title: Perceptual decision-making difficulty modulates feedforward effective connectivity to the dorsolateral prefrontal cortex.
abstract: Diverse cortical structures are known to coordinate activity as a network in relaying and processing of visual information to discriminate visual objects. However, how this discrimination is achieved is still largely unknown. To contribute to answering this question, we used face-house categorization tasks with three levels of noise in face and house images in functional magnetic resonance imaging (fMRI) experiments involving thirty-three participants. The behavioral performance error and response time (RT) were correlated with noise in face-house images. We then built dynamical causal models (DCM) of fMRI blood-oxygenation level dependent (BOLD) signals from the face and house category-specific regions in ventral temporal (VT) cortex, the fusiform face area (FFA) and parahippocampal place area (PPA), and the dorsolateral prefrontal cortex (dlPFC). We found a strong feed-forward intrinsic connectivity pattern from FFA and PPA to dlPFC. Importantly, the feed-forward connectivity to dlPFC was significantly modulated by the perception of both faces and houses. The dlPFC-BOLD activity, the connectivity from FFA and PPA to the dlPFC all increased with noise level. These results suggest that the FFA-PPA-dlPFC network plays an important role for relaying and integrating competing sensory information to arrive at perceptual decisions.
authors.affiliation: Department of Physics and Astronomy, Georgia State University Atlanta, GA, USA.
authors.forename: Bidhan
authors.initials: B
authors.lastname: Lamichhane
authors.affiliation: Department of Physics and Astronomy, Georgia State University Atlanta, GA, USA ; Center for Behavioral Neuroscience, Neuroscience Institute, Georgia State University Atlanta, GA, USA ; Center for Nano-Optics, Georgia State University Atlanta, GA, USA ; Center for Diagnostics and Therapeutics, Georgia State University Atlanta, GA, USA.
authors.forename: Mukesh
authors.initials: M
authors.lastname: Dhamala
keywords: FFA; PPA; dynamical causal modeling; face-house categorization