دورية أكاديمية

Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in occipitotemporal cortex

التفاصيل البيبلوغرافية
العنوان: Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in occipitotemporal cortex
المؤلفون: Marrazzo, Giuseppe, De Martino, Federico, Lage-Castellanos, Agustin, Vaessen, Maarten J., de Gelder, Beatrice
المصدر: Marrazzo , G , De Martino , F , Lage-Castellanos , A , Vaessen , M J & de Gelder , B 2023 , ' Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in occipitotemporal cortex ' , Neuroimage , vol. 277 , 120240 . https://doi.org/10.1016/j.neuroimage.2023.120240Test
سنة النشر: 2023
المجموعة: Maastricht University Research Publications
مصطلحات موضوعية: Body representation, Encoding models, Occipitotemporal cortex, Banded ridge regression, Extrastriate body area, BRAIN ACTIVITY, RECEPTIVE-FIELDS, NATURAL IMAGES, NEURAL BASIS, EXTRASTRIATE, AREA, FACE, SELECTIVITY, PERCEPTION, BODIES
الوصف: Previous research on body representation in the brain has focused on category-specific representation, using fMRI to investigate the response pattern to body stimuli in occipitotemporal cortex. But the central question of the specific computations involved in body selective regions has not been addressed so far. This study used ultra-high field fMRI and banded ridge regression to investigate the computational mechanisms of coding body images, by comparing the performance of three encoding models in predicting brain activity in occipitotemporal cortex and specifically in the extrastriate body area (EBA). Our results indicate that bodies are encoded in occipitotemporal cortex and in the EBA according to a combination of low-level visual features and postural features.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/6c9f67b3-52c0-49c5-b3bf-5fb6b2ab5b6eTest
DOI: 10.1016/j.neuroimage.2023.120240
الإتاحة: https://doi.org/10.1016/j.neuroimage.2023.120240Test
https://cris.maastrichtuniversity.nl/en/publications/6c9f67b3-52c0-49c5-b3bf-5fb6b2ab5b6eTest
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.D7C2FF8
قاعدة البيانات: BASE