Implicit and explicit self-esteem discrepancies in people with psychogenic nonepileptic seizures

PurposeSelf-esteem (SE), or one's sense of competence and worth, is reduced in many mental and physical disorders. Low SE is associated with perceived stigma and disability and poor treatment outcomes. The present study examined implicit and explicit SE (automatic and deliberate views about the self) in people with epilepsy and people with psychogenic nonepileptic seizures (PNESs). Discrepancies between implicit SE and explicit SE have been found to correlate with psychological distress in disorders often associated with PNESs but are relatively unexplored in PNESs. We hypothesized that, compared with epilepsy, PNESs would be associated with lower self-reported SE and greater discrepancies between implicit SE and explicit SE.MethodsThirty adults with PNESs, 25 adults with epilepsy, and 31 controls without a history of seizures were asked to complete the Rosenberg Self-esteem Scale as a measure of explicit SE and an Implicit Relational Assessment Procedure as a measure of implicit SE. The State–Trait Anxiety Inventory and Patient Health Questionnaire—15 (a somatic symptom inventory) were also administered.ResultsWe found significant group differences in explicit (p < 0.001) but not implicit SE. Patients with PNESs reported lower SE than the other groups. No group differences were found in implicit SE. Implicit–explicit SE discrepancies were larger in the group with PNESs than in the other groups (p < 0.001). Higher frequency of PNESs (but not epileptic seizures) was associated with lower explicit SE (r_s = − .83, p < 0.01) and greater SE discrepancies (i.e., lower explicit relative to implicit SE; r_s = .65, p < 0.01). These relationships remained significant when controlling for anxiety and somatization.ConclusionPatients with PNESs had lower explicit SE than those with epilepsy or healthy controls. In keeping with our expectations, there were greater discrepancies between implicit SE and explicit SE among patients with PNESs than in the other groups. Our results, including the strong relationship between PNES frequency, anxiety, and explicit–implicit SE discrepancies, support the interpretation that PNESs serve to reduce cognitive dissonance, perhaps protecting patients' implicit SE.     

Prevalence of alexithymia in patients with psychogenic non-epileptic seizures and epileptic seizures and predictors in psychogenic non-epileptic seizures

ObjectiveThe first objective of this study was to determine the prevalence rate of alexithymia (dysregulation and unawareness of emotion) in patients with psychogenic non-epileptic seizures (PNESs) and epileptic seizures (ESs). The second objective was to identify the predictors of alexithymia in patients with PNESs.MethodsWe studied 66 consecutive patients with PNESs and 35 patients with ESs with the Toronto Alexithymia Scale-20. The prevalence of alexithymia was determined in both groups. In order to identify the risk factors of alexithymia in PNES, the Trauma Symptom Inventory-II (TSI-II), the MMPI 2-RF, a clinical history, and demographic variables were studied.ResultsOur study revealed a prevalence of alexithymia in PNES and ES of 36.9% and 28.6%, respectively (not a significant difference). Upon examining the group with PNES, we found a significant correlation between alexithymia and Anxious Arousal (r = .497, p < .000), Intrusive Experiences (r = .541, p < .000), Dissociation (r = .421, p < .001), and Defensive Avoidance (r = .444, p < .000) from the TSI-II. Minnesota Multiphasic Personality Inventory-2-RF RCd (r = .512, p < .000), RC1 (r = .346, p < .017), RC2 (r = .355, p < .017), RC3 (r = .467, p < .001), and EID (r = .567, p < .000) also correlated significantly with alexithymia. However, stepwise regression analysis only retained Intrusive Experiences and Defensive Avoidance from the TSI-II and the cynicism RC3 scale from the MMPI 2-RF.ConclusionSymptoms of psychological trauma and cynicism in patients diagnosed with PNESs were associated with alexithymia. These findings are encouraging, as they assist in better understanding the condition and in treatment design for this subset of patients.     

Diagnostic yield of short-term video-EEG monitoring for epilepsy and PNESs: A European assessment

IntroductionAlthough long-term video-EEG monitoring (LVEM) is routinely used to investigate paroxysmal events, short-term video-EEG monitoring (SVEM) lasting < 24 h is increasingly recognized as a cost-effective tool. Since, however, relatively few studies addressed the yield of SVEM among different diagnostic groups, we undertook the present study to investigate this aspect.MethodsWe retrospectively analyzed 226 consecutive SVEM recordings over 6 years. All patients were referred because routine EEGs were inconclusive. Patients were classified into 3 suspected diagnostic groups: (1) group with epileptic seizures, (2) group with psychogenic nonepileptic seizures (PNESs), and (3) group with other or undetermined diagnoses. We assessed recording lengths, interictal epileptiform discharges, epileptic seizures, PNESs, and the definitive diagnoses obtained after SVEM.ResultsThe mean age was 34 (± 18.7) years, and the median recording length was 18.6 h. Among the 226 patients, 127 referred for suspected epilepsy — 73 had a diagnosis of epilepsy, none had a diagnosis of PNESs, and 54 had other or undetermined diagnoses post-SVEM. Of the 24 patients with pre-SVEM suspected PNESs, 1 had epilepsy, 12 had PNESs, and 11 had other or undetermined diagnoses. Of the 75 patients with other diagnoses pre-SVEM, 17 had epilepsy, 11 had PNESs, and 47 had other or undetermined diagnoses. After SVEM, 15 patients had definite diagnoses other than epilepsy or PNESs, while in 96 patients, diagnosis remained unclear. Overall, a definitive diagnosis could be reached in 129/226 (57%) patients.ConclusionsThis study demonstrates that in nearly 3/5 patients without a definitive diagnosis after routine EEG, SVEM allowed us to reach a diagnosis. This procedure should be encouraged in this setting, given its time-effectiveness compared with LVEM.     

Thoughts,emotions, and dissociative features differentiate patients with epilepsy from patients with psychogenic nonepileptic spells (PNESs)

Psychogenic nonepileptic spells (PNESs) are often very difficult to treat, which may be, in part, related to the limited information known about what a person experiences while having PNESs. For this retrospective study, thoughts, emotions, and dissociative features during a spell were evaluated in 351 patients diagnosed with PNESs (N = 223) or epilepsy (N = 128). We found that a statistically higher number of thoughts, emotions, and dissociative symptoms were endorsed by patients with PNESs versus patients with epilepsy. Patients with PNESs reported significantly more anxiety and frustration, but not depression, compared with those with epilepsy. Emotions and dissociations, but not thoughts, and a history of any type of abuse were endorsed significantly more often by patients with PNESs. Patients with PNESs are prone to having poor outcomes, and interventions focusing on their actual experiences may be helpful for treatment planning.     

A multicenter evaluation of a brief manualized psychoeducation intervention for psychogenic nonepileptic seizures delivered by health professionals with limited experience in psychological treatment

RationaleThe aim of this study was to add to our understanding of the impact of psychoeducation on patients' acceptance of the diagnosis of psychogenic nonepileptic seizures (PNESs), the frequency of their seizures, and their quality of life. The study also aimed to evaluate the effectiveness of brief manualized psychoeducation interventions for PNESs, delivered by a more diverse range of clinicians and in a wider range of treatment settings.MethodThe final sample consisted of 25 patients diagnosed with PNESs by a neurologist specializing in the treatment of seizure disorder and referred to the psychotherapy service. The study included patients from four centers, using a manualized psychoeducation intervention delivered over 4 sessions by specialist epilepsy nurses and assistant psychologists. All patients completed self-measure questionnaires for Seizure Frequency, Impaired Functioning (WSAS), Psychological Distress (CORE-OM), Illness Perception (BIPQ), Health-Related Quality of Life: general (ED-QOL) and epilepsy-specific (NewQOL-6D), Symptom Attribution, and patient's perception of usefulness and relevance of the intervention. All measures were collected at baseline and after the completion of the fourth session.ResultsAll measures improved from baseline to postintervention, but this improvement was only significant for CORE-OM (p < .05) and BIPQ (p < .01). Out of the 25 patients who completed the intervention information, 6 out of 25 (24%) had been seizure-free for the past month, and an additional 6 out of 25 (24%) had achieved seizure frequency reduction. Consequently, upon completion of the intervention, 12 out of 25 patients (48%) were either seizure-free or experienced fewer seizures compared with the start of the intervention.ConclusionThe evidence suggests that brief manualized psychoeducation intervention can reduce PNES frequency, improve the psychological distress, and have an effect on patients' illness perceptions that should help them engage with a more extended psychotherapy program if that was necessary. The intervention was carried out successfully by staff with relatively little training in delivering psychological interventions. Further controlled studies are required to provide proof of efficacy.     

Distinguishing between patients with pure psychogenic nonepileptic seizures and those with comorbid epilepsy by means of clinical data

Patients with psychogenic nonepileptic seizures (PNESs) often have additional epileptic seizures (ESs). Distinguishing between those with ESs and those without ESs is difficult but mandatory. We hypothesize that these two patient groups differ in clinical data, which might be useful for establishing diagnosis. All patients with PNESs (n = 114) from the Bethel Epilepsy Centre treated between 1/11/2010 and 1/11/2011 were included. Thirty-six percent had additional epilepsy. In contrast, 84 of the 114 patients with PNESs took antiepileptic drugs (AEDs) (AED treatment: patients with PNESs = 44/73, patients with PNESs + ESs = 40/41), most of them (65.5%) as polytherapy. Significant differences between both groups were as follows: patients with PNESs were older at disease onset, had a shorter duration from onset to inpatient visit, were less frequently on AEDs, were less frequently on antiepileptic polytherapy, and had a normal EEG compared with patients with PNESs + ESs. Multivariate stepwise logistic regression revealed age at seizure onset, number of AEDs, and difference between number of AEDs and psychiatric drugs as significant predictors of patients with ESs in PNESs (Nagelkerke's r² = 0.59). Therefore, clinical data proved to be useful in the diagnostic process.     

Psychiatric comorbidity in psychogenic nonepileptic seizures compared with epilepsy

ObjectivesPsychogenic nonepileptic seizures (PNESs) are closely linked with psychological distress, but their etiology is not well-understood. We reviewed psychiatric comorbidity in PNESs and epileptic seizures (ESs) with an aim to assist understanding, diagnosis, and management of PNESs.MethodsA search of Web of Science, MEDLINE (PubMed), PsycINFO, and Scopus identified 32 relevant studies on the prevalence of psychiatric comorbidity in PNESs. We used meta-analysis to compare psychiatric comorbidity between PNESs and ESs.ResultsSamples with PNESs had high rates of psychiatric comorbidity overall (53–100%), notably including posttraumatic stress disorder (PTSD), depression, and personality and anxiety disorders. Compared with ESs, samples with PNESs had more psychiatric comorbidity overall (RR: 1.30, 95% CI: 1.14–1.48, p < 0.0001) with significantly elevated risks found for PTSD, personality disorder, and anxiety but not depression.ConclusionsPsychiatric disorders are more common in PNESs than ESs. Because of methodological limitations of available studies, causality cannot be established; prospective longitudinal designs are required.     

Implicit and explicit motor learning: Application to children with Autism Spectrum Disorder (ASD)

Aims and objectivesThis study aims to determine whether children with Autism Spectrum Disorder (ASD) are capable of learning a motor skill both implicitly and explicitly.MethodsIn the present study, 30 boys with ASD, aged 7–11 with IQ average of 81.2, were compared with 32 typical IQ- and age-matched boys on their performance on a serial reaction time task (SRTT). Children were grouped by ASD and typical children and by implicit and explicit learning groups for the SRTT.ResultsImplicit motor learning occurred in both children with ASD (p = .02) and typical children (p = .01). There were no significant differences between groups (p = .39). However, explicit motor learning was only observed in typical children (p = .01) not children with ASD (p = .40). There was a significant difference between groups for explicit learning (p = .01).DiscussionThe results of our study showed that implicit motor learning is not affected in children with ASD. Implications for implicit and explicit learning are applied to the CO-OP approach of motor learning with children with ASD.     

Analyzing reliability of seizure diagnosis based on semiology

This study aimed to determine the accuracy of seizure diagnosis by semiological analysis and to assess the factors that affect diagnostic reliability. A total of 150 video clips of seizures from 50 patients (each with three seizures of the same type) were observed by eight epileptologists, 12 neurologists, and 20 physicians (internists). The videos included 37 series of epileptic seizures, eight series of physiologic nonepileptic events (PNEEs), and five series of psychogenic nonepileptic seizures (PNESs). After observing each video, the doctors chose the diagnosis of epileptic seizures or nonepileptic events for the patient; if the latter was chosen, they further chose the diagnosis of PNESs or PNEEs. The overall diagnostic accuracy rate for epileptic seizures and nonepileptic events increased from 0.614 to 0.660 after observations of all three seizures (p < 0.001). The diagnostic sensitivity and specificity of epileptic seizures were 0.770 and 0.808, respectively, for the epileptologists. These values were significantly higher than those for the neurologists (0.660 and 0.699) and physicians (0.588 and 0.658). A wide range of diagnostic accuracy was found across the various seizures types. An accuracy rate of 0.895 for generalized tonic–clonic seizures was the highest, followed by 0.800 for dialeptic seizures and then 0.760 for automotor seizures. The accuracy rates for myoclonic seizures (0.530), hypermotor seizures (0.481), gelastic/dacrystic seizures (0.438), and PNESs (0.430) were poor. The reliability of semiological diagnosis of seizures is greatly affected by the seizure type as well as the doctor's experience. Although the overall reliability is limited, it can be improved by observing more seizures.     

Attachment style,relationship quality,and psychological distress in patients with psychogenic non-epileptic seizures versus epilepsy

ObjectivesPsychopathology levels are elevated in patients with psychogenic non-epileptic seizures (PNES) and those with epilepsy. However, patients with PNES report higher rates of trauma and neglect, poorer health-related quality of life (HRQoL), and an increased prevalence of insecure attachment. We examined to what extent attachment style and relationship quality with their main informal carer impact on levels of HRQoL, depression, and anxiety in patients with PNES versus those with epilepsy.MethodConsecutive patients with PNES (N = 23) and epilepsy (N = 72) completed questionnaires about attachment style, quality of their relationship with their main informal carer, seizure severity, HRQoL, depression, and anxiety.ResultsPatients with PNES reported higher levels of anxiety and depression and lower HRQoL than those with epilepsy. PNES: No significant correlations were found with HRQoL but depression correlated positively with attachment avoidance, attachment anxiety, and relationship conflict. Anxiety correlated positively with attachment avoidance, attachment anxiety, and relationship conflict, and negatively with relationship depth and support. Epilepsy: HRQoL correlated negatively with seizure severity, depression, anxiety, attachment avoidance, and attachment anxiety. Depression correlated positively with attachment avoidance, attachment anxiety, and relationship conflict. Anxiety correlated positively with seizure severity, attachment avoidance, and attachment anxiety. Correlations between measures of relationship quality and anxiety were stronger in patients with PNES versus those with epilepsy (zs = 2.66 to 2.97, ps < 0.004). Attachment style and relationship quality explained larger amounts of variance in depression (45%) and anxiety (60%) in the patients with PNES than those with epilepsy (16% and 13%).SignificanceLevels of anxiety and depression were higher in patients with PNES than those with epilepsy. Interpersonal problems were much more closely associated with anxiety and depression in patients with PNES than those with epilepsy. The findings support the use of therapeutic interventions for PNES focusing on attachment and relationship issues.     

Impact of psychogenic nonepileptic seizures on epilepsy presurgical investigation and surgical outcomes

IntroductionWe sought to determine the percentage of patients undergoing presurgical assessment that had both psychogenic nonepileptic seizures (PNESs) and epileptic seizures (ESs) captured within our telemetry unit and how this affected progression to surgery and describe eventual outcomes in patients with a history of mixed PNESs/ESs who underwent surgery.Material and methodsTo determine what happened to patients who had PNESs recorded during a presurgical workup, we reviewed the records of 725 patients admitted to our telemetry unit for presurgical assessment between 2007 and 2013 and identified those with PNESs and ESs recorded.To determine outcomes postsurgery in operated patients who had mixed PNESs/ESs, we also reviewed the records of 519 patients who had had epilepsy surgery between 1999 and 2012 and identified those within this group who also had PNESs prior to surgery.ResultsNineteen of the 725 patients had PNESs captured during their presurgical telemetry along with ESs captured on either this or a previous study. Four of these patients were ultimately offered surgery. Nine of the 519 patients with a history of PNESs underwent epilepsy surgery. At 1 to 5 years of follow-up (mean: 4.1 years) of those nine patients, five were still having ESs and three patients had worsening or new-onset PNESs. At the last follow-up, four had had a worthwhile improvement.DiscussionThis study suggests that recent outcomes for people with mixed PNESs/ESs are not as promising as previously described and that PNESs should remain a relative contraindication for surgery.     

Long-term outcome of psychogenic nonepileptic seizures: The role of induction by suggestion

PurposeThe aims of our retrospective observational study were to evaluate the long-term outcome of PNESs after communication of the diagnosis and to define predictors of good outcome.MethodTwenty-seven consecutive patients with a certain diagnosis of psychogenic nonepileptic seizures (PNESs) were included in the study. Follow-up information was obtained from each participant through a questionnaire designed for the study. Regarding seizure frequency, the patients were asked to report how many seizures they had experienced on average every month before the communication of the diagnosis and after it.ResultsAfter the communication of the diagnosis, the median seizure frequency had dropped to 4 every month (p < 0.001). Seventeen participants (63%) were seizure-free at follow-up, and a further five (18.5%) showed a greater than 50% improvement in seizure frequency. Regarding the predictive value of clinical and sociodemographic variables for PNES global outcome, the factors gender, education, economic status, interval of time from onset, comorbidity with epilepsy, psychiatric history, mental retardation, psychological therapy, psychiatric therapy, and the presence of stressful and traumatic events were not related to prognosis; the only factor associated with a better outcome was the diagnosis made after the induction of PNESs by suggestion (p = 0.000, χ² = 4.654).ConclusionA substantial majority of our patients became seizure-free with communication of the diagnosis as the only intervention. The use of the induction by suggestion test was an important predictor of good outcome.     

Safety in the epilepsy monitoring unit: A retrospective study of 524 consecutive admissions

The yield of monitoring patients at an epilepsy monitoring unit (EMU) depends on the recording of paroxysmal events in a timely fashion, however, increasing the risk of safety adverse events (AEs). We aimed to retrospectively study the frequency and risk factors for AE occurrences in all consecutive admissions to an adult EMU in a tertiary medical center. We also compared our findings with published data from other centers.Between January 2011 and June 2014, there were 524 consecutive admissions to the adult EMU at the Tel Aviv Sourasky Medical Center. Adverse events were recorded in 47 (9.0%) admissions. The most common AE was 4-hour seizure cluster (58.7% of AEs) and, in decreasing frequency, AEs related to antiepileptic drugs (AEDs, 11.1%), falls and traumatic injuries (9.5%), intravenous line complications (9.5%), electrode-related (4.8%), status epilepticus (SE, 3.2%), and cardiac (1.6%) and psychiatric (1.6%) complications.There were significantly more AEs among patients with a younger age at disease onset (p = 0.005), a history of temporal lobe epilepsy (p = 0.046), a history of focal seizures with altered consciousness (p = 0.008), a history of SE (p = 0.022), use of a vagal nerve stimulator (p = 0.039), and intellectual disability (p = 0.016) and when the indication for EMU monitoring was noninvasive or invasive presurgical evaluation (p = 0.001). Adverse events occurred more frequently when patients had more events in the EMU (p = 0.001) and among those administered carbamazepine (p = 0.037), levetiracetam (p = 0.004), clobazam (p = 0.008), and sulthiame (p = 0.016). Patients with a history of psychogenic nonepileptic seizures (PNESs) had significantly fewer AEs (p = 0.013).Adverse events were not associated with the age, gender, duration of hospitalization or monitoring, AED withdrawal and renewal, seizure frequency by history, presence of major psychiatric comorbidities, abnormal neurological exam, or the presence of a lesion as on brain magnetic resonance imaging.In conclusion, this study reveals that AEs are not unusual in the EMU and that seizure clustering is the most common among them. Adverse events occur more frequently in patients with more severe epilepsy and intellectual disability and in patients undergoing presurgical evaluations and less frequently in patients with PNESs.     

Marijuana use in adults admitted to a Canadian epilepsy monitoring unit

ObjectivesEpidemiologic evidence supporting antiseizure properties of cannabis is limited and controversial. We determined the prevalence of marijuana use and its perceived effects in patients with and without epilepsy.MethodsInformation was collected over 14 months from consecutive adult patients admitted to an epilepsy monitoring unit using a 27-item anonymous questionnaire. Patients with cognitive impairment unable to understand the questions or give informed consent and readmissions were not recruited. Subjects were divided into 4 groups, those with epileptic seizures, those with psychogenic nonepileptic seizures (PNES), those with both epileptic and PNES, and those with other nonepileptic events. Patients with exclusively epileptic seizures were compared with those with exclusively PNES.ResultsFrom 310 patients, 18 undiagnosed cases were excluded leaving a cohort of 292 patients with median age 35 (range: 27–49) years; 57.2% female. Epilepsy was documented in 190 (65.1%), PNES in 64 (21.9%), and both types of seizures in 26 (8.9%). Median duration of seizure disorder was longer (2 [1–9] vs. 13 [5.7–25] years; p < 0.001) and seizure frequency lower (daily or weekly in 62.3% vs. 44.9%; p = 0.03) in patients with epilepsy compared with those in patients with PNES. Overall, 166 (57%) had tried marijuana, and 36.2% used it over the past year. Utilization was 57.1% in sole epilepsy and 64.1% in sole PNES, but daily use was more likely in epilepsy (59% vs. 33.3%). Estimated mean dose was 1 g/day. Marijuana use was associated with tobacco smoking (p < 0.001) but not alcohol use. Eight patients used other street drugs. Improvement in seizures was perceived by 84% in those with epilepsy and 72.7% in those with PNES. In the 2 groups, stress was decreased in 84.9% and 88%, sleep improved in 77.3% and 88%, and memory/concentration was better in 32% and 28%, respectively. Antiepileptic drug side effects were decreased in 53.2% of marijuana users. Perceived effect on epileptic seizures correlated with effect on stress (r = 0.35, p = 0.004). Adverse effects of marijuana were mild and reported in 30.7% but included possible seizure precipitation in 5 patients with epilepsy.SignificancePatients with uncontrolled epilepsy or nonepileptic events had a high rate of marijuana use with associated perceived improvements in seizure control, stress, sleep, and drug side effects. Stress reduction may contribute to the perceived impact of marijuana on seizures and nonepileptic events in adults.     

Deconstructing stigma in psychogenic nonepileptic seizures: An exploratory study

Psychogenic nonepileptic seizures (PNES) are classified as a mental disorder, the manifestations of which superficially resemble epileptic seizures.There is a notable lack of in-depth qualitative or quantitative studies investigating the stigma attached to PNES. The current study is an exploratory analysis into the nature of perceived stigma in those with PNES when compared with individuals with epilepsy. Individuals with epilepsy (n = 78) and PNES (n = 47) were recruited from a United Kingdom hospital or membership-led organizations for individuals living with seizures. Participants were asked to complete a series of questionnaires investigating health-related quality-of-life components (NEWQOL-6D), anxiety (GAD-7), depression (NDDI-E), seizure frequency and severity (LSSS-3), and illness perception (B-IPQ). Perceived stigma was measured using one question taken from the NEWQOL-6D. Individuals with PNES reported a greater level of perceived stigma than those with epilepsy (p = 0.04). Our results indicate that the risk of experiencing perceived stigma in PNES was 42% higher than the risk in epilepsy. In epilepsy, but not PNES, perceived stigma was significantly associated with seizure frequency, anxiety, depression, and many of the sequelae of the condition. In both conditions, self-control was associated with stigma (rho ≥ 0.34, p ≤ 0.01). This study was exploratory, and so definitive conclusions cannot be made; however, our findings suggest that the majority (87.2%) of individuals with PNES reported experiencing some degree of perceived stigma, the risk of which is greater than that in epilepsy. Further research is needed into the prevalence, nature, and consequences of stigma in PNES.     

Perceived stigma and adherence in epilepsy: Evidence for a link and mediating processes

ObjectiveThis study tested whether perceived epilepsy-related stigma is associated with adherence in people living with epilepsy and if information, motivation, and behavioral skills are potential pathways underlying the stigma–adherence link.MethodsWe surveyed persons living with epilepsy between the ages of 18 and 65 (N = 140) using an online questionnaire to assess medication adherence and perceived epilepsy-related stigma. In addition, participants reported their level of information, motivation, and behavioral skills.ResultsHigher perceived epilepsy-related stigma was associated with lower medication adherence (r = − 0.18, p < .05). Higher perceived stigma was associated with lower levels of information (r = − 0.28, p < .05), motivation (r = − 0.55, p < .05), and behavioral skills (r = − 0.41, p < .05), and the link between stigma and adherence was fully explained by information, motivation, and behavioral skills, i.e., the effect of stigma on adherence was fully mediated (c = − 0.18, p < .05 reduced to c′ = 0.06, p = .48).ConclusionPerceived epilepsy-related stigma is problematic for maintaining the prescribed medication regimen in people living with epilepsy. The information–motivation–behavioral skills model is a useful framework for understanding the pathways linking perceived stigma and adherence in this population.     

Social skills: Differences among adults with intellectual disabilities,co-morbid autism spectrum disorders and epilepsy

Assessing social skills is one of the most complex and challenging areas to study because behavioral repertoires vary depending on an individual's culture and context. However, researchers have conclusively demonstrated that individuals with intellectual disabilities (ID) have impaired social skills as well as those with co-morbid autism spectrum disorders (ASD) and epilepsy. However, it is unknown how these groups differ. Assessment of social skills was made with the Matson Evaluation of Social Skills for Individuals with Severe Retardation. One hundred participants with ID were matched and compared across four equal groups comprising 25 participants with ID, 25 participants with epilepsy, 25 participants with ASD, and 25 participants with combined ASD and epilepsy. When controlling for age, gender, race, level of ID, and hearing and visual impairments, significant differences were found among the four groups on the MESSIER, Wilks's Λ = .58, F(18, 257) = 3.05, p < .01. The multivariate η² based on Wilks's Λ was .17. Significant differences were found on the Positive Verbal subscale, F(3, 96) = 3.70, p < .01, η² = .10, Positive Non-verbal subscale, F(3, 96) = 8.95, p < .01, η² = .22, General Positive subscale, F(3, 96) = 7.30, p < .01, η² = .19, Negative Non-verbal subscale, F(3, 96) = 5.30, p < .01, η² = .14, and General Negative subscale, F(3, 96) = 3.16, p < .05, η² = .09. Based on these results, individuals with ID expressing combined co-morbid ASD and epilepsy had significantly more impaired social skills than the ID only or groups containing only a single co-morbid factor with ID (ASD or epilepsy only). Implications of these findings are discussed.     

Adult separation anxiety disorder in complicated grief: an exploratory study on frequency and correlates

IntroductionComplicated grief (CG) has been the subject of increasing attention in the past decades but its relationship with separation anxiety disorder (SEPAD) is still controversial. The aim of the current study was to explore the prevalence and clinical significance of adult SEPAD in a sample of help-seeking individuals with CG.Methods151 adults with CG, enrolled in a randomized controlled trial comparing the effectiveness of (CG) treatment to that of interpersonal therapy, were assessed by means of the Inventory of Complicated Grief (ICG), the Structured Clinical Interview for DSM-IV, the Hamilton Rating Scale for Depression (HAM-D), the Work and Social Adjustment Scale (WSAS), the Adult Separation Anxiety Questionnaire (ASA-27), the Grief Related Avoidance Questionnaire (GRAQ), the Peritraumatic Dissociative Experiences Questionnaire (PDEQ), and the Impact of Events Scale (IES).Results104 (68.9%) individuals with CG were considered to have SEPAD (ASA-27 score ≥22). Individuals with SEPAD were more likely to have reported a CG related to the loss of another close relative or friend (than a parent, spouse/partner or a child) (p = .02), as well as greater scores on the ICG (p = <.001), PDEQ (p = .004), GRAQ (p < .001), intrusion (p < .001) and avoidance (p = <.001) IES subscales, HAM-D (p < .001) and WSAS (p = .006). ASA-27 total scores correlated with ICG (p < .0001), PDEQ (p < .001) GRAQ (p < .0001) scores and both the IES intrusion (p < .0001) and IES avoidance (p < .0001) subscale scores. People with SEPAD had higher rates of lifetime post-traumatic stress disorder (PTSD) (p = .04) and panic disorder (PD) (p = .01).ConclusionsSEPAD is highly prevalent among patients with CG and is associated with greater symptom severity and impairment and greater comorbidity with PTSD and PD. Further studies will help to confirm and generalize our results and to determine whether adult SEPAD responds to CG treatment and/or moderates CG treatment response.     

Healthcare resource utilization after medium-term residential assessment for epilepsy and psychogenic nonepileptic seizures

IntroductionEpilepsy and epilepsy mimics may lead to high healthcare resource utilization (HRU) including diagnostic resources. The William Quarrier Scottish Epilepsy Centre (SEC) provides medium-term residential assessment (MTRA; average length of stay: 28 days) and treatment for complex presentations of epilepsy and related conditions (principally psychogenic nonepileptic seizures, PNES). We studied the effect of MTRA on HRU in a defined health board area in Scotland.MethodsA retrospective audit of individuals admitted to the SEC from a defined health board area using SEC and health board medical records. Neurological HRU assessed included emergency department visits, hospital admissions, outpatient clinic appointments, and brain imaging prior to and post-MTRA. Healthcare resource utilization was also compared with individuals referred but not admitted to the SEC because of individual circumstances and choice.ResultsSeventy-three individuals (51 female, average age: 37.51; 22 men, average age: 43.72) were identified from three years of admissions (1st April 2010 to 31st March 2013). Final diagnosis was epilepsy (ES), 32; ES and psychogenic nonepileptic seizures (ES + PNES), 17; and PNES alone, 24. Twenty-two individuals were identified as a comparison group (8 men, 14 women; average age: 37.21 and 43.90, respectively).Total average contacts per patient per year (CPY) was significantly different pre- and post-MTRA (4.16 vs. 1.32; t(72) = 6.11, p < .0001, d = .72).Comparison of HRU in the first year of baseline and last full year of follow-up showed a post-MTRA reduction in HRU for PNES of 92.28%, for ES of 46.81%, and for ES + PNES of 28.3%.During the course of follow-up, PNES CPY continued to drop (1.13 first year vs. 0.10 at 3 years post-MTRA). For individuals with epilepsy (with or without PNES), HRU use dropped significantly in the year after admission, and these gains remained stable (total first vs. third postdischarge CPY, 1.74 vs. 1.29).The participants in the comparison group, who were not admitted, had no comparable drop across the study period and were using significantly more resources at each follow-up point than those in the admitted group (F (1, 48) = 44.45, p < .01, η_p² = .49).ConclusionMedium-term residential assessment is associated with sustained reduction in HRU especially in patients with PNES. Overall HRU reduction was 68.27% following admission (d = .72). This suggests benefit from the MTRA model for people with complex presentations.     

Emotion processing bias and age of seizure onset among epilepsy patients with depressive symptoms

The current study examined whether mood-congruent biases in emotion processing extend to epilepsy patients with depressive symptoms and the potentially moderating effects of age of seizure onset on these biases. In addition, we examined associations between depression (Beck Depression Inventory — 2nd Edition; BDI-II) and quality of life (Quality of Life in Epilepsy — 10-item questionnaire; QOLIE-10). Data from 101 epilepsy patients were analyzed, including 61 females and 40 males. Measures included the Comprehensive Affect Testing System — Abbreviated (CATS-A), from which indices of mood-congruent bias were derived. A significant interaction between BDI-II raw scores and age of seizure onset was found for mood-congruent bias scores in the facial affect modality (β = − 0.24, p < .03). Beck Depression Inventory — 2nd Edition raw scores were significantly and positively correlated with quality of life (QOLIE-10; r = .69, p < .01). Results of the current study show that epilepsy patients with an early age of seizure onset may be most at risk for mood-congruent biases when experiencing depressive symptoms and that such symptoms have real-world implications for quality of life for persons living with epilepsy.