scholarly journals Representation of parts and canonical face configuration in the amygdala, superior temporal sulcus (STS) and the fusiform "face area" (FFA)

2004 ◽  
Vol 4 (8) ◽  
pp. 131-131 ◽  
Author(s):  
G. Golarai ◽  
D. G. Ghahremani ◽  
J. L. Eberhardt ◽  
K. Grill-Spector ◽  
G. D. E. Gabrieli
Keyword(s):  
Superior Temporal Sulcus ◽  
Fusiform Face Area ◽  
Face Area

Learning to See Biological Motion: Brain Activity Parallels Behavior

2004 ◽  
Vol 16 (9) ◽  
pp. 1669-1679 ◽  
Author(s):  
Emily D. Grossman ◽  
Randolph Blake ◽  
Chai-Youn Kim
Keyword(s):  
Neural Activity ◽  
Biological Motion ◽  
Brain Activity ◽  
Daily Practice ◽  
Superior Temporal Sulcus ◽  
Fusiform Face Area ◽  
Face Area ◽  
Perceptual Performance ◽  
Trained Observers ◽  
Posterior Superior Temporal Sulcus

Individuals improve with practice on a variety of perceptual tasks, presumably reflecting plasticity in underlying neural mechanisms. We trained observers to discriminate biological motion from scrambled (nonbiological) motion and examined whether the resulting improvement in perceptual performance was accompanied by changes in activation within the posterior superior temporal sulcus and the fusiform “face area,” brain areas involved in perception of biological events. With daily practice, initially naive observers became more proficient at discriminating biological from scrambled animations embedded in an array of dynamic “noise” dots, with the extent of improvement varying among observers. Learning generalized to animations never seen before, indicating that observers had not simply memorized specific exemplars. In the same observers, neural activity prior to and following training was measured using functional magnetic resonance imaging. Neural activity within the posterior superior temporal sulcus and the fusiform “face area” reflected the participants' learning: BOLD signals were significantly larger after training in response both to animations experienced during training and to novel animations. The degree of learning was positively correlated with the amplitude changes in BOLD signals.

scholarly journals Using Live and Video Stimuli to Localize Face and Object Processing Regions of the Canine Brain

Animals ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 108
Author(s):  
Kirsten D. Gillette ◽  
Erin M. Phillips ◽  
Daniel D. Dilks ◽  
Gregory S. Berns
Keyword(s):  
Random Order ◽  
Superior Temporal Sulcus ◽  
Regions Of Interest ◽  
Two Dimensional ◽  
Fusiform Face Area ◽  
Object Processing ◽  
Lateral Occipital Complex ◽  
Face Area ◽  
Static Images ◽  
Posterior Superior Temporal Sulcus

Previous research to localize face areas in dogs’ brains has generally relied on static images or videos. However, most dogs do not naturally engage with two-dimensional images, raising the question of whether dogs perceive such images as representations of real faces and objects. To measure the equivalency of live and two-dimensional stimuli in the dog’s brain, during functional magnetic resonance imaging (fMRI) we presented dogs and humans with live-action stimuli (actors and objects) as well as videos of the same actors and objects. The dogs (n = 7) and humans (n = 5) were presented with 20 s blocks of faces and objects in random order. In dogs, we found significant areas of increased activation in the putative dog face area, and in humans, we found significant areas of increased activation in the fusiform face area to both live and video stimuli. In both dogs and humans, we found areas of significant activation in the posterior superior temporal sulcus (ectosylvian fissure in dogs) and the lateral occipital complex (entolateral gyrus in dogs) to both live and video stimuli. Of these regions of interest, only the area along the ectosylvian fissure in dogs showed significantly more activation to live faces than to video faces, whereas, in humans, both the fusiform face area and posterior superior temporal sulcus responded significantly more to live conditions than video conditions. However, using the video conditions alone, we were able to localize all regions of interest in both dogs and humans. Therefore, videos can be used to localize these regions of interest, though live conditions may be more salient.

Two Key Gyri, a Notable Sulcus, and the Wandering Cranial Nerve

2016 ◽  
Author(s):  
James H. Austin
Keyword(s):  
Cranial Nerve ◽  
Superior Temporal Sulcus ◽  
Angular Gyrus ◽  
Parahippocampal Gyrus ◽  
Fusiform Face Area ◽  
Multiple Functions ◽  
Face Area ◽  
Parahippocampal Place Area

This chapter examines the structure and multiple functions of the angular gyrus, the parahippocampal gyrus, and the superior temporal sulcus (STS). It also distinguishes between the fusiform face area (FFA) and the parahippocampal place area (PPA).

scholarly journals The Human Posterior Superior Temporal Sulcus Samples Visual Space Differently From Other Face-Selective Regions

2019 ◽  
Vol 30 (2) ◽  
pp. 778-785 ◽  
Author(s):  
David Pitcher ◽  
Amy Pilkington ◽  
Lionel Rauth ◽  
Chris Baker ◽  
Dwight J Kravitz ◽  
...  
Keyword(s):  
Visual Space ◽  
Superior Temporal Sulcus ◽  
Human Motion ◽  
Fusiform Face Area ◽  
Functional Magnetic Resonance ◽  
Face Area ◽  
Selective Area ◽  
The Face ◽  
Occipital Face Area ◽  
Posterior Superior Temporal Sulcus

Abstract Neuroimaging studies show that ventral face-selective regions, including the fusiform face area (FFA) and occipital face area (OFA), preferentially respond to faces presented in the contralateral visual field (VF). In the current study we measured the VF response of the face-selective posterior superior temporal sulcus (pSTS). Across 3 functional magnetic resonance imaging experiments, participants viewed face videos presented in different parts of the VF. Consistent with prior results, we observed a contralateral VF bias in bilateral FFA, right OFA (rOFA), and bilateral human motion-selective area MT+. Intriguingly, this contralateral VF bias was absent in the bilateral pSTS. We then delivered transcranial magnetic stimulation (TMS) over right pSTS (rpSTS) and rOFA, while participants matched facial expressions in both hemifields. TMS delivered over the rpSTS disrupted performance in both hemifields, but TMS delivered over the rOFA disrupted performance in the contralateral hemifield only. These converging results demonstrate that the contralateral bias for faces observed in ventral face-selective areas is absent in the pSTS. This difference in VF response is consistent with face processing models proposing 2 functionally distinct pathways. It further suggests that these models should account for differences in interhemispheric connections between the face-selective areas across these 2 pathways.

scholarly journals Perception of Face Parts and Face Configurations: An fMRI Study

2010 ◽  
Vol 22 (1) ◽  
pp. 203-211 ◽  
Author(s):  
Jia Liu ◽  
Alison Harris ◽  
Nancy Kanwisher
Keyword(s):  
Visual Cortex ◽  
Spatial Configuration ◽  
Superior Temporal Sulcus ◽  
Fusiform Face Area ◽  
First Order ◽  
Face Area ◽  
Fmri Study ◽  
The Face ◽  
Occipital Face Area ◽  
Patient Studies

fMRI studies have reported three regions in human ventral visual cortex that respond selectively to faces: the occipital face area (OFA), the fusiform face area (FFA), and a face-selective region in the superior temporal sulcus (fSTS). Here, we asked whether these areas respond to two first-order aspects of the face argued to be important for face perception, face parts (eyes, nose, and mouth), and the T-shaped spatial configuration of these parts. Specifically, we measured the magnitude of response in these areas to stimuli that (i) either contained real face parts, or did not, and (ii) either had veridical face configurations, or did not. The OFA and the fSTS were sensitive only to the presence of real face parts, not to the correct configuration of those parts, whereas the FFA was sensitive to both face parts and face configuration. Further, only in the FFA was the response to configuration and part information correlated across voxels, suggesting that the FFA contains a unified representation that includes both kinds of information. In combination with prior results from fMRI, TMS, MEG, and patient studies, our data illuminate the functional division of labor in the OFA, FFA, and fSTS.

scholarly journals Erratum to “Adaptation in the fusiform face area (FFA): Image or Person?” [Vision Research 49 (23) (2009) 2800–2807]

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

P34. Working memory for faces in congenital prosopagnosia: altered neural representations in the fusiform face area

2018 ◽  
Vol 129 (8) ◽  
pp. e80-e81
Author(s):  
A. Haeger ◽  
C. Pouzat ◽  
V. Luecken ◽  
K. N’Diaye ◽  
C.E. Elger ◽  
...  
Keyword(s):  
Working Memory ◽  
Fusiform Face Area ◽  
Face Area ◽  
Neural Representations ◽  
Congenital Prosopagnosia
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