Intra-V1 functional networks and classification of observed stimuli.

ABSTRACT:

Introduction

Previous studies suggest that co-fluctuations in neural activity within V1 (measured with fMRI) carry information about observed stimuli, potentially reflecting various cognitive mechanisms. This study explores the neural sources shaping this information by using different fMRI preprocessing methods. The common response to stimuli shared by all individuals can be emphasized by using inter-subject correlations or de-emphasized by deconvolving the fMRI with hemodynamic response functions (HRFs) before calculating the correlations. The latter approach shifts the balance towards participant-idiosyncratic activity.

Methods

Here, we used multivariate pattern analysis of intra-V1 correlation matrices to predict the Level or Shape of observed Navon letters employing the

SUBMITTER: Ontivero-Ortega M 

PROVIDER: S-EPMC10961393 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature