Decoding unattended fearful faces with whole-brain correlations: an approach to identify condition-dependent large-scale functional connectivity.

ABSTRACT: Processing of unattended threat-related stimuli, such as fearful faces, has been previously examined using group functional magnetic resonance (fMRI) approaches. However, the identification of features of brain activity containing sufficient information to decode, or "brain-read", unattended (implicit) fear perception remains an active research goal. Here we test the hypothesis that patterns of large-scale functional connectivity (FC) decode the emotional expression of implicitly perceived faces within single individuals using training data from separate subjects. fMRI and a blocked design were used to acquire BOLD signals during implicit (task-unrelated) presentation of fearful and neutral faces. A pattern classifier (linear kernel Support Vector Machine, or SVM) with linear filter featur

SUBMITTER: Pantazatos SP 

PROVIDER: S-EPMC3315448 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature