Quando uma pessoa lê uma frase, duas redes distintas no cérebro são ativadas, trabalhando juntas para integrar os significados das palavras individuais para obter um significado mais complexo e de ordem superior, de acordo com um estudo...
![](data:image/jpeg;base64,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)
Pixabay
Quando uma pessoa lê uma frase, duas redes distintas no cérebro são ativadas, trabalhando juntas para integrar os significados das palavras individuais para obter um significado mais complexo e de ordem superior, de acordo com um estudo da UTHealth Houston.
O estudo, liderado por Oscar Woolnough, Ph.D., pesquisador de pós-doutorado no Departamento de Neurocirurgia Vivian L. Smith da McGovern Medical School da UTHealth Houston, e Nitin Tandon, MD, professor e presidente interino do departamento de medicina escola, foi publicado hoje no Proceedings of the National Academy of Sciences ( PNAS ).
"Este estudo nos ajuda a entender melhor como os hubs distribuídos no cérebro trabalham juntos e interagem para nos permitir entender frases complexas”, disse Woolnough, primeiro autor do estudo e membro do Texas Institute for Restorative Neurotechnologies (TIRN). na UTHealth Houston. “Nossos cérebros estão notavelmente interconectados e, para entendermos a linguagem, é necessária uma sequência precisa de processos rápidos e dinâmicos que ocorrem em vários locais em todo o cérebro”.
A fim de identificar as funções e interações específicas das áreas cerebrais envolvidas na leitura, a equipe de pesquisa realizou gravações dos cérebros de pacientes com eletrodos colocados cirurgicamente para localizar a epilepsia. A atividade neural desses pacientes foi medida durante a leitura de três formas de sentenças: sentenças regulares; Frases "Jabberwocky" (baseadas no poema "Jabberwocky" de Lewis Carroll), que usam gramática e sintaxe corretas, mas contêm palavras sem sentido, tornando-as sem sentido; e listas de palavras ou palavras sem sentido.
A partir dessas gravações, eles identificaram duas redes cerebrais que desempenham um papel fundamental no processo de leitura. Uma rede envolve uma região do lobo frontal do cérebro que envia sinais ao lobo temporal, que mostra ativação progressiva quando uma pessoa está construindo um significado complexo ao longo de uma frase.
A segunda rede envolve outra região do lobo temporal do cérebro que envia sinais para uma área do lobo frontal, permitindo a compreensão do contexto de uma frase para facilitar a compreensão e o processamento de cada nova palavra lida.
"Eletrodos implantados no cérebro nos fornecem uma visão incomparável do funcionamento interno da mente humana, especialmente para processos rápidos, como a leitura. Nosso trabalho está deixando claro que a maioria dos processos - digamos, compreensão ou geração de linguagem - não ocorrem em uma única região, mas são melhor compreendidos como estados muito transitórios que muitas áreas separadas do cérebro alcançam por meio de interações muito breves, mas críticas", disse Tandon, autor sênior do estudo, que também é o Nancy, Clive e Pierce Runnels Distinguished Chair em Neurociência do Vivian L. Smith Center for Neurologic Research e o BCMS Distinguished Professor em Distúrbios Neurológicos e Neurocirurgia da McGovern Medical School.
Compreender a ciência por trás do processo altamente rápido e complexo de leitura permitirá que os pesquisadores aprendam mais sobre como o cérebro funciona durante a dislexia. Por fim, eles esperam que suas descobertas ajudem a orientar as opções de tratamento para o distúrbio da leitura, que afeta aproximadamente 15% das pessoas que vivem nos EUA.
Mais informações: Woolnough, Oscar et al, redes frontotemporais distribuídas espacialmente para leitura de sentenças, Proceedings of the National Academy of Sciences (2023). DOI: 10.1073/pnas.2300252120
Informações do periódico: Proceedings of the National Academy of Sciences