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Ismail UN, Yahya N, Manan HA. Investigating functional connectivity related to stroke recovery: A systematic review. Brain Res 2024; 1840:149023. [PMID: 38815644 DOI: 10.1016/j.brainres.2024.149023] [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: 02/03/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/01/2024]
Abstract
INTRODUCTION Stroke recovery is a complex process influenced by various factors, including specific neural reorganization. The objective of this systematic review was to identify important functional connectivity (FC) changes in resting-state fMRI data that were often correlated with motor, emotional, and cognitive outcome improvement. METHOD A systematic search using PubMed and SCOPUS databases was conducted to identify relevant studies published between 2010 and 2023. RESULTS A total of 766 studies were identified, of which 20 studies (602 S individuals) met the inclusion criteria. Fourteen studies focussed on motor recovery while six on cognitive recovery. All studies reported interhemispheric FC to be strongly associated with motor and cognitive recovery. The preservation and changes of M1-M1 (eight incidences) and M1-SMA (nine incidences) FC were found to be strongly correlated with motor function improvement. For cognitive recovery, restoration and preservation of FC with and between default mode network (DMN)-related regions were important for the process. CONCLUSIONS This review identified specific patterns of FC that were consistently reported with recovery of motor and cognitive function. The findings may serve in refining future management strategies to enhance patient outcomes.
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Affiliation(s)
- Umi Nabilah Ismail
- Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Laboratory), Department of Radiology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56 000 Cheras, Kuala Lumpur, Malaysia
| | - Noorazrul Yahya
- Diagnostic Imaging & Radiotherapy Program, Centre of Diagnostic, Therapeutic and Investigative Sciences (CODTIS), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 50300 Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia
| | - Hanani Abdul Manan
- Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Laboratory), Department of Radiology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56 000 Cheras, Kuala Lumpur, Malaysia; Department of Radiology and Intervention, Hospital Pakar Kanak-Kanak (Children Specialist Hospital), Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Kuala Lumpur, Malaysia.
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Yu P, Dong R, Wang X, Tang Y, Liu Y, Wang C, Zhao L. Neuroimaging of motor recovery after ischemic stroke - functional reorganization of motor network. Neuroimage Clin 2024; 43:103636. [PMID: 38950504 PMCID: PMC11267109 DOI: 10.1016/j.nicl.2024.103636] [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: 03/10/2024] [Revised: 06/01/2024] [Accepted: 06/27/2024] [Indexed: 07/03/2024]
Abstract
The long-term motor outcome of acute stroke patients may be correlated to the reorganization of brain motor network. Abundant neuroimaging studies contribute to understand the pathological changes and recovery of motor networks after stroke. In this review, we summarized how current neuroimaging studies have increased understanding of reorganization and plasticity in post stroke motor recovery. Firstly, we discussed the changes in the motor network over time during the motor-activation and resting states, as well as the overall functional integration trend of the motor network. These studies indicate that the motor network undergoes dynamic bilateral hemispheric functional reorganization, as well as a trend towards network randomization. In the second part, we summarized the current study progress in the application of neuroimaging technology to early predict the post-stroke motor outcome. In the third part, we discuss the neuroimaging techniques commonly used in the post-stroke recovery. These methods provide direct or indirect visualization patterns to understand the neural mechanisms of post-stroke motor recovery, opening up new avenues for studying spontaneous and treatment-induced recovery and plasticity after stroke.
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Affiliation(s)
- Pei Yu
- School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Ruoyu Dong
- Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Xiao Wang
- School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yuqi Tang
- School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yaning Liu
- School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Can Wang
- School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Ling Zhao
- School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
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3
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Tang Z, Liu T, Han K, Liu Y, Su W, Wang R, Zhang H. The effects of rTMS on motor recovery after stroke: a systematic review of fMRI studies. Neurol Sci 2024; 45:897-909. [PMID: 37880452 DOI: 10.1007/s10072-023-07123-x] [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: 05/18/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) has been widely used in motor rehabilitation after stroke, and functional magnetic resonance imaging (fMRI) has been used to investigate the neural mechanisms of motor recovery during stroke therapy. However, there is no review on the mechanism of rTMS intervention for motor recovery after stroke based on fMRI explicitly. We aim to reveal and summarize the neural mechanism of the effects of rTMS on motor function after stroke as measured by fMRI. We carefully performed a literature search using PubMed, EMBASE, Web of Science, and Cochrane Library databases from their respective inceptions to November 2022 to identify any relevant randomized controlled trials. Researchers independently screened the literature, extracted data, and qualitatively described the included studies. Eleven studies with a total of 420 poststroke patients were finally included in this systematic review. A total of 338 of those participants received fMRI examinations before and after rTMS intervention. Five studies reported the effects of rTMS on activation of brain regions, and four studies reported results related to brain functional connectivity (FC). Additionally, five studies analyzed the correlation between fMRI and motor evaluation. The neural mechanism of rTMS in improving motor function after stroke may be the activation and FCs of motor-related brain areas, including enhancement of the activation of motor-related brain areas in the affected hemisphere, inhibition of the activation of motor-related brain areas in the unaffected hemisphere, and changing the FCs of intra-hemispheric and inter-hemispheric motor networks.
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Affiliation(s)
- Zhiqing Tang
- School of Rehabilitation, Capital Medical University, Beijing, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Tianhao Liu
- School of Rehabilitation, Capital Medical University, Beijing, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Kaiyue Han
- School of Rehabilitation, Capital Medical University, Beijing, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Ying Liu
- School of Rehabilitation, Capital Medical University, Beijing, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Wenlong Su
- School of Rehabilitation, Capital Medical University, Beijing, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
- University of Health and Rehabilitation Sciences, Qingdao, Shandong Province, China
| | - Rongrong Wang
- School of Rehabilitation, Capital Medical University, Beijing, China
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Hao Zhang
- School of Rehabilitation, Capital Medical University, Beijing, China.
- Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China.
- University of Health and Rehabilitation Sciences, Qingdao, Shandong Province, China.
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.
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4
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Liu W, Cheng X, Rao J, Yu J, Lin Z, Wang Y, Wang L, Li D, Liu L, Gao R. Motor imagery therapy improved upper limb motor function in stroke patients with hemiplegia by increasing functional connectivity of sensorimotor and cognitive networks. Front Hum Neurosci 2024; 18:1295859. [PMID: 38439937 PMCID: PMC10910033 DOI: 10.3389/fnhum.2024.1295859] [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: 09/18/2023] [Accepted: 02/02/2024] [Indexed: 03/06/2024] Open
Abstract
Background Motor imagery therapy (MIT) showed positive effects on upper limbs motor function. However, the mechanism by which MIT improves upper limb motor function is not fully understood. Therefore, our purpose was to investigate the changes in functional connectivity (FC) within and outside the sensorimotor network (SMN) induced by MIT associated with improvement in upper limb motor function in stroke patients. Methods A total of 26 hemiplegic stroke patients were randomly divided into MIT (n = 13) and control (n = 13) groups. Fugl-Meyer Assessment Upper Extremity Scale (FMA-UL), Modified Barthel Index (MBI) and resting-state functional magnetic resonance imaging (rs-fMRI) were evaluated in the two groups before treatment and 4 weeks after treatment. The efficacy of MIT on motor function improvement in stroke patients with hemiplegia was evaluated by comparing the FMA-UL and MBI scores before and after treatment in the two groups. Furthermore, the FC within the SMN and between the SMN and the whole brain was measured and compared before and after different treatment methods in stroke patients. The correlation analysis between the improvement of upper limbs motor function and changes in FC within the SMN and between the SMN and the whole brain was examined. Results The FCs between ipsilesional primary motor cortex (M1.I) and contralateral supplementary motor area (SMA.C), M1.I and ipsilesional SMA (SMA.I), and SMA.C and contralateral dorsolateral premotor cortex (DLPM.C) significantly increased in the control group but decreased in the MIT group; while the FC between SMA.C and contralateral primary somatosensory cortex (S1.C) significantly increased in the control group but showed no significant difference in the MIT group. The FCs between M1.I and the ipsilesional hippocampal gyrus and ipsilesional middle frontal gyrus significantly decreased in the control group but increased in the MIT group; while the FC in the contralateral anterior cingulate cortex significantly increased in the MIT group but there was no significant difference in the control group. The results of the correlation analysis showed that the differences in abnormal intra-FCs within the SMN negatively correlated with the differences in FMA and MBI, and the difference in abnormal inter-FCs of the SMN positively correlated with the differences in FMA and MBI. Conclusions MIT can improve upper limb motor function and daily activities of stroke patients, and the improvement effect of conventional rehabilitation therapy (CRT) combined with MIT is significantly higher than that of CRT alone. CRT may improve the upper limb motor function of stroke patients with hemiplegia mainly through the functional reorganization between SMN, while MIT may mainly increase the interaction between SMN and other brain networks.
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Affiliation(s)
- Wan Liu
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinxin Cheng
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiang Rao
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiawen Yu
- Department of Rehabilitation, Changzhou Ruihong Hospital, Changzhou, China
| | - Zhiqiang Lin
- Graduate Department, Nanjing Sports Institute, Nanjing, China
| | - Yao Wang
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lulu Wang
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Danhui Li
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Li Liu
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Run Gao
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Christidi F, Orgianelis I, Merkouris E, Koutsokostas C, Tsiptsios D, Karavasilis E, Psatha EA, Tsiakiri A, Serdari A, Aggelousis N, Vadikolias K. A Comprehensive Review on the Role of Resting-State Functional Magnetic Resonance Imaging in Predicting Post-Stroke Motor and Sensory Outcomes. Neurol Int 2024; 16:189-201. [PMID: 38392953 PMCID: PMC10892788 DOI: 10.3390/neurolint16010012] [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: 12/18/2023] [Revised: 01/05/2024] [Accepted: 01/12/2024] [Indexed: 02/25/2024] Open
Abstract
Stroke is a major leading cause of chronic disability, often affecting patients' motor and sensory functions. Functional magnetic resonance imaging (fMRI) is the most commonly used method of functional neuroimaging, and it allows for the non-invasive study of brain activity. The time-dependent coactivation of different brain regions at rest is described as resting-state activation. As a non-invasive task-independent functional neuroimaging approach, resting-state fMRI (rs-fMRI) may provide therapeutically useful information on both the focal vascular lesion and the connectivity-based reorganization and subsequent functional recovery in stroke patients. Considering the role of a prompt and accurate prognosis in stroke survivors along with the potential of rs-fMRI in identifying patterns of neuroplasticity in different post-stroke phases, this review provides a comprehensive overview of the latest literature regarding the role of rs-fMRI in stroke prognosis in terms of motor and sensory outcomes. Our comprehensive review suggests that with the advancement of MRI acquisition and data analysis methods, rs-fMRI emerges as a promising tool to study the motor and sensory outcomes in stroke patients and evaluate the effects of different interventions.
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Affiliation(s)
- Foteini Christidi
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Ilias Orgianelis
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Ermis Merkouris
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Christos Koutsokostas
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Dimitrios Tsiptsios
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Efstratios Karavasilis
- Department of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (E.K.); (E.A.P.)
| | - Evlampia A. Psatha
- Department of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (E.K.); (E.A.P.)
| | - Anna Tsiakiri
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Aspasia Serdari
- Department of Child and Adolescent Psychiatry, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece;
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece;
| | - Konstantinos Vadikolias
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
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Bian R, Huo M, Liu W, Mansouri N, Tanglay O, Young I, Osipowicz K, Hu X, Zhang X, Doyen S, Sughrue ME, Liu L. Connectomics underlying motor functional outcomes in the acute period following stroke. Front Aging Neurosci 2023; 15:1131415. [PMID: 36875697 PMCID: PMC9975347 DOI: 10.3389/fnagi.2023.1131415] [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: 12/25/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Objective Stroke remains the number one cause of morbidity in many developing countries, and while effective neurorehabilitation strategies exist, it remains difficult to predict the individual trajectories of patients in the acute period, making personalized therapies difficult. Sophisticated and data-driven methods are necessary to identify markers of functional outcomes. Methods Baseline anatomical T1 magnetic resonance imaging (MRI), resting-state functional MRI (rsfMRI), and diffusion weighted scans were obtained from 79 patients following stroke. Sixteen models were constructed to predict performance across six tests of motor impairment, spasticity, and activities of daily living, using either whole-brain structural or functional connectivity. Feature importance analysis was also performed to identify brain regions and networks associated with performance in each test. Results The area under the receiver operating characteristic curve ranged from 0.650 to 0.868. Models utilizing functional connectivity tended to have better performance than those utilizing structural connectivity. The Dorsal and Ventral Attention Networks were among the top three features in several structural and functional models, while the Language and Accessory Language Networks were most commonly implicated in structural models. Conclusions Our study highlights the potential of machine learning methods combined with connectivity analysis in predicting outcomes in neurorehabilitation and disentangling the neural correlates of functional impairments, though further longitudinal studies are necessary.
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Affiliation(s)
- Rong Bian
- Department of Rehabilitation, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ming Huo
- University of Health and Rehabilitation Sciences, Qingdao, China
| | - Wan Liu
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | | | - Onur Tanglay
- Omniscient Neurotechnology, Sydney, NSW, Australia
| | | | | | - Xiaorong Hu
- Xijia Medical Technology Company Limited, Shenzhen, China
| | - Xia Zhang
- Xijia Medical Technology Company Limited, Shenzhen, China.,International Joint Research Center on Precision Brain Medicine, Xidian Group Hospital, Xi'an, China
| | | | - Michael E Sughrue
- Omniscient Neurotechnology, Sydney, NSW, Australia.,International Joint Research Center on Precision Brain Medicine, Xidian Group Hospital, Xi'an, China
| | - Li Liu
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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Sui Y, Kan C, Zhu S, Zhang T, Wang J, Xu S, Zhuang R, Shen Y, Wang T, Guo C. Resting-state functional connectivity for determining outcomes in upper extremity function after stroke: A functional near-infrared spectroscopy study. Front Neurol 2022; 13:965856. [PMID: 36438935 PMCID: PMC9682186 DOI: 10.3389/fneur.2022.965856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 10/10/2022] [Indexed: 08/08/2023] Open
Abstract
OBJECTIVE Functional near-infrared spectroscopy (fNIRS) is a non-invasive and promising tool to map the brain functional networks in stroke recovery. Our study mainly aimed to use fNIRS to detect the different patterns of resting-state functional connectivity (RSFC) in subacute stroke patients with different degrees of upper extremity motor impairment defined by Fugl-Meyer motor assessment of upper extremity (FMA-UE). The second aim was to investigate the association between FMA-UE scores and fNIRS-RSFC among different regions of interest (ROIs) in stroke patients. METHODS Forty-nine subacute (2 weeks-6 months) stroke patients with subcortical lesions were enrolled and were classified into three groups based on FMA-UE scores: mild impairment (n = 17), moderate impairment (n = 13), and severe impairment (n = 19). All patients received FMA-UE assessment and 10-min resting-state fNIRS monitoring. The fNIRS signals were recorded over seven ROIs: bilateral dorsolateral prefrontal cortex (DLPFC), middle prefrontal cortex (MPFC), bilateral primary motor cortex (M1), and bilateral primary somatosensory cortex (S1). Functional connectivity (FC) was calculated by correlation coefficients between each channel and each ROI pair. To reveal the comprehensive differences in FC among three groups, we compared FC on the group level and ROI level. In addition, to determine the associations between FMA-UE scores and RSFC among different ROIs, Spearman's correlation analyses were performed with a significance threshold of p < 0.05. For easy comparison, we defined the left hemisphere as the ipsilesional hemisphere and flipped the lesional right hemisphere in MATLAB R2013b. RESULTS For the group-level comparison, the one-way ANOVA and post-hoc t-tests (mild vs. moderate; mild vs. severe; moderate vs. severe) showed that there was a significant difference among three groups (F = 3.42, p = 0.04) and the group-averaged FC in the mild group (0.64 ± 0.14) was significantly higher than that in the severe group (0.53 ± 0.14, p = 0.013). However, there were no significant differences between the mild and moderate group (MD ± SE = 0.05 ± 0.05, p = 0.35) and between the moderate and severe group (MD ± SE = 0.07 ± 0.05, p = 0.16). For the ROI-level comparison, the severe group had significantly lower FC of ipsilesional DLPFC-ipsilesional M1 [p = 0.015, false discovery rate (FDR)-corrected] and ipsilesional DLPFC-contralesional M1 (p = 0.035, FDR-corrected) than those in the mild group. Moreover, the result of Spearman's correlation analyses showed that there were significant correlations between FMA-UE scores and FC of the ipsilesional DLPFC-ipsilesional M1 (r = 0.430, p = 0.002), ipsilesional DLPFC-contralesional M1 (r = 0.388, p = 0.006), ipsilesional DLPFC-MPFC (r = 0.365, p = 0.01), and ipsilesional DLPFC-contralesional DLPFC (r = 0.330, p = 0.021). CONCLUSION Our findings indicate that different degrees of post-stroke upper extremity impairment reflect different RSFC patterns, mainly in the connection between DLPFC and bilateral M1. The association between FMA-UE scores and the FC of ipsilesional DLPFC-associated ROIs suggests that the ipsilesional DLPFC may play an important role in motor-related plasticity. These findings can help us better understand the neurophysiological mechanisms of upper extremity motor impairment and recovery in subacute stroke patients from different perspectives. Furthermore, it sheds light on the ipsilesional DLPFC-bilateral M1 as a possible neuromodulation target.
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Affiliation(s)
- Youxin Sui
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
| | - Chaojie Kan
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
- Department of Rehabilitation Medicine, Changzhou Dean Hospital, Changzhou, China
| | - Shizhe Zhu
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
| | - Tianjiao Zhang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
| | - Jin Wang
- Department of Rehabilitation Medicine, Changzhou Dean Hospital, Changzhou, China
| | - Sheng Xu
- Department of Rehabilitation Medicine, Changzhou Dean Hospital, Changzhou, China
| | - Ren Zhuang
- Department of Rehabilitation Medicine, Changzhou Dean Hospital, Changzhou, China
| | - Ying Shen
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
| | - Tong Wang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
| | - Chuan Guo
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China
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Christidi F, Tsiptsios D, Fotiadou A, Kitmeridou S, Karatzetzou S, Tsamakis K, Sousanidou A, Psatha EA, Karavasilis E, Seimenis I, Kokkotis C, Aggelousis N, Vadikolias K. Diffusion Tensor Imaging as a Prognostic Tool for Recovery in Acute and Hyperacute Stroke. Neurol Int 2022; 14:841-874. [PMID: 36278693 PMCID: PMC9589952 DOI: 10.3390/neurolint14040069] [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: 09/17/2022] [Revised: 10/17/2022] [Accepted: 10/17/2022] [Indexed: 11/16/2022] Open
Abstract
Stroke represents a major cause of mortality and long-term disability among adult populations, leaving a devastating socioeconomic impact globally. Clinical manifestation of stroke is characterized by great diversity, ranging from minor disability to considerable neurological impairment interfering with activities of daily living and even death. Prognostic ambiguity has stimulated the interest for implementing stroke recovery biomarkers, including those provided by structural neuroimaging techniques, i.e., diffusion tensor imaging (DTI) and tractography for the study of white matter (WM) integrity. Considering the necessity of prompt and accurate prognosis in stroke survivors along with the potential capacity of DTI as a relevant imaging biomarker, the purpose of our study was to review the pertinent literature published within the last decade regarding DTI as a prognostic tool for recovery in acute and hyperacute stroke. We conducted a thorough literature search in two databases (MEDLINE and Science Direct) in order to trace all relevant studies published between 1 January 2012 and 16 March 2022 using predefined terms as key words. Only full-text human studies published in the English language were included. Forty-four studies were identified and are included in this review. We present main findings and by describing several methodological issues, we highlight shortcomings and gaps in the current literature so that research priorities for future research can be outlined. Our review suggests that DTI can track longitudinal changes and identify prognostic correlates in acute and hyperacute stroke patients.
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Affiliation(s)
- Foteini Christidi
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Dimitrios Tsiptsios
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Aggeliki Fotiadou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Sofia Kitmeridou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Stella Karatzetzou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Konstantinos Tsamakis
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London SE5 8AB, UK
| | - Anastasia Sousanidou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Evlampia A. Psatha
- Department of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | | | - Ioannis Seimenis
- Medical Physics Laboratory, School of Medicine, National and Kapodistrian University, 11527 Athens, Greece
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Konstantinos Vadikolias
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
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Ramos-Castaneda JA, Barreto-Cortes CF, Losada-Floriano D, Sanabria-Barrera SM, Silva-Sieger FA, Garcia RG. Efficacy and Safety of Vagus Nerve Stimulation on Upper Limb Motor Recovery After Stroke. A Systematic Review and Meta-Analysis. Front Neurol 2022; 13:889953. [PMID: 35847207 PMCID: PMC9283777 DOI: 10.3389/fneur.2022.889953] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/13/2022] [Indexed: 12/28/2022] Open
Abstract
Background Upper limb motor impairment is one of the main complications of stroke, affecting quality of life both for the patient and their family. The aim of this systematic review was to summarize the scientific evidence on the safety and efficacy of Vagus Nerve Stimulation (VNS) on upper limb motor recovery after stroke. Methods A systematic review and meta-analysis of studies that have evaluated the efficacy or safety of VNS in stroke patients was performed. The primary outcome was upper limb motor recovery. A search of articles published on MEDLINE, CENTRAL, EBSCO and LILACS up to December 2021 was performed, and a meta-analysis was developed to calculate the overall effects. Results Eight studies evaluating VNS effects on motor function in stroke patients were included, of which 4 used implanted and 4 transcutaneous VNS. It was demonstrated that VNS, together with physical rehabilitation, increased upper limb motor function on average 7.06 points (95%CI 4.96; 9.16) as assessed by the Fugl-Meyer scale. Likewise, this improvement was significantly greater when compared to a control intervention (mean difference 2.48, 95%CI 0.98; 3.98). No deaths or serious adverse events related to the intervention were reported. The most frequent adverse events were dysphonia, dysphagia, nausea, skin redness, dysgeusia and pain related to device implantation. Conclusion VNS, together with physical rehabilitation, improves upper limb motor function in stroke patients. Additionally, VNS is a safe intervention.
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Affiliation(s)
- Jorge A. Ramos-Castaneda
- Fundación Cardiovascular de Colombia, Bucaramanga, Colombia
- Research Group Innovación y Cuidado, Faculty of Nursing, Universidad Antonio Nariño, Neiva, Colombia
- *Correspondence: Jorge A. Ramos-Castaneda
| | | | | | | | | | - Ronald G. Garcia
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- School of Medicine, Universidad de Santander, Bucaramanga, Colombia
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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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