2010
DOI: 10.1016/j.brainres.2010.04.044
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Effective connectivities of cortical regions for top-down face processing: A Dynamic Causal Modeling study

Abstract: To study top-down face processing, the present study used an experimental paradigm in which participants detected non-existent faces in pure noise images. Conventional BOLD signal analysis identified three regions involved in this illusory face detection. These regions included the left orbitofrontal cortex (OFC) in addition to the right fusiform face area (FFA) and right occipital face area (OFA), both of which were previously known to be involved in both top-down and bottom-up processing of faces. We used Dy… Show more

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Cited by 43 publications
(42 citation statements)
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References 51 publications
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“…Furthermore, these data support the proposed right hemispheric dominance in face perception (Murphy et al 2003). faces perception network and represents facial components, so is essential for facial identity (Li et al 2010;Pitcher et al 2011). Complementarily, the posterior portion of the middle temporal gyrus has been associated with the perception of facial expressions (Hein and Knight 2008;Said et al 2010).…”
Section: Discussionsupporting
confidence: 77%
See 1 more Smart Citation
“…Furthermore, these data support the proposed right hemispheric dominance in face perception (Murphy et al 2003). faces perception network and represents facial components, so is essential for facial identity (Li et al 2010;Pitcher et al 2011). Complementarily, the posterior portion of the middle temporal gyrus has been associated with the perception of facial expressions (Hein and Knight 2008;Said et al 2010).…”
Section: Discussionsupporting
confidence: 77%
“…THE OFC has also been attributed a crucial role in the top-down processing of faces regulating the activities of the OFA and the fusiform face area (FFA). This top-down face processing is required to interpret ambiguous faces stimuli, imagined face or to detect impoverished face stimuli (Li et al, 2010).…”
Section: Neutral and Emotional Activationmentioning
confidence: 99%
“…For example, prosopagnosic patients, with lesions that affect the OFA, continue to show activity in the FFA (Rossion et al 2003;Steeves et al 2006). We also found evidence for a functional connection between the OFA and STS and between the FFA and STS (see also Fairhall and Ishai 2007;Li et al 2010;TurkBrowne et al 2010). However, the correlations between the residual time courses of the OFA-STS and FFA-STS were not significantly increased when participants viewed faces compared with other non-face objects.…”
Section: Connectivity Between Face-selective Regionsmentioning
confidence: 77%
“…We limited the number of models defined by bilinear approximation (Friston et al, 2003). We did not consider nonlinear approach and any other complex models since simple models are preferred to complex models (Friston, 2011;Penny et al, 2004) to maintain the balance between accuracy and complexity (Dima et al, 2011;Herrington et al, 2011;Li et al, 2010;Pitt and Myung, 2002;Stephan et al, 2010).…”
Section: Figmentioning
confidence: 99%
“…The co-ordinates were obtained from the second level analysis at p < 0.005 (FDR) using xjView8 (www.alivelearn.net/ xjview8/) by combining only correct trials for both happy (clear and noisy) and angry (clear and noisy) emotions in a single F-contrast versus rest. For each individual participant, the participant specific maxima were constrained to lie within twice the width of Gaussian smoothing kernel used (Li et al, 2010). In two participants, activation clusters did not meet the above criterion and we discarded them for the DCM analysis.…”
Section: Figmentioning
confidence: 99%