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1 face-sensitive N170 component and configural face processing.
2 ggesting links between the N170 and holistic face processing.
3 he ERP signatures of featural and configural face processing.
4 ecognition as well as hierarchical models of face processing.
5 rgely bilaterally distributed model for self-face processing.
6 buted cortical network that subserves normal face processing.
7 ngs of a low-spatial frequency advantage for face processing.
8 unctional imaging of orientation, motion and face processing.
9 fusiform face area, that is specialized for face processing.
10 le of early experience in the development of face processing.
11 ses from human visual cortex specialized for face processing.
12 augmented in regions involved in emotion and face processing.
13 atial deficits and enhanced emotionality and face processing.
14 e provide a challenge for existing models of face processing.
15 is unique to language or might also apply to face processing.
16 rior temporal regions are involved in visual face processing.
17 d to the functional specialization of normal face processing.
18 dies have implicated other cortical areas in face processing.
19 s, and amygdala, enables rapid and automatic face processing.
20 at face-selective brain areas are central to face processing.
21 inhibitor (SSRI), on brain activation during face processing.
22 and neural activity in response to emotional face processing.
23 Schizophrenia is associated with impaired face processing.
24 in both humans and monkeys, with a focus on face processing.
25 ine face-training program targeting holistic face processing.
26 ces, particularly in regions associated with face processing.
27 gyrus compared with the control group during face processing.
28 reased activity in brain regions involved in face processing.
29 pped into two relatively disparate stages of face processing.
30 gen level-dependent responses during fearful faces processing.
31 more prominent in unfamiliar versus familiar face processing?
32 methodological concern in the measurement of face processing abilities in schizophrenia, namely, that
34 amygdala-related connectivity during fearful face processing after the placebo treatment in heroin-de
35 ral correlates of adult social phobia during face processing also manifest in adolescent social phobi
37 um disorder (ASD) is associated with altered face processing and decreased activity in brain regions
38 ASD and suggest that oxytocin might promote face processing and eye contact in individuals with ASD
40 ropeptide oxytocin has been shown to promote face processing and modulate brain activity in healthy a
41 ption is to identify brain areas involved in face processing and simultaneously understand the timing
42 d in WS, despite abnormalities in aspects of face processing and structural alterations in the fusifo
43 o computations associated with both central (face processing) and peripheral (scene processing) visua
44 ith view-point changes, measures of holistic face processing, and a 5-day diary to quantify potential
47 ity is generated in participants with normal face processing, and how functional abnormalities associ
48 categorical emotional perception, configural face processing, and perceptual organization in mental i
49 e occipital face area (OFA), a key region in face processing, and the lateral occipital (LO) cortex,
50 Thus, abnormal amygdala activation during face processing appears to be more pervasive in children
51 Two of the most robust markers for "special" face processing are the behavioral face-inversion effect
53 in regions including associative visual and face processing areas was strongly correlated with the c
54 ghlighting that the functional properties of face-processing areas conform to the principles of predi
55 not retinotopically organized, as with human face-processing areas, showing foveal bias but lacking a
57 s to examine brain function during emotional face processing as a predictor of response to treatment
58 high-spatial frequency information in early face processing, as indexed by the N170 face-sensitive E
59 dimension in unfamiliar relative to familiar face processing, both in early perceptual stages as well
60 firm the amygdala's pivotal role in abnormal face processing by people with ASD at the cellular level
61 ial cognition in autism [3], we investigated face processing by using the "bubbles" method [4] to mea
62 How this information is exchanged between face-processing centers and brain areas supporting socia
63 the magnitude of activation within emotional face processing circuitry; and (ii) functional connectiv
64 isual cortex, and subcortex during emotional face processing (cluster-level P corrected for familywis
65 ical gaze, aberrant amygdala activity during face processing compared with neurotypically developed (
66 ess activation in neural networks related to face processing, compared with healthy subjects, and to
73 alization for upright (compared to inverted) face processing emerges in the visual system, the presen
74 n coefficient = 0.57), specific to emotional face processing (F = 17.97, P < .001), and independent o
75 se results reveal differential influences on face processing from attention and emotion, with the amy
78 ace space, and other key properties of human face processing have been identified at the single neuro
79 age features, behavioral and fMRI studies of face processing have been interpreted as incompatible wi
81 intermediate representation of a three-level face-processing hierarchy in the brain: mirror-symmetric
82 FA) is thought to be a computational hub for face processing; however, temporal dynamics of face info
83 ion, we examined neural mechanisms mediating face processing in 22 youths (mean age 14.21 +/- 3.11 yr
84 e effects of oxytocin on the neural basis of face processing in adults with Asperger syndrome (AS).
85 circuit coupling during fearful versus happy face processing in anxious, but not healthy, participant
88 ral lobe served as the major network hub for face processing in controls, this was not the case for t
91 facial features found in the middle patch of face processing in IT as documented by Freiwald, Tsao, a
92 ception task, none of the regions supporting face processing in normals were found to be significantl
93 cortical topology of the neural circuit for face processing in participants with an impairment in fa
95 inspired by electrophysiological evidence on face processing in primates, is able to generate represe
97 ntials that have been studied in relation to face processing in schizophrenia, but the results have b
99 le of facial features in the middle patch of face processing in the macaque IT cortex may be closely
102 tensive network of brain regions involved in face processing including the fusiform gyrus (FFG) and p
103 al areas known to participate in emotion and face processing, including the amygdala, orbital and med
105 illnesses such as autism, in which atypical face processing is a hallmark of social dysfunction.
107 lography (M/EEG) studies have suggested that face processing is extremely rapid, indeed faster than a
110 at the functional-division-of-labor model on face processing is over-simplified, and that coding stra
112 ural systems that underlie both language and face processing is revealed through studies using event-
113 behavior and brain responses have shown that face processing is tuned to selective orientation ranges
115 a visual-limbic subnetwork during emotional face processing may be a functional connectomic intermed
116 on has suggested that the systems underlying face processing may be similarly sculpted by experience
118 he OFA is the first stage in two influential face-processing models, both of which suggest that it co
119 pathways, suggests that core elements of the face processing network were present in the common anthr
120 s known to comprise the distributed cortical face-processing network in humans, including superior te
121 hus, two temporal lobe areas extend the core face-processing network into a familiar face-recognition
122 personally familiar faces engage the macaque face-processing network more than unfamiliar faces.
124 rvature-processing network to the well-known face-processing network suggests a possible functional l
125 f connectivity from posterior regions of the face-processing network to the lateral ventral prefronta
126 ividual faces in core posterior areas of the face-processing network, familiar face recognition emerg
130 fusiform region in both early and midlatency face-processing operations, with only the latter showing
132 lvement of somatosensory cortex (SCx) during face processing over and above visual responses, we dire
133 fects on components previously implicated in face processing: P1 (positive component ~100 ms post-sti
136 tal cortical areas typically associated with face processing predicted individual numerical problem s
138 and reward, affective, salience, memory, and face-processing regions during mother's voice perception
140 ions modulate functional MRI activity in the face-processing regions of the macaque monkey's amygdala
141 hat opponent social categories coactivate in face-processing regions, which compete and may resolve i
142 In boys with autism, language and social/face processing-related regions displayed abnormal asymm
143 f WMS is a dissociation between language and face processing (relative strengths) and spatial cogniti
146 mic computational role FFA plays in multiple face processing stages and indicate what information is
150 differences in activation in the subcortical face processing system (superior colliculus, pulvinar nu
153 olia in a species known to possess a complex face-processing system [8-10]: the rhesus monkey (Macaca
155 Here, we investigate whether the macaque face-processing system, a three-level hierarchy in the v
157 sed increased fMRI activation throughout the face-processing system; microstimulation of the body pat
158 al MRI to compare amygdala activity during a face processing task in children and adults with bipolar
159 the current study, participants engaged in a face processing task while brain responses were recorded
162 of the background tests, on any of the other face processing tasks, and even for recognition of any o
163 uli that elicit a well known marker of early face processing, the N170 event-related potential (ERP).
164 and showed significantly increased holistic face processing to the point of being similar to that of
166 face recognition algorithms to model primate face processing, we demonstrate that the face patterns o
167 ned influences of familiarity and priming on face processing were examined as contrast polarity was m
168 results support a multiple-route network of face processing with nonhierarchical components and shed
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