/19/2018] [Indexed: 01/30/2023]
Affiliation(s)
- J. Korzhova
- Research Center of Neurology (RCN) Moscow Russia
| | - I. Bakulin
- Research Center of Neurology (RCN) Moscow Russia
| | - D. Sinitsyn
- Research Center of Neurology (RCN) Moscow Russia
| | | | - N. Suponeva
- Research Center of Neurology (RCN) Moscow Russia
| | - M. Zakharova
- Research Center of Neurology (RCN) Moscow Russia
| | - M. Piradov
- Research Center of Neurology (RCN) Moscow Russia
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Feigin VL, Nguyen G, Cercy K, Johnson CO, Alam T, Parmar PG, Abajobir AA, Abate KH, Abd-Allah F, Abejie AN, Abyu GY, Ademi Z, Agarwal G, Ahmed MB, Akinyemi RO, Al-Raddadi R, Aminde LN, Amlie-Lefond C, Ansari H, Asayesh H, Asgedom SW, Atey TM, Ayele HT, Banach M, Banerjee A, Barac A, Barker-Collo SL, Bärnighausen T, Barregard L, Basu S, Bedi N, Behzadifar M, Béjot Y, Bennett DA, Bensenor IM, Berhe DF, Boneya DJ, Brainin M, Campos-Nonato IR, Caso V, Castañeda-Orjuela CA, Rivas JC, Catalá-López F, Christensen H, Criqui MH, Damasceno A, Dandona L, Dandona R, Davletov K, de Courten B, deVeber G, Dokova K, Edessa D, Endres M, Faraon EJA, Farvid MS, Fischer F, Foreman K, Forouzanfar MH, Gall SL, Gebrehiwot TT, Geleijnse JM, Gillum RF, Giroud M, Goulart AC, Gupta R, Gupta R, Hachinski V, Hamadeh RR, Hankey GJ, Hareri HA, Havmoeller R, Hay SI, Hegazy MI, Hibstu DT, James SL, Jeemon P, John D, Jonas JB, Jóźwiak J, Kalani R, Kandel A, Kasaeian A, Kengne AP, Khader YS, Khan AR, Khang YH, Khubchandani J, Kim D, Kim YJ, Kivimaki M, Kokubo Y, Kolte D, Kopec JA, Kosen S, Kravchenko M, Krishnamurthi R, Kumar GA, Lafranconi A, Lavados PM, Legesse Y, Li Y, Liang X, Lo WD, Lorkowski S, Lotufo PA, Loy CT, Mackay MT, Abd El Razek HM, Mahdavi M, Majeed A, Malekzadeh R, Malta DC, Mamun AA, Mantovani LG, Martins SCO, Mate KK, Mazidi M, Mehata S, Meier T, Melaku YA, Mendoza W, Mensah GA, Meretoja A, Mezgebe HB, Miazgowski T, Miller TR, Ibrahim NM, Mohammed S, Mokdad AH, Moosazadeh M, Moran AE, Musa KI, Negoi RI, Nguyen M, Nguyen QL, Nguyen TH, Tran TT, Nguyen TT, Anggraini Ningrum DN, Norrving B, Noubiap JJ, O’Donnell MJ, Olagunju AT, Onuma OK, Owolabi MO, Parsaeian M, Patton GC, Piradov M, Pletcher MA, Pourmalek F, Prakash V, Qorbani M, Rahman M, Rahman MA, Rai RK, Ranta A, Rawaf D, Rawaf S, Renzaho AMN, Robinson SR, Sahathevan R, Sahebkar A, Salomon JA, Santalucia P, Santos IS, Sartorius B, Schutte AE, Sepanlou SG, Shafieesabet A, Shaikh MA, Shamsizadeh M, Sheth KN, Sisay M, Shin MJ, Shiue I, Silva DAS, Sobngwi E, Soljak M, Sorensen RJD, Sposato LA, Stranges S, Suliankatchi RA, Tabarés-Seisdedos R, Tanne D, Nguyen CT, Thakur JS, Thrift AG, Tirschwell DL, Topor-Madry R, Tran BX, Nguyen LT, Truelsen T, Tsilimparis N, Tyrovolas S, Ukwaja KN, Uthman OA, Varakin Y, Vasankari T, Venketasubramanian N, Vlassov VV, Wang W, Werdecker A, Wolfe CDA, Xu G, Yano Y, Yonemoto N, Yu C, Zaidi Z, El Sayed Zaki M, Zhou M, Ziaeian B, Zipkin B, Vos T, Naghavi M, Murray CJL, Roth GA. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016. N Engl J Med 2018; 379:2429-2437. [PMID: 30575491 PMCID: PMC6247346 DOI: 10.1056/nejmoa1804492] [Citation(s) in RCA: 813] [Impact Index Per Article: 135.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND The lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases. METHODS We used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate. RESULTS The estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation. CONCLUSIONS In 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).
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Poydasheva A, Lyukmanov R, Chernyavsky A, Aziatskaya G, Suponeva N, Piradov M. S183. The dynamics of the m. extensor digitorum communis cortical representation after motor imagery training sessions using brain-computer interface: Controlled study. Clin Neurophysiol 2018. [DOI: 10.1016/j.clinph.2018.04.543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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Aziatskaya G, Lyukmanov R, Frolov A, Bobrov P, Fedotova I, Husek D, Snasel V, Suponeva N, Piradov M, Poydasheva A. F191. Electrophysiological brain activity during motor imagery enhanced by brain–computer interface in healthy volunteers and post-stroke patients. Clin Neurophysiol 2018. [DOI: 10.1016/j.clinph.2018.04.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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Legostaeva L, Mochalova E, Poydasheva A, Kremneva E, Sergeev D, Ryabinkina J, Domashenko M, Suponeva N, Piradov M. Misdiagnosis in doc patients: Russian experience. J Neurol Sci 2017. [DOI: 10.1016/j.jns.2017.08.2134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Zaytseva N, Dr Suponeva N, Belova N, Lagoda D, Yusupova D, Korepina O, Piradov M. The diagnostic opportunities of sympathetic skin response in patients with carpal tunnel syndrome. J Neurol Sci 2017. [DOI: 10.1016/j.jns.2017.08.770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Poydasheva A, Chernyavskiy A, Bakulin I, Suponeva N, Piradov M. P299 Motor mapping with navigated transcranial magnetic stimulation: Does more stimuli increase the accuracy? Clin Neurophysiol 2017. [DOI: 10.1016/j.clinph.2017.07.307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Poydasheva A, Zmeykina E, Chernyavskiy A, Chervyakov A, Suponeva N, Piradov M. P219 The variability of targets for repetitive transcranial magnetic stimulation based on navigated TMS mapping and intrinsic connectivity measures. Clin Neurophysiol 2017. [DOI: 10.1016/j.clinph.2016.10.336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Poydasheva A, Zmeykina E, Chernyavskiy A, Chervyakov A, Lykova J, Suponeva N, Piradov M. The efficacy of repetitive transcranial magnetic stimulation of left DLPFC with personalized targeting in major depression: preliminary results of pseudo-randomised study. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Poydasheva A, Chernyavskiy A, Chervyakov A, Suponeva N, Semenova O, Timerbaeva S, Piradov M. P045 The stability of hand cortical motor representations in writer’s cramp patients after repetitive transcranial magnetic stimulation. Clin Neurophysiol 2017. [DOI: 10.1016/j.clinph.2016.10.171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Korzhova J, Sinitsyn D, Chervyakov A, Poydasheva A, Zakharova M, Suponeva N, Chernikova L, Piradov M. Transcranial and spinal cord magnetic stimulation in treatment of spasticity: a literature review and meta-analysis. Eur J Phys Rehabil Med 2016; 54:75-84. [PMID: 28004906 DOI: 10.23736/s1973-9087.16.04433-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Spasticity is associated with various diseases of the nervous system. Current treatments such as drug therapy, botulinum toxin injections, kinesitherapy, and physiotherapy are not sufficiently effective in a large number of patients. Transcranial magnetic stimulation (TMS) can be considered as an alternative method of treatment. The purpose of this article was to conduct a systematic review and meta-analysis of all available publications assessing the efficacy of repetitive TMS in treatment of spasticity. EVIDENCE ACQUISITION Search for articles was conducted in databases PubMed, Willey, and Google. Keywords included "TMS", "spasticity", "TMS and spasticity", "non-invasive brain stimulation", and "non-invasive spinal cord stimulation". The difference in scores according to the Modified Ashworth Scale (MAS) for one joint before and after treatment was taken as the effect size. EVIDENCE SYNTHESIS We found 26 articles that examined the TMS efficacy in treatment of spasticity. Meta-analysis included 6 trials comprising 149 patients who underwent real stimulation or simulation. No statistically significant difference in the effect of real and simulated stimulation was found in stroke patients. In patients with spinal cord injury and spasticity, the mean effect size value and the 95% confidence interval were -0.80 and (-1.12, -0.49), respectively, in a group of real stimulation; in the case of simulated stimulation, these parameters were 0.15 and (-0.30, -0.00), respectively. Statistically significant differences between groups of real stimulation and simulation were demonstrated for using high-frequency repetitive TMS or iTBS mode for the M1 area of the spastic leg (P=0.0002). CONCLUSIONS According to the meta-analysis, the statistically significant effect of TMS in the form of reduced spasticity was demonstrated only for the developed due to lesions at the brain stem and spinal cord level. To clarify the amount of the antispasmodic effect of repetitive TMS at other lesion levels, in particular in patients with hemispheric stroke, further research is required.
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Affiliation(s)
- Julia Korzhova
- Neurorehabilitation Department, Research Center of Neurology, Moscow, Russia -
| | - Dmitry Sinitsyn
- Neurorehabilitation Department, Research Center of Neurology, Moscow, Russia.,Semenov Institute of Chemical Physics, Russian Academy of Sciences, Moscow, Russia
| | | | | | - Maria Zakharova
- Neurorehabilitation Department, Research Center of Neurology, Moscow, Russia
| | - Natalia Suponeva
- Neurorehabilitation Department, Research Center of Neurology, Moscow, Russia
| | - Lyudmila Chernikova
- Neurorehabilitation Department, Research Center of Neurology, Moscow, Russia
| | - Michael Piradov
- Neurorehabilitation Department, Research Center of Neurology, Moscow, Russia
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Legostaeva L, Zmeykina E, Kremneva E, Poydasheva A, Chervyakov A, Sergeev D, Sychev I, Ryabinkina J, Suponeva N, Piradov M. ID 381 – Functional neuroimaging study of patients with disorders of consciousness. Value of default mode network (DMN). Clin Neurophysiol 2016. [DOI: 10.1016/j.clinph.2015.11.261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Parmar P, Krishnamurthi R, Ikram MA, Hofman A, Mirza SS, Varakin Y, Kravchenko M, Piradov M, Thrift AG, Norrving B, Wang W, Mandal DK, Barker-Collo S, Sahathevan R, Davis S, Saposnik G, Kivipelto M, Sindi S, Bornstein NM, Giroud M, Béjot Y, Brainin M, Poulton R, Narayan KMV, Correia M, Freire A, Kokubo Y, Wiebers D, Mensah G, BinDhim NF, Barber PA, Pandian JD, Hankey GJ, Mehndiratta MM, Azhagammal S, Ibrahim NM, Abbott M, Rush E, Hume P, Hussein T, Bhattacharjee R, Purohit M, Feigin VL. The Stroke Riskometer(TM) App: validation of a data collection tool and stroke risk predictor. Int J Stroke 2014; 10:231-44. [PMID: 25491651 PMCID: PMC4335600 DOI: 10.1111/ijs.12411] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Accepted: 10/28/2014] [Indexed: 11/26/2022]
Abstract
Background The greatest potential to reduce the burden of stroke is by primary prevention of first-ever stroke, which constitutes three quarters of all stroke. In addition to population-wide prevention strategies (the ‘mass’ approach), the ‘high risk’ approach aims to identify individuals at risk of stroke and to modify their risk factors, and risk, accordingly. Current methods of assessing and modifying stroke risk are difficult to access and implement by the general population, amongst whom most future strokes will arise. To help reduce the burden of stroke on individuals and the population a new app, the Stroke Riskometer™, has been developed. We aim to explore the validity of the app for predicting the risk of stroke compared with current best methods. Methods 752 stroke outcomes from a sample of 9501 individuals across three countries (New Zealand, Russia and the Netherlands) were utilized to investigate the performance of a novel stroke risk prediction tool algorithm (Stroke Riskometer™) compared with two established stroke risk score prediction algorithms (Framingham Stroke Risk Score [FSRS] and QStroke). We calculated the receiver operating characteristics (ROC) curves and area under the ROC curve (AUROC) with 95% confidence intervals, Harrels C-statistic and D-statistics for measure of discrimination, R2 statistics to indicate level of variability accounted for by each prediction algorithm, the Hosmer-Lemeshow statistic for calibration, and the sensitivity and specificity of each algorithm. Results The Stroke Riskometer™ performed well against the FSRS five-year AUROC for both males (FSRS = 75·0% (95% CI 72·3%–77·6%), Stroke Riskometer™ = 74·0(95% CI 71·3%–76·7%) and females [FSRS = 70·3% (95% CI 67·9%–72·8%, Stroke Riskometer™ = 71·5% (95% CI 69·0%–73·9%)], and better than QStroke [males – 59·7% (95% CI 57·3%–62·0%) and comparable to females = 71·1% (95% CI 69·0%–73·1%)]. Discriminative ability of all algorithms was low (C-statistic ranging from 0·51–0·56, D-statistic ranging from 0·01–0·12). Hosmer-Lemeshow illustrated that all of the predicted risk scores were not well calibrated with the observed event data (P < 0·006). Conclusions The Stroke Riskometer™ is comparable in performance for stroke prediction with FSRS and QStroke. All three algorithms performed equally poorly in predicting stroke events. The Stroke Riskometer™ will be continually developed and validated to address the need to improve the current stroke risk scoring systems to more accurately predict stroke, particularly by identifying robust ethnic/race ethnicity group and country specific risk factors.
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Chervyakov A, Peresedova A, Poydasheva A, Korzhova J, Savitskaya N, Pavlov N, Chernikova L, Gnezditsky V, Zavalishin I, Piradov M. P570: Intermittent theta burst stimulation in treatment of pharmacoresistant spasticity. Clin Neurophysiol 2014. [DOI: 10.1016/s1388-2457(14)50664-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Chervyakov A, Piradov M, Chernikova L, Nazarova M, Gnezditsky V, Savitskaya N, Fedin P. Capability of navigated repeated transcranial magnetic stimulation in stroke rehabilitation (Randomized blind sham-controlled study) (Clinicaltrials.gov identifier: NCT01652677). J Neurol Sci 2013. [DOI: 10.1016/j.jns.2013.07.955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Piradov M, Prokazova P, Ryabinkina J, Gnedovskaya E. Early Robot-Assisted Therapy in Patients with Stroke in Neurointensive Care Unit. J Neurol Sci 2013. [DOI: 10.1016/j.jns.2013.07.1088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Chervyakov A, Bakulin I, Savitskaya N, Zakharova M, Piradov M. Navigated transcranial magnetic stimulation in Motor Neuron Disease (MND). J Neurol Sci 2013. [DOI: 10.1016/j.jns.2013.07.1646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Piradov M, Chernikova L, Tanashyan M, Kadykov A, Chervyakov A, Nazarova M, Gnezditsky V, Konovalov R, Savitskaya N, Fedin P, Suslin A, Glebov M, Dobrynina L. P 219. Navigated repeated transcranial magnetic stimulation in stroke rehabilitation (randomized blind sham-controlled study), Preliminary results: safety and tolerability. Clin Neurophysiol 2013. [DOI: 10.1016/j.clinph.2013.04.296] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Grisold W, Ambler Z, Hopkins+ A, Muller E, Piradov M, Portera-Sanchez A, Vodusek D. European Federation of Neurological Societies(EFNS) - approval (co-sponsorship) of Continuing Medical Education (CME) meetings. Guidelines developed by the EFNS Task Force for Continuing Medical Education (CME). Eur J Neurol 1999. [DOI: 10.1046/j.1468-1331.1999.630259.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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