Psychogenic nonepileptic seizures in adults with epilepsy and intellectual disability: A neglected area

Psychogenic non-epileptic seizures in individuals with intellectual disability/borderline cognitive function: Characterization through a comparison study

PURPOSE

We set out to characterize psychogenic non-epileptic seizures (PNES) in individuals with either intellectual disability (ID) or borderline intellectual function (BIF) in comparison to those with normal cognitive function. We aimed to identify differences between the two groups to improve clinical management protocols.

METHODS

We conducted a retrospective, observational, single-center study. The medical records of individuals (aged ≥ 14 years) diagnosed with PNES, confirmed through video-electroencephalography (vEEG) at a specialized epilepsy center between January 2008 and December 2021, were reviewed. We restricted our study to individuals who underwent comprehensive neuropsychological evaluations. Furthermore, demographic, clinical, and neuropsychological data with potential prognostic indicators, alongside the reevaluation of vEEG recordings were studied. We compared two study groups based on intelligence quotient (IQ): individuals without ID (IQ≥85; n = 25) and those with either mild ID or BIF (n = 25).

RESULTS

No statistically significant clinical differences were observed between the two groups. Individuals with mild ID/BIF didn't show a longer diagnostic delay, and the prescription of inappropriate antiseizure medications (ASMs) was comparable in both cohorts. Most individuals with mild ID/BIF were treated with behavioral psychotherapeutic approaches with similar outcomes in both subgroups.

CONCLUSIONS

Individuals with mild ID/BIF and PNES don't differ in clinical management. Demographic and clinical data, as well as semiology, were comparable to those of individuals with normal cognitive function. Cognitive behavioral therapy (CBT) appears to be an effective treatment approach for individuals with and without mild ID/BIF. Further studies are needed to validate and ascertain their possible applicability in individuals with moderate/severe ID.

Experimental assessment of seizure-like behaviors in a girl with Rett syndrome

Contextual events are recognized to affect seizure-like behaviors, yet there is limited research on procedures assessing contextual control. This study aimed to examine the utilization of a brief experimental precursor functional analysis within a clinical team assessment. Furthermore, the study explored if telehealth supervision could guide a parent administered replication of the functional analysis. The participants were a young female with Rett syndrome and a history of epilepsy as well as non-epileptic seizures and her mother. The functional analysis procedures consisted of the systematic alternations of contextual conditions that were hypothesized to either prevent or evoke seizure-like behaviors. The primary outcome measure was the occurrence of behavioral precursors that were identified to consequently signal subsequent seizure-like behaviors. In addition, procedure fidelity and interobserver agreement data were obtained alongside parent rating of the procedure's social validity. The clinical functional analysis clearly suggested that the seizure-like behaviors served the function of access to attention and preferred activities. A parent administered functional analysis replicated clinical functional analysis findings. The parent's fidelity to procedures was high and scores in social validity were excellent. The results show that functional analysis procedures could provide essential information in assessment of non-epileptic seizures. Strengths and limitations are discussed.

Psychogenic non-epileptic seizures and functional motor disorders in developmental age: A comparison of clinical and psychopathological features

BACKGROUND

Psychogenic Non-Epileptic Seizures (PNES) and Functional Motor Disorders (FMDs) commonly represent the main clinical manifestations of Functional Neurological Disorders (FNDs). Despite their high prevalence in pediatric neurological services, literature on this topic is still spare for this population. The present study aimed to deepen the clinical knowledge of a pediatric FNDs sample through a demographic and clinical characterization of the most recurrent clinical patterns during the pediatric age. Moreover, a comparison of neuropsychological and psychopathological profiles of PNES and FMD patients was carried out to identify specific vulnerabilities and therapeutic targets linked with these different clinical manifestations.

MATERIALS AND METHODS

A total of 43 FNDs patients (age range 7-17 years old) were retrospectively included in our study, enrolled in two subgroups: 20 with FMDs and 23 with PNES diagnosis. They were inpatients and outpatients referred over a period of 5 years and a standardized neurological, neuropsychological (WISC-IV/WAIS-IV), and psychiatric (CDI-2, MASC-2, ADES, DIS-Q, PID-5) evaluation was assessed.

RESULTS

In PNES patients the most common clinical phenotypes were functional tonic-clonic (52%) and atonic (32%) manifestations while in the FMDs group were gait alterations (60%), functional myoclonus (35%), and tremor (35%). A higher frequency of cognitive impairment was reported in PNES patients with higher anxiety-depressive symptom rates than FMDs patients.

CONCLUSIONS

Notably, specific neurocognitive and psychopathological profiles were described in PNES and FMDs, highlighting higher cognitive and psychiatric vulnerabilities in PNES, suggesting as well different strategy for therapeutic approaches.

Factors associated with comorbid epilepsy in patients with psychogenic nonepileptic seizures: A large cohort study

OBJECTIVE

Comorbid epilepsy and psychogenic nonepileptic seizures (PNES) occur in 12-22% of cases and the diagnosis of both simultaneous disorders is challenging. We aimed to identify baseline characteristics that may help distinguish patients with PNES-only from those with comorbid epilepsy.

METHODS

We performed a longitudinal cohort study on those patients diagnosed with PNES in our epilepsy monitoring unit (EMU) between May 2001 and February 2011, prospectively followed up until September 2016. Patients were classified into PNES-only, PNES + possible or probable epilepsy, and PNES + definite epilepsy based on the clinical, vEEG, and neuroimaging data. Demographic and basal clinical data were obtained from chart review. Multiple regression models were performed to identify significant predictors of PNES + definite epilepsy, excluding patients with only possible or probable epilepsy for this specific analysis.

RESULTS

One-hundred and ninety four patients with PNES-only, 30 with PNES + possible or probable epilepsy and 47 with PNES + definite epilepsy were included. 73.8% were female and the mean age at EMU admission was 37.4 ± standard deviation 13.5 years. Patients with PNES + definite epilepsy most likely had never worked, had history of febrile seizures, structural brain lesions, developmental disabilities, and maximum reported seizure duration between 0.5 and 2 min. Patients with PNES-only were on fewer anti-seizure medications (ASM), reported more frequently an initial minor head trauma, seizures longer than 10 min, and a higher number of neurological and medical illnesses - being migraine (18.1%), other types of headaches (18.5%), and asthma (15.5%) the most prevalent ones. All p < 0.05. On the hierarchical regression analysis, history of febrile seizures, developmental disabilities, brain lesions, longest reported seizure duration between 0.5 and 2 min, and lack of neurological comorbidity, remained as significant predictors of PNES + epilepsy. The model's performance of a 5-fold cross-validation analysis showed an overall accuracy of 84.7% to classify patients correctly.

CONCLUSIONS

Some demographic and clinical characteristics may support the presence of comorbid epilepsy in patients with PNES, being unemployment, the presence of brain lesions, developmental disabilities, history of febrile seizures, seizure duration and lack of comorbid headaches the most relevant ones.

Using Semiology to Classify Epileptic Seizures vs Psychogenic Nonepileptic Seizures: A Meta-analysis

Background and objectives:

Misdiagnosis of psychogenic nonepileptic seizures (PNES) and epileptic seizures (ES) is common. In the absence of the diagnostic gold standard (video EEG), clinicians rely on semiology and clinical assessment. However, questions regarding the diagnostic accuracy of different signs remain. This meta-analysis aims to evaluate the diagnostic accuracy of semiology in PNES and ES.

Methods:

We systematically searched PubMed, PsycInfo and Medline for original research publications published before 8 February 2021 with no restriction on search dates to identify studies that compared semiology in ES and PNES in epilepsy monitoring units. Non-English publications, review articles, studies reporting on only PNES or ES and studies limited to patients with developmental delay were excluded. Study characteristics and proportions of ‘event groups’ and ‘patient groups’ demonstrating signs were extracted from each article. Bivariate analysis was conducted, and data were pooled in a random effects model for meta-analysis. The I2 statistic was calculated to assess statistical heterogeneity. The QUADAS-2 tool was utilized to assess risk of bias in included studies. The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were calculated. A PLR > 10 or an NLR < 0.1 has a large impact on the post-test probability of a diagnosis (ES or PNES) whereas a PLR between 5-10 or an NLR between 0.1- 0.2 has a moderate impact on the post-test probability of a diagnosis (ES or PNES).

Results:

The meta-analysis included 14 studies comprising of 800 patients with ES and 452 patients with PNES. For PNES, ictal eye closure (PLR 40.5 95%CI: 16.2-101.3; I2 = 0, from three studies) and asynchronous limb movements (PLR 10.2; 95%CI: 2.8-37.7; I2 = 0, from three studies) reached a PLR threshold > 5. No single sign reached a PLR threshold >5 for ES.

Conclusions:

While all signs require interpretation in the overall clinical context, the presence of ictal eye closure and asynchronous limb movements are reliable discriminative signs for PNES.

What do we know about non-epileptic seizures in adults with intellectual disability: A narrative review

Psychogenic non-epileptic seizures (PNES) superficially resemble epileptic seizures, but are not associated with abnormal electrical activity in the brain. PNES are a heterogeneous entity and while there is increasing interest in the characterisation of PNES sub-groups, little is known about individuals with PNES who have an intellectual disability (ID). ID is a lifelong condition characterised by significant limitations in cognitive, social and practical skills. ID (commonly with comorbid epilepsy) has been identified as a risk factor for developing PNES. However, people with ID are often excluded from research in PNES. This has unfortunately resulted in a lack of evidence to help inform practice and policy for this population. This narrative review synthesises the currently available evidence in terms of the epidemiology, demographic and clinical profile of adults with PNES and ID. There is a particular focus on demographics, aetiological factors, PNES characteristics, diagnosis and treatment of the condition in this population. Throughout this article, we critique the existing evidence, discuss implications for clinical practice and highlight the need for further research and enquiry. What emerges from the evidence is that, even within the sub-group of those with ID, PNES are a heterogeneous condition. Individuals with ID and PNES are likely to present with diverse and complex needs requiring multidisciplinary care. This review is aimed at the broad range of healthcare professionals who may encounter this group. We hope that it will stimulate further discussion and research initiatives.

[The problem of comorbidity of epilepsy and psychogenic paroxysms]

A review of publications over the last two decades is presented. Psychogenic paroxysms develop in approximately 12% of patients with epilepsy. The analysis of social and demographic data, history details, semiological features and results of electrophysiological and neuroimaging studies does not unequivocally support the comorbidity of epilepsy and psychogenic paroxysms. The pathogenetic mechanisms of the development of comorbidity are various and depend on the presence of pharmacoresistance, psychological traumas in the past, intellectual disability etc. Video-EEG-monitoring is the gold standard in the diagnosis of comorbidity of epilepsy and psychogenic paroxysms. Treatment of such cases includes anticonvulsants and cognitive-behavioral therapy.