Clinical Research Directory

Facial Emotion Recognition in Insomnia and Emotional Regulation

Sponsor: University Hospital, Angers

Summary

Introduction Chronic insomnia is a prevalent disorder in the general population, affecting up to 20% according to French National Institute of Health and Medical Research, leading to a decline in quality of life and an increased risk of developing certain psychiatric disorders, notably major depressive episodes. Chronic insomnia, particularly when accompanied by reduced sleep duration, has been associated with cognitive impairments documented in the literature, such as reduced concentration, working memory, vigilance, and certain executive functions. While some studies suggest subjective cognitive impairment in insomnia, it remains inconclusive when objectively measured. Individuals with chronic insomnia often report a global deterioration in social life, characterized by irritability, attentional difficulties, asthenia, and social isolation. This raises questions about potential impairments in social abilities, particularly in recognizing facial emotions, which may be linked to the subjective complaints of reduced quality of life in individuals with insomnia. Several studies have explored facial emotion recognition in insomnia, with some indicating impairments in emotion recognition or evaluation of emotion intensity. Others demonstrated deficits in recognizing specific emotions (such as anger) or representations (such as fatigue), which were associated with attentional deficits and changes in visual fixation points in eye-tracking studies. However, some authors found no significant association between insomnia complaints and impaired facial emotion recognition. Facial emotion recognition has been studied using eye-tracking in major depressive episodes, attention-deficit/hyperactivity disorder (ADHD), and autism spectrum disorders. Eye-tracking studies have revealed attentional biases toward negative emotions in depression and deficits in visual attention to the eye region in autism, contributing to impaired facial emotion recognition. To date, no study has compared facial emotion recognition abilities between individuals with insomnia and a control group, considering attentional deficits and emotional dysregulation described in insomnia. Methods The study aims to compare two groups: one with isolated insomnia (without associated psychiatric disorders) and a control group (without insomnia or psychiatric disorders). Patients with psychiatric or addictive disorders will be excluded based on Diagnostic and Statistical Manual of Mental Disorders, version 5 (DSM-V) psychiatric interviews. Participants aged over 65 or under 18 will also be excluded to mitigate potential biases related to dementia and cognitive alterations not related to insomnia. The insomnia group will consist of individuals seeking care at the Sleep Center of Angers University Hospital for chronic insomnia (lasting more than 3 months). Insomnia will be confirmed using the Insomnia Severity Index (ISI), with a score exceeding 15, while individuals with subclinical insomnia (ISI score between 7 and 15) will be excluded. The control group will have an ISI score below 7 (indicating the absence of insomnia). The main objective is to determine whether facial emotion recognition differs between the insomnia and control groups. Secondary objectives include assessing differences between explicit facial emotion recognition tests (controlled conditions) and eye-tracking tests (implicit memory) in both groups to evaluate attentional biases. Additionally, the study aims to explore differences in facial emotion recognition tests based on emotional regulation profiles (adaptive or non-adaptive regulation). Expected Results The hypothesis is that facial emotion recognition under controlled conditions (explicit memory) will not differ between the insomnia and control groups. However, differences are expected in implicit memory tests (eye-tracking) due to the attentional deficits previously described in insomnia. Additionally, variations in facial emotion recognition are anticipated based on emotional regulation profiles, which may influence facial emotion recognition in insomnia. The study's findings could contribute to a better understanding of cognitive complaints related to insomnia, especially in the realm of social interactions, by objectively assessing and specifying potential biases. This research may also inform targeted therapeutic approaches, particularly in cognitive-behavioral therapy, focusing on cognitive remediation and restructuring. Ultimately, the study's outcomes could guide the development of specific rehabilitation programs centered on facial emotion recognition, emotional deficits, and emotional dysregulation in insomnia.

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