How to do things with words Two seminars on the naming of functional (psychogenic, non-epileptic, dissociative, conversion, …) seizures

Psychoeducation interventions for people with non-epileptic seizures: A scoping review

BACKGROUND

Cognitive behavioural therapy (CBT) and other psychological approaches have a growing evidence base for treating Non-Epileptic Seizures (NES). However, communication about the diagnosis can be difficult for clinicians and is not always well received. It is thought that Psychoeducation about NES may improve engagement with treatment such as CBT and may contribute to reductions in the frequency of seizures and improvements in health related quality of life. However, psychoeducational components of treatment are often not evaluated in isolation meaning the specific benefit to patients is not currently well understood.

AIMS

The researchers aimed to examine the outcomes associated with psychoeducational interventions and the content of these programmes for NES.

METHOD

A scoping review was undertaken across four databases with seventeen eligible studies identified which were charted to analyse the data.

RESULTS

Findings revealed that components and modalities of interventions varied as did methods of evaluating the interventions. A number of different outcome measures were used and not all studies reported the significance of findings. Results across studies were inconsistent; however, there was a general trend across the studies of symptom reduction and improvement in mental health.

CONCLUSIONS

Findings illustrate that psychoeducation has potential benefits as an intervention in its own right. However, it may be best placed as a second step in a stepped care model, between initial diagnosis and further psychological treatment. The present literature needs replication and more robust studies for more certain conclusions to be drawn.

Reflections on the CODES trial for adults with dissociative seizures: what we found and considerations for future studies

The COgnitive behavioural therapy versus standardised medical care for adults with Dissociative non-Epileptic Seizures multicentre randomised controlled trial is the largest, fully-powered study to test the clinical and cost-effectiveness of a psychotherapeutic intervention in this population. We also explored predictors or moderators of outcomes and investigated mechanisms of change in therapy. In this current review of findings, we discuss issues related to the design of the trial and consider the study's nested qualitative studies which were undertaken not only to shed light on the original research questions but to provide insights and recommendations for other researchers in the field of functional neurological disorder. Finally, we consider issues relating to the possible clinical application of our study findings.

"This is real", "this is hard" and "I'm not making it up": Experience of diagnosis and living with non-epileptic attack disorder

PURPOSE

To use a qualitative research approach to explore adults' experience of living with non-epileptic attack disorder.

OBJECTIVE

The objective was to explore the experience of adults (18 years+) with a confirmed diagnosis of non-epileptic attack disorder (NEAD) across the trajectory of the disorder. The topics investigated included the onset of symptoms, the experience of non-epileptic attacks, the diagnostic process and living with NEAD.

METHOD

Twelve people diagnosed with NEAD who attended a tertiary hospital neurology department took part in semi-structured interviews. The data generated were analysed using reflexive thematic analysis.

RESULTS

Eleven women and one man with median age of 25 years took part. Three themes were developed: mind-body (dis)connect, a stigmatised diagnosis and a role for containment. Adults spoke about their experience of nonepileptic attacks, the diagnostic and management process and the impact of both nonepileptic attacks and the NEAD diagnosis on their lives.

CONCLUSIONS

Adults' experience's within the healthcare system across the trajectory of NEAD influenced their own understanding and trust in their NEAD experience, how they shared this with others in their social and work lives and how they managed their NEAD symptoms on a daily basis. The research suggests the need for a consistent, timely implementation of a rule-in diagnostic approach and multi-disciplinary management of NEAD. It is recommended that lessons be taken from theoretical models including the common-sense model and a modified version of the reattribution model to support the de-stigmatisation of this diagnosis to inform psychoeducation and professionally facilitated peer-support groups.

An update on psychogenic nonepileptic seizures

PURPOSE OF REVIEW

The understanding of psychogenic nonepileptic seizures (PNES) has advanced steadily over recent decades. This update summarizes new insights from the last three years.

RECENT FINDINGS

The process of diagnosing PNES has shifted from the exclusion of epilepsy to one based on the recognition of typical clinical features. While the diagnosis cannot rely on any single feature in isolation, a range of semiological features characterising PNES are now recognised and a number of studies hint at the potential for machine learning and AI to improve the diagnostic process. Advances in data processing and analysis may also help to make sense of the heterogeneity of PNES populations demonstrated by recent studies focussing on aetiology and patient subgroups. It is now clear that PNES are associated with high rates of mental and physical comorbidities and premature death, highlighting that they are only one manifestation of a complex disorder extending beyond the nervous system and the seizures themselves.

SUMMARY

PNES are now understood as a manifestation of dysfunction in interacting brain networks. This understanding provides an explanation for the psychopathological and semiological heterogeneity of PNES patient populations. New insights into medical comorbidities and increased rates of premature death call for more research into associated pathological processes outside the nervous system.

Elevated Mortality Rate in Patients With Functional Seizures After Diagnosis and Referral

Background and Objectives

To evaluate the standardized mortality ratio (SMR) of patients in the United States referred to a multidisciplinary clinic for treatment of functional seizures.

Methods

We identified patients who had or had not died based on automated retrospective review of electronic health records from a registry of patients referred to a single-center multidisciplinary functional seizures treatment clinic. We calculated an SMR by comparing the number of observed deaths with the expected number of deaths in an age-matched, sex-matched, and race-matched population within the same state, and year records were available.

Results

A total of 700 patients with functional seizures (mean age 37 years, 78% female) were followed up for 1,329 patient-years for a median of 15 months per patient (interquartile range 6-37 months). We observed 11 deaths, corresponding to a mortality rate of 8.2 per 1,000 patient-years and an SMR of 2.4 (95% confidence interval: 1.17-4.22). Five of 9 patients with identified circumstances around their death were in hospice care when they passed. None of the identified causes of death were related to seizures directly.

Discussion

These data provide further evidence of elevated mortality in functional seizures soon after diagnosis and referral to treatment. These data from the decentralized health care system of the United States build on the findings from other countries with large-scale health registries.

Metaphoric language in the differential diagnosis of epilepsy and psychogenic non-epileptic seizures: Time to move forward

Conversation analysis (CA) to identify metaphoric language (ML) has been proposed as a tool for the differential diagnosis of epileptic (ES) and psychogenic nonepileptic seizures (PNES). However, the clinical relevance of metaphoric conceptualizations is not clearly defined. The current study aims to investigate the ML utilized by individuals with ES and PNES in a pulled multi-country sample. Two blinded researchers examined the transcripts and videos of 54 interviews of individuals (n = 29, Italy; n = 11, USA; n = 14, Russia) with ES and PNES, identifying the patient-seizure relationship representative of the patient's internal experience. The diagnoses were based on video-EEG. Metaphors were classified as "Space/place", "External force", "Voluntary action", and "Other". A total of 175 metaphors were identified. No differences between individuals with ES and PNES were found in metaphoric occurrence (χ2 (1, N = 54) = 0.07; p = 0.74). No differences were identified when comparing the types of metaphors utilized by participants with ES and those with PNES. Patients with PNES and ES did not demonstrate differences in terms of occurrence and categories in ML. Therefore, researchers and clinicians should carefully consider the use of metaphor conceptualizations for diagnostic purposes.

Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist

PURPOSE OF REVIEW

Machine Learning (ML) and Artificial Intelligence (AI) are data-driven techniques to translate raw data into applicable and interpretable insights that can assist in clinical decision making. Some of these tools have extremely promising initial results, earning both great excitement and creating hype. This non-technical article reviews recent developments in ML/AI in epilepsy to assist the current practicing epileptologist in understanding both the benefits and limitations of integrating ML/AI tools into their clinical practice.

RECENT FINDINGS

ML/AI tools have been developed to assist clinicians in almost every clinical decision including (1) predicting future epilepsy in people at risk, (2) detecting and monitoring for seizures, (3) differentiating epilepsy from mimics, (4) using data to improve neuroanatomic localization and lateralization, and (5) tracking and predicting response to medical and surgical treatments. We also discuss practical, ethical, and equity considerations in the development and application of ML/AI tools including chatbots based on Large Language Models (e.g., ChatGPT). ML/AI tools will change how clinical medicine is practiced, but, with rare exceptions, the transferability to other centers, effectiveness, and safety of these approaches have not yet been established rigorously. In the future, ML/AI will not replace epileptologists, but epileptologists with ML/AI will replace epileptologists without ML/AI.

Scoping review and expert-based consensus recommendations for assessment and management of psychogenic non-epileptic (functional) seizures (PNES) in children: A report from the Pediatric Psychiatric Issues Task Force of the International League Against Epilepsy

Limited guidance exists regarding the assessment and management of psychogenic non-epileptic seizures (PNES) in children. Our aim was to develop consensus-based recommendations to fill this gap. The members of the International League Against Epilepsy (ILAE) Task Force on Pediatric Psychiatric Issues conducted a scoping review adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-SR) standards. This was supplemented with a Delphi process sent to pediatric PNES experts. Consensus was defined as ≥80% agreement. The systematic search identified 77 studies, the majority (55%) of which were retrospective (only one randomized clinical trial). The primary means of PNES identification was video electroencephalography (vEEG) in 84% of studies. Better outcome was associated with access to counseling/psychological intervention. Children with PNES have more frequent psychiatric disorders than controls. The Delphi resulted in 22 recommendations: Assessment-There was consensus on the importance of (1) taking a comprehensive developmental history; (2) obtaining a description of the events; (3) asking about potential stressors; (4) the need to use vEEG if available parent, self, and school reports and video recordings can contribute to a "probable" diagnosis; and (5) that invasive provocation techniques or deceit should not be employed. Management-There was consensus about the (1) need for a professional with expertise in epilepsy to remain involved for a period after PNES diagnosis; (2) provision of appropriate educational materials to the child and caregivers; and (3) that the decision on treatment modality for PNES in children should consider the child's age, cognitive ability, and family factors. Comorbidities-There was consensus that all children with PNES should be screened for mental health and neurodevelopmental difficulties. Recommendations to facilitate the assessment and management of PNES in children were developed. Future directions to fill knowledge gaps were proposed.

White Matter Structural Connectivity and Its Impact on Psychogenic Non-Epileptic Seizures: An Evidence-Based Review

Psychiatric non-epileptic seizure (PNES), also known as a form of functional neurological disorders (FND), is a common but still underrecognized disorder presenting seizure-like symptoms and no electrophysiological abnormality. Despite the significant burden of this disorder, the neurobiological mechanisms are not clearly understood, which hinders the development of better diagnosis and treatment. In the recent neuroimaging research on PNES, brain network analysis has become a relevant topic beyond conventional methodologies. The human brain is a highly intricate system of interconnected regions that collaborate to facilitate a wide range of cognitive and behavioral functions. White matter tracts, which are comprised of bundles of axonal fibers, are the primary means by which information is transmitted between different brain regions. As such, comprehending the organization and structure of the brain's white matter network is critical for gaining insight into its functional architecture. This review article aims to provide an overview of the brain mechanisms underlying PNES, with a special focus on analyzing brain networks.

Dissociation in patients with epilepsy and functional seizures: A narrative review of the literature

Dissociation is a "disruption of the usually integrated functions of consciousness, memory, identity or perception of the environment" according to DSM-5.  It is commonly seen in psychiatric disorders including primary dissociative disorders, post-traumatic stress disorder, depression, and panic disorder. Dissociative phenomena are also described in the context of substance intoxication, sleep deprivation and medical illnesses including traumatic brain injury, migraines, and epilepsy. Patients with epilepsy have higher rates of dissociative experiences as measured on the Dissociative Experiences Scale compared to healthy controls. Ictal symptoms, especially in focal epilepsy of temporal lobe origin, may include dissociative-like experiences such as déjà vu/jamais vu, depersonalization, derealization and what has been described as a "dreamy state".  These descriptions are common in the setting of seizures that originate from mesial temporal lobe epilepsy and may involve the amygdala and hippocampus. Other ictal dissociative phenomena include autoscopy and out of body experiences, which are thought to be due to disruptions in networks responsible for the integration of one's own body and extra-personal space and involve the temporoparietal junction and posterior insula. In this narrative review, we will summarize the updated literature on dissociative experiences in epilepsy, as well as dissociative experiences in functional seizures. Using a case example, we will review the differential diagnosis of dissociative symptoms. We will also review neurobiological underpinnings of dissociative symptoms across different diagnostic entities and discuss how ictal symptoms may shed light on the neurobiology of complex mental processes including the subjective nature of consciousness and self-identity.

A global survey on the attitudes of neurologists and psychiatrists about functional/psychogenic/dissociative/nonepileptic-seizures/attacks, in the search of its name

PURPOSE

We conducted an observational study to investigate the opinions of neurologists and psychiatrists all around the world who are taking care of patients with seizures [epilepsy and functional seizures (FS)].

METHODS

Practicing neurologists and psychiatrists from around the world were invited to participate in an online survey. On 29th September 2022, an e-mail including a questionnaire was sent to the members of the International Research in Epilepsy (IR-Epil) Consortium. The study was closed on 1st March 2023. The survey, conducted in English, included questions about physicians' opinions about FS and anonymously collected data.

RESULTS

In total, 1003 physicians from different regions of the world participated in the study. Both neurologists and psychiatrists identified "seizures" as their preferred term. Overall, the most preferred modifiers for "seizures" were "psychogenic" followed by "functional" by both groups. Most participants (57.9%) considered FS more difficult to treat compared to epilepsy. Both psychological and biological problems were considered as the underlying cause of FS by 61% of the respondents. Psychotherapy was considered the first treatment option for patients with FS (79.9%).

CONCLUSION

Our study represents the first large-scale attempt of investigating physicianś attitudes and opinions about a condition that is both frequent and clinically important. It shows that there is a broad spectrum of terms used by physicians to refer to FS. It also suggests that the biopsychosocial model has gained its status as a widely used framework to interpret and inform clinical practice on the management of patients.

The natural history of terms describing functional (neurological) disorders in the medical literature of the last 60 years

BACKGROUND

Functional neurological disorders (FND), a subtype of functional disorders (FD), are a frequent motive for neurology referrals. The various presentations and the unknown physiopathology of FD have led to the multiplication of terms describing these disorders over the years.

METHODS

We examined the FD-related articles published from 1960 to 2020 in PubMed and PsycINFO databases. We searched for: psychogenic, somatization, somatoform, medically unexplained symptoms, hysteria, conversion disorder, dissociative, functional neurological disorder, and functional disorder. Use rates in the title, abstract, keyword, or MeSH fields were collected over successive 5-year periods. After correcting for off-topic results, we examined proportional distribution over time, term associations, and disciplinary fields (neurology and psychiatry). Term impact was estimated via H-index and number of citations.

RESULTS

We found that none of the terms is prevailing in the recent medical literature. We observed three trends in the use rates: stability, increase, and decrease of use over time. While most of the terms were present in a stable proportion of the publications, hysteria and psychogenic lost popularity over time. We found a differential preference for terminology between disciplines. Functional neurological disorder showed the highest citation impact, yielding 10% of highly cited publications.

CONCLUSION

We found a dynamic and evolving use of the different terms describing FD in the last 60 years. Despite the tendency to use the term functional in the recent highly cited publications, its low prevalence and coexistence with several other terms suggest that a precise, explanatory and non-offensive term remains yet to be found.

Seizures and pseudoseizures: The great divide

Patients who display the neurological phenomena variously referred to as pseudoseizures, dissociative seizures, or psychogenic non-epileptic seizures present an important problem in the treatment of epilepsy. Their convulsive or non-convulsive episodes show no epileptiform activity on electroencephalography but are distressing and debilitating to patients so afflicted, and can be difficult to distinguish from classical epilepsy. It is important to make this distinction, as the treatment for pseudoseizures is typically cognitive behavioral therapy rather than anticonvulsant medication. This review describes the clinical differences in the signs and symptoms of patients with pseudoseizures vs classical epileptic seizures, as well as the underlying mechanisms triggering pseudoseizures, and the outcomes achieved with the treatment paradigms currently available for them.

Psychogenic non-epileptic seizures: Chronology of multidisciplinary team approach to diagnosis and management

While the diagnosis and management of psychogenic non-epileptic seizures (PNES) remain challenging, certain evidence-based guidelines exist, which can help to optimize patient care. A multidisciplinary team approach appears to have many benefits. Current recommendations exist for some aspects of diagnosis and management of PNES, including levels of diagnostic certainty as proposed by the International League Against Epilepsy's expert Task Force on PNES. Other aspects of clinical still care lack clear consensus, including use of suggestion techniques for recording PNES and optimal terminology, since the term "functional seizures" has recently been proposed as a possible term to replace "PNES". The present article aims to (1) review current recommendations and (2) discuss our own team's experience in managing patients with PNES. This is organized chronologically in terms of the roles of the neurologist, psychiatrist and psychologist, and discusses diagnostic issues, psychiatric assessment and treatment, and psychotherapeutic approaches.