scholarly journals Facial expression processing in developmental prosopagnosia

2021 ◽  
Author(s):  
◽  
Lauren Clare Bell
Keyword(s):  
Facial Expression ◽  
Expression Recognition ◽  
Facial Identity ◽  
Video Clips ◽  
Core Deficit ◽  
Identity Perception ◽  
Expression Processing ◽  
Sequential Matching ◽  
Identity Processing ◽  
Inversion Effects

<p>Individuals with developmental prosopagnosia experience lifelong deficits recognising facial identity, but whether their ability to process facial expression is also impaired is unclear. Addressing this issue is key for understanding the core deficit in developmental prosopagnosia, and for advancing knowledge about the mechanisms and development of normal face processing. In this thesis, I report two online studies on facial expression processing with large samples of prosopagnosics. In Study 1, I compared facial expression and facial identity perception in 124 prosopagnosics and 133 controls. I used three perceptual tasks including simultaneous matching, sequential matching, and sorting. I also measured inversion effects to examine whether prosopagnosics rely on typical face mechanisms. Prosopagnosics showed subtle deficits with facial expression, but they performed worse with facial identity. Prosopagnosics also showed reduced inversion effects for facial identity but normal inversion effects for facial expression, suggesting they use atypical mechanisms for facial identity but normal mechanisms for facial expression. In Study 2, I extended the findings of Study 1 by assessing facial expression recognition in 78 prosopagnosics and 138 controls. I used four labelling tasks that varied on whether the facial expressions were basic (e.g., happy) or complex (e.g., elated), and whether they were displayed via static (i.e., images) or dynamic (i.e., video clips) stimuli. Prosopagnosics showed subtle deficits with basic expressions but performed normally with complex expressions. Further, prosopagnosics did not show reduced inversion effects for both types of expressions, suggesting they use similar recognition mechanisms as controls. Critically, the subtle expression deficits that prosopagnosics showed in both studies can be accounted for by autism traits, suggesting that expression deficits are not a feature of prosopagnosia per se. I also provide estimates of the prevalence of deficits in facial expression perception (7.70%) and recognition (2.56% - 5.13%) in prosopagnosia, both of which suggest that facial expression processing is normal in the majority of prosopagnosics. Overall, my thesis demonstrates that facial expression processing is not impaired in developmental prosopagnosia, and suggests that facial expression and facial identity processing rely on separate mechanisms that dissociate in development.</p>

scholarly journals Facial expression processing in developmental prosopagnosia

2021 ◽  
Author(s):  
◽  
Lauren Clare Bell
Keyword(s):  
Facial Expression ◽  
Expression Recognition ◽  
Facial Identity ◽  
Video Clips ◽  
Core Deficit ◽  
Identity Perception ◽  
Expression Processing ◽  
Sequential Matching ◽  
Identity Processing ◽  
Inversion Effects

<p>Individuals with developmental prosopagnosia experience lifelong deficits recognising facial identity, but whether their ability to process facial expression is also impaired is unclear. Addressing this issue is key for understanding the core deficit in developmental prosopagnosia, and for advancing knowledge about the mechanisms and development of normal face processing. In this thesis, I report two online studies on facial expression processing with large samples of prosopagnosics. In Study 1, I compared facial expression and facial identity perception in 124 prosopagnosics and 133 controls. I used three perceptual tasks including simultaneous matching, sequential matching, and sorting. I also measured inversion effects to examine whether prosopagnosics rely on typical face mechanisms. Prosopagnosics showed subtle deficits with facial expression, but they performed worse with facial identity. Prosopagnosics also showed reduced inversion effects for facial identity but normal inversion effects for facial expression, suggesting they use atypical mechanisms for facial identity but normal mechanisms for facial expression. In Study 2, I extended the findings of Study 1 by assessing facial expression recognition in 78 prosopagnosics and 138 controls. I used four labelling tasks that varied on whether the facial expressions were basic (e.g., happy) or complex (e.g., elated), and whether they were displayed via static (i.e., images) or dynamic (i.e., video clips) stimuli. Prosopagnosics showed subtle deficits with basic expressions but performed normally with complex expressions. Further, prosopagnosics did not show reduced inversion effects for both types of expressions, suggesting they use similar recognition mechanisms as controls. Critically, the subtle expression deficits that prosopagnosics showed in both studies can be accounted for by autism traits, suggesting that expression deficits are not a feature of prosopagnosia per se. I also provide estimates of the prevalence of deficits in facial expression perception (7.70%) and recognition (2.56% - 5.13%) in prosopagnosia, both of which suggest that facial expression processing is normal in the majority of prosopagnosics. Overall, my thesis demonstrates that facial expression processing is not impaired in developmental prosopagnosia, and suggests that facial expression and facial identity processing rely on separate mechanisms that dissociate in development.</p>

Retinotopy of Facial Expression Adaptation

2014 ◽  
Vol 27 (2) ◽  
pp. 127-137 ◽  
Author(s):  
Kazumichi Matsumiya
Keyword(s):  
Facial Expression ◽  
Facial Identity ◽  
Adaptation Mechanisms ◽  
The Face ◽  
Test Face ◽  
Adaptation Test ◽  
Test Distance ◽  
Expression Processing ◽  
Identity Processing

The face aftereffect (FAE; the illusion of faces after adaptation to a face) has been reported to occur without retinal overlap between adaptor and test, but recent studies revealed that the FAE is not constant across all test locations, which suggests that the FAE is also retinotopic. However, it remains unclear whether the characteristic of the retinotopy of the FAE for one facial aspect is the same as that of the FAE for another facial aspect. In the research reported here, an examination of the retinotopy of the FAE for facial expression indicated that the facial expression aftereffect occurs without retinal overlap between adaptor and test, and depends on the retinal distance between them. Furthermore, the results indicate that, although dependence of the FAE on adaptation-test distance is similar between facial expression and facial identity, the FAE for facial identity is larger than that for facial expression when a test face is presented in the opposite hemifield. On the basis of these results, I discuss adaptation mechanisms underlying facial expression processing and facial identity processing for the retinotopy of the FAE.

Facial Expression and Sex Recognition in Schizophrenia and Depression

2005 ◽  
Vol 50 (9) ◽  
pp. 525-533 ◽  
Author(s):  
Benoit Bediou ◽  
Pierre Krolak-Salmon ◽  
Mohamed Saoud ◽  
Marie-Anne Henaff ◽  
Michael Burt ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Recognition Task ◽  
Expression Recognition ◽  
Sex Recognition ◽  
Control Subjects ◽  
Healthy Control ◽  
And Control ◽  
Expression Processing ◽  
Selective Impairment

Background: Impaired facial expression recognition in schizophrenia patients contributes to abnormal social functioning and may predict functional outcome in these patients. Facial expression processing involves individual neural networks that have been shown to malfunction in schizophrenia. Whether these patients have a selective deficit in facial expression recognition or a more global impairment in face processing remains controversial. Objective: To investigate whether patients with schizophrenia exhibit a selective impairment in facial emotional expression recognition, compared with patients with major depression and healthy control subjects. Methods: We studied performance in facial expression recognition and facial sex recognition paradigms, using original morphed faces, in a population with schizophrenia ( n = 29) and compared their scores with those of depression patients ( n = 20) and control subjects ( n = 20). Results: Schizophrenia patients achieved lower scores than both other groups in the expression recognition task, particularly in fear and disgust recognition. Sex recognition was unimpaired. Conclusion: Facial expression recognition is impaired in schizophrenia, whereas sex recognition is preserved, which highly suggests an abnormal processing of changeable facial features in this disease. A dysfunction of the top-down retrograde modulation coming from limbic and paralimbic structures on visual areas is hypothesized.

Facial identity influences facial expression recognition: A high-density ERP study

2020 ◽  
Vol 725 ◽  
pp. 134911
Author(s):  
Sahoko Komatsu ◽  
Emi Yamada ◽  
Katsuya Ogata ◽  
Shizuka Horie ◽  
Yuji Hakoda ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
High Density ◽  
Expression Recognition ◽  
Facial Identity

P1-14 Facial identity facilitates facial expression recognition: A high-density ERP study

2010 ◽  
Vol 121 ◽  
pp. S104
Author(s):  
S. Komatsu ◽  
K. Ogata ◽  
S. Horie ◽  
Y. Hakoda ◽  
S. Tobimatsu
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
High Density ◽  
Expression Recognition ◽  
Facial Identity

A Hierarchical Facial Feature Extraction Method for Expression Recognition

2012 ◽  
Vol 452-453 ◽  
pp. 802-806
Author(s):  
Jin Lin Han ◽  
Hong Zhang
Keyword(s):  
Feature Extraction ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Extraction Method ◽  
Facial Feature ◽  
Support Vector ◽  
Expression Recognition ◽  
Feature Extraction Method ◽  
Facial Identity ◽  
Facial Feature Extraction

With the development of computer visual technology, facial expression recognition plays an important role in the friendly and harmonious human-computer interaction field.Against the inadequacy of the original feature extraction method based on singular value decomposition, this paper proposed a hierarchical facial feature extraction method according to the needs of facial expression recognition, which combines the way of hierarchy and block to enhance the detail information of the image. Then utilize a combination of support vector machine to classify. The results of the two experiments show that the method is effective for the facial identity and expression recognition.

scholarly journals The cerebellum as a moderator of negative bias of facial expression processing in depressive patients

2021 ◽  
Author(s):  
Anna Nakamura ◽  
Yukihito Yomogida ◽  
Miho Ota ◽  
Junko Matsuo ◽  
Ikki ishida ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Emotion Processing ◽  
Facial Emotion ◽  
Negative Bias ◽  
Expression Recognition ◽  
Neural Basis ◽  
Social Lives ◽  
Recognition Of Facial Expressions ◽  
Expression Processing

Background: Negative bias-a mood-congruent bias in emotion processing-is an important aspect of major depressive disorder (MDD), and such a bias in facial expression recognition has a significant effect on patients' social lives. Neuroscience research shows abnormal activity in emotion-processing systems regarding facial expressions in MDD. However, the neural basis of negative bias in facial expression processing has not been explored directly. Methods: Sixteen patients with MDD and twenty-three healthy controls (HC) who underwent an fMRI scan during an explicit facial emotion task with happy to sad faces were selected. We identified brain areas in which the MDD and HC groups showed different correlations between the behavioral negative bias scores and functional activities. Results: Behavioral data confirmed the existence of a higher negative bias in the MDD group. Regarding the relationship with neural activity, higher activity of happy faces in the posterior cerebellum was related to a higher negative bias in the MDD group, but lower negative bias in the HC group. Limitations: The sample size was small, and the possible effects of medication were not controlled for in this study. Conclusions: We confirmed a negative bias in the recognition of facial expressions in patients with MDD. fMRI data suggest the cerebellum as a moderator of facial emotion processing, which biases the recognition of facial expressions toward their own mood.

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