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      Critical Period After Stroke Study (CPASS): A phase II clinical trial testing an optimal time for motor recovery after stroke in humans

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          Significance

          Restoration of postinjury brain function is a signal neuroscience challenge. Animal models of stroke recovery demonstrate time-limited windows of heightened motor recovery, similar to developmental neuroplasticity. However, no equivalent windows have been demonstrated in humans. We report a randomized controlled trial applying essential elements of animal motor training paradigms to humans, to determine the existence of an analogous sensitive period in adults. We found a similar sensitive or optimal period 60 to 90 d after stroke, with lesser effects ≤30 d and no effect 6 mo or later after stroke. These findings prospectively demonstrated the existence of a sensitive period in adult humans. We urge the provision of more intensive motor rehabilitation within 60 to 90 d after stroke onset.

          Abstract

          Restoration of human brain function after injury is a signal challenge for translational neuroscience. Rodent stroke recovery studies identify an optimal or sensitive period for intensive motor training after stroke: near-full recovery is attained if task-specific motor training occurs during this sensitive window. We extended these findings to adult humans with stroke in a randomized controlled trial applying the essential elements of rodent motor training paradigms to humans. Stroke patients were adaptively randomized to begin 20 extra hours of self-selected, task-specific motor therapy at ≤30 d (acute), 2 to 3 mo (subacute), or ≥6 mo (chronic) after stroke, compared with controls receiving standard motor rehabilitation. Upper extremity (UE) impairment assessed by the Action Research Arm Test (ARAT) was measured at up to five time points. The primary outcome measure was ARAT recovery over 1 y after stroke. By 1 y we found significantly increased UE motor function in the subacute group compared with controls (ARAT difference = +6.87 ± 2.63, P = 0.009). The acute group compared with controls showed smaller but significant improvement (ARAT difference = +5.25 ± 2.59 points, P = 0.043). The chronic group showed no significant improvement compared with controls (ARAT = +2.41 ± 2.25, P = 0.29). Thus task-specific motor intervention was most effective within the first 2 to 3 mo after stroke. The similarity to rodent model treatment outcomes suggests that other rodent findings may be translatable to human brain recovery. These results provide empirical evidence of a sensitive period for motor recovery in humans.

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          Heart Disease and Stroke Statistics—2020 Update

          Circulation
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            Measurement of health status. Ascertaining the minimal clinically important difference.

            In recent years quality of life instruments have been featured as primary outcomes in many randomized trials. One of the challenges facing the investigator using such measures is determining the significance of any differences observed, and communicating that significance to clinicians who will be applying the trial results. We have developed an approach to elucidating the significance of changes in score in quality of life instruments by comparing them to global ratings of change. Using this approach we have established a plausible range within which the minimal clinically important difference (MCID) falls. In three studies in which instruments measuring dyspnea, fatigue, and emotional function in patients with chronic heart and lung disease were applied the MCID was represented by mean change in score of approximately 0.5 per item, when responses were presented on a seven point Likert scale. Furthermore, we have established ranges for changes in questionnaire scores that correspond to moderate and large changes in the domains of interest. This information will be useful in interpreting questionnaire scores, both in individuals and in groups of patients participating in controlled trials, and in the planning of new trials.
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              Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage.

              This paper reviews 10 principles of experience-dependent neural plasticity and considerations in applying them to the damaged brain. Neuroscience research using a variety of models of learning, neurological disease, and trauma are reviewed from the perspective of basic neuroscientists but in a manner intended to be useful for the development of more effective clinical rehabilitation interventions. Neural plasticity is believed to be the basis for both learning in the intact brain and relearning in the damaged brain that occurs through physical rehabilitation. Neuroscience research has made significant advances in understanding experience-dependent neural plasticity, and these findings are beginning to be integrated with research on the degenerative and regenerative effects of brain damage. The qualities and constraints of experience-dependent neural plasticity are likely to be of major relevance to rehabilitation efforts in humans with brain damage. However, some research topics need much more attention in order to enhance the translation of this area of neuroscience to clinical research and practice. The growing understanding of the nature of brain plasticity raises optimism that this knowledge can be capitalized upon to improve rehabilitation efforts and to optimize functional outcome.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                28 September 2021
                20 September 2021
                20 September 2021
                : 118
                : 39
                : e2026676118
                Affiliations
                [1] aResearch Division, MedStar National Rehabilitation Hospital , Washington, DC 20010;
                [2] bCenter for Brain Plasticity and Recovery, Departments of Rehabilitation Medicine and Neurology, Georgetown University Medical Center , Washington, DC 20057;
                [3] cProgram in Physical Therapy, Washington University in St. Louis , St. Louis, MO 63110;
                [4] dDepartment of Biostatistics, Bioinformatics & Biomathematics, Georgetown University Medical Center , Washington, DC 20057;
                [5] eDepartment of Kinesiology, University of Wisconsin–Madison , Madison, WI 53706;
                [6] fDepartment of Medicine, University of Wisconsin–Madison , Madison, WI 53706
                Author notes
                3To whom correspondence may be addressed. Email: eln10@ 123456georgetown.edu .

                Contributed by Elissa L. Newport, July 12, 2021 (sent for review December 30, 2020; reviewed by Dale Corbett and Mark P. Goldberg)

                Author contributions: A.W.D., J.B., K.B., A.M., M.A.E., M.T.T., E.L.N., and D.F.E. designed research; A.W.D., S.G., J.B., K.B., M.L.G., A.M., and M.A.E. performed research; A.W.D., S.G., M.T.T., and Y.Z. analyzed data; and A.W.D., S.G., J.B., K.B., M.L.G., A.M., M.T.T., Y.Z., E.L.N., and D.F.E. wrote the paper.

                Reviewers: D.C., University of Ottawa; and M.P.G., University of Texas Southwestern Medical Center.

                1A.W.D. and S.G. contributed equally to this work.

                2Deceased August 21, 2021.

                Author information
                https://orcid.org/0000-0002-2783-5062
                Article
                202026676
                10.1073/pnas.2026676118
                8488696
                34544853
                de31057f-441c-4016-9d3a-2edaa6b79a18
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 23 July 2021
                Page count
                Pages: 10
                Categories
                424
                Biological Sciences
                Neuroscience

                stroke rehabilitation,stroke,critical period,neuronal plasticity,time factors

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