Decoding of columnar-level organization across cortical depth using BOLD- and CBV-fMRI at 7 T.

ABSTRACT: Multivariate pattern analysis (MVPA) methods are a versatile tool to retrieve information from neurophysiological data obtained with functional magnetic resonance imaging (fMRI) techniques. Since fMRI is based on measuring the hemodynamic response following neural activation, the spatial specificity of the fMRI signal is inherently limited by contributions of macrovascular compartments that drain the signal from the actual location of neural activation, making it challenging to image cortical structures at the spatial scale of cortical columns and layers. By relying on information from multiple voxels, MVPA has shown promising results in retrieving information encoded in fine-grained spatial patterns. We examined the spatial specificity of the signal exploited by MVPA. Over multiple sessio

SUBMITTER: Haenelt D 

PROVIDER: S-EPMC12407697 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature