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Neurological Testing Following a Stroke in Nonhuman Primates | 93474

मल्टीपल स्केलेरोसिस जर्नल

ISSN - 2376-0389

अमूर्त

Neurological Testing Following a Stroke in Nonhuman Primates and Models of Ischemic Stroke

Emma Reynolds

Rodents are more similar to humans than nonhuman primates in terms of genetics, neuroanatomy, physiology, and immunology. Therefore, nonhuman primates are regarded as the best preclinical model for simulating numerous elements of human stroke. Nonhuman primates' ischemic stroke models can better mimic the physiological signs and modifications that occur in people after cerebral ischemia. Stroke models in nonhuman monkeys have currently been constructed using a variety of techniques, including craniectomy models, endovascular stroke models, autologous thrombus models, and intraluminal filament models. In the meantime, fresh, novel approaches have been developed, including the photothrombosis and endothelin-1 models. These model studies have investigated numerous pathways that start in the first few minutes, hours, and days following a stroke throughout the past thirty years. In an effort to mimic the intricate circumstances surrounding a stroke, models of both permanent and temporary middle cerebral artery occlusion have been developed. However, it is difficult to do a thorough assessment of the aforementioned techniques' benefits and drawbacks, levels of complexity, and potential application areas. Here, we discuss the numerous modelling approaches that are now available for nonhuman monkey stroke models, contrast the variations among these diverse techniques of preparation, and evaluate the benefits and drawbacks of the various approaches and their areas of application. Also briefly mentioned are the nonhuman primate imaging detection methods for cerebral ischemia and the neurological evaluation procedures for stroke. Scholars can select acceptable modelling and assessment approaches to create nonhuman primate stroke models by sorting and comparing various methodologies.

अस्वीकरण: इस सार का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया था और अभी तक इसकी समीक्षा या सत्यापन नहीं किया गया है।