Evidence of impaired facial emotion recognition in mild Alzheimer’s disease: A mathematical approach and application

Granato, Philippe; Vinekar, Shreekumar; Gansberghe, Jean-Pierre Van; Bruyer, Raymond

doi:10.4236/ojpsych.2012.23023

Cited by 4 publications

(5 citation statements)

References 52 publications

(45 reference statements)

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“…Finally, we draw attention to the neurocognitive disorder of visual recognition of facial emotions by describing it as "PERCEPTIVE AGNOSOTHYMIA" [22]. Insofar as it affects the sensory modality of vision, we may describe this phenomenon as "visual agnosothymia".…”

Section: Discussionmentioning

confidence: 99%

“…Tests were constructed using the previously mentioned software developed specifically for this study,Method for the Analysis and Research on the Integration of Emotions (M.A.R.I.E.) [22]- [25]. M.A.R.I.E.…”

Section: Computer Software and Testsmentioning

confidence: 99%

“…We named the new program Method for the Analysis and Research on the Integration of Emotions (M.A.R.I.E.) [22]- [25]. Using M.A.R.I.E., we measured VRFEE in healthy participants between the ages of 20 and 70 years.…”

Section: Introductionmentioning

confidence: 99%

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A Study of Visual Recognition of Facial Emotional Expressions in a Normal Aging Population in the Absence of Cognitive Disorders

Granato¹,

Vinekar²,

Godefroy³

et al. 2014

OJPsych

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Objective: To examine and measure the decision-making processes involved in Visual Recognition of Facial Emotional Expressions (VRFEE) and to study the effects of demographic factors on this process. Method: We evaluated a newly designed software application (M.A.R.I.E.) that permits computerized metric measurement of VRFEE. We administered it to 204 cognitively normal participants ranging in age from 20 to 70 years. Results: We established normative values for the recognition of anger, disgust, joy, fear, surprise and sadness expressed on the faces of three individuals. There was a significant difference in the: 1) measurement (F (8.189) = 3896, p = 0.0001); 2) education level (χ 2 (12) = 28.4, p = 0.005); 3) face (F(2.195) = 10, p = 0.0001); 4)series (F (8.189)=28, p = 0.0001); 5) interaction between the identity and recognition of emotions (F (16, 181 =11, p = 0.0001). However, performance did not differ according to: 1) age (F (6.19669) = 1.35, p = 0.2) or 2) level of education (F (1, 1587) = 0.6, p = 0.4). Conclusions: In healthy participants, the VRFEE remains stable throughout the lifespan when cognitive functions remain optimal. Disgust, * Corresponding author. # Unfortunately, JPVG died in May 2006. P. Granato et al. 252sadness, fear, and joy seem to be the four most easily recognized facial emotions, while anger and surprise are not easily recognized. Visual recognition of disgust and fear is independent of aging. The characteristics of a face have a significant influence on the ease with which people recognize expressed emotions (idiosyncrasy). Perception and recognition of emotions is categorical, even when the facial images are integrated in a spectrum of morphs reflecting two different emotions on either side.

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Section: Discussionmentioning

confidence: 99%

Section: Computer Software and Testsmentioning

confidence: 99%

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A Study of Visual Recognition of Facial Emotional Expressions in a Normal Aging Population in the Absence of Cognitive Disorders

Granato¹,

Vinekar²,

Godefroy³

et al. 2014

OJPsych

Self Cite

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“…We examined whether naltrexone affected participants' discrimination performance of pain expressions by comparing the fitted trends of participants' pain choices at each pain intensity. According to previous studies, the relationship between categorical perception and the morphed stimuli could be fitted into a sigmoid function (Granato et al., 2012; McCullough & Emmorey, 2009; McKone et al., 2001). Following this procedure, we fitted a sigmoid model to each participant's pain choices (proportion of answering “pain”) at seven intensities, and then, extracted the fitted parameters: the slope of the sigmoid curve and the point of subjective equivalence (PSE) at which participants equally chose pain or disgust (Cook et al., 2013) using the Palamedes toolbox (http://www.palamedestoolbox.org/).…”

Section: Methodsmentioning

confidence: 99%

Pharmacological fMRI provides evidence for opioidergic modulation of discrimination of facial pain expressions

et al. 2020

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The endogenous opioid system is strongly involved in the modulation of pain. However, the potential role of this system in perceiving painful facial expressions from others has not been sufficiently explored as of yet. To elucidate the contribution of the opioid system to the perception of painful facial expressions, we conducted a double‐blind, within‐subjects pharmacological functional magnetic resonance imaging (fMRI) study, in which 42 participants engaged in an emotion discrimination task (pain vs. disgust expressions) in two experimental sessions, receiving either the opioid receptor antagonist naltrexone or an inert substance (placebo). On the behavioral level, participants less frequently judged an expression as pain under naltrexone as compared to placebo. On the neural level, parametric modulation of activation in the (putative) right fusiform face area (FFA), which was correlated with increased pain intensity, was higher under naltrexone than placebo. Regression analyses revealed that brain activity in the right FFA significantly predicted behavioral performance in disambiguating pain from disgust, both under naltrexone and placebo. These findings suggest that reducing opioid system activity decreased participants' sensitivity for facial expressions of pain, and that this was linked to possibly compensatory engagement of processes related to visual perception, rather than to higher level affective processes, and pain regulation.

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“…We examined whether naltrexone affected participants' discrimination performance of pain expressions by comparing the fitted trends of participants' pain choices at each pain intensity. According to previous studies, the relationship between categorical perception and the morphed stimuli could be fitted into a sigmoid function (McKone et al, 2001;McCullough and Emmorey 2009;Granato et al, 2012). Following this procedure, we fitted a sigmoid model to each participant's pain choices (proportion of answering "pain") at seven intensities, and then extracted the fitted parameters: the slope of the sigmoid curve and the point of subjective equivalence (PSE) at which participants equally chose pain or disgust (Cook et al, 2013) using the Palamedes toolbox (http://www.palamedestoolbox.org/).…”

Section: Behavioral Analysismentioning

confidence: 99%

Pharmacological fMRI provides evidence for opioidergic modulation of discrimination of facial pain expressions

Yan¹,

Rütgen²,

Zhang³

et al. 2020

Preprint

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The endogenous opioid system is strongly involved in the modulation of pain. However, the potential role of this system in perceiving facial pain signals from others has not been sufficiently explored as of yet. To elucidate the contribution of the opioid system to the perception of painful facial expressions, we conducted a double-blind, within-subjects pharmacological functional magnetic resonance imaging (fMRI) study, in which 42 participants engaged in an emotion discrimination task (pain vs. disgust expressions) in two experimental sessions, receiving either the opioid receptor antagonist naltrexone or an inert substance (placebo). On the behavioral level, participants less frequently judged an expression as pain in the naltrexone session compared with the placebo session. On the neural level, parametric modulation of activation in the (putative) right fusiform face area (FFA), which was correlated with increased pain intensity, was higher in the naltrexone than in the placebo session. Regression analyses revealed that brain activity in the right FFA significantly predicts behavioral performance in disambiguating pain from disgust, without difference between sessions. These findings suggest that reducing opioid system activity decreased participants' sensitivity for facial expressions of pain, and that this was linked to possibly compensatory engagement of processes related to visual perception, rather than to higher-level affective processes, and pain regulation.

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Evidence of impaired facial emotion recognition in mild Alzheimer’s disease: A mathematical approach and application

Abstract: ABSTRACT

Cited by 4 publications

References 52 publications

A Study of Visual Recognition of Facial Emotional Expressions in a Normal Aging Population in the Absence of Cognitive Disorders

A Study of Visual Recognition of Facial Emotional Expressions in a Normal Aging Population in the Absence of Cognitive Disorders

Pharmacological fMRI provides evidence for opioidergic modulation of discrimination of facial pain expressions

Pharmacological fMRI provides evidence for opioidergic modulation of discrimination of facial pain expressions

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