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Ilkevič E, Hausmann M, Grikšienė R. Emotion recognition and regulation in males: Role of sex and stress steroids. Front Neuroendocrinol 2024; 74:101145. [PMID: 38862092 DOI: 10.1016/j.yfrne.2024.101145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 06/04/2024] [Accepted: 06/07/2024] [Indexed: 06/13/2024]
Abstract
Understanding emotions in males is crucial given their higher susceptibility to substance use, interpersonal violence, and suicide compared to females. Steroid hormones are assumed to be critical biological factors that affect and modulate emotion-related behaviors, together with psychological and social factors. This review explores whether males' abilities to recognize emotions of others and regulate their own emotions are associated with testosterone, cortisol, and their interaction. Higher levels of testosterone were associated with improved recognition and heightened sensitivity to threatening faces. In contrast, higher cortisol levels positively impacted emotion regulation ability. Indirect evidence from neuroimaging research suggested a link between higher testosterone levels and difficulties in cognitive emotion regulation. However, this notion must be investigated in future studies using different emotion regulation strategies and considering social status. The present review contributes to the understanding of how testosterone and cortisol affect psychological well-being and emotional behavior in males.
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Affiliation(s)
- Erik Ilkevič
- Department of Neurobiology and Biophysics, Life Science Center, Vilnius University, Lithuania
| | | | - Ramunė Grikšienė
- Department of Neurobiology and Biophysics, Life Science Center, Vilnius University, Lithuania.
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Prete G, Ceccato I, Bartolini E, Di Crosta A, La Malva P, Palumbo R, Laeng B, Tommasi L, Mammarella N, Di Domenico A. Detecting implicit and explicit facial emotions at different ages. Eur J Ageing 2024; 21:8. [PMID: 38499844 PMCID: PMC10948669 DOI: 10.1007/s10433-024-00805-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/12/2024] [Indexed: 03/20/2024] Open
Abstract
Emotions are processed in the brain through a cortical route, responsible for detailed-conscious recognition and mainly based on image High Spatial Frequencies (HSF), and a subcortical route, responsible for coarse-unconscious processing and based on Low SF (LSF). However, little is known about possible changes in the functioning of the two routes in ageing. In the present go/no-go online task, 112 younger adults and 111 older adults were asked to press a button when a happy or angry face appeared (go) and to inhibit responses for neutral faces (no-go). Facial stimuli were presented unfiltered (broadband image), filtered at HSF and LSF, and hybrids (LSF of an emotional expression superimposed to the HSF of the same face with a neutral expression). All stimuli were also presented rotated on the vertical axis (upside-down) to investigate the global analysis of faces in ageing. Results showed an overall better performance of younger compared to older participants for all conditions except for hybrid stimuli. The expected face-inversion effect was confirmed in both age groups. We conclude that, besides an overall worsening of the perceptual skill with ageing, no specific impairment in the functioning of both the cortical and the subcortical route emerged.
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Affiliation(s)
- Giulia Prete
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy
| | - Irene Ceccato
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy.
| | - Emanuela Bartolini
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Adolfo Di Crosta
- Department of Medicine and Aging Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Pasquale La Malva
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy
| | - Rocco Palumbo
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy
| | - Bruno Laeng
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Luca Tommasi
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy
| | - Nicola Mammarella
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy
| | - Alberto Di Domenico
- Department of Psychological, Health and Territorial Sciences, "G. d'Annunzio" University of Chieti-Pescara, 31, Via Dei Vestini, 66013, Chieti, Italy
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Entzmann L, Guyader N, Kauffmann L, Peyrin C, Mermillod M. Detection of emotional faces: The role of spatial frequencies and local features. Vision Res 2023; 211:108281. [PMID: 37421829 DOI: 10.1016/j.visres.2023.108281] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 06/18/2023] [Accepted: 06/28/2023] [Indexed: 07/10/2023]
Abstract
Models of emotion processing suggest that threat-related stimuli such as fearful faces can be detected based on the rapid extraction of low spatial frequencies. However, this remains debated as other models argue that the decoding of facial expressions occurs with a more flexible use of spatial frequencies. The purpose of this study was to clarify the role of spatial frequencies and differences in luminance contrast between spatial frequencies, on the detection of facial emotions. We used a saccadic choice task in which emotional-neutral face pairs were presented and participants were asked to make a saccade toward the neutral or the emotional (happy or fearful) face. Faces were displayed either in low, high, or broad spatial frequencies. Results showed that participants were better to saccade toward the emotional face. They were also better for high or broad than low spatial frequencies, and the accuracy was higher with a happy target. An analysis of the eye and mouth saliency ofour stimuli revealed that the mouth saliency of the target correlates with participants' performance. Overall, this study underlines the importance of local more than global information, and of the saliency of the mouth region in the detection of emotional and neutral faces.
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Affiliation(s)
- Léa Entzmann
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France; Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France; Icelandic Vision Lab, School of Health Sciences, University of Iceland, Reykjavík, Iceland.
| | - Nathalie Guyader
- Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France
| | - Louise Kauffmann
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Carole Peyrin
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Martial Mermillod
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
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Lacroix A, Harquel S, Mermillod M, Vercueil L, Alleysson D, Dutheil F, Kovarski K, Gomot M. The Predictive Role of Low Spatial Frequencies in Automatic Face Processing: A Visual Mismatch Negativity Investigation. Front Hum Neurosci 2022; 16:838454. [PMID: 35360280 PMCID: PMC8963370 DOI: 10.3389/fnhum.2022.838454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/11/2022] [Indexed: 12/17/2022] Open
Abstract
Visual processing is thought to function in a coarse-to-fine manner. Low spatial frequencies (LSF), conveying coarse information, would be processed early to generate predictions. These LSF-based predictions would facilitate the further integration of high spatial frequencies (HSF), conveying fine details. The predictive role of LSF might be crucial in automatic face processing, where high performance could be explained by an accurate selection of clues in early processing. In the present study, we used a visual Mismatch Negativity (vMMN) paradigm by presenting an unfiltered face as standard stimulus, and the same face filtered in LSF or HSF as deviant, to investigate the predictive role of LSF vs. HSF during automatic face processing. If LSF are critical for predictions, we hypothesize that LSF deviants would elicit less prediction error (i.e., reduced mismatch responses) than HSF deviants. Results show that both LSF and HSF deviants elicited a mismatch response compared with their equivalent in an equiprobable sequence. However, in line with our hypothesis, LSF deviants evoke significantly reduced mismatch responses compared to HSF deviants, particularly at later stages. The difference in mismatch between HSF and LSF conditions involves posterior areas and right fusiform gyrus. Overall, our findings suggest a predictive role of LSF during automatic face processing and a critical involvement of HSF in the fusiform during the conscious detection of changes in faces.
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Affiliation(s)
- Adeline Lacroix
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, Grenoble, France
- *Correspondence: Adeline Lacroix
| | - Sylvain Harquel
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, Grenoble, France
- Defitech Chair in Clinical Neuroengineering, Center for Neuroprosthetics and Brain Mind Institute, EPFL, Geneva, Switzerland
| | - Martial Mermillod
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, Grenoble, France
| | - Laurent Vercueil
- Grenoble Institut Neurosciences, InsermU1216, CHU Grenoble, Grenoble, France
| | - David Alleysson
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, Grenoble, France
| | - Frédéric Dutheil
- Université Clermont Auvergne, CNRS, LaPSCo, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Klara Kovarski
- Hôpital Fondation Rothschild, I3N, Paris, France
- Université de Paris, INCC UMR 8002, CNRS, Paris, France
| | - Marie Gomot
- UMR 1253 iBrain, Université de Tours, Inserm, Tours, France
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