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Cabanas-Valdés R, Calvo-Sanz J, Urrùtia G, Serra-Llobet P, Pérez-Bellmunt A, Germán-Romero A. The effectiveness of extracorporeal shock wave therapy to reduce lower limb spasticity in stroke patients: a systematic review and meta-analysis. Top Stroke Rehabil 2019; 27:137-157. [DOI: 10.1080/10749357.2019.1654242] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Rosa Cabanas-Valdés
- Physiotherapy Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Jordi Calvo-Sanz
- Physiotherapy Department Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
- Rehabilitation Department, Hospital Asepeyo Sant Cugat del Vallès, Barcelona, Spain
| | - Gerard Urrùtia
- Centro Cochrane Iberoamericano, Institut d’Investigació Biomèdica Sant Pau, CIBERESP, Barcelona, Spain
| | - Pol Serra-Llobet
- Physiotherapy Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
| | | | - Ana Germán-Romero
- Physiotherapy Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
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102
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Wang H, Xu G, Wang X, Sun C, Zhu B, Fan M, Jia J, Guo X, Sun L. The Reorganization of Resting-State Brain Networks Associated With Motor Imagery Training in Chronic Stroke Patients. IEEE Trans Neural Syst Rehabil Eng 2019; 27:2237-2245. [DOI: 10.1109/tnsre.2019.2940980] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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103
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Ktena SI, Schirmer MD, Etherton MR, Giese AK, Tuozzo C, Mills BB, Rueckert D, Wu O, Rost NS. Brain Connectivity Measures Improve Modeling of Functional Outcome After Acute Ischemic Stroke. Stroke 2019; 50:2761-2767. [PMID: 31510905 PMCID: PMC6756947 DOI: 10.1161/strokeaha.119.025738] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background and Purpose- The ability to model long-term functional outcomes after acute ischemic stroke represents a major clinical challenge. One approach to potentially improve prediction modeling involves the analysis of connectomics. The field of connectomics represents the brain's connectivity as a graph, whose topological properties have helped uncover underlying mechanisms of brain function in health and disease. Specifically, we assessed the impact of stroke lesions on rich club organization, a high capacity backbone system of brain function. Methods- In a hospital-based cohort of 41 acute ischemic stroke patients, we investigated the effect of acute infarcts on the brain's prestroke rich club backbone and poststroke functional connectomes with respect to poststroke outcome. Functional connectomes were created using 3 anatomic atlases, and characteristic path-length (L) was calculated for each connectome. The number of rich club regions affected were manually determined using each patient's diffusion weighted image. We investigated differences in L with respect to outcome (modified Rankin Scale score; 90 days) and the National Institutes of Health Stroke Scale (NIHSS; early: 2-5 days; late: 90-day follow-up). Furthermore, we assessed the effect of including number of rich club regions and L in outcome models, using linear regression and assessing the explained variance (R2). Results- Of 41 patients (mean age [range]: 70 [45-89] years), 61% were male. Lower L was generally associated with better outcome. Including number of rich club regions in the backward selection models of outcome, R2 increased between 1.3- and 2.6-fold beyond that of traditional markers (age and acute lesion volume) for NIHSS and modified Rankin Scale score. Conclusions- In this proof-of-concept study, we showed that information on network topology can be leveraged to improve modeling of poststroke functional outcome. Future studies are warranted to validate this approach in larger prospective studies of outcome prediction in stroke.
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Affiliation(s)
- Sofia Ira Ktena
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, United Kingdom (S.I.K., D.R.)
| | - Markus D Schirmer
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge (M.D.S.)
- Department of Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany (M.D.S.)
| | - Mark R Etherton
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
| | - Anne-Katrin Giese
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
| | - Carissa Tuozzo
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
| | - Brittany B Mills
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, United Kingdom (S.I.K., D.R.)
| | - Ona Wu
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown (O.W.)
| | - Natalia S Rost
- From the Stroke Division and Massachusetts General Hospital, J. Philip Kistler Stroke Research Center, Harvard Medical School, Boston (S.I.K., M.D.S., M.R.E., A.-K.G., C.T., B.B.M., N.S.R.)
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104
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Bayrak Ş, Khalil AA, Villringer K, Fiebach JB, Villringer A, Margulies DS, Ovadia-Caro S. The impact of ischemic stroke on connectivity gradients. Neuroimage Clin 2019; 24:101947. [PMID: 31376644 PMCID: PMC6676042 DOI: 10.1016/j.nicl.2019.101947] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 07/08/2019] [Accepted: 07/17/2019] [Indexed: 11/19/2022]
Abstract
The functional organization of the brain can be represented as a low-dimensional space that reflects its macroscale hierarchy. The dimensions of this space, described as connectivity gradients, capture the similarity of areas' connections along a continuous space. Studying how pathological perturbations with known effects on functional connectivity affect these connectivity gradients provides support for their biological relevance. Previous work has shown that localized lesions cause widespread functional connectivity alterations in structurally intact areas, affecting a network of interconnected regions. By using acute stroke as a model of the effects of focal lesions on the connectome, we apply the connectivity gradient framework to depict how functional reorganization occurs throughout the brain, unrestricted by traditional definitions of functional network boundaries. We define a three-dimensional connectivity space template based on functional connectivity data from healthy controls. By projecting lesion locations into this space, we demonstrate that ischemic strokes result in dimension-specific alterations in functional connectivity over the first week after symptom onset. Specifically, changes in functional connectivity were captured along connectivity Gradients 1 and 3. The degree of functional connectivity change was associated with the distance from the lesion along these connectivity gradients (a measure of functional similarity) regardless of the anatomical distance from the lesion. Together, these results provide support for the biological validity of connectivity gradients and suggest a novel framework to characterize connectivity alterations after stroke.
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Affiliation(s)
- Şeyma Bayrak
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department of Cognitive Neurology, University Hospital Leipzig and Faculty of Medicine, University of Leipzig, Leipzig, Germany
| | - Ahmed A Khalil
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kersten Villringer
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jochen B Fiebach
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department of Cognitive Neurology, University Hospital Leipzig and Faculty of Medicine, University of Leipzig, Leipzig, Germany; Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Daniel S Margulies
- Centre National de la Recherche Scientifique (CNRS) UMR 7225, Frontlab, Institut du Cerveau et de la Moelle épinière, Paris, France.
| | - Smadar Ovadia-Caro
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Neurology, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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105
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Ip Z, Rabiller G, He JW, Yao Z, Akamatsu Y, Nishijima Y, Liu J, Yazdan-Shahmorad A. Cortical stroke affects activity and stability of theta/delta states in remote hippocampal regions .. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2019:5225-5228. [PMID: 31947036 PMCID: PMC8523210 DOI: 10.1109/embc.2019.8857679] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Cognitive impairment is a common outcome of ischemic stroke. Our previous work has shown that an experimental stroke in the cortex reduces activity in remote hippocampal layers in rats. This study seeks to uncover the underlying functional connections between these areas by analyzing changes to oscillatory activity, signal power, and communication. We induced an ischemic stroke in the left somatosensory cortex of rats and used linear micro-electrode arrays to simultaneously record from cortex and hippocampus under urethane anesthesia at two weeks and one month after stroke. We found significant increase in signal power, as well as an increase in the number of brain state changes in response to stroke. Our results suggest that the cortex modulates the activity and stability of hippocampal oscillations, which is disrupted following cortical stroke that can lead to cognitive impairment.
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106
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Kalinosky BT, Vinehout K, Sotelo MR, Hyngstrom AS, Schmit BD. Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke. Front Neurol 2019; 10:609. [PMID: 31263444 PMCID: PMC6585311 DOI: 10.3389/fneur.2019.00609] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/23/2019] [Indexed: 01/07/2023] Open
Abstract
In this study we documented brain connectivity associated with multisensory integration during wrist control in healthy young adults, aged matched controls and stroke survivors. A novel functional MRI task paradigm involving wrist movement was developed to gain insight into the effects of multimodal sensory feedback on brain functional networks in stroke participants. This paradigm consisted of an intermittent position search task using the wrist during fMRI signal acquisition with visual and auditory feedback of proximity to a target position. We enrolled 12 young adults, 10 participants with chronic post-stroke hemiparesis, and nine age-matched controls. Activation maps were obtained, and functional connectivity networks were calculated using an independent component analysis (ICA) approach. Task-based networks were identified using activation maps, and nodes were obtained from the ICA components. These nodes were subsequently used for connectivity analyses. Stroke participants demonstrated significantly greater contralesional activation than controls during the visual feedback condition and less ipsilesional activity than controls during the auditory feedback condition. The sensorimotor component obtained from the ICA differed between rest and task for control and stroke participants: task-related lateralization to the contralateral cortex was observed in controls, but not in stroke participants. Connectivity analyses between the lesioned sensorimotor cortex and the contralesional cerebellum demonstrated decreased functional connectivity in stroke participants (p < 0.005), which was positively correlated the Box and Blocks arm function test (r2 = 0.59). These results suggest that task-based functional connectivity provides detail on changes in brain networks in stroke survivors. The data also highlight the importance of cerebellar connections for recovery of arm function after stroke.
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Affiliation(s)
- Benjamin T Kalinosky
- Integrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United States
| | - Kaleb Vinehout
- Integrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United States
| | - Miguel R Sotelo
- Integrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United States
| | - Allison S Hyngstrom
- Integrative Neural Engineering and Rehabilitation Laboratory, Department of Physical Therapy, Marquette University, Milwaukee, WI, United States
| | - Brian D Schmit
- Integrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United States
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107
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Ailion AS, Roberts SR, Crosson B, King TZ. Neuroimaging of the component white matter connections and structures within the cerebellar-frontal pathway in posterior fossa tumor survivors. NEUROIMAGE-CLINICAL 2019; 23:101894. [PMID: 31229941 PMCID: PMC6593203 DOI: 10.1016/j.nicl.2019.101894] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/07/2019] [Accepted: 06/08/2019] [Indexed: 12/11/2022]
Abstract
Introduction In posterior fossa tumor survivors, lower white matter integrity (WMI) in the right cerebellar-left frontal pathway has been well documented and appears to be related to proximity to the cerebellum, radiation treatment, as well as time since treatment in both cranial radiation and surgery-only treatment groups. The current study investigated theories of transneural degeneration following cerebellar tumor resection that may underlie or relate to reductions in WMI and regional brain volumes using correlations. We hypothesized a positive relationship between the volume of the right cerebellum and known white matter output pathways, as well as with the volume of structures that receive cerebellar projections along the pathway. Methods Adult survivors of childhood brain tumors were recruited (n = 29; age, M = 22 years, SD = 5; 45% female). Age- and gender-matched controls were also included (n = 29). Participants completed 3 T diffusion-weighted and T1 MPRAGE MRI scans. Brain structure volume relative to intracranial vault served as regional volumetric measures. Fractional anisotropy (FA) and radial diffusivity (RD) served as WMI measures. In the survivor group, partial correlations between WMI and regional volume included controlling for disease severity. Results In posterior fossa tumor survivors, the volumes of the cerebellum, thalamus, and frontal lobe were correlated with WMI of the thalamic-frontal segment of the cerebellar-frontal pathway (r = 0.41–0.49, p < .05). Cerebellar atrophy was correlated with reduced WMI in the cerebellar-rubral segment (FA, r = −0.32 p > .05; RD, r = 0.53, p < .01). In the no-radiation survivor group, the regional volume of each structure along the pathway was associated with WMI in the cerebellar-rubral segment. In the radiation survivor group, significant correlations were found between the regional brain volume of each structure and the thalamic-frontal segment of the pathway. Discussion The results of this multimodal neuroimaging study provide correlational evidence that the mechanism of injury subsequent to brain tumor treatment may be different depending on type of treatment(s). Without radiation, the primary mechanism of injury is cerebellar tumor growth, resection, and hydrocephalus. Therefore, the most proximal connection to that injury (cerebellar-rubral pathway) was correlated with reductions in volume along the pathway. In contrast, the survivor group treated with radiation may have had possible radiation-induced demyelination of the thalamic-frontal portion of the pathway, based on a strong correlation with volume loss in the cerebellum, red nucleus, thalamus, and frontal lobe. Cerebellar atrophy predicted lower white matter integrity (WMI) in the cerebellar-rubral segment. The no-radiation group showed a correlational pattern that is consistent with possible transneural degeneration. The radiation group showed a correlational pattern consistent with theories of neurodevelopmental vulnerability to radiation-induced demyelination.
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Affiliation(s)
- Alyssa S Ailion
- Department of Psychology, the Neuroscience Institute, Georgia State University, United States of America
| | - Simone Renée Roberts
- Department of Psychology, the Neuroscience Institute, Georgia State University, United States of America; Department of Neurology, Emory University School of Medicine, United States of America; Atlanta VA Center of Excellence for Visual and Neurocognitive Rehabilitation, United States of America
| | - Bruce Crosson
- Department of Psychology, the Neuroscience Institute, Georgia State University, United States of America; Department of Radiology and Imaging Sciences, Emory University School of Medicine, United States of America; Department of Neurology, Emory University School of Medicine, United States of America; Atlanta VA Center of Excellence for Visual and Neurocognitive Rehabilitation, United States of America
| | - Tricia Z King
- Department of Psychology, the Neuroscience Institute, Georgia State University, United States of America.
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108
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Differences in structural and functional networks between young adult and aged rat brains before and after stroke lesion simulations. Neurobiol Dis 2019; 126:23-35. [DOI: 10.1016/j.nbd.2018.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/17/2018] [Accepted: 08/03/2018] [Indexed: 01/09/2023] Open
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109
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Robinson PA. Neural field theory of effects of brain modifications and lesions on functional connectivity: Acute effects, short-term homeostasis, and long-term plasticity. Phys Rev E 2019; 99:042407. [PMID: 31108595 DOI: 10.1103/physreve.99.042407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Indexed: 11/07/2022]
Abstract
Neural field theory is used to predict the functional connectivity effects of lesions or other modifications to effective connectivity. Widespread initial changes are predicted after localized or diffuse changes to white or gray matter, consistent with observations, and enabling lesion severity indexes to be defined. It is shown how short-term homeostasis and longer-term plasticity can reduce perturbations while maintaining brain criticality under conditions where some connections remain fixed because of damage in the lesion core. The extent to which such effects can compensate for initial connectivity changes is then explored, showing that the strongest corrective changes are concentrated toward the edges of the perturbation if it is localized and its core is fixed. The results are applicable to inferring underlying connectivity changes and to interpreting and monitoring functional connectivity modifications after lesions, injury, surgery, drugs, or brain stimulation.
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Affiliation(s)
- P A Robinson
- School of Physics, University of Sydney, New South Wales 2006, Australia and Center for Integrative Brain Function, University of Sydney, New South Wales 2006, Australia
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110
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Different Brain Connectivity between Responders and Nonresponders to Dual-Mode Noninvasive Brain Stimulation over Bilateral Primary Motor Cortices in Stroke Patients. Neural Plast 2019; 2019:3826495. [PMID: 31093270 PMCID: PMC6476041 DOI: 10.1155/2019/3826495] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/23/2019] [Accepted: 02/18/2019] [Indexed: 12/16/2022] Open
Abstract
Noninvasive brain stimulation (NBS), such as repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS), has been used in stroke patients with motor impairment. NBS can help recovery from brain damage by modulating cortical excitability. However, the efficacy of NBS varies among individuals. To obtain insights of responsiveness to the efficacy of NBS, we investigated characteristic changes of the motor network in responders and nonresponders of NBS over the primary motor cortex (M1). A total of 21 patients with subacute stroke (13 males, mean age 59.6 ± 11.5 years) received NBS in the same manner: 1 Hz rTMS on the contralesional M1 and anodal tDCS on the ipsilesional M1. Participants were classified into responders and nonresponders based on the functional improvement of the affected upper extremity after applying NBS. Twelve age-matched healthy controls (8 males, mean age 56.1 ± 14.3 years) were also recruited. Motor networks were constructed using resting-state functional magnetic resonance imaging. M1 intrahemispheric connectivity, interhemispheric connectivity, and network efficiency were measured to investigate differences in network characteristics between groups. The motor network characteristics were found to differ between both groups. Specifically, M1 intrahemispheric connectivity in responders showed a noticeable imbalance between affected and unaffected hemispheres, which was markedly restored after NBS. The responders also showed greater interhemispheric connectivity and higher efficiency of the motor network than the nonresponders. These results may provide insight on patient-specific NBS treatment based on the brain network characteristics in neurorehabilitation of patients with stroke. This trial is registered with trial registration number NCT03390192.
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111
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Kiran S, Thompson CK. Neuroplasticity of Language Networks in Aphasia: Advances, Updates, and Future Challenges. Front Neurol 2019; 10:295. [PMID: 31001187 PMCID: PMC6454116 DOI: 10.3389/fneur.2019.00295] [Citation(s) in RCA: 120] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 03/06/2019] [Indexed: 11/13/2022] Open
Abstract
Researchers have sought to understand how language is processed in the brain, how brain damage affects language abilities, and what can be expected during the recovery period since the early 19th century. In this review, we first discuss mechanisms of damage and plasticity in the post-stroke brain, both in the acute and the chronic phase of recovery. We then review factors that are associated with recovery. First, we review organism intrinsic variables such as age, lesion volume and location and structural integrity that influence language recovery. Next, we review organism extrinsic factors such as treatment that influence language recovery. Here, we discuss recent advances in our understanding of language recovery and highlight recent work that emphasizes a network perspective of language recovery. Finally, we propose our interpretation of the principles of neuroplasticity, originally proposed by Kleim and Jones (1) in the context of extant literature in aphasia recovery and rehabilitation. Ultimately, we encourage researchers to propose sophisticated intervention studies that bring us closer to the goal of providing precision treatment for patients with aphasia and a better understanding of the neural mechanisms that underlie successful neuroplasticity.
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Affiliation(s)
- Swathi Kiran
- Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Cynthia K. Thompson
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States
- Department of Neurology, The Cognitive Neurology and Alzheimer's Disease Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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112
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Lotze M, Ladda AM, Stephan KM. Cerebral plasticity as the basis for upper limb recovery following brain damage. Neurosci Biobehav Rev 2019; 99:49-58. [DOI: 10.1016/j.neubiorev.2019.01.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 01/28/2019] [Accepted: 01/29/2019] [Indexed: 01/05/2023]
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113
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Nierhaus T, Chang Y, Liu B, Shi X, Yi M, Witt CM, Pach D. Somatosensory Stimulation With XNKQ Acupuncture Modulates Functional Connectivity of Motor Areas. Front Neurosci 2019; 13:147. [PMID: 30914909 PMCID: PMC6421982 DOI: 10.3389/fnins.2019.00147] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 02/08/2019] [Indexed: 01/10/2023] Open
Abstract
Xingnao Kaiqiao (XNKQ) acupuncture is an acupuncture technique used for stroke patients. In 24 healthy volunteers, we applied this complex acupuncture intervention, which consists of a manual needle-stimulation on five acupuncture points (DU26 unilaterally, PC6, and SP6 bilaterally). XNKQ was compared to three control conditions: (1) insertion of needles on the XNKQ acupuncture points without stimulation, (2) manual needle-stimulation on five nearby non-acupuncture points, and (3) insertion of needles on the non-acupuncture points without stimulation. In a within-subject design, we investigated functional connectivity changes in resting-state functional magnetic resonance imaging (fMRI) by means of the data-driven eigenvector centrality (EC) approach. With a 2 × 2 factorial within-subjects design with two-factor stimulation (stimulation vs. non-stimulation) and location (acupuncture points vs. non-acupuncture points), we found decreased EC in the precuneus after needle-stimulation (stimulation<non-stimulation), whereas the factor location showed no statistically significant EC differences. XNKQ acupuncture compared with needle-stimulation on non-acupuncture points showed decreased EC primarily in subcortical structures such as the caudate nucleus, subthalamic nucleus, and red nucleus. Post-hoc seed-based analysis revealed that the decrease in EC was mainly driven by reduced temporal correlation to primary sensorimotor cortices. The comparison of XNKQ acupuncture with the other two (non-stimulation) interventions showed no significant differences in EC. Our findings support the importance of the stimulation component of the acupuncture intervention and hint toward the modulation of functional connectivity by XNKQ acupuncture, especially in areas involved in motor function. As a next step, similar mechanisms should be validated in stroke patients suffering from motor deficits. ClinicalTrials.gov ID: NCT02453906
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Affiliation(s)
- Till Nierhaus
- Neurocomputation and Neuroimaging Unit, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Yinghui Chang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute for Social Medicine, Epidemiology and Health Economics, Berlin, Germany
| | - Bin Liu
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuemin Shi
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ming Yi
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China.,Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, China
| | - Claudia M Witt
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute for Social Medicine, Epidemiology and Health Economics, Berlin, Germany.,Institute for Complementary and Integrative Medicine, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Daniel Pach
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute for Social Medicine, Epidemiology and Health Economics, Berlin, Germany.,Institute for Complementary and Integrative Medicine, University of Zurich and University Hospital Zurich, Zurich, Switzerland
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114
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Xiang H, Sun J, Tang X, Zeng K, Wu X. The effect and optimal parameters of repetitive transcranial magnetic stimulation on motor recovery in stroke patients: a systematic review and meta-analysis of randomized controlled trials. Clin Rehabil 2019; 33:847-864. [PMID: 30773896 DOI: 10.1177/0269215519829897] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The primary aim of this meta-analysis was to evaluate the effects of repetitive transcranial magnetic stimulation (rTMS) on limb movement recovery post-stroke and cortex excitability, to explore the optimal parameters of rTMS and suitable stroke population. Second, adverse events were also included. DATA SOURCES The databases of PubMed, EBSCO, MEDLINE, the Cochrane Central Register of Controlled Trials, EBM Reviews-Cochrane Database, the Chinese National Knowledge Infrastructure, and the Chinese Science and Technology Journals Database were searched for randomized controlled trials exploring the effects of rTMS on limb motor function recovery post-stroke before December 2018. REVIEW METHODS The effect sizes of rTMS on limb motor recovery, the effect size of rTMS stimulation parameters, and different stroke population were summarized by calculating the standardized mean difference (SMD) and the 95% confidence interval using fixed/random effect models as appropriate. RESULTS For the motor function assessment, 42 eligible studies involving 1168 stroke patients were identified. The summary effect size indicated that rTMS had positive effects on limb motor recovery (SMD = 0.50, P < 0.00001) and activities of daily living (SMD = 0.82, P < 0.00001), and motor-evoked potentials of the stimulated hemisphere differed according to the stimulation frequency, that is, the high-frequency group (SMD = 0.57, P = 0.0006), except the low-frequency group (SMD = -0.27, P = 0.05). No significant differences were observed among the stimulation parameter subgroups except for the sessions subgroup ( P = 0.02). Only 10 included articles reported transient mild discomfort after rTMS. CONCLUSIONS rTMS promoted the recovery of limb motor function and changed the cortex excitability. rTMS may be better for early and pure subcortical stroke patients. Regarding different stimulation parameters, the number of stimulation sessions has an impact on the effect of rTMS.
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Affiliation(s)
- Huifang Xiang
- 1 Department of Rehabilitation Medicine, Chonggang General Hospital, Chongqing, China
| | - Jing Sun
- 2 Department of Gastrointestinal Neonatal Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xiang Tang
- 3 Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kebin Zeng
- 3 Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiushu Wu
- 3 Department of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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115
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Schulz R, Runge CG, Bönstrup M, Cheng B, Gerloff C, Thomalla G, Hummel FC. Prefrontal-Premotor Pathways and Motor Output in Well-Recovered Stroke Patients. Front Neurol 2019; 10:105. [PMID: 30837935 PMCID: PMC6382735 DOI: 10.3389/fneur.2019.00105] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 01/28/2019] [Indexed: 12/17/2022] Open
Abstract
Structural brain imaging has continuously furthered our knowledge how different pathways of the human motor system contribute to residual motor output in stroke patients. Tract-related microstructure of pathways between primary and premotor areas has been found to critically influence motor output. The motor network is not restricted in connectivity to motor and premotor areas but these brain regions are densely interconnected with prefrontal regions such as the dorsolateral (DLPFC) and ventrolateral (VLPFC) prefrontal cortex. So far, the available data about the topography of such direct pathways and their microstructural properties in humans are sparse. To what extent prefrontal-premotor connections might also relate to residual motor outcome after stroke is still an open question. The present study was designed to address this issue of structural connectivity of prefrontal-premotor pathways in 26 healthy, older participants (66 ± 10 years old, 15 male) and 30 well-recovered chronic stroke patients (64 ± 10 years old, 21 males). Probabilistic tractography was used to reconstruct direct fiber tracts between DLPFC and VLPFC and three premotor areas (dorsal and ventral premotor cortex and the supplementary motor area). Direct connections between DLPFC/VLPFC and the primary motor cortex were also tested. Tract-related microstructure was estimated for each specific tract by means of fractional anisotropy and alternative diffusion metrics. These measures were compared between the groups and related to residual motor outcome in the stroke patients. Direct prefrontal-premotor trajectories were successfully traceable in both groups. Similar in gross anatomic topography, stroke patients presented only marginal microstructural alterations of these tracts, predominantly of the affected hemisphere. However, there was no clear evidence for a significant association between tract-related microstructure of prefrontal-premotor connections and residual motor functions in the present group of well-recovered stroke patients. Direct prefrontal-motor connections between DLPFC/VLPFC and the primary motor cortex could not be reconstructed in the present healthy participants and stroke patients.
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Affiliation(s)
- Robert Schulz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Clemens G Runge
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Marlene Bönstrup
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Friedhelm C Hummel
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics and Brain Mind Institute, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.,Defitech Chair of Clinical Neuroengineering, Clinique Romande de Réadaptation, Center for Neuroprosthetics and Brain Mind Institute, Swiss Federal Institute of Technology Valais (EPFL Valais), Sion, Switzerland.,Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland
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Acupuncture Enhances Communication between Cortices with Damaged White Matters in Poststroke Motor Impairment. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2019; 2019:4245753. [PMID: 30719060 PMCID: PMC6334314 DOI: 10.1155/2019/4245753] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 11/30/2018] [Accepted: 12/06/2018] [Indexed: 11/17/2022]
Abstract
Stroke is a leading cause of motor disability. Acupuncture is an effective therapeutic strategy for poststroke motor impairment. However, its mechanism is still elusive. Twenty-two stroke patients having a right-hemispheric subcortical infarct and 22 matched healthy controls were recruited to undergo diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) scanning. The resting-state fMRI was implemented before and after needling at GB34 (Yanglingquan). The stroke patients presented a substantially reduced fractional anisotropy value in the right superior longitudinal fasciculus (SLF), corticospinal tract, and corpus callosum. The structural integrity of the frontoparietal part of the SLF (SLF-FP) correlated with the motor scores of lower limbs in stroke patients. This corticocortical association bundle originated from the premotor cortex (PM) and the adjacent supplementary motor area (SMA), known as secondary motor areas, and terminated in the supramarginal gyrus (SMG). After acupuncture intervention, the corresponding functional connectivity between the PM/SMA and SMG was enhanced in stroke patients compared with healthy controls. These findings suggested that the integrity of the SLF is a potential neuroimaging biomarker for motor disability of lower limbs following a stroke. Acupuncture could increase the communication between the cortices connected by the impaired white matter tracts, implying the neural mechanism underlying the acupuncture intervention.
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117
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Lotan E, Tavor I, Barazany D, Ben-Amitay S, Hoffmann C, Tsarfaty G, Assaf Y, Tanne D. Selective atrophy of the connected deepest cortical layers following small subcortical infarct. Neurology 2019; 92:e567-e575. [PMID: 30635479 DOI: 10.1212/wnl.0000000000006884] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 10/02/2018] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE To explore whether in patients with chronic small subcortical infarct the cortical layers of the connected cortex are differentially affected and whether these differences correlate with clinical symptomatology. METHODS Twenty patients with a history of chronic small subcortical infarct affecting the corticospinal tracts and 15 healthy controls were included. Connected primary motor cortex was identified with tractography starting from infarct. T1-component probability maps were calculated from T1 relaxation 3T MRI, dividing the cortex into 5 laminar gaussian classes. RESULTS Focal cortical thinning was observed in the connected cortex and specifically only in its deepest laminar class compared to the nonaffected mirrored cortex (p < 0.001). There was loss of microstructural integrity of the affected corticospinal tract with increased mean diffusivity and decreased fractional anisotropy compared to the contralateral nonaffected tract (p ≤ 0.002). Clinical scores were correlated with microstructural damage of the corticospinal tracts and with thinning of the cortex and specifically only its deepest laminar class (p < 0.001). No differences were found in the laminar thickness pattern of the bilateral primary motor cortices or in the microstructural integrity of the bilateral corticospinal tracts in the healthy controls. CONCLUSION Our results support the concept of secondary neurodegeneration of connected primary motor cortex after a small subcortical infarct affecting the corticospinal tract, with observations that the main cortical thinning occurs in the deepest cortex and that the clinical symptomatology is correlated with this cortical atrophy pattern. Our findings may contribute to a better understanding of structural reorganization and functional outcomes after stroke.
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Affiliation(s)
- Eyal Lotan
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - Ido Tavor
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - Daniel Barazany
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - Shani Ben-Amitay
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - Chen Hoffmann
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - Galia Tsarfaty
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - Yaniv Assaf
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel
| | - David Tanne
- From the Department of Diagnostic Imaging (E.L., I.T., C.H., G.T.) and Stroke Center (D.T.), Department of Neurology and Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Ramat Gan; and Sackler Faculty of Medicine (E.L., I.T., C.H., G.T., D.T.), Sagol School of Neuroscience (I.T., Y.A.), Strauss Center for Computational Neuroimaging (D.B.), and Department of Neurobiology (S.B.-A., Y.A.), George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.
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Mehler DMA, Williams AN, Krause F, Lührs M, Wise RG, Turner DL, Linden DEJ, Whittaker JR. The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback. Neuroimage 2019; 184:36-44. [PMID: 30205210 PMCID: PMC6264383 DOI: 10.1016/j.neuroimage.2018.09.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 08/02/2018] [Accepted: 09/04/2018] [Indexed: 01/28/2023] Open
Abstract
There is increasing interest in exploring the use of functional MRI neurofeedback (fMRI-NF) as a therapeutic technique for a range of neurological conditions such as stroke and Parkinson's disease (PD). One main therapeutic potential of fMRI-NF is to enhance volitional control of damaged or dysfunctional neural nodes and networks via a closed-loop feedback model using mental imagery as the catalyst of self-regulation. The choice of target node/network and direction of regulation (increase or decrease activity) are central design considerations in fMRI-NF studies. Whilst it remains unclear whether the primary motor cortex (M1) can be activated during motor imagery, the supplementary motor area (SMA) has been robustly activated during motor imagery. Such differences in the regulation potential between primary and supplementary motor cortex are important because these areas can be differentially affected by a stroke or PD, and the choice of fMRI-NF target and grade of self-regulation of activity likely have substantial influence on the clinical effects and cost effectiveness of NF-based interventions. In this study we therefore investigated firstly whether healthy subjects would be able to achieve self-regulation of the hand-representation areas of M1 and the SMA using fMRI-NF training. There was a significant decrease in M1 neural activity during fMRI-NF, whereas SMA neural activity was increased, albeit not with the predicated graded effect. This study has important implications for fMRI-NF protocols that employ motor imagery to modulate activity in specific target regions of the brain and to determine how they may be tailored for neurorehabilitation.
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Affiliation(s)
- David M A Mehler
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, CF24 4HQ, United Kingdom; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom
| | - Angharad N Williams
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom
| | - Florian Krause
- Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands
| | - Michael Lührs
- Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands; Brain Innovation B.V, Oxfordlaan 55, 6229 EV, Maastricht, The Netherlands
| | - Richard G Wise
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom
| | - Duncan L Turner
- Neurorehabilitation Unit, School of Health, Sport and Bioscience, University of East London, London, E15 4LZ, United Kingdom
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, CF24 4HQ, United Kingdom; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands
| | - Joseph R Whittaker
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, United Kingdom; School of Physics and Astronomy, Cardiff University, Cardiff, CF24 3AA, United Kingdom.
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119
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Shan Y, Wang YS, Zhang M, Rong DD, Zhao ZL, Cao YX, Wang PP, Deng ZZ, Ma QF, Li KC, Zuo XN, Lu J. Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery. Front Neurol 2018; 9:907. [PMID: 30429821 PMCID: PMC6220368 DOI: 10.3389/fneur.2018.00907] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 10/08/2018] [Indexed: 11/13/2022] Open
Abstract
Connectivity-based methods are essential to explore brain reorganization after a stroke and to provide meaningful predictors for late motor recovery. We aim to investigate the homotopic connectivity alterations during a 180-day follow-up of patients with pontine infarction to find an early biomarker for late motor recovery prediction. In our study, resting-state functional MRI was performed in 15 patients (11 males, 4 females, age: 57.87 ± 6.50) with unilateral pontine infarction and impaired motor function during a period of 6 months (7, 14, 30, 90, and 180 days after stroke onset). Clinical neurological assessments were performed using the Fugl–Meyer scale (FM).15 matched healthy volunteers were also recruited. Whole-brain functional homotopy in each individual scan was measured by voxel-mirrored homotopic connectivity (VMHC) values. Group-level analysis was performed between stroke patients and normal controls. A Pearson correlation was performed to evaluate correlations between early VMHC and the subsequent 4 visits for behavioral measures during day 14 to day 180. We found in early stroke (within 7 days after onset), decreased VMHC was detected in the bilateral precentral and postcentral gyrus and precuneus/posterior cingulate cortex (PCC), while increased VMHC was found in the hippocampus/amygdala and frontal pole (P < 0.01). During follow-up, VMHC in the precentral and postcentral gyrus increased to the normal level from day 90, while VMHC in the precuneus/PCC presented decreased intensity during all time points (P < 0.05). The hippocampus/amygdala and frontal pole presented a higher level of VMHC during all time points (P < 0.05). Negative correlation was found between early VMHC in the hippocampus/amygdala with FM on day 14 (r = −0.59, p = 0.021), day 30 (r = −0.643, p = 0.01), day 90 (r = −0.693, p = 0.004), and day 180 (r = −0.668, p = 0.007). Furthermore, early VMHC in the frontal pole was negatively correlated with FM scores on day 30 (r = −0.662, p = 0.013), day 90 (r = −0.606, p = 0.017), and day 180 (r = −0.552, p = 0.033). Our study demonstrated the potential utility of early homotopic connectivity for prediction of late motor recovery in pontine infarction.
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Affiliation(s)
- Yi Shan
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Yin-Shan Wang
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Miao Zhang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Dong-Dong Rong
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Zhi-Lian Zhao
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Yan-Xiang Cao
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Pei-Pei Wang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Zheng-Zheng Deng
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Qing-Feng Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Kun-Cheng Li
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Xi-Nian Zuo
- Key Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China.,Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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Zou Y, Zhao Z, Yin D, Fan M, Small M, Liu Z, Hilgetag CC, Kurths J. Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke. Neuroimage Clin 2018; 20:523-530. [PMID: 30167372 PMCID: PMC6111043 DOI: 10.1016/j.nicl.2018.08.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 06/11/2018] [Accepted: 08/06/2018] [Indexed: 12/19/2022]
Abstract
Stroke has a large physical, psychological, and financial burden on patients, their families, and society. Based on functional networks (FNs) constructed from resting state fMRI data, network connectivity after stroke is commonly conjectured to be more randomly reconfigured. We find that this hypothesis depends on the severity of stroke. Head movement-corrected, resting-state fMRI data were acquired from 32 patients after stroke, and 37 healthy volunteers. We constructed anomaly FNs, which combine time series information of a patient with the healthy control group. We propose data-driven techniques to automatically identify regions of interest that are stroke relevant. Graph analysis based on anomaly FNs suggests consistently that strong connections in healthy controls are broken down specifically and characteristically for brain areas that are related to sensorimotor functions and frontoparietal control systems, but new links in stroke patients are rebuilt randomly from all possible areas. Entropic measures of complexity are proposed for characterizing the functional connectivity reorganization patterns, which are correlated with hand and wrist function assessments of stroke patients and show high potential for clinical use.
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Affiliation(s)
- Yong Zou
- Department of Physics, East China Normal University, Shanghai, China; Potsdam Institute for Climate Impact Research, Potsdam, Germany; Department of Mathematics and Statistics, University of Western Australia, Crawley, Australia.
| | - Zhiyong Zhao
- Department of Physics, East China Normal University, Shanghai, China
| | - Dazhi Yin
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mingxia Fan
- Department of Physics, East China Normal University, Shanghai, China
| | - Michael Small
- Department of Mathematics and Statistics, University of Western Australia, Crawley, Australia; CSIRO, Mineral Resources, Kensington, WA, Australia.
| | - Zonghua Liu
- Department of Physics, East China Normal University, Shanghai, China
| | - Claus C Hilgetag
- Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Health Sciences, Boston University, Boston, MA, USA
| | - Jürgen Kurths
- Potsdam Institute for Climate Impact Research, Potsdam, Germany; Department of Physics, Humboldt University Berlin, Berlin, Germany
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Pellicciari MC, Bonnì S, Ponzo V, Cinnera AM, Mancini M, Casula EP, Sallustio F, Paolucci S, Caltagirone C, Koch G. Dynamic reorganization of TMS-evoked activity in subcortical stroke patients. Neuroimage 2018; 175:365-378. [DOI: 10.1016/j.neuroimage.2018.04.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 04/04/2018] [Accepted: 04/06/2018] [Indexed: 12/21/2022] Open
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Zubler F, Seiler A, Horvath T, Roth C, Miano S, Rummel C, Gast H, Nobili L, Schindler KA, Bassetti CL. Stroke causes a transient imbalance of interhemispheric information flow in EEG during non-REM sleep. Clin Neurophysiol 2018; 129:1418-1426. [DOI: 10.1016/j.clinph.2018.03.038] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 02/21/2018] [Accepted: 03/19/2018] [Indexed: 12/12/2022]
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123
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Variability in stroke motor outcome is explained by structural and functional integrity of the motor system. Sci Rep 2018; 8:9480. [PMID: 29930399 PMCID: PMC6013462 DOI: 10.1038/s41598-018-27541-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 05/31/2018] [Indexed: 11/08/2022] Open
Abstract
Biomarkers that represent the structural and functional integrity of the motor system enable us to better assess motor outcome post-stroke. The degree of overlap between the stroke lesion and corticospinal tract (CST Injury) is a measure of the structural integrity of the motor system, whereas the left-to-right motor cortex resting state connectivity (LM1-RM1 rs-connectivity) is a measure of its functional integrity. CST Injury and LM1-RM1 rs-connectivity each individually correlate with motor outcome post-stroke, but less is understood about the relationship between these biomarkers. Thus, this study investigates the relationship between CST Injury and LM1-RM1 rs-connectivity, individually and together, with motor outcome. Twenty-seven participants with upper limb motor deficits post-stroke completed motor assessments and underwent MRI at one time point. CST Injury and LM1-RM1 rs-connectivity were derived from T1-weighted and resting state functional MRI scans, respectively. We performed hierarchical multiple regression analyses to determine the contribution of each biomarker in explaining motor outcome. The interaction between CST Injury and LM1-RM1 rs-connectivity does not significantly contribute to the variability in motor outcome. However, inclusion of both CST Injury and LM1-RM1 rs-connectivity explains more variability in motor outcome, than either alone. We suggest both biomarkers provide distinct information about an individual’s motor outcome.
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Alteration and Role of Interhemispheric and Intrahemispheric Connectivity in Motor Network After Stroke. Brain Topogr 2018; 31:708-719. [DOI: 10.1007/s10548-018-0644-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 04/12/2018] [Indexed: 01/25/2023]
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Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study. Neural Plast 2018; 2018:9394156. [PMID: 29849574 PMCID: PMC5907391 DOI: 10.1155/2018/9394156] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 12/18/2017] [Accepted: 01/08/2018] [Indexed: 11/18/2022] Open
Abstract
Recent fMRI studies have demonstrated that resting-state functional connectivity (FC) is of nonstationarity. Temporal variability of FC reflects the dynamic nature of brain activity. Exploring temporal variability of FC offers a new approach to investigate reorganization and integration of brain networks after stroke. Here, we examined longitudinal alterations of FC temporal variability in brain networks after stroke. Nineteen stroke patients underwent resting fMRI scans across the acute stage (within-one-week after stroke), subacute stage (within-two-weeks after stroke), and early chronic stage (3-4 months after stroke). Nineteen age- and sex-matched healthy individuals were enrolled. Compared with the controls, stroke patients exhibited reduced regional temporal variability during the acute stages, which was recovered at the following two stages. Compared with the acute stage, the subacute stage exhibited increased temporal variability in the primary motor, auditory, and visual cortices. Across the three stages, the temporal variability in the ipsilesional precentral gyrus (PreCG) was increased first and then reduced. Increased temporal variability in the ipsilesional PreCG from the acute stage to the subacute stage was correlated with motor recovery from the acute stage to the early chronic stage. Our results demonstrated that temporal variability of brain network might be a potential tool for evaluating and predicting motor recovery after stroke.
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126
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Santhanam P, Duncan ES, Small SL. Therapy-Induced Plasticity in Chronic Aphasia Is Associated with Behavioral Improvement and Time Since Stroke. Brain Connect 2018; 8:179-188. [PMID: 29338310 PMCID: PMC5899281 DOI: 10.1089/brain.2017.0508] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Cortical reorganization after stroke is thought to underlie functional improvement. Patterns of reorganization may differ depending on the amount of time since the stroke or the degree of improvement. We investigated these issues in a study of brain connectivity changes with aphasia therapy. Twelve individuals with chronic aphasia participated in a 6-week trial of imitation-based speech therapy. We assessed improvement on a repetition test and analyzed effective connectivity during functional magnetic resonance imaging of a speech observation task before and after therapy. Using structural equation modeling, patient networks were compared with a model derived from healthy controls performing the same task. Independent of the amount of time since the stroke, patients demonstrating behavioral improvement had networks that reorganized to be more similar to controls in two functional pathways in the left hemisphere. Independent of behavioral improvement, patients with remote infarcts (2-7 years poststroke; n = 5) also reorganized to more closely resemble controls in one of these pathways. Patients with far removed injury (>10 years poststroke; n = 3) did not show behavioral improvement and, despite similarities to the normative model and overall network heterogeneity, reorganized to be less similar to controls following therapy in a distinct right-lateralized pathway. Behavioral improvement following aphasia therapy was associated with connectivity more closely approximating that of healthy controls. Individuals who had a stroke more than a decade before testing also showed plasticity, with a few pathways becoming less like controls, possibly representing compensation. Better understanding of these mechanisms may help direct targeted brain stimulation.
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Affiliation(s)
- Priya Santhanam
- Department of Neurology, The University of Chicago, Chicago, Illinois
| | - E. Susan Duncan
- Department of Neurology, University of California, Irvine, Orange, California
- Department of Communication Sciences & Disorders, Louisiana State University, Baton Rouge, Louisiana
| | - Steven L. Small
- Department of Neurology, The University of Chicago, Chicago, Illinois
- Department of Neurology, University of California, Irvine, Orange, California
- Department of Neurobiology and Behavior, University of California, Irvine, California
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127
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Eldaief MC, McMains S, Hutchison RM, Halko MA, Pascual-Leone A. Reconfiguration of Intrinsic Functional Coupling Patterns Following Circumscribed Network Lesions. Cereb Cortex 2018; 27:2894-2910. [PMID: 27226439 DOI: 10.1093/cercor/bhw139] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Communication between cortical regions is necessary for optimal cognitive processing. Functional relationships between cortical regions can be inferred through measurements of temporal synchrony in spontaneous activity patterns. These relationships can be further elaborated by surveying effects of cortical lesions upon inter-regional connectivity. Lesions to cortical hubs and heteromodal association regions are expected to induce distributed connectivity changes and higher-order cognitive deficits, yet their functional consequences remain relatively unexplored. Here, we used resting-state fMRI to investigate intrinsic functional connectivity (FC) and graph theoretical metrics in 12 patients with circumscribed lesions of the medial prefrontal cortex (mPFC) portion of the Default Network (DN), and compared these metrics with those observed in healthy matched comparison participants and a sample of 1139 healthy individuals. Despite significant mPFC destruction, patients did not demonstrate weakened intrinsic FC among undamaged DN nodes. Instead, network-specific changes were manifested as weaker negative correlations between the DN and attentional and somatomotor networks. These findings conflict with the DN being a homogenous system functionally anchored at mPFC. Rather, they implicate a role for mPFC in mediating cross-network functional interactions. More broadly, our data suggest that lesions to association cortical hubs might induce clinical deficits by disrupting communication between interacting large-scale systems.
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Affiliation(s)
- Mark C Eldaief
- Center for Brain Science Neuroimaging Facility, Harvard University, Cambridge, MA 02138, USA.,Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Stephanie McMains
- Center for Brain Science Neuroimaging Facility, Harvard University, Cambridge, MA 02138, USA
| | - R Matthew Hutchison
- Center for Brain Science Neuroimaging Facility, Harvard University, Cambridge, MA 02138, USA
| | - Mark A Halko
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Alvaro Pascual-Leone
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.,Institut Guttmann, Universitat Autonoma, Barcelona, Spain
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128
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Modulating Brain Connectivity by Simultaneous Dual-Mode Stimulation over Bilateral Primary Motor Cortices in Subacute Stroke Patients. Neural Plast 2018; 2018:1458061. [PMID: 29666636 PMCID: PMC5831930 DOI: 10.1155/2018/1458061] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 11/21/2017] [Accepted: 12/17/2017] [Indexed: 02/05/2023] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS) has been used for the modulation of stroke patients' motor function. Recently, more challenging approaches have been studied. In this study, simultaneous stimulation using both rTMS and tDCS (dual-mode stimulation) over bilateral primary motor cortices (M1s) was investigated to compare its modulatory effects with single rTMS stimulation over the ipsilesional M1 in subacute stroke patients. Twenty-four patients participated; 12 participants were assigned to the dual-mode stimulation group while the other 12 participants were assigned to the rTMS-only group. We assessed each patient's motor function using the Fugl-Meyer assessment score and acquired their resting-state fMRI data at two times: prior to stimulation and 2 months after stimulation. Twelve healthy subjects were also recruited as the control group. The interhemispheric connectivity of the contralesional M1, interhemispheric connectivity between bilateral hemispheres, and global efficiency of the motor network noticeably increased in the dual-mode stimulation group compared to the rTMS-only group. Contrary to the dual-mode stimulation group, there was no significant change in the rTMS-only group. These data suggested that simultaneous dual-mode stimulation contributed to the recovery of interhemispheric interaction than rTMS only in subacute stroke patients. This trial is registered with NCT03279640.
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129
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Altered functional connectivity differs in stroke survivors with impaired touch sensation following left and right hemisphere lesions. NEUROIMAGE-CLINICAL 2018; 18:342-355. [PMID: 29487791 PMCID: PMC5814381 DOI: 10.1016/j.nicl.2018.02.012] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 01/18/2018] [Accepted: 02/07/2018] [Indexed: 12/15/2022]
Abstract
One in two survivors experience impairment in touch sensation after stroke. The nature of this impairment is likely associated with changes associated with the functional somatosensory network of the brain; however few studies have examined this. In particular, the impact of lesioned hemisphere has not been investigated. We examined resting state functional connectivity in 28 stroke survivors, 14 with left hemisphere and 14 with right hemisphere lesion, and 14 healthy controls. Contra-lesional hands showed significantly decreased touch discrimination. Whole brain functional connectivity (FC) data was extracted from four seed regions, i.e. primary (S1) and secondary (S2) somatosensory cortices in both hemispheres. Whole brain FC maps and Laterality Indices (LI) were calculated for subgroups. Inter-hemispheric FC was greater in healthy controls compared to the combined stroke cohort from the left S1 seed and bilateral S2 seeds. The left lesion subgroup showed decreased FC, relative to controls, from left ipsi-lesional S1 to contra-lesional S1 and to distributed temporal, occipital and parietal regions. In comparison, the right lesion group showed decreased connectivity from contra-lesional left S1 and bilateral S2 to ipsi-lesional parietal operculum (S2), and to occipital and temporal regions. The right lesion group also showed increased intra-hemispheric FC from ipsi-lesional right S1 to inferior parietal regions compared to controls. In comparison to the left lesion group, those with right lesion showed greater intra-hemispheric connectivity from left S1 to left parietal and occipital regions and from right S1 to right angular and parietal regions. Laterality Indices were significantly greater for stroke subgroups relative to matched controls for contra-lesional S1 (left lesion group) and contra-lesional S2 (both groups). We provide evidence of altered functional connectivity within the somatosensory network, across both hemispheres, and to other networks in stroke survivors with impaired touch sensation. Hemisphere of lesion was associated with different patterns of altered functional connectivity within the somatosensory network and with related function was associated with different patterns of altered functional connectivity within the somatosensory network and with related functional networks. Examined somatosensory resting functional connectivity (RSFC) in left/right lesion stroke patients and/healthy controls. Seed based voxel wise (SB) and laterality index (LI) analyses were used. Left lesion SB results showed decreased RSFC in somatosensory and attention regions vs. controls/right lesion patients. Right lesion patients showed increased RSFC compared to controls and left lesion patients to inferior parietal areas. LI results showed increased laterality in both left and right lesion groups between the somatosensory seeds. This suggests RSFC may differ depending on laterality of lesion damage, with altered connectivity profiles between networks.
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130
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Lee M, Park CH, Im CH, Kim JH, Kwon GH, Kim L, Chang WH, Kim YH. Motor imagery learning across a sequence of trials in stroke patients. Restor Neurol Neurosci 2018; 34:635-45. [PMID: 26410210 DOI: 10.3233/rnn-150534] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
PURPOSE In brain-computer interfaces (BCIs), electrical brain signals during motor imagery are utilized as commands connecting the brain to a computer. To use BCI in patients with stroke, unique brain signal changes should be characterized during motor imagery process. This study aimed to examine the trial-dependent motor-imagery-related activities in stroke patients. METHODS During the recording of electroencephalography (EEG) signals, 12 chronic stroke patients and 11 age-matched healthy controls performed motor imagery finger tapping at 1.3 sec intervals. Trial-dependent brain signal changes were assessed by analysis of the mu and beta bands. RESULTS Neuronal activity in healthy controls was observed over bilateral hemispheres at the mu and beta bands regardless of changes in the trials, whereas neuronal activity in stroke patients was mainly seen over the ipsilesional hemisphere at the beta band. With progression to repeated trials, healthy controls displayed a decrease in cortical activity in the contralateral hemisphere at the mu band and in bilateral hemispheres at the beta band. In contrast, stroke patients showed a decreasing trend in cortical activity only over the ipsilesional hemisphere at the beta band. CONCLUSIONS Trial-dependent changes during motor imagery learning presented in a different manner in stroke patients. Understanding motor imagery learning in stroke patients is crucial for enhancing the effectiveness of motor-imagery-based BCIs.
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Affiliation(s)
- Minji Lee
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea
| | - Chang-Hyun Park
- Department of Physical and Rehabilitation Medicine, Center for Prevention & Rehabilitation, Heart Vascular and Stroke, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea
| | - Chang-Hwan Im
- Department of Biomedical Engineering, Hanyang University, Haengdang 1-dong, Seongdong-gu, Seoul, Republic of Korea
| | - Jung-Hoon Kim
- Department of Biomedical Engineering, Hanyang University, Haengdang 1-dong, Seongdong-gu, Seoul, Republic of Korea
| | - Gyu-Hyun Kwon
- Center for Bionics, Korea Institute of Science and Technology (KIST), Wolgok 2-dong, Seongbuk-gu, Seoul, Republic of Korea
| | - Laehyun Kim
- Center for Bionics, Korea Institute of Science and Technology (KIST), Wolgok 2-dong, Seongbuk-gu, Seoul, Republic of Korea
| | - Won Hyuk Chang
- Department of Physical and Rehabilitation Medicine, Center for Prevention & Rehabilitation, Heart Vascular and Stroke, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea
| | - Yun-Hee Kim
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea.,Department of Physical and Rehabilitation Medicine, Center for Prevention & Rehabilitation, Heart Vascular and Stroke, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea
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131
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Vidal AC, Banca P, Pascoal AG, Cordeiro G, Sargento-Freitas J, Gouveia A, Castelo-Branco M. Withdrawn: Bilateral versus ipsilesional cortico-subcortical activity patterns in stroke show hemispheric dependence. Int J Stroke 2018:1747493018767164. [PMID: 29618291 DOI: 10.1177/1747493018767164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Vidal AC, Banca P, Pascoal AG, Cordeiro G, Sargento-Freitas J, Gouveia A and Castelo-Branco M. Bilateral versus ipsilesional corticosubcortical activity patterns in stroke show hemispheric dependence. Int J Stroke. Epub ahead of print 5 April 2018. DOI: https://doi.org/10.1177/1747493018767164. Ahead of Print article withdrawn by publisher. Due to an administrative error, this article was accidentally published Online First and in Volume 12 Issue 1 with different DOIs. Vidal AC, Banca P, Pascoal AG, Cordeiro G, Sargento-Freitas J, Gouveia A and Castelo-Branco M. Bilateral versus ipsilesional corticosubcortical activity patterns in stroke show hemispheric dependence. Int J Stroke. Epub ahead of print 5 April 2018. The correct and citable version of the article remains: Vidal AC, Banca P, Pascoal AG, Cordeiro G, Sargento-Freitas J, Gouveia A and Castelo-Branco M. Bilateral versus ipsilesional corticosubcortical activity patterns in stroke show hemispheric dependence. Int J Stroke 2017; 12(1): 71–83. DOI: https://doi.org/10.1177/1747493016672087.
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Affiliation(s)
- Ana C Vidal
- 1 Fac Motricidade Humana, Universidade de Lisboa, CIPER, LBMF, Lisbon, Portugal
- 2 Garcia de Orta Hospital, Almada, Portugal
| | - Paula Banca
- 3 Faculty of Medicine, Visual Neuroscience Laboratory, CIBIT, IBILI, University of Coimbra, Coimbra, Portugal
| | - Augusto G Pascoal
- 1 Fac Motricidade Humana, Universidade de Lisboa, CIPER, LBMF, Lisbon, Portugal
| | - Gustavo Cordeiro
- 4 Department of Neurology, Stroke Unit, Coimbra University Hospital, Coimbra, Portugal
| | - João Sargento-Freitas
- 4 Department of Neurology, Stroke Unit, Coimbra University Hospital, Coimbra, Portugal
| | - Ana Gouveia
- 4 Department of Neurology, Stroke Unit, Coimbra University Hospital, Coimbra, Portugal
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132
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Hakon J, Quattromani MJ, Sjölund C, Tomasevic G, Carey L, Lee JM, Ruscher K, Wieloch T, Bauer AQ. Multisensory stimulation improves functional recovery and resting-state functional connectivity in the mouse brain after stroke. NEUROIMAGE-CLINICAL 2017; 17:717-730. [PMID: 29264113 PMCID: PMC5726755 DOI: 10.1016/j.nicl.2017.11.022] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 10/27/2017] [Accepted: 11/23/2017] [Indexed: 10/25/2022]
Abstract
Stroke causes direct structural damage to local brain networks and indirect functional damage to distant brain regions. Neuroplasticity after stroke involves molecular changes within perilesional tissue that can be influenced by regions functionally connected to the site of injury. Spontaneous functional recovery can be enhanced by rehabilitative strategies, which provides experience-driven cell signaling in the brain that enhances plasticity. Functional neuroimaging in humans and rodents has shown that spontaneous recovery of sensorimotor function after stroke is associated with changes in resting-state functional connectivity (RS-FC) within and across brain networks. At the molecular level, GABAergic inhibitory interneurons can modulate brain plasticity in peri-infarct and remote brain regions. Among this cell-type, a decrease in parvalbumin (PV)-immunoreactivity has been associated with improved behavioral outcome. Subjecting rodents to multisensory stimulation through exposure to an enriched environment (EE) enhances brain plasticity and recovery of function after stroke. Yet, how multisensory stimulation relates to RS-FC has not been determined. In this study, we investigated the effect of EE on recovery of RS-FC and behavior in mice after stroke, and if EE-related changes in RS-FC were associated with levels of PV-expressing neurons. Photothrombotic stroke was induced in the sensorimotor cortex. Beginning 2 days after stroke, mice were housed in either standard environment (STD) or EE for 12 days. Housing in EE significantly improved lost tactile-proprioceptive function compared to mice housed in STD environment. RS-FC in the mouse was measured by optical intrinsic signal imaging 14 days after stroke or sham surgery. Stroke induced a marked reduction in RS-FC within several perilesional and remote brain regions. EE partially restored interhemispheric homotopic RS-FC between spared motor regions, particularly posterior secondary motor. Compared to mice housed in STD cages, EE exposure lead to increased RS-FC between posterior secondary motor regions and contralesional posterior parietal and retrosplenial regions. The increased regional RS-FC observed in EE mice after stroke was significantly correlated with decreased PV-immunoreactivity in the contralesional posterior motor region. In conclusion, experimental stroke and subsequent housing in EE induces dynamic changes in RS-FC in the mouse brain. Multisensory stimulation associated with EE enhances RS-FC among distinct brain regions relevant for recovery of sensorimotor function and controlled movements that may involve PV/GABA interneurons. Our results indicate that targeting neural circuitry involving spared motor regions across hemispheres by neuromodulation and multimodal sensory stimulation could improve rehabilitation after stroke.
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Key Words
- EE, enriched environment
- Enriched environment
- GSR, global signal regression
- M1, primary motor cortex
- M2, secondary motor cortex
- M2p, posterior secondary motor cortex
- MSR, multiple signal regression
- NDc, interhemispheric (contralateral) node degree
- NDi, intrahemispheric node degree
- Optical imaging
- PP, posterior parietal cortex
- PV, parvalbumin
- Parvalbumin
- ROI, region of interest
- RS, retrosplenial cortex
- RS-FC, resting-state functional connectivity
- Recovery
- Resting-state functional connectivity
- SFL, somatosensory forelimb cortex
- STD, standard environment
- Stroke
- VIS, visual cortex
- fcOIS, functional connectivity optical intrinsic signal imaging
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Affiliation(s)
- Jakob Hakon
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden.
| | - Miriana Jlenia Quattromani
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden
| | - Carin Sjölund
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden
| | - Gregor Tomasevic
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden; Department of Neurosurgery, University Hospital of Lund, Lund, Sweden
| | - Leeanne Carey
- School of Allied Health, La Trobe University, Melbourne, Vic., Australia; Neurorehabilitation and Recovery Laboratory, Florey Institute of Neuroscience and Mental Health, Melbourne, Vic., Australia
| | - Jin-Moo Lee
- Department of Radiology, Washington University, Saint Louis, MO 63110, USA; Department of Neurology, Washington University, Saint Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University, Saint Louis, MO 63110, USA
| | - Karsten Ruscher
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden
| | - Tadeusz Wieloch
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden
| | - Adam Q Bauer
- Department of Radiology, Washington University, Saint Louis, MO 63110, USA
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133
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Wei D, Xie D, Li H, Chen Y, Qi D, Wang Y, Zhang Y, Chen K, Li C, Zhang Z. The positive effects of Xueshuan Xinmai tablets on brain functional connectivity in acute ischemic stroke: a placebo controlled randomized trial. Sci Rep 2017; 7:15244. [PMID: 29127417 PMCID: PMC5681502 DOI: 10.1038/s41598-017-15456-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 10/25/2017] [Indexed: 11/09/2022] Open
Abstract
Through a placebo controlled randomized study, the purpose of this report was to investigate the effects of Xueshuan Xinmai tablets (XXMT) on neurologic deficits, quality of life and brain functional connectivity in acute ischemic stroke patients and to explore the mechanism of action of XXMT. In total, 44 acute ischemic stroke patients were randomly divided to the XXMT treatment group (n = 22) or the placebo group (n = 22) in a 2-week trial. Before and after the treatment, the neurological assessment and functional magnetic resonance imaging examinations were carried out. Compared to the placebo group, the scores of the National Institutes of Health Stroke Scale (NIHSS) and Stroke-Specific Quality of Life Scale (SSQOL) significantly improved in the treatment group. In addition, XXMT-treated patients demonstrated significantly enhanced functional connectivity within the default mode, frontal-parietal, and motor control networks. Furthermore, the changed connectivity in the left precuneus was positively correlated to the improvement of NIHSS and SSQOL scores. The present study indicated that XXMT treatment significantly improved the neurologic deficit and quality of life of acute ischemic stroke patients and that the therapeutic effect may be based on the modulation of XXMT on the functional connectivity of brain networks.
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Affiliation(s)
- Dongfeng Wei
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, P.R. China.,BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China
| | - Daojun Xie
- The First Affiliated Hospital of Anhui University of traditional Chinese Medicine, Hefei, 230031, P.R. China
| | - He Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, P.R. China.,BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, P.R. China.,BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China
| | - Di Qi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, P.R. China.,BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China
| | - Yujiao Wang
- Graduate School of Anhui University of traditional Chinese Medicine, Hefei, 230038, P.R. China
| | - Yangjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, P.R. China.,BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China
| | - Kewei Chen
- BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China.,Banner Alzheimer's Institute, Phoenix, Arizona, 85006, USA
| | - Chuanfu Li
- The First Affiliated Hospital of Anhui University of traditional Chinese Medicine, Hefei, 230031, P.R. China.
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, P.R. China. .,BABRI Centre, Beijing Normal University, Beijing, 100875, P.R. China.
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134
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Functional Activation-Informed Structural Changes during Stroke Recovery: A Longitudinal MRI Study. BIOMED RESEARCH INTERNATIONAL 2017; 2017:4345205. [PMID: 29204440 PMCID: PMC5674725 DOI: 10.1155/2017/4345205] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 06/09/2017] [Accepted: 09/12/2017] [Indexed: 01/21/2023]
Abstract
Objective Neuroimaging studies revealed the functional reorganization or the structural changes during stroke recovery. However, previous studies did not combine the functional and structural information and the results might be affected by heterogeneous lesion. This study aimed to investigate functional activation-informed structural changes during stroke recovery. Methods MRI data of twelve stroke patients were collected at four consecutive time points during the first 3 months after stroke onset. Functional activation during finger-tapping task was used to inform the analysis of structural changes of activated brain regions. Correlation between structural changes in motor-related activated brain regions and motor function recovery was estimated. Results The averaged gray matter volume (aGMV) of contralesional activated brain regions and laterality index of gray matter volume (LIGMV) increased during stroke recovery, and LIGMV was positively correlated with Fugl-Meyer Index (FMI) at initial stage after stroke. The aGMV of bilateral activated brain regions was negatively correlated with FMI during the stroke recovery. Conclusion This study demonstrated that combining the stroke-induced functional reorganization and structural change provided new insights into the underlying innate plasticity process during stroke recovery. Significance This study proposed a new approach to integrate functional and structural information for investigating the innate plasticity after stroke.
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135
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Khan FR, Chevidikunnan MF. Effectiveness of central plus peripheral stimulation (CPPS) on post stroke upper limb motor rehabilitation. Brain Inj 2017; 31:1494-1500. [PMID: 28956646 DOI: 10.1080/02699052.2017.1377353] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE This study was to assess the motor-cortex integrity and reaction time of the upper limb in patients early after stroke after CPPS approach with Theta Burst Stimulation (TBS) an repetitive Trans-cranial Magnetic Stimulation (TMS) paradigm and Neuromuscular Electrical Stimulation (NMES). METHODS Ten patients and ten age matched controls underwent three experimental sessions in three consecutive weeks. First-week W1 (TBS) with TBS alone, second-week W2 (NMES) with NMES alone and third-week W3 (TBS + NMES) with both TBS and NMES given sequentially. Cortical excitability was assessed with single pulse TMS stimulator before and immediately after the three interventions for Resting Motor Threshold (RMT) from the ipsilesional and contralesional hemisphere in the corresponding first dorsal interossei muscle of the ipsilateral and contralateral hand. Post intervention functional assessment was done with 9 Hole Peg Test (9PHT) for change in reaction time (RT) for both ipsilataral and contralateral hand. RESULTS All the three interventions showed significant improvement from the baseline, however W3 (TBS + NMES) showed significantly greater improvement when compared to other interventions in RMT and 9 HPT. CONCLUSION CPPS with TBS and NMES showed synergistic effect in both electrophysiological and clinical assessment. A combined approach (CPPS) may be more effective for post-stroke motor rehabilitation.
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Affiliation(s)
- Fayaz Rahman Khan
- a Department of Physical Therapy, Faculty of Applied Medical Science , King Abdulaziz University , Jeddah , Saudi Arabia
| | - Mohamed Faisal Chevidikunnan
- a Department of Physical Therapy, Faculty of Applied Medical Science , King Abdulaziz University , Jeddah , Saudi Arabia
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136
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Zhang J, Zhang Y, Wang L, Sang L, Yang J, Yan R, Li P, Wang J, Qiu M. Disrupted structural and functional connectivity networks in ischemic stroke patients. Neuroscience 2017; 364:212-225. [PMID: 28918259 DOI: 10.1016/j.neuroscience.2017.09.009] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 09/04/2017] [Accepted: 09/05/2017] [Indexed: 01/10/2023]
Abstract
Local lesions caused by stroke may result in extensive structural and functional reorganization in the brain. Previous studies of this phenomenon have focused on specific brain networks. Here, we aimed to discover abnormalities in whole-brain networks and to explore the decoupling between structural and functional connectivity in patients with stroke. Fifteen ischemic stroke patients and 23 normal controls (NCs) were recruited in this study. A graph theoretical analysis was employed to investigate the abnormal topological properties of structural and functional brain networks in patients with stroke. Both patients with stroke and NCs exhibited small-world organization in brain networks. However, compared to NCs, patients with stroke exhibited abnormal global properties characterized by a higher characteristic path length and lower global efficiency. Furthermore, patients with stroke showed altered nodal characteristics, primarily in certain motor- and cognition-related regions. Positive correlations between the nodal degree of the inferior parietal lobule and the Fugl-Meyer Assessment (FMA) score and between the nodal betweenness centrality of the posterior cingulate gyrus (PCG) and immediate recall were observed in patients with stroke. Most importantly, the strength of the structural-functional connectivity network coupling was decreased, and the coupling degree was related to the FMA score of patients, suggesting that decoupling may provide a novel biomarker for the assessment of motor impairment in patients with stroke. Thus, the topological organization of brain networks is altered in patients with stroke, and our results provide insights into the structural and functional organization of the brain after stroke from the viewpoint of network topology.
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Affiliation(s)
- Jingna Zhang
- Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China
| | - Ye Zhang
- Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China
| | - Li Wang
- Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China
| | - Linqiong Sang
- Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China
| | - Jun Yang
- Department of Radiology, Southwest Hospital, Third Military Medical University, 30 Gaotanyan Road, Chongqing 400038, China
| | - Rubing Yan
- Department of Rehabilitation, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
| | - Pengyue Li
- Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Third Military Medical University, 30 Gaotanyan Road, Chongqing 400038, China.
| | - Mingguo Qiu
- Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China.
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Schulz R, Park E, Lee J, Chang WH, Lee A, Kim YH, Hummel FC. Interactions Between the Corticospinal Tract and Premotor-Motor Pathways for Residual Motor Output After Stroke. Stroke 2017; 48:2805-2811. [PMID: 28904231 DOI: 10.1161/strokeaha.117.016834] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 06/07/2017] [Accepted: 07/06/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Brain imaging has continuously enhanced our understanding how different brain networks contribute to motor recovery after stroke. However, the present models are still incomplete and do not fit for every patient. The interaction between the degree of damage of the corticospinal tract (CST) and of corticocortical motor connections, that is, the influence of the microstructural state of one connection on the importance of another has been largely neglected. METHODS Applying diffusion-weighted imaging and probabilistic tractography, we investigated cross-network interactions between the integrity of ipsilesional CST and ipsilesional corticocortical motor pathways for variance in residual motor outcome in 53 patients with subacute stroke. RESULTS The main finding was a significant interaction between the CST and corticocortical connections between the primary motor and ventral premotor cortex in relation to residual motor output. More specifically, the data indicate that the microstructural state of the connection primary motor-ventral premotor cortex plays only a role in patients with significant damage to the CST. In patients with slightly affected CST, this connection did not explain a relevant amount of variance in motor outcome. CONCLUSIONS The present data show that patients with stroke with different degree of CST disruption differ in their dependency on structural premotor-motor connections for residual motor output. This finding might have important implications for future research on recovery prediction models and on responses to treatment strategies.
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Affiliation(s)
- Robert Schulz
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.)
| | - Eunhee Park
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.)
| | - Jungsoo Lee
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.)
| | - Won Hyuk Chang
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.)
| | - Ahee Lee
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.)
| | - Yun-Hee Kim
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.)
| | - Friedhelm C Hummel
- From the Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (R.S.); Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.L., W.H.C., Y.-H.K.); Department of Physical and Rehabilitation Medicine, Kyungpook National University Medical Center, Daegu, Republic of Korea (E.P.); Department of Health Sciences and Technology, Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea (J.L., A.L., Y.-H.K.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland (F.C.H.); Defitech Chair of Clinical Neuroengineering, Brain Mind Institute and Centre of Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), CRR (Clinique Romande de Réadaptation), Sion, Switzerland (F.C.H.); and Department of Clinical Neurosciences, Geneva University Hospital, Switzerland (F.C.H.).
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Saleh S, Fluet G, Qiu Q, Merians A, Adamovich SV, Tunik E. Neural Patterns of Reorganization after Intensive Robot-Assisted Virtual Reality Therapy and Repetitive Task Practice in Patients with Chronic Stroke. Front Neurol 2017; 8:452. [PMID: 28928708 PMCID: PMC5591400 DOI: 10.3389/fneur.2017.00452] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 08/15/2017] [Indexed: 12/13/2022] Open
Abstract
Several approaches to rehabilitation of the hand following a stroke have emerged over the last two decades. These treatments, including repetitive task practice (RTP), robotically assisted rehabilitation and virtual rehabilitation activities, produce improvements in hand function but have yet to reinstate function to pre-stroke levels-which likely depends on developing the therapies to impact cortical reorganization in a manner that favors or supports recovery. Understanding cortical reorganization that underlies the above interventions is therefore critical to inform how such therapies can be utilized and improved and is the focus of the current investigation. Specifically, we compare neural reorganization elicited in stroke patients participating in two interventions: a hybrid of robot-assisted virtual reality (RAVR) rehabilitation training and a program of RTP training. Ten chronic stroke subjects participated in eight 3-h sessions of RAVR therapy. Another group of nine stroke subjects participated in eight sessions of matched RTP therapy. Functional magnetic resonance imaging (fMRI) data were acquired during paretic hand movement, before and after training. We compared the difference between groups and sessions (before and after training) in terms of BOLD intensity, laterality index of activation in sensorimotor areas, and the effective connectivity between ipsilesional motor cortex (iMC), contralesional motor cortex, ipsilesional primary somatosensory cortex (iS1), ipsilesional ventral premotor area (iPMv), and ipsilesional supplementary motor area. Last, we analyzed the relationship between changes in fMRI data and functional improvement measured by the Jebsen Taylor Hand Function Test (JTHFT), in an attempt to identify how neurophysiological changes are related to motor improvement. Subjects in both groups demonstrated motor recovery after training, but fMRI data revealed RAVR-specific changes in neural reorganization patterns. First, BOLD signal in multiple regions of interest was reduced and re-lateralized to the ipsilesional side. Second, these changes correlated with improvement in JTHFT scores. Our findings suggest that RAVR training may lead to different neurophysiological changes when compared with traditional therapy. This effect may be attributed to the influence that augmented visual and haptic feedback during RAVR training exerts over higher-order somatosensory and visuomotor areas.
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Affiliation(s)
- Soha Saleh
- Human Performance and Engineering Research, Kessler Foundation, West Orange, NJ, United States
| | - Gerard Fluet
- Department of Rehabilitation and Movement Science, Rutgers University, Newark, NJ, United States
| | - Qinyin Qiu
- Department of Rehabilitation and Movement Science, Rutgers University, Newark, NJ, United States
| | - Alma Merians
- Department of Rehabilitation and Movement Science, Rutgers University, Newark, NJ, United States
| | - Sergei V. Adamovich
- Department of Rehabilitation and Movement Science, Rutgers University, Newark, NJ, United States
- Department of Biomedical Engineering, NJIT, Newark, NJ, United States
| | - Eugene Tunik
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, MA, United States
- Department of Bioengineering, Northeastern University, Boston, MA, United States
- Department of Biology, Northeastern University, Boston, MA, United States
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139
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Lee J, Park E, Lee A, Chang WH, Kim D, Kim Y. Recovery‐related indicators of motor network plasticity according to impairment severity after stroke. Eur J Neurol 2017; 24:1290-1299. [DOI: 10.1111/ene.13377] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 06/27/2017] [Indexed: 01/05/2023]
Affiliation(s)
- J. Lee
- Department of Physical and Rehabilitation Medicine Center for Prevention and Rehabilitation Samsung Medical Center Heart Vascular Stroke Institute Sungkyunkwan University School of Medicine Seoul
- Department of Health Sciences and Technology Department of Medical Device Management & Research SAIHST Sungkyunkwan University Seoul
| | - E. Park
- Department of Physical and Rehabilitation Medicine Kyungpook National University Medical Center Daegu
| | - A. Lee
- Department of Health Sciences and Technology Department of Medical Device Management & Research SAIHST Sungkyunkwan University Seoul
| | - W. H. Chang
- Department of Physical and Rehabilitation Medicine Center for Prevention and Rehabilitation Samsung Medical Center Heart Vascular Stroke Institute Sungkyunkwan University School of Medicine Seoul
| | - D.‐S. Kim
- Korea Advanced Institute of Science and Technology School of Electrical Engineering Daejeon Korea
| | - Y.‐H. Kim
- Department of Physical and Rehabilitation Medicine Center for Prevention and Rehabilitation Samsung Medical Center Heart Vascular Stroke Institute Sungkyunkwan University School of Medicine Seoul
- Department of Health Sciences and Technology Department of Medical Device Management & Research SAIHST Sungkyunkwan University Seoul
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140
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Toward precision medicine: tailoring interventional strategies based on noninvasive brain stimulation for motor recovery after stroke. Curr Opin Neurol 2017; 30:388-397. [DOI: 10.1097/wco.0000000000000462] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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141
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Kalinosky BT, Berrios Barillas R, Schmit BD. Structurofunctional resting-state networks correlate with motor function in chronic stroke. NEUROIMAGE-CLINICAL 2017; 16:610-623. [PMID: 28971011 PMCID: PMC5619927 DOI: 10.1016/j.nicl.2017.07.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 06/12/2017] [Accepted: 07/03/2017] [Indexed: 12/26/2022]
Abstract
Purpose Motor function and recovery after stroke likely rely directly on the residual anatomical connections in the brain and its resting-state functional connectivity. Both structural and functional properties of cortical networks after stroke are revealed using multimodal magnetic resonance imaging (MRI). Specifically, functional connectivity MRI (fcMRI) can extract functional networks of the brain at rest, while structural connectivity can be estimated from white matter fiber orientations measured with high angular-resolution diffusion imaging (HARDI). A model that marries these two techniques may be the key to understanding functional recovery after stroke. In this study, a novel set of voxel-level measures of structurofunctional correlations (SFC) was developed and tested in a group of chronic stroke subjects. Methods A fully automated method is presented for modeling the structure-function relationship of brain connectivity in individuals with stroke. Brains from ten chronic stroke subjects and nine age-matched controls were imaged with a structural T1-weighted scan, resting-state fMRI, and HARDI. Each subject's T1-weighted image was nonlinearly registered to a T1-weighted 152-brain MNI template using a local histogram-matching technique that alleviates distortions caused by brain lesions. Fractional anisotropy maps and mean BOLD images of each subject were separately registered to the individual's T1-weighted image using affine transformations. White matter fiber orientations within each voxel were estimated with the q-ball model, which approximates the orientation distribution function (ODF) from the diffusion-weighted measurements. Deterministic q-ball tractography was performed in order to obtain a set of fiber trajectories. The new structurofunctional correlation method assigns each voxel a new BOLD time course based on a summation of its structural connections with a common fiber length interval. Then, the voxel's original time-course was correlated with this fiber-distance BOLD signal to derive a novel structurofunctional correlation coefficient. These steps were repeated for eight fiber distance intervals, and the maximum of these correlations was used to define an intrinsic structurofunctional correlation (iSFC) index. A network-based SFC map (nSFC) was also developed in order to enhance resting-state functional networks derived from conventional functional connectivity analyses. iSFC and nSFC maps were individually compared between stroke subjects and controls using a voxel-based two-tailed Student's t-test (alpha = 0.01). A linear regression was also performed between the SFC metrics and the Box and Blocks Score, a clinical measure of arm motor function. Results Significant decreases (p < 0.01) in iSFC were found in stroke subjects within functional hubs of the brain, including the precuneus, prefrontal cortex, posterior parietal cortex, and cingulate gyrus. Many of these differences were significantly correlated with the Box and Blocks Score. The nSFC maps of prefrontal networks in control subjects revealed localized increases within the cerebellum, and these enhancements were diminished in stroke subjects. This finding was further supported by a reduction in functional connectivity between the prefrontal cortex and cerebellum. Default-mode network nSFC maps were higher in the contralesional hemisphere of lower-functioning stroke subjects. Conclusion The results demonstrate that changes after a stroke in both intrinsic and network-based structurofunctional correlations at rest are correlated with motor function, underscoring the importance of residual structural connectivity in cortical networks.
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Affiliation(s)
| | | | - Brian D. Schmit
- Department of Biomedical Engineering, Marquette University, Milwaukee, WI, USA
- Corresponding author at: Department of Biomedical Engineering, Marquette University, PO Box 1881, Milwaukee, WI 53201-1881, USA.
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142
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Philips GR, Daly JJ, Príncipe JC. Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery. J Neuroeng Rehabil 2017; 14:67. [PMID: 28683745 PMCID: PMC5501348 DOI: 10.1186/s12984-017-0277-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 06/20/2017] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Biomarkers derived from neural activity of the brain present a vital tool for the prediction and evaluation of post-stroke motor recovery, as well as for real-time biofeedback opportunities. METHODS In order to encapsulate recovery-related reorganization of brain networks into such biomarkers, we have utilized the generalized measure of association (GMA) and graph analyses, which include global and local efficiency, as well as hemispheric interdensity and intradensity. These methods were applied to electroencephalogram (EEG) data recorded during a study of 30 stroke survivors (21 male, mean age 57.9 years, mean stroke duration 22.4 months) undergoing 12 weeks of intensive therapeutic intervention. RESULTS We observed that decreases of the intradensity of the unaffected hemisphere are correlated (r s =-0.46;p<0.05) with functional recovery, as measured by the upper-extremity portion of the Fugl-Meyer Assessment (FMUE). In addition, high initial values of local efficiency predict greater improvement in FMUE (R 2=0.16;p<0.05). In a subset of 17 subjects possessing lesions of the cerebral cortex, reductions of global and local efficiency, as well as the intradensity of the unaffected hemisphere are found to be associated with functional improvement (r s =-0.60,-0.66,-0.75;p<0.05). Within the same subgroup, high initial values of global and local efficiency, are predictive of improved recovery (R 2=0.24,0.25;p<0.05). All significant findings were specific to the 12.5-25 Hz band. CONCLUSIONS These topological measures show promise for prognosis and evaluation of therapeutic outcomes, as well as potential application to BCI-enabled biofeedback.
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Affiliation(s)
- Gavin R. Philips
- Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA
| | - Janis J. Daly
- Department of Neurology, University of Florida, Gainesville, Florida, USA
- Malcolm Randall VA Medical Center, Gainesville, Florida, USA
| | - José C. Príncipe
- Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA
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143
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Harris-Love ML, Harrington RM. Non-Invasive Brain Stimulation to Enhance Upper Limb Motor Practice Poststroke: A Model for Selection of Cortical Site. Front Neurol 2017; 8:224. [PMID: 28611727 PMCID: PMC5447046 DOI: 10.3389/fneur.2017.00224] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 05/09/2017] [Indexed: 12/15/2022] Open
Abstract
Motor practice is an essential part of upper limb motor recovery following stroke. To be effective, it must be intensive with a high number of repetitions. Despite the time and effort required, gains made from practice alone are often relatively limited, and substantial residual impairment remains. Using non-invasive brain stimulation to modulate cortical excitability prior to practice could enhance the effects of practice and provide greater returns on the investment of time and effort. However, determining which cortical area to target is not trivial. The implications of relevant conceptual frameworks such as Interhemispheric Competition and Bimodal Balance Recovery are discussed. In addition, we introduce the STAC (Structural reserve, Task Attributes, Connectivity) framework, which incorporates patient-, site-, and task-specific factors. An example is provided of how this framework can assist in selecting a cortical region to target for priming prior to reaching practice poststroke. We suggest that this expanded patient-, site-, and task-specific approach provides a useful model for guiding the development of more successful approaches to neuromodulation for enhancing motor recovery after stroke.
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Affiliation(s)
- Michelle L Harris-Love
- Bioengineering Department, Volgenau School of Engineering, George Mason University, Fairfax, VA, United States.,MedStar National Rehabilitation Hospital, Washington, DC, United States
| | - Rachael M Harrington
- MedStar National Rehabilitation Hospital, Washington, DC, United States.,Interdisciplinary Program in Neuroscience, Georgetown University, Washington, DC, United States
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144
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Kotov SV, Belova YA, Shcherbakova MM, Chervinskaya AD, Isakova EV, Volchenkova TV. [Restoring of the speech functions in patients with aphasia in the early rehabilitation period of ischemic stroke]. Zh Nevrol Psikhiatr Im S S Korsakova 2017; 117:38-41. [PMID: 28374691 DOI: 10.17116/jnevro20171172138-41] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIM To study the efficacy of combined therapy including daily sessions and two 10-day injections of the drug cellex in patients with aphasia in the early rehabilitation period of ischemic stroke (II). MATERIAL AND METHODS Forty patients in the early rehabilitation period of II in the basin of the left middle cerebral artery with moderate to severe aphasia were studied. Twenty patients received combined therapy, including daily sessions with a speech therapist-aphasiologist within 10 days using the improved method, then a self-study using educational materials and two 10-day injections of cellex. Other 20 patients received only speech therapy. To assess the efficacy of therapy, the automated "Program of examination of patients with aphasia", Goodglass-Kaplan scale, modified Rankin scale were used. RESULTS There was a significant improvement of speech functions, communicative abilities and functional recovery (p<0.01) in patients of both groups. However, a significantly greater level of rehabilitation (p<0.05) was noted in patients treated with combined therapy included two courses of cellex. CONCLUSION The results allow to recommend the inclusion of cellex in the complex rehabilitation of patients with post-stroke speech disorders.
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Affiliation(s)
- S V Kotov
- Vladimirsky Moscow Regional Research and Clinical Institute, Moscow, Russia
| | - Yu A Belova
- Vladimirsky Moscow Regional Research and Clinical Institute, Moscow, Russia
| | - M M Shcherbakova
- Vladimirsky Moscow Regional Research and Clinical Institute, Moscow, Russia
| | - A D Chervinskaya
- Vladimirsky Moscow Regional Research and Clinical Institute, Moscow, Russia
| | - E V Isakova
- Vladimirsky Moscow Regional Research and Clinical Institute, Moscow, Russia
| | - T V Volchenkova
- Vladimirsky Moscow Regional Research and Clinical Institute, Moscow, Russia
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145
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Posterior cingulate cross-hemispheric functional connectivity predicts the level of consciousness in traumatic brain injury. Sci Rep 2017; 7:387. [PMID: 28341824 PMCID: PMC5428308 DOI: 10.1038/s41598-017-00392-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 02/21/2017] [Indexed: 01/07/2023] Open
Abstract
Previous studies have demonstrated that altered states of consciousness are related to changes in resting state activity in the default-mode network (DMN). Anatomically, the DMN can be divided into anterior and posterior regions. The anterior DMN includes the perigenual anterior cingulate cortex and other medial prefrontal cortical regions, whereas the posterior DMN includes regions such as the posterior cingulate cortex (PCC) and the temporal parietal junction (TPJ). Although differential roles have been attributed to the anterior and posterior DMN regions, their exact contributions to consciousness levels remain unclear. To investigate the specific role of the posterior DMN in consciousness levels, we investigated 20 healthy controls (7 females, mean age = 33.6 years old) and 20 traumatic brain injury (TBI) patients (5 females, mean age = 43 years old) whose brain lesions were mainly restricted to the bilateral frontal cortex but retained a well-preserved posterior DMN (e.g., the PCC and the TPJ) and who exhibited varying levels of consciousness. We investigated the intra- and cross-functional connectivity strengths (FCSs) between the right/left PCC and the right/left TPJ and their correlation with consciousness levels. Significant reductions in both the intra- and cross-hemispheric FCSs were observed in patients compared with controls. A significant correlation with consciousness levels was observed only for the cross-hemispheric PCC-TPJ FCS but not for the intra-hemispheric PCC-TPJ FCS. Taken together, our results show that the cross-hemispheric posterior DMN is related to consciousness levels in a specific group of patients without posterior structural lesions. We therefore propose that the PCC may be central in maintaining consciousness through its cross-hemispheric FC with the TPJ.
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Vidal AC, Banca P, Pascoal AG, Santo GC, Sargento-Freitas J, Gouveia A, Castelo-Branco M. Bilateral versus ipsilesional cortico-subcortical activity patterns in stroke show hemispheric dependence. Int J Stroke 2016; 12:71-83. [PMID: 28004991 DOI: 10.1177/1747493016672087] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Understanding of interhemispheric interactions in stroke patients during motor control is an important clinical neuroscience quest that may provide important clues for neurorehabilitation. In stroke patients, bilateral overactivation in both hemispheres has been interpreted as a poor prognostic indicator of functional recovery. In contrast, ipsilesional patterns have been linked with better motor outcomes. Aim We investigated the pathophysiology of hemispheric interactions during limb movement without and with contralateral restraint, to mimic the effects of constraint-induced movement therapy. We used neuroimaging to probe brain activity with such a movement-dependent interhemispheric modulation paradigm. Methods We used an fMRI block design during which the plegic/paretic upper limb was recruited/mobilized to perform unilateral arm elevation, as a function of presence versus absence of contralateral limb restriction ( n = 20, with balanced left/right lesion sites). Results Analysis of 10 right-hemispheric stroke participants yielded bilateral sensorimotor cortex activation in all movement phases in contrast with the unilateral dominance seen in the 10 left-hemispheric stroke participants. Superimposition of contralateral restriction led to a prominent shift from activation to deactivation response patterns, in particular in cortical and basal ganglia motor areas in right-hemispheric stroke. Left-hemispheric stroke was in general characterized by reduced activation patterns, even in the absence of restriction, which induced additional cortical silencing. Conclusion The observed hemispheric-dependent activation/deactivation shifts are novel and these pathophysiological observations suggest short-term neuroplasticity that may be useful for hemisphere-tailored neurorehabilitation.
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Affiliation(s)
- A Cristina Vidal
- 1 Fac Motricidade Humana, Universidade de Lisboa, CIPER, LBMF, Lisbon, Portugal.,2 Garcia de Orta Hospital, Almada, Portugal
| | - Paula Banca
- 3 Visual Neuroscience Laboratory, CNC. IBILI, ICNAS, Faculty of Medicine, University of Coimbra, Portugal
| | - Augusto G Pascoal
- 1 Fac Motricidade Humana, Universidade de Lisboa, CIPER, LBMF, Lisbon, Portugal
| | - Gustavo C Santo
- 4 Stroke Unit, Department of Neurology, Coimbra University Hospital, Coimbra, Portugal
| | - João Sargento-Freitas
- 4 Stroke Unit, Department of Neurology, Coimbra University Hospital, Coimbra, Portugal
| | - Ana Gouveia
- 4 Stroke Unit, Department of Neurology, Coimbra University Hospital, Coimbra, Portugal
| | - Miguel Castelo-Branco
- 3 Visual Neuroscience Laboratory, CNC. IBILI, ICNAS, Faculty of Medicine, University of Coimbra, Portugal
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147
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Deng B, Li L, Gou X, Xu H, Zhao Z, Wang Q, Xu L. TAT-PEP Enhanced Neurobehavioral Functional Recovery by Facilitating Axonal Regeneration and Corticospinal Tract Projection After Stroke. Mol Neurobiol 2016; 55:652-667. [PMID: 27987133 DOI: 10.1007/s12035-016-0301-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Accepted: 11/16/2016] [Indexed: 12/11/2022]
Abstract
Paired immunoglobulin-like receptor B (PirB) has been identified as a new receptor for myelin-associated inhibitory (MAI) proteins, which may play important role in axonal regeneration and corticospinal tract (CST) projection associated with neurobehavioral function recovery after stroke. Here, we found that the expression of PirB was increased in the cortical penumbra from 1 to 28 days after transient focal cerebral ischemic reperfusion of rats. Then, transactivator of transcription-PirB extracellular peptide (TAT-PEP) was generated that might block the interactions between MAIs and PirB. The results showed that TAT-PEP displayed high affinity for MAIs and ameliorated their inhibitory effect on neurite growth. Furthermore, TAT-PEP can widely distribute in the penumbra after intraperitoneal injection. Then, we found that TAT-PEP enhanced neurite growth and alleviated growth cone collapse after oxygen glucose deprivation (OGD) injury. In addition, TAT-PEP promoted long-term neurobehavioral functional recovery through enhancing axonal regeneration and CST projection. Finally, the observations demonstrated that POSH/RhoA/growth-associated protein 43 (GAP43) as PirB-associated downstream signaling molecules played important role in neurobehavioral functional recovery after stroke. Moreover, the underlying mechanism associated with TAT-PEP-mediated promoting axonal regeneration and CST projection was by intervening in the expression of POSH, RhoA, and GAP43. These studies suggest that TAT-PEP may represent an attractive therapeutic strategy against stroke.
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Affiliation(s)
- Bin Deng
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases and Shaanxi Key Laboratory of Oral Diseases, Department of Anesthesiology, School of Stomatology, Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China.,Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710061, China
| | - Liya Li
- Department of Emergency, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116027, China
| | - Xingchun Gou
- The Laboratory of Cell Biology and Translational Medicine, Xi'an Medical University, Xi'an, 710021, China
| | - Hao Xu
- The Laboratory of Cell Biology and Translational Medicine, Xi'an Medical University, Xi'an, 710021, China
| | - Zhaohua Zhao
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases and Shaanxi Key Laboratory of Oral Diseases, Department of Anesthesiology, School of Stomatology, Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China
| | - Qiang Wang
- Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710061, China.
| | - Lixian Xu
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases and Shaanxi Key Laboratory of Oral Diseases, Department of Anesthesiology, School of Stomatology, Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China.
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148
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Characterising brain network topologies: A dynamic analysis approach using heat kernels. Neuroimage 2016; 141:490-501. [DOI: 10.1016/j.neuroimage.2016.07.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 05/27/2016] [Accepted: 07/03/2016] [Indexed: 12/13/2022] Open
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149
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Balaev V, Petrushevsky A, Martynova O. Changes in Functional Connectivity of Default Mode Network with Auditory and Right Frontoparietal Networks in Poststroke Aphasia. Brain Connect 2016; 6:714-723. [DOI: 10.1089/brain.2016.0419] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Affiliation(s)
- Vladislav Balaev
- Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences, Moscow, Russian Federation
| | - Alexey Petrushevsky
- Center for Speech Pathology and Neurorehabilitation, Moscow, Russian Federation
| | - Olga Martynova
- Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences, Moscow, Russian Federation
- Centre for Cognition and Decision Making, National Research University Higher School of Economics, Moscow, Russian Federation
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150
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Ipsilesional High Frequency Repetitive Transcranial Magnetic Stimulation Add-On Therapy Improved Diffusion Parameters of Stroke Patients with Motor Dysfunction: A Preliminary DTI Study. Neural Plast 2016; 2016:6238575. [PMID: 27840742 PMCID: PMC5093297 DOI: 10.1155/2016/6238575] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Accepted: 08/31/2016] [Indexed: 12/22/2022] Open
Abstract
Purpose. The aim of this study was to evaluate the effects of high frequency repetitive transcranial magnetic stimulation (HF-rTMS) on stroke patients with motor dysfunction and to investigate the underlying neural mechanism. Methods. Fifteen stroke patients were assigned to the rTMS treatment (RT) group and conventional treatment (CT) group. Patients in the RT received 10 Hz rTMS stimulation on the ipsilesional primary motor cortex for 10 days plus conventional treatment of CT, which consisted of acupuncture and antiplatelet aggregation medication. Difference in fractional anisotropy (FA) between pretreatment and posttreatment and between two groups was determined. Correlations between FA values and neurological assessments were also calculated. Results. Both groups significantly improved the neurological function after treatment. rTMS-treated patients showed better improvement in Fugl-Meyer Assessment (FMA) score and increased FA value in motor-related white matter and gray matter cortices compared with CT-treated patients and pretreatment status. Besides, the increased FA value in the ipsilesional posterior limb of the internal capsule in RT group was significantly correlated with the improved FMA score. Significance. HF-rTMS could be a supplement therapy to CT in improving motor recovery in patients with stroke. And this benefit effect may be achieved through modulating the ipsilesional corticospinal tracts and motor-related gray matter cortices.
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