Design and validation of two measures to detect anxiety disorders in epilepsy: The Epilepsy Anxiety Survey Instrument and its brief counterpart

Memory compromise at extended delays in people with new-onset epilepsy

OBJECTIVE

Memory is one of the most sensitive markers of cognitive compromise in people with new-onset epilepsy. Nonetheless, around half of these cases score within the normal range on standard memory testing. Here we explore whether memory retention at a 1-week delay reveals otherwise undetected memory compromise in such individuals, and how it relates to subjective memory complaints and mood.

METHODS

Using a prospective design, 38 adults with new-onset epilepsy underwent baseline memory screening via telephone using an abbreviated Rey Auditory Verbal Learning Test (RAVLT). Psychological screening occurred via online questionnaires. One week later, without forewarning, participants completed three follow-up memory tasks. Of particular focus, we explored longer-term memory performances and forgetting trajectories in those individuals (n = 23) who demonstrated normal memory performances (scores >10th percentile) at baseline (30-min delay). Outcomes were compared to 32 healthy controls, matched for age, sex, and education.

RESULTS

As a group, people with epilepsy performed worse than controls on all memory measures, with 44 percent impaired at baseline testing. Of those unimpaired at baseline, the rate and volume of information loss over 1 week was significantly greater than for controls. Contextual memory performance at 1 week was also significantly poorer for people with epilepsy. At the individual level, the prevalence of impaired forgetting was not significantly different between patients and controls. Subjective memory complaints were not related to any objective tests but were strongly related to self-reported mood and anxiety symptoms.

SIGNIFICANCE

People with new-onset epilepsy show reduced memory at short and extended intervals. For those showing normal memory at baseline, information does appear to be forgotten more quickly than in healthy controls, though the effect is not large. The findings indicate that while extended delay memory testing is not essential in all new epilepsy cases, it could provide useful information for particular individuals.

PLAIN LANGUAGE STATEMENT

Memory problems are common in people with epilepsy shortly after seizure onset, however, many individuals still show normal memory performances on standard neuropsychological testing. Through testing memory at an extended timepoint (1 week), our study found that on average, these individuals showed a slightly quicker rate of forgetting over a 1-week period than people without a brain condition. Self-reported memory complaints in people with new epilepsy were unrelated to their actual memory skills on testing at short and long timepoints but were rather linked to lower mood and quality of life.

Cognitive behavioral interventions for depression and anxiety in adults with neurological disorders: a systematic review and meta-analysis

We examined the efficacy of cognitive and behavioral interventions for improving symptoms of depression and anxiety in adults with neurological disorders. A pre-registered systematic search of Cochrane Central Register of Controlled Trials, MEDLINE, PsycINFO, Embase, and Neurobite was performed from inception to May 2024. Randomized controlled trials (RCTs) which examined the efficacy of cognitive and behavioral interventions in treating depression and/or anxiety among adults with neurological disorders were included. Estimates were pooled using a random-effects meta-analysis. Subgroup analyses and meta-regression were performed on categorical and continuous moderators, respectively. Main outcomes were pre- and post-intervention depression and anxiety symptom scores, as reported using standardized measures. Fifty-four RCTs involving 5372 participants with 11 neurological disorders (including multiple sclerosis, epilepsy, stroke) were included. The overall effect of interventions yielded significant improvements in both depression (57 arms, Hedges' g = 0.45, 95% confidence interval [CI] 0.35-0.54) and anxiety symptoms (29 arms, g = 0.38, 95% CI 0.29-0.48), compared to controls. Efficacy was greater in studies which employed a minimum baseline symptom severity inclusion criterion for both outcomes, and greater in trials using inactive controls for depression only. There was also evidence of differential efficacy of interventions across the neurological disorder types and the outcome measure used. Risk of bias, intervention delivery mode, intervention tailoring for neurological disorders, sample size, and study year did not moderate effects. Cognitive and behavioral interventions yield small-to-moderate improvements in symptoms of both depression and anxiety in adults with a range of neurological disorders.

Fibromyalgia in patients with non-psychotic mental disorders: Prevalence, associated factors and validation of a brief screening instrument

BACKGROUND

Fibromyalgia (FM) is a chronic pain syndrome associated with significant distress and numerous unpleasant consequences. Mental health problems in people with FM have been reported in many studies. People with mental disorders are thought to be at higher risk of FM than the general population, but the prevalence has not been established.

OBJECTIVE

We aimed to investigate the prevalence of FM in a representative sample of inpatients with non-psychotic mental disorders. Additionally, we aimed to assess the psychometric properties of the Fibromyalgia Rapid Screening Tool (FiRST) in the Russian-speaking population of people with mental disorders.

METHODS

Consecutive inpatients admitted to the Moscow Research and Clinical Center for Neuropsychiatry for treatment of non-psychotic mental disorders were evaluated for FM by a neurologist and completed the FiRST, Beck Depression Inventory (BDI), and State and Trait Anxiety Inventory (STAI).

RESULTS

Of the 1168 patients evaluated 9.0% met the diagnostic criteria for FM. FM was associated with being female, having a diagnosis of unipolar depression, and having higher total scores on the BDI and STAI. The psychometric properties of the FiRST were good (McDonald's omega 0.79, corrected item-total correlation greater than 0.45). An optimal cut-off point with the highest Yuden's index (J = 0.75) was >3 (AUC of 0.89).

CONCLUSION

FM is a common comorbidity in people with non-psychotic mental disorders, associated with being female, having a diagnosis of unipolar depression, and having more severe anxiety and depression. The FiRST can be used for the FM screening with its cut-off >3 in people with non-psychotic mental disorders.

SIGNIFICANCE STATEMENT

It is the first study to determine the prevalence of FM in people with non-psychotic spectrum mental disorders. The study design included a consecutive sample in a real-life setting to avoid bias. In addition, we evaluated the psychometric properties of the FM screening instrument in a population of people with mental disorders and established the cut-off. The specificity of this subpopulation is explained by both the high prevalence of pain symptoms and the overlap of some psychiatric and FM symptoms.

User experience of a seizure risk forecasting app: A mixed methods investigation

OBJECTIVE

Over recent years, there has been a growing interest in exploring the utility of seizure risk forecasting, particularly how it could improve quality of life for people living with epilepsy. This study reports on user experiences and perspectives of a seizure risk forecaster app, as well as the potential impact on mood and adjustment to epilepsy.

METHODS

Active app users were asked to complete a survey (baseline and 3-month follow-up) to assess perspectives on the forecast feature as well as mood and adjustment. Post-hoc, nine neutral forecast users (neither agreed nor disagreed it was useful) completed semi-structured interviews, to gain further insight into their perspectives of epilepsy management and seizure forecasting. Non-parametric statistical tests and inductive thematic analyses were used to analyse the quantitative and qualitative data, respectively.

RESULTS

Surveys were completed by 111 users. Responders consisted of "app users" (n = 58), and "app and forecast users" (n = 53). Of the "app and forecast users", 40 % believed the forecast was accurate enough to be useful in monitoring for seizure risk, and 60 % adopted it for purposes like scheduling activities and helping mental state. Feeling more in control was the most common response to both high and low risk forecasted states. In-depth interviews revealed five broad themes, of which 'frustrations with lack of direction' (regarding their current epilepsy management approach), 'benefits of increased self-knowledge' and 'current and anticipated usefulness of forecasting' were the most common.

SIGNIFICANCE

Preliminary results suggest that seizure risk forecasting can be a useful tool for people with epilepsy to make lifestyle changes, such as scheduling daily events, and experience greater feelings of control. These improvements may be attributed, at least partly, to the improvements in self-knowledge experienced through forecast use.

Anticipatory anxiety of seizures: What is the best treatment?

Anxiety disorders affect roughly 25% of people with epilepsy (PWE), and are associated with a strong impairment of quality of life and a poorer stabilization of epilepsy. Anticipatory anxiety of seizure (AAS), defined by the persistent worry or fear to have another seizure, is highly frequent and associated with avoidant behavior. Unfortunately, AAS is often overlooked and untreated. Here, we present the case of a 35-year-old patient suffering from AAS secondary to focal epilepsy. We aimed to provide practical guidelines and tools for the screening and treatment of anxiety disorders in PWE. Regarding psychotropic medication, Sertraline or Citalopram might be good options for first-line treatment of AAS, since they are efficient against anxiety and well-tolerated in epilepsy.

Improving epilepsy diagnosis across the lifespan: approaches and innovations

Epilepsy diagnosis is often delayed or inaccurate, exposing people to ongoing seizures and their substantial consequences until effective treatment is initiated. Important factors contributing to this problem include delayed recognition of seizure symptoms by patients and eyewitnesses; cultural, geographical, and financial barriers to seeking health care; and missed or delayed diagnosis by health-care providers. Epilepsy diagnosis involves several steps. The first step is recognition of epileptic seizures; next is classification of epilepsy type and whether an epilepsy syndrome is present; finally, the underlying epilepsy-associated comorbidities and potential causes must be identified, which differ across the lifespan. Clinical history, elicited from patients and eyewitnesses, is a fundamental component of the diagnostic pathway. Recent technological advances, including smartphone videography and genetic testing, are increasingly used in routine practice. Innovations in technology, such as artificial intelligence, could provide new possibilities for directly and indirectly detecting epilepsy and might make valuable contributions to diagnostic algorithms in the future.

Comparative effectiveness of digital mental healthcare models for adults with epilepsy: A study protocol of a randomized controlled trial

OBJECTIVE

Mental health complaints are prevalent among people with epilepsy, yet there are major barriers that prevent access to psychological care, including high out-of-pocket costs and a lack of accessible specialized services. The purpose of the current study is to examine the comparative efficacy, acceptability, cost-effectiveness, and long-term outcomes of a digital psychological intervention when delivered under two models of care (i.e., guided vs. unguided) in supporting the mental health and functioning of adults with epilepsy.

METHOD

Approximately 375 participants across Australia will be enrolled. Eligible participants will have a confirmed diagnosis of epilepsy, experience difficulties with their emotional health, be at least 18 years of age, and live in Australia. Participants will be randomized (2:2:1) to receive the Wellbeing Neuro Course, a 10-week internet-delivered program, with (i.e., guided) or without guidance by a mental health clinician (i.e., unguided), or be allocated to a treatment-as-usual waiting-list control group. Participants will complete online questionnaires at pre-, post-treatment, and 3- and 12-month follow-up and consent to have their data linked to their medical records to capture healthcare system resource use and costs.

ANALYSIS

Primary outcome measures will be symptoms of depression and anxiety. A cost-utility analysis will be undertaken using the Australian healthcare system perspective and according to current economic evaluation guidelines. Resource use and costs to the healthcare system during the study period will be captured via data linkage to relevant administrative datasets in Australia.

SIGNIFICANCE

The results of this trial will provide important data concerning the relative outcomes of these different models of care and will inform the integration of digital psychological interventions translation into healthcare services.

ETHICS AND DISSEMINATION

The Human Research Ethics Committee of Macquarie University approved the proposed study (Reference No: 520231325151475). The results will be disseminated through peer-reviewed publication(s).

ANZCTR TRIAL REGISTRATION NUMBER

ACTRN12623001327673.

PLAIN LANGUAGE SUMMARY

This study seeks to find out if a 10-week online psychological treatment can improve the mental health and well-being of Australian adults with epilepsy. Around 375 participants will be randomly assigned to different groups: one will receive treatment with guidance from mental health clinician (guided group), one without guidance (unguided group), and one starting later (waiting control group). All participants will fill out the same outcome measures online. The main goal of this research is to compare these groups and assess how well the treatment works in improving mental health outcomes.

Maladaptive personality traits in patients with epilepsy and psychogenic non-epileptic seizures

OBJECTIVE

We aimed to evaluate the sociodemographic, clinical, and psychological characteristics associated with psychogenic non-epileptic seizures (PNES) in patients with epilepsy, with particular emphasis on the personality profile assessed from a dimensional perspective.

METHODS

The cohort study included 77 consecutive inpatients with active epilepsy aged 36-55 years; 52 (67.5%) were female. The presence of PNES was confirmed by video-EEG monitoring. All patients underwent the Mini-International Neuropsychiatric Interview to diagnose psychiatric disorders. All participants completed the Neurological Disorders Depression Inventory in Epilepsy, the Epilepsy Anxiety Survey Instrument - brief version, and the Personality Inventory for DSM-5 and ICD-11 Brief Form Plus Modified. Chi-square and Fisher's exact tests were used to compare categorical variables, and the Brunner-Munzel test was used for quantitative variables.

RESULTS

Twenty-four patients (31.2%) had both epilepsy and PNES. There were no significant differences in social, demographic or clinical characteristics, psychiatric diagnoses or depression severity. Compared to patients with epilepsy alone, patients with epilepsy and PNES had higher anxiety scores and more pronounced maladaptive personality traits such as disinhibition and psychoticism.

SIGNIFICANCE

The main novelty of our study is that using the recently proposed dimensional approach to personality disorders and an appropriate instrument we assessed all personality domains listed in two of the most widely used classifications of mental disorders (DSM-5 and ICD-11) in PWE with and without PNES. To our knowledge, this is the first study to demonstrate the association of the maladaptive traits of psychoticism and disinhibition with the development of PNES in PWE.

Cognitive and psychological dysfunction is present after a first seizure, prior to epilepsy diagnosis and treatment at a First Seizure Clinic

OBJECTIVE

Neuropsychological comorbidities found in chronic epilepsy have also been reported earlier in the disease course. However, recurrent seizures, antiseizure medication (ASM), and adjustment to a chronic diagnosis remain potential confounds of this literature. It thus remains unclear whether these comorbidities are primary or secondary attributes of epilepsy. To capture individuals as close to disease onset as possible, we studied the cognitive and psychological functioning in adults after their first seizure, yet prior to epilepsy diagnosis and treatment.

METHODS

Using a telehealth-based prospective design, we screened cognition, mood, and anxiety symptoms in adult patients referred to a First Seizure Clinic (FSC), who were over 18 years, English-speaking and not taking ASM. We screened cognition via telephone, and psychological symptoms via online questionnaires, all prior to the patients' diagnostic evaluation. Data were collected on 32 individuals subsequently diagnosed with epilepsy at the FSC, and 30 healthy controls from the community, who were matched to the epilepsy group for age, gender, and education.

RESULTS

A multivariate analysis of variance revealed that the groups differed significantly on combined cognitive measures with a large effect size (F[1,56] = 5.75, p < 0.001, η2 = 0.45). Post-hoc analyses showed that performances on measures of verbal memory, working memory, and executive functions were significantly worse for the newly diagnosed epilepsy group than controls. The epilepsy group also exhibited higher rates of clinically significant depressive and anxiety symptoms.

SIGNIFICANCE

Cognitive and psychological dysfunction is prevalent in people with epilepsy as early as the first seizure event, before the influence of diagnosis, ASM and recurrent seizures. Their neuropsychological profile parallels that seen in chronic epilepsy, showing that this dysfunction is already present at the very onset of the disease. The current study demonstrates the viability of telehealth neuropsychological screening for all new epilepsy cases.

PLAIN LANGUAGE STATEMENT

The results of this study show, using telephone-based cognitive assessment and online questionnaires, that people with newly diagnosed epilepsy can experience problems with their thinking and memory skills, and low mood and anxiety, as early as after their first seizure. These issues are apparent at the very beginning of the disease, before an epilepsy diagnosis is made and before antiseizure medication is commenced, which suggests that they are due to the underlying brain disturbance, rather than the secondary effects of seizures, treatment, or lifestyle changes. Telehealth-screening of thinking skills and mental health for all new epilepsy cases is recommended to promote early management of such problems.

Construction of machine learning models for recognizing comorbid anxiety in epilepsy patients based on their clinical and quantitative EEG features

BACKGROUND

This study aimed to construct prediction models for the recognizing of anxiety disorders (AD) in patients with epilepsy (PWEs) by combining clinical features with quantitative electroencephalogram (qEEG) features and using machine learning (ML).

METHODS

Nineteen clinical features and 20-min resting-state EEG were collected from 71 PWEs comorbid with AD and another 60 PWEs without AD who met the inclusion-exclusion criteria of this study. The EEG were preprocessed and 684 Phase Locking Value (PLV) and 76 Lempel-Ziv Complexity (LZC) features on four bands were extracted. The Fisher score method was used to rank all the derived features. We constructed four models for recognizing AD in PWEs, whether PWEs based on different combinations of features using eXtreme gradient boosting (XGboost) and evaluated these models using the five-fold cross-validation method.

RESULTS

The prediction model constructed by combining the clinical, PLV, and LZC features showed the best performance, with an accuracy of 96.18%, precision of 94.29%, sensitivity of 98.33%, F1-score of 96.06%, and Area Under the Curve (AUC) of 0.96. The Fisher score ranking results displayed that the top ten features were depression, educational attainment, α_P3LZC, α_T6-PzPLV, α_F7LZC, β_Fp2-O1PLV, θ_T4-CzPLV, θ_F7-PzPLV, α_Fp2LZC, and θ_T4-PzPLV.

CONCLUSIONS

The model, constructed by combining the clinical and qEEG features PLV and LZC, efficiently identified the presence of AD comorbidity in PWEs and might have the potential to complement the clinical diagnosis. Our findings suggest that LZC features in the α band and PLV features in Fp2-O1 may be potential biomarkers for diagnosing AD in PWEs.

What is the role of screening instruments in the management of psychiatric comorbidities in epilepsy? Tools and practical tips for the most common comorbidities: Depression and anxiety

Depression and anxiety are the most common psychiatric comorbidities in epilepsy and are known to increase healthcare utilization, the risk of refractory epilepsy, and anti-seizure medication intolerability. Despite this, depression and anxiety continue to be underrecognized and undertreated in people with epilepsy (PWE). Several barriers to the identification of depression and anxiety in PWE exist, including reliance on unstructured interviews rather than standardized, validated instruments. Moreover, there is a dearth of behavioral health providers to manage these comorbidities once identified. The use of validated screening instruments in epilepsy clinics can assist with both the identification of psychiatric symptoms and monitoring of treatment response by the epilepsy clinician for PWE with comorbid depression and/or anxiety. While screening instruments can identify psychiatric symptoms occurring within a specified time, they are not definitively diagnostic. Screeners can be time efficient tools to identify patients requiring further evaluation for diagnostic confirmation. This article reviews recent literature on the utility of depression and anxiety screening instruments in epilepsy care, including commonly used screening instruments, and provides solutions for potential barriers to clinical implementation. Validated depression and anxiety screening instruments can increase identification of depression and anxiety and guide epilepsy clinician management of these comorbidities which has the potential to positively impact patient care.

Panic disorder in epilepsy

A 51-year-old woman showed structural epilepsy following an atypical, nontraumatic intracranial hemorrhage in the right frontal area. Despite successful seizure control with lamotrigine, she developed severe morning anxiety and panic attacks, leading to agoraphobia, social withdrawal, and psychogenic nonepileptic seizures. Neuropsychiatric and psychological assessments confirmed an anxiety disorder with no significant symptoms of depression. The patient received various psychopharmacological treatments with limited success. This case report illustrates that managing panic disorder in patients with structural epilepsy requires a comprehensive treatment approach that includes pharmacotherapy and psychotherapy. Differential diagnosis and accurate treatment are crucial because of the symptom overlap between panic attacks and peri-ictal fear. Screenings instruments such as the Panic and Agoraphobia Scale (PAS) can aid in assessing anxiety-related symptoms. First-line pharmacotherapy with selective serotonin reuptake inhibitors, especially sertraline, or venlafaxine can effectively reduce panic attacks and can be recommended in patients with epilepsy. Psychotherapy, particularly cognitive-behavioral therapy, is the treatment of choice. Referral to a psychiatrist is indicated when symptoms are severe or refractory to treatment.

Functions of nonsuicidal self-injurious behavior in Russian patients with suicidal ideation

Introduction

Nonsuicidal self-injurious behavior (NSSI) is an important risk factor for future suicide attempts. Previous research has identified a number of motivations for engaging in NSSI. The aim of the present study was to translate the Inventory of Statements About Self-Injury (ISAS) into Russian and then to evaluate its psychometric properties in a sample of patients with non-psychotic mental disorders and suicidal ideation (SI). Other aims were to determine the prevalence of specific NSSI functions in this population and to assess the relationship between different NSSI functions and clinical and psychological parameters.

Participants and methods

The study was conducted at the largest center for non-psychotic mental disorders in Moscow. All admitted patients with both NSSI and SI completed the Russian version of the ISAS-II, underwent the Self-Injurious Thoughts and Behaviors Interview, and completed the Personality Inventory for DSM-5 and ICD-11 Brief Form Plus-Modified, the Beck Depression Inventory, and the State-Trait Anxiety Inventory.

Results

A total of 614 patients were included in the study. 543 (88.4%) patients were assigned female at birth with a mean age of 24.86 (7.86) years. Factor analysis supported a two-factor structure (Intrapersonal and Interpersonal) of the Russian version of the ISAS-II, but in contrast to the original study, the "Marking distress" function loaded more strongly on the Interpersonal factor. In people with non-psychotic mental disorders and SI, Interpersonal functions of NSSI are associated with more severe depressive symptoms (r = 0.34), 12 months history of NSSI (r = 0.30), higher number of NSSI methods (r = 0.41), likelihood of future NSSI (r = 0.35) and psychoticism (r = 0.32).

Conclusion

The Russian version of the ISAS-II is a valid and reliable instrument for assessing NSSI functions in a population at high risk for suicide attempts. Interpersonal functions are associated with a number of unpleasant clinical and psychological features.

Listening to anxiety in persons with epilepsy. Development of an integrative assessment model based on qualitative interviews

OBJECTIVE

The differentiation and assessment of anxiety in persons with epilepsy is the subject of current research. There is no consensus on which forms of anxiety are epilepsy-specific, what pathological significance they have, and how they should be conceptually systematized. The aim of this study was to detect formal landmarks that organize and further distinguish the clinical multitude of epilepsy-related anxiety, thereby establishing a basis on which an integrative assessment of epilepsy-specific fears can be developed.

METHOD

Twenty-six patients with epilepsy-related fears were recruited for qualitative interviews at the Epilepsy Center of Freiburg in Germany. Prevalent types of anxiety included both periictal and interictal anxiety. Patients reported how living with epilepsy is associated with anxiety and to what extent. After an open interview, semi-structured questions were asked concerning epilepsy-specific anxiety, referring to established concepts and items. The contents of the interviews relating to anxiety were transcribed.

RESULTS

The reported fears associated with epilepsy reflect the individual "pathography" of each patient. The potentially anxiety-inducing events within this pathography include the first seizure(s), especially in cases involving the amygdalae; the process of diagnostic procedures; therapy, including side effects of antiseizure medication, surgery as a therapeutic option, or a difficult physician-patient relationship; and the further course of the disease, including the fear of disease progression with brain damage, cognitive deterioration, or professional and social disintegration. The integrative assessment model derived from the pathography of the interviewed patients thus reflects the dynamics and quality of epilepsy-specific fears, especially in relation to the healthcare system, without instantly pathologizing them. It highlights that anxiety, to a variable degree, is perceived as an adequate and comprehensible emotion and might be a problem long before the diagnosis is made in the case of ictal fear. Furthermore, anxiety symptoms may (re-)emerge, consolidate, modulate, diminish, or even aggravate during the course of the disease. The integrative assessment model maps crucial events inherent to the healthcare system that may become relevant as objects of prevention, intervention, and therapy.

CONCLUSION

The integrative assessment model can serve as a heuristic framework from which an integrative self-report questionnaire of epilepsy-specific anxiety might be designed. On the one hand, this would help to better understand the interrelation between epilepsy and anxiety in terms of their temporal occurrence and interdependence scientifically. On the other hand, it would allow for the enhancement of individual preventive and therapeutic measures for affected patients.

Association of symptoms of psychiatric disease and electroencephalographic patterns in idiopathic generalized epilepsy

OBJECTIVE

Idiopathic generalized epilepsies (IGE) are genetic epilepsies with alterations of thalamo-frontocortical circuits that play a major role in seizure generation and propagation. Psychiatric diseases and drug resistance are strongly associated, but it remains unknown if they are symptoms of the same pathophysiological process. Hypothesizing that the same network alterations are associated with the frequency of epileptic discharges (ED) and psychiatric symptoms, we here tested the association of self-reported psychiatric symptoms and IGE severity estimated by electroencephalographic (EEG) biomarkers.

METHODS

Idiopathic generalized epilepsies patients were asked to fill out four validated psychiatric screening tools assessing symptoms of personality disorders (Standard Assessment of Personality- Abbreviated Scale), depression (Major Depression Inventory), impulsiveness (Barratt Impulsiveness Scale), and anxiety (brief Epilepsy Anxiety Survey Instrument). Blinded to results and clinical data on the patients, we analyzed the patients' EEGs, assessed, and quantified ED. The number and duration of ED divided by the duration of the EEG served as a proxy for the severity of IGE that was correlated with the results of the psychiatric screening.

RESULTS

Paired data from 64 patients were available for analysis. The duration of EDs per minute EEG was inversely associated with the time since the last seizure. The number of patients with generalized polyspike trains (n = 2), generalized paroxysmal fast activity (n = 3), and prolonged epileptiform discharges (n = 10) were too low for statistically meaningful analyses. Self-reported symptoms of depression, personality disorder, and impulsivity were not associated with EDs. In contrast, the duration of EDs per minute EEG was associated with self-reported symptoms of anxiety in univariate analyses, not significant, however, following adjustment for time since the last seizure in regression models.

SIGNIFICANCE

Self-reported symptoms of psychiatric diseases were not strongly associated with EDs as the best available quantifiable biomarker of IGE severity. As expected, the duration of EDs per minute and anxiety was inversely associated with time since the last seizure. Our data argue against a direct link between the frequency of EDs - as an objective proxy of IGE severity - and psychiatric symptoms.

Screening for anxiety, depression and suicidality by epilepsy specialists in adult services in Scotland

OBJECTIVE

Clinical guidelines recommend screening people with epilepsy (PWE) regularly for mental distress, but it is unclear how guidelines are implemented. We surveyed epilepsy specialists in adult Scottish services to determine approaches used to screen for anxiety, depression, and suicidality; the perceived difficulty of screening; factors associated with intention to screen; and treatment decisions made following positive screens.

METHODS

An anonymous email-based questionnaire survey of epilepsy nurses and epilepsy neurology specialists (n = 38) was conducted.

RESULTS

Two in every three specialists used a systematic screening approach; a third did not. Clinical interview was employed more often than standardized questionnaire. Clinicians reported positive attitudes towards screening but found screening difficult to implement. Intention to screen was associated with favorable attitude, perceived control, and social norm. Pharmacological and non-pharmacological interventions were proposed equally often for those screening positive for anxiety or depression.

CONCLUSION

Routine screening for mental distress is carried out in Scottish epilepsy treatment settings but is not universal. Attention should be paid to clinician factors associated with screening, such as intention to screen and resulting treatment decisions. These factors are potentially modifiable, offering a means of closing the gap between guideline recommendations and clinical practice.

Fear of sleep in people with epilepsy

More than one third of people with epilepsy (PWE) report experiencing insomnia. This is highly concerning given that sleep loss both triggers and exacerbates seizures. It is therefore paramount that we understand the underlying mechanisms of insomnia in PWE. Nevertheless, research in this area remains limited, with little understanding of the emerging or maintaining factors of insomnia in PWE. Therefore, the current study sought to explore fear of sleep as a novel explanation for the increased rate of insomnia in PWE, and whether fear of sleep was related to post-seizure trauma. We recruited 184 PWE and 197 healthy controls via social media and collected data using a series of online questionnaires. We found that fear of sleep did not significantly differ between the epilepsy and control group. In the epilepsy group, fear of sleep seemed to be largely driven by trauma, especially post-seizure trauma but also non-seizure related trauma, along with anxiety and higher seizure frequency. Fear of sleep in the control group was also largely driven by trauma, but also anxiety and depression. Finally, we found more severe and prevalent insomnia in PWE relative to controls, and in both groups, fear of sleep was the most significant contributor to insomnia. Our novel findings carry important clinical implications. First, they point to the central role of trauma in fear of sleep not only in PWE but also in the general population. Our findings also indicate that fear of sleep is an important maintaining factor of insomnia. Ultimately, these results suggest that all individuals with insomnia may benefit from insomnia interventions targeted at trauma, depression, anxiety, and fear of sleep. PWE are likely to benefit from additional treatment components for seizure-related trauma and seizure management. To better understand the reliability and generalisability of our novel findings, future research should further assess fear of sleep and its role in maintaining insomnia in the epilepsy population.

Afraid to go out: Poor quality of life with phobic anxiety in a large cross-sectional adult epilepsy center sample

PURPOSE

People with epilepsy (PWE) have unmet healthcare needs, especially in the context of mental health. Although the current literature has established increased incidence of anxiety and depression in PWE and their contribution to poor quality of life, little is known regarding the presence and impact of specific phobia and agoraphobia. Our aim was to assess factors associated with high phobic/agoraphobic symptoms in a large, single tertiary epilepsy center sample, and to assess their impact on quality of life.

METHODS

In a diverse sample of 420 adults with epilepsy, cross-sectional association of demographic, epilepsy and cognitive factors with high phobic symptoms were assessed using multiple logistic regression. Symptoms were measured with the SCL-90R validated self-report subscale (T-score ≥ 60 considered high phobic symptom group). Multiple logistic regression modeling was used to assess for independent association of demographic and clinical variables with presence of high phobic symptoms, and multiple linear regression modeling was used to evaluate for independent cross-sectional associations with epilepsy-specific quality of life (QOLIE-89).

RESULTS

Lower education (adjusted OR 3.38), non-White race/ethnicity (adjusted OR 2.34), and generalized anxiety symptoms (adjusted OR 1.91) were independently associated with high phobic/agoraphobic symptoms, all p < 0.005. Phobic/agoraphobic symptoms were independently associated with poor quality of life as were depression symptoms, older age, and non-White race/ethnicity. Generalized anxiety did not demonstrate a significant independent association with quality of life in the multivariable model.

CONCLUSION

In this study sample, phobic/agoraphobic symptoms were independently associated with poor quality of life. Clinicians should consider using more global symptom screening instruments with particular attention to susceptible populations, as these impactful symptoms may be overlooked using generalized-anxiety focused screening paradigms.

Virtual Reality Therapy for People With Epilepsy and Related Anxiety: Protocol for a 3-Phase Pilot Clinical Trial

BACKGROUND

Anxiety is one of the most common psychiatric comorbidities in people with epilepsy and often involves fears specifically related to the condition, such as anxiety related to the fear of having another seizure. These epilepsy- or seizure-related fears have been reported as being more disabling than the seizures themselves and significantly impact quality of life. Although research has suggested that exposure therapy (ET) is helpful in decreasing anxiety in people with epilepsy, no research to our knowledge has been conducted on ET in people with epilepsy using virtual reality (VR). The use of novel technologies such as an immersive VR head-mounted display for ET in this population offers several benefits. Indeed, using VR can increase accessibility for people with epilepsy with transportation barriers (eg, those who live outside urban centers or who have a suspended driver's license owing to their condition), among other advantages. In the present research protocol, we describe the design of an innovative VR-ET program administered in the home that focuses on decreasing anxiety in people with epilepsy, specifically anxiety related to their epilepsy or seizures.

OBJECTIVE

Our primary objective is to examine the feasibility of the study protocol and proposed treatment as well as identify suggestions for improvement when designing subsequent larger clinical trials. Our secondary objective is to evaluate whether VR-ET is effective in decreasing anxiety in a pilot study. We hypothesize that levels of anxiety in people with epilepsy will decrease from using VR-ET.

METHODS

This mixed methods study comprises 3 phases. Phase 1 involves engaging with those with lived experience through a web-based questionnaire to validate assumptions about anxiety in people with epilepsy. Phase 2 involves filming videos using a 360° camera for the VR-ET intervention (likely consisting of 3 sets of scenes, each with 3 intensity levels) based on the epilepsy- and seizure-related fears most commonly reported in the phase 1 questionnaire. Finally, phase 3 involves evaluating the at-home VR-ET intervention and study methods using a series of validated scales, as well as semistructured interviews.

RESULTS

This pilot study was funded in November 2021. Data collection for phase 1 was completed as of August 7, 2022, and had a final sample of 18 participants.

CONCLUSIONS

Our findings will add to the limited body of knowledge on anxiety in people with epilepsy and the use of VR in this population. We anticipate that the insights gained from this study will lay the foundation for a novel and accessible VR intervention for this underrecognized and undertreated comorbidity in people with epilepsy.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05296057; https://clinicaltrials.gov/ct2/show/NCT05296057.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/41523.

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

Background

Epilepsy is one of the most frequent and serious brain disorders. The nature of the disorder and the unpredictability of seizures usually puts patients in a state of apprehension and anticipation, which creates a continuous condition of anxiety. COVID-19 pandemic has created a state of generalized anxiety all over the world. It is expected that patients with epilepsy (PWE) will suffer from more anxiety during the pandemic. This cross-sectional study was applied on 290 PWE. Data were collected by personal interview with each patient using GAD-7 scale for diagnosing anxiety and assessing its severity. We aimed to assess the prevalence of anxiety and to assess its risk factors in PWE during COVID-19 pandemic.

Results

We found that 52.4% of PWE suffered from anxiety. Not working, low financial status, fear of infection and death by COVID-19, fear of job loss, had job changes during pandemic, increased seizures rate during pandemic, increased ER visits, and lack of drug adherence during the pandemic, are significantly associated with increased risk of anxiety.

Conclusions

COVID-19 pandemic has a serious effect on the psychological and the physical wellbeing of PWE. There was an increased rate of anxiety during 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.

German translation and validation of the brief Epilepsy Anxiety Survey Instrument (brEASI)

BACKGROUND

Anxiety disorders remain undiagnosed in routine clinical practice in up to two thirds of affected patients with epilepsy despite their significant impact on medical and psychosocial outcomes. The study objective was to translate and validate the German 8-item "brief Epilepsy Anxiety Survey Instrument" (brEASI) to facilitate effective screening for the presence of anxiety disorders in German-speaking patients.

METHODS

After expert translation into German, the brEASI was completed by consecutive adult inpatients with epilepsy hospitalized for seizures at an academic reference epilepsy center. Patients also completed the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), the Generalized Anxiety Disorder scale (GAD-7) for external validity, and underwent a standardized interview (Mini-DIPS-OA) as a gold standard to determine the presence of an ICD-10 anxiety disorder (generalized anxiety disorder (GAD), panic disorder, agoraphobia, and social phobia). Receiver operating characteristics (ROC) were calculated to determine the diagnostic accuracy of the brEASI, including the associated area under the curve (AUC) statistics to determine the potential of the brEASI to identify ICD-10 anxiety disorders diagnosed by interview. For comparative purposes, these analyses were also conducted for the GAD-7.

RESULTS

Of 80 recruited adult inpatients with epilepsy, 18 (23 %) were found to have a current anxiety disorder through standardized interview. In this study, both brEASI and GAD-7 showed a better diagnostic performance at a cutoff of >5 than at the previously reported cutoff values of >6 and >9, respectively. The AUC of the German brEASI was outstanding (AUC = 0.90, 95 % confidence interval (CI) = 0.82-0.96) for detecting all anxiety disorders and excellent for detecting non-GAD disorders (AUC = 0.85, CI = 0.76-0.92) at a cutoff of >5. At this optimal cutoff of >5 the brEASI demonstrated better sensitivity and specificity (89 % and 84 %) for identifying anxiety disorders than the GAD-7 (83 % and 74 %). The final German version of the brEASI is free to download at https://www.v-neuro.de/veroeffentlichungen/.

CONCLUSION

The German version of the brEASI represents a valid and reliable epilepsy-specific anxiety screening instrument. A positive screening result should be followed by further diagnostic procedures. Appropriate therapeutic steps should be initiated if the presence of an anxiety disorder or other psychiatric disorders is confirmed.

Behavioral health screening in pediatric epilepsy: Which measures commonly used in the United States are 'good enough'?

PURPOSE

To improve evidence-based implementation of behavioral health screening measures in pediatric epilepsy care, guidance is needed in the selection and interpretation of evidence-based screening measures. Therefore, the goals of this project were to (1) evaluate the clinical utility and psychometric properties of screening instruments frequently used in the United States (US) for anxiety, depression, and behavior problems in youth with epilepsy (YWE), and (2) provide guidance around selection and interpretation of these behavioral health screening measures.

METHOD

The critique was conducted in three phases: (1) identification of articles based on search criteria; (2) full review of articles for eligibility assessment; (3) evaluation of screening measures and organization into Tiers. Nine behavioral health measures frequently used to screen for anxiety, depression, and disruptive behaviors in the US were selected for evaluation. PubMed, CINAHL, Medline, and APA databases were searched using the following search terms: [target area] + [screening measure] + epilepsy + children [youth], [adolescents]. Inclusion/exclusion criteria for articles were as follows: (1) focused on YWE, (2) written in English, and (3) conducted in the US. Once articles were selected, Hunsley and Mash's criteria were used to evaluate and categorize the screening measures' psychometric properties, which have clear relevance to clinical practice. Measures were also classified into three tiers by the level of validation according to established evidence-based criteria.

RESULTS

Forty-one unique papers were identified through the literature search and assessed as eligible. Evaluation of screening measures revealed only two psychometrically sound measures that met criteria for Tier 1, the NDDI-E-Y and the Pediatric NeuroQoL-Depression, both depression screening measures. Several additional depression screening measures met criteria for Tier 2 (CDI-2, BASC-2-Depression Scale, and CBCL Withdrawn/Depressed Scale). Anxiety screening measures have not been validated in pediatric epilepsy and thus only met the criteria for Tier 2 (BASC-2 Anxiety Scale, CBCL DSM-IV Oriented Anxiety Problems Scale, MASC). Similarly for disruptive behaviors, two measures met Tier 2 criteria (BASC-2 Externalizing Problems Index, CBCL Externalizing Problems Index).

CONCLUSION

Strides have been made in the validation of behavioral health screening measures for YWE; however, continued research in this area is necessary to validate existing psychometrically sound measures and to develop and evaluate epilepsy-specific measures in the pediatric epilepsy population.

Not always that EASI: Validating the Russian version of the epilepsy anxiety survey instrument and its brief counterpart

OBJECTIVE

To develop a Russian version of The Epilepsy Anxiety Survey Instrument (EASI) and assess its psychometric properties in a Russian sample of patients with epilepsy (PWE). To compare the brief version of EASI with the General Anxiety Disorder-7 (GAD-7) - the most common tool for a rapid anxiety screening.

METHODS

The study sample consisted of 181 consecutive Russian-speaking PWE. The Mini-International Neuropsychiatric Interview was used as a gold standard for diagnosing anxiety disorders. All patients completed the set of questionnaires - the Russian version of the GAD-7, The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and the EASI. Internal reliability of the EASI and brEASI, convergent and divergent validity of the brEASI with the GAD-7 and the NDDI-E, and factor structure assessment were performed.

RESULTS

Among 33.7% of patients with epilepsy diagnosed with any anxiety disorder, 16% had panic disorder, 10.5% had agoraphobia, 8.3% had social anxiety disorder, 21.0% had generalized anxiety disorder, and 13.3% had several comorbid anxiety disorders. The EASI factor structure differed from the original, revealing an additional factor with two items. Nevertheless, the brief version (brEASI) showed excellent screening properties - the AUC to detect any anxiety disorder was 0.916 with the optimal cutoff point > 7 points.

CONCLUSION

The brEASI performed better than the GAD-7 in our sample and, therefore, may be considered a first-line screening tool for anxiety disorders in PWE.

Epilepsy-Specific Anxiety: A Potential Clue to the Seizure Onset Zone

Anticipatory Anxiety of Seizures is Associated With Ictal Emotional Distress and Amygdala Onset Seizures

Tarrada A, Aron O, Vignal JP, Ertan D, Maillard L, Hingray C. Epilepsia. 2022;63(5):1130-1140. doi:10.1111/epi.17215.

Objective:

Anxiety disorders are a frequent psychiatric condition in patients with epilepsy. Anticipatory anxiety of seizures (AAS) is described as a daily persistent fear or excessive worry of having a seizure. AAS seems to be related to “subjective ictal anxiety” reported by patients. The current study aimed to assess the association between objective ictal features and the presence of AAS.

Methods:

Ninety-one patients with drug-resistant focal epilepsy underwent a standardized psychiatric assessment, specific for epilepsy, and presurgical long-term video-electroencephalography (EEG) or stereo-EEG (SEEG). We compared seizure semiology and epilepsy features of patients with AAS (n = 41) to those of patients without AAS (n = 50). We analyzed emotional and motor behavior ictal signs as well as ictal consciousness. We further assessed amygdala ictal involvement in seizures recorded with SEEG (n = 28).

Results:

AAS was significantly associated with the presence of ictal emotional distress; negative emotional behavior (P < .01) and negative emotion were explicitly reported to the examiner during recording (P = .015), regardless of the ictal level of consciousness. Among the patients recorded with SEEG, we found a significant involvement of amygdala within the seizure onset zone (P < .01) for patients with AAS.

Significance:

Higher risk of developing AAS is associated with seizures expressing negative emotional symptoms, independently of ictal consciousness level. Persistent interictal fear of seizures might be viewed as the consequence of a reinforcement of the emotional networks secondary to amygdala involvement in seizures of temporal origin. Physicians should screen for AAS not only to assess the impact of epilepsy on daily life, but also as an interictal biomarker of ictal semiology and emotional network involvement at seizure onset.

Assessment of Anxiety in Patients With Epilepsy: A Literature Review

Objective

Approximately 20% of people with epilepsy (PWE) suffer from anxiety. These fears are quite diverse and may manifest periictally or interictally, be part of the seizure's semiology, or an expression of reactive psychological distress from seizures themselves. Our review addresses the question of what screening tools are used in clinical care and epileptological research to capture the complexity of epilepsy-specific anxieties.

Method

On 2021/11/11, we entered a search string in PubMed that covered our research interest as completely as possible. We also screened the bibliographies of our findings and followed PubMed's recommendations. From the assessments we found in the included studies, we extracted domains that represent the range of manifestations of anxiety, in order to compare the tools and to discuss to what extent they are suitable for assessing epilepsy-specific anxieties.

Results

We screened 1,621 abstracts. In total, we identified 24 different anxiety assessments. In addition to the psychiatric assessments in use, we found 7 tools that were designed to assess epilepsy-specific anxieties. The latter focus on different aspects of epilepsy-specific anxieties. In some cases, the conceptual frameworks are not sufficiently transparent or divergent.

Conclusion

Because a diagnosis of epilepsy can result in, or seizures may appear as, anxiety, it is important to better understand this psychological burden and address it therapeutically, if necessary. There is a need for screening tools that integrate specific points of a variety of assessments, so as to cover the broad range of epilepsy-specific fears. None of the assessments we found meets this integrative perspective. At the same time, the appropriate design of such a required tool presupposes a conceptual framework of what should be considered as epilepsy-specific anxiety.

Neuropsychiatric and Cognitive Comorbidities in Epilepsy

PURPOSE OF REVIEW

This article discusses psychiatric and cognitive comorbidities of epilepsy over the lifespan and illustrates opportunities to improve the quality of care of children and adults with epilepsy.

RECENT FINDINGS

One in 3 people with epilepsy have a lifetime history of psychiatric disorders, and they represent an important prognostic marker of epilepsy. Contributors are diverse and display a complex relationship. Cognitive comorbidities are also common among those living with epilepsy and are increasingly recognized as a reflection of changes to underlying brain networks. Among the cognitive comorbidities, intellectual disability and dementia are common and can complicate the diagnostic process when cognitive and/or behavioral features resemble seizures.

SUMMARY

Comorbidities require consideration from the first point of contact with a patient because they can determine the presentation of symptoms, responsiveness to treatment, and the patient's day-to-day functioning and quality of life. In epilepsy, psychiatric and cognitive comorbidities may prove a greater source of disability for the patient and family than the seizures themselves, and in the case of essential comorbidities, they are regarded as core to the disorder in terms of etiology, diagnosis, and treatment.

Anticipatory anxiety of seizures is associated with ictal emotional distress and amygdala onset seizures

OBJECTIVE

Anxiety disorders are a frequent psychiatric condition in patients with epilepsy. Anticipatory Anxiety of Seizures (AAS) is described as a daily persistent fear, or excessive worry of having a seizure. AAS seems to be related to "subjective ictal anxiety" reported by patient. The current study aimed to assess the association between objective ictal features and the presence of AAS.

METHODS

Ninety-one patients with drug-resistant focal epilepsy underwent a standardized psychiatric assessment, specific for epilepsy, and a pre-surgical long term video-EEG or stereoelectroencephalography (SEEG). We compared seizures semiology and epilepsy features of patients with AAS (n=41), to those of patients without AAS (n=50). We analyzed emotional and motor behavior ictal signs as well as ictal consciousness. We further assessed amygdala ictal involvement in seizures recorded with SEEG (n=28).

RESULTS

AAS was significantly associated with the presence of ictal emotional distress: negative emotional behavior (p<0.01) and negative emotion, explicitly reported to examiner during record (p=0.015), regardless of the ictal level of consciousness. Among the patients recorded with SEEG, we found a significant involvement of amygdala within the seizure onset zone (p<0.01) for patients with AAS.

SIGNIFICANCE

Higher risk of developing AAS is associated with seizures expressing negative emotional symptoms, independently of ictal consciousness level. Persistent interictal fear of seizures might be viewed as the consequence of a reinforcement of the emotional networks secondary to amygdala involvement in seizures of temporal origin. Physicians should screen for AAS not only to assess the impact of epilepsy on daily life, but also as an interictal biomarker of ictal semiology and emotional network involvement at seizure onset.

Screening for epilepsy-specific anxiety symptoms: French validation of the EASI

OBJECTIVES

(1) To translate and validate the Epilepsy Anxiety Survey Instrument (EASI) in French people with epilepsy (PWE); (2) to further investigate the screening properties of each dimension of the EASI in terms of Diagnostic and Statistical Manual of Mental Disorders (DSM) anxiety disorders and of epilepsy-specific anxiety disorders, namely, anticipatory anxiety of seizures (AAS) and epileptic social phobia.

METHODS

Following back-translation, the French EASI was tested in PWE > 18 years using the Mini-International Neuropsychiatric Interview (MINI) as gold standard for DSM anxiety disorders. We added 3 original questions to explore epilepsy-specific anxiety symptoms. The Generalized Anxiety Disorders-7 (GAD-7), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and Adverse Events Profile were performed for external validity. Receiver operator characteristics (ROC) were analyzed.

RESULTS

One hundred and forty nine native French speakers with epilepsy were included. Concerning DSM disorders, around 25% had GAD, 18% Agoraphobia, and <10% Social Phobia or Panic Disorder. Concerning possible epilepsy-specific anxiety disorder, 35% had AAS and 38% had epileptic social phobia. Bi-dimensional structure of the EASI was confirmed. Internal and external validity was satisfactory. ROC analysis showed AUC of 0.83 for detection of GAD and AUC 0.79 for other DSM anxiety disorders. ROC analysis of the 8-item French brEASI showed good performance for detection of GAD (AUC 0.83) and other DSM anxiety disorders (AUC 0.76) but not for epilepsy-specific anxiety symptoms (AUC 0.63). Conversely, dimension 2 of the French EASI (=10 items) allowed good detection of epilepsy-specific anxiety symptoms (AUC 0.78); cutoff > 4, sensitivity 82.4, specificity 66.7.

CONCLUSION

Epilepsy-specific anxiety symptoms were prevalent, in around 60%. The French version of the EASI showed robust performance. The French 8-item brEASI allows screening for all DSM anxiety disorders with superior performance than the GAD-7, but is less suited to screening for epilepsy-specific anxiety. We propose the "Epilepsy-Specific Anxiety" (ESA) 10-item screening instrument, based on dimension 2 of the EASI, as a complementary clinical and research tool.

Lack of association between generic brittleness and neuropsychiatric measures in patients with epilepsy

PURPOSE

In a prior bioequivalence study, generic brittle (GB) patients with epilepsy who were considered at risk of worsened seizures or drug side effects from switching antiepileptic drug (AED) formulations demonstrated no significant difference in their drug levels when switched between a brand and generic AED. An alternative basis for being GB may relate to having a personality or mindset that predisposes to poor outcomes from a formulation switch. The objective of this study was to explore whether GB patients with epilepsy could be differentiated from not GB patients based on standardized measures of personality, mood, outlook, and beliefs.

METHODS

This was an exploratory, observational, case-control, non-therapeutic study in patients with epilepsy. Patient interviews were conducted, and histories were collected, yielding each patient (n = 148) to be determined as GB or not GB. Eight neuropsychiatry tests were administered to n = 127 of these patients. Tests included Neuroticism Extraversion Openness Personality Inventory 3 (NEO-PI 3), Life Orientation Test-Revised (LOT-R), Quality of Life in Epilepsy Inventory-89 (QOLIE-89), Adverse Childhood Experiences Score (ACE), Physical Symptoms Questionnaire or Patient Health Questionnaire-15 (PHQ-15), Beck Depression Inventory II (BDI-II), Beck Anxiety Inventory (BAI), and the Beliefs About Medicines Questionnaire Epilepsy (BMQ-Epilepsy). A total of 23 Chi squared analyses, along with logistical regression, were performed to assess which tests and sub-elements associated with GB status.

RESULTS

None of the neuropsychiatry tests or their sub-elements differentiated GB patients from not GB patients. Results implicate that standardized measures of personality, mood, outlook, and beliefs about their healthcare do not differ between GB and not GB patients with epilepsy, possibly because generic brittleness is caused by factors that neuropsychiatry tests do not measure.

CONCLUSIONS

We hypothesized that being GB may relate to having a personality or mindset that predisposes patients to attributing poor outcomes to a formulation switch. However, findings here in patients with epilepsy did not uncover neuropsychiatric factors that predict which patients were GB and which were not GB.

Validation of the Generalized Anxiety Disorder-7 (GAD-7) in Russian people with epilepsy

OBJECTIVE

To assess the capacity of Generalized Anxiety Disorder-7 (GAD-7) to detect anxiety disorders in a Russian sample of patients with epilepsy and to validate this instrument for rapid screening of anxiety in these patients.

METHODS

Study included 233 patients with epilepsy, both inpatients and outpatients. For all patients Mini-International Neuropsychiatric Interview was conducted as a gold standard for diagnosis of mental disorders. All patients also completed the questionnaires - the Russian version of GAD-7 and Hospital Anxiety and Depression Scale (HADS) to assess convergent validity. Chi-square and Fisher's exact tests were used to compare categorical variables, and the Mann-Whitney test was used for the quantitative ones. Internal consistency was assessed using Cronbach's alpha, Cronbach's alpha at point deletion, and corrected point-to-point correlation. ROC analysis was used to evaluate the properties of the GAD-7 to determine anxiety disorders.

RESULTS

Among 97 (41.6%) patients with epilepsy diagnosed with any anxiety disorders, 42 (18%) had panic disorder, 37 (15.9%) had agoraphobia, 17 (7.3%) had social anxiety disorder, and 64 (27.5%) had generalized anxiety disorder; 42 patients (18%) showed a combination of several anxiety disorders. The overall GAD-7 score was similar to other epilepsy studies, but higher cutoff scores characterize our sample. The scale performed well in detecting any anxiety disorder with the AUC of 0.866 and the optimal cutoff point > 8 points, and in detecting GAD with AUC = 0.922 and the optimal cutoff point > 9 points, showing overall acceptable sensitivity.

CONCLUSION

Russian version of the GAD-7 could be used as a screening tool for any anxiety disorders in PWE with the optimal cutoff score > 8 points.

Enhanced rates of detection and treatment of depression and anxiety disorders among adult patients with epilepsy using automated EMR-based screening

OBJECTIVE

Depression and anxiety disorders are common among patients with epilepsy (PWE). These comorbidities have been shown to influence prognosis and may have a greater impact on quality of life than seizure control. Despite guideline recommendations and expert consensus to regularly screen for and treat both conditions, there is evidence that they are underdiagnosed and undertreated. Our goal was to test a novel screening method to determine if it would increase the rate of detecting and treating depression and anxiety disorders among PWE.

METHOD

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Brief Epilepsy Anxiety Survey Instrument (brEASI) were selected as validated screening instruments for depression and anxiety disorders, respectively. They were sent via an electronic medical record-linked patient portal to all patients of four epileptologists 48 h prior to their clinic appointment. We evaluated whether this increased the rate of detecting and treating depression and anxiety disorders relative to a historical control group.

RESULTS

A total of 563 patients were included of whom 351 were sent the screening instruments. 62.7% of patients completed the screening instruments of whom 47.7% screened positive for either depression only (16.4%), anxiety disorders only (5.5%) or both (25.9%); a statistically significant increase relative to the control group. There was also a significantly increased proportion of patients for whom treatment was initiated for depression (p < 0.01), anxiety disorders (p < 0.01), or both (p < 0.01).

CONCLUSIONS

We identified an easily applicable and efficient means of enhancing detection and treatment rates for depression and anxiety disorders among PWE in a busy clinic setting.

The burden of disease of idiopathic/genetic generalized epilepsy - A nationwide online survey

The aim of the study was to assess the self-reported burden of disease in people with idiopathic/genetic generalized epilepsy and risk factors associated with high disease burden. We performed a nationwide online survey on epilepsy characteristics/treatment, quality of life/daily living followed by Standardized Assessment of Personality-Abbreviated Scale, Major Depression Inventory, Barratt Impulsiveness Scale (brief) and the brief Epilepsy Anxiety Survey Instrument. The survey was sent to 275 representative patients with IGE ('Funen cohort') and later publicly distributed via the Danish Epilepsy Association. The characteristics of the responders of the 'Funen cohort' (n = 119) did not differ from non-responders and previously assessed data. Out of 753 persons accessing the public survey, 167 had probable IGE. As compared to the 'Funen cohort', patients from the public survey reported similar age, time since last seizure, years with disease, seizure types, and IGE syndromes but more current and previously tried anti-seizure medications (ASMs). In both cohorts, patients had higher scores for depression, impulsivity, and personality disorders as compared to Danish normal values irrespective of seizure control or medication. Higher depression and anxiety scores but neither impulsivity nor personality disorders were associated with ongoing seizures. Overall health condition was estimated as bad by 28%. In the last four weeks, 20.4% reported limitations of activities of daily living due to epilepsy; 27.8% felt fed up because of their epilepsy. Patients with high subjective disease burden had more current ASMs, shorter time since last seizure and increased scores for depression, anxiety, impulsivity, and personality disorders. In conclusion, having IGE was associated with higher scores for impulsivity, depression, and personality disorders irrespective of seizure control and current treatment. High subjective disease burden was common and associated with ongoing seizures, absence/myoclonic seizures and high scores for impulsivity, depression, anxiety, and personality disorders.

Managing depression and anxiety in people with epilepsy: A survey of epilepsy health professionals by the ILAE Psychology Task Force

Objectives

The Psychology Task Force of the Medical Therapies Commission of the International League Against Epilepsy (ILAE) has been charged with taking steps to improve global mental health care for people with epilepsy. This study aimed to inform the direction and priorities of the Task Force by examining epilepsy healthcare providers' current practical experiences, barriers, and unmet needs around addressing depression and anxiety in their patients.

Methods

A voluntary 27-item online survey was distributed via ILAE chapters and networks. It assessed practices in the areas of screening, referral, management, and psychological care for depression and anxiety. A total of 445 participants, from 67 countries (68% high income), commenced the survey, with 87% completing all components. Most respondents (80%) were either neurologists or epileptologists.

Results

Less than half of respondents felt adequately resourced to manage depression and anxiety. There was a lack of consensus about which health professionals were responsible for screening and management of these comorbidities. About a third only assessed for depression and anxiety following spontaneous report and lack of time was a common barrier (>50%). Routine referrals to psychiatrists (>55%) and psychologists (>41%) were common, but approximately one third relied on watchful waiting. A lack of both trained mental health specialists (>55%) and standardized procedures (>38%) was common barriers to referral practices. The majority (>75%) of respondents' patients identified with depression or anxiety had previously accessed psychotropic medications or psychological treatments. However, multiple barriers to psychological treatments were endorsed, including accessibility difficulties (52%).

Significance

The findings suggest that while the importance of managing depression and anxiety in patients with epilepsy is being recognized, there are ongoing barriers to effective mental health care. Key future directions include the need for updated protocols in this area and the integration of mental health professionals within epilepsy settings.

How frequently is anxiety and depression identified and treated in hospital and community samples of adults with epilepsy?

While it is often stated that psychiatric co-morbidity in PWE is under-recognized and under-treated, little research has directly examined this assertion. The aims of this study were to understand the rates of confirmed diagnosis and treatment of depression and anxiety in people with epilepsy (PWE). Two samples were recruited: a hospital sample of 106 adult outpatients with epilepsy who underwent a structured psychiatric diagnostic interview and a community sample of 273 PWE who completed validated measures of depression and anxiety symptoms online. In the hospital sample, fewer participants who met criteria for an anxiety disorder had received a prior diagnosis compared to those with a depressive disorder (36% vs 67%). In the community sample, the rates of known diagnosis were comparable (65% vs. 69%). Approximately, one-third of PWE with an anxiety disorder (or clinically significant symptoms) were receiving current treatment compared to approximately half of those with depression. These findings confirm the high rates of psychiatric co-morbidity in PWE and indicate that a large proportion of anxiety diagnoses, in particular, are undetected and not receiving either pharmacological or psychological support. Future work is needed to improve the detection and management of psychiatric co-morbidity in PWE, especially for anxiety disorders.

Telehealth for Children With Epilepsy Is Effective and Reduces Anxiety Independent of Healthcare Setting

Objectives: The use of telemedicine has grown exponentially as an alternative to providing care to patients with epilepsy during the pandemic. We investigated the impact of the current pandemic among children with epilepsy from two distinct pediatric epilepsy centers. We also compared perceptions among those who received telemedicine against those who did not. Methods: We developed a questionnaire and invited families followed in Freiburg, Germany, and Calgary, Alberta, Canada, to participate during the initial 9 months of the pandemic. The survey contained 32 questions, 10 of which were stratified according to telemedicine exposure. Results: One hundred twenty-six families (80 in Freiburg, 46 in Calgary) participated, and 40.3% received telemedicine care. Most children (mean age 10.4 years, SD 5.1) had chronic epilepsy but poorly controlled seizures. Negative impacts were reported by 36 and 65% of families who had to reschedule appointments for visits and diagnostics, respectively. Nearly two-thirds of families reported no change in seizure frequency, while 18.2% reported either worsening or improvement of seizures. Although most families did not note behavioral changes, 28.2% reported behavior worsening. Families who received telemedicine care had a statistically significant reduction of parental self-reported anxiety level after virtual visits compared to those who did not experience telemedicine. Families with telemedicine consultations were more likely to consider future virtual care (84 vs. 65.2% of those without), even after the pandemic. Patient data safety, easy access to specialized services, and consistency with the same healthcare provider were graded as important in both centers, while a shorter waiting time was most relevant in Calgary. Conclusion: In our cohort, some children with epilepsy experienced increased seizures and worsening behavior during the first 9 months of the current pandemic. In addition, our data suggest that telemedicine might reduce parental anxiety symptoms, and families who experienced telehealth were more positive and open to similar appointments in the future.

Anticipatory anxiety of epileptic seizures: An overlooked dimension linked to trauma history

OBJECTIVE

Fear of having a seizure called anticipatory anxiety of epileptic seizure (AAS), constitutes a daily life burden but has been rarely studied. Our aim was to assess the prevalence and the determining factors of AAS in patients with drug-resistant focal epilepsy, a dimension that has not been thoroughly investigated before.

METHODS

We conducted an observational, prospective study enrolling patients with drug-resistant focal epilepsy. The psychiatric assessment aimed to evaluate psychiatric comorbidities, trauma history, and quality of life using hetero-evaluation and self-assessment tools. Dimensions of anxiety specifically related to epilepsy (peri-and-inter-ictal) were explored as exhaustively as possible.

RESULTS

AAS was found in 53 % of the 87 patients. We compared the two groups of patients: with or without AAS. Patients with AAS had a significantly shorter duration of epilepsy (p = 0.04). There was no difference between groups with respect to psychiatric disorders, except for cannabis dependence, more frequent in patients with AAS (p = 0.02). Compared to patients without AAS, those with AAS presented more subjective ictal anxiety (p = 0.0003) and postictal anxiety (p = 0.02), were more likely to avoid outdoor social situations due to seizure fear (p = 0.001), and had a poorer quality of life (QOLIE emotional well-being; p = 0.03). Additionally, they had experienced more traumatic events in their lifetime (p = 0.005) and reported more frequently a feeling of being unsafe during their seizures (p = 0.00002).

SIGNIFICANCE

AAS is a specific dimension of anxiety, possibly linked to trauma history. AAS is strongly linked to subjective ictal anxiety but not to the objective severity of seizures or frequency.

Teleneuropsychology in the time of COVID-19: The experience of The Australian Epilepsy Project

PURPOSE

Traditional neuropsychological testing carries elevated COVID-19 risk for both examinee and examiner. Here we describe how the pilot study of the Australian Epilepsy Project (AEP) has transitioned to tele-neuropsychology (teleNP), enabling continued safe operations during the pandemic.

METHODS

The AEP includes adults (age 18-60) with a first unprovoked seizure, new diagnosis of epilepsy or drug resistant focal epilepsy. Shortly after launching the study, COVID-related restrictions necessitated adaptation to teleNP, including delivery of verbal tasks via videoconference; visual stimulus delivery via document camera; use of web-hosted, computerised assessment; substitution of oral versions for written tests; online delivery of questionnaires; and discontinuation of telehealth incompatible tasks.

RESULTS

To date, we have completed 24 teleNP assessments: 18 remotely (participant in own home) and six on-site (participant using equipment at research facility). Five face-to-face assessments were conducted prior to the transition to teleNP. Eight of 408 tests administered via teleNP (1.9 %) have been invalidated, for a variety of reasons (technical, procedural, environmental). Data confirm typical patterns of epilepsy-related deficits (p < .05) affecting processing speed, executive function, language and memory. Questionnaire responses indicate elevated rates of patients at high risk of mood (34 %) and anxiety disorder (38 %).

CONCLUSION

Research teleNP assessments reveal a typical pattern of impairments in epilepsy. A range of issues must be considered when introducing teleNP, such as technical and administrative set up, test selection and delivery, and cohort suitability. TeleNP enables large-scale neuropsychological research during periods of social distancing (and beyond), and offers an opportunity to expand the reach and breadth of neuropsychological services.

Who is willing to participate in research? A screening model for an anxiety and depression trial in the epilepsy clinic

OBJECTIVE

Anxiety and depression in epilepsy are prevalent, associated with poor outcomes, underrecognized, undertreated, and thus a key area of need for treatment research. The objective of this study was to assess factors associated with research participation among epilepsy clinic patients who screened positive for anxiety or depression. This was accomplished by characterizing clinical and psychiatric factors among patients seen in an epilepsy clinic and evaluating which factors were associated with consent for potential research participation, via a combined clinical and research screening model.

METHODS

In a pragmatic trial of anxiety and depression treatment in epilepsy, individuals with a positive screen for anxiety and/or depression at a routine epilepsy clinic visit were invited to opt-in (via brief electronic consent) to further eligibility assessment for a randomized treatment study. Information on psychiatric symptoms and treatment characteristics were collected for dual clinical care and research screening purposes. Cross-sectional association of demographic, clinical, and psychiatric factors with opting-in to research was analyzed by multiple logistic regression.

RESULTS

Among N = 199 unique adults with a first positive screen for anxiety and/or depression among 786 total screening events, 154 (77.4%) opted-in to further potential research assessment. Higher depression scores and current treatment with an antidepressant were independently associated with opting-in to research (depression odds ratio (OR) = 1.13 per 1-point increase in Neurological Disorders Depression Inventory-Epilepsy (NDDI-E) score, p = 0.028, 95% confidence interval (CI): 1.01-1.26; antidepressant OR = 2.37, p = 0.041, CI: 1.04-5.41). Nearly half of the 199 individuals (43.7%) with anxiety and/or depression symptoms were already being treated with an antidepressant, and 46.7% were receiving neither antidepressant therapy nor mental health specialty care. One-quarter (24.1%) reported a past psychiatric hospitalization, yet only half of these individuals were receiving mental health specialty care.

SIGNIFICANCE

Our results demonstrate a high willingness to participate in research using a brief electronic consent approach at a routine clinic visit. Adults with persistent anxiety or depression symptoms despite antidepressant therapy and those with higher depression scores were more willing to consider a randomized treatment study. This has implications for future study design, as individuals already on treatment or those with more severe symptoms are often excluded from traditional research designs. We also found a high burden of psychiatric disease and high prevalence of persistent symptoms despite ongoing antidepressant treatment.