scholarly journals The Fusiform Face Area Plays a Greater Role in Holistic Processing for Own-Race Faces Than Other-Race Faces

Author(s):  
Guifei Zhou ◽  
Jiangang Liu ◽  
Naiqi G. Xiao ◽  
Si Jia Wu ◽  
Hong Li ◽  
...  
2010 ◽  
Vol 104 (1) ◽  
pp. 336-345 ◽  
Author(s):  
Alison Harris ◽  
Geoffrey Karl Aguirre

Although the right fusiform face area (FFA) is often linked to holistic processing, new data suggest this region also encodes part-based face representations. We examined this question by assessing the metric of neural similarity for faces using a continuous carryover functional MRI (fMRI) design. Using faces varying along dimensions of eye and mouth identity, we tested whether these axes are coded independently by separate part-tuned neural populations or conjointly by a single population of holistically tuned neurons. Consistent with prior results, we found a subadditive adaptation response in the right FFA, as predicted for holistic processing. However, when holistic processing was disrupted by misaligning the halves of the face, the right FFA continued to show significant adaptation, but in an additive pattern indicative of part-based neural tuning. Thus this region seems to contain neural populations capable of representing both individual parts and their integration into a face gestalt. A third experiment, which varied the asymmetry of changes in the eye and mouth identity dimensions, also showed part-based tuning from the right FFA. In contrast to the right FFA, the left FFA consistently showed a part-based pattern of neural tuning across all experiments. Together, these data support the existence of both part-based and holistic neural tuning within the right FFA, further suggesting that such tuning is surprisingly flexible and dynamic.


2013 ◽  
Vol 3 ◽  
Author(s):  
Valerie Goffaux ◽  
Christine Schiltz ◽  
Marieke Mur ◽  
Rainer Goebel

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256849
Author(s):  
Ellen M. Kok ◽  
Bettina Sorger ◽  
Koos van Geel ◽  
Andreas Gegenfurtner ◽  
Jeroen J. G. van Merriënboer ◽  
...  

Radiologists can visually detect abnormalities on radiographs within 2s, a process that resembles holistic visual processing of faces. Interestingly, there is empirical evidence using functional magnetic resonance imaging (fMRI) for the involvement of the right fusiform face area (FFA) in visual-expertise tasks such as radiological image interpretation. The speed by which stimuli (e.g., faces, abnormalities) are recognized is an important characteristic of holistic processing. However, evidence for the involvement of the right FFA in holistic processing in radiology comes mostly from short or artificial tasks in which the quick, ‘holistic’ mode of diagnostic processing is not contrasted with the slower ‘search-to-find’ mode. In our fMRI study, we hypothesized that the right FFA responds selectively to the ‘holistic’ mode of diagnostic processing and less so to the ‘search-to-find’ mode. Eleven laypeople and 17 radiologists in training diagnosed 66 radiographs in 2s each (holistic mode) and subsequently checked their diagnosis in an extended (10-s) period (search-to-find mode). During data analysis, we first identified individual regions of interest (ROIs) for the right FFA using a localizer task. Then we employed ROI-based ANOVAs and obtained tentative support for the hypothesis that the right FFA shows more activation for radiologists in training versus laypeople, in particular in the holistic mode (i.e., during 2s trials), and less so in the search-to-find mode (i.e., during 10-s trials). No significant correlation was found between diagnostic performance (diagnostic accuracy) and brain-activation level within the right FFA for both, short-presentation and long-presentation diagnostic trials. Our results provide tentative evidence from a diagnostic-reasoning task that the FFA supports the holistic processing of visual stimuli in participants’ expertise domain.


2009 ◽  
Author(s):  
Stephen A. Engel ◽  
Erin M. Harley ◽  
Whitney B. Pope ◽  
J. Pablo Villablanca ◽  
John C. Mazziotta ◽  
...  

2010 ◽  
Vol 50 (15) ◽  
pp. e1-e3 ◽  
Author(s):  
Xiaokun Xu ◽  
Xiaomin Yue ◽  
Mark D. Lescroart ◽  
Irving Biederman ◽  
Jiye G. Kim

2018 ◽  
Vol 129 (8) ◽  
pp. e80-e81
Author(s):  
A. Haeger ◽  
C. Pouzat ◽  
V. Luecken ◽  
K. N’Diaye ◽  
C.E. Elger ◽  
...  

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