Alexithymia and emotion dysregulation in adult patients with epilepsy

A comparison of patients with epileptic seizures (ES) versus those with psychogenic non-epileptic seizures (PNES) on measures of alexithymia, mood, and anxiety

OBJECTIVE

To compare persons with epilepsy (PWE) to those with psychogenic non-epileptic seizures (PNES) on measures of depression, anxiety, and alexithymia subscales (i.e., difficulty identifying emotions, difficulty describing emotions, and external-oriented thinking).

MATERIAL AND METHODS

In this retrospective study, 235 epilepsy patients and 90 patients with PNES were evaluated between 2012 and 2020 at the Northeast Regional Epilepsy Group. These patients had completed the Toronto Alexithymia Scale (TAS-20), The Center for Epidemiologic Studies - Depression Scale (CES-D) and The State-Trait Anxiety Inventory (STAI). Background information was collected regarding work/student/disability status at the time of the evaluation history of psychiatric diagnosis; psychological trauma; and involvement in psychotherapy either at the time of the evaluation or prior.

RESULTS

Significant differences between PWEs and those with PNES were found not only in historical data (e.g., Psychiatric History, History of Trauma, and History of Therapy) (p < .001) but also on measures of Depression (p = .002) and Anxiety (p < .001). ANOVA analysis also revealed significant differences in the distribution of the TAS-Total score, TAS-Describing emotions, and TAS-Identifying emotions. Using logistic regression (stepwise model) the optimal set of predictors for a differential diagnosis of epilepsy and PNES was combination of TAS-Identifying emotions score, history of psychological trauma, and history of therapy. The accuracy of the prediction was determined to be 80.2 %.

CONCLUSIONS

Although higher alexithymia rates are present in PNES and PWEs, clinicians may find a combination of TAS-Identifying Emotion score, history of trauma, and history of psychotherapy useful in supporting a differential diagnosis. Also, a subgroup may exist among those with PNES with high levels of alexithymia, depression, and anxiety that may require a different treatment approach focused on addressing difficulties in identifying and describing their emotions and their other symptomatology.

Spatiotemporal responses to emotional conflict and its psychiatric correlates in adolescents with epilepsy using magnetoencephalography

People with epilepsy often suffer from comorbid psychiatric disorders, which negatively affects their quality of life. Emotion regulation is an important cognitive process that is impaired in individuals with psychiatric disorders, such as depression. Adults with epilepsy also show difficulties in emotion regulation, particularly during later-stage, higher-order cognitive processing. Yet, the spatiotemporal and frequency correlates of these functional brain deficits in epilepsy remain unknown, as do the nature of these deficits in adolescent epilepsy. Here, we aim to elucidate the spatiotemporal profile of emotional conflict processing in adolescents with epilepsy, relative to controls, using magnetoencephalography (MEG) and relate these findings to anxiety and depression symptom severity assessed with self-report scales. We hypothesized to see blunted brain activity during emotional conflict in adolescents with epilepsy, relative to controls, in the posterior parietal, prefrontal and cingulate cortices due to their role in explicit and implicit regulation around participant response (500-1000 ms). We analyzed MEG recordings from 53 adolescents (28 epilepsy [14focal,14generalized], 25 controls) during an emotional conflict task. We showed that while controls exhibited behavioral interference to emotional conflict, adolescents with epilepsy failed to exhibit this normative response time pattern. Adolescents with epilepsy showed blunted brain responses to emotional conflict in brain regions related to error evaluation and learning around the average response time (500-700 ms), and in regions involved in decision making during post-response monitoring (800-1000 ms). Interestingly, behavioral patterns and psychiatric symptom severity varied between epilepsy subgroups, wherein those with focal epilepsy showed preserved response time interference. Thus, brain responses were regressed with depression and anxiety levels for each epilepsy subgroup separately. Analyses revealed that under activation in error evaluation regions (500-600 ms) predicted anxiety and depression in focal epilepsy, while regions related to learning (600-700 ms) predicted anxiety in generalized epilepsy, suggesting differential mechanisms of dysfunction in these subgroups. Despite similar rates of anxiety and depression across the groups, adolescents with epilepsy still exhibited deficits in emotional conflict processing in brain and behavioral responses. This suggests that these deficits may exist independently from psychopathology and may stem from underlying dysfunctions that predispose these individuals to develop both disorders. Findings such as these may provide potential targets for future research and therapies.

Effects of attachment styles, childhood traumas, and alexithymia in Turkish patients with epilepsy and functional seizures

INTRODUCTION

In this cross-sectional study, we used self-report scales to compare childhood traumas, attachment styles, and alexithymia among patients with functional seizures (FS) to patients with epilepsy and healthy controls. We also investigated risk factors associated with FS.

MATERIAL AND METHODS

A total of 44 patients with epilepsy, 14 patients with FS, and 25 healthy controls were included. All participants were over the age of 18 and were referred to the Baskent University Adana Epilepsy and Video-EEG Center. The patients underwent neurological examinations, brain MRIs, and video-EEG evaluations. Epileptic seizures were classified based on video EEG. The control group consisted of healthy individuals without neurological or psychiatric illness and a history of epileptic seizures or syncope. Beck Depression Inventory (BDI), Childhood Trauma Questionnaire (CTQ), Adult Attachment Scale (AAS), and Toronto Alexithymia Scale-20 (TAS-20) were applied to all participants.

RESULTS

Patients with FS had lower educational levels, higher rates of unemployment and single-marital status. The FS group had higher depression, childhood trauma, and alexithymia scores than the other groups. Furthermore, FS patients had a higher prevalence of avoidant attachment. The alexithymia and childhood trauma scores were both correlated with depression. Through the logistic regression analysis, childhood trauma scores and alexithymia were significant risk factors for FS.

CONCLUSION

The use of video-EEG for diagnosing FS can reduce the risk of misdiagnosis and inappropriate antiepileptic treatment. Psychiatric comorbidities, childhood traumas, and alexithymia are prevalent in patients with FS. Therefore, implementing a multidisciplinary treatment approach that addresses the psychological, medical, and social aspects of FS can significantly improve outcomes.

Stress phenotypes in epilepsy: impact on cognitive functioning and quality of life

Introduction

Drug-resistant epilepsy has been proposed as a chronic stress model. Stress can be measured in terms of chronicity (epilepsy duration) and intensity (comorbidities), with depression and anxiety among the most important comorbidities in epilepsy due to its prevalence and its relationship with cognitive functioning and quality of life. This study aims to establish phenotypes according to how patients face a stressful condition (epilepsy) and examine differences in cognition and quality of life depending on these phenotypes. We hypothesize that there will be an interrelationship between epilepsy duration and negative affectivity, and these variables will influence cognition and quality of life.

Methods

170 patients (82 men and 88 women) underwent a neuropsychological evaluation in which trait anxiety, depression, attention and executive function, verbal and visual memory, language, emotional recognition, and quality of life were assessed. Hierarchical clustering was performed using z-scores for three variables: trait anxiety; depression; and epilepsy duration.

Results

Three clusters were found: vulnerable (high negative affectivity and short duration); resilient (moderate negative affectivity and long duration); and low-impact group (low negative affectivity and short duration). Results show that the vulnerable group had poorer cognitive functioning and quality of life than the other groups. Specifically, the vulnerable group had poorer scores than the low-impact group on verbal memory, visual confrontation naming, and quality of life (except seizure worry). Furthermore, resilient patients had better scores than the low-impact group on cognitive flexibility variables, but lower scores on some quality-of-life subscales (i.e., overall quality of life, emotional well-being, and energy). Finally, the vulnerable group had poorer scores than the resilient group in executive functioning, naming, and quality of life.

Discussion

These results suggest that dealing with stress in patients with epilepsy is related to cognitive performance and quality of life. These findings underline the relevance of considering comorbidities in epilepsy and may be useful for detecting vulnerable or resilient profiles as risk or protective factors for cognitive and quality of life decline.

Alexithymia and related factors among patients with epilepsy

OBJECTIVE

Alexithymia is a psychiatric symptom characterized by difficulties in emotion recognition, expression, and regulation. The purpose of our study was to investigate the prevalence of alexithymia among patients with epilepsy (PWE) and related factors.

METHODS

By the means of a cross-sectional study, we consecutively recruited PWE who visited the First Hospital of Jilin University. The demographical information and clinical data were collected. Toronto Alexithymia Scale-20 (TAS-20), Emotion Regulation Questionnaire (ERQ), Kilifi Stigma Scale for Epilepsy (KSSE), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Generalized Anxiety Disorder-7 (GAD-7), and Nurses' Global Assessment of Suicide Risk scale (NGASR) scales were applied to assess alexithymia, emotion regulation strategies, and the presence of comorbid psychiatric symptoms.

RESULTS

A total of 203 PWE were included. The differences in education, monthly per capita income of the family, and the number of antiepileptic drugs were statistically significant among these three groups with alexithymia, possible alexithymia, and non-alexithymia (p < 0.05). Toronto Alexithymia Scale-20 scores were significantly and positively correlated with BMI (rho = 0.143, p = 0.042). Expression suppression, stigma, and generalized anxiety were independent risk factors for alexithymia (R² = 0.471, F = 19.075, p < 0.001).

CONCLUSIONS

A high prevalence of alexithymia (18.7%) was found in PWE. Alexithymia is primarily influenced by the emotional regulation strategies, anxiety, and stigma among PWE. It tends to be a mood symptom or personality trait rather than a direct result of epilepsy.

Determinants of medication adherence in people with epilepsy: A multicenter, cross-sectional survey

OBJECTIVES

Poor medication adherence in people with epilepsy (PwE) increases mortality, hospitalization, and poor quality of life, representing a critical challenge for clinicians. Several demographic, clinical, and neuropsychological factors were singularly found associated with medication adherence in several studies, but the literature lacks a comprehensive study simultaneously assessing all these variables.

METHODS

We performed a multicenter and cross-sectional study using online questionnaires with the following clinical scales: Morisky Medication Adherence Scale (MMAS-8), Quality of Life in Epilepsy Inventory 31 (QoLIE-31), Beck Depression Inventory-II (BDI-II), Generalized Anxiety Disorder-7 (GAD-7) and 14-item Resilience scale (RES14) in a population of 200 PwE. We used the ANOVA test and Spearman's correlation to evaluate the relationship between medication adherence and demographic, clinical (seizure frequency, number of anti-seizure medications), and neuropsychological characteristics. We trained separate machine learning models (logistic regression, random forest, support vector machine) to classify patients with medium-high adherence (MMAS-8 ≥ 6) and poor adherence (MMAS-8 < 6) and to identify the main features that influence adherence.

RESULTS

Women were more adherent to medication (p-value = 0.035). Morisky Medication Adherence Scale -8 showed a direct correlation with RES14 (p-value = 0.001) and age (p-value = 0.001), while was inversely correlated with BDI-II (p-value = 0.001) and GAD-7 (p-value = 0.001). In our model, the variables mostly predicting treatment adherence were QoLIE-31 subitems, followed by age, resilience, anxiety, years of school, and disease duration.

CONCLUSION

Our study confirms that gender, age, and neuropsychological traits are relevant factors in predicting medication adherence to PwE. Furthermore, our data provided the first evidence that machine learning on multidimensional self-report questionnaires could help to develop a decisional support system in outpatient epilepsy clinics.

The Predictive Role of Cognitive Emotion Regulation of Adolescents with Chronic Disease and Their Parents in Adolescents' Quality of Life: A Pilot Study

BACKGROUND

The purpose of this study was to investigate cognitive emotion regulation in adolescents with chronic illness and their parents.

METHODS

Eighty-five young people (mean = 15.86 years, standard deviation = ± 1.42, girls 65.88%) with chronic illnesses (inflammatory bowel disease n = 40 or type 1 diabetes n = 45), and their parents (mean = 46.06 years, 87.06% mother) completed the Cognitive Emotion Regulation Questionnaire (CERQ) for themselves and the Inventory of Quality of Life in Children and Adolescents (ILC) questionnaire adolescent and parent version. We conducted two hierarchical linear regression analyses with "enter" method. The CERQ scales and the diagnosis of chronic disease were chosen as independent variables, and the total ILC score in the first analysis and the ILC proxy score in the second analysis were chosen as dependent variables.

RESULTS

Among adolescents, cognitive emotion regulation strategies such as self-blame, positive reappraisal, and catastrophizing have been proven to be predictors of their own quality of life; however, parental self-blame was also found to be a predictor of adolescents' quality of life. Parental rumination and positive refocusing have been shown to be predictors of how parents rate their child's quality of life.

CONCLUSIONS

The present study sheds light on cognitive emotion regulation strategies in adolescents with chronic illness and their parents that have a significant impact on the development of young people's quality of life.

Effect of alexithymia and difficulty of emotion regulation, neuroticism, low extraversion, and suicidality on quality of life in epilepsy

OBJECTIVE

The objective of this study was to investigate alexithymia, emotion dysregulation, suicidality, and personality traits in people with epilepsy (PWE) and to evaluate their effects on quality of life.

MATERIALS AND METHODS

Forty-six consecutive PWE and forty healthy control subjects (HC) were recruited for the study. Both PWE and HC were interviewed and completed the following questionnaires: Toronto Alexithymia Scale-20(TAS-20), Difficulties in Emotion Regulation Scale (DERS), Eysenck Personality Questionnaire, Suicidal Ideation Scale, Beck Depression Inventory-II, Beck Anxiety Inventory, and Quality Of Life In Epilepsy-31.

RESULTS

TAS-20 and difficulty identifying feelings which was the subgroup of TAS-20, scores of total and non-acceptance, goals, impulse, strategies, and clarity subgroups of DERS were statistically significantly higher in PWE (p = 0.01, 0.004, 0.01, 0.07, 0.009, 0.06, 0.01, respectively). Considering the personality characteristics, neuroticism was more common in PWE, while extraversion was less common. Suicidal ideation and anxiety scores were higher in PWE than HC (p = 0.02, p = 0.003). Anxiety, suicidal ideation, neuroticism, alexithymia and emotion dysregulation had a negative relationship on quality of life. (r = -0.54, p < 0.001; r = -0.54, p < 0.001; r = -0.62, p < 0.001; r = -0.32, p = 0.02; r = -0.52, p < 0.001).

CONCLUSION

Difficulty identifying feelings, dysregulation of emotions especially nonacceptance, goals, impulse, strategies, and clarity are common in PWE. Anxiety, suicidal ideation, neuroticism, alexithymia, and emotion dysregulation had a negative impact on quality of life. Each of these are important for psychosocial wellbeing of our patients and must be questioned considering their effects on quality of life.

Difficulties in emotion and social support in people with epilepsy: relationship with depression levels

Amaç: Bu çalışmada epilepsili bireylerde depresyon düzeyi ile duygu düzenleme güçlükleri ve sosyal destek arasındaki ilişkiyi incelemeyi amaçladık. Gereç ve Yöntem: Fokal epilepsi tanısı ile takip edilmekte olan hastalara Nörolojik Bozukluklarda Depresyon Ölçeği-Epilepsi (NDDI-E), Duygu Düzenleme Güçlükleri Ölçeği (DDGÖ) ve İki Yönlü Sosyal Destek Ölçeği (2-YSDÖ) verilmiştir. Bulgular: Çalışmaya 109 hasta dahil edilmiştir. Hastaların %25’inde depresyon saptanmıştır. Depresyonu olan olguların DDGÖ median değeri 45 (28-55), depresyon saptanmayan grubun ise 24 (18-33,5)’dür. Depresyonu olan grubun DDGÖ skorunun depresyonu olmayan gruba kıyasla anlamlı derecede yüksek olduğu tespit edilmiştir. Tüm çalışma popülasyonunda yapılan 2-YSDÖ (92 (69,5-102,5)) ve DDGÖ (27 (19-41)) skorlarının korelasyon analizinde sosyal destek ve duygu düzenleme güçlükleri arasında negatif bir ilişki mevcuttur. Regresyon analizine göre ise duygu düzenleme güçlükleri depresyonun ana belirleyicisidir ve depresyonu %16,8 oranında açıklamaktadır. Sonuç: Epilepsili bireylerde duygu düzenleme güçlükleri depresyonun ana belirleyicilerinden biridir ve yetersiz sosyal destek duygu düzenleme güçlükleri ile ilişkilidir. Epilepsili bireylerde depresyon sıklığını azaltmak için duygu düzenleme stratejilerini güçlendirecek rehabilitasyon programlarına ihtiyaç vardır.

Predictors of Comorbid Anxiety Symptoms After a New Diagnosis of Epilepsy: A Prospective 12-Month Follow-Up Observation

Objectives: We aimed to identify the factors contributing to comorbid anxiety symptoms over a 12-month follow-up period in Chinese adults with newly diagnosed epilepsy. Methods: Adult patients with newly diagnosed epilepsy (PWNDE) were recruited from First Hospital, Jilin University. Anxiety symptoms were assessed using the Generalized Anxiety Disorder-7 questionnaire (GAD-7; Chinese version) at 12 months. Multivariate stepwise logistic regression analysis was employed to identify the predictors for anxiety symptoms at 12 months. Results: A total of 157 PWNDE completed the study and were included in the final analysis. The percentage of participants with anxiety symptoms significantly decreased from 31.2% at baseline to 23.6% at 12 months (p = 0.027). Multivariate stepwise logistic regression analysis indicated that depressive symptoms at baseline [odds ratio (OR) 3.877 (95% confidence interval (CI) 1.683-8.933); P = 0.001] and the number of antiseizure medications (ASMs) during the follow-up period [OR 2.814 (95% CI 1.365-5.803); P = 0.005] were independent factors contributing to comorbid anxiety symptoms at 12 months. Conclusion: Depressive symptoms at baseline and the number of ASMs during the follow-up period were significant predictors of comorbid anxiety symptoms 12 months after a diagnosis of epilepsy.

Functional Gastrointestinal Disorders in Patients With Epilepsy: Reciprocal Influence and Impact on Seizure Occurrence

Introduction: The complex relationship between the microbiota-gut-brain axis (MGBA) and epilepsy has been increasingly investigated in preclinical studies. Conversely, evidence from clinical studies is still scarce. In recent years, the pivotal role of MGBA dysregulation in the pathophysiology of functional gastrointestinal disorders (FGID) has been recognized. With this background, we aimed to investigate the prevalence of FGID in patients with epilepsy (PWE) and the possible impact of bowel movement abnormalities on seizure recurrence. Methods: A total of 120 PWE and 113 age-, sex-, and BMI-matched healthy subjects (HS) were consecutively enrolled. A questionnaire to evaluate the presence of FGID (according to Rome III diagnostic criteria) was administrated to all participants. In a subgroup of drug-resistant patients, we administered an ad-hoc questionnaire combining Bristol stool charts and seizure diaries to evaluate seizure trends and bowel movement changes. Results: A higher prevalence of FGID in PWE (62.5%) than in HS (39.8%) was found (p < 0.001). The most frequently observed disorder was constipation, which was significantly higher in PWE than in HS (43.3 vs. 21.2%, p < 0.001), and was not associated with anti-seizure medication intake according to multivariable analysis. In drug-resistant patients, most seizures occurred during periods of altered bowel movements, especially constipation. A significant weak negative correlation between the number of days with seizures and the number of days with normal bowel movements was observed (p = 0.04). According to multivariable logistic regression analysis, FGID was significantly associated with temporal lobe epilepsy as compared with other lobar localization (p = 0.03). Conclusions: Our clinical findings shed new light on the complex relationship between epilepsy and the MGBA, suggesting a bidirectional link between bowel movement abnormalities and seizure occurrence. However, larger studies are required to better address this important topic.