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Overman MJ, Binns E, Milosevich ET, Demeyere N. Recovery of Visuospatial Neglect With Standard Treatment: A Systematic Review and Meta-Analysis. Stroke 2024; 55:2325-2339. [PMID: 39016005 PMCID: PMC11346719 DOI: 10.1161/strokeaha.124.046760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/05/2024] [Accepted: 06/21/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND Visuospatial neglect is a common consequence of stroke and is characterized by impaired attention to contralesional space. Currently, the extent and time course of recovery from neglect are not clearly established. This systematic review and meta-analysis aimed to determine the recovery trajectory of poststroke neglect with standard treatment. METHODS PsycInfo, Embase, and MEDLINE were searched for articles reporting recovery rates of neglect after stroke. Time since stroke was categorized into early (0-3 months), mid (3-6 months), and late (>6 months) recovery phases. Random-effects models for pooled prevalence were generated for each phase, and potential sources of heterogeneity were explored with metaregressions. Methodological quality of each study was assessed using the Joanna Briggs Institute checklist, with low-quality studies excluded in sensitivity analyses. RESULTS The search captured 4130 articles including duplicates, and 111 full-text reviews were undertaken. A total of 27 studies reporting data from 839 stroke survivors with neglect were included for review. Meta-analyses indicated a recovery rate of 42% in the early phase, which increased to 53% in the mid-recovery phase. Additional recovery in the late phase was minimal, with an estimated 56% recovery rate. Heterogeneity of studies was high (I2>75%) in all 3 phases of recovery. Estimates were robust to sensitivity analyses. Metaregressions showed significantly greater recovery in studies that included patients with left-hemisphere lesions (β=0.275, P<0.05, I2=84%). CONCLUSIONS Most recovery from neglect occurs in the first 3 months, although additional gains can be expected up to 6 months poststroke. While a large proportion of patients recover from neglect, over 40% show persistent symptoms. Further research is needed on effective rehabilitation interventions, particularly focusing on patients most at risk of chronic visuospatial neglect. REGISTRATION URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42023388763.
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Affiliation(s)
- Margot Juliëtte Overman
- Department of Experimental Psychology (M.J.O., E.B., E.T.M.), University of Oxford, United Kingdom
| | - Elena Binns
- Department of Experimental Psychology (M.J.O., E.B., E.T.M.), University of Oxford, United Kingdom
| | - Elise T. Milosevich
- Department of Experimental Psychology (M.J.O., E.B., E.T.M.), University of Oxford, United Kingdom
| | - Nele Demeyere
- Nuffield Department of Clinical Neurosciences (N.D.), University of Oxford, United Kingdom
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Grattan ES, Hounshel Smith B, Mullen K, Woodbury ML. Unilateral Spatial Neglect May Not Be Detected by Performance-Based Functional Neglect Assessment. Am J Occup Ther 2024; 78:7802180200. [PMID: 38350038 PMCID: PMC11017738 DOI: 10.5014/ajot.2024.050497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024] Open
Abstract
IMPORTANCE Unilateral spatial neglect (neglect) poststroke is disabling. It is critical that people with neglect are identified so that treatment can be provided to maximize independence. However, there is some evidence to suggest that existing assessments may not adequately measure neglect. It is unclear whether assessments also fail to identify people with neglect entirely. OBJECTIVE To determine whether there are stroke survivors who self-report neglect symptoms that are not detected by therapist-rated assessments and to compare self-report and therapist-ratings. DESIGN Cross-sectional study. SETTING U.S. university research center. PARTICIPANTS Unilateral stroke survivors (N = 133). INTERVENTION Not applicable. OUTCOMES AND MEASURES The Catherine Bergego Scale (CBS) was administered to participants and scored by a trained occupational therapist. The parallel self-evaluation anosognosia form was also administered to participants to self-report and rate neglect symptoms. RESULTS Forty-eight participants (36.1%) were classified as without neglect on the basis of therapist-rated total CBS scores, yet 30 (62.5%) of these 48 participants reported symptoms of neglect on the CBS self-evaluation anosognosia form. There was a significant difference (p < .001) between therapist-rated and self-rated total CBS scores. CONCLUSIONS AND RELEVANCE Our results indicate that many stroke survivors report some level of disability associated with neglect yet do not meet the criteria to be classified as having neglect according to a commonly used therapist-rated performance-based measure. Plain-Language Summary: The findings of this study contribute to the evidence that existing assessments used by occupational therapists to measure performance-based neglect may not always detect neglect symptoms comprehensively in people poststroke. The finding also suggest that we may be missing neglect symptoms entirely. Occupational therapists should consider using various methods to assess for neglect, including patient self-report and comprehensive occupational profiles. Clinicians should also thoroughly screen all clients with stroke for neglect, regardless of lesion location.
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Affiliation(s)
- Emily S Grattan
- Emily S. Grattan, PhD, OTR/L, is Assistant Professor, Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA; . At the time this research was completed, Grattan was also Research Health Scientist, VA Pittsburgh Healthcare Center, Pittsburgh, PA
| | - Brice Hounshel Smith
- Brice Hounshel Smith, BS, is Research Assistant and Doctor of Occupational Therapy Student, Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA
| | - Katie Mullen
- Katie Mullen, MOT, OTR/L, is Research Occupational Therapist and Doctor of Clinical Science in Occupational Therapy Student, Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA
| | - Michelle L Woodbury
- Michelle L. Woodbury, PhD, OTR/L, is Professor, Department of Health Sciences and Research and Division of Occupational Therapy, Medical University of South Carolina, Charleston
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Li S. Stroke Recovery Is a Journey: Prediction and Potentials of Motor Recovery after a Stroke from a Practical Perspective. Life (Basel) 2023; 13:2061. [PMID: 37895442 PMCID: PMC10608684 DOI: 10.3390/life13102061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/01/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023] Open
Abstract
Stroke recovery is a journey. Stroke survivors can face many consequences that may last the rest of their lives. Assessment of initial impairments allows reasonable prediction of biological spontaneous recovery at 3 to 6 months for a majority of survivors. In real-world clinical practice, stroke survivors continue to improve their motor function beyond the spontaneous recovery period, but management plans for maximal recovery are not well understood. A model within the international classification of functioning (ICF) theoretical framework is proposed to systematically identify opportunities and potential barriers to maximize and realize the potentials of functional recovery from the acute to chronic stages and to maintain their function in the chronic stages. Health conditions of individuals, medical and neurological complications can be optimized under the care of specialized physicians. This permits stroke survivors to participate in various therapeutic interventions. Sufficient doses of appropriate interventions at the right time is critical for stroke motor rehabilitation. It is important to highlight that combining interventions is likely to yield better clinical outcomes. Caregivers, including family members, can assist and facilitate targeted therapeutic exercises for these individuals and can help stroke survivors comply with medical plans (medications, visits), and provide emotional support. With health optimization, comprehensive rehabilitation, support from family and caregivers and a commitment to a healthy lifestyle, many stroke survivors can overcome barriers and achieve potentials of maximum recovery and maintain their motor function in chronic stages. This ICF recovery model is likely to provide a guidance through the journey to best achieve stroke recovery potentials.
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Affiliation(s)
- Sheng Li
- Department of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center—Houston, Houston, TX 77025, USA;
- TIRR Memorial Hermann Hospital, Houston, TX 77030, USA
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Zhang JJ, Sánchez Vidaña DI, Chan JNM, Hui ESK, Lau KK, Wang X, Lau BWM, Fong KNK. Biomarkers for prognostic functional recovery poststroke: A narrative review. Front Cell Dev Biol 2023; 10:1062807. [PMID: 36699006 PMCID: PMC9868572 DOI: 10.3389/fcell.2022.1062807] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Background and objective: Prediction of poststroke recovery can be expressed by prognostic biomarkers that are related to the pathophysiology of stroke at the cellular and molecular level as well as to the brain structural and functional reserve after stroke at the systems neuroscience level. This study aimed to review potential biomarkers that can predict poststroke functional recovery. Methods: A narrative review was conducted to qualitatively summarize the current evidence on biomarkers used to predict poststroke functional recovery. Results: Neurophysiological measurements and neuroimaging of the brain and a wide diversity of molecules had been used as prognostic biomarkers to predict stroke recovery. Neurophysiological studies using resting-state electroencephalography (EEG) revealed an interhemispheric asymmetry, driven by an increase in low-frequency oscillation and a decrease in high-frequency oscillation in the ipsilesional hemisphere relative to the contralesional side, which was indicative of individual recovery potential. The magnitude of somatosensory evoked potentials and event-related desynchronization elicited by movement in task-related EEG was positively associated with the quantity of recovery. Besides, transcranial magnetic stimulation (TMS) studies revealed the potential values of using motor-evoked potentials (MEP) and TMS-evoked EEG potentials from the ipsilesional motor cortex as prognostic biomarkers. Brain structures measured using magnetic resonance imaging (MRI) have been implicated in stroke outcome prediction. Specifically, the damage to the corticospinal tract (CST) and anatomical motor connections disrupted by stroke lesion predicted motor recovery. In addition, a wide variety of molecular, genetic, and epigenetic biomarkers, including hemostasis, inflammation, tissue remodeling, apoptosis, oxidative stress, infection, metabolism, brain-derived, neuroendocrine, and cardiac biomarkers, etc., were associated with poor functional outcomes after stroke. However, challenges such as mixed evidence and analytical concerns such as specificity and sensitivity have to be addressed before including molecular biomarkers in routine clinical practice. Conclusion: Potential biomarkers with prognostic values for the prediction of functional recovery after stroke have been identified; however, a multimodal approach of biomarkers for prognostic prediction has rarely been studied in the literature. Future studies may incorporate a combination of multiple biomarkers from big data and develop algorithms using data mining methods to predict the recovery potential of patients after stroke in a more precise way.
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Affiliation(s)
- Jack Jiaqi Zhang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | | | - Jackie Ngai-Man Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Edward S. K. Hui
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xin Wang
- Department of Rehabilitation Medicine, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Benson W. M. Lau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Kenneth N. K. Fong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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Hybbinette H, Östberg P, Schalling E, Deboussard C, Plantin J, Borg J, Lindberg PG. Longitudinal changes in functional connectivity in speech motor networks in apraxia of speech after stroke. Front Neurol 2022; 13:1013652. [DOI: 10.3389/fneur.2022.1013652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/10/2022] [Indexed: 12/02/2022] Open
Abstract
ObjectiveThe cerebral substrates of apraxia of speech (AOS) recovery remain unclear. Resting state fMRI post stroke can inform on altered functional connectivity (FC) within cortical language networks. Some initial studies report reduced FC between bilateral premotor cortices in patients with AOS, with lowest FC in patients with the most severe AOS. However, longitudinal FC studies in stroke are lacking. The aims of the present longitudinal study in early post stroke patients with AOS were (i) to compare connectivity strength in AOS patients to that in left hemisphere (LH) lesioned stroke patients without a speech-language impairment, (ii) to investigate the relation between FC and severity of AOS, aphasia and non-verbal oral apraxia (NVOA) and (iii) to investigate longitudinal changes in FC, from the subacute phase to the chronic phase to identify predictors of AOS recovery.MethodsFunctional connectivity measures and comprehensive speech-language assessments were obtained at 4 weeks and 6 months after stroke in nine patients with AOS after a LH stroke and in six LH lesioned stroke patients without speech-language impairment. Functional connectivity was investigated in a network for speech production: inferior frontal gyrus (IFG), anterior insula (aINS), and ventral premotor cortex (vPMC), all bilaterally to investigate signs of adaptive or maladaptive changes in both hemispheres.ResultsInterhemispheric vPMC connectivity was significantly reduced in patients with AOS compared to LH lesioned patients without speech-language impairment. At 6 months, the AOS severity was associated with interhemispheric aINS and vPMC connectivity. Longitudinal changes in FC were found in individuals, whereas no significant longitudinal change in FC was found at the group level. Degree of longitudinal AOS recovery was strongly associated with interhemispheric IFG connectivity strength at 4 weeks.ConclusionEarly interhemispheric IFG connectivity may be a strong predictor of AOS recovery. The results support the importance of interhemispheric vPMC connection in speech motor planning and severity of AOS and suggest that also bilateral aINS connectivity may have an impact on AOS severity. These findings need to be validated in larger cohorts.
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Fleury L, Koch PJ, Wessel MJ, Bonvin C, San Millan D, Constantin C, Vuadens P, Adolphsen J, Cadic Melchior A, Brügger J, Beanato E, Ceroni M, Menoud P, De Leon Rodriguez D, Zufferey V, Meyer NH, Egger P, Harquel S, Popa T, Raffin E, Girard G, Thiran JP, Vaney C, Alvarez V, Turlan JL, Mühl A, Léger B, Morishita T, Micera S, Blanke O, Van De Ville D, Hummel FC. Toward individualized medicine in stroke—The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke. Front Neurol 2022; 13:939640. [PMID: 36226086 PMCID: PMC9549862 DOI: 10.3389/fneur.2022.939640] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Despite recent improvements, complete motor recovery occurs in <15% of stroke patients. To improve the therapeutic outcomes, there is a strong need to tailor treatments to each individual patient. However, there is a lack of knowledge concerning the precise neuronal mechanisms underlying the degree and course of motor recovery and its individual differences, especially in the view of brain network properties despite the fact that it became more and more clear that stroke is a network disorder. The TiMeS project is a longitudinal exploratory study aiming at characterizing stroke phenotypes of a large, representative stroke cohort through an extensive, multi-modal and multi-domain evaluation. The ultimate goal of the study is to identify prognostic biomarkers allowing to predict the individual degree and course of motor recovery and its underlying neuronal mechanisms paving the way for novel interventions and treatment stratification for the individual patients. A total of up to 100 patients will be assessed at 4 timepoints over the first year after the stroke: during the first (T1) and third (T2) week, then three (T3) and twelve (T4) months after stroke onset. To assess underlying mechanisms of recovery with a focus on network analyses and brain connectivity, we will apply synergistic state-of-the-art systems neuroscience methods including functional, diffusion, and structural magnetic resonance imaging (MRI), and electrophysiological evaluation based on transcranial magnetic stimulation (TMS) coupled with electroencephalography (EEG) and electromyography (EMG). In addition, an extensive, multi-domain neuropsychological evaluation will be performed at each timepoint, covering all sensorimotor and cognitive domains. This project will significantly add to the understanding of underlying mechanisms of motor recovery with a strong focus on the interactions between the motor and other cognitive domains and multimodal network analyses. The population-based, multi-dimensional dataset will serve as a basis to develop biomarkers to predict outcome and promote personalized stratification toward individually tailored treatment concepts using neuro-technologies, thus paving the way toward personalized precision medicine approaches in stroke rehabilitation.
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Affiliation(s)
- Lisa Fleury
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Philipp J. Koch
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Maximilian J. Wessel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Neurology, University Hospital and Julius-Maximilians-University, Wuerzburg, Germany
| | | | | | | | | | | | - Andéol Cadic Melchior
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Julia Brügger
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Elena Beanato
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Martino Ceroni
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Pauline Menoud
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Diego De Leon Rodriguez
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Valérie Zufferey
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Nathalie H. Meyer
- Laboratory of Cognitive Neuroscience, INX and BMI, EPFL, Campus Biotech, Geneva, Switzerland
| | - Philip Egger
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Sylvain Harquel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Traian Popa
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Estelle Raffin
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Gabriel Girard
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Signal Processing Laboratory (LTS5), EPFL, Lausanne, Switzerland
| | - Jean-Philippe Thiran
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Signal Processing Laboratory (LTS5), EPFL, Lausanne, Switzerland
| | | | | | | | - Andreas Mühl
- Clinique Romande de Réadaptation, Sion, Switzerland
| | | | - Takuya Morishita
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Silvestro Micera
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
- Bertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, INX and BMI, EPFL, Campus Biotech, Geneva, Switzerland
- Department of Clinical Neurosciences, University of Geneva (UNIGE), Geneva, Switzerland
| | - Dimitri Van De Ville
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Medical Image Processing Lab, Center for Neuroprosthetics, Institute of Bioengineering, EPFL, Lausanne, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
| | - Friedhelm C. Hummel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Clinical Neuroscience, Geneva University Hospital, Geneva, Switzerland
- *Correspondence: Friedhelm C. Hummel
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Scott SH, Lowrey CR, Brown IE, Dukelow SP. Assessment of Neurological Impairment and Recovery Using Statistical Models of Neurologically Healthy Behavior. Neurorehabil Neural Repair 2022:15459683221115413. [PMID: 35932111 DOI: 10.1177/15459683221115413] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
While many areas of medicine have benefited from the development of objective assessment tools and biomarkers, there have been comparatively few improvements in techniques used to assess brain function and dysfunction. Brain functions such as perception, cognition, and motor control are commonly measured using criteria-based, ordinal scales which can be coarse, have floor/ceiling effects, and often lack the precision to detect change. There is growing recognition that kinematic and kinetic-based measures are needed to quantify impairments following neurological injury such as stroke, in particular for clinical research and clinical trials. This paper will first consider the challenges with using criteria-based ordinal scales to quantify impairment and recovery. We then describe how kinematic-based measures can overcome many of these challenges and highlight a statistical approach to quantify kinematic measures of behavior based on performance of neurologically healthy individuals. We illustrate this approach with a visually-guided reaching task to highlight measures of impairment for individuals following stroke. Finally, there has been considerable controversy about the calculation of motor recovery following stroke. Here, we highlight how our statistical-based approach can provide an effective estimate of impairment and recovery.
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Affiliation(s)
- Stephen H Scott
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.,Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Catherine R Lowrey
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Ian E Brown
- Kinarm, BKIN Technologies Ltd. Kingston, ON, Canada
| | - Sean P Dukelow
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Bartfai A, Elg M, Schult ML, Markovic G. Predicting Outcome for Early Attention Training After Acquired Brain Injury. Front Hum Neurosci 2022; 16:767276. [PMID: 35664351 PMCID: PMC9159897 DOI: 10.3389/fnhum.2022.767276] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 03/30/2022] [Indexed: 11/21/2022] Open
Abstract
Background The training of impaired attention after acquired brain injury is central for successful reintegration in daily living, social, and working life. Using statistical process control, we found different improvement trajectories following attention training in a group of relatively homogeneous patients early after acquired brain injury (ABI). Objective To examine the contribution of pre-injury factors and clinical characteristics to differences in outcome after early attention training. Materials and Methods Data collected in a clinical trial comparing systematic attention training (APT) with activity-based attention training (ABAT) early after brain injury were reanalyzed. Results Stroke patients (p = 0.004) with unifocal (p = 0.002) and right hemisphere lesions (p = 0.045), and those with higher mental flexibility (TMT 4) (p = 0.048) benefitted most from APT training. Cognitive reserve (p = 0.030) was associated with CHANGE and APT as the sole pre-injury factor. For TBI patients, there was no statistical difference between the two treatments. Conclusion Our study identifies indiscernible factors predicting improvement after early attention training. APT is beneficial for patients with right-hemispheric stroke in an early recovery phase. Knowledge of prognostic factors, including the level of attention deficit, diagnosis, and injury characteristics, is vital to maximizing the efficiency of resource allocation and the effectiveness of rehabilitative interventions to enhance outcomes following stroke and TBI.
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Affiliation(s)
- Aniko Bartfai
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
- Division of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
- *Correspondence: Aniko Bartfai,
| | - Mattias Elg
- Department of Management and Engineering, IEI, Linköping University, Linköping, Sweden
| | - Marie-Louise Schult
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
- Division of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
| | - Gabriela Markovic
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
- Division of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
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9
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Moore MJ, Vancleef K, Riddoch MJ, Gillebert CR, Demeyere N. Recovery of Visuospatial Neglect Subtypes and Relationship to Functional Outcome Six Months After Stroke. Neurorehabil Neural Repair 2021; 35:823-835. [PMID: 34269128 PMCID: PMC8414826 DOI: 10.1177/15459683211032977] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background/Objective. This study aims to investigate how complex visuospatial neglect behavioural phenotypes predict long-term outcomes, both in terms of neglect recovery and broader functional outcomes after 6 months post-stroke. Methods. This study presents a secondary cohort study of acute and 6-month follow-up data from 400 stroke survivors who completed the Oxford Cognitive Screen's Cancellation Task. At follow-up, patients also completed the Stroke Impact Scale questionnaire. These data were analysed to identify whether any specific combination of neglect symptoms is more likely to result in long-lasting neglect or higher levels of functional impairment, therefore warranting more targeted rehabilitation. Results. Overall, 98/142 (69%) neglect cases recovered by follow-up, and there was no significant difference in the persistence of egocentric/allocentric (X2 [1] = .66 and P = .418) or left/right neglect (X2 [2] = .781 and P = .677). Egocentric neglect was found to follow a proportional recovery pattern with all patients demonstrating a similar level of improvement over time. Conversely, allocentric neglect followed a non-proportional recovery pattern with chronic neglect patients exhibiting a slower rate of improvement than those who recovered. A multiple regression analysis revealed that the initial severity of acute allocentric, but not egocentric, neglect impairment acted as a significant predictor of poor long-term functional outcomes (F [9,300] = 4.742, P < .001 and adjusted R2 = .098). Conclusions. Our findings call for systematic neuropsychological assessment of both egocentric and allocentric neglect following stroke, as the occurrence and severity of these conditions may help predict recovery outcomes over and above stroke severity alone.
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Affiliation(s)
- Margaret J. Moore
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Kathleen Vancleef
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - M. Jane Riddoch
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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Chang AJ, Wilmskoetter J, Fridriksson J, McKinnon ET, Johnson LP, Basilakos A, Jensen JH, Rorden C, Bonilha L. Cortical microstructural changes associated with treated aphasia recovery. Ann Clin Transl Neurol 2021; 8:1884-1894. [PMID: 34406705 PMCID: PMC8419405 DOI: 10.1002/acn3.51445] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 01/17/2023] Open
Abstract
Objectives To investigate the hypothesis that language recovery in post‐stroke aphasia is associated with structural brain changes. Methods We evaluated whether treatment‐induced improvement in naming is associated with reorganization of tissue microstructure within residual cortical regions. To this end, we performed a retrospective longitudinal treatment study using comprehensive language‐linguistic assessments and diffusion MRI sequences optimized for the assessment of complex microstructure (diffusional kurtosis imaging) to evaluate the relationship between language treatment response and cortical changes in 26 individuals with chronic stroke‐induced aphasia. We employed elastic net statistical models controlling for baseline factors including age, sex, and time since the stroke, as well as lesion volume. Results We observed that improved naming accuracy (Philadelphia Naming Test) was statistically associated with increased post‐treatment microstructural integrity in the left posterior superior temporal gyrus. Moreover, increase in microstructural integrity in the left middle temporal gyrus and left inferior temporal gyrus was specifically associated with a decrease in semantic paraphasias. This longitudinal relationship between brain tissue integrity and language improvement was not observed in other non‐language related brain regions. Interpretation Our findings provide evidence that structural brain changes in the preserved left hemisphere regions are associated with treatment‐induced language recovery in aphasia and are part of the mechanisms supporting language and brain injury recovery.
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Affiliation(s)
- Allen J Chang
- College of Graduate Studies, Neuroscience Institute, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Janina Wilmskoetter
- Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.,Department of Rehabilitation Sciences, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Julius Fridriksson
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, South Carolina, USA
| | - Emilie T McKinnon
- Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lorelei P Johnson
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, South Carolina, USA
| | - Alexandra Basilakos
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, South Carolina, USA
| | - Jens H Jensen
- Department of Neuroscience, College of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Chris Rorden
- Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Leonardo Bonilha
- Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
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11
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Bonkhoff AK, Hope T, Bzdok D, Guggisberg AG, Hawe RL, Dukelow SP, Rehme AK, Fink GR, Grefkes C, Bowman H. Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment. Brain 2020; 143:2189-2206. [PMID: 32601678 DOI: 10.1093/brain/awaa146] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 03/09/2020] [Accepted: 03/23/2020] [Indexed: 01/05/2023] Open
Abstract
Accurate predictions of motor impairment after stroke are of cardinal importance for the patient, clinician, and healthcare system. More than 10 years ago, the proportional recovery rule was introduced by promising that high-fidelity predictions of recovery following stroke were based only on the initially lost motor function, at least for a specific fraction of patients. However, emerging evidence suggests that this recovery rule is subject to various confounds and may apply less universally than previously assumed. Here, we systematically revisited stroke outcome predictions by applying strategies to avoid confounds and fitting hierarchical Bayesian models. We jointly analysed 385 post-stroke trajectories from six separate studies-one of the largest overall datasets of upper limb motor recovery. We addressed confounding ceiling effects by introducing a subset approach and ensured correct model estimation through synthetic data simulations. Subsequently, we used model comparisons to assess the underlying nature of recovery within our empirical recovery data. The first model comparison, relying on the conventional fraction of patients called 'fitters', pointed to a combination of proportional to lost function and constant recovery. 'Proportional to lost' here describes the original notion of proportionality, indicating greater recovery in case of a more severe initial impairment. This combination explained only 32% of the variance in recovery, which is in stark contrast to previous reports of >80%. When instead analysing the complete spectrum of subjects, 'fitters' and 'non-fitters', a combination of proportional to spared function and constant recovery was favoured, implying a more significant improvement in case of more preserved function. Explained variance was at 53%. Therefore, our quantitative findings suggest that motor recovery post-stroke may exhibit some characteristics of proportionality. However, the variance explained was substantially reduced compared to what has previously been reported. This finding motivates future research moving beyond solely behaviour scores to explain stroke recovery and establish robust and discriminating single-subject predictions.
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Affiliation(s)
- Anna K Bonkhoff
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.,Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas Hope
- Wellcome Centre for Human Neuroimaging, University College London, UK
| | - Danilo Bzdok
- Mila - Quebec Artificial Intelligence Institute, Montreal, Canada.,Department of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, Faculty of Medicine, McGill University, Montreal, Canada
| | - Adrian G Guggisberg
- Clinical Neuroscience, University of Geneva, Medical School, 1202 Geneva, Switzerland
| | - Rachel L Hawe
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Sean P Dukelow
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Anne K Rehme
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany
| | - Christian Grefkes
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany
| | - Howard Bowman
- School of Psychology, University of Birmingham, Birmingham, UK.,School of Computing, University of Kent, Canterbury, UK
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12
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Zandvliet SB, Kwakkel G, Nijland RHM, van Wegen EEH, Meskers CGM. Is Recovery of Somatosensory Impairment Conditional for Upper-Limb Motor Recovery Early After Stroke? Neurorehabil Neural Repair 2020; 34:403-416. [PMID: 32391744 PMCID: PMC7222963 DOI: 10.1177/1545968320907075] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Background. Spontaneous recovery early after stroke is most evident during a time-sensitive window of heightened neuroplasticity, known as spontaneous neurobiological recovery. It is unknown whether poststroke upper-limb motor and somatosensory impairment both reflect spontaneous neurobiological recovery or if somatosensory impairment and/or recovery influences motor recovery. Methods. Motor (Fugl-Meyer upper-extremity [FM-UE]) and somatosensory impairments (Erasmus modification of the Nottingham Sensory Assessment [EmNSA-UE]) were measured in 215 patients within 3 weeks and at 5, 12, and 26 weeks after a first-ever ischemic stroke. The longitudinal association between FM-UE and EmNSA-UE was examined in patients with motor and somatosensory impairments (FM-UE ≤ 60 and EmNSA-UE ≤ 37) at baseline. Results. A total of 94 patients were included in the longitudinal analysis. EmNSA-UE increased significantly up to 12 weeks poststroke. The longitudinal association between motor and somatosensory impairment disappeared when correcting for progress of time and was not significantly different for patients with severe baseline somatosensory impairment. Patients with a FM-UE score ≥18 at 26 weeks (n = 55) showed a significant positive association between motor and somatosensory impairments, irrespective of progress of time. Conclusions. Progress of time, as a reflection of spontaneous neurobiological recovery, is an important factor that drives recovery of upper-limb motor as well as somatosensory impairments in the first 12 weeks poststroke. Severe somatosensory impairment at baseline does not directly compromise motor recovery. The study rather suggests that spontaneous recovery of somatosensory impairment is a prerequisite for full motor recovery of the upper paretic limb.
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Affiliation(s)
- Sarah B. Zandvliet
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Gert Kwakkel
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
- Department of Neurorehabilitation, Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands
| | - Rinske H. M. Nijland
- Department of Neurorehabilitation, Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, Netherlands
| | - Erwin E. H. van Wegen
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Carel G. M. Meskers
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
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13
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14
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Revet M, Immerzeel J, Voogt L, Paulis W. Patients with neuropsychological disorders short after stroke have worse functional outcome: a systematic review and meta-analysis. Disabil Rehabil 2019; 43:2233-2252. [PMID: 31766909 DOI: 10.1080/09638288.2019.1693642] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE To investigate if patients with neuropsychological disorders (neglect, aphasia, or cognitive dysfunction measured with the Mini-mental state examination) short after stroke have different functional outcome at follow-up compared to patients without these disorders. METHODS Embase, Medline-Ovid, PsycINFO, Cochrane CENTRAL, Web of Science and Google Scholar were systematically searched for cohort studies up to 3 March 2019. PRISMA guidelines were followed. Functional outcome had to be measured with the Barthel Index or the Functional Independence Measure. If at least three studies studying the same neuropsychological disorder reported functional outcome at comparable follow-up, meta-analysis were performed and the quality of evidence was assessed using GRADE. RESULTS The search resulted in 5398 unique articles and finally 27 articles were included. Pooled results show a standardized mean difference of -0.93 (95% confidence interval [-1.27 to -0.59]), indicating that the group with neglect short after stroke has significant lower functional outcome at follow-up. Regarding aphasia, the standardized mean difference was -0.50 (95% confidence interval [-0.72 to -0.28]). It appears in the limited articles available that patients with cognitive dysfunction have lower scores for functional outcome. CONCLUSIONS Patients with neglect or aphasia, especially aphasia with comprehension deficits, short after stroke have significant worse functional outcome.Implications for rehabilitationClinicians should perform an extensive screening for neglect, aphasia, and cognitive disorders to make sure to diagnose the different neuropsychological disorders correctly.When patients with neuropsychological disorders are referred for rehabilitation, it can be expected that they need a longer rehabilitation period or may never reach the same level of functioning.Clinicians should pay attention to instructions of training moments outside therapy and involve caregivers and patients family making these training moments more effective.
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Affiliation(s)
- Mirjam Revet
- Department of Physiotherapy Studies and Research Centre of Health Care Innovations, Rotterdam University of Applied Sciences, Rotterdam, The Netherlands
| | - Jeroen Immerzeel
- Department of Physiotherapy, De Zellingen - Rijckehove, Capelle aan den IJssel, The Netherlands
| | - Lennard Voogt
- Department of Physiotherapy Studies and Research Centre of Health Care Innovations, Rotterdam University of Applied Sciences, Rotterdam, The Netherlands
| | - Winifred Paulis
- Department of Physiotherapy Studies and Research Centre of Health Care Innovations, Rotterdam University of Applied Sciences, Rotterdam, The Netherlands
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15
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Kang K, Thaut MH. Musical Neglect Training for Chronic Persistent Unilateral Visual Neglect Post-stroke. Front Neurol 2019; 10:474. [PMID: 31139135 PMCID: PMC6517600 DOI: 10.3389/fneur.2019.00474] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/23/2019] [Indexed: 11/13/2022] Open
Abstract
Unilateral visual neglect from right hemispheric stroke is a condition that reduces a person's ability to attend to and process stimuli in their left visual field, resulting in neglect and inattention to the left side of their environment. This perceptual processing deficit can negatively affect individuals' daily living which in turn reduces functional independence. Musical Neglect Training (MNT) has been developed based on previous research evidence to improve left visual field processing. Two individuals with persistent chronic unilateral visual neglect participated in this study. Participants underwent six individual MNT sessions. Active MNT was used involving exercises on musical equipment (tone bars) to complete musical patterns emphasizing attentional focus toward the neglect visual field. Two standardized assessments (Albert's and Line Bisection Test) were used. The assessments were administered immediately before and after each of the 6 MNT sessions to assess the within-session effect of MNT. Follow-up testing was done 1 week after their 6th session to examine the longer-lasting effects of MNT. Paired t-test and Wilcoxon signed rank test were used to examine results. Both participants showed significant improvement pre vs. posttest on the Albert's Test but not on the Line Bisection Test. The current study presents the positive potential of MNT for patients with chronic persistent visual neglect. In particular, effects were shown for exploratory visuomotor neglect (Albert's test), but not for egocentric perceptive neglect (Line Bisection Test), and substantiated for within-session effects only. The predictable auditory stimulus patterns associated with object sequences (tone bars) to provide feedback, direct spatial attention and orientation, and initiate intention for movement into the neglect field may offer specific advantages to reduce persistent perceptual attention deficits.
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Affiliation(s)
- Kyurim Kang
- Music and Health Science Research Collaboratory (MaHRC), Faculty of Music, University of Toronto, Toronto, ON, Canada.,Collaborative Programs in Neuroscience (CPIN), University of Toronto, Toronto, ON, Canada
| | - Michael H Thaut
- Music and Health Science Research Collaboratory (MaHRC), Faculty of Music, University of Toronto, Toronto, ON, Canada.,Collaborative Programs in Neuroscience (CPIN), University of Toronto, Toronto, ON, Canada.,Rehabilitation Science Institute, University of Toronto, Toronto, ON, Canada
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16
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Benghanem S, Rosso C, Arbizu C, Moulton E, Dormont D, Leger A, Pires C, Samson Y. Aphasia outcome: the interactions between initial severity, lesion size and location. J Neurol 2019; 266:1303-1309. [DOI: 10.1007/s00415-019-09259-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/20/2019] [Accepted: 02/22/2019] [Indexed: 11/25/2022]
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17
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Nyffeler T, Vanbellingen T, Kaufmann BC, Pflugshaupt T, Bauer D, Frey J, Chechlacz M, Bohlhalter S, Müri RM, Nef T, Cazzoli D. Theta burst stimulation in neglect after stroke: functional outcome and response variability origins. Brain 2019; 142:992-1008. [DOI: 10.1093/brain/awz029] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 12/07/2018] [Accepted: 12/21/2018] [Indexed: 01/05/2023] Open
Affiliation(s)
- Thomas Nyffeler
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland
- Perception and Eye Movement Laboratory, Department of Neurology, University of Bern, Switzerland
- Neurocenter, Luzerner Kantonsspital, Switzerland
| | - Tim Vanbellingen
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland
- Perception and Eye Movement Laboratory, Department of Neurology, University of Bern, Switzerland
- Neurocenter, Luzerner Kantonsspital, Switzerland
| | - Brigitte C Kaufmann
- Perception and Eye Movement Laboratory, Department of Neurology, University of Bern, Switzerland
- Neurocenter, Luzerner Kantonsspital, Switzerland
| | | | - Daniel Bauer
- Neurocenter, Luzerner Kantonsspital, Switzerland
| | - Julia Frey
- Neurocenter, Luzerner Kantonsspital, Switzerland
| | | | | | - René M Müri
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland
- Perception and Eye Movement Laboratory, Department of Neurology, University of Bern, Switzerland
| | - Tobias Nef
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland
| | - Dario Cazzoli
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland
- Perception and Eye Movement Laboratory, Department of Neurology, University of Bern, Switzerland
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18
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Hope TMH, Friston K, Price CJ, Leff AP, Rotshtein P, Bowman H. Recovery after stroke: not so proportional after all? Brain 2019; 142:15-22. [PMID: 30535098 PMCID: PMC6308308 DOI: 10.1093/brain/awy302] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 10/02/2018] [Accepted: 10/17/2018] [Indexed: 01/16/2023] Open
Abstract
The proportional recovery rule asserts that most stroke survivors recover a fixed proportion of lost function. To the extent that this is true, recovery from stroke can be predicted accurately from baseline measures of acute post-stroke impairment alone. Reports that baseline scores explain more than 80%, and sometimes more than 90%, of the variance in the patients' recoveries, are rapidly accumulating. Here, we show that these headline effect sizes are likely inflated. The key effects in this literature are typically expressed as, or reducible to, correlation coefficients between baseline scores and recovery (outcome scores minus baseline scores). Using formal analyses and simulations, we show that these correlations will be extreme when outcomes are significantly less variable than baselines, which they often will be in practice regardless of the real relationship between outcomes and baselines. We show that these effect sizes are likely to be over-optimistic in every empirical study that we found that reported enough information for us to make the judgement, and argue that the same is likely to be true in other studies as well. The implication is that recovery after stroke may not be as proportional as recent studies suggest.
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Affiliation(s)
- Thomas M H Hope
- Wellcome Centre for Human Neuroimaging, University College London, UK
| | - Karl Friston
- Wellcome Centre for Human Neuroimaging, University College London, UK
| | - Cathy J Price
- Wellcome Centre for Human Neuroimaging, University College London, UK
| | - Alex P Leff
- Institute of Cognitive Neuroscience, University College London, UK
- Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, UK
| | | | - Howard Bowman
- School of Psychology, University of Birmingham, UK
- School of Computing, University of Kent, UK
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19
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Affiliation(s)
- Rachel L Hawe
- From the Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada (R.L.H., S.P.D.)
| | - Stephen H Scott
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada (S.H.S.)
| | - Sean P Dukelow
- From the Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada (R.L.H., S.P.D.)
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20
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Schapira AHV. Progress in neurology 2017-2018. Eur J Neurol 2018; 25:1389-1397. [DOI: 10.1111/ene.13846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- A. H. V. Schapira
- Department of Clinical and Movement Neurosciences; UCL Queen Square Institute of Neurology; London UK
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21
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Winters C, Kwakkel G, van Wegen EE, Nijland RH, Veerbeek JM, Meskers CG. Moving stroke rehabilitation forward: The need to change research. NeuroRehabilitation 2018; 43:19-30. [DOI: 10.3233/nre-172393] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Caroline Winters
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
| | - Gert Kwakkel
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
- Rehabilitation Research Center, Reade, Amsterdam, The Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Erwin E.H. van Wegen
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
| | | | - Janne M. Veerbeek
- Department of Neurology, Division of Vascular Neurology and Neurorehabilitation, University Hospital and University of Zurich, Switzerland
- cereneo - Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Carel G.M. Meskers
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
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22
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Boccuni L, Meyer S, Kessner SS, De Bruyn N, Essers B, Cheng B, Thomalla G, Peeters A, Sunaert S, Duprez T, Marinelli L, Trompetto C, Thijs V, Verheyden G. Is There Full or Proportional Somatosensory Recovery in the Upper Limb After Stroke? Investigating Behavioral Outcome and Neural Correlates. Neurorehabil Neural Repair 2018; 32:691-700. [PMID: 29991331 DOI: 10.1177/1545968318787060] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Proportional motor recovery in the upper limb has been investigated, indicating about 70% of the potential for recovery of motor impairment within the first months poststroke. OBJECTIVE To investigate whether the proportional recovery rule is applicable for upper-limb somatosensory impairment and to study underlying neural correlates of impairment and outcome at 6 months. METHODS A total of 32 patients were evaluated at 4 to 7 days and 6 months using the Erasmus MC modification of the revised Nottingham Sensory Assessment (NSA) for impairment of (1) somatosensory perception (exteroception) and (2) passive somatosensory processing (sharp/blunt discrimination and proprioception); (3) active somatosensory processing was evaluated using the stereognosis component of the NSA. Magnetic resonance imaging scans were obtained within 1 week poststroke, from which lesion load (LL) was calculated for key somatosensory tracts. RESULTS Somatosensory perception fully recovered within 6 months. Passive and active somatosensory processing showed proportional recovery of 86% (95% CI = 79%-93%) and 69% (95% CI = 49%-89%), respectively. Patients with somatosensory impairment at 4 to 7 days showed significantly greater thalamocortical and insulo-opercular tracts (TCT and IOT) LL ( P < .05) in comparison to patients without impairment. Sensorimotor tract disruption at 4 to 7 days did not provide significant contribution above somatosensory processing score at 4 to 7 days when predicting somatosensory processing outcome at 6 months. CONCLUSIONS Our sample of stroke patients assessed early showed full somatosensory perception but proportional passive and active somatosensory processing recovery. Disruption of both the TCT and IOT early after stroke appears to be a factor associated with somatosensory impairment but not outcome.
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Affiliation(s)
- Leonardo Boccuni
- 1 KU Leuven - University of Leuven, Department of Rehabilitation Sciences, Leuven, Belgium.,2 University of Genova, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Genova, Italy
| | - Sarah Meyer
- 1 KU Leuven - University of Leuven, Department of Rehabilitation Sciences, Leuven, Belgium
| | - Simon S Kessner
- 3 University Medical Center Hamburg-Eppendorf, Department of Neurology, Hamburg, Germany
| | - Nele De Bruyn
- 1 KU Leuven - University of Leuven, Department of Rehabilitation Sciences, Leuven, Belgium
| | - Bea Essers
- 1 KU Leuven - University of Leuven, Department of Rehabilitation Sciences, Leuven, Belgium
| | - Bastian Cheng
- 3 University Medical Center Hamburg-Eppendorf, Department of Neurology, Hamburg, Germany
| | - Götz Thomalla
- 3 University Medical Center Hamburg-Eppendorf, Department of Neurology, Hamburg, Germany
| | - André Peeters
- 4 Cliniques Universitaires Saint-Luc, Department of Neurology, Brussels, Belgium
| | - Stefan Sunaert
- 5 KU Leuven - University of Leuven, Department of Imaging and Pathology, Leuven, Belgium; University Hospitals Leuven, Department of Radiology, Leuven, Belgium
| | - Thierry Duprez
- 6 Cliniques Universitaires Saint-Luc, Department of Radiology, Brussels, Belgium
| | - Lucio Marinelli
- 2 University of Genova, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Genova, Italy.,7 Department of Neuroscience, Ospedale Policlinico San Martino, Genova, Italy
| | - Carlo Trompetto
- 2 University of Genova, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Genova, Italy.,7 Department of Neuroscience, Ospedale Policlinico San Martino, Genova, Italy
| | - Vincent Thijs
- 8 University of Melbourne, Florey Institute of Neuroscience and Mental Health, Victoria, Australia; Department of Neurology, Austin Health, Victoria, Australia
| | - Geert Verheyden
- 1 KU Leuven - University of Leuven, Department of Rehabilitation Sciences, Leuven, Belgium
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23
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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] [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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24
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Stinear CM. Prediction of motor recovery after stroke: advances in biomarkers. Lancet Neurol 2017; 16:826-836. [DOI: 10.1016/s1474-4422(17)30283-1] [Citation(s) in RCA: 158] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 07/10/2017] [Accepted: 07/11/2017] [Indexed: 12/13/2022]
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