A fundamental challenge for organisms is how to focus on perceptual information relevant to current goals while remaining able to respond to goal-irrelevant stimuli that signal potential threat. Here, we studied how visual threat signals influence the effects of goal-directed spatial attention on the retinotopic distribution of processing resources in early visual cortex. We used a combined blocked and event-related functional magnetic resonance imaging paradigm with target displays comprising diagonal pairs of intact and scrambled faces presented simultaneously in the four visual field quadrants. Faces were male or female and had fearful or neutral emotional expressions. Participants attended covertly to a pair of two diagonally opposite stimuli and performed a gender-discrimination task on the attended intact face. In contrast to the fusiform face area, where attention and fearful emotional expression had additive effects, neural responses to attended and unattended fearful faces were indistinguishable in early retinotopic visual areas: When attended, fearful face expression did not further enhance responses, whereas when unattended, fearful expression increased responses to the level of attended face stimuli. Remarkably, the presence of fearful stimuli augmented the enhancing effect of attention on retinotopic responses to neutral faces in remote visual field locations. We conclude that this redistribution of neural activity in retinotopic visual cortex may serve the purpose of allocating processing resources to task-irrelevant threat-signaling stimuli while at the same time increasing resources for task-relevant stimuli as required for the maintenance of goal-directed behavior.
Pubmed ID: 21664281 RIS Download
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.
View all literature mentionsResearch group based in the Department of Radiology of Wake Forest University School of Medicine devoted to the application of novel image analysis methods to research studies. The ANSIR lab also maintains a fully-automated functional and structural image processing pipeline supporting the image storage and analysis needs of a variety of scientists and imaging studies at Wake Forest. Software packages and toolkits are currently available for download from the ANSIR Laboratory, including: WFU Biological Parametric Mapping Toolbox, WFU_PickAtlas, and Adaptive Staircase Procedure for E-Prime.
View all literature mentionsSoftware package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
View all literature mentions