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Ebrahimzadeh M, Nakhostin Ansari N, Abdollahi I, Akhbari B, Dommerholt J. Changes in Corticospinal Tract Consistency after Dry Needling in a Stroke Patient. Case Rep Neurol Med 2024; 2024:5115313. [PMID: 39309410 PMCID: PMC11416164 DOI: 10.1155/2024/5115313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 06/25/2024] [Accepted: 09/06/2024] [Indexed: 09/25/2024] Open
Abstract
Background Dry needling (DN) is a technique employed to mitigate spasticity and enhance functionality in stroke patients. We report the impact of DN on both corticospinal tract (CST) consistency and wrist flexors spasticity of an individual affected by stroke. Case The participant was a 57-year-old male who had experienced an ischemic stroke 9 months prior. The primary outcome measures included fractional anisotropy (FA), asymmetry FA (aFA), ratio FA (rFA), and Modified Modified Ashworth Scale (MMAS). Additionally, secondary outcomes encompassed wrist extension range of motion (ROM) and performance in the box and block test (BBT). These measurements were taken both before and after the administration of DN treatment. Results After the application of DN, the mean FA of the ipsilesional CST increased from 0.35 to 0.39, concomitantly with a decline in aFA from 0.18 to 0.13. Notably, the rFA exhibited a pre-DN value of 0.69, which subsequently rose to 0.76 post-DN. Moreover, a significant reduction in MMAS scores was detected, from a score of "3" prior to DN application to a post-DN score of "1". In terms of wrist mobility, both active and passive extension ROM exhibited favorable improvements, with an increase of 12° for active extension and 16° for passive extension. Furthermore, there was a substantial improvement in the BBT score, an indicator of manual dexterity, ascending from 12 to 24. Conclusion Enhancements in CST consistency suggest it as a potential mechanism contributing to the observed improvements following DN in this stroke case.
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Affiliation(s)
- Masoome Ebrahimzadeh
- School of MedicineHormozgan University of Medical Sciences, Bandar Abbas, Iran
- Department of PhysiotherapyUniversity of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Noureddin Nakhostin Ansari
- Department of PhysiotherapySchool of RehabilitationTehran University of Medical Sciences, Tehran, Iran
- Research Center for War-affected PeopleTehran University of Medical Sciences, Tehran, Iran
| | - Iraj Abdollahi
- Department of PhysiotherapyUniversity of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Behnam Akhbari
- Department of PhysiotherapyUniversity of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Jan Dommerholt
- Bethesda Physiocare, Bethesda, MD, USA
- Myopain Seminars, Bethesda, MD, USA
- Department of Physical Therapy and Rehabilitation ScienceSchool of MedicineUniversity of Maryland, Baltimore, MD 21201, USA
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Zhu X, Jin Q, Liu X. Advantages of edaravone dextrosanol in elderly patients with acute cerebral infarction versus edaravone: a preliminary study. Int J Neurosci 2024:1-8. [PMID: 38506060 DOI: 10.1080/00207454.2024.2328730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/05/2024] [Indexed: 03/21/2024]
Abstract
OBJECTIVE To analyze and compare the application advantages of Edaravone and Edaravone Dextrosanol in elderly patients with acute cerebral infarction (ACI). METHODS A retrospective analysis of clinical data from 113 elderly AIS patients admitted to our hospital between January 2022 and January 2023 was conducted. Based on the treatment interventions received, patients were divided into a control group (n = 56) and an observation group (n = 57). The control group received Edaravone in addition to routine treatment, while the observation group received Edaravone Dextrosanol in addition to routine treatment. compared clinical outcomes, motor and neurological function, self-care ability, neural damage indicators, inflammatory markers, and adverse reactions between the two groups. RESULTS ① Total effective rate in the observation group (91.23%) was significantly higher than that in the control group (75.00%) (p < 0.05). ② After treatment, higher FMA and Barthel scores, lower NDS score in observation group vs control group (p < 0.05). ③ After treatment, lower NSE and MMP-9 levels in observation group vs control group (p < 0.05). ④ After treatment, lower IL-1β, IL-6, and hs-CRP levels in observation group vs control group (p < 0.05). ⑤ No significant difference in adverse reaction incidence between groups (p > 0.05). CONCLUSION Edaravone Dextrosanol proves effective in treating elderly AIS patients. Compared to Edaravone, it boosts effectiveness, neurological recovery, motor & self-care abilities, and reduces neural damage & inflammation markers. Its safety profile is comparable to Edaravone, without significantly increasing adverse reactions. These findings suggest that Edaravone Dextrosanol is worthy of clinical promotion.
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Affiliation(s)
- Xiaofeng Zhu
- Department of Neurology, Tongxiang First People's Hospital, Tongxiang, Zhejiang, P.R.China
| | - Qiang Jin
- Department of Neurology, Tongxiang First People's Hospital, Tongxiang, Zhejiang, P.R.China
| | - Xiaojing Liu
- Department of Neurology, Tongxiang First People's Hospital, Tongxiang, Zhejiang, P.R.China
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Zhang H, Zhang W, Ohlerth A, Schwendner M, Schröder A, Meyer B, Krieg SM, Ille S. Motor mapping of the hand muscles using peripheral innervation-based navigated transcranial magnetic stimulation to identify functional reorganization of primary motor regions in malignant tumors. Hum Brain Mapp 2024; 45:e26642. [PMID: 38433701 PMCID: PMC10910269 DOI: 10.1002/hbm.26642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 02/16/2024] [Accepted: 02/18/2024] [Indexed: 03/05/2024] Open
Abstract
Tumor-related motor reorganization remains unclear. Navigated transcranial magnetic stimulation (nTMS) can investigate plasticity non-invasively. nTMS-induced motor-evoked potentials (MEPs) of different muscles are commonly used to measure the center of gravity (CoG), the location with the highest density of corticospinal neurons in the precentral gyrus. We hypothesized that a peripheral innervation-based MEP analysis could outline the tumor-induced motor reorganization with a higher clinical and oncological relevance. Then, 21 patients harboring tumors inside the left corticospinal tract (CST) or precentral gyrus were enrolled in group one (G1), and 24 patients with tumors outside the left CST or precentral gyrus were enrolled in Group 2 (G2). Median- and ulnar-nerve-based MEP analysis combined with diffusion tensor imaging fiber tracking was used to explore motor function distribution. There was no significant difference in CoGs or size of motor regions and underlying tracts between G1 and G2. However, G1 involved a sparser distribution of motor regions and more motor-positive sites in the supramarginal gyrus-tumors inside motor areas induced motor reorganization. We propose an "anchor-and-ship theory" hypothesis for this process of motor reorganization: motor CoGs are stably located in the cortical projection area of the CST, like a seated anchor, as the core area for motor output. Primary motor regions can relocate to nearby gyri via synaptic plasticity and association fibers, like a ship moving around its anchor. This principle can anticipate functional reorganization and be used as a neuro-oncological tool for local therapy, such as radiotherapy or surgery.
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Affiliation(s)
- Haosu Zhang
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
- Department of NeurosurgeryHeidelberg University HospitalHeidelbergGermany
| | - Wei Zhang
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
| | - Ann‐Katrin Ohlerth
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
- Center for Language and Cognition GroningenUniversity of GroningenGroningenNetherlands
| | - Maximilian Schwendner
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
- Department of NeurosurgeryHeidelberg University HospitalHeidelbergGermany
| | - Axel Schröder
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
| | - Bernhard Meyer
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
| | - Sandro M. Krieg
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
- Department of NeurosurgeryHeidelberg University HospitalHeidelbergGermany
- TUM‐Neuroimaging CenterTechnical University of Munich, School of MedicineMunichGermany
| | - Sebastian Ille
- Department of NeurosurgeryTechnical University of Munich, School of MedicineMunichGermany
- Department of NeurosurgeryHeidelberg University HospitalHeidelbergGermany
- TUM‐Neuroimaging CenterTechnical University of Munich, School of MedicineMunichGermany
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Caznok Silveira AC, Antunes ASLM, Athié MCP, da Silva BF, Ribeiro dos Santos JV, Canateli C, Fontoura MA, Pinto A, Pimentel-Silva LR, Avansini SH, de Carvalho M. Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders. Front Neurosci 2024; 18:1340345. [PMID: 38445254 PMCID: PMC10912403 DOI: 10.3389/fnins.2024.1340345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/29/2024] [Indexed: 03/07/2024] Open
Abstract
The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It has provided invaluable insights into the functional architecture of the brain and how it is perturbed in disorders. However, a persistent challenge has been achieving the proper spatial resolution, and developing computational algorithms to address biological questions at the multi-cellular level, a scale often referred to as the mesoscale. Historically, neuroimaging studies of brain connectivity have predominantly focused on the macroscale, providing insights into inter-regional brain connections but often falling short of resolving the intricacies of neural circuitry at the cellular or mesoscale level. This limitation has hindered our ability to fully comprehend the underlying mechanisms of neurological and psychiatric disorders and to develop targeted interventions. In light of this issue, our review manuscript seeks to bridge this critical gap by delving into the domain of mesoscale neuroimaging. We aim to provide a comprehensive overview of conditions affected by aberrant neural connections, image acquisition techniques, feature extraction, and data analysis methods that are specifically tailored to the mesoscale. We further delineate the potential of brain connectivity research to elucidate complex biological questions, with a particular focus on schizophrenia and epilepsy. This review encompasses topics such as dendritic spine quantification, single neuron morphology, and brain region connectivity. We aim to showcase the applicability and significance of mesoscale neuroimaging techniques in the field of neuroscience, highlighting their potential for gaining insights into the complexities of neurological and psychiatric disorders.
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Affiliation(s)
- Ana Clara Caznok Silveira
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
- School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil
| | | | - Maria Carolina Pedro Athié
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Bárbara Filomena da Silva
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | | | - Camila Canateli
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Marina Alves Fontoura
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Allan Pinto
- Brazilian Synchrotron Light Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | | | - Simoni Helena Avansini
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Murilo de Carvalho
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
- Brazilian Synchrotron Light Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
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Ahn SY, Bok SK, Lee JY, Ryoo HW, Lee HY, Park HJ, Oh HM, Kim TW. Benefits of Robot-Assisted Upper-Limb Rehabilitation from the Subacute Stage after a Stroke of Varying Severity: A Multicenter Randomized Controlled Trial. J Clin Med 2024; 13:808. [PMID: 38337500 PMCID: PMC10856364 DOI: 10.3390/jcm13030808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND The aim of this study was to compare the clinical effectiveness of robot-assisted therapy with that of conventional occupational therapy according to the onset and severity of stroke. METHODS In this multicenter randomized controlled trial, stroke patients were randomized (1:1) to receive robot-assisted therapy or conventional occupational therapy. The robot-assisted training group received 30 min of robot-assisted therapy twice and 30 min of conventional occupational therapy daily, while the conventional therapy group received 90 min of occupational therapy. Therapy was conducted 5 days/week for 4 weeks. The primary outcome was the Wolf Motor Function Test (WMFT) score after 4 and 8 weeks of therapy. RESULTS Overall, 113 and 115 patients received robot-assisted and conventional therapy, respectively. The WMFT score after robot-assisted therapy was not significantly better than that after conventional therapy, but there were significant improvements in the Motricity Index (trunk) and the Fugl-Meyer Assessment. After robot-assisted therapy, wrist strength significantly improved in the subacute or moderate-severity group of stroke patients. CONCLUSIONS Robot-assisted therapy improved the upper-limb functions and activities of daily living (ADL) performance as much as conventional occupational therapy. In particular, it showed signs of more therapeutic effectiveness in the subacute stage or moderate-severity group.
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Affiliation(s)
- So Young Ahn
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
- Department of Rehabilitation Medicine, College of Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Soo-Kyung Bok
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
- Department of Rehabilitation Medicine, College of Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Ji Young Lee
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Hyeon Woo Ryoo
- Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea
| | - Hoo Young Lee
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Hye Jung Park
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Hyun Mi Oh
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Tae-Woo Kim
- Department of Brain Injury Rehabilitation, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea (H.J.P.); (T.-W.K.)
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
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Li LL, Wu JJ, Ma J, Li YL, Xue X, Li KP, Jin J, Hua XY, Zheng MX, Xu JG. White matter fiber integrity and structural brain network topology: implications for balance function in postischemic stroke patients. Cereb Cortex 2024; 34:bhad452. [PMID: 38037387 DOI: 10.1093/cercor/bhad452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 12/02/2023] Open
Abstract
Previous studies have suggested that ischemic stroke can result in white matter fiber injury and modifications in the structural brain network. However, the relationship with balance function scores remains insufficiently explored. Therefore, this study aims to explore the alterations in the microstructural properties of brain white matter and the topological characteristics of the structural brain network in postischemic stroke patients and their potential correlations with balance function. We enrolled 21 postischemic stroke patients and 21 age, sex, and education-matched healthy controls (HC). All participants underwent balance function assessment and brain diffusion tensor imaging. Tract-based spatial statistics (TBSS) were used to compare the fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity of white matter fibers between the two groups. The white matter structural brain network was constructed based on the automated anatomical labeling atlas, and we conducted a graph theory-based analysis of its topological properties, including global network properties and local node properties. Additionally, the correlation between the significant structural differences and balance function score was analyzed. The TBSS results showed that in comparison to the HC, postischemic stroke patients exhibited extensive damage to their whole-brain white matter fiber tracts (P < 0.05). Graph theory analysis showed that in comparison to the HC, postischemic stroke patients exhibited statistically significant reductions in the values of global efficiency, local efficiency, and clustering coefficient, as well as an increase in characteristic path length (P < 0.05). In addition, the degree centrality and nodal efficiency of some nodes in postischemic stroke patients were significantly reduced (P < 0.05). The white matter fibers of the entire brain in postischemic stroke patients are extensively damaged, and the topological properties of the structural brain network are altered, which are closely related to balance function. This study is helpful in further understanding the neural mechanism of balance function after ischemic stroke from the white matter fiber and structural brain network topological properties.
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Affiliation(s)
- Ling-Ling Li
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jia-Jia Wu
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Jie Ma
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Yu-Lin Li
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Xin Xue
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Kun-Peng Li
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jing Jin
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Xu-Yun Hua
- Department of Traumatology and Orthopedics, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Mou-Xiong Zheng
- Department of Traumatology and Orthopedics, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Jian-Guang Xu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai 201203, China
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Bigoni C, Beanato E, Harquel S, Hervé J, Oflar M, Crema A, Espinosa A, Evangelista GG, Koch P, Bonvin C, Turlan JL, Guggisberg A, Morishita T, Wessel MJ, Zandvliet SB, Hummel FC. Novel personalized treatment strategy for patients with chronic stroke with severe upper-extremity impairment: The first patient of the AVANCER trial. MED 2023; 4:591-599.e3. [PMID: 37437575 DOI: 10.1016/j.medj.2023.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/12/2023] [Accepted: 06/15/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Around 25% of patients who have had a stroke suffer from severe upper-limb impairment and lack effective rehabilitation strategies. The AVANCER proof-of-concept clinical trial (NCT04448483) tackles this issue through an intensive and personalized-dosage cumulative intervention that combines multiple non-invasive neurotechnologies. METHODS The therapy consists of two sequential interventions, lasting until the patient shows no further motor improvement, for a minimum of 11 sessions each. The first phase involves a brain-computer interface governing an exoskeleton and multi-channel functional electrical stimulation enabling full upper-limb movements. The second phase adds anodal transcranial direct current stimulation of the motor cortex of the lesioned hemisphere. Clinical, electrophysiological, and neuroimaging examinations are performed before, between, and after the two interventions (T0, T1, and T2). This case report presents the results from the first patient of the study. FINDINGS The primary outcome (i.e., 4-point improvement in the Fugl-Meyer assessment of the upper extremity) was met in the first patient, with an increase from 6 to 11 points between T0 and T2. This improvement was paralleled by changes in motor-network structure and function. Resting-state and transcranial magnetic stimulation-evoked electroencephalography revealed brain functional changes, and magnetic resonance imaging (MRI) measures detected structural and task-related functional changes. CONCLUSIONS These first results are promising, pointing to feasibility, safety, and potential efficacy of this personalized approach acting synergistically on the nervous and musculoskeletal systems. Integrating multi-modal data may provide valuable insights into underlying mechanisms driving the improvements and providing predictive information regarding treatment response and outcomes. FUNDING This work was funded by the Wyss-Center for Bio and Neuro Engineering (WCP-030), the Defitech Foundation, PHRT-#2017-205, ERA-NET-NEURON (Discover), and SNSF (320030L_197899, NiBS-iCog).
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Affiliation(s)
- Claudia Bigoni
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Elena Beanato
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Sylvain Harquel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Julie Hervé
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Meltem Oflar
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Andrea Crema
- Clinical Neuroscience, University of Geneva Medical School, 1202 Geneva, Switzerland; Bertarelli Foundation Chair in Translational Neuroengineering, Neuro-X Institute (INX) and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Arnau Espinosa
- Wyss Center for Bio and Neuroengineering, Chemin des Mines 9, 1202 Geneva, Switzerland
| | - Giorgia G Evangelista
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Philipp Koch
- Department of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | | | - Jean-Luc Turlan
- Department of Neurological Rehabilitation, Clinique Romande de Réadaptation SUVA, 1951 Sion, Switzerland
| | - Adrian Guggisberg
- Universitäre Neurorehabilitation, Universitätsklinik für Neurologie, Inselspital, University Hospital Berne, Bern, Switzerland
| | - Takuya Morishita
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Maximilian J Wessel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Sarah B Zandvliet
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland; Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Friedhelm C Hummel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland; Clinical Neuroscience, University of Geneva Medical School, 1202 Geneva, Switzerland.
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Yu K, Chen XF, Guo J, Wang S, Huang XT, Guo Y, Dong SS, Yang TL. Assessment of bidirectional relationships between brain imaging-derived phenotypes and stroke: a Mendelian randomization study. BMC Med 2023; 21:271. [PMID: 37491271 PMCID: PMC10369749 DOI: 10.1186/s12916-023-02982-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/17/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND Stroke is a major cause of mortality and long-term disability worldwide. Whether the associations between brain imaging-derived phenotypes (IDPs) and stroke are causal is uncertain. METHODS We performed two-sample bidirectional Mendelian randomization (MR) analyses to explore the causal associations between IDPs and stroke. Summary data of 587 brain IDPs (up to 33,224 individuals) from the UK Biobank and five stroke types (sample size range from 301,663 to 446,696, case number range from 5,386 to 40,585) from the MEGASTROKE consortium were used. RESULTS Forward MR indicated 14 IDPs belong to projection fibers or association fibers were associated with stroke. For example, higher genetically determined mean diffusivity (MD) in the right external capsule was causally associated with an increased risk of small vessel stroke (IVW OR = 2.76, 95% CI 2.07 to 3.68, P = 5.87 × 10-12). Reverse MR indicated that genetically determined higher risk of any ischemic stroke was associated with increased isotropic or free water volume fraction (ISOVF) in body of corpus callosum (IVW β = 0.23, 95% CI 0.14 to 0.33, P = 3.22 × 10-7). This IDP is a commissural fiber and it is not included in the IDPs identified by forward MR. CONCLUSIONS We identified 14 IDPs with statistically significant evidence of causal effects on stroke or stroke subtypes. We also identified potential causal effects of stroke on one IDP of commissural fiber. These findings might guide further work toward identifying preventative strategies at the brain imaging levels.
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Affiliation(s)
- Ke Yu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Xiao-Feng Chen
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Jing Guo
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Sen Wang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Xiao-Ting Huang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Yan Guo
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Shan-Shan Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
| | - Tie-Lin Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
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Jacquemont T, Valabregue R, Daghsen L, Moulton E, Zavanone C, Lamy JC, Rosso C. Association between superior longitudinal fasciculus, motor recovery, and motor outcome after stroke: a cohort study. Front Neurol 2023; 14:1157625. [PMID: 37521287 PMCID: PMC10375792 DOI: 10.3389/fneur.2023.1157625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/22/2023] [Indexed: 08/01/2023] Open
Abstract
Introduction Parieto-frontal interactions are mediated by the superior longitudinal fasciculus (SLF) and are crucial to integrate visuomotor information and mediate fine motor control. In this study, we aimed to characterize the relation of white matter integrity of both parts of the SLF (SLF I and SLF II) to both motor outcome and recovery and its evolution over time in stroke patients with upper limb motor deficits. Materials and methods Fractional anisotropy (FA) values over the SLF I, SLF II, and corticospinal tract (CST) and upper limb motor performance evaluated by both the upper limb Fugl-Meyer Assessment score and maximum grip strength were measured for 16 patients at 3 weeks, 6 weeks, and 12 weeks poststroke. FA changes were assessed over time using repeated-measures Friedman ANOVA, and correlations between motor recovery, motor outcome at 12 weeks, and FA values in the CST, SLF I, and SLF II at 3 weeks were performed using Spearman's rank-order correlation. Results FA values in the affected hemisphere's SLF I and SLF II at 3 weeks correlated with motor recovery at 12 weeks when assessed by the Fugl-Meyer Assessment for upper limb extremity (rho: 0.502, p: 0.04 and rho: 0.510, p: 0.04, respectively) but not when assessed by grip strength. FA values in the SLF I and SLF II were not correlated with motor outcomes. FA values in the SLF II in the affected hemisphere changed significantly over time (p: 0.016). Conclusion Both SLF I and SLF II appeared to participate in poststroke motor recovery of complex movements but not in the motor outcome. These results argue that visually/spatially oriented motor tasks as well as more complex motor tasks using parietal associative areas should be used for poststroke rehabilitation strategies.
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Affiliation(s)
- Thomas Jacquemont
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | | | - Lina Daghsen
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Eric Moulton
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Chiara Zavanone
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- APHP-Service de Soins de Suite et Réeducation, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean Charles Lamy
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- Centre de Neuro-Imagerie de Recherche, CENIR, ICM, Paris, France
| | - Charlotte Rosso
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- APHP-Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, Paris, France
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Karakis R, Gurkahraman K, Mitsis GD, Boudrias MH. DEEP LEARNING PREDICTION OF MOTOR PERFORMANCE IN STROKE INDIVIDUALS USING NEUROIMAGING DATA. J Biomed Inform 2023; 141:104357. [PMID: 37031755 DOI: 10.1016/j.jbi.2023.104357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/24/2023] [Accepted: 04/01/2023] [Indexed: 04/11/2023]
Abstract
The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have been used as potential biomarkers of motor recovery, with limited accuracy up to date. To address this, the present study aimed to develop a deep learning model based on structural brain images obtained from stroke participants and healthy volunteers. The following inputs were used in a multi-channel 3D convolutional neural network (CNN) model: fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps obtained from Diffusion Tensor Imaging (DTI) images, white and gray matter intensity values obtained from Magnetic Resonance Imaging, as well as demographic data (e.g., age, gender). Upper limb motor function was classified into "Poor" and "Good" categories. To assess the performance of the DL model, we compared it to more standard machine learning (ML) classifiers including k-nearest neighbor, support vector machines (SVM), Decision Trees, Random Forests, Ada Boosting, and Naïve Bayes, whereby the inputs of these classifiers were the features taken from the fully connected layer of the CNN model. The highest accuracy and area under the curve values were 0.92 and 0.92 for the 3D-CNN and 0.91 and 0.91 for the SVM, respectively. The multi-channel 3D-CNN with residual blocks and SVM supported by DL was more accurate than traditional ML methods to classify upper limb motor impairment in the stroke population. These results suggest that combining volumetric DTI maps and measures of white and gray matter integrity can improve the prediction of the degree of motor impairment after stroke. Identifying the potential of recovery early on after a stroke could promote the allocation of resources to optimize the functional independence of these individuals and their quality of life.
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Affiliation(s)
- Rukiye Karakis
- Department of Software Engineering, Faculty of Technology, Sivas Cumhuriyet University, Turkey
| | - Kali Gurkahraman
- Department of Computer Engineering, Faculty of Engineering, Sivas Cumhuriyet University, Turkey
| | - Georgios D Mitsis
- Department of Bioengineering, Faculty of Engineering, McGill University, Montreal, QC, Canada
| | - Marie-Hélène Boudrias
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; BRAIN Laboratory, Jewish Rehabilitation Hospital, Site of Centre for Interdisciplinary Research of Greater Montreal (CRIR) and CISSS-Laval, QC, Canada.
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11
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Ni J, Jiang W, Gong X, Fan Y, Qiu H, Dou J, Zhang J, Wang H, Li C, Su M. Effect of rTMS intervention on upper limb motor function after stroke: A study based on fNIRS. Front Aging Neurosci 2023; 14:1077218. [PMID: 36711205 PMCID: PMC9880218 DOI: 10.3389/fnagi.2022.1077218] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 12/19/2022] [Indexed: 01/15/2023] Open
Abstract
Background Stroke is a disease with a high fatality rate worldwide and a major cause of long-term disability. In the rehabilitation of limb motor function after stroke, the rehabilitation of upper limb function takes a long time and the recovery progress is slow, which seriously affects the patients' self-care ability in daily life. Repeated transcranial magnetic stimulation (rTMS) has been increasingly used to improve limb dysfunction in patients with stroke. However, a standardized reference for selecting a magnetic stimulation regimen is not available. Whether to increase the inhibition of the contralateral hemispheric motor cortex remains controversial. This study has evaluated the effects of different rTMS stimulation programs on upper limb function and corresponding brain functional network characteristics of patients with stroke and sought a new objective standard based on changes in brain network parameters to guide accurate rTMS stimulation programs. Method Thirty-six patients with stroke were selected and divided into control group and treatment group by number table method, with 18 patients in each group, and 3 patients in the control group were turned out and lost due to changes in disease condition. The treatment group was divided into two groups. TMS1 group was given 1 Hz magnetic stimulation in the M1 region of the contralesional hemisphere +10 Hz magnetic stimulation in the M1 region of the affected hemisphere, and the TMS2 group was given 10 Hz magnetic stimulation in the M1 region of the affected hemisphere. The control group was given false stimulation. The treatment course was once a day for 5 days a week for 4 weeks. The Fugl-Meyer Assessment for upper extremity (FMA-UE) sand near-infrared brain function were collected before treatment, 2 weeks after treatment, and 4 weeks after treatment, and the brain function network was constructed. Changes in brain oxygenated hemoglobin concentration and brain network parameters were analyzed with the recovery of motor function (i.e., increased FMA score). Meanwhile, according to the average increment of brain network parameters, the rTMS stimulation group was divided into two groups with good efficacy and poor efficacy. Network parameters of the two groups before and after rTMS treatment were analyzed statistically. Results (1) Before treatment, there was no statistical difference in Fugl-Meyer score between the control group and the magnetic stimulation group (p = 0.178).Compared with before treatment, Fugl-Meyer scores of 2 and 4 weeks after treatment were significantly increased in both groups (p <0.001), and FMA scores of 4 weeks after treatment were significantly improved compared with 2 weeks after treatment (p < 0.001). FMA scores increased faster in the magnetic stimulation group at 2 and 4 weeks compared with the control group at the same time point (p <0.001).TMS1 and TMS2 were compared at the same time point, FMA score in TMS2 group increased more significantly after 4 weeks of treatment (p = 0.010). (2) Before treatment, HbO2 content in healthy sensory motor cortex (SMC) area of magnetic stimulation group and control group was higher than that in other region of interest (ROI) area, but there was no significant difference in ROI between the two groups. After 4 weeks of treatment, the HbO2 content in the healthy SMC area was significantly decreased (p < 0.001), while the HbO2 content in the affected SMC area was significantly increased, and the change was more significant in the magnetic stimulation group (p < 0.001). (3) In-depth study found that with the recovery of motor function (FMA upper limb score increase ≥4 points) after magnetic stimulation intervention, brain network parameters were significantly improved. The mean increment of network parameters in TMS1 group and TMS2 group was significantly different (χ 2 = 5.844, p = 0.016). TMS2 group was more advantageous than TMS1 group in improving the mean increment of brain network parameters. Conclusion (1) The rTMS treatment is beneficial to the recovery of upper limb motor function in stroke patients, and can significantly improve the intensity of brain network connection and reduce the island area. The island area refers to an isolated activated brain area that cannot transmit excitation to other related brain areas. (2) When the node degree of M1_Healthy region less than 0.52, it is suggested to perform promotion therapy only in the affected hemisphere. While the node degree greater than 0.52, and much larger than that in the M1_affected region. it is suggested that both inhibition in the contralesional hemisphere and high-frequency excitatory magnetic stimulation in the affected hemisphere can be performed. (3) In different brain functional network connection states, corresponding adjustment should be made to the treatment plan of rTMS to achieve optimal therapeutic effect and precise rehabilitation treatment.
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Affiliation(s)
- Jing Ni
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Jiangsu Rongjun Hospital, Wuxi, Jiangsu, China
| | - Wei Jiang
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Jiangsu Rongjun Hospital, Wuxi, Jiangsu, China
| | - Xueyang Gong
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Wuxi International Tongren Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Yingjie Fan
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Institute of Rehabilitation Soochow University, Suzhou, Jiangsu, China
| | - Hao Qiu
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Institute of Rehabilitation Soochow University, Suzhou, Jiangsu, China
| | - Jiaming Dou
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Wuxi International Tongren Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Juan Zhang
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Hongxing Wang
- Department of Rehabilitation Medicine, Zhongda Hospital Southeast University, Nanjing, Jiangsu, China,*Correspondence: Hongxing Wang, ✉
| | - Chunguang Li
- The Key Laboratory of Robotics and System of Jiangsu Province, School of Mechanical and Electric Engineering, Soochow University, Suzhou, Jiangsu, China,Chunguang Li, ✉
| | - Min Su
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Institute of Rehabilitation Soochow University, Suzhou, Jiangsu, China,First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China,Min Su, ✉
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Wang J, Cai Y, Sun J, Feng H, Zhu X, Chen Q, Gao F, Ni Q, Mao L, Yang M, Sun B. Administration of intramuscular AAV-BDNF and intranasal AAV-TrkB promotes neurological recovery via enhancing corticospinal synaptic connections in stroke rats. Exp Neurol 2023; 359:114236. [PMID: 36183811 DOI: 10.1016/j.expneurol.2022.114236] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 09/14/2022] [Accepted: 09/25/2022] [Indexed: 12/30/2022]
Abstract
Stroke causes long-term disability in survivors. BDNF/TrkB plays an important role in synaptic plasticity and synaptic transmission in the central nervous system (CNS), promoting neurological recovery. In this study, we performed non-invasive treatment methods focused on intramuscular injection into stroke-injured forelimb muscles, or intranasal administration using adeno-associated virus (AAV) vectors carrying genes encoding BDNF or TrkB. In a permanent rat middle cerebral artery occlusion (MCAO) model, we assessed the effects of combination therapy with AAV-BDNF and AAV-TrkB on motor functional recovery and synaptic plasticity of the corticospinal connections. Our results showed that BDNF or TrkB gene transduced in the spinal anterior horn neurons and cerebral cortical neurons. Compared to AAV vector treatment alone, behavioral and electrophysiological results showed that the combination therapy significantly improved upper limb motor functional recovery and neurotransmission efficiency after stroke. BDA tracing, immunofluorescence staining, qRT-PCR, and transmission electron microscopy of synaptic ultrastructure results revealed that the combination therapy not only potently increased the expression of Synapsin I, PSD-95, and GAP-43, but also promoted the axonal remodeling and restoration of abnormal synaptic structures. These findings provide a new strategy for enhancing neural plasticity and a potential means to treat stroke clinically.
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Affiliation(s)
- Jing Wang
- Medical College of Qingdao University, Qingdao 266021, Shandong, China; Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China
| | - Yichen Cai
- Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China
| | - Jingyi Sun
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
| | - Hua Feng
- Department of Otolaryngology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, Shandong, China
| | - Xiaoyu Zhu
- Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China
| | - Qian Chen
- Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China
| | - Feng Gao
- Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China
| | - Qingbin Ni
- Postdoctoral Workstation, Taian Central Hospital, Taian 271000, Shandong, China
| | - Leilei Mao
- Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China.
| | - Mingfeng Yang
- Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China.
| | - Baoliang Sun
- Medical College of Qingdao University, Qingdao 266021, Shandong, China; Institute for Neurological Research, The Second Affiliated Hospital; School of Basic Medical Sciences of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China.
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13
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Raghavan S, Reid RI. Editorial for "Myelin Water Imaging of Nerve Recovery in Rehabilitating Stroke Patients". J Magn Reson Imaging 2022; 56:1557-1558. [PMID: 35363900 DOI: 10.1002/jmri.28184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic, Rochester, Minnesota, USA
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14
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Shu Y, Li L, Shu F, Wei Y, Zhang L, Zhou Y. Application of an adjustable medical foot support pillow to prevent foot drop in patients with stroke. Technol Health Care 2022; 31:991-1001. [PMID: 36314179 DOI: 10.3233/thc-220462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND: Foot drop is one of the most common complications after stroke. OBJECTIVE: This study investigates the role of an adjustable medical foot support pillow in preventing foot drop and improving the lower limb function of patients after stroke. METHODS: A total of 88 patients with strokes admitted to our hospital from September 2019 to September 2020 were selected and categorised into the control (n= 44) and intervention groups (n= 44) using a random number table. The control group received routine rehabilitation nursing, while the intervention group adopted a self-made adjustable medical foot support pillow based on routine rehabilitation nursing. After four weeks, the simplified Fugl Meyer Assessment (FMA) and the modified activities of daily living (ADL) scales were used to measure the ankle range of motion of the lower limbs. The lower limb motor function, ADL, and ankle mobility before and after treatment, as well as the incidence of foot ptosis, were compared between the two groups. RESULTS: After the procedure, the intervention group was superior to the control group in the FMA score of the lower extremities, ADL score, and ankle joint mobility in the lower limbs, indicating statistically significant differences (P< 0.05). The incidence rate of foot drop was lower in the intervention group than in the control group, and the difference was statistically significant (P< 0.05). CONCLUSION: The adjustable medical foot support pillow can prevent foot drop in patients after stroke, improve lower limb function, provide a favourable basis for walking training, and improve the ADL of patients.
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Affiliation(s)
- Yan Shu
- Department of Nursing, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
- Department of Nursing, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
| | - Ling Li
- Department of Obstetrics and Gynecology, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
- Department of Nursing, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
| | - Fanglian Shu
- Department of Radiology, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
- Department of Nursing, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
| | - Yanhong Wei
- Department of Nursing, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
| | - Li Zhang
- Department of Nursing, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
| | - You Zhou
- Department of Neurology, International Rehabilitation Center, Suzhou High-Tech Zone People’s Hospital, Suzhou, Jiangsu, China
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Jang SH, Seo HR, Byun DH. Prognosis of the Ipsilesional Corticospinal Tracts with Preserved Integrities at the Early Stage of Cerebral Infarction: Follow Up Diffusion Tensor Tractography Study. Healthcare (Basel) 2022; 10:1096. [PMID: 35742146 PMCID: PMC9222213 DOI: 10.3390/healthcare10061096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/06/2022] [Accepted: 06/10/2022] [Indexed: 11/17/2022] Open
Abstract
This study examined the prognosis of the ipsilesional corticospinal tracts (CSTs) with preserved integrities at the early stage of cerebral infarction using follow-up diffusion tensor tractography (DTT). Thirty-one patients with a supratentorial infarction were recruited. DTT, Motricity Index (MI), modified Brunnstrom classification (MBC), and functional ambulation category (FAC) were performed twice at the early and chronic stages. The patients were classified into two groups based on the integrity of the ipsilesional CST on the second DTT: Group A (24 patients; 77.4%)—preserved integrity and Group B (7 patients; 22.6%)—disrupted integrity. No significant differences in MI, MBC, and FAC were observed between groups A and B at the first and second evaluations, except for FAC at the first evaluation (p > 0.05). MI, MBC, and FAC at the second evaluation were significantly higher than at the first evaluation in both groups A and B (p < 0.05). On the second DTT, one patient (4.2%) in group A showed a false-positive result, whereas five patients (71.4%) in group B had false-negative results. Approximately 20% of patients showed disruption of the ipsilesional CST at the chronic stage. However, the clinical outcomes in hand and gait functions were generally good. Careful interpretation considering the somatotopy of the ipsilesional CST is needed because of the high false-negative results on DTT at the chronic stage.
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Affiliation(s)
- Sung Ho Jang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daemyungdong, Namku, Daegu 42415, Korea;
| | - Hye Rin Seo
- Sinchon Severance Hospital, Younsei University College of Medicine, Seoul 03722, Korea;
| | - Dong Hyun Byun
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daemyungdong, Namku, Daegu 42415, Korea;
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Performance Comparison of Different Neuroimaging Methods for Predicting Upper Limb Motor Outcomes in Patients after Stroke. Neural Plast 2022; 2022:4203698. [PMID: 35707519 PMCID: PMC9192322 DOI: 10.1155/2022/4203698] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/17/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022] Open
Abstract
Several neuroimaging methods have been proposed to assess the integrity of the corticospinal tract (CST) for predicting recovery of motor function after stroke, including conventional structural magnetic resonance imaging (sMRI) and diffusion tensor imaging (DTI). In this study, we aimed to compare the predicative performance of these methods using different neuroimaging modalities and optimize the prediction protocol for upper limb motor function after stroke in a clinical environment. We assessed 28 first-ever stroke patients with upper limb motor impairment. We used the upper extremity module of the Fugl-Meyer assessment (UE-FM) within 1 month of onset (baseline) and again 3 months poststroke. sMRI (T1- and T2-based) was used to measure CST-weighted lesion load (CST-wLL), and DTI was used to measure the fractional anisotropy asymmetry index (FAAI) and the ratio of fractional anisotropy (rFA). The CST-wLL within 1 month poststroke was closely correlated with upper limb motor outcomes and recovery potential. CST‐wLL ≥ 2.068 cc indicated serious CST damage and a poor outcome (100%). CST‐wLL < 1.799 cc was correlated with a considerable rate (>70%) of upper limb motor function recovery. CST-wLL showed a comparable area under the curve (AUC) to that of the CST-FAAI (p = 0.71). Inclusion of extra-CST-FAAI did not significantly increase the AUC (p = 0.58). Our findings suggest that sMRI-derived CST-wLL is a precise predictor of upper limb motor outcomes 3 months poststroke. We recommend this parameter as a predictive imaging biomarker for classifying patients' recovery prognosis in clinical practice. Conversely, including DTI appeared to induce no significant benefits.
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Liu J, Wang C, Cheng J, Miao P, Li Z. Dynamic Relationship Between Interhemispheric Functional Connectivity and Corticospinal Tract Changing Pattern After Subcortical Stroke. Front Aging Neurosci 2022; 14:870718. [PMID: 35601612 PMCID: PMC9120434 DOI: 10.3389/fnagi.2022.870718] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background and PurposeIncreased interhemispheric resting-state functional connectivity (rsFC) between the bilateral primary motor cortex (M1) compensates for corticospinal tract (CST) impairment, which facilitates motor recovery in chronic subcortical stroke. However, there is a lack of data on the evolution patterns and correlations between M1–M1 rsFC and diffusion indices of CSTs with different origins after subcortical stroke and their relations with long-term motor outcomes.MethodsA total of 44 patients with subcortical stroke underwent longitudinal structural and functional magnetic resonance imaging (MRI) examinations and clinical assessments at four time points. Diffusion tensor imaging was used to extract fractional anisotropy (FA) values of the affected CSTs with different origins. Resting-state functional MRI was used to calculate the M1–M1 rsFC. Longitudinal patterns of functional and anatomic changes in connections were explored using a linear mixed-effects model. Dynamic relationships between M1–M1 rsFC and FA values of the affected specific CSTs and the impact of these variations on the long-term motor outcomes were analyzed in patients with subcortical stroke.ResultsStroke patients showed a significantly decreased FA in the affected specific CSTs and a gradually increasing M1–M1 rsFC from the acute to the chronic stage. The FA of the affected M1 fiber was negatively correlated with the M1–M1 rsFC from the subacute to the chronic stage, FA of the affected supplementary motor area fiber was negatively correlated with the M1–M1 rsFC in the subacute stage, and FA of the affected M1 fiber in the acute stage was correlated with the long-term motor recovery after subcortical stroke.ConclusionOur findings show that the FA of the affected M1 fiber in the acute stage had the most significant correlation with long-term motor recovery and may be used as an imaging biomarker for predicting motor outcomes after stroke. The compensatory role of the M1–M1 rsFC enhancement may start from the subacute stage in stroke patients with CST impairment.
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Affiliation(s)
- Jingchun Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Jingchun Liu
| | - Caihong Wang
- Department of MRI, Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Caihong Wang
| | - Jingliang Cheng
- Department of MRI, Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Peifang Miao
- Department of MRI, Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhen Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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18
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Tokuda K, Hanada K, Takebayashi T, Koyama T, Fujita T, Okita Y. Factors associated with prognosis of upper limb function in branch atheromatous disease. Clin Neurol Neurosurg 2022; 218:107267. [DOI: 10.1016/j.clineuro.2022.107267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 04/20/2022] [Accepted: 04/23/2022] [Indexed: 11/03/2022]
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Astrakas LG, Li S, Elbach S, Tzika AA. The Severity of Sensorimotor Tracts Degeneration May Predict Motor Performance in Chronic Stroke Patients, While Brain Structural Network Dysfunction May Not. Front Neurol 2022; 13:813763. [PMID: 35432180 PMCID: PMC9008887 DOI: 10.3389/fneur.2022.813763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Although the relationship between corticospinal tract (CST) fiber degeneration and motor outcome after stroke has been established, the relationship of sensorimotor cortical areas with CST fibers has not been clarified. Also limited research has been conducted on how abnormalities in brain structural networks are related to motor recovery. To address these gaps in knowledge, we conducted a diffusion tensor imaging (DTI) study with 12 chronic stroke patients (CSPs) and 12 age-matched healthy controls (HCs). We compared fractional anisotropy (FA) and mean diffusivity (MD) in 60 CST segments using the probabilistic sensorimotor area tract template (SMATT). Least Absolute Shrinkage and Selection Operator (LASSO) regressions were used to select independent predictors of Fugl-Meyer upper extremity (FM-UE) scores among FA and MD values of SMATT regions. The Graph Theoretical Network Analysis Toolbox was used to assess the structural network of each subject's brain. Global and nodal metrics were calculated, compared between the groups, and correlated with FM-UE scores. Mann–Whitney U-tests revealed reduced FA values in CSPs, compared to HCs, in many ipsilesional SMATT regions and in two contralesional regions. Mean FA value of the left (L.) primary motor cortex (M1)/supplementary motor area (SMA) region was predictive of FM-UE score (P = 0.004). Mean MD values for the L. M1/ventral premotor cortex (PMv) region (P = 0.001) and L. PMv/SMA region (P = 0.001) were found to be significant predictors of FM-UE scores. Network efficiency was the only global metric found to be reduced in CSPs (P = 0.006 vs. HCs). Nodal efficiency of the L. hippocampus, L. parahippocampal gyrus, L. fusiform gyrus (P = 0.001), and nodal local efficiency of the L. supramarginal gyrus (P < 0.001) were reduced in CSPs relative to HCs. No graph metric was associated with FM-UE scores. In conclusion, the integrity of CSTs connected to M1, SMA, and PMv were shown to be independent predictors of motor performance in CSPs, while stroke-induced topological changes in the brain's structural connectome may not be. A sensorimotor cortex-specific tract template can refine CST degeneration data and the relationship of CST degeneration with motor performance.
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Affiliation(s)
- Loukas G. Astrakas
- Department of Medical Physics, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Shasha Li
- Department of Radiology, Athinoula A. Martinos Center of Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sabrina Elbach
- Department of Radiology, Athinoula A. Martinos Center of Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - A. Aria Tzika
- Department of Radiology, Athinoula A. Martinos Center of Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- *Correspondence: A. Aria Tzika
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Liu J, Wang C. Microstructure and Genetic Polymorphisms: Role in Motor Rehabilitation After Subcortical Stroke. Front Aging Neurosci 2022; 14:813756. [PMID: 35177977 PMCID: PMC8843845 DOI: 10.3389/fnagi.2022.813756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 01/07/2022] [Indexed: 01/09/2023] Open
Abstract
Background and Purpose: Motor deficits are the most common disability after stroke, and early prediction of motor outcomes is critical for guiding the choice of early interventions. Two main factors that may impact the response to rehabilitation are variations in the microstructure of the affected corticospinal tract (CST) and genetic polymorphisms in brain-derived neurotrophic factor (BDNF). The purpose of this article was to review the role of these factors in stroke recovery, which will be useful for constructing a predictive model of rehabilitation outcomes.Summary of Review: We review the microstructure of the CST, including its origins in the primary motor area (M1), primary sensory area (S1), premotor cortex (PMC), and supplementary motor area (SMA). Damage to these fibers is disease-causing and can directly affect rehabilitation after subcortical stroke. BDNF polymorphisms are not disease-causing but can indirectly affect neuroplasticity and thus motor recovery. Both factors are known to be correlated with motor recovery. Further work is needed using large longitudinal patient samples and animal experiments to better establish the role of these two factors in stroke rehabilitation.Conclusions: Microstructure and genetic polymorphisms should be considered possible predictors or covariates in studies investigating motor recovery after subcortical stroke. Future predictive models of stroke recovery will likely include a combination of structural and genetic factors to allow precise individualization of stroke rehabilitation strategies.
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Affiliation(s)
- Jingchun Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Caihong Wang
- Department of MRI, Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Caihong Wang
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21
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Kim Y, Han YJ, Park HY, Park GY, Jung M, Lee S, Im S. Neural correlates in the development of and recovery from dysphagia after supratentorial stroke: A prospective tractography study. NEUROIMAGE: CLINICAL 2022; 35:103103. [PMID: 35779464 PMCID: PMC9251599 DOI: 10.1016/j.nicl.2022.103103] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 06/20/2022] [Accepted: 06/24/2022] [Indexed: 11/18/2022] Open
Abstract
Stroke may lead to unilateral or bilateral CBT changes regardless of dysphagia. Poor fractional anisotropy of the unaffected sides relates to limited recovery. Swallowing recovery may depend on the integrity of the unaffected CBT. Bi-hemispheric reorganization of the CBT is associated with swallowing recovery.
Background Methods Results Conclusions
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Affiliation(s)
- Youngkook Kim
- Department of Rehabilitation Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yeon-Jae Han
- Department of Rehabilitation Medicine, Hankook-hyo Convalescent Hospital, Republic of Korea
| | - Hae-Yeon Park
- Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Geun-Young Park
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Moa Jung
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Soohwan Lee
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sun Im
- Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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22
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Kim B, Schweighofer N, Haldar JP, Leahy RM, Winstein CJ. Corticospinal Tract Microstructure Predicts Distal Arm Motor Improvements in Chronic Stroke. J Neurol Phys Ther 2021; 45:273-281. [PMID: 34269747 PMCID: PMC8460613 DOI: 10.1097/npt.0000000000000363] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE The corticospinal tract (CST) is a crucial brain pathway for distal arm and hand motor control. We aimed to determine whether a diffusion tensor imaging (DTI)-derived CST metric predicts distal upper extremity (UE) motor improvements in chronic stroke survivors. METHODS We analyzed clinical and neuroimaging data from a randomized controlled rehabilitation trial. Participants completed clinical assessments and neuroimaging at baseline and clinical assessments 4 months later, postintervention. Using univariate linear regression analysis, we determined the linear relationship between the DTI-derived CST fractional anisotropy asymmetry (FAasym) and the percentage of baseline change in log-transformed average Wolf Motor Function Test time for distal items (ΔlnWMFT-distal_%). The least absolute shrinkage and selection operator (LASSO) linear regressions with cross-validation and bootstrapping were used to determine the relative weighting of CST FAasym, other brain metrics, clinical outcomes, and demographics on distal motor improvement. Logistic regression analyses were performed to test whether the CST FAasym can predict clinically significant UE motor improvement. RESULTS lnWMFT-distal significantly improved at the group level. Baseline CST FAasym explained 26% of the variance in ΔlnWMFT-distal_%. A multivariate LASSO model including baseline CST FAasym, age, and UE Fugl-Meyer explained 39% of the variance in ΔlnWMFT-distal_%. Further, CST FAasym explained more variance in ΔlnWMFT-distal_% than the other significant predictors in the LASSO model. DISCUSSION AND CONCLUSIONS CST microstructure is a significant predictor of improvement in distal UE motor function in the context of an UE rehabilitation trial in chronic stroke survivors with mild-to-moderate motor impairment.Video Abstract available for more insight from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A350).
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Affiliation(s)
- Bokkyu Kim
- Department of Physical Therapy Education, SUNY Upstate Medical University, Syracuse, NY, United States
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States
| | - Nicolas Schweighofer
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States
| | - Justin P. Haldar
- Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, United States
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, United States
| | - Richard M. Leahy
- Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, United States
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, United States
| | - Carolee J. Winstein
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States
- Department. of Neurology, University of Southern California, Los Angeles, CA, United States
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23
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Current applications of diffusion tensor tractography analysis of corticospinal tracts for prognostication of motor outcomes or optimization of neurosurgical intervention in hypertensive intracranial hemorrhage. BRAIN HEMORRHAGES 2021. [DOI: 10.1016/j.hest.2021.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
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