What factors contribute to the risk of depression in epilepsy?--Tasmanian Epilepsy Register Mood Study (TERMS)

Emotion-dependent language featuring depression

BACKGROUND AND OBJECTIVES

Understanding language features of depression contributes to the detection of the disorder. Considering that depression is characterized by dysfunctions in emotion and individuals with depression often show emotion-dependent cognition, the present study investigated the speech features and word use of emotion-dependent narrations in patients with depression.

METHODS

Forty depression patients and forty controls were required to narrate self-relevant memories under five basic human emotions (i.e., sad, angry, fearful, neutral, and happy). Recorded speech and transcribed texts were analyzed.

RESULTS

Patients with depression, as compared to non-depressed individuals, talked slower and less. They also performed differently in using negative emotion, work, family, sex, biology, health, and assent words regardless of emotion manipulation. Moreover, the use of words such as first person singular pronoun, past tense, causation, achievement, family, death, psychology, impersonal pronoun, quantifier and preposition words displayed emotion-dependent differences between groups. With the involvement of emotion, linguistic indicators associated with depressive symptoms were identified and explained 71.6% variances of depression severity.

LIMITATIONS

Word use was analyzed based on the dictionary which does not cover all the words spoken in the memory task, resulting in text data loss. Besides, a relatively small number of depression patients were included in the present study and therefore the results need confirmation in future research using big emotion-dependent data of speech and texts.

CONCLUSIONS

Our findings suggest that consideration of different emotional contexts is an effective means to improve the accuracy of depression detection via the analysis of word use and speech features.

Anxiety and depressive symptoms in adults with new-onset seizures: A scoping review

OBJECTIVE

Anxiety and depression are common comorbidities in people living with epilepsy. Emerging research suggests that these conditions may even predate epilepsy onset. This review aimed to summarize the prevalence of clinically significant anxiety and depressive symptoms in people with first seizures and newly diagnosed epilepsy, as well as clinicodemographic factors associated with these symptoms.

METHODS

A scoping literature review was performed. OVID Medline and Embase were searched from January 1, 2000, through May 1, 2022. Articles of interest were selected based on predetermined inclusion and exclusion criteria.

RESULTS

From 1836 studies identified on screening, 16 met eligibility criteria and were included in the review. Clinically significant anxiety and depressive symptoms, as determined by validated cutoff scores for anxiety and depression screening instruments, were common in people with first seizures (range 13-28%) and newly diagnosed epilepsy (range 11-45%). They were associated with a range of clinicodemographic factors including past psychiatric history and trauma, personality traits, self-esteem, and stigma profiles.

SIGNIFICANCE

There is substantial evidence that clinically significant anxiety and depressive symptoms are often present at the time and shortly following the first seizure or epilepsy diagnosis. Future research is needed to better understand the complex interactions between these common psychiatric comorbidities, new-onset seizure disorders, and certain clinicodemographic characteristics. This knowledge may inform targeted and holistic treatment approaches.

Variation in prognosis and treatment outcome in juvenile myoclonic epilepsy: a Biology of Juvenile Myoclonic Epilepsy Consortium proposal for a practical definition and stratified medicine classifications

Reliable definitions, classifications and prognostic models are the cornerstones of stratified medicine, but none of the current classifications systems in epilepsy address prognostic or outcome issues. Although heterogeneity is widely acknowledged within epilepsy syndromes, the significance of variation in electroclinical features, comorbidities and treatment response, as they relate to diagnostic and prognostic purposes, has not been explored. In this paper, we aim to provide an evidence-based definition of juvenile myoclonic epilepsy showing that with a predefined and limited set of mandatory features, variation in juvenile myoclonic epilepsy phenotype can be exploited for prognostic purposes. Our study is based on clinical data collected by the Biology of Juvenile Myoclonic Epilepsy Consortium augmented by literature data. We review prognosis research on mortality and seizure remission, predictors of antiseizure medication resistance and selected adverse drug events to valproate, levetiracetam and lamotrigine. Based on our analysis, a simplified set of diagnostic criteria for juvenile myoclonic epilepsy includes the following: (i) myoclonic jerks as mandatory seizure type; (ii) a circadian timing for myoclonia not mandatory for the diagnosis of juvenile myoclonic epilepsy; (iii) age of onset ranging from 6 to 40 years; (iv) generalized EEG abnormalities; and (v) intelligence conforming to population distribution. We find sufficient evidence to propose a predictive model of antiseizure medication resistance that emphasises (i) absence seizures as the strongest stratifying factor with regard to antiseizure medication resistance or seizure freedom for both sexes and (ii) sex as a major stratifying factor, revealing elevated odds of antiseizure medication resistance that correlates to self-report of catamenial and stress-related factors including sleep deprivation. In women, there are reduced odds of antiseizure medication resistance associated with EEG-measured or self-reported photosensitivity. In conclusion, by applying a simplified set of criteria to define phenotypic variations of juvenile myoclonic epilepsy, our paper proposes an evidence-based definition and prognostic stratification of juvenile myoclonic epilepsy. Further studies in existing data sets of individual patient data would be helpful to replicate our findings, and prospective studies in inception cohorts will contribute to validate them in real-world practice for juvenile myoclonic epilepsy management.

Somatic symptoms and related disorders in a large cohort of people with epilepsy: A cohort study

OBJECTIVE

This study was undertaken to characterize somatic symptoms and related disorders (SSD) in epilepsy.

METHODS

Adults with epilepsy under active follow-up at a tertiary epilepsy center were consecutively enrolled. The diagnosis of SSD was performed by an experienced psychologist based on the structured clinical interview for Statistical Manual of Mental Disorders, 5th edition. Detailed social/demographic data, epilepsy features, psychiatric features, life quality, disability, and economic burden were collected and compared between people with SSD and those without. Bodily distress syndrome checklist, Somatic Symptom Disorder-B Criteria Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorder seven-item scale (GAD-7) were used to evaluate SSD individuals' somatic symptoms, symptom-related psychological distress, and depressive and anxious symptoms. Quality of life and disability were assessed by Quality of Life in Epilepsy Inventory 31 (QOLIE-31) and World Health Organization Disability Assessment Schedule V.2.0 (WHO DAS 2.0). A risk prediction nomogram was generated using least absolute shrinkage and selection operator (LASSO) analysis and validated.

RESULTS

One hundred fifty of 631 participants (24%) were diagnosed with SSD. In people with SSD, the top three most common somatic symptoms were memory impairment, headache, and dizziness (85%, 80%, and 78%, respectively), and multiple systems were involved in most (82%) people with SSD. Compared with people without SSD, those with SSD had lower QOLIE-31 total scores, and higher WHO DAS 2.0 scores and disease economic burdens. LASSO analysis suggested that a history of severe traumatic brain injury, hippocampal sclerosis, low seizure worry and medication effects scores on QOLIE-31, multiple systems affected by somatic symptoms, and a high GAD-7 score were risk factors of SSD. The nomogram was validated for good accuracy in the training and testing cohorts.

SIGNIFICANCE

SSD are likely to be a common comorbidity in epilepsy and harm epilepsy prognosis. Our risk prediction nomogram was successfully developed but needs further validation in larger cohorts.

Exploring the association between epilepsy and depression: A systematic review and meta-analysis

OBJECTIVE

This study offers meta-analytic data on the potential association between epilepsy and depression especially for the prevalence of depression in epilepsy or vice versa.

METHODS

The relevant studies were searched and identified from nine electronic databases. Studies that mentioned the prevalence and/or incidence of epilepsy and depression were included. Hand searches were also included. The search language was English and the search time was through May 2022. Where feasible, random-effects models were used to generate pooled estimates.

RESULTS

After screening electronic databases and other resources, 48 studies from 6,234 citations were included in this meta-analysis. The period prevalence of epilepsy ranged from 1% to 6% in patients with depression. In population-based settings, the pooled period prevalence of depression in patients with epilepsy was 27% (95% CI, 23-31) and 34% in clinical settings (95% CI, 30-39). Twenty studies reported that seizure frequency, low income, unemployment of the patients, perception of stigma, anxiety, being female, unmarried status, disease course, worse quality of life, higher disability scores, and focal-impaired awareness seizures were risk factors for depression.

CONCLUSION

Our study found that epilepsy was associated with an increased risk of depression. Depression was associated with the severity of epilepsy.

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.

Felt stigma may potentiate the relationship between perceived stress and depressive symptoms in persons with epilepsy

PURPOSE

This study assessed the strengths of association among perceived stress, felt stigma, and depression in adults with epilepsy, and evaluated whether felt stigma altered the association between perceived stress and depression.

METHODS

This multicenter, cross-sectional study included adults with epilepsy. Depression was assessed using the Beck Depression Inventory (BDI), and perceived stress was evaluated using the 10-item Perceived Stress Scale. Felt stigma was determined using the three-item Stigma Scale for Epilepsy, with individuals categorized as positive for felt stigma if they answered "yes" to at least one of these items. A hierarchical linear regression analysis and an analysis of covariance with interaction terms were performed.

RESULTS

The 316 adults with epilepsy included 171 men and 145 women; of these, 109 (34.5%) reported felt stigma. A hierarchical linear regression analysis showed that perceived stress was the most important correlate of depressive symptoms, followed by felt stigma, being unemployed, recurrence of generalized or focal to bilateral tonic-clonic seizures, and being married. The model explained 54.0% of the variance of BDI scores. Significant interactions between felt stigma and perceived stress on BDI scores was identified in both crude and adjusted models (p < 0.05 each). Specifically, in an adjusted model, BDI scores were more strongly associated with perceived stress in persons with (p < 0.001, partial eta² = 0.225) than without (p < 0.001, partial eta² = 0.205) felt stigma.

CONCLUSIONS

Perceived stress was the most significant correlate of depressive symptoms in adults with epilepsy, followed by felt stigma. The interaction between perceived stress and felt stigma on depressive symptoms was significant. These findings may help in developing cognitive behavioral therapy for stigma and stress management in persons with epilepsy.

Prevalence and determinants of depression in patients with epilepsy during the COVID-19 pandemic

Background

Epilepsy is one of the commonest and most serious neurological conditions. It is frequently associated with one or more medical or psychiatric comorbidities. Depression is one of the most common comorbidities. Patients with epilepsy (PWE) are expected to suffer from a high level of depression during the COVID-19 pandemic. This cross-sectional study was applied to 290 PWE. Data was collected by personal interviews with each patient using the Patient Health Questionnaire 9 (PHQ 9) scale for the diagnosis of depression and assessing its severity. We aimed to assess the prevalence and the risk factors of depression in PWE during the COVID-19 pandemic.

Results

We found that 70.3% of PWE suffered from depression. Low financial status, refractory seizures, fear of infection and death by COVID-19, had close relatives died by COVID-19, had a sleep disturbance, a decreased family support, increased seizure rate during the pandemic, increased ER visits during the pandemic, lack of drug adherence, and decreased epilepsy-related follow-up visits during the pandemic were significantly associated with increased risk of depression in PWE during the pandemic.

Conclusions

The COVID-19 pandemic has a serious effect on the psychological and physical well-being of PWE. There was an increased rate of depression during the COVID-19 pandemic in PWE with its subsequent burden on those patients. So, these patients are in a high need of care and support during the pandemic.

The Relationship Between Depression and Anxiety Symptoms of Adult PWE and Caregivers in a Tertiary Center

Background

Although several studies have emphasized the association between epilepsy and psychiatric disorders, fewer have investigated the impact of epilepsy on caregivers' emotional status, mainly in adult people with epilepsy (PWE). Here we investigated depressive symptoms, suicidal ideation, and anxiety symptoms in a large group of adult PWE and their caregivers.

Methods

We analyzed symptoms of depression [with the Beck Depression Inventory-II (BDI-II)], suicidal ideation (with BDI-II item 9), and anxiety symptoms (with the Beck Anxiety Inventory) in a large group of adult PWE [N = 548 (60% women; median age 41)] and caregivers [N = 191 (72% women; median age 47)] from a Brazilian tertiary center, considering sociodemographic and clinical aspects. We also applied the Liverpool Adverse Events Profile to assess anti-seizure drugs adverse events.

Results

While the presence (p = 0.026) (and intensity, p = 0.007) of depressive symptoms and suicidal ideation (p = 0.02) were higher in PWE compared to caregivers, the proportion of clinical anxiety symptoms (p = 0.32) (and the intensity, p = 0.13) was similar in both groups. Although the rates of suicidal ideation were higher in focal epilepsy (20%), both generalized genetic epilepsy and caregivers also presented elevated frequencies (11%) of suicidal ideation. The analyses of 120 patient-caregiver dyads revealed that the intensity of depressive symptoms in PWE (but not anxiety) correlated with the intensity of depressive (r = 0.35; p < 0.001) and anxiety (r = 0.25; p = 0.01) symptoms in their caregivers. In the multivariate analyses of PWE, focal epilepsy (compared to GGE) was associated with clinical depressive symptoms (odds ratio, OR 2.1) and suicidal ideation (OR 3.2), while recurrent seizures (compared to the seizure-free group) were associated with suicidal ideation (OR 2.6) and anxiety symptoms (OR 2.1). Also, caregivers with anxiety symptoms were 8 times more likely to exhibit depressive symptoms, and those with depressive symptoms were 8 times more likely to present anxiety symptoms.

Conclusion

Our study suggests that specific attention for the caregivers' mental health is as essential as PWE. There is an urgent need for more studies involving caregivers to identify their emotional distress and provide adequate treatment.

Long-term mood, quality of life, and seizure freedom in intracranial EEG epilepsy surgery

OBJECTIVES

To determine the long-term outcomes in patients undergoing intracranial EEG (iEEG) evaluation for epilepsy surgery in terms of seizure freedom, mood, and quality of life at St. Vincent's Hospital, Melbourne.

METHODS

Patients who underwent iEEG between 1999 and 2016 were identified. Patients were retrospectively assessed between 2014 and 2017 by specialist clinic record review and telephone survey with standardized validated questionnaires for: 1) seizure freedom using the Engel classification; 2) Mood using the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E); 3) Quality-of-life outcomes using the QOLIE-10 questionnaire. Summary statistics and univariate analysis were performed to investigate variables for significance.

RESULTS

Seventy one patients underwent iEEG surgery: 49 Subdural, 14 Depths, 8 Combination with 62/68 (91.9%) of those still alive, available at last follow-up by telephone survey or medical record review (median of 8.2 years). The estimated epileptogenic zone was 62% temporal and 38% extra-temporal. At last follow-up, 69.4% (43/62) were Engel Class I and 30.6% (19/62) were Engel Class II-IV. Further, a depressive episode (NDDI-E > 15)was observed in 34% (16/47), while a 'better quality of life' (QOLIE-10 score < 25) was noted in 74% (31/42). Quality of life (p < 0.001) but not mood (p = 0.24) was associated with seizure freedom.

SIGNIFICANCE

Long-term seizure freedom can be observed in patients undergoing complex epilepsy surgery with iEEG evaluation and is associated with good quality of life.

Psychometric properties of modified MOS social support survey 5-item (MSSS-5-item) among Iranian older adults

BACKGROUND

Social support is a key factor in public health. Since the precise evaluation of it is critical, the current study has been developed to evaluate the psychometric properties of the MOS-SSS questionnaire's abbreviated form (MSSS-5-item) among the Iranian older adults.

METHODS

This cross-sectional and methodological study was conducted on 420 community older adults (age ≥ 60) through random multi-stage sampling. The questionnaire was first translated into Persian through the Forward & Backward method based on WHO guidelines. Next, the validity of scales was investigated by calculating face validity, content validity, Known-group validity, explanatory factor analysis, and confirmatory factor analysis indices. The reliability of the questionnaire was calculated by internal consistency, test-retest, and absolute reliability. Moreover, the scalability of the questionnaire was checked through the Mokken scale analysis. The software packages SPSS version 22, AMOS version 22, and R (Mokken package) were employed to analyze the data.

RESULTS

the face validity was conducted using interviews with older adults and gathering the specialists' opinions. Then, the items were grammatically and lexically corrected accordingly. The CVI index of the overall scale was 0.94, and for every single item above 0.89. The results of the independent t-test showed that the current questionnaire well distinguished between the older adults who do and do not feel lonely (p < 0.001). Two components were recognized according to the explanatory factor analysis. They together explained 67.78% of the total variance of the questionnaire. The CFA showed that the two-factor model had acceptable fit indices. The questionnaire had desirable internal consistency (α = 0.78), stability (ICC = 0.98), and absolute reliability (SEM = 0.56, MDC = 1.57). Furthermore, the Mokken scale proved that MSSS-5-item was a strong scale (H = 0.51, se = 0.03).

CONCLUSION

The present study results showed that the MSSS-5-item questionnaire had suitable validity and reliability to be used among Iranian older adults.

Neuroticism in temporal lobe epilepsy is associated with altered limbic-frontal lobe resting-state functional connectivity

Neuroticism, a core personality trait characterized by a tendency towards experiencing negative affect, has been reported to be higher in people with temporal lobe epilepsy (TLE) compared with healthy individuals. Neuroticism is a known predictor of depression and anxiety, which also occur more frequently in people with TLE. The purpose of this study was to identify abnormalities in whole-brain resting-state functional connectivity in relation to neuroticism in people with TLE and to determine the degree of unique versus shared patterns of abnormal connectivity in relation to elevated symptoms of depression and anxiety. Ninety-three individuals with TLE (55 females) and 40 healthy controls (18 females) from the Epilepsy Connectome Project (ECP) completed measures of neuroticism, depression, and anxiety, which were all significantly higher in people with TLE compared with controls. Resting-state functional connectivity was compared between controls and groups with TLE with high and low neuroticism using analysis of variance (ANOVA) and t-test. In secondary analyses, the same analytics were performed using measures of depression and anxiety and the unique variance in resting-state connectivity associated with neuroticism independent of symptoms of depression and anxiety identified. Increased neuroticism was significantly associated with hyposynchrony between the right hippocampus and Brodmann area (BA) 9 (region of prefrontal cortex (PFC)) (p < 0.005), representing a unique relationship independent of symptoms of depression and anxiety. Hyposynchrony of connection between the right hippocampus and BA47 (anterior frontal operculum) was associated with high neuroticism and with higher depression and anxiety scores (p < 0.05), making it a shared abnormal connection for the three measures. In conclusion, increased neuroticism exhibits both unique and shared patterns of abnormal functional connectivity with depression and anxiety symptoms between regions of the mesial temporal and frontal lobe.

Correlates of depression and quality of life among patients with epilepsy in Nigeria

OBJECTIVES

To determine the prevalence of Major Depressive Disorders (MDD) and its relationship to Quality of life.

DESIGN

A cross-sectional observational study.

SETTING

Out-Patient Clinic of the Neuropsychiatric Hospital, Abeokuta, Nigeria.

SUBJECTS

Patients with diagnosis of Epilepsy with Electroencephalogram (EEG) confirmation.

OUTCOME MEASURES

Depression and Quality of life.

RESULTS

The prevalence of current MDD was 11.9 %, and patients having at least 1 seizure per week were 5 times more likely to develop MDD (OR = 5.104, p = 0.014). The mean (SD) QOLIE-31 scores was 77.98 (13.32), with presence of MDD (β = -11.101, p = 0.0001); having at least 1 seizure/week (β = -6.653, p = 0.037) being independent predictors.

CONCLUSION

Depression is a common comorbidity in patients with epilepsy and is associated with a lower quality of life.

Risk factors for depression in patients with epilepsy: A meta-analysis

BACKGROUND

Depression is common and associated with reduced quality of life (QoL) in people with epilepsy (PWE). Although multiple studies have investigated the relevant predictors, the results have been inconsistent. This meta-analysis aimed to investigate the risk factors that might increase the possibility of depression in this population.

METHODS

Medline, The Cochrane Library, Web of Science, and Embase were comprehensively searched for cross-sectional studies on the occurrence of depression in PWE. A random effects model was used to calculate the pooled hazard ratios (HRs) and 95% confidence intervals (95% CIs). Heterogeneity between the study results and the probability of publication bias were also assessed.

RESULTS

Fifty-one cross-sectional studies with sample sizes ranging from 36 to 1763 were included in this meta-analysis. The significant factors associated with an increased risk of depression were older age (odds ratio [OR]: 1.02, 95% CI: 1.00-1.04; p = 0.019), female gender (OR: 1.58, 95% CI: 1.30-1.93; p < 0.001), low education level (OR: 3.38, 95% CI: 2.86-4.00; p < 0.001), not being employed (OR: 1.61, 95% CI: 1.08-2.38; p = 0.019), poor antiepileptic drug (AED) adherence (OR: 2.84, 95% CI: 1.94-4.16; p < 0.001), polytherapy (OR: 2.25, 95% CI: 1.48-3.41; p < 0.001), stigma (OR: 2.22, 95% CI: 1.71-2.88; p < 0.001), and anxiety (OR: 2.21, 95% CI: 1.66-2.94; p < 0.001). A shorter epilepsy duration was significantly associated with a lower risk of depression (OR: 0.99, 95% CI: 0.99-0.99; p < 0.001), whereas marital status (OR: 1.07, 95% CI: 0.90-1.20; p = 0.684), economic level (OR: 1.01, 95% CI: 0.95-1.08; p = 0.684), age at seizure onset (OR: 0.99, 95% CI: 0.75-1.29; p = 0.912), and seizure control (OR: 1.03, 95% CI: 0.65-1.63; p = 0.900) did not increase the risk of depression.

CONCLUSION

This meta-analysis defined several factors related to an increased risk of depression in PWE and can contribute to better prevention and screening strategies for depression in this group. The mechanisms behind this comorbidity remain to be further investigated to determine individually appropriate and targeted interventions.

Whether the Presence of Depressions Increases Stigmatization of People with Epilepsy?

Introduction

Epilepsy is a disease that affects more than 50 million people worldwide. This most common chronic neurological disorder, which actually represents impairment of some brain structures, makes the patients suffering from epilepsy victims of environmental stigma, which, due to ignorance, is considered them to be mentally ill.

Aim

The aim of the study was to examine the demographic data of epilepsy patients, disease duration, frequency of seizures and type of therapy (mono/polytherapy), determine the existence of depressive symptomatology in patients with epilepsy and to examine predictive gender significance, degree of education, employment status, type of epileptic seizure on the presence of stigma.

Patients and methods

The sample consisted of 100 respondents, both sexes, treated in the Epilepsy Outpatient Clinic of the Clinic for Neurology of the Clinical Center of the University of Sarajevo, selected randomly. All respondents fulfilled the Mini Mental Status Test. Patients who met the required score (27 and more of a total of 30) performed a test to evaluate the possible presence of depressive affective disorder with Back's Depression Scale. They also responded to the questionnaire of the revised version of Epilepsy Stigma Scale.

Results

The mean age of the respondents was 37.46±11.9 years. Men are on average older 40.84±11.9 years, than women 34.69±11.2 in the tested sample, and the difference shown is statistically significant, p=0.009. The difference in the frequency of respondents by status of employment is statistically significant, χc²=50.4; p=0.0001. According to Beck's Depression Scale, a total of 15 respondents were without a stigma, a total of 51 respondents felt mild stigma, and 34 respondents felt high level of stigma, 18 of which (52.9%) with score ≤9, 2 (5.9%) score 10-15, 4 (11.8%) had a score of 16-19, 4 (11.8%) score of 20-29, while 6 (17.6%) had a score of ≥30. The degree of depression and the degree of stigma are in correlation, p=0.011. The time without epileptic seizures was approximately 6 (3-8) months for respondents without stigma, in respondents with mild stigma 4 (3-6) months and respondents with high stigma 6 (4-9) months. The mean time without epileptic seizures is statistically significantly different in relation to the degree of stigma, p=0.026.

Conclusion

The results of this study showed that poor control of epileptic seizures and the presence of depression had a significant predictive value for the development of the stigma. Therefore, in addition to establishing good control over epileptic manifestations, it is extremely important to pay attention to psychological changes, to raise awareness in the community, to continuously carry out education, in order to have the best outcomes in treatment of a patient with epilepsy.

Depressive Symptom Severity in Individuals With Epilepsy and Recent Health Complications

Identifying relationships between depression severity and clinical factors may help with appropriate recognition and management of neuropsychiatric conditions in persons with epilepsy (PWE). Demographic characteristics, epilepsy variables, and medical and psychiatric comorbidities were examined from a baseline randomized controlled trial sample of 120 PWE. Among demographic characteristics, only inability to work was significantly associated with depression severity (p = 0.05). Higher 30-day seizure frequency (p < 0.01) and lower quality of life (p < 0.0001) were associated with greater depression severity. Comorbid bipolar disorder (p = 0.02), panic disorder (p < 0.01), and obsessive-compulsive disorder (p < 0.01) were correlated with worse depression severity. The literature supports our findings of correlations between worse depression, seizure frequency, and lower quality of life. Less well studied is our finding of greater depression severity and selected psychiatric comorbidities in PWE.

Self-compassion and depression, anxiety, and resilience in adults with epilepsy

BACKGROUND

Research suggests that people with epilepsy (PWE) are more likely to experience depression and anxiety than the general population. Given the adversity associated with the condition, resilience may also be important. However, to date, resilience has been largely overlooked in the epilepsy literature. Self-compassion has been widely associated with improved psychological wellbeing and, to a lesser extent, resilience. However, the relationship between self-compassion and depression, anxiety, and resilience in PWE has not been examined.

OBJECTIVES

Using a quantitative cross-sectional survey design, the aim of the present study was to examine the extent to which self-compassion predicted depression, anxiety, and resilience when controlling for demographic and illness-related variables.

METHODS

Adults with epilepsy were invited to take part in a survey online or in epilepsy or neurology clinics. Two-hundred and seventy participants completed the survey, and data were analyzed using hierarchical multiple regression models.

RESULTS

In this sample of PWE, self-compassion significantly predicted lower depression and anxiety and higher resilience when other significant sociodemographic and illness-related variables had been taken into account.

CONCLUSIONS

The findings of the present study indicate that self-compassion could be an important factor in determining psychological outcomes for adults with epilepsy, and its role is worthy of further exploration to help improve psychological outcomes for PWE.

A cross-sectional comparative study of perceived stigma between patients with epilepsy and patients living with HIV/AIDS in Accra, Ghana

BACKGROUND

Health-related stigma is a great challenge to the treatment of diseases. In epilepsy like other conditions, it causes affected individuals to conceal their illness. In this study, we described stigma perceived by patients with epilepsy at the Korle Bu Teaching Hospital (KBTH), a tertiary referral facility, and the Accra Psychiatry Hospital in Ghana (APH). We then compared the perception of stigma in patients with epilepsy to stigma perceived by persons living with human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) (PLWHA), a chronic communicable disease stigmatized in Ghana.

METHODS

A total of 351 patients with epilepsy were recruited from both sites by systematic random sampling and interviewed. The Kilifi Stigma Scale for Epilepsy was used to determine individual patient's stigma score. Statistical analysis was done using multiple logistic regression analysis to control for the effect of measured independent variables that were significant on univariate analysis: age, gender, marital status, income, type of epilepsy, and the frequency of seizures, on the outcome variable. Comparative analysis of the mean stigma score in patients with epilepsy and persons living with HIV/AIDS was done using the Student's t-test and Mann-Whitney U test (Wilcoxon rank sum test).

RESULTS

The presence of perceived stigma using the Kilifi Stigma Score Estimation was 32.02% (62), 33.33% (49), and 28.88% (54) among respondents from KBTH, APH, and PLWHA respectively. Results from Wilcoxon rank sum test showed that the median stigma score between the three groups was significant; KBTH and APH (p-value; 0.0258), KBTH and PLWHA (p-value; 0.00001), and APH and PLWHA (p-value; 0.0000). Age (<40 years), seizure frequency, ethnic group (Ewe and Guan), and being divorced showed high odds for perceived stigma among KBTH patients with epilepsy. Having tertiary education led to lower odds for perceived stigma in epilepsy for APH patients with epilepsy.

CONCLUSION

This study showed that epilepsy is associated with a high stigma perception. The perceived stigma was greater than stigma in PLWHAs in Accra. Stigma was affected by unemployment, ethnicity (Ewe and Guan), and uncontrolled seizures. Increasing age reduced perceived stigma and the management of patients with epilepsy in a psychiatric facility might have impacted negatively on the perceived stigma.

Frequency and predictors of psychological distress after a diagnosis of epilepsy: A community-based study

OBJECTIVE

The objective of the study was to determine the frequency and predictors of psychological distress after a diagnosis of epilepsy.

METHODS

The Sydney Epilepsy Incidence Study to Measure Illness Consequences (SEISMIC) was a prospective, multicenter, community-based study of people of all ages with newly diagnosed epilepsy in Sydney, Australia. Analyses involved multivariate logistic regression and multinomial logit regression to identify predictors of psychological distress, assessed using the Hospital Anxiety and Depression Scale (HADS) and the Strengths and Difficulties Questionnaire (SDQ), as part of structured interviews.

RESULTS

Psychological distress occurred in 33% (95% confidence interval [CI] 26 to 40%) and 24% (95% CI 18 to 31%) of 180 adults at baseline and 12months, respectively, and 23% (95% CI 14 to 33%) of 77 children at both time points. Thirty adults and 7 children had distress at baseline who recovered at 12months, while 15 adults and 7 children had new onset of distress during this period. History of psychiatric or behavioral disorder (for adults, odds ratio [OR] 6.82, 95% CI 3.08 to 15.10; for children, OR 28.85, 95% CI 2.88 to 288.60) and higher psychosocial disability (adults, OR 1.17, 95% CI 1.07 to 1.27) or lower family functioning (children, OR 1.80, 95% CI 1.08 to 3.02) were associated with psychological distress (C statistics 0.80 and 0.78).

CONCLUSIONS

Psychological distress is common and fluctuates in frequency after a diagnosis of epilepsy. Those with premorbid psychological, psychosocial, and family problems are at high risk of this adverse outcome.

Psychiatric side effects and antiepileptic drugs: Observations from prospective audits

Psychiatric comorbidities are common in people with epilepsy. A retrospective study of characteristics associated with withdrawal due to psychiatric side effects was undertaken in patients with treated epilepsy participating in prospective audits with new antiepileptic drugs (AEDs). A total of 1058 treated patients with uncontrolled seizures (942 focal-onset seizures, 116 generalized genetic epilepsies [GGEs]) participated in eight prospective, observational audits from 1996 to 2014. These patients were prescribed adjunctive topiramate (n=170), levetiracetam (n=220), pregabalin (n=135), zonisamide (n=203), lacosamide (n=160), eslicarbazepine acetate (n=52), retigabine (n=64), or perampanel (n=54). Doses were titrated according to efficacy and tolerability to optimize zeizure outcomes and reduce side effects. Psychiatric comorbidities were recorded prior to and after the addition of each AED. At baseline, patients with focal-onset seizures (189 of 942; 20.1%) were statistically more likely to have psychiatric diagnoses compared to patients with GGEs (14 of 116, 12.1%; p=0.039). Following adjunctive AED treatment, neuropsychiatric adverse effects led to AED withdrawal in 1.9-16.7% of patients. Patients with a pre-treatment psychiatric history (22 of 209; 10.5%) were statistically more likely to discontinue their new AED due to psychiatric issues compared to patients with no previous psychiatric diagnosis (50 of 849; 5.9%; p=0.017). Patients receiving sodium channel blocking AEDs (4 of 212, 1.9%) were statistically less likely to develop intolerable psychiatric problems, compared to those on AEDs possessing other mechanisms of action (68 of 846, 8.0%; p=0.012). Depression was the commonest problem, leading to discontinuation of AEDs in 2.8% (n=30) patients. Aggression was statistically more common in men (11 of 527, 2.1%) compared to women (1 of 531, 0.2%; p=0.004). Patients with learning disability (12 of 122, 9.8%; p=0.0015) were statistically less likely to have psychiatric issues prior to adjunctive AED treatment compared to other patients (208 of 936, 22.2%), but there were no statistically significant differences once the new AEDs were added (8 of 122 patients with learning disability, 6.6%; 64 of 936 other patients, 6.8%). Awareness of these issues may assist clinicians in avoiding, identifying and treating psychiatric comorbidities in people with epilepsy.

Depression in epilepsy, migraine, and multiple sclerosis: Epidemiology and how to screen for it

Purpose of review

To provide an overview of the epidemiology of depression in chronic neurologic conditions that can affect individuals throughout the lifespan (epilepsy, migraine, multiple sclerosis [MS]) and examine depression screening tools for adults with these conditions.

Recent findings

Depression is common in neurologic conditions and can be associated with lower quality of life, higher health resource utilization, and poor adherence to treatment. It affects around 20%-30% of those with epilepsy, migraine, and MS, and evidence for a bidirectional association exists for each of these conditions. Depression screening tools generally perform well in neurologic conditions, but are not without limitations.

Summary

Depression is a major contributor to poor outcomes in epilepsy, migraine, and MS. Although psychiatric resources are scarce globally, this is no reason to ignore depression in neurologic conditions. Depression screening tools are available in neurology and should be considered in clinical practice.

Self and informant report ratings of psychopathology in genetic generalized epilepsy

The psychological sequelae of genetic generalized epilepsies (GGE) is of growing research interest, with up to a third of all adults with GGE experiencing significant psychiatric comorbidity according to a recent systematic review. A number of unexplored questions remain. Firstly, there is insufficient evidence to determine relative prevalence of psychopathology between GGE syndromes. Secondly, the degree to which self-report and informant-report questionnaires accord in adults with epilepsy is unknown. Finally, while epilepsy severity is one likely predictor of worse psychopathology in GGE, evidence regarding other possible contributing factors such as epilepsy duration and antiepileptic drugs (AEDs) has been equivocal. The potential impact of subclinical epileptiform discharges remains unexplored. Self-report psychopathology symptoms across six DSM-Oriented Subscales were prospectively measured in 60 adults with GGE, with informant-report provided for a subset of 47. We assessed the burden of symptoms from both self- and informant-report, and the relationship between clinical epilepsy variables and self-reported symptoms. Results showed elevated symptoms in almost half of the sample overall. Depression and anxiety were the most commonly reported types of symptoms. There was a trend towards greater symptoms endorsement by self-report, and relatively modest interrater agreement. Symptoms of ADHD were significantly positively associated with number of AEDs currently prescribed. Other psychopathology symptoms were not significantly predicted by epilepsy duration, seizure-free duration or total duration of epileptiform discharges over a 24-hour period. The high prevalence of psychological needs suggests that routine screening of psychopathology and provision of psychoeducation may be essential to improving patient care and outcomes. Further investigation is required to better understand predictive and causal factors for psychopathology in GGE.

Major depressive episode, cognition, and epilepsy

PURPOSE

In patients with epilepsy (PWE), relationships between depression, epilepsy characteristics, and cognitive aspects are complex. This study aimed to assess the occurrence of possible major depressive episode in PWE and to verify whether it is associated with the clinical aspects of the disease and cognition.

METHODS

Two hundred consecutive PWE with a mean age and standard deviation of 47.6 (±15.1) years were included in the study. We determined whether their Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) scores were associated with their clinical, cognitive, and QOLIE-31 aspects using a significance level of 5% (p<0.05).

RESULTS

Twenty-six patients (13%) had an NDDI-E score >15, suggestive of major depressive episode. Logistic regression showed that NDDI-E >15 was associated with seizure frequency (p=0.022) and worse performance in the category fluency test (p=0.003). An NDDI-E >15 was also correlated with lower quality of life (p<0.001).

CONCLUSION

The present findings suggest that possible major depressive episode is associated not only with epilepsy characteristics but also with cognitive aspects, such as category fluency, and quality of life.

Diagnosing and treating depression in epilepsy

At least one third of patients with active epilepsy suffer from significant impairment of their emotional well-being. A targeted examination for possible depression (irrespective of any social, financial or personal burdens) can identify patients who may benefit from medical attention and therapeutic support. Reliable screening instruments such as the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) are suitable for the timely identification of patients needing help. Neurologists should be capable of managing mild to moderate comorbid depression but referral to mental health specialists is mandatory in severe and difficult-to-treat depression, or if the patient is acutely suicidal. In terms of the therapeutic approach, it is essential first to optimize seizure control and minimize unwanted antiepileptic drug-related side effects. Psychotherapy for depression in epilepsy (including online self-treatment programs) is underutilized although it has proven effective in ten well-controlled trials. In contrast, the effectiveness of antidepressant drugs for depression in epilepsy is unknown. However, if modern antidepressants are used (e.g. SSRI, SNRI, NaSSA), concerns about an aggravation of seizures and or problematic interactions with antiepileptic drugs seem unwarranted. Epilepsy-related stress ("burden of epilepsy") explains depression in many patients but acute and temporary seizure-related states of depression or suicidality have also been reported. Limbic encephalitits may cause isolated mood alteration without any recognizable psychoetiological background indicating a possible role of neuroinflammation. This review will argue that, overall, a bio-psycho-social model best captures the currently available evidence relating to the etiology and treatment of depression as a comorbidity of epilepsy.