A protocol for fMRI visual decoding

Peres, André Salles Cunha; Sato, João Ricardo; dos Santos, Antônio Carlos; Hallak, Jaime Eduardo Cecílio; Ribeiro, Sidarta Tollendal Gomes; Araújo, Dráulio Barros de

A protocol for fMRI visual decoding

Página do item simplificado Estatísticas

dc.contributor.author	Peres, André Salles Cunha
dc.contributor.author	Sato, João Ricardo
dc.contributor.author	dos Santos, Antônio Carlos
dc.contributor.author	Hallak, Jaime Eduardo Cecílio
dc.contributor.author	Ribeiro, Sidarta Tollendal Gomes
dc.contributor.author	Araújo, Dráulio Barros de
dc.date.accessioned	2017-10-10T12:00:13Z
dc.date.available	2017-10-10T12:00:13Z
dc.date.issued	2014-09
dc.description.resumo	Introdução Functional magnetic resonance imaging (fMRI) is widely used to assess patterns of brain activity in response to specific tasks. Recent advances of signal processing tools opened the perspective of decoding information from different stimuli based on fMRI brain activity. Currently, the decoding of visual information is the most successful strategy. Typically, during the encoding phase the volunteers passively see a large number of images and a pattern of the fMRI signal is associated to each one of them. Based only on these BOLD signal patterns, statistical algorithms are used to infer what was the image seen by the subject. A common strategy used for visual cortex decoding is to separate the images into categories, with the intent of creating an average of BOLD distribution for each category. Thus, decoding refers to indicating the category to which an image belongs to. Objetivos Our purpose in this work is to evaluate the feasibility of implementing a visual cortex decoding protocol based on six categories: tree, car, house, food, person, and reptile. Métodos Two asymptomatic volunteers were invited to participate in the study. They were asked to passively watch a set of 1,440 images divided into these six categories, while fMRI data was continuously being acquired. Subjects participated in 13 sessions of 30 minutes each. fMRI analysis was based on the General Linear Model implemented in SPM8 (UCL UK). A threshold was set at p < 0.05 (FWE, corrected). The BOLD distribution was compared for each pair of category, doing a subtraction between them, totaling 30 comparisons. Resultados e Conclusões We found significant differences in the BOLD distribution for all pairs analyzed, which indicate the feasibility to further perform visual cortex decoding using the protocol described above.	pt_BR
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/24027
dc.language	eng	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	Decoding	pt_BR
dc.subject	fMRI	pt_BR
dc.subject	BOLD distribution	pt_BR
dc.subject	Visual cortex	pt_BR
dc.title	A protocol for fMRI visual decoding	pt_BR
dc.type	conferenceObject	pt_BR