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Hayward W, Buch ER, Norato G, Iwane F, Dash D, Salamanca-Girón RF, Bartrum E, Walitt B, Nath A, Cohen LG. Procedural Motor Memory Deficits in Patients With Long-COVID. Neurology 2024; 102:e208073. [PMID: 38237090 PMCID: PMC11097756 DOI: 10.1212/wnl.0000000000208073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/26/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND AND OBJECTIVES At least 15% of patients who recover from acute severe acute respiratory syndrome coronavirus 2 infection experience lasting symptoms ("Long-COVID") including "brain fog" and deficits in declarative memory. It is not known if Long-COVID affects patients' ability to form and retain procedural motor skill memories. The objective was to determine the ability of patients with Long-COVID to acquire and consolidate a new procedural motor skill over 2 training days. The primary outcome was to determine difference in early learning, measured as the increase in correct sequence typing speed over the initial 11 practice trials of a new skill. The secondary outcomes were initial and final typing speed on days 1 and 2, learning rate, overnight consolidation, and typing accuracy. METHODS In this prospective, cross-sectional, online, case-control study, participants learned a sequential motor skill over 2 consecutive days (NCT05746624). Patients with Long-COVID (reporting persistent post-coronavirus disease 2019 [COVID-19] symptoms for more than 4 weeks) were recruited at the NIH. Patients were matched one-to-one by age and sex to controls recruited during the pandemic using a crowd-sourcing platform. Selection criteria included age 18-90 years, English speaking, right-handed, able to type with the left hand, denied active fever or respiratory infection, and no previous task exposure. Data were also compared with an age-matched and sex-matched control group who performed the task online before the COVID-19 pandemic (prepandemic controls). RESULTS In total, 105 of 236 patients contacted agreed to participate and completed the experiment (mean ± SD age 46 ± 12.8 years, 82% female). Both healthy control groups had 105 participants (mean age 46 ± 13.1 and 46 ± 11.9 years, 82% female). Early learning was comparable across groups (Long-COVID: 0.36 ± 0.24 correct sequences/second, pandemic controls: 0.36 ± 0.53 prepandemic controls: 0.38 ± 0.57, patients vs pandemic controls [CI -0.068 to 0.067], vs prepandemic controls [CI -0.084 to 0.052], and between controls [CI -0.083 to 0.053], p = 0.82). Initial and final typing speeds on days 1 and 2 were slower in patients than controls. Patients with Long-COVID showed a significantly reduced overnight consolidation and a nonsignificant trend to reduced learning rates. DISCUSSION Early learning was comparable in patients with Long-COVID and controls. Anomalous initial performance is consistent with executive dysfunction. Reduction in overnight consolidation may relate to deficits in procedural memory formation.
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Affiliation(s)
- William Hayward
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Ethan R Buch
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Gina Norato
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Fumiaki Iwane
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Dabedatta Dash
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Roberto F Salamanca-Girón
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Elizabeth Bartrum
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Brian Walitt
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Avindra Nath
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Leonardo G Cohen
- From the Human Cortical Physiology and Neurorehabilitation Section (W.H., E.R.B., F.I., D.D., R.F.S.-G., L.G.C.), Clinical Trials Unit (G.N.), Office of the Clinical Director, and Section of Infections of the Nervous System (E.B., B.W., A.N.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
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Edwards JD, Dominguez-Vargas AU, Rosso C, Branscheidt M, Sheehy L, Quandt F, Zamora SA, Fleming MK, Azzollini V, Mooney RA, Stagg CJ, Gerloff C, Rossi S, Cohen LG, Celnik P, Nitsche MA, Buetefisch CM, Dancause N. A translational roadmap for transcranial magnetic and direct current stimulation in stroke rehabilitation: Consensus-based core recommendations from the third stroke recovery and rehabilitation roundtable. Int J Stroke 2024; 19:145-157. [PMID: 37824726 PMCID: PMC10811969 DOI: 10.1177/17474930231203982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/16/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND AND AIMS The purpose of this Third Stroke Recovery and Rehabilitation Roundtable (SRRR3) was to develop consensus recommendations to address outstanding barriers for the translation of preclinical and clinical research using the non-invasive brain stimulation (NIBS) techniques Transcranial Magnetic Stimulation (TMS) and Transcranial Direct Current Stimulation (tDCS) and provide a roadmap for the integration of these techniques into clinical practice. METHODS International NIBS and stroke recovery experts (N = 18) contributed to the consensus process. Using a nominal group technique, recommendations were reached via a five-stage process, involving a thematic survey, two priority ranking surveys, a literature review and an in-person meeting. RESULTS AND CONCLUSIONS Results of our consensus process yielded five key evidence-based and feasibility barriers for the translation of preclinical and clinical NIBS research, which were formulated into five core consensus recommendations. Recommendations highlight an urgent need for (1) increased understanding of NIBS mechanisms, (2) improved methodological rigor in both preclinical and clinical NIBS studies, (3) standardization of outcome measures, (4) increased clinical relevance in preclinical animal models, and (5) greater optimization and individualization of NIBS protocols. To facilitate the implementation of these recommendations, the expert panel developed a new SRRR3 Unified NIBS Research Checklist. These recommendations represent a translational pathway for the use of NIBS in stroke rehabilitation research and practice.
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Affiliation(s)
- Jodi D Edwards
- University of Ottawa Heart Institute, Ottawa, ON, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | | | | | - Meret Branscheidt
- Cereneo Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Lisa Sheehy
- Bruyére Research Institute, Ottawa, ON, Canada
| | - Fanny Quandt
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simon A Zamora
- Cereneo Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | | | | | | | | | | | | | | | | | - Michael A Nitsche
- Leibniz Research Center for Working Environment and Human Factors, Dortmund, Germany
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3
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Edwards JD, Dominguez-Vargas AU, Rosso C, Branscheidt M, Sheehy L, Quandt F, Zamora SA, Fleming MK, Azzollini V, Mooney RA, Stagg CJ, Gerloff C, Rossi S, Cohen LG, Celnik P, Nitsche MA, Buetefisch CM, Dancause N. A translational roadmap for transcranial magnetic and direct current stimulation in stroke rehabilitation: Consensus-based core recommendations from the third stroke recovery and rehabilitation roundtable. Neurorehabil Neural Repair 2024; 38:19-29. [PMID: 37837350 PMCID: PMC10860359 DOI: 10.1177/15459683231209136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2023]
Abstract
BACKGROUND AND AIMS The purpose of this Third Stroke Recovery and Rehabilitation Roundtable (SRRR3) was to develop consensus recommendations to address outstanding barriers for the translation of preclinical and clinical research using the non-invasive brain stimulation (NIBS) techniques Transcranial Magnetic Stimulation (TMS) and Transcranial Direct Current Stimulation (tDCS) and provide a roadmap for the integration of these techniques into clinical practice. METHODS International NIBS and stroke recovery experts (N = 18) contributed to the consensus process. Using a nominal group technique, recommendations were reached via a five-stage process, involving a thematic survey, two priority ranking surveys, a literature review and an in-person meeting. RESULTS AND CONCLUSIONS Results of our consensus process yielded five key evidence-based and feasibility barriers for the translation of preclinical and clinical NIBS research, which were formulated into five core consensus recommendations. Recommendations highlight an urgent need for (1) increased understanding of NIBS mechanisms, (2) improved methodological rigor in both preclinical and clinical NIBS studies, (3) standardization of outcome measures, (4) increased clinical relevance in preclinical animal models, and (5) greater optimization and individualization of NIBS protocols. To facilitate the implementation of these recommendations, the expert panel developed a new SRRR3 Unified NIBS Research Checklist. These recommendations represent a translational pathway for the use of NIBS in stroke rehabilitation research and practice.
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Affiliation(s)
- Jodi D Edwards
- University of Ottawa Heart Institute, Ottawa, ON, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | | | | | - Meret Branscheidt
- Cereneo Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Lisa Sheehy
- Bruyére Research Institute, Ottawa, ON, Canada
| | - Fanny Quandt
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simon A Zamora
- Cereneo Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | | | | | | | | | | | | | | | | | - Michael A Nitsche
- Leibniz Research Center for Working Environment and Human Factors, Dortmund, Germany
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Caramia MD, Cohen LG, Rossini PM. In Memoriam: Professor Arnold Starr [New York Aug 5,1932] - [Laguna Beach Jul 2, 2023]. Clin Neurophysiol 2023:S1388-2457(23)00754-X. [PMID: 37926625 DOI: 10.1016/j.clinph.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/07/2023]
Affiliation(s)
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Paolo M Rossini
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.
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Johnson BP, Iturrate I, Fakhreddine RY, Bönstrup M, Buch ER, Robertson EM, Cohen LG. Generalization of procedural motor sequence learning after a single practice trial. NPJ Sci Learn 2023; 8:45. [PMID: 37803003 PMCID: PMC10558563 DOI: 10.1038/s41539-023-00194-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 09/14/2023] [Indexed: 10/08/2023]
Abstract
When humans begin learning new motor skills, they typically display early rapid performance improvements. It is not well understood how knowledge acquired during this early skill learning period generalizes to new, related skills. Here, we addressed this question by investigating factors influencing generalization of early learning from a skill A to a different, but related skill B. Early skill generalization was tested over four experiments (N = 2095). Subjects successively learned two related motor sequence skills (skills A and B) over different practice schedules. Skill A and B sequences shared ordinal (i.e., matching keypress locations), transitional (i.e., ordered keypress pairs), parsing rule (i.e., distinct sequence events like repeated keypresses that can be used as a breakpoint for segmenting the sequence into smaller units) structures, or possessed no structure similarities. Results showed generalization for shared parsing rule structure between skills A and B after only a single 10-second practice trial of skill A. Manipulating the initial practice exposure to skill A (1 to 12 trials) and inter-practice rest interval (0-30 s) between skills A and B had no impact on parsing rule structure generalization. Furthermore, this generalization was not explained by stronger sensorimotor mapping between individual keypress actions and their symbolic representations. In contrast, learning from skill A did not generalize to skill B during early learning when the sequences shared only ordinal or transitional structure features. These results document sequence structure that can be very rapidly generalized during initial learning to facilitate generalization of skill.
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Affiliation(s)
- B P Johnson
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, USA
- Washington University in St Louis, St. Louis, USA
| | - I Iturrate
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, USA
- Amazon EU, Barcelona, Spain
| | - R Y Fakhreddine
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, USA
- UT Austin, Austin, USA
| | | | - E R Buch
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, USA.
| | - E M Robertson
- Center for Cognitive Neuroimaging, University of Glasgow, Glasgow, Scotland, UK
| | - L G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, USA.
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6
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Iwane F, Dash D, Salamanca-Giron RF, Hayward W, Bönstrup M, Buch ER, Cohen LG. Combined low-frequency brain oscillatory activity and behavior predict future errors in human motor skill. Curr Biol 2023; 33:3145-3154.e5. [PMID: 37442139 DOI: 10.1016/j.cub.2023.06.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 03/24/2023] [Accepted: 06/13/2023] [Indexed: 07/15/2023]
Abstract
Human skills are composed of sequences of individual actions performed with utmost precision. When occasional errors occur, they may have serious consequences, for example, when pilots are manually landing a plane. In such cases, the ability to predict an error before it occurs would clearly be advantageous. Here, we asked whether it is possible to predict future errors in a keyboard procedural human motor skill. We report that prolonged keypress transition times (KTTs), reflecting slower speed, and anomalous delta-band oscillatory activity in cingulate-entorhinal-precuneus brain regions precede upcoming errors in skill. Combined anomalous low-frequency activity and prolonged KTTs predicted up to 70% of future errors. Decoding strength (posterior probability of error) increased progressively approaching the errors. We conclude that it is possible to predict future individual errors in skill sequential performance.
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Affiliation(s)
- Fumiaki Iwane
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD 20892, USA
| | - Debadatta Dash
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD 20892, USA
| | | | - William Hayward
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD 20892, USA
| | - Marlene Bönstrup
- Department of Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Ethan R Buch
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD 20892, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD 20892, USA.
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Herszage J, Bönstrup M, Cohen LG, Censor N. Reactivation-induced motor skill modulation does not operate at a rapid micro-timescale level. Sci Rep 2023; 13:2930. [PMID: 36808164 PMCID: PMC9941091 DOI: 10.1038/s41598-023-29963-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
Abundant evidence shows that consolidated memories are susceptible to modifications following their reactivation. Processes of memory consolidation and reactivation-induced skill modulation have been commonly documented after hours or days. Motivated by studies showing rapid consolidation in early stages of motor skill acquisition, here we asked whether motor skill memories are susceptible to modifications following brief reactivations, even at initial stages of learning. In a set of experiments, we collected crowdsourced online motor sequence data to test whether post-encoding interference and performance enhancement occur following brief reactivations in early stages of learning. Results indicate that memories forming during early learning are not susceptible to interference nor to enhancement within a rapid reactivation-induced time window, relative to control conditions. This set of evidence suggests that reactivation-induced motor skill memory modulation might be dependent on consolidation at the macro-timescale level, requiring hours or days to occur.
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Affiliation(s)
- Jasmine Herszage
- grid.12136.370000 0004 1937 0546School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Sharet Building, 69978 Tel Aviv, Israel
| | - Marlene Bönstrup
- grid.9647.c0000 0004 7669 9786Department of Neurology, University of Leipzig, Leipzig, Germany
| | - Leonardo G. Cohen
- grid.416870.c0000 0001 2177 357XHuman Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD USA
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Sharet Building, 69978, Tel Aviv, Israel.
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Johnson BP, Cohen LG. Applied strategies of neuroplasticity. Handb Clin Neurol 2023; 196:599-609. [PMID: 37620093 DOI: 10.1016/b978-0-323-98817-9.00011-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Various levels of somatotopic organization are present throughout the human nervous system. However, this organization can change when needed based on environmental demands, a phenomenon known as neuroplasticity. Neuroplasticity can occur when learning a new motor skill, adjusting to life after blindness, or following a stroke. Following an injury, these neuroplastic changes can be adaptive or maladaptive, and often occur regardless of whether rehabilitation occurs or not. But not all movements produce neuroplasticity, nor do all rehabilitation interventions. Here, we focus on research regarding how to maximize adaptive neuroplasticity while also minimizing maladaptive plasticity, known as applied neuroplasticity. Emphasis is placed on research exploring how best to apply neuroplastic principles to training environments and rehabilitation protocols. By studying and applying these principles in research and clinical practice, it is hoped that learning of skills and regaining of function and independence can be optimized.
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Affiliation(s)
- Brian P Johnson
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
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Hsu G, Shereen AD, Cohen LG, Parra LC. Robust enhancement of motor sequence learning with 4 mA transcranial electric stimulation. Brain Stimul 2023; 16:56-67. [PMID: 36574814 PMCID: PMC10171179 DOI: 10.1016/j.brs.2022.12.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Motor learning experiments with transcranial direct current stimulation (tDCS) at 2 mA have produced mixed results. We hypothesize that tDCS boosts motor learning provided sufficiently high field intensity on the motor cortex. METHODS In a single-blinded design, 108 healthy participants received either anodal (N = 36) or cathodal (N = 36) tDCS at 4 mA total, or no stimulation (N = 36) while they practiced a 12-min sequence learning task. Anodal stimulation was delivered across four electrode pairs (1 mA each), with anodes above the right parietal lobe and cathodes above the right frontal lobe. Cathodal stimulation, with reversed polarities, served as an active control for sensation, while the no-stimulation condition established baseline performance. fMRI-localized targets on the primary motor cortex in 10 subjects were used in current flow models to optimize electrode placement for maximal field intensity. A single electrode montage was then selected for all participants. RESULTS We found a significant difference in performance with anodal vs. cathodal stimulation (Cohen's d = 0.71) and vs. no stimulation (d = 0.56). This effect persisted for at least 1 h, and subsequent learning for a new sequence and the opposite hand also improved. Sensation ratings were comparable in the active groups and did not exceed moderate levels. Current flow models suggest the new electrode montage can achieve stronger motor cortex polarization than alternative montages. CONCLUSION The present paradigm shows a medium to large effect size and is well-tolerated. It may serve as a go-to experiment for future studies on motor learning and tDCS.
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Affiliation(s)
- Gavin Hsu
- Department of Biomedical Engineering, The City College of New York, The City University of New York, New York, NY, USA.
| | - A Duke Shereen
- Advanced Science Research Center at the Graduate Center of the City University of New York, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Lucas C Parra
- Department of Biomedical Engineering, The City College of New York, The City University of New York, New York, NY, USA
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Ni Z, Pajevic S, Chen L, Leodori G, Vial F, Avram AV, Zhang Y, McGurrin P, Cohen LG, Basser PJ, Hallett M. Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex. Clin Neurophysiol 2022; 141:42-52. [PMID: 35841868 PMCID: PMC9398981 DOI: 10.1016/j.clinph.2022.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/17/2022] [Accepted: 06/21/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the neuronal elements involved in the activation of corticospinal neurons in the primary motor cortex (M1). METHODS We studied 10 healthy subjects. Cortical evoked potentials with different components induced by monophasic transcranial magnetic stimulation (TMS) in anterior-posterior and posterior-anterior currents recorded with electroencephalography (EEG) were analyzed. RESULTS EEG signatures with P25 and N45 components recorded at the C3 electrode with posterior-anterior current were larger than those with anterior-posterior current, while the signatures with P180 and N280 components recorded at the FC1 electrode with anterior-posterior current were larger than those with posterior-anterior current. The source localization analysis revealed that the cortical evoked potential with anterior-posterior current distributed both in the M1 and premotor cortex while that with posterior-anterior current only located in the M1. CONCLUSIONS We conclude that the activation of corticospinal pyramidal neurons in the M1 is affected by various neuronal elements including the local intracortical circuits in the M1 and inputs from premotor cortex with different sensitivities to TMS in opposite current directions. SIGNIFICANCE Our finding helped answer a longstanding question about how the corticospinal pathway from the M1 is functionally organized and activated.
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Affiliation(s)
- Zhen Ni
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
| | - Sinisa Pajevic
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, USA
| | - Li Chen
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
| | | | - Felipe Vial
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA; Facultad de Medicina Clinica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Alexandru V Avram
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, USA; National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, USA
| | - Yong Zhang
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
| | - Patrick McGurrin
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, USA
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA.
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Hodics T, Cohen LG, Pezzullo JC, Kowalske K, Dromerick AW. Barriers to Enrollment in Post-Stroke Brain Stimulation in a Racially and Ethnically Diverse Population. Neurorehabil Neural Repair 2022; 36:596-602. [PMID: 35925037 DOI: 10.1177/15459683221088861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Brain stimulation is an adjuvant strategy to promote rehabilitation after stroke. Here, we evaluated the influence of inclusion/exclusion criteria on enrollment in a transcranial direct current stimulation (tDCS) trial in the context of a racially/ethnically diverse acute stroke service at University of Texas Southwestern (UTSW). METHODS 3124 (59.7 ± 14.5 years) racially/ethnically diverse (38.4% non-Hispanic white, (W), Hispanic (H) 22%, African American (AA) 33.5%, Asian (A) 2.3%) patients were screened in the acute stroke service at UTSW. Demographics, stroke characteristics, and reasons for exclusion were recorded prospectively. RESULTS 2327 (74.5%) patients had a verified stroke. Only 44 of them (1.9%) were eligible. Causes for exclusion included in order of importance: (1) magnitude of upper extremity (UE) motor impairment, (2) prior strokes (s), (3) hemorrhagic stroke, (4) psychiatric condition or inability to follow instructions, and (5) old age, of these (2) and (4) were more common in AA patients but not in other minorities. 31 of the 44 eligible individuals were enrolled (W 1.68%, H 1.37%, AA .77%, A 3.774%). 90.5% of verified stroke patients did not exhibit contraindications for stimulation. CONCLUSIONS 3 main conclusions emerged: (a) The main limitations for inclusion in brain stimulation trials of motor recovery were magnitude of UE motor impairments and stroke lesion characteristics, (b) most stroke patients could be stimulated with tDCS without safety concerns and (c) carefully tailored inclusion criteria could increase diversity in enrollment.Clinical Trial Registration-URL: http://clinicaltrials.gov. Unique identifier: NCT01007136.
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Affiliation(s)
- Timea Hodics
- Department of Neurology and Neurotherapeutics, 12334University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Neurology, 23534Houston Methodist Hospital, Houston, TX, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Stroke Neurorehabilitation Section, National Institutes of Health, 35046National Institutes of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - John C Pezzullo
- Department of Medicine, 8368Georgetown University Medical Center, Washington, DC, USA
| | - Karen Kowalske
- Department of Physical Medicine and Rehabilitation, 12334University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Alexander W Dromerick
- Department of Rehabilitation Medicine and Neurology, MedStar National Rehabilitation Hospital, Washington, DC, USA.,8368Center for Brain Plasticity and Recovery, Departments of Rehabilitation Medicine and Neurology, Georgetown University Medical Center, Washington, DC USA.,Research Division, MedStar National Rehabilitation Hospital, Washington, DC, USA
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12
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Nasr K, Haslacher D, Dayan E, Censor N, Cohen LG, Soekadar SR. Breaking the boundaries of interacting with the human brain using adaptive closed-loop stimulation. Prog Neurobiol 2022; 216:102311. [PMID: 35750290 DOI: 10.1016/j.pneurobio.2022.102311] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/20/2022] [Indexed: 11/18/2022]
Abstract
The human brain is arguably one of the most complex systems in nature. To understand how it operates, it is essential to understand the link between neural activity and behavior. Experimental investigation of that link requires tools to interact with neural activity during behavior. Human neuroscience, however, has been severely bottlenecked by the limitations of these tools. While invasive methods can support highly specific interaction with brain activity during behavior, their applicability in human neuroscience is limited. Despite extensive development in the last decades, noninvasive alternatives have lacked spatial specificity and yielded results that are commonly fraught with variability and replicability issues, along with relatively limited understanding of the neural mechanisms involved. Here we provide a comprehensive review of the state-of-the-art in interacting with human brain activity and highlight current limitations and recent efforts to overcome these limitations. Beyond crucial technical and scientific advancements in electromagnetic brain stimulation, new frontiers in interacting with human brain activity such as task-irrelevant sensory stimulation and focal ultrasound stimulation are introduced. Finally, we argue that, along with technological improvements and breakthroughs in noninvasive methods, a paradigm shift towards adaptive closed-loop stimulation will be a critical step for advancing human neuroscience.
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Affiliation(s)
- Khaled Nasr
- Clinical Neurotechnology Laboratory & Center for Translational Neuromodulation, Department of Psychiatry and Neurosciences, Charité Campus Mitte (CCM), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David Haslacher
- Clinical Neurotechnology Laboratory & Center for Translational Neuromodulation, Department of Psychiatry and Neurosciences, Charité Campus Mitte (CCM), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Eran Dayan
- Department of Radiology and Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institutes of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA
| | - Surjo R Soekadar
- Clinical Neurotechnology Laboratory & Center for Translational Neuromodulation, Department of Psychiatry and Neurosciences, Charité Campus Mitte (CCM), Charité - Universitätsmedizin Berlin, Berlin, Germany.
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13
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Abstract
Neuroplasticity follows nervous system injury in the presence or absence of rehabilitative treatments. Rehabilitative interventions can be used to modulate adaptive neuroplasticity, reducing motor impairment and improving activities of daily living in patients with brain lesions. Learning principles guide some rehabilitative interventions. While basic science research has shown that reward combined with training enhances learning, this principle has been only recently explored in the context of neurorehabilitation. Commonly used reinforcers may be more or less rewarding depending on the individual or the context in which the task is performed. Studies in healthy humans showed that both reward and punishment can enhance within-session motor performance; but reward, and not punishment, improves consolidation and retention of motor skills. On the other hand, neurorehabilitative training after brain lesions involves complex tasks (e.g., walking and activities of daily living). The contribution of reward to neurorehabilitation is incompletely understood. Here, we discuss recent research on the role of reward in neurorehabilitation and the needed directions of future research.
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Affiliation(s)
- Brian P Johnson
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
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14
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Conforto AB, Machado AG, Ribeiro NHV, Plow EB, Liew SL, da Costa Leite C, Zavaliangos-Petropulu A, Menezes I, Dos Anjos SM, Luccas R, Peckham PH, Cohen LG. Repetitive Peripheral Sensory Stimulation as an Add-On Intervention for Upper Limb Rehabilitation in Stroke: A Randomized Trial. Neurorehabil Neural Repair 2021; 35:1059-1064. [PMID: 34587830 DOI: 10.1177/15459683211046259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Repetitive peripheral sensory stimulation (RPSS) followed by 4-hour task-specific training (TST) improves upper limb motor function in subjects with stroke who experience moderate to severe motor upper limb impairments. Here, we compared effects of RPSS vs sham followed by a shorter duration of training in subjects with moderate to severe motor impairments in the chronic phase after stroke. METHODS This single-center, randomized, placebo-controlled, parallel-group clinical trial compared effects of 18 sessions of either 1.5 h of active RPSS or sham followed by a supervised session that included 45 min of TST of the paretic upper limb. In both groups, subjects were instructed to perform functional tasks at home, without supervision. The primary outcome measure was the Wolf Motor Function Test (WMFT) after 6 weeks of treatment. Grasp and pinch strength were secondary outcomes. RESULTS In intention-to-treat analysis, WMFT improved significantly in both active and sham groups at 3 and 6 weeks of treatment. Grasp strength improved significantly in the active, but not in the sham group, at 3 and 6 weeks. Pinch strength improved significantly in both groups at 3 weeks, and only in the active group at 6 weeks. CONCLUSIONS The between-group difference in changes in WMFT was not statistically significant. Despite the short duration of supervised treatment, WMFT improved significantly in subjects treated with RPSS or sham. These findings are relevant to settings that impose constraints in duration of direct contact between therapists and patients. In addition, RPSS led to significant gains in hand strength.Trial Registry Name: Peripheral Nerve Stimulation and Motor Training in Stroke Clinical Trials.gov identifier: NCT0265878 https://clinicaltrials.gov/ct2/show/NCT02658578.
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Affiliation(s)
- Adriana B Conforto
- Neurology Clinical Division, Hospital Das Clínicas, 117265São Paulo University and Fundação Faculdade de Medicina, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, Brazil.,Núcleo de Apoio à Pesquisa Em Neurociências (Center for Interdisciplinary Research on Applied Neurosciences: NAPNA), São Paulo University, São Paulo, Brazil
| | - André G Machado
- Departament of Neurosciences, 583189Lerner Reasearch Institute, Cleveland Clinic, Cleveland, OH, USA.,2546Case Western Reserve University, Cleveland, OH, USA
| | - Nathalia H V Ribeiro
- Neurology Clinical Division, Hospital Das Clínicas, 117265São Paulo University and Fundação Faculdade de Medicina, São Paulo, Brazil
| | - Ela B Plow
- Departament of Neurosciences, 583189Lerner Reasearch Institute, Cleveland Clinic, Cleveland, OH, USA.,2546Case Western Reserve University, Cleveland, OH, USA
| | - Sook-Lei Liew
- Chan Division of Occupational Science and Occupational Therapy, Biokinesiology and Physical Therapy, Biomedical Engineering, and Neurology; USC Stevens Neuroimaging and Informatics Institute, 5116University of Southern California, Los Angeles, CA, USA
| | - Claudia da Costa Leite
- Núcleo de Apoio à Pesquisa Em Neurociências (Center for Interdisciplinary Research on Applied Neurosciences: NAPNA), São Paulo University, São Paulo, Brazil.,LIM 44. Department of Radiology of Oncology, 37884Faculdade de Medicina, Hospital Das Clínicas/São Paulo University, São Paulo, Brazil
| | - Artemis Zavaliangos-Petropulu
- Chan Division of Occupational Science and Occupational Therapy, Biokinesiology and Physical Therapy, Biomedical Engineering, and Neurology; USC Stevens Neuroimaging and Informatics Institute, 5116University of Southern California, Los Angeles, CA, USA
| | - Isabella Menezes
- Neurology Clinical Division, Hospital Das Clínicas, 117265São Paulo University and Fundação Faculdade de Medicina, São Paulo, Brazil
| | - Sarah M Dos Anjos
- School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rafael Luccas
- Neurology Clinical Division, Hospital Das Clínicas, 117265São Paulo University and Fundação Faculdade de Medicina, São Paulo, Brazil
| | | | - Leonardo G Cohen
- Human Cortical Physiology and Stroke Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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15
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Quentin R, Fanuel L, Kiss M, Vernet M, Vékony T, Janacsek K, Cohen LG, Nemeth D. Statistical learning occurs during practice while high-order rule learning during rest period. NPJ Sci Learn 2021; 6:14. [PMID: 34210989 PMCID: PMC8249495 DOI: 10.1038/s41539-021-00093-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 04/19/2021] [Indexed: 06/13/2023]
Abstract
Knowing when the brain learns is crucial for both the comprehension of memory formation and consolidation and for developing new training and neurorehabilitation strategies in healthy and patient populations. Recently, a rapid form of offline learning developing during short rest periods has been shown to account for most of procedural learning, leading to the hypothesis that the brain mainly learns during rest between practice periods. Nonetheless, procedural learning has several subcomponents not disentangled in previous studies investigating learning dynamics, such as acquiring the statistical regularities of the task, or else the high-order rules that regulate its organization. Here we analyzed 506 behavioral sessions of implicit visuomotor deterministic and probabilistic sequence learning tasks, allowing the distinction between general skill learning, statistical learning, and high-order rule learning. Our results show that the temporal dynamics of apparently simultaneous learning processes differ. While high-order rule learning is acquired offline, statistical learning is evidenced online. These findings open new avenues on the short-scale temporal dynamics of learning and memory consolidation and reveal a fundamental distinction between statistical and high-order rule learning, the former benefiting from online evidence accumulation and the latter requiring short rest periods for rapid consolidation.
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Affiliation(s)
- Romain Quentin
- MEMO Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France.
- COPHY Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France.
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA.
| | - Lison Fanuel
- MEMO Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
| | - Mariann Kiss
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Marine Vernet
- IMPACT Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
| | - Teodóra Vékony
- MEMO Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
| | - Karolina Janacsek
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
- Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
- Centre for Thinking and Learning, Institute for Lifecourse Development, School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, London, UK
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - Dezso Nemeth
- MEMO Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France.
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
- Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
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16
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Buch ER, Claudino L, Quentin R, Bönstrup M, Cohen LG. Consolidation of human skill linked to waking hippocampo-neocortical replay. Cell Rep 2021; 35:109193. [PMID: 34107255 PMCID: PMC8259719 DOI: 10.1016/j.celrep.2021.109193] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [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: 12/21/2020] [Revised: 03/10/2021] [Accepted: 05/09/2021] [Indexed: 01/05/2023] Open
Abstract
The introduction of rest intervals interspersed with practice strengthens wakeful consolidation of skill. The mechanisms by which the brain binds discrete action representations into consolidated, highly temporally resolved skill sequences during waking rest are not known. To address this question, we recorded magnetoencephalography (MEG) during acquisition and rapid consolidation of a sequential motor skill. We report the presence of prominent, fast waking neural replay during the same rest periods in which rapid consolidation occurs. The observed replay is temporally compressed by approximately 20-fold relative to the acquired skill, is selective for the trained sequence, and predicts the magnitude of skill consolidation. Replay representations extend beyond the hippocampus and entorhinal cortex to the contralateral sensorimotor cortex. These results document the presence of robust hippocampo-neocortical replay supporting rapid wakeful consolidation of skill.
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Affiliation(s)
- Ethan R Buch
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA.
| | - Leonardo Claudino
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - Romain Quentin
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - Marlene Bönstrup
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA.
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17
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Hussain SJ, Vollmer MK, Stimely J, Norato G, Zrenner C, Ziemann U, Buch ER, Cohen LG. Phase-dependent offline enhancement of human motor memory. Brain Stimul 2021; 14:873-883. [PMID: 34048939 DOI: 10.1016/j.brs.2021.05.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 10/21/2022] Open
Abstract
BACKGROUND Skill learning engages offline activity in the primary motor cortex (M1). Sensorimotor cortical activity oscillates between excitatory trough and inhibitory peak phases of the mu (8-12 Hz) rhythm. We recently showed that these mu phases influence the magnitude and direction of neuroplasticity induction within M1. However, the contribution of M1 activity during mu peak and trough phases to human skill learning has not been investigated. OBJECTIVE To evaluate the effects of phase-dependent TMS during mu peak and trough phases on offline learning of a newly-acquired motor skill. METHODS On Day 1, three groups of healthy adults practiced an explicit motor sequence learning task with their non-dominant left hand. After practice, phase-dependent TMS was applied to the right M1 during either mu peak or mu trough phases. The third group received sham TMS during random mu phases. On Day 2, all subjects were re-tested on the same task to evaluate offline learning. RESULTS Subjects who received phase-dependent TMS during mu trough phases showed increased offline skill learning compared to those who received phase-dependent TMS during mu peak phases or sham TMS during random mu phases. Additionally, phase-dependent TMS during mu trough phases elicited stronger whole-brain broadband oscillatory power responses than phase-dependent TMS during mu peak phases. CONCLUSIONS We conclude that sensorimotor mu trough phases reflect brief windows of opportunity during which TMS can strengthen newly-acquired skill memories.
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Affiliation(s)
- Sara J Hussain
- Movement and Cognitive Rehabilitation Science Program, Department of Kinesiology and Health Education, University of Texas at Austin, Austin, TX, USA; Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - Mary K Vollmer
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Jessica Stimely
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Gina Norato
- Clinical Trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Zrenner
- Department of Neurology and Stroke and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ulf Ziemann
- Department of Neurology and Stroke and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ethan R Buch
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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18
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Abstract
Behavioral research in cognitive and human systems neuroscience has been largely carried out in-person in laboratory settings. Underpowering and lack of reproducibility due to small sample sizes have weakened conclusions of these investigations. In other disciplines, such as neuroeconomics and social sciences, crowdsourcing has been extensively utilized as a data collection tool, and a means to increase sample sizes. Recent methodological advances allow scientists, for the first time, to test online more complex cognitive, perceptual, and motor tasks. Here we review the nascent literature on the use of online crowdsourcing in cognitive and human systems neuroscience. These investigations take advantage of the ability to reliably track the activity of a participant's computer keyboard, mouse, and eye gaze in the context of large-scale studies online that involve diverse research participant pools. Crowdsourcing allows for testing the generalizability of behavioral hypotheses in real-life environments that are less accessible to lab-designed investigations. Crowdsourcing is further useful when in-laboratory studies are limited, for example during the current COVID-19 pandemic. We also discuss current limitations of crowdsourcing research, and suggest pathways to address them. We conclude that online crowdsourcing is likely to widen the scope and strengthen conclusions of cognitive and human systems neuroscience investigations.
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Affiliation(s)
- Brian P Johnson
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Eran Dayan
- Department of Radiology and Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
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19
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Affiliation(s)
- Brian P Johnson
- Department of Physical Therapy and Rehabilitation Science, School of Medicine, University of Maryland, Baltimore, MD, United States.,Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States
| | - Kelly P Westlake
- Department of Physical Therapy and Rehabilitation Science, School of Medicine, University of Maryland, Baltimore, MD, United States
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20
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Hussain SJ, Claudino L, Bönstrup M, Norato G, Cruciani G, Thompson R, Zrenner C, Ziemann U, Buch E, Cohen LG. Sensorimotor Oscillatory Phase-Power Interaction Gates Resting Human Corticospinal Output. Cereb Cortex 2020; 29:3766-3777. [PMID: 30496352 DOI: 10.1093/cercor/bhy255] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 08/21/2018] [Accepted: 09/13/2018] [Indexed: 02/07/2023] Open
Abstract
Oscillatory activity within sensorimotor networks is characterized by time-varying changes in phase and power. The influence of interactions between sensorimotor oscillatory phase and power on human motor function, like corticospinal output, is unknown. We addressed this gap in knowledge by delivering transcranial magnetic stimulation (TMS) to the human motor cortex during electroencephalography recordings in 20 healthy participants. Motor evoked potentials, a measure of corticospinal excitability, were categorized offline based on the mu (8-12 Hz) and beta (13-30 Hz) oscillatory phase and power at the time of TMS. Phase-dependency of corticospinal excitability was evaluated across a continuous range of power levels using trial-by-trial linear mixed-effects models. For mu, there was no effect of PHASE or POWER (P > 0.51), but a significant PHASE × POWER interaction (P = 0.002). The direction of phase-dependency reversed with changing mu power levels: corticospinal output was higher during mu troughs versus peaks when mu power was high while the opposite was true when mu power was low. A similar PHASE × POWER interaction was not present for beta oscillations (P > 0.11). We conclude that the interaction between sensorimotor oscillatory phase and power gates human corticospinal output to an extent unexplained by sensorimotor oscillatory phase or power alone.
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Affiliation(s)
- Sara J Hussain
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Leonardo Claudino
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Marlene Bönstrup
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Gina Norato
- Clinical Trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Gabriel Cruciani
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ryan Thompson
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Zrenner
- Department of Neurology and Stroke and Hertie Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str 3, Tübingen, Germany
| | - Ulf Ziemann
- Department of Neurology and Stroke and Hertie Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str 3, Tübingen, Germany
| | - Ethan Buch
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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21
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Baur D, Galevska D, Hussain S, Cohen LG, Ziemann U, Zrenner C. Induction of LTD-like corticospinal plasticity by low-frequency rTMS depends on pre-stimulus phase of sensorimotor μ-rhythm. Brain Stimul 2020; 13:1580-1587. [PMID: 32949780 PMCID: PMC7710977 DOI: 10.1016/j.brs.2020.09.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/01/2020] [Accepted: 09/10/2020] [Indexed: 12/21/2022] Open
Abstract
Background Neural oscillations reflect rapidly changing brain excitability states. We have demonstrated previously with EEG-triggered transcranial magnetic stimulation (TMS) of human motor cortex that the positive vs. negative peak of the sensorimotor μ-oscillation reflect corticospinal low-vs. high-excitability states. In vitro experiments showed that induction of long-term depression (LTD) by low-frequency stimulation depends on the postsynaptic excitability state. Objective/Hypothesis: We tested the hypothesis that induction of LTD-like corticospinal plasticity in humans by 1 Hz repetitive TMS (rTMS) is enhanced when rTMS is synchronized with the low-excitability state, but decreased or even shifted towards long-term (LTP)-like plasticity when synchronized with the high-excitability state. Methods We applied real-time EEG-triggered 1-Hz-rTMS (900 pulses) to the hand area of motor cortex in healthy subjects. In a randomized double-blind three-condition crossover design, pulses were synchronized to either the positive or negative peak of the sensorimotor μ-oscillation, or were applied at random phase (control). The amplitude of motor evoked potentials was recorded as an index of corticospinal excitability before and after 1-Hz-rTMS. Results 1-Hz-rTMS at random phase resulted in a trend towards LTD-like corticospinal plasticity. RTMS in the positive peak condition (i.e., the low-excitability state) induced significant LTD-like plasticity. RTMS in the negative peak condition (i.e., the high-excitability state) showed a trend towards LTP-like plasticity, which was significantly different from the other two conditions. Conclusion The level of corticospinal depolarization reflected by phase of the μ-oscillation determines the degree of corticospinal plasticity induced by low-frequency rTMS, a finding that may guide future personalized therapeutic stimulation. Positive vs. negative phase of μ-rhythm are states of low vs. high excitability. 1-Hz-rTMS coupled to positive but not negative phase results in LTD-like plasticity. Phase of μ-rhythm determines effect size of 1-Hz-rTMS induced plasticity.
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Affiliation(s)
- David Baur
- Department of Neurology & Stroke, University of Tübingen, Germany; Hertie-Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Dragana Galevska
- Department of Neurology & Stroke, University of Tübingen, Germany; Hertie-Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Sara Hussain
- Human Cortical Physiology and Neurorehabilitation Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ulf Ziemann
- Department of Neurology & Stroke, University of Tübingen, Germany; Hertie-Institute for Clinical Brain Research, University of Tübingen, Germany.
| | - Christoph Zrenner
- Department of Neurology & Stroke, University of Tübingen, Germany; Hertie-Institute for Clinical Brain Research, University of Tübingen, Germany
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22
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Hussain SJ, Hayward W, Fourcand F, Zrenner C, Ziemann U, Buch ER, Hayward MK, Cohen LG. Phase-dependent transcranial magnetic stimulation of the lesioned hemisphere is accurate after stroke. Brain Stimul 2020; 13:1354-1357. [PMID: 32687898 DOI: 10.1016/j.brs.2020.07.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 07/14/2020] [Indexed: 12/30/2022] Open
Affiliation(s)
- Sara J Hussain
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - William Hayward
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Department of Neurology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Farah Fourcand
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Stroke and Neurovascular Center, Hackensack Meridian JFK University Medical Center, Edison, NJ, USA
| | - Christoph Zrenner
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ulf Ziemann
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ethan R Buch
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Margaret K Hayward
- Clinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Bönstrup M, Iturrate I, Hebart MN, Censor N, Cohen LG. Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data. NPJ Sci Learn 2020; 5:7. [PMID: 32550003 PMCID: PMC7272649 DOI: 10.1038/s41539-020-0066-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 04/17/2020] [Indexed: 05/25/2023]
Abstract
Performance improvements during early human motor skill learning are suggested to be driven by short periods of rest during practice, at the scale of seconds. To reveal the unknown mechanisms behind these "micro-offline" gains, we leveraged the sampling power offered by online crowdsourcing (cumulative N over all experiments = 951). First, we replicated the original in-lab findings, demonstrating generalizability to subjects learning the task in their daily living environment (N = 389). Second, we show that offline improvements during rest are equivalent when significantly shortening practice period duration, thus confirming that they are not a result of recovery from performance fatigue (N = 118). Third, retroactive interference immediately after each practice period reduced the learning rate relative to interference after passage of time (N = 373), indicating stabilization of the motor memory at a microscale of several seconds. Finally, we show that random termination of practice periods did not impact offline gains, ruling out a contribution of predictive motor slowing (N = 71). Altogether, these results demonstrate that micro-offline gains indicate rapid, within-seconds consolidation accounting for early skill learning.
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Affiliation(s)
- Marlene Bönstrup
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA
| | - Iñaki Iturrate
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA
| | - Martin N. Hebart
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20814 USA
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, 69978 Tel Aviv, Israel
| | - Leonardo G. Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA
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24
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Conforto AB, Machado AG, Menezes I, Ribeiro NHV, Luccas R, Pires DS, Leite CDC, Plow EB, Cohen LG. Treatment of Upper Limb Paresis With Repetitive Peripheral Nerve Sensory Stimulation and Motor Training: Study Protocol for a Randomized Controlled Trial. Front Neurol 2020; 11:196. [PMID: 32269549 PMCID: PMC7109324 DOI: 10.3389/fneur.2020.00196] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 03/04/2020] [Indexed: 01/02/2023] Open
Abstract
Background: Repetitive peripheral nerve sensory stimulation (RPSS) has emerged as a potential adjuvant strategy to motor training in stroke rehabilitation. The aim of this study is to test the hypothesis that 3 h sessions of active RPSS associated with functional electrical stimulation (FES) and task-specific training (TST) distributed three times a week, over 6 weeks, is more beneficial to improve upper limb motor function than sham RPSS in addition to FES and TST, in subjects with moderate to severe hand motor impairments in the chronic phase (>6 months) after stroke. Methods: In this single-center, randomized, placebo controlled, parallel-group, double-blind study we compare the effects of 18 sessions of active and sham RPSS as add-on interventions to FES and task-specific training of the paretic upper limb, in 40 subjects in the chronic phase after ischemic or hemorrhagic stroke, with Fugl-Meyer upper limb scores ranging from 7 to 50 and able to voluntarily activate any active range of wrist extension. The primary outcome measure is the Wolf Motor Function Test (WMFT) after 6 weeks of treatment. The secondary outcomes are the WMFT at 3, 10, and 18 weeks after beginning of treatment, as well as the following outcomes measured at 3, 6, 10, and 18 weeks: Motor Activity Log; active range of motion of wrist extension and flexion; grasp and pinch strength in the paretic and non-paretic sides (the order of testing is randomized within and across subjects); Modified Ashworth Scale; Fugl-Meyer Assessment-Upper Limb in the paretic arm; Barthel Index; Stroke Impact Scale. Discussion: This project represents a major step in developing a rehabilitation strategy with potential to have impact on the treatment of stroke patients with poor motor recovery in developing countries worldwide. The study preliminarily evaluates a straightforward, non-invasive, inexpensive intervention. If feasibility and preliminary efficacy are demonstrated, further investigations of the proposed intervention (underlying mechanisms/ effects in larger numbers of patients) should be performed. Trial Registration: NCT02658578.
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Affiliation(s)
- Adriana B. Conforto
- Departamento de Neurologia, Hospital das Clínicas, São Paulo University, São Paulo, Brazil
- Hospital Israelita Albert Einstein, Instituto Israelita de Ensino e Pesquisa, São Paulo, Brazil
- Núcleo de Apoio à Pesquisa em Neurociências (Center for Interdisciplinary Research on Applied Neurosciences: NAPNA), São Paulo University, São Paulo, Brazil
| | - André G. Machado
- Departament of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Isabella Menezes
- Departamento de Neurologia, Hospital das Clínicas, São Paulo University, São Paulo, Brazil
| | - Nathalia H. V. Ribeiro
- Departamento de Neurologia, Hospital das Clínicas, São Paulo University, São Paulo, Brazil
| | - Rafael Luccas
- Departamento de Neurologia, Hospital das Clínicas, São Paulo University, São Paulo, Brazil
| | - Danielle S. Pires
- Departamento de Neurologia, Hospital das Clínicas, São Paulo University, São Paulo, Brazil
| | - Claudia da Costa Leite
- Núcleo de Apoio à Pesquisa em Neurociências (Center for Interdisciplinary Research on Applied Neurosciences: NAPNA), São Paulo University, São Paulo, Brazil
- LIM 44, Department of Radiology, Faculdade de Medicina, Hospital das Clínicas/São Paulo University, São Paulo, Brazil
| | - Ela B. Plow
- Departament of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Leonardo G. Cohen
- Human Cortical Physiology and Stroke Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
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25
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Sandrini M, Xu B, Volochayev R, Awosika O, Wang WT, Butman JA, Cohen LG. Transcranial direct current stimulation facilitates response inhibition through dynamic modulation of the fronto-basal ganglia network. Brain Stimul 2020; 13:96-104. [PMID: 31422052 PMCID: PMC6889034 DOI: 10.1016/j.brs.2019.08.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/30/2019] [Accepted: 08/05/2019] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Response inhibition refers to the ability to stop an on-going action quickly when it is no longer appropriate. Previous studies showed that transcranial direct current stimulation (tDCS) applied with the anode over the right inferior frontal cortex (rIFC), a critical node of the fronto-basal ganglia inhibitory network, improved response inhibition. However, the tDCS effects on brain activity and network connectivity underlying this behavioral improvement are not known. OBJECTIVE This study aimed to address the effects of tDCS applied with the anode over the rIFC on brain activity and network functional connectivity underlying the behavioral change in response inhibition. METHODS Thirty participants performed a stop-signal task in a typical laboratory setting as a baseline during the first study visit (i.e., Session 1). In the second visit (at least 24 h after Session 1), all participants underwent resting-state functional magnetic resonance imaging (rsfMRI) scans before and after 1.5 mA tDCS (Anodal or Sham). Immediately following the post-tDCS rsfMRI, participants performed the same stop-signal task as in Session 1 during an event-related fMRI (efMRI) scan in a 3T scanner. Changes in task performance, i.e., the stop-signal response time (SSRT), a measure of response inhibition efficiency, was determined relative to the participants' own baseline performance in Session 1. RESULTS Consistent with previous findings, Anodal tDCS facilitated the SSRT. efMRI results showed that Anodal tDCS strengthened the functional connectivity between right pre-supplementary motor area (rPreSMA) and subthalamic nuclei during Stop responses. rsfMRI revealed changes in intrinsic connectivity between rIFC and caudate, and between rIFC, rPreSMA, right inferior parietal cortex (rIPC), and right dorsolateral prefrontal cortex (rDLPFC) after Anodal tDCS. In addition, corresponding to the regions of rsfMRI connectivity change, the efMRI BOLD signal in the rDLPFC and rIPC during Go responses accounted for 74% of the variance in SSRT after anodal tDCS, indicating an effect of tDCS on the Go-Stop process. CONCLUSION These results indicate that tDCS with the anode over the rIFC facilitates response inhibition by modulating neural activity and functional connectivity in the fronto-basal ganglia as well as rDLPFC and rIPC as an integral part of the response inhibition network.
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Affiliation(s)
- Marco Sandrini
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA; Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA; Department of Psychology, University of Roehampton, London, SW15 4JD, UK
| | - Benjamin Xu
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA; Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA.
| | - Rita Volochayev
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Oluwole Awosika
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Wen-Tung Wang
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
| | - John A Butman
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA; Radiology and Imaging Sciences, National Institutes of Health, Clinical Center, Bethesda, MD, 20892, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
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Abstract
The beta rhythm (15-30 Hz) is a prominent signal of sensorimotor cortical activity. This rhythm is not sustained but occurs non-rhythmically as brief events of a few (1-2) oscillatory cycles. Recent work on the relationship between these events and sensorimotor performance suggests that they are the biologically relevant elements of the beta rhythm. However, the influence of these events on corticospinal excitability, a mechanism through which the primary motor cortex controls motor output, is unknown. Here, we addressed this question by evaluating relationships between beta event characteristics and corticospinal excitability in healthy adults. Results show that the number, amplitude, and timing of beta events preceding transcranial magnetic stimulation (TMS) each significantly predicted motor-evoked potential (MEP) amplitudes. However, beta event characteristics did not explain additional MEP amplitude variance beyond that explained by mean beta power alone, suggesting that conventional beta power measures and beta event characteristics similarly captured natural variation in human corticospinal excitability. Despite this lack of additional explained variance, these results provide first evidence that endogenous beta oscillatory events shape human corticospinal excitability.
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Affiliation(s)
- Sara J Hussain
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Marlene Bönstrup
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
- Department of Neurology, University of Leipzig, Leipzig, 04103, Germany
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27
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Bönstrup M, Krawinkel L, Schulz R, Cheng B, Feldheim J, Thomalla G, Cohen LG, Gerloff C. Low-Frequency Brain Oscillations Track Motor Recovery in Human Stroke. Ann Neurol 2019; 86:853-865. [PMID: 31604371 DOI: 10.1002/ana.25615] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 10/01/2019] [Accepted: 10/01/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The majority of patients with stroke survive the acute episode and live with enduring disability. Effective therapies to support recovery of motor function after stroke are yet to be developed. Key to this development is the identification of neurophysiologic signals that mark recovery and are suitable and susceptible to interventional therapies. Movement preparatory low-frequency oscillations (LFOs) play a key role in cortical control of movement. Recent animal data point to a mechanistic role of motor cortical LFOs in stroke motor deficits and demonstrate neuromodulation intervention with therapeutic benefit. Their relevance in human stroke pathophysiology is unknown. METHODS We studied the relationship between movement-preparatory LFOs during the performance of a visuomotor grip task and motor function in a longitudinal (<5 days, 1 and 3 months) cohort study of 33 patients with motor stroke and in 19 healthy volunteers. RESULTS Acute stroke-lesioned brains fail to generate the LFO signal. Whereas in healthy humans, a transient occurrence of LFOs preceded movement onset at predominantly contralateral frontoparietal motor regions, recordings in patients revealed that movement-preparatory LFOs were substantially diminished to a level of 38% after acute stroke. LFOs progressively increased at 1 and 3 months. This re-emergence closely tracked the recovery of motor function across several movement qualities including grip strength, fine motor skills, and synergies and was frequency band specific. INTERPRETATION Our results provide the first human evidence for a link between movement-preparatory LFOs and functional recovery after stroke, promoting their relevance for movement control. These results suggest that it may be interesting to explore targeted, LFOs-restorative brain stimulation therapy in human stroke patients. ANN NEUROL 2019;86:853-865.
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Affiliation(s)
- Marlene Bönstrup
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lutz Krawinkel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robert Schulz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Feldheim
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Quentin R, Awosika O, Cohen LG. Plasticity and recovery of function. Handb Clin Neurol 2019; 163:473-483. [PMID: 31590747 DOI: 10.1016/b978-0-12-804281-6.00025-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
The frontal lobe plays a crucial role in human motor behavior. It is one of the last areas of the brain to mature, especially the prefrontal regions. After a brief historical perspective on the perceived dichotomy between the view of the brain as a static organ and that of a plastic, constantly changing structure, we discuss the stability/plasticity dilemma including examples of documented cortical reorganization taking place at multiple spatial and temporal scales. We pose that while plasticity is needed for motor learning, stability of the system is necessary for storage and maintenance of memorized skills. We discuss how this plasticity/stability dilemma is resolved along the life span and after a brain injury. We then examine the main challenges that clinicians have to overcome to promote recovery of function in patients with brain lesions, including attempts to use neurostimulation techniques as adjuvant to training-based customary neurorehabilitation.
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Affiliation(s)
- Romain Quentin
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, Bethesda, MD, United States
| | - Oluwole Awosika
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, Bethesda, MD, United States; University of Cincinnati, College of Medicine, Department of Neurology and Rehabilitation Medicine, Cincinnati, OH, United States
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, Bethesda, MD, United States.
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Awosika OO, Sandrini M, Volochayev R, Thompson RM, Fishman N, Wu T, Floeter MK, Hallett M, Cohen LG. Transcutaneous spinal direct current stimulation improves locomotor learning in healthy humans. Brain Stimul 2019; 12:628-634. [PMID: 30733143 PMCID: PMC7326485 DOI: 10.1016/j.brs.2019.01.017] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 10/08/2018] [Accepted: 01/24/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Ambulation is an essential aspect of daily living and is often impaired after brain and spinal cord injuries. Despite the implementation of standard neurorehabilitative care, locomotor recovery is often incomplete. OBJECTIVE In this randomized, sham-controlled, double-blind, parallel design study, we aimed to determine if anodal transcutaneous spinal direct current stimulation (anodal tsDCS) could improve training effects on locomotion compared to sham (sham tsDCS) in healthy subjects. METHODS 43 participants underwent a single backwards locomotion training (BLT) session on a reverse treadmill with concurrent anodal (n = 22) or sham (n = 21) tsDCS. The primary outcome measure was speed gain measured 24 h post-training. We hypothesized that anodal tsDCS + BLT would improve training effects on backward locomotor speed compared to sham tsDCS + BLT. A subset of participants (n = 31) returned for two additional training days of either anodal (n = 16) or sham (n = 15) tsDCS and underwent (n = 29) H-reflex testing immediately before, immediately after, and 30 min post-training over three consecutive days. RESULTS A single session of anodal tsDCS + BLT elicited greater speed gain at 24 h relative to sham tsDCS + BLT (p = 0.008, two-sample t-test, adjusted for one interim analysis after the initial 12 subjects). Anodal tsDCS + BLT resulted in higher retention of the acquired skill at day 30 relative to sham tsDCS + BLT (p = 0.002) in the absence of significant group differences in online or offline learning over the three training days (p = 0.467 and p = 0.131). BLT resulted in transient down-regulation of H-reflex amplitude (Hmax/Mmax) in both test groups (p < 0.0001). However, the concurrent application of anodal-tsDCS with BLT elicited a longer lasting effect than sham-tsDCS + BLT (p = 0.050). CONCLUSION tsDCS improved locomotor skill acquisition and retention in healthy subjects and prolonged the physiological exercise-mediated downregulation of excitability of the alpha motoneuron pool. These results suggest that this strategy is worth exploring in neurorehabilitation of locomotor function.
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Affiliation(s)
- Oluwole O Awosika
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, USA; Department of Neurology and Rehabilitation Medicine, University of Cincinnati, USA.
| | - Marco Sandrini
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, USA; Department of Psychology, University of Roehampton, London, UK
| | - Rita Volochayev
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, USA
| | - Ryan M Thompson
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, USA
| | - Nathan Fishman
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, USA
| | | | | | | | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, USA
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30
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Affiliation(s)
- Romain Quentin
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, Maryland, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, Maryland, USA.
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31
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Ramos-Murguialday A, Curado MR, Broetz D, Yilmaz Ö, Brasil FL, Liberati G, Garcia-Cossio E, Cho W, Caria A, Cohen LG, Birbaumer N. Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up. Neurorehabil Neural Repair 2019; 33:188-198. [PMID: 30722727 DOI: 10.1177/1545968319827573] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Brain-machine interfaces (BMIs) have been recently proposed as a new tool to induce functional recovery in stroke patients. OBJECTIVE Here we evaluated long-term effects of BMI training and physiotherapy in motor function of severely paralyzed chronic stroke patients 6 months after intervention. METHODS A total of 30 chronic stroke patients with severe hand paresis from our previous study were invited, and 28 underwent follow-up assessments. BMI training included voluntary desynchronization of ipsilesional EEG-sensorimotor rhythms triggering paretic upper-limb movements via robotic orthoses (experimental group, n = 16) or random orthoses movements (sham group, n = 12). Both groups received identical physiotherapy following BMI sessions and a home-based training program after intervention. Upper-limb motor assessment scores, electromyography (EMG), and functional magnetic resonance imaging (fMRI) were assessed before (Pre), immediately after (Post1), and 6 months after intervention (Post2). RESULTS The experimental group presented with upper-limb Fugl-Meyer assessment (cFMA) scores significantly higher in Post2 (13.44 ± 1.96) as compared with the Pre session (11.16 ± 1.73; P = .015) and no significant changes between Post1 and Post2 sessions. The Sham group showed no significant changes on cFMA scores. Ashworth scores and EMG activity in both groups increased from Post1 to Post2. Moreover, fMRI-BOLD laterality index showed no significant difference from Pre or Post1 to Post2 sessions. CONCLUSIONS BMI-based rehabilitation promotes long-lasting improvements in motor function of chronic stroke patients with severe paresis and represents a promising strategy in severe stroke neurorehabilitation.
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Affiliation(s)
- Ander Ramos-Murguialday
- 1 University of Tubingen, Tübingen, Germany.,2 TECNALIA Health Technologies, Neurotechnology Laboratory, San Sebastian, Spain
| | - Marco R Curado
- 1 University of Tubingen, Tübingen, Germany.,3 AbbVie Pharmaceuticals, Ludwigshafen, Germany
| | | | - Özge Yilmaz
- 1 University of Tubingen, Tübingen, Germany.,4 Bahcesehir University, Istanbul, Turkey
| | - Fabricio L Brasil
- 1 University of Tubingen, Tübingen, Germany.,5 Santos Dumont Institute, Macaiba, Brazil
| | - Giulia Liberati
- 1 University of Tubingen, Tübingen, Germany.,6 Université catholique de Louvain, Brussels, Belgium
| | - Eliana Garcia-Cossio
- 1 University of Tubingen, Tübingen, Germany.,7 NeuroCare Group, Mental Health Care, Munich, Germany
| | - Woosang Cho
- 1 University of Tubingen, Tübingen, Germany.,8 g.tec Medical Engineering GmbH, Schiedlberg, Austria
| | | | | | - Niels Birbaumer
- 1 University of Tubingen, Tübingen, Germany.,10 WYSS-Center of Bio- and Neuroengineering, Geneva, Switzerland
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32
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Conforto AB, Luccas R, Menezes IS, Machado AG, Mello EA, Assis PS, Freitas PF, Pires DS, Peckham PH, Cohen LG. Abstract 120: Peripheral Nerve Stimulation to Enhance Upper Limb Motor Function in Stroke. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.120] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Peripheral sensory stimulation (PSS) administered for 2 hours prior to intensive task-oriented motor training delivered for 4 hours, over 10 days, leads to clinically significant benefits in subjects with stroke and moderate to severe upper limb motor impairment, compared to sham PSS. Whether similar results can be obtained with less intensive training programs remains to be determined.
Methods:
Twenty subjects with stroke in the chronic phase (>6m) and moderate to severe upper limb motor impairments were randomized to treatment with either 1.5h active PSS or sham, followed by functional electrical stimulation (FES) and task-specific training (TST) in sessions administered three times per week over six weeks. FES lasted for 30 minutes and TST, for 45 minutes. The primary outcome was the difference in performance in the Wolf Motor Function Test. The data were analyzed with a generalized estimating equations model with factors “group” (active or sham) and “time” (baseline, three and six weeks after starting treatment).
Results:
There were significant effects of “time” (Wald Chi-square = 16.5, p<0.001) and interaction between “group” and “time” (Wald Chi-square = 10.4, p=0.005) for the Wolf Motor Function Test, Functional Ability Scale. Post-hoc Bonferroni-corrected analyses showed a statistically significant improvement in performance between baseline and three weeks after beginning of treatment in the active (p=0.001) but not in the sham group (p=0.912). The difference between performance at baseline and six weeks after beginning of treatment almost reached statistically significance in the active (p=0.058) but not in the sham (p>0.999) group.
Conclusions:
These results are relevant for the design of larger clinical trials involving durations of interventions that are more easily implemented in clinical practice than rehabilitation protocols lasting for 6 hours per day. The study is ongoing.
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33
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Gabitov E, Boutin A, Pinsard B, Censor N, Fogel SM, Albouy G, King BR, Carrier J, Cohen LG, Karni A, Doyon J. Susceptibility of consolidated procedural memory to interference is independent of its active task-based retrieval. PLoS One 2019; 14:e0210876. [PMID: 30653576 PMCID: PMC6336251 DOI: 10.1371/journal.pone.0210876] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 01/03/2019] [Indexed: 11/18/2022] Open
Abstract
Reconsolidation theory posits that upon retrieval, consolidated memories are destabilized and need to be restabilized in order to persist. It has been suggested that experience with a competitive task immediately after memory retrieval may interrupt these restabilization processes leading to memory loss. Indeed, using a motor sequence learning paradigm, we have recently shown that, in humans, interference training immediately after active task-based retrieval of the consolidated motor sequence knowledge may negatively affect its performance levels. Assessing changes in tapping pattern before and after interference training, we also demonstrated that this performance deficit more likely indicates a genuine memory loss rather than an initial failure of memory retrieval. Here, applying a similar approach, we tested the necessity of the hypothetical retrieval-induced destabilization of motor memory to allow its impairment. The impact of memory retrieval on performance of a new motor sequence knowledge acquired during the interference training was also evaluated. Similar to the immediate post-retrieval interference, interference training alone without the preceding active task-based memory retrieval was also associated with impairment of the pre-established motor sequence memory. Performance levels of the sequence trained during the interference training, on the other hand, were impaired only if this training was given immediately after memory retrieval. Noteworthy, an 8-hour interval between memory retrieval and interference allowed to express intact performance levels for both sequences. The current results suggest that susceptibility of the consolidated motor memory to behavioral interference is independent of its active task-based retrieval. Differential effects of memory retrieval on performance levels of the new motor sequence encoded during the interference training further suggests that memory retrieval may influence the way new information is stored by facilitating its integration within the retrieved memory trace. Thus, impairment of the pre-established motor memory may reflect interference from a competing memory trace rather than involve interruption of reconsolidation.
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Affiliation(s)
- Ella Gabitov
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
- * E-mail: (EG); (JD)
| | - Arnaud Boutin
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Basile Pinsard
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
- Sorbonne Université, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, LIB, Paris, France
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Stuart M. Fogel
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Geneviève Albouy
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Bradley R. King
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Julie Carrier
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- Research Center of Sacré-Cœur Hospital of Montreal, Montreal, Quebec, Canada
| | - Leonardo G. Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Avi Karni
- Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, Israel
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
- * E-mail: (EG); (JD)
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34
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Conforto AB, Dos Anjos SM, Bernardo WM, Silva AAD, Conti J, Machado AG, Cohen LG. Repetitive Peripheral Sensory Stimulation and Upper Limb Performance in Stroke: A Systematic Review and Meta-analysis. Neurorehabil Neural Repair 2018; 32:863-871. [PMID: 30198383 DOI: 10.1177/1545968318798943] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Enhancement of sensory input in the form of repetitive peripheral sensory stimulation (RPSS) can enhance excitability of the motor cortex and upper limb performance. OBJECTIVE To perform a systematic review and meta-analysis of effects of RPSS compared with control stimulation on improvement of motor outcomes in the upper limb of subjects with stroke. METHODS We searched studies published between 1948 and December 2017 and selected 5 studies that provided individual data and applied a specific paradigm of stimulation (trains of 1-ms pulses at 10 Hz, delivered at 1 Hz). Continuous data were analyzed with means and standard deviations of differences in performance before and after active or control interventions. Adverse events were also assessed. RESULTS There was a statistically significant beneficial effect of RPSS on motor performance (standard mean difference between active and control RPSS, 0.67; 95% CI, 0.09-1.24; I2 = 65%). Only 1 study included subjects in the subacute phase after stroke. Subgroup analysis of studies that only included subjects in the chronic phase showed a significant effect (1.04; 95% CI, 0.66-1.42) with no heterogeneity. Significant results were obtained for outcomes of body structure and function as well as for outcomes of activity limitation according to the International Classification of Function, Disability and Health, when only studies that included subjects in the chronic phase were analyzed. No serious adverse events were reported. CONCLUSIONS RPSS is a safe intervention with potential to become an adjuvant tool for upper extremity paresis rehabilitation in subjects with stroke in the chronic phase.
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Affiliation(s)
- Adriana Bastos Conforto
- 1 Hospital das Clínicas São Paulo University, São Paulo, Brazil.,2 Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | | | | | - Juliana Conti
- 1 Hospital das Clínicas São Paulo University, São Paulo, Brazil
| | - André G Machado
- 5 Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Leonardo G Cohen
- 6 National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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35
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Dayan E, López-Alonso V, Liew SL, Cohen LG. Distributed cortical structural properties contribute to motor cortical excitability and inhibition. Brain Struct Funct 2018; 223:3801-3812. [DOI: 10.1007/s00429-018-1722-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 07/20/2018] [Indexed: 01/03/2023]
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36
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Boyd LA, Hayward KS, Ward NS, Stinear CM, Rosso C, Fisher RJ, Carter AR, Leff AP, Copland DA, Carey LM, Cohen LG, Basso DM, Maguire JM, Cramer SC. Biomarkers of Stroke Recovery: Consensus-Based Core Recommendations from the Stroke Recovery and Rehabilitation Roundtable. Neurorehabil Neural Repair 2018; 31:864-876. [PMID: 29233071 DOI: 10.1177/1545968317732680] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The most difficult clinical questions in stroke rehabilitation are "What is this patient's potential for recovery?" and "What is the best rehabilitation strategy for this person, given her/his clinical profile?" Without answers to these questions, clinicians struggle to make decisions regarding the content and focus of therapy, and researchers design studies that inadvertently mix participants who have a high likelihood of responding with those who do not. Developing and implementing biomarkers that distinguish patient subgroups will help address these issues and unravel the factors important to the recovery process. The goal of the present paper is to provide a consensus statement regarding the current state of the evidence for stroke recovery biomarkers. Biomarkers of motor, somatosensory, cognitive and language domains across the recovery timeline post-stroke are considered; with focus on brain structure and function, and exclusion of blood markers and genetics. We provide evidence for biomarkers that are considered ready to be included in clinical trials, as well as others that are promising but not ready and so represent a developmental priority. We conclude with an example that illustrates the utility of biomarkers in recovery and rehabilitation research, demonstrating how the inclusion of a biomarker may enhance future clinical trials. In this way, we propose a way forward for when and where we can include biomarkers to advance the efficacy of the practice of, and research into, rehabilitation and recovery after stroke.
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Affiliation(s)
- Lara A Boyd
- 1 Department of Physical Therapy & the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Kathryn S Hayward
- 2 Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Nick S Ward
- 3 Sobell Department of Motor Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Cathy M Stinear
- 4 Department of Medicine and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Charlotte Rosso
- 5 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, France; AP-HP, Stroke Unit, Pitié-Salpêtrière Hospital, France
| | - Rebecca J Fisher
- 6 Division of Rehabilitation & Ageing, University of Nottingham, Nottingham, UK
| | - Alexandre R Carter
- 7 Department of Neurology, Washington University in Saint Louis, St Louis, MO, USA
| | - Alex P Leff
- 8 Department of Brain Repair and Rehabilitation, Institute of Neurology & Institute of Cognitive Neuroscience, University College London, Queens Square, London, UK
| | - David A Copland
- 9 School of Health & Rehabilitation Sciences, University of Queensland, Brisbane, Australia; and University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Leeanne M Carey
- 10 School of Allied Health, College of Science, Health and Engineering, La Trobe, University, Bundoora, Australia; and Neurorehabilitation and Recovery, Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Leonardo G Cohen
- 11 Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - D Michele Basso
- 12 School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA
| | - Jane M Maguire
- 13 Faculty of Health, University of Technology Sydney, Ultimo, Sydney, Australia
| | - Steven C Cramer
- 14 University of California, Irvine, CA, USA; Depts. Neurology, Anatomy & Neurobiology, and Physical Medicine & Rehabilitation, Irvine, CA, USA
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37
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Bikson M, Brunoni AR, Charvet LE, Clark VP, Cohen LG, Deng ZD, Dmochowski J, Edwards DJ, Frohlich F, Kappenman ES, Lim KO, Loo C, Mantovani A, McMullen DP, Parra LC, Pearson M, Richardson JD, Rumsey JM, Sehatpour P, Sommers D, Unal G, Wassermann EM, Woods AJ, Lisanby SH. Rigor and reproducibility in research with transcranial electrical stimulation: An NIMH-sponsored workshop. Brain Stimul 2018; 11:465-480. [PMID: 29398575 PMCID: PMC5997279 DOI: 10.1016/j.brs.2017.12.008] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 12/01/2017] [Accepted: 12/21/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Neuropsychiatric disorders are a leading source of disability and require novel treatments that target mechanisms of disease. As such disorders are thought to result from aberrant neuronal circuit activity, neuromodulation approaches are of increasing interest given their potential for manipulating circuits directly. Low intensity transcranial electrical stimulation (tES) with direct currents (transcranial direct current stimulation, tDCS) or alternating currents (transcranial alternating current stimulation, tACS) represent novel, safe, well-tolerated, and relatively inexpensive putative treatment modalities. OBJECTIVE This report seeks to promote the science, technology and effective clinical applications of these modalities, identify research challenges, and suggest approaches for addressing these needs in order to achieve rigorous, reproducible findings that can advance clinical treatment. METHODS The National Institute of Mental Health (NIMH) convened a workshop in September 2016 that brought together experts in basic and human neuroscience, electrical stimulation biophysics and devices, and clinical trial methods to examine the physiological mechanisms underlying tDCS/tACS, technologies and technical strategies for optimizing stimulation protocols, and the state of the science with respect to therapeutic applications and trial designs. RESULTS Advances in understanding mechanisms, methodological and technological improvements (e.g., electronics, computational models to facilitate proper dosing), and improved clinical trial designs are poised to advance rigorous, reproducible therapeutic applications of these techniques. A number of challenges were identified and meeting participants made recommendations made to address them. CONCLUSIONS These recommendations align with requirements in NIMH funding opportunity announcements to, among other needs, define dosimetry, demonstrate dose/response relationships, implement rigorous blinded trial designs, employ computational modeling, and demonstrate target engagement when testing stimulation-based interventions for the treatment of mental disorders.
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Affiliation(s)
- Marom Bikson
- Department of Biomedical Engineering, The City College of the City University of New York, United States
| | - Andre R Brunoni
- Laboratory of Neurosciences (LIM-27), Department and Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - Leigh E Charvet
- Department of Neurology, New York University School of Medicine, New York, NY, United States
| | - Vincent P Clark
- Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States
| | - Zhi-De Deng
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, United States
| | - Jacek Dmochowski
- Department of Biomedical Engineering, The City College of the City University of New York, United States
| | - Dylan J Edwards
- Non-invasive Brain Stimulation and Human Motor Control Laboratory, Burke Rehabilitation and Research, Burke-Cornell Medical Research Facility, White Plains, New York and School of Medicine and Health Sciences, Edith Cowan University, Perth, Australia
| | - Flavio Frohlich
- Department of Psychiatry, Cell Biology and Physiology, Biomedical Engineering, and Neurology, Carolina Center for Neurostimulation, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Emily S Kappenman
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Kelvin O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis Veterans Administration Health Care System, and Defense Veterans Brain Injury Center, Minneapolis, MN, United States
| | - Colleen Loo
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Antonio Mantovani
- Department of Physiology, Pharmacology and Neuroscience, City College of the City University of New York, New York, NY, United States
| | - David P McMullen
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, United States
| | - Lucas C Parra
- Department of Biomedical Engineering, The City College of the City University of New York, United States
| | - Michele Pearson
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, United States
| | - Jessica D Richardson
- Department of Speech and Hearing Sciences, University of New Mexico, Albuquerque, NM, United States
| | - Judith M Rumsey
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, United States.
| | - Pejman Sehatpour
- Department of Psychiatry, Columbia University, New York, NY, United States
| | - David Sommers
- Scientific Review Branch, National Institute of Mental Health, Bethesda, MD, United States
| | - Gozde Unal
- Department of Biomedical Engineering, The City College of the City University of New York, United States
| | - Eric M Wassermann
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States
| | - Adam J Woods
- Department of Clinical and Health Psychology, Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
| | - Sarah H Lisanby
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, United States
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38
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Lopez-Alonso V, Liew SL, Fernández Del Olmo M, Cheeran B, Sandrini M, Abe M, Cohen LG. A Preliminary Comparison of Motor Learning Across Different Non-invasive Brain Stimulation Paradigms Shows No Consistent Modulations. Front Neurosci 2018; 12:253. [PMID: 29740271 PMCID: PMC5924807 DOI: 10.3389/fnins.2018.00253] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [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: 12/07/2017] [Accepted: 04/03/2018] [Indexed: 12/13/2022] Open
Abstract
Non-invasive brain stimulation (NIBS) has been widely explored as a way to safely modulate brain activity and alter human performance for nearly three decades. Research using NIBS has grown exponentially within the last decade with promising results across a variety of clinical and healthy populations. However, recent work has shown high inter-individual variability and a lack of reproducibility of previous results. Here, we conducted a small preliminary study to explore the effects of three of the most commonly used excitatory NIBS paradigms over the primary motor cortex (M1) on motor learning (Sequential Visuomotor Isometric Pinch Force Tracking Task) and secondarily relate changes in motor learning to changes in cortical excitability (MEP amplitude and SICI). We compared anodal transcranial direct current stimulation (tDCS), paired associative stimulation (PAS25), and intermittent theta burst stimulation (iTBS), along with a sham tDCS control condition. Stimulation was applied prior to motor learning. Participants (n = 28) were randomized into one of the four groups and were trained on a skilled motor task. Motor learning was measured immediately after training (online), 1 day after training (consolidation), and 1 week after training (retention). We did not find consistent differential effects on motor learning or cortical excitability across groups. Within the boundaries of our small sample sizes, we then assessed effect sizes across the NIBS groups that could help power future studies. These results, which require replication with larger samples, are consistent with previous reports of small and variable effect sizes of these interventions on motor learning.
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Affiliation(s)
- Virginia Lopez-Alonso
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, MD, United States.,Department of Physical Activity and Sport Sciences, "Center of Higher Education Alberta Giménez (CESAG)" Comillas Pontifical University, Palma, Spain.,Department of Physical Education, Faculty of Sciences of Sport and Physical Education, University of A Coruña, A Coruña, Spain
| | - Sook-Lei Liew
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, MD, United States.,Departments of Occupational Therapy, Biokinesiology, and Neurology, Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
| | - Miguel Fernández Del Olmo
- Department of Physical Education, Faculty of Sciences of Sport and Physical Education, University of A Coruña, A Coruña, Spain
| | - Binith Cheeran
- Molecular and Clinical Sciences Institute, St. George's, University of London, London, United Kingdom.,The London Clinic, London, United Kingdom
| | - Marco Sandrini
- Department of Psychology, University of Roehampton, London, United Kingdom
| | - Mitsunari Abe
- Faculty of Medicine, Center for Neurological Disorders, Fukushima Medical University, Fukushima, Japan
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, MD, United States
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39
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Hamoudi M, Schambra HM, Fritsch B, Schoechlin-Marx A, Weiller C, Cohen LG, Reis J. Transcranial Direct Current Stimulation Enhances Motor Skill Learning but Not Generalization in Chronic Stroke. Neurorehabil Neural Repair 2018; 32:295-308. [PMID: 29683030 DOI: 10.1177/1545968318769164] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Motor training alone or combined with transcranial direct current stimulation (tDCS) positioned over the motor cortex (M1) improves motor function in chronic stroke. Currently, understanding of how tDCS influences the process of motor skill learning after stroke is lacking. OBJECTIVE To assess the effects of tDCS on the stages of motor skill learning and on generalization to untrained motor function. METHODS In this randomized, sham-controlled, blinded study of 56 mildly impaired chronic stroke patients, tDCS (anode over the ipsilesional M1 and cathode on the contralesional forehead) was applied during 5 days of training on an unfamiliar, challenging fine motor skill task (sequential visual isometric pinch force task). We assessed online and offline learning during the training period and retention over the following 4 months. We additionally assessed the generalization to untrained tasks. RESULTS With training alone (sham tDCS group), patients acquired a novel motor skill. This skill improved online, remained stable during the offline periods and was largely retained at follow-up. When tDCS was added to training (real tDCS group), motor skill significantly increased relative to sham, mostly in the online stage. Long-term retention was not affected by tDCS. Training effects generalized to untrained tasks, but those performance gains were not enhanced further by tDCS. CONCLUSIONS Training of an unfamiliar skill task represents a strategy to improve fine motor function in chronic stroke. tDCS augments motor skill learning, but its additive effect is restricted to the trained skill.
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Affiliation(s)
| | - Heidi M Schambra
- 2 New York University, NY, USA.,3 National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | | | | | | | - Leonardo G Cohen
- 3 National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Janine Reis
- 1 University Hospital Freiburg, Freiburg, Germany.,3 National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
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40
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Boyd LA, Hayward KS, Ward NS, Stinear CM, Rosso C, Fisher RJ, Carter AR, Leff AP, Copland DA, Carey LM, Cohen LG, Basso DM, Maguire JM, Cramer SC. Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable. Int J Stroke 2018; 12:480-493. [PMID: 28697711 DOI: 10.1177/1747493017714176] [Citation(s) in RCA: 219] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The most difficult clinical questions in stroke rehabilitation are "What is this patient's potential for recovery?" and "What is the best rehabilitation strategy for this person, given her/his clinical profile?" Without answers to these questions, clinicians struggle to make decisions regarding the content and focus of therapy, and researchers design studies that inadvertently mix participants who have a high likelihood of responding with those who do not. Developing and implementing biomarkers that distinguish patient subgroups will help address these issues and unravel the factors important to the recovery process. The goal of the present paper is to provide a consensus statement regarding the current state of the evidence for stroke recovery biomarkers. Biomarkers of motor, somatosensory, cognitive and language domains across the recovery timeline post-stroke are considered; with focus on brain structure and function, and exclusion of blood markers and genetics. We provide evidence for biomarkers that are considered ready to be included in clinical trials, as well as others that are promising but not ready and so represent a developmental priority. We conclude with an example that illustrates the utility of biomarkers in recovery and rehabilitation research, demonstrating how the inclusion of a biomarker may enhance future clinical trials. In this way, we propose a way forward for when and where we can include biomarkers to advance the efficacy of the practice of, and research into, rehabilitation and recovery after stroke.
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Affiliation(s)
- Lara A Boyd
- 1 Department of Physical Therapy & the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Kathryn S Hayward
- 2 Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Nick S Ward
- 3 Sobell Department of Motor Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Cathy M Stinear
- 4 Department of Medicine and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Charlotte Rosso
- 5 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,6 AP-HP, Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rebecca J Fisher
- 7 Division of Rehabilitation & Ageing, University of Nottingham, Nottingham, UK
| | - Alexandre R Carter
- 8 Department of Neurology, Washington University in Saint Louis, St Louis, MO, USA
| | - Alex P Leff
- 9 Department of Brain Repair and Rehabilitation, Institute of Neurology & Institute of Cognitive Neuroscience, University College London, Queens Square, London, UK
| | - David A Copland
- 10 School of Health & Rehabilitation Sciences, University of Queensland, Brisbane, Australia; and University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Leeanne M Carey
- 11 School of Allied Health, College of Science, Health and Engineering, La Trobe, University, Bundoora, Australia; and Neurorehabilitation and Recovery, Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Leonardo G Cohen
- 12 Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - D Michele Basso
- 13 School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA
| | - Jane M Maguire
- 14 Faculty of Health, University of Technology, Ultimo, Sydney, Australia
| | - Steven C Cramer
- 15 University of California, Irvine, CA, USA; Depts. Neurology, Anatomy & Neurobiology, and Physical Medicine & Rehabilitation, Irvine, CA, USA
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41
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Conforto AB, Anjos S, Silva A, Conti J, Machado AG, Cohen LG. Abstract TP153: Repetitive Peripheral Sensory Stimulation in Stroke: a Systematic Review and Meta-Analysis. Stroke 2018. [DOI: 10.1161/str.49.suppl_1.tp153] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Enhancement of sensory input in the form of repetitive peripheral sensory stimulation (RPSS) can enhance excitability of the motor cortex and upper limb performance.
Objective:
To perform a systematic review and meta-analysis of effects of RPSS compared to control stimulation on improvement of motor impairments in the upper limb of subjects with stroke.
Methods:
We searched studies published between 1948 until July, 2016 and selected eight studies that applied a specific paradigm of stimulation (trains of 1 millisecond pulses at 10Hz delivered at 1 Hz). Continuous data were analyzed with pooled means of standard deviations of results of active versus control interventions with the Cohen and Hedges formulas. Adverse events were also assessed.
Results:
There was significant heterogeneity when data from all eight studies that included subjects at early (n=3) or chronic (n=5) stages after stroke were included, but not when only data from studies in the chronic phase were analyzed. There was a statistically significant beneficial effect of RPSS on motor performance in subjects in the chronic phase with an overall small effect size (standard mean difference between active and control RPSS, 0.45; 95% confidence interval, 0.07, 0.84). When data from the three studies that included subjects at an early stage after stroke were added, the effect was no longer statistically significant. No serious adverse events were reported.
Conclusions:
RPSS is a safe intervention with potential to become an adjuvant tool for upper extremity paresis rehabilitation in subjects with stroke in the chronic phase.
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Affiliation(s)
- Adriana B Conforto
- Hosp das Clinicas/Sao Paulo U. and Hosp Israelita Albert Einstein, Sao Paulo, Brazil
| | - Sarah Anjos
- Univ of Alabama at Birmingham, Birmingham, AL
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42
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Guggisberg AG, Nicolo P, Cohen LG, Schnider A, Buch ER. Longitudinal Structural and Functional Differences Between Proportional and Poor Motor Recovery After Stroke. Neurorehabil Neural Repair 2017; 31:1029-1041. [PMID: 29130824 DOI: 10.1177/1545968317740634] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Evolution of motor function during the first months after stroke is stereotypically bifurcated, consisting of either recovery to about 70% of maximum possible improvement ("proportional recovery, PROP") or in little to no improvement ("poor recovery, POOR"). There is currently no evidence that any rehabilitation treatment will prevent POOR and favor PROP. OBJECTIVE To perform a longitudinal and multimodal assessment of functional and structural changes in brain organization associated with PROP. METHODS Fugl-Meyer Assessments of the upper extremity and high-density electroencephalography (EEG) were obtained from 63 patients, diffusion tensor imaging from 46 patients, at 2 and 4 weeks (T0) and at 3 months (T1) after stroke onset. RESULTS We confirmed the presence of 2 distinct recovery patterns (PROP and POOR) in our sample. At T0, PROP patients had greater integrity of the corticospinal tract (CST) and greater EEG functional connectivity (FC) between the affected hemisphere and rest of the brain, in particular between the ventral premotor and the primary motor cortex. POOR patients suffered from degradation of corticocortical and corticofugal fiber tracts in the affected hemisphere between T0 and T1, which was not observed in PROP patients. Better initial CST integrity correlated with greater initial global FC, which was in turn associated with less white matter degradation between T0 and T1. CONCLUSIONS These findings suggest links between initial CST integrity, systems-level cortical network plasticity, reduction of white matter atrophy, and clinical motor recovery after stroke. This identifies candidate treatment targets.
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Affiliation(s)
- Adrian G Guggisberg
- 1 Geneva University Hospital, Geneva, Switzerland.,2 University of Geneva, Geneva, Switzerland
| | - Pierre Nicolo
- 1 Geneva University Hospital, Geneva, Switzerland.,2 University of Geneva, Geneva, Switzerland
| | - Leonardo G Cohen
- 3 National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Armin Schnider
- 1 Geneva University Hospital, Geneva, Switzerland.,2 University of Geneva, Geneva, Switzerland
| | - Ethan R Buch
- 3 National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Xu B, Sandrini M, Levy S, Volochayev R, Awosika O, Butman JA, Pham DL, Cohen LG. Lasting deficit in inhibitory control with mild traumatic brain injury. Sci Rep 2017; 7:14902. [PMID: 29097755 PMCID: PMC5668274 DOI: 10.1038/s41598-017-14867-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [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: 06/08/2017] [Accepted: 10/05/2017] [Indexed: 01/05/2023] Open
Abstract
Being able to focus on a complex task and inhibit unwanted actions or interfering information (i.e., inhibitory control) are essential human cognitive abilities. However, it remains unknown the extent to which mild traumatic brain injury (mTBI) may impact these critical functions. In this study, seventeen patients and age-matched healthy controls (HC) performed a variant of the Stroop task and attention-demanding 4-choice response tasks (4CRT) with identical stimuli but two contexts: one required only routine responses and the other with occasional response conflicts. The results showed that mTBI patients performed equally well as the HC when the 4CRT required only routine responses. However, when the task conditions included occasional response conflicts, mTBI patients with even a single concussion showed a significant slow-down in all responses and higher error rates relative to the HC. Results from event-related functional magnetic resonance imaging (efMRI) revealed altered neural activity in the mTBI patients in the cerebellum-thalamo-cortical and the fronto-basal-ganglia networks regulating inhibitory control. These results suggest that even without apparent difficulties in performing complex attention-demanding but routine tasks, patients with mTBI may experience long-lasting deficits in regulating inhibitory control when situations call for rapid conflict resolutions.
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Affiliation(s)
- Benjamin Xu
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA. .,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA.
| | - Marco Sandrini
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
| | - Sarah Levy
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
| | - Rita Volochayev
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Oluwole Awosika
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - John A Butman
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA.,Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Dzung L Pham
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
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Menezes IS, Cohen LG, Mello EA, Machado AG, Peckham PH, Anjos SM, Siqueira IL, Conti J, Plow EB, Conforto AB. Combined Brain and Peripheral Nerve Stimulation in Chronic Stroke Patients With Moderate to Severe Motor Impairment. Neuromodulation 2017; 21:176-183. [PMID: 29067749 DOI: 10.1111/ner.12717] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2017] [Revised: 08/18/2017] [Accepted: 09/19/2017] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To evaluate effects of somatosensory stimulation in the form of repetitive peripheral nerve sensory stimulation (RPSS) in combination with transcranial direct current stimulation (tDCS), tDCS alone, RPSS alone, or sham RPSS + tDCS as add-on interventions to training of wrist extension with functional electrical stimulation (FES), in chronic stroke patients with moderate to severe upper limb impairments in a crossover design. We hypothesized that the combination of RPSS and tDCS would enhance the effects of FES on active range of movement (ROM) of the paretic wrist to a greater extent than RPSS alone, tDCS alone or sham RPSS + tDCS. MATERIALS AND METHODS The primary outcome was the active ROM of extension of the paretic wrist. Secondary outcomes were ROM of wrist flexion, grasp, and pinch strength of the paretic and nonparetic upper limbs, and ROM of wrist extension of the nonparetic wrist. Outcomes were blindly evaluated before and after each intervention. Analysis of variance with repeated measures with factors "session" and "time" was performed. RESULTS After screening 2499 subjects, 22 were included. Data from 20 subjects were analyzed. There were significant effects of "time" for grasp force of the paretic limb and for ROM of wrist extension of the nonparetic limb, but no effects of "session" or interaction "session x time." There were no significant effects of "session," "time," or interaction "session x time" regarding other outcomes. CONCLUSIONS Single sessions of PSS + tDCS, tDCS alone, or RPSS alone did not improve training effects in chronic stroke patients with moderate to severe impairment.
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Affiliation(s)
| | - Leonardo G Cohen
- Human Cortical Physiology and Stroke Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Eduardo A Mello
- Hospital das Clinicas/São Paulo University, São Paulo, Brazil
| | - André G Machado
- Departament of Neurosciences, Lerner Reasearch Institute, Cleveland Clinic, Cleveland, OH, USA.,Case Western Reserve University, Cleveland, OH, USA
| | | | - Sarah M Anjos
- Hospital das Clinicas/São Paulo University, São Paulo, Brazil.,Departments of Physical Therapy and Occupational Therapy; School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Juliana Conti
- Hospital das Clinicas/São Paulo University, São Paulo, Brazil
| | - Ela B Plow
- Departament of Neurosciences, Lerner Reasearch Institute, Cleveland Clinic, Cleveland, OH, USA.,Case Western Reserve University, Cleveland, OH, USA
| | - Adriana B Conforto
- Hospital das Clinicas/São Paulo University, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, Brazil
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Song S, Bokkers RPH, Luby M, Edwardson MA, Brown T, Shah S, Cox RW, Saad ZS, Reynolds RC, Glen DR, Cohen LG, Latour LL. Temporal similarity perfusion mapping: A standardized and model-free method for detecting perfusion deficits in stroke. PLoS One 2017; 12:e0185552. [PMID: 28973000 PMCID: PMC5626465 DOI: 10.1371/journal.pone.0185552] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 09/14/2017] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Interpretation of the extent of perfusion deficits in stroke MRI is highly dependent on the method used for analyzing the perfusion-weighted signal intensity time-series after gadolinium injection. In this study, we introduce a new model-free standardized method of temporal similarity perfusion (TSP) mapping for perfusion deficit detection and test its ability and reliability in acute ischemia. MATERIALS AND METHODS Forty patients with an ischemic stroke or transient ischemic attack were included. Two blinded readers compared real-time generated interactive maps and automatically generated TSP maps to traditional TTP/MTT maps for presence of perfusion deficits. Lesion volumes were compared for volumetric inter-rater reliability, spatial concordance between perfusion deficits and healthy tissue and contrast-to-noise ratio (CNR). RESULTS Perfusion deficits were correctly detected in all patients with acute ischemia. Inter-rater reliability was higher for TSP when compared to TTP/MTT maps and there was a high similarity between the lesion volumes depicted on TSP and TTP/MTT (r(18) = 0.73). The Pearson's correlation between lesions calculated on TSP and traditional maps was high (r(18) = 0.73, p<0.0003), however the effective CNR was greater for TSP compared to TTP (352.3 vs 283.5, t(19) = 2.6, p<0.03.) and MTT (228.3, t(19) = 2.8, p<0.03). DISCUSSION TSP maps provide a reliable and robust model-free method for accurate perfusion deficit detection and improve lesion delineation compared to traditional methods. This simple method is also computationally faster and more easily automated than model-based methods. This method can potentially improve the speed and accuracy in perfusion deficit detection for acute stroke treatment and clinical trial inclusion decision-making.
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Affiliation(s)
- Sunbin Song
- NIH/NINDS, Human Cortical Physiology and Neurorehabilitation Section, Bethesda, Maryland, United States of America
| | - Reinoud P. H. Bokkers
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- * E-mail:
| | - Marie Luby
- NIH/NINDS, Stroke Branch, Bethesda, Maryland, United States of America
| | | | - Tyler Brown
- NIH/NINDS, Stroke Branch, Bethesda, Maryland, United States of America
| | - Shreyansh Shah
- NIH/NINDS, Stroke Branch, Bethesda, Maryland, United States of America
| | - Robert W. Cox
- NIH/NIMH, Scientific and Statistical Computing Core, Bethesda, Maryland, United States of America
| | - Ziad S. Saad
- NIH/NIMH, Scientific and Statistical Computing Core, Bethesda, Maryland, United States of America
| | - Richard C. Reynolds
- NIH/NIMH, Scientific and Statistical Computing Core, Bethesda, Maryland, United States of America
| | - Daniel R. Glen
- NIH/NIMH, Scientific and Statistical Computing Core, Bethesda, Maryland, United States of America
| | - Leonardo G. Cohen
- NIH/NINDS, Human Cortical Physiology and Neurorehabilitation Section, Bethesda, Maryland, United States of America
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Antal A, Alekseichuk I, Bikson M, Brockmöller J, Brunoni AR, Chen R, Cohen LG, Dowthwaite G, Ellrich J, Flöel A, Fregni F, George MS, Hamilton R, Haueisen J, Herrmann CS, Hummel FC, Lefaucheur JP, Liebetanz D, Loo CK, McCaig CD, Miniussi C, Miranda PC, Moliadze V, Nitsche MA, Nowak R, Padberg F, Pascual-Leone A, Poppendieck W, Priori A, Rossi S, Rossini PM, Rothwell J, Rueger MA, Ruffini G, Schellhorn K, Siebner HR, Ugawa Y, Wexler A, Ziemann U, Hallett M, Paulus W. Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines. Clin Neurophysiol 2017; 128:1774-1809. [PMID: 28709880 PMCID: PMC5985830 DOI: 10.1016/j.clinph.2017.06.001] [Citation(s) in RCA: 627] [Impact Index Per Article: 89.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 05/29/2017] [Accepted: 06/06/2017] [Indexed: 12/11/2022]
Abstract
Low intensity transcranial electrical stimulation (TES) in humans, encompassing transcranial direct current (tDCS), transcutaneous spinal Direct Current Stimulation (tsDCS), transcranial alternating current (tACS), and transcranial random noise (tRNS) stimulation or their combinations, appears to be safe. No serious adverse events (SAEs) have been reported so far in over 18,000 sessions administered to healthy subjects, neurological and psychiatric patients, as summarized here. Moderate adverse events (AEs), as defined by the necessity to intervene, are rare, and include skin burns with tDCS due to suboptimal electrode-skin contact. Very rarely mania or hypomania was induced in patients with depression (11 documented cases), yet a causal relationship is difficult to prove because of the low incidence rate and limited numbers of subjects in controlled trials. Mild AEs (MAEs) include headache and fatigue following stimulation as well as prickling and burning sensations occurring during tDCS at peak-to-baseline intensities of 1-2mA and during tACS at higher peak-to-peak intensities above 2mA. The prevalence of published AEs is different in studies specifically assessing AEs vs. those not assessing them, being higher in the former. AEs are frequently reported by individuals receiving placebo stimulation. The profile of AEs in terms of frequency, magnitude and type is comparable in healthy and clinical populations, and this is also the case for more vulnerable populations, such as children, elderly persons, or pregnant women. Combined interventions (e.g., co-application of drugs, electrophysiological measurements, neuroimaging) were not associated with further safety issues. Safety is established for low-intensity 'conventional' TES defined as <4mA, up to 60min duration per day. Animal studies and modeling evidence indicate that brain injury could occur at predicted current densities in the brain of 6.3-13A/m2 that are over an order of magnitude above those produced by tDCS in humans. Using AC stimulation fewer AEs were reported compared to DC. In specific paradigms with amplitudes of up to 10mA, frequencies in the kHz range appear to be safe. In this paper we provide structured interviews and recommend their use in future controlled studies, in particular when trying to extend the parameters applied. We also discuss recent regulatory issues, reporting practices and ethical issues. These recommendations achieved consensus in a meeting, which took place in Göttingen, Germany, on September 6-7, 2016 and were refined thereafter by email correspondence.
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Affiliation(s)
- A Antal
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Georg August University, Göttingen, Germany.
| | - I Alekseichuk
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Georg August University, Göttingen, Germany
| | - M Bikson
- Department of Biomedical Engineering, The City College of New York, New York, USA
| | - J Brockmöller
- Department of Clinical Pharmacology, University Medical Center Goettingen, Germany
| | - A R Brunoni
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, Laboratory of Neurosciences (LIM-27) and Interdisciplinary Center for Applied Neuromodulation University Hospital, University of São Paulo, São Paulo, Brazil
| | - R Chen
- Division of Neurology, Department of Medicine, University of Toronto and Krembil Research Institute, Toronto, Ontario, Canada
| | - L G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke NIH, Bethesda, USA
| | | | - J Ellrich
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark; Institute of Physiology and Pathophysiology, University of Erlangen-Nürnberg, Erlangen, Germany; EBS Technologies GmbH, Europarc Dreilinden, Germany
| | - A Flöel
- Universitätsmedizin Greifswald, Klinik und Poliklinik für Neurologie, Greifswald, Germany
| | - F Fregni
- Spaulding Neuromodulation Center, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA
| | - M S George
- Brain Stimulation Division, Medical University of South Carolina, and Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
| | - R Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - J Haueisen
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Germany
| | - C S Herrmann
- Experimental Psychology Lab, Department of Psychology, European Medical School, Carl von Ossietzky Universität, Oldenburg, Germany
| | - F C Hummel
- Defitech Chair of Clinical Neuroengineering, Centre of Neuroprosthetics (CNP) and Brain Mind Institute, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Clinique Romande de Réadaptation, Swiss Federal Institute of Technology (EPFL Valais), Sion, Switzerland
| | - J P Lefaucheur
- Department of Physiology, Henri Mondor Hospital, Assistance Publique - Hôpitaux de Paris, and EA 4391, Nerve Excitability and Therapeutic Team (ENT), Faculty of Medicine, Paris Est Créteil University, Créteil, France
| | - D Liebetanz
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Georg August University, Göttingen, Germany
| | - C K Loo
- School of Psychiatry & Black Dog Institute, University of New South Wales, Sydney, Australia
| | - C D McCaig
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland, UK
| | - C Miniussi
- Center for Mind/Brain Sciences CIMeC, University of Trento, Rovereto, Italy; Cognitive Neuroscience Section, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - P C Miranda
- Institute of Biophysics and Biomedical Engineering, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - V Moliadze
- Institute of Medical Psychology and Medical Sociology, University Hospital of Schleswig-Holstein (UKSH), Campus Kiel, Christian-Albrechts-University, Kiel, Germany
| | - M A Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany; Department of Neurology, University Hospital Bergmannsheil, Bochum, Germany
| | - R Nowak
- Neuroelectrics, Barcelona, Spain
| | - F Padberg
- Department of Psychiatry and Psychotherapy, Munich Center for Brain Stimulation, Ludwig-Maximilian University Munich, Germany
| | - A Pascual-Leone
- Division of Cognitive Neurology, Harvard Medical Center and Berenson-Allen Center for Noninvasive Brain Stimulation at Beth Israel Deaconess Medical Center, Boston, USA
| | - W Poppendieck
- Department of Information Technology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - A Priori
- Center for Neurotechnology and Experimental Brain Therapeutich, Department of Health Sciences, University of Milan Italy; Deparment of Clinical Neurology, University Hospital Asst Santi Paolo E Carlo, Milan, Italy
| | - S Rossi
- Department of Medicine, Surgery and Neuroscience, Human Physiology Section and Neurology and Clinical Neurophysiology Section, Brain Investigation & Neuromodulation Lab, University of Siena, Italy
| | - P M Rossini
- Area of Neuroscience, Institute of Neurology, University Clinic A. Gemelli, Catholic University, Rome, Italy
| | | | - M A Rueger
- Department of Neurology, University Hospital of Cologne, Germany
| | | | | | - H R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Y Ugawa
- Department of Neurology, Fukushima Medical University, Fukushima, Japan; Fukushima Global Medical Science Center, Advanced Clinical Research Center, Fukushima Medical University, Japan
| | - A Wexler
- Department of Science, Technology & Society, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - U Ziemann
- Department of Neurology & Stroke, and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - M Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - W Paulus
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Georg August University, Göttingen, Germany
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Gabitov E, Boutin A, Pinsard B, Censor N, Fogel SM, Albouy G, King BR, Benali H, Carrier J, Cohen LG, Karni A, Doyon J. Re-stepping into the same river: competition problem rather than a reconsolidation failure in an established motor skill. Sci Rep 2017; 7:9406. [PMID: 28839217 PMCID: PMC5570932 DOI: 10.1038/s41598-017-09677-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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: 01/17/2017] [Accepted: 07/28/2017] [Indexed: 11/09/2022] Open
Abstract
Animal models suggest that consolidated memories return to their labile state when reactivated and need to be restabilized through reconsolidation processes to persist. Consistent with this notion, post-reactivation pharmacological protein synthesis blockage results in mnemonic failure in hippocampus-dependent memories. It has been proposed that, in humans, post-reactivation experience with a competitive task can also interfere with memory restabilization. However, several studies failed to induce performance deficit implementing this approach. Moreover, even upon effective post-reactivation interference, hindered performance may rapidly recover, raising the possibility of a retrieval rather than a storage deficit. Here, to address these issues in procedural memory domain, we used new learning to interfere with restabilization of motor memory acquired through training on a sequence of finger movements. Only immediate post-reactivation interference was associated with the loss of post-training delayed gains in performance, a hallmark of motor sequence memory consolidation. We also demonstrate that such performance deficit more likely indicates a genuine memory impairment rather than a retrieval failure. However, the reconsolidation view on a reactivation-induced plasticity is not supported. Instead, our results are in line with the integration model according to which new knowledge acquired during the interfering experience, is integrated through its consolidation creating memory competition.
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Affiliation(s)
- Ella Gabitov
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada. .,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada. .,Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, 3498838, Israel.
| | - Arnaud Boutin
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada.,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada
| | - Basile Pinsard
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada.,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada.,Functional Neuroimaging Laboratory, INSERM U1146, Sorbonne University, Paris, 75634, France
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Stuart M Fogel
- School of Psychology, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada
| | - Geneviève Albouy
- Movement Control and Neuroplasticity Research Group, Department of Kinesiology, KU Leuven, Leuven, 3000, Belgium
| | - Bradley R King
- Movement Control and Neuroplasticity Research Group, Department of Kinesiology, KU Leuven, Leuven, 3000, Belgium
| | - Habib Benali
- Functional Neuroimaging Laboratory, INSERM U1146, Sorbonne University, Paris, 75634, France.,PERFORM Centre, Concordia University, Montreal, Quebec, H4B 1R6, Canada
| | - Julie Carrier
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada.,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Avi Karni
- Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, 3498838, Israel
| | - Julien Doyon
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada. .,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada.
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Hussain SJ, Cohen LG. Exploratory studies: a crucial step towards better hypothesis-driven confirmatory research in brain stimulation. J Physiol 2017; 595:1013-1014. [PMID: 28095638 DOI: 10.1113/jp273582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Sara J Hussain
- Human Cortical Physiology and Neurorehabilitation Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Saposnik G, Cramer S, Cohen LG, Cohen A, laupacis A, Bayley M. Abstract TMP38: Virtual Reality in Stroke Rehabilitation: Identifying Responders in Evrest Multicentre Trial. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.tmp38] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Despite the modest benefits of non-immersive virtual reality (VR) in small, single center studies, our largest trial (EVREST Muticentre) showed no significant difference in motor recovery when VR was compared to an active control. More crucial is to determine the presence of a treatment effect by evaluating respondents.
Methods:
Adults <3 months of stroke with a Chedoke-McMaster >3 were randomized to receive VR using the Nintendo Wii™ gaming system (VRWii) vs. recreational activities (playing cards, ‘Jenga’, domino) (RA). All participants received usual care consisting of conventional rehabilitation at each center. Participants received an intensive program of 10 sessions of either VR or RA, 60 minutes each, over a 2-week period. The primary outcome was a difference in motor performance between groups using the Wolf Motor Function test (WMFT) at the end of the intervention. We defined respondents based on the accepted minimally clinically important difference (MCID) of ≥20% improvement from the baseline WMFT.
1
Secondary outcomes included a MCID of 30% in the Stroke impact Scale (hand) and in the perception of improvement.
2
Results:
Between May 2012 and Oct, 2015, 141 patients received either VRWii (n=71) or RA (n=70). Mean age was 62±12 years. Overall, 63 (53%) participants achieved the MCID (47% % in the VRWii vs 58% RA; p=0.32) at the end of the intervention and 81% 4-weeks post intervention (74 % in the VRWii vs 87% RA; p= 0.21). The total duration of each intervention between respondents and non-respondents was similar (589±57 vs. 579±31 min; p=0.47). Multivariable analysis revealed no difference in the response to VRWii compared to RA (OR 0.63; 95%CI 0.30-1.33). Other outcomes are summarized in the Table.
Conclusions:
The responder analysis in EVREST Multicenter showed no significant difference between groups (VRWii vs RA) for the primary and secondary outcomes. Our results are in agreement with prior analyses that compared mean change across groups.
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Affiliation(s)
- Gustavo Saposnik
- St Michael’s Hosp, Dept of Medicine, Univ of Toronto, Toronto, Canada
| | | | | | - Ashley Cohen
- Applied Health Rsch Cntr, Li Ka Shing Knowledge Institute, Toronto, Canada
| | - Andreas laupacis
- St Michael’s Hosp, Dept of Health Policy, Management and Evaluation, Univ of Toronto, Toronto, Canada
| | - Mark Bayley
- Toronto Rehabilitation Institute, Univ of Toronto, Toronto, Canada
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Buch ER, Santarnecchi E, Antal A, Born J, Celnik PA, Classen J, Gerloff C, Hallett M, Hummel FC, Nitsche MA, Pascual-Leone A, Paulus WJ, Reis J, Robertson EM, Rothwell JC, Sandrini M, Schambra HM, Wassermann EM, Ziemann U, Cohen LG. Effects of tDCS on motor learning and memory formation: A consensus and critical position paper. Clin Neurophysiol 2017; 128:589-603. [PMID: 28231477 DOI: 10.1016/j.clinph.2017.01.004] [Citation(s) in RCA: 214] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 01/05/2017] [Accepted: 01/11/2017] [Indexed: 01/05/2023]
Abstract
Motor skills are required for activities of daily living. Transcranial direct current stimulation (tDCS) applied in association with motor skill learning has been investigated as a tool for enhancing training effects in health and disease. Here, we review the published literature investigating whether tDCS can facilitate the acquisition, retention or adaptation of motor skills. Work in multiple laboratories is underway to develop a mechanistic understanding of tDCS effects on different forms of learning and to optimize stimulation protocols. Efforts are required to improve reproducibility and standardization. Overall, reproducibility remains to be fully tested, effect sizes with present techniques vary over a wide range, and the basis of observed inter-individual variability in tDCS effects is incompletely understood. It is recommended that future studies explicitly state in the Methods the exploratory (hypothesis-generating) or hypothesis-driven (confirmatory) nature of the experimental designs. General research practices could be improved with prospective pre-registration of hypothesis-based investigations, more emphasis on the detailed description of methods (including all pertinent details to enable future modeling of induced current and experimental replication), and use of post-publication open data repositories. A checklist is proposed for reporting tDCS investigations in a way that can improve efforts to assess reproducibility.
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Affiliation(s)
- Ethan R Buch
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Emiliano Santarnecchi
- Berenson-Allen Center for Non-Invasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Medical Center, Harvard Medical School, Boston, MA, USA
| | - Andrea Antal
- Department of Clinical Neurophysiology, University Medical Center, Georg-August University, Göttingen, Germany
| | - Jan Born
- Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany; Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Pablo A Celnik
- Department of Physical Medicine and Rehabilitation, Johns Hopkins Medical Institution, Baltimore, MD, USA; Department of Neuroscience, Johns Hopkins Medical Institution, Baltimore, MD, USA
| | - Joseph Classen
- Department of Neurology, University of Leipzig, Leipzig, Germany
| | - Christian Gerloff
- Brain Imaging and NeuroStimulation (BINS) Laboratory, Department of Neurology University Medical Center Hamburg-Eppendorf Martinistr, Hamburg, Germany
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Friedhelm C Hummel
- Brain Imaging and NeuroStimulation (BINS) Laboratory, Department of Neurology University Medical Center Hamburg-Eppendorf Martinistr, Hamburg, Germany
| | - Michael A Nitsche
- Department of Psychology and Neuroscience, Leibniz Research Center for Working Environment and Human Factors (IfADo), Dortmund, Germany
| | - Alvaro Pascual-Leone
- Berenson-Allen Center for Non-Invasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Medical Center, Harvard Medical School, Boston, MA, USA
| | - Walter J Paulus
- Department of Clinical Neurophysiology, University Medical Center, Georg-August University, Göttingen, Germany
| | - Janine Reis
- Department of Neurology, Albert Ludwigs University, Freiburg, Germany
| | - Edwin M Robertson
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | | | - Marco Sandrini
- Department of Psychology, University of Roehampton, London, UK
| | - Heidi M Schambra
- Department of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, USA
| | - Eric M Wassermann
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ulf Ziemann
- Department of Neurology & Stroke, and Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
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