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Ramirez-Garcia G, Escutia-Macedo X, Cook DJ, Moreno-Andrade T, Villarreal-Garza E, Campos-Coy M, Elizondo-Riojas G, Gongora-Rivera F, Garza-Villarreal EA, Fernandez-Ruiz J. Consistent spatial lesion-symptom patterns: A comprehensive analysis using triangulation in lesion-symptom mapping in a cohort of stroke patients. Magn Reson Imaging 2024; 109:286-293. [PMID: 38531463 DOI: 10.1016/j.mri.2024.03.031] [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: 02/08/2024] [Revised: 02/29/2024] [Accepted: 03/19/2024] [Indexed: 03/28/2024]
Abstract
INTRODUCTION The relationship between brain lesions and stroke outcomes is crucial for advancing patient prognosis and developing effective therapies. Stroke is a leading cause of disability worldwide, and it is important to understand the neurological basis of its varied symptomatology. Lesion-symptom mapping (LSM) methods provide a means to identify brain areas that are strongly associated with specific symptoms. However, inner variations in LSM methods can yield different results. To address this, our study aimed to characterize the lesion-symptom mapping variability using three different LSM methods. Specifically, we sought to determine a lesion symptom core across LSM approaches enhancing the robustness of the analysis and removing potential spatial bias. MATERIAL & METHODS A cohort consisting of 35 patients with either right- or left-sided middle cerebral artery strokes were enrolled and evaluated using the NIHSS at 24 h post-stroke. Anatomical T1w MRI scans were also obtained 24 h post-stroke. Lesion masks were segmented manually and three distinctive LSM methods were implemented: ROI correlation-based, univariate, and multivariate approaches. RESULTS The results of the LSM analyses showed substantial spatial differences in the extension of each of the three lesion maps. However, upon overlaying all three lesion-symptom maps, a consistent lesion core emerged, corresponding to the territory associated with elevated NIHSS scores. This finding not only enhances the spatial accuracy of the lesion map but also underscores its clinical relevance. CONCLUSION This study underscores the significance of exploring complementary LSM approaches to investigate the association between brain lesions and stroke outcomes. By utilizing multiple methods, we can increase the robustness of our results, effectively addressing and neutralizing potential spatial bias introduced by each individual method. Such an approach holds promise for enhancing our understanding of stroke pathophysiology and optimizing patient care strategies.
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Affiliation(s)
- Gabriel Ramirez-Garcia
- Laboratorio de Neuropsicologia, Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico; Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Ximena Escutia-Macedo
- Laboratorio de Neuropsicologia, Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico
| | - Douglas J Cook
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada; Translational Stroke Research Lab, Department of Surgery, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Talia Moreno-Andrade
- Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico; Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Estefania Villarreal-Garza
- Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico
| | - Mario Campos-Coy
- Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico; Departamento de Imagen Diagnostica, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Guillermo Elizondo-Riojas
- Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico; Departamento de Imagen Diagnostica, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Fernando Gongora-Rivera
- Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico; Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Eduardo A Garza-Villarreal
- Instituto de Neurobiologia, Universidad Nacional Autonoma de Mexico, Juriquilla, Queretaro, Mexico; Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico
| | - Juan Fernandez-Ruiz
- Laboratorio de Neuropsicologia, Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico; Facultad de Psicologia, Universidad Veracruzana, Xalapa, Veracruz, Mexico.
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Li G, Lan L, He T, Tang Z, Liu S, Li Y, Huang Z, Guan Y, Li X, Zhang Y, Lai HY. Comprehensive Assessment of Ischemic Stroke in Nonhuman Primates: Neuroimaging, Behavioral, and Serum Proteomic Analysis. ACS Chem Neurosci 2024; 15:1548-1559. [PMID: 38527459 PMCID: PMC10996879 DOI: 10.1021/acschemneuro.3c00826] [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: 12/28/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 03/27/2024] Open
Abstract
Ischemic strokes, prevalence and impactful, underscore the necessity of advanced research models closely resembling human physiology. Our study utilizes nonhuman primates (NHPs) to provide a detailed exploration of ischemic stroke, integrating neuroimaging data, behavioral outcomes, and serum proteomics to elucidate the complex interplay of factors involved in stroke pathophysiology. We observed a consistent pattern in infarct volume, peaking at 1-month postmiddle cerebral artery occlusion (MCAO) and then stabilized. This pattern was strongly correlated to notable changes in motor function and working memory performance. Using diffusion tensor imaging (DTI), we detected significant alterations in fractional anisotropy (FA) and mean diffusivity (MD) values, signaling microstructural changes in the brain. These alterations closely correlated with the neurological and cognitive deficits that we observed, highlighting the sensitivity of DTI metrics in stroke assessment. Behaviorally, the monkeys exhibited a reliance on their unaffected limb for compensatory movements, a common response to stroke impairment. This adaptation, along with consistent DTI findings, suggests a significant impact of stroke on motor function and spatial perception. Proteomic analysis through MS/MS functional enrichment identified two distinct groups of proteins with significant changes post-MCAO. Notably, MMP9, THBS1, MB, PFN1, and YWHAZ were identified as potential biomarkers and therapeutic targets for ischemic stroke. Our results underscore the complex nature of stroke and advocate for an integrated approach, combining neuroimaging, behavioral studies, and proteomics, for advancing our understanding and treatment of this condition.
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Affiliation(s)
- Ge Li
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Lan Lan
- Department
of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang
University School of Medicine, Hangzhou 310029, China
- Department
of Psychology and Behavior Science, Zhejiang
University, Hangzhou 310029, China
| | - Tingting He
- Department
of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang
University School of Medicine, Hangzhou 310029, China
- College
of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310029, China
| | - Zheng Tang
- Department
of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang
University School of Medicine, Hangzhou 310029, China
| | - Shuhua Liu
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Yunfeng Li
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Zhongqiang Huang
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Yalun Guan
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Xuejiao Li
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Yu Zhang
- Guangdong
Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China
| | - Hsin-Yi Lai
- Department
of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang
University School of Medicine, Hangzhou 310029, China
- College
of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310029, China
- Liangzhu
Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine
Integration, State Key Laboratory of Brain-machine Intelligence, School
of Brain Science and Brain Medicine, Zhejiang
University, Hangzhou 310029, China
- Affiliated
Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310029, China
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Determination of the Unilaterally Damaged Region May Depend on the Asymmetry of Carotid Blood Flow Velocity in Hemiparkinsonian Monkey: A Pilot Study. PARKINSON'S DISEASE 2022; 2022:4382145. [PMID: 36407681 PMCID: PMC9668443 DOI: 10.1155/2022/4382145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/13/2022] [Indexed: 11/11/2022]
Abstract
The hemiparkinsonian nonhuman primate model induced by unilateral injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) into the carotid artery is used to study Parkinson's disease. However, there have been no studies that the contralateral distribution of MPTP via the cerebral collateral circulation is provided by both the circle of Willis (CoW) and connections of the carotid artery. To investigate whether MPTP-induced unilaterally damaged regions were determined by asymmetrical cerebral blood flow, the differential asymmetric damage of striatal subregions, and examined structural asymmetries in a circle of Willis, and blood flow velocity of the common carotid artery were observed in three monkeys that were infused with MPTP through the left internal carotid artery. Lower flow velocity in the ipsilateral common carotid artery and a higher ratio of ipsilateral middle cerebral artery diameter to anterior cerebral artery diameter resulted in unilateral damage. Additionally, the unilateral damaged monkey observed the apomorphine-induced contralateral rotation behavior and the temporary increase of plasma RANTES. Contrastively, higher flow velocity in the ipsilateral common carotid artery was observed in the bilateral damaged monkey. It is suggested that asymmetry of blood flow velocity and structural asymmetry of the circle of Willis should be taken into consideration when establishing more efficient hemiparkinsonian nonhuman primate models.
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A clinically relevant model of focal embolic cerebral ischemia by thrombus and thrombolysis in rhesus monkeys. Nat Protoc 2022; 17:2054-2084. [PMID: 35760857 DOI: 10.1038/s41596-022-00707-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 03/29/2022] [Indexed: 11/08/2022]
Abstract
Over decades of research into the treatment of stroke, nearly all attempts to translate experimental treatments from discovery in cells and rodents to use in humans have failed. The prevailing belief is that it might be necessary to pretest pharmacological neuroprotection in higher-order brains, especially those of nonhuman primates (NHPs). Over the past few years, chemical thrombolysis and mechanical thrombectomy have been established as the standard of care for ischemic stroke in patients. The spotlight is now shifting towards emphasizing both focal ischemia and subsequent reperfusion in developing a clinically relevant stroke model in NHPs. This protocol describes an embolic model of middle cerebral artery occlusion in adult rhesus monkeys. An autologous clot is combined with a microcatheter or microwire through endovascular procedures, and reperfusion is achieved through local intra-artery thrombolysis with tissue plasminogen activator. These NHP models formed relatively stable infarct sizes, delivered predictable reperfusion and survival outcomes, and recapitulated key characteristics of patients with ischemic stroke as observed on MRI images and behavioral assays. Importantly, treated animals could survive 30 d after the surgery for post-stroke neurologic deficit analyses. Thus far, this model has been used in several translational studies. Here we describe in detail the teamwork necessary for developing stroke models of NHPs, including the preoperation preparations, endovascular surgery, postoperation management and histopathological analysis. The model can be established by the following procedures over a 45-d period, including preparation steps (14 d), endovascular operation (1 d) and evaluation steps (30 d).
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Seo J, Won J, Kim K, Park J, Yeo HG, Kim YG, Baek SH, Lee H, Jeon CY, Choi WS, Lee S, Kim KJ, Park SH, Son Y, Jeong KJ, Lim KS, Kang P, Lee HY, Son HC, Huh JW, Kim YH, Lee DS, Lee SR, Choi JW, Lee Y. Impaired Hand Dexterity Function in a Non-human Primate Model with Chronic Parkinson's Disease. Exp Neurobiol 2020; 29:376-388. [PMID: 33154199 PMCID: PMC7649085 DOI: 10.5607/en20040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 09/28/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022] Open
Abstract
Symptoms of Parkinson’s disease (PD) caused by loss of dopaminergic neurons are accompanied by movement disorders, including tremors, rigidity, bradykinesia, and akinesia. Non-human primate (NHP) models with PD play an essential role in the analysis of PD pathophysiology and behavior symptoms. As impairments of hand dexterity function can affect activities of daily living in patients with PD, research on hand dexterity function in NHP models with chronic PD is essential. Traditional rating scales previously used in the evaluation of animal spontaneous behavior were insufficient due to factors related to subjectivity and passivity. Thus, experimentally designed applications for an appropriate apparatus are necessary. In this study, we aimed to longitudinally assess hand dexterity function using hand dexterity task (HDT) in NHP-PD models. To validate this assessment, we analyzed the alteration in Parkinsonian tremor signs and the functionality of presynaptic dopaminergic neuron using positron emission tomography imaging of dopamine transporters in these models. In addition, a significant inverse correlation between HDT and DAT level was identified, but no local bias was found. The correlation with intention tremor signs was lower than the resting tremor. In conclusion, the evaluation of HDT may reflect behavioral symptoms of NHP-PD models. Furthermore, HDT was effectively used to experimentally distinguish intention tremors from other tremors.
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Affiliation(s)
- Jincheol Seo
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,School of Life Sciences, BK21 Plus KNU Creative BioResearch Group, Kyungpook National University, Daegu 41566, Korea
| | - Jinyoung Won
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Keonwoo Kim
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,School of Life Sciences, BK21 Plus KNU Creative BioResearch Group, Kyungpook National University, Daegu 41566, Korea
| | - Junghyung Park
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Hyeon-Gu Yeo
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,Department of Functional Genomics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea
| | - Yu Gyeong Kim
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,Department of Functional Genomics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea
| | - Seung Ho Baek
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Hoonwon Lee
- School of Biological Sciences, Seoul National University, Seoul 08826, Korea
| | - Chang-Yeop Jeon
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Won Seok Choi
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Sangil Lee
- Primate Resource Center, KRIBB, Jeongeup 56216, Korea
| | - Ki Jin Kim
- Primate Resource Center, KRIBB, Jeongeup 56216, Korea
| | - Sung-Hyun Park
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Yeonghoon Son
- Primate Resource Center, KRIBB, Jeongeup 56216, Korea
| | - Kang Jin Jeong
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea
| | - Kyung Seob Lim
- Futuristic Animal Resource & Research Center, KRIBB, Cheongju 28116, Korea
| | - Philyong Kang
- Futuristic Animal Resource & Research Center, KRIBB, Cheongju 28116, Korea
| | - Hwal-Yong Lee
- Futuristic Animal Resource & Research Center, KRIBB, Cheongju 28116, Korea
| | - Hee-Chang Son
- Futuristic Animal Resource & Research Center, KRIBB, Cheongju 28116, Korea
| | - Jae-Won Huh
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,Department of Functional Genomics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea
| | - Young-Hyun Kim
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,Department of Functional Genomics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea
| | - Dong-Seok Lee
- School of Life Sciences, BK21 Plus KNU Creative BioResearch Group, Kyungpook National University, Daegu 41566, Korea
| | - Sang-Rae Lee
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,Department of Functional Genomics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea
| | - Ji-Woong Choi
- Brain Engineering Convergence Research Center, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea.,Department of Information and Communication Engineering, DGIST, Daegu 42988, Korea
| | - Youngjeon Lee
- National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju 28116, Korea.,Department of Functional Genomics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea
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