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THE NEUROBIOLOGY OF ZIKA VIRUS: NEW MODELS, NEW CHALLENGES
Morte celular
Neuroimagem
Anomalias cerebrais
Neurodesenvolvimento
Síndrome Congênita pelo Zika Vírus
Inteligência artificial
Neurobiologia
Cell death
Neuroimaging
Brain abnormalities
Neurodevelopment
Congenital Zika Syndrome
Artificial intelligence
Autor
Afiliación
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Serviço Nacional de Aprendizagem Industrial. Centro Integrado de Manufatura e Tecnologia. Centro Universitário. Salvador, BA, Brasil / Instituto SENAI de Sistemas Avançados de Saúde. Salvador, BA, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Serviço Nacional de Aprendizagem Industrial. Centro Integrado de Manufatura e Tecnologia. Centro Universitário. Salvador, BA, Brasil / Instituto SENAI de Sistemas Avançados de Saúde. Salvador, BA, Brasil.
Hospital Israelita Albert Einstein. São Paulo, SP, Brasil.
Resumen en ingles
The Zika virus (ZIKV) attracted attention due to one striking characteristic: the ability to cross the placental barrier and infect the fetus, possibly causing severe neurodevelopmental disruptions included in the Congenital Zika Syndrome (CZS). Few years after the epidemic, the CZS incidence has begun to decline. However, how ZIKV causes a diversity of outcomes is far from being understood. This is probably driven by a chain of complex events that relies on the interaction between ZIKV and environmental and physiological variables. In this review, we address open questions that might lead to an ill-defined diagnosis of CZS. This inaccuracy underestimates a large spectrum of apparent normocephalic cases that remain underdiagnosed, comprising several subtle brain abnormalities frequently masked by a normal head circumference. Therefore, new models using neuroimaging and artificial intelligence are needed to improve our understanding of the neurobiology of ZIKV and its true impact in neurodevelopment.
Palabras clave en portugues
Zika VírusMorte celular
Neuroimagem
Anomalias cerebrais
Neurodesenvolvimento
Síndrome Congênita pelo Zika Vírus
Inteligência artificial
Neurobiologia
Palabras clave en ingles
Zika VirusCell death
Neuroimaging
Brain abnormalities
Neurodevelopment
Congenital Zika Syndrome
Artificial intelligence
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