Somatization, dissociation and general psychopathology in patients with psychogenic non-epileptic seizures

[Functional neurological disorders: A clinical anthology]

Functional neurological disorders have a broad phenotypic spectrum and include different clinical syndromes, which are sometimes associated to each other or appear consecutively over the course of the disease. This clinical anthology provides details on the specific and sensitive positive signs that are to be sought in the context of a suspected functional neurological disorder. Beside these positive elements leading to the diagnosis of functional neurological disorder, we should keep in mind the possibility of an associated organic disorder as the combination of both organic and functional disorders is a relatively frequent situation in clinical practice. Here we describe the clinical characteristics of different functional neurological syndromes: motor deficits, abnormal hyperkinetic and hypokinetic movements, voice or speech disorders, sensory disorders, and functional dissociative seizures. The clinical examination and the identification of positive signs play a critical role in the diagnosis of functional neurological disorder. Knowledge of the specific signs associated with each phenotype render possible to make an early diagnosis. For that matter, it contributes to the improvement of patient care management. It allows to a better engagement in an appropriate care pathway, which influence their prognosis. Highlighting and discussing positive signs with patients can also be an interesting step in the process of explaining the disease and its management.

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.

Dissociation and its biological and clinical associations in functional neurological disorder: systematic review and meta-analysis

BACKGROUND

Studies have reported elevated rates of dissociative symptoms and comorbid dissociative disorders in functional neurological disorder (FND); however, a comprehensive review is lacking.

AIMS

To systematically review the severity of dissociative symptoms and prevalence of comorbid dissociative disorders in FND and summarise their biological and clinical associations.

METHOD

We searched Embase, PsycInfo and MEDLINE up to June 2021, combining terms for FND and dissociation. Studies were eligible if reporting dissociative symptom scores or rates of comorbid dissociative disorder in FND samples. Risk of bias was appraised using modified Newcastle-Ottawa criteria. The findings were synthesised qualitatively and dissociative symptom scores were included in a meta-analysis (PROSPERO CRD42020173263).

RESULTS

Seventy-five studies were eligible (FND n = 3940; control n = 3073), most commonly prospective case-control studies (k = 54). Dissociative disorders were frequently comorbid in FND. Psychoform dissociation was elevated in FND compared with healthy (g = 0.90, 95% CI 0.66-1.14, I² = 70%) and neurological controls (g = 0.56, 95% CI 0.19-0.92, I² = 67%). Greater psychoform dissociation was observed in FND samples with seizure symptoms versus healthy controls (g = 0.94, 95% CI 0.65-1.22, I² = 42%) and FND samples with motor symptoms (g = 0.40, 95% CI -0.18 to 1.00, I² = 54%). Somatoform dissociation was elevated in FND versus healthy controls (g = 1.80, 95% CI 1.25-2.34, I² = 75%). Dissociation in FND was associated with more severe functional symptoms, worse quality of life and brain alterations.

CONCLUSIONS

Our findings highlight the potential clinical utility of assessing patients with FND for dissociative symptomatology. However, fewer studies investigated FND samples with motor symptoms and heterogeneity between studies and risk of bias were high. Rigorous investigation of the prevalence, features and mechanistic relevance of dissociation in FND is needed.

Psychogenic nonepileptic seizures: clinical characteristics and outcome

BACKGROUND

Clinical characteristics, outpatient situation, and outcome in patients with psychogenic nonepileptic seizures (PNES) remain to be elucidated.

METHODS

Patients diagnosed with PNES after video-electroencephalography (EEG) monitoring (VEM) 03/2000-01/2016 at the Erlangen Epilepsy Center were surveyed between June 2016 and February 2017. Primary outcome was PNES cessation defined as no PNES episodes within > = 12 months prior to the interview. Secondary outcome variables included quality of life (QoL) and dependency. Sensitivity analysis included patients with proven PNES during VEM without comorbid epilepsy.

RESULTS

Ninety-nine patients were included (median age 38 (interquartile range (IQR 29-52)) years; 68 (69%) females, follow-up 4 (IQR 2.1-7.7) years). Twenty-eight (28%) patients suffered from comorbid epilepsy. Twenty-five (25%) patients reported PNES cessation. Older age at symptom onset (odds ratio (OR) related to PNES cessation: 0.95 (95% CI 0.90-0.99)), comorbid epilepsy (OR 0.16 (95% CI 0.03-0.83)), anxiety disorder (OR 0.15 (95% CI 0.04-0.61)), and tongue biting (OR 0.22 (95% CI 0.03-0.91)) remained independently associated with ongoing PNES activity after adjustment. Sensitivity analysis (n = 63) revealed depressive disorder (OR 0.03 (95% CI 0.003-0.34)) instead of anxiety as independent predictor, while this seemed relevant only in patients older than 26 years at onset (OR 0.04 (95% CI 0.002-0.78) versus OR 0.21 (95% CI 0.02-1.84) in patients  younger than 26 years). PNES cessation was associated with increased median QoL (8 (IQR 7-9) versus 5.5 (IQR 4-7); p < .001) and an increased frequency of financial independency (14 (56%) versus 21 (28%); p = .01).

CONCLUSIONS

We found poor outcomes in PNES especially in older patients at onset with comorbid depressive disorder. Comorbid epilepsy also seems to be a major risk factor of ongoing PNES activity, which in turn affects patients' daily living.

Quality of life for patients with psychogenic nonepilepsy seizures in comparison with age- and gender-matched patients with epilepsy - Cross-sectional study

AIMS

Patients with psychogenic nonepileptic seizures (PNES), and age- and gender-matched patients with epilepsy (PWE) who utilized an out-patient service were compared regarding quality of life (QoL) and self-reported symptoms of depression. Additionally, the impact of miscellaneous clinical variables including symptoms of depression on QoL in patients with PNES and PWE in real-world settings was assessed.

SUBJECTS AND METHODS

Adult patients who had a diagnosis of definite or documented PNES based on LaFrance's criteria (PNES group, n = 62), or of epilepsy based on results of clinical and EEG procedures (Epilepsy group, n = 61) were enrolled. To assess QoL and evaluate depression, the Quality of Life in Epilepsy Inventory-10 (QOLIE-10) and Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), respectively, were administered.

RESULTS

Comparisons between the groups revealed a shorter duration of illness and fewer number of attacks in patients with PNES as compared to the Epilepsy group (p < 0.0001; p = 0.0003, respectively). There was no significant difference between the groups revealed by the QOLIE-10 (p = 0.141), while the patients with PNES tended to have higher NDDI-E scores (p = 0.068). Multiple regression analysis of QOLIE-10 results in the PNES group revealed that NDDI-E score was the sole significant contributor (β = -0.425 p = 0.001). In contrast, NDDI-E score as well as attack frequency had a significant impact on QOLIE-10 results in the Epilepsy group (β = -0.283 p = 0.026; β = -0.272 p = 0.031, respectively).

CONCLUSION

In PWE and patients with PNES who utilized an out-patient service, QoL did not differ significantly between those groups. For treating PNES, psychosocial factors may be a more appropriate indicator of therapeutic goal than attack frequency.

Functional (psychogenic non-epileptic/dissociative) seizures: why and how?

Functional seizures (FS) known also as psychogenic non-epileptic seizures or dissociative seizures, present with ictal semiological manifestations, along with various comorbid neurological and psychological disorders. Terminology inconsistencies and discrepancies in nomenclatures of FS may reflect limitations in understanding the neuropsychiatric intricacies of this disorder. Psychological and neurobiological processes of FS are incompletely understood. Nevertheless, important advances have been made on underlying neuropsychopathophysiological mechanisms of FS. These advances provide valuable information about the underlying mechanisms of mind-body interactions. From this perspective, this narrative review summarises recent studies about aetiopathogenesis of FS at two levels: possible risk factors (why) and different aetiopathogenic models of FS (how). We divided possible risk factors for FS into three categories, namely neurobiological, psychological and cognitive risk factors. We also presented different models of FS based on psychological and neuroanatomical understanding, multilevel models and integrative understanding of FS. This work should help professionals to better understand current views on the multifactorial mechanisms involved in the development of FS. Shedding light on the different FS profiles in terms of aetiopathogenesis will help guide how best to direct therapy, based on these different underlying mechanisms.

Evidence-Based Practice for the Clinical Assessment of Psychogenic Nonepileptic Seizures: A Report From the American Neuropsychiatric Association Committee on Research

The American Neuropsychiatric Association's Committee on Research assigned the task of defining the most helpful clinical factors and tests in establishing the diagnosis of psychogenic nonepileptic seizures (PNES) during a neuropsychiatric assessment. A systematic review of the literature was conducted using three search engines and specified search terms for PNES and the predetermined clinical factors and diagnostic tests, followed by a selection process with specific criteria. Data extraction results from selected articles are presented for clinical factors (semiology, psychiatric comorbidities, medical comorbidities, psychological traits) and diagnostic tests (EEG, psychometric and neuropsychological measures, prolactin level, clinical neuroimaging, autonomic testing). Semiology with video EEG (vEEG) remains the most valuable tool to determine the diagnosis of PNES. With the exception of semiology, very few studies revealed the predictive value of a clinical factor for PNES, and such findings were isolated and not replicated in most cases. Induction techniques, especially when coupled with vEEG, can lead to a captured event, which then confirms the diagnosis. In the absence of a captured event, postevent prolactin level and personality assessment can support the diagnosis but need to be carefully contextualized with other clinical factors. A comprehensive clinical assessment in patients with suspected PNES can identify several clinical factors and may include a number of tests that can support the diagnosis of PNES. This is especially relevant when the gold standard of a captured event with typical semiology on vEEG cannot be obtained.

Validation of the PHQ-9 in adults with dissociative seizures

BACKGROUND

The PHQ-9 is a self-administered depression screening instrument. Little is known about its utility and accuracy in detecting depression in adults with dissociative seizures (DS).

OBJECTIVES

Using the Mini - International Neuropsychiatric Interview as a reference, we evaluated the diagnostic accuracy of the PHQ-9 in adults with DS, and examined its convergent and discriminant validity and uniformity.

METHODS

Our sample comprised 368 people with DS who completed the pre-randomisation assessment of the CODES trial. The uniformity of the PHQ-9 was determined using factor analysis for categorical data. Optimal cut-offs were determined using the area under the curve (AUC), Youden Index, and diagnostic odds ratio (DOR). Convergent and discriminant validity were assessed against pre-randomisation measures.

RESULTS

Internal consistency of the PHQ-9 was high (α = 0.87). While the diagnostic odds ratio suggested that a cut-off of ≥10 had the best predictive performance (DOR = 14.7), specificity at this cut off was only 0.49. AUC (0.74) and Youden Index (0.48) suggested a ≥ 13 cut-off would yield an optimal sensitivity (0.81) and specificity (0.67) balance. However, a cut-off score of ≥20 would be required to match specificity resulting from a cut-off of ≥13 in other medical conditions. We found good convergent and discriminant validity and one main factor for the PHQ-9.

CONCLUSIONS

In terms of internal consistency and structure, our findings were consistent with previous validation studies but indicated that a higher cut-off would be required to identify DS patients with depression with similar specificity achieved with PHQ-9 screening in different clinical and non-clinical populations.

Clinical predictors of discordance between screening tests and psychiatric assessment for depressive and anxiety disorders among patients being evaluated for seizure disorders

OBJECTIVE

This study was undertaken to identify factors that predict discordance between the screening instruments Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and Generalized Anxiety Disorder scale (GAD-7), and diagnoses made by qualified psychiatrists among patients with seizure disorders. Importantly, this is not a validation study; rather, it investigates clinicodemographic predictors of discordance between screening tests and psychiatric assessment.

METHODS

Adult patients admitted for inpatient video-electroencephalographic monitoring completed eight psychometric instruments, including the NDDI-E and GAD-7, and psychiatric assessment. Patients were grouped according to agreement between the screening instrument and psychiatrists' diagnoses. Screening was "discordant" if the outcome differed from the psychiatrist's diagnosis, including both false positive and false negative results. Bayesian statistical analyses were used to identify factors associated with discordance.

RESULTS

A total of 411 patients met inclusion criteria; mean age was 39.6 years, and 55.5% (n = 228) were female. Depression screening was discordant in 33% of cases (n = 136/411), driven by false positives (n = 76/136, 56%) rather than false negatives (n = 60/136, 44%). Likewise, anxiety screening was discordant in one third of cases (n = 121/411, 29%) due to false positives (n = 60/121, 50%) and false negatives (n = 61/121, 50%). Seven clinical factors were predictive of discordant screening for both depression and anxiety: greater dissociative symptoms, greater patient-reported adverse events, subjective cognitive impairment, negative affect, detachment, disinhibition, and psychoticism. When the analyses were restricted to only patients with psychogenic nonepileptic seizures (PNES) or epilepsy, the rate of discordant depression screening was higher in the PNES group (n = 29, 47%) compared to the epilepsy group (n = 70, 30%, Bayes factor for the alternative hypothesis = 4.65).

SIGNIFICANCE

Patients with seizure disorders who self-report a variety of psychiatric and other symptoms should be evaluated more thoroughly for depression and anxiety, regardless of screening test results, especially if they have PNES and not epilepsy. Clinical assessment by a qualified psychiatrist remains essential in diagnosing depressive and anxiety disorders among such patients.

Psychogenic Nonepileptic Seizures in Patients With Epilepsy: A Comparative Study With Patients With Pure Epilepsy

ABSTRACT

Psychogenic nonepileptic seizures (PNES) represent management challenges, especially if associated with epilepsy. We aimed to evaluate patients with mixed epilepsy (true and PNES) and compare them with pure epilepsy to identify predictors of psychogenic seizures. This study included 40 patients with pure epilepsy and 40 patients with mixed epilepsy matched in age and sex. Patients underwent neurological assessment, semistructured psychiatric clinical interview, and video electroencephalogram monitoring. We found that unemployment, divorce, and seizure frequency were higher in mixed epilepsy, as well as history of family dysfunction, child adversity, and depressive and dissociative disorders. Both groups were similar regarding family history for seizures and personality dysfunction scores. Family dysfunction, child adversity, and depressive disorders were predictors of PNES. We recommend early evaluation for social instability, family dysfunction, child adversity, and depressive disorders in epileptic patients with higher seizure frequency to avoid misdiagnosis of false drug-resistant epilepsy and enhance proper management.

Demographic and clinical phenotypic differences between people with dissociative seizures and those with other psychiatric disorders

BACKGROUND

A large amount of literature surrounds the differences between dissociative neurological symptom disorder with non-epileptic seizures (DNSD-S) and epilepsy.

AIMS

To explore the research gap on phenotypic differences between DNSD-S and other psychiatric disorders.

METHOD

We conducted a case-control study of 1860 patients (620 patients with DNSD-S and 1240 controls with other psychiatric disorders) seen at the South London and Maudsley Hospital NHS Trust between 2007 and 2019.

RESULTS

Compared with the controls, the patients with DNSD-S were more likely to be female (76 v. 47%, P < 0.001), of White ethnicity (77 v. 60%, P < 0.001), married (34 v. 14%, P < 0.001) and living in areas of lower socioeconomic status (-3.79, 95% CI -2.62 to -4.96, P < 0.001). Two peaks for age at diagnosis were observed for DNSD-S: the early 20s and late 40s. After 31 years of age, men's chance of being diagnosed with DNSD-S increased from 19 to 28% (P = 0.009). People with DNSD-S presented more commonly with a history of a neurological episodic or paroxysmal disorder (OR = 12, 95% CI 7.82-20.26), another dissociative disorder (OR = 10, 95% CI 1.64- 65.95) or unclassified signs or symptoms (OR = 4, 95% CI 2.61-6.43). Neither anxiety, depression nor other somatoform disorders predicted subsequent diagnosis of DNSD-S, and controls had a larger proportion of preceding psychiatric diagnoses than patients with DNSD-S (65 v. 49%, P < 0.001).

CONCLUSIONS

This is the first study comparing demographic and phenotypic correlates of patients with DNSD-S against a large cohort of psychiatric patients. These data will inform development and drive service needs in psychiatry for people with DNSD-S.

Clinical identification of psychogenic nonepileptic events using combinations of psychological tests in a veteran sample

OBJECTIVE

Patients with psychogenic nonepileptic events (PNEE) exhibit heterogenous symptoms and are best diagnosed with long-term video-electroencephalogram (vEEG) data. While extensive univariate data suggest psychological tests may confirm the etiology of PNEE, the multivariate discriminant utility of psychological tests is less clear. The current study aggregated likelihood ratios of multiple psychological tests to evaluate incremental and discriminant utility for PNEE.

METHODS

Veterans with vEEG-diagnosed PNEE (n = 166) or epileptic seizures (n = 92) completed self-report measures and brief neuropsychological evaluations during the 4-day vEEG hospitalization. Receiver operating characteristic (ROC) curves identified discriminating psychological tests and corresponding cut-scores (0.85 minimum specificity). Likelihood ratios from the remaining cut-scores were sequentially linked using the sample base rate of PNEE (64%) and alternative base rates (10%, 20%, 30%, 40%) to estimate posttest probabilities (PTP) of test combinations.

RESULTS

The Health Attitudes Survey, Health History Checklist, and Minnesota Multiphasic Personality Inventory-2-Restructured Form scales FBS-r, RC1, MLS, and NUC were identified as discriminating indicators of PNEE. Average PTPs were ≥90% when three or more indicators out of six administered were present at the sample base rate. Regardless of PNEE base rate, PTP for PNEE was ≥98% when all discriminating indicators were present and 92-99% when five of six indicators administered were present. PTPs were largely consistent with observed positive predictive values, particularly as indicators present increased.

SIGNIFICANCE

Aggregating psychological tests identified PNEE with a high degree of accuracy, regardless of PNEE base rate. Combining psychological tests may be useful for confirming the etiology of PNEE.

Diagnostic utility of the Minnesota multiphasic personality inventory-2 in patients diagnosed with psychogenic non-epileptic seizures in the Czech Republic

PURPOSE

The purpose of the present study is to examine the Minnesota Multiphasic Personality Inventory 2 (MMPI-2) scores of individuals diagnosed with psychogenic non-epileptic seizures (PNES) in a tertiary epilepsy center in the Czech Republic.

METHOD

Patients (F:M 130:45; mean age 36.8 years; 12.7 years of education, frequency of seizures 0.37 per day, illness duration 5.75 years) were assessed while inpatients at the Epilepsy Center, Na Homolce Hospital, Prague. Patients underwent video-EEG testing and comprehensive neuropsychological testing and personality assessment which included the MMPI-2.

RESULTS

Elevated (+1.5SD) F and Back F (Fb) validity scales were observed along with elevated clinical scales Hypochondriasis (Hs), Depression (D), Hysteria (Hy), Psychasthenia (Pt), and Schizophrenia (Sc). Scores higher than 1 SD were found in Psychopathic Deviate (Pd), Paranoia (Pa), Hypomania (Ma) andSocial Introversion (Si) scales and on validity scales True Response Inconsistency Scale (TRIN) and Variable Response Inconsistency Scale (VRIN).

CONCLUSION

Patients diagnosed with PNES exhibit numerous elevations on the MMPI-2. Understanding the underlying psychological constructs of the patient with PNES more accurately improves predictive utility (for the presence of PNES) and allows the clinician to offer interventions that are more customized. Minnesota Multiphasic Personality Inventory results may be useful to exclude other possible diagnoses and to further determine the individual's characteristics that may be helpful when tailoring treatment, including psychotherapy.

Updated Review on the Diagnosis and Primary Management of Psychogenic Nonepileptic Seizure Disorders

Psychogenic nonepileptic seizures (PNES) are paroxystic and episodic events associated with motor, sensory, mental or autonomic manifestations, which resemble epileptic seizures (ES), but are not caused by epileptogenic activity. PNES affect between 20% and 30% of patients attending at epilepsy centers and constitute a serious mental health problem. PNES are often underdiagnosed, undertreated and mistaken with epilepsy. PNES are diagnosed after medical causes (epilepsy, syncope, stroke, etc.) have been ruled out, and psychological mechanisms are involved in their genesis and perpetuation. For psychiatry, there is not a single definition for PNES; the DSM-IV and ICD-10/11 describe the conversion and dissociative disorders, and the DSM-5 describes the functional neurological disorders. However, patients with PNES also have a high frequency of other comorbidities like depression, particularly trauma and post-traumatic stress disorder. It has been postulated that PNES are essentially dissociations that operate as a defensive psychological mechanism that use the mind as a defense to deal with traumas. With the advent of VEEG in the 90s, the recognition of PNES has significantly increased, and several psychological treatments have been developed. In this manuscript, we carried out a state-of-the-art review, with the aim to provide a critical approach to the extensive literature about PNES, focusing on diagnostic aspects, the primary management, and the available treatments that have been shown to be effective for the improvement of PNES.

Explanatory factors of quality of life in psychogenic non-epileptic seizure

OBJECTIVE

Previous studies showed that patients with Psychogenic Non-Epileptic Seizures (PNES) have poor quality of life (QoL). This study explored the explicative factors of the QoL at the time of diagnosis and monitored changes over the two years of follow-up.

METHODS

We evaluated 107 participants with a diagnosis of Psychogenic Non-Epileptic Seizure (PNES), every 6 months for 24 months. Quality of life (QoL) was evaluated using the QOLIE-31 and SF-36 scales (respectively specific and generic scales of QoL). Positive evolution of QoL was defined by the increase in the score of overall QoL using QOLIE-31 sub-scale from baseline to the last interview of the patient. We also collected for each patient data on psychiatric dimensions (childhood abuse, history of traumatic events, post-traumatic stress disorder (PTSD), depression, anxiety, alexithymia, and dissociation), clinical evolution of seizures and the number of mental health consultations.

RESULTS

According to the QOLIE-31 and the SF-36, depression (p ≤ 0.001), anxiety (p < 0.001), alexithymia (p ≤ 0.001), and dissociation (p ≤ 0.004) were related to QoL at the time of the diagnosis. According to SF-36 (mental and physical), PTSD was also significantly associated with QoL (p < 0.05). The number of seizures or the co-occurrence of epilepsy did not influence QoL. Positive evolution of QoL was linked to the number of consultations for mental health issues (p = 0.02).

SIGNIFICANCE

Post-traumatic dimensions (PTSD, dissociation), alexithymia and psychiatric comorbidities (depression and anxiety disorders) seem to alter QoL in people with PNES. The current study suggests that mental health care improves QoL of patients with PNES.

Relationship between neural responses to stress and mental health symptoms in psychogenic nonepileptic seizures after traumatic brain injury

OBJECTIVE

To utilize traumatic brain injury (TBI) as a model for investigating functioning during acute stress experiences in psychogenic nonepileptic seizures (PNES) and to identify neural mechanisms underlying the link between changes in processing of stressful experiences and mental health symptoms in PNES.

METHODS

We recruited 94 participants: 50 with TBI only (TBI-only) and 44 with TBI and PNES (TBI + PNES). Participants completed mood (Beck Depression Inventory-II), anxiety (Beck Anxiety Inventory), and posttraumatic stress disorder (PTSD) symptom (PTSD Checklist-Specific Event) assessments before undergoing functional magnetic resonance imaging during an acute psychosocial stress task. Linear mixed-effects analyses identified clusters of significant interactions between group and neural responses to stressful math performance and stressful auditory feedback conditions within limbic brain regions (volume-corrected α = .05). Spearman rank correlation tests compared mean cluster signals to symptom assessments (false discovery rate-corrected α = .05).

RESULTS

Demographic and TBI-related measures were similar between groups; TBI + PNES demonstrated worse clinical symptom severity compared to TBI-only. Stressful math performance induced relatively greater reactivity within dorsomedial prefrontal cortex (PFC) and right hippocampal regions and relatively reduced reactivity within left hippocampal and dorsolateral PFC regions for TBI + PNES compared to TBI-only. Stressful auditory feedback induced relatively reduced reactivity within ventral PFC, cingulate, hippocampal, and amygdala regions for TBI + PNES compared to TBI-only. Changes in responses to stressful math within hippocampal and dorsal PFC regions were correlated with increased mood, anxiety, and PTSD symptom severity.

SIGNIFICANCE

Corticolimbic functions underlying processing of stressful experiences differ between patients with TBI + PNES and those with TBI-only. Relationships between these neural responses and symptom assessments suggest potential pathophysiologic mechanisms in PNES.

White matter and neurite morphology differ in psychogenic nonepileptic seizures

OBJECTIVE

To further evaluate the relationship between the clinical profiles and limbic and motor brain regions and their connecting pathways in psychogenic nonepileptic seizures (PNES). Neurite Orientation Dispersion and Density Indices (NODDI) multicompartment modeling was used to test the relationships between tissue alterations in patients with traumatic brain injury (TBI) and multiple psychiatric symptoms.

METHODS

The sample included participants with prior TBI (TBI; N = 37) but no PNES, and with TBI and PNES (TBI + PNES; N = 34). Participants completed 3T Siemens Prisma MRI high angular resolution imaging diffusion protocol. Statistical maps, including fractional anisotropy (FA), mean diffusivity (MD), neurite dispersion [orientation dispersion index (ODI)] and density [intracellular volume fraction (ICVF), and free water (i.e., isotropic) volume fraction (V-ISO)] signal intensity, were generated for each participant. Linear mixed-effects models identified clusters of between-group differences in indices of white matter changes. Pearson's r correlation tests assessed any relationship between signal intensity and psychiatric symptoms.

RESULTS

Compared to TBI, TBI + PNES revealed decreases in FA, ICVF, and V-ISO and increases in MD for clusters within cingulum bundle, uncinate fasciculus, fornix/stria terminalis, and corticospinal tract pathways (cluster threshold α = 0.05). Indices of white matter changes for these clusters correlated with depressive, anxiety, PTSD, psychoticism, and somatization symptom severity (FDR threshold α = 0.05). A follow-up within-group analysis revealed that these correlations failed to reach the criteria for significance in the TBI + PNES group alone.

INTERPRETATION

The results expand support for the hypothesis that alterations in pathways comprising the specific PNES network correspond to patient profiles. These findings implicate myelin-specific changes as possible contributors to PNES, thus introducing novel potential treatment targets.

Psychological inflexibility and somatization in nonepileptic attack disorder

BACKGROUND

There is no clear understanding of what causes and maintains nonepileptic attack (NEA) disorder (NEAD), or which psychological therapies may be helpful. The relationships between variables of psychological inflexibility: experiential avoidance (EA), cognitive fusion (CF), mindfulness, and key outcome variables in NEAD: somatization, impact upon life, and NEA frequency were investigated.

METHOD

Two hundred eighty-five individuals with NEAD completed validated measures online. Linear regression was used to explore which variables predicted somatization and impact upon life. Ordinal regression was used to explore variables of interest in regard to NEA frequency.

RESULTS

Mindfulness, EA, CF, somatization, and impact upon life were all significantly correlated. Mindfulness uniquely predicted somatization when considered in a model with EA and CF. Higher levels of somatization increased the odds of experiencing more NEAs. Individuals who perceived NEAD as having a more significant impact upon their lives had more NEAs, more somatic complaints, and more EA.

CONCLUSIONS

Higher levels of CF and EA appear to be related to lower levels of mindfulness. Lower levels of mindfulness predicted greater levels of somatization, and somatization predicted NEA frequency. Interventions that tackle avoidance and increase mindfulness, such as, acceptance and commitment therapy, may be beneficial for individuals with NEAD. Future directions for research are suggested as the results indicate more research is needed.

Cognitive behavioural therapy for adults with dissociative seizures (CODES): a pragmatic, multicentre, randomised controlled trial

BACKGROUND

Dissociative seizures are paroxysmal events resembling epilepsy or syncope with characteristic features that allow them to be distinguished from other medical conditions. We aimed to compare the effectiveness of cognitive behavioural therapy (CBT) plus standardised medical care with standardised medical care alone for the reduction of dissociative seizure frequency.

METHODS

In this pragmatic, parallel-arm, multicentre randomised controlled trial, we initially recruited participants at 27 neurology or epilepsy services in England, Scotland, and Wales. Adults (≥18 years) who had dissociative seizures in the previous 8 weeks and no epileptic seizures in the previous 12 months were subsequently randomly assigned (1:1) from 17 liaison or neuropsychiatry services following psychiatric assessment, to receive standardised medical care or CBT plus standardised medical care, using a web-based system. Randomisation was stratified by neuropsychiatry or liaison psychiatry recruitment site. The trial manager, chief investigator, all treating clinicians, and patients were aware of treatment allocation, but outcome data collectors and trial statisticians were unaware of treatment allocation. Patients were followed up 6 months and 12 months after randomisation. The primary outcome was monthly dissociative seizure frequency (ie, frequency in the previous 4 weeks) assessed at 12 months. Secondary outcomes assessed at 12 months were: seizure severity (intensity) and bothersomeness; longest period of seizure freedom in the previous 6 months; complete seizure freedom in the previous 3 months; a greater than 50% reduction in seizure frequency relative to baseline; changes in dissociative seizures (rated by others); health-related quality of life; psychosocial functioning; psychiatric symptoms, psychological distress, and somatic symptom burden; and clinical impression of improvement and satisfaction. p values and statistical significance for outcomes were reported without correction for multiple comparisons as per our protocol. Primary and secondary outcomes were assessed in the intention-to-treat population with multiple imputation for missing observations. This trial is registered with the International Standard Randomised Controlled Trial registry, ISRCTN05681227, and ClinicalTrials.gov, NCT02325544.

FINDINGS

Between Jan 16, 2015, and May 31, 2017, we randomly assigned 368 patients to receive CBT plus standardised medical care (n=186) or standardised medical care alone (n=182); of whom 313 had primary outcome data at 12 months (156 [84%] of 186 patients in the CBT plus standardised medical care group and 157 [86%] of 182 patients in the standardised medical care group). At 12 months, no significant difference in monthly dissociative seizure frequency was identified between the groups (median 4 seizures [IQR 0-20] in the CBT plus standardised medical care group vs 7 seizures [1-35] in the standardised medical care group; estimated incidence rate ratio [IRR] 0·78 [95% CI 0·56-1·09]; p=0·144). Dissociative seizures were rated as less bothersome in the CBT plus standardised medical care group than the standardised medical care group (estimated mean difference -0·53 [95% CI -0·97 to -0·08]; p=0·020). The CBT plus standardised medical care group had a longer period of dissociative seizure freedom in the previous 6 months (estimated IRR 1·64 [95% CI 1·22 to 2·20]; p=0·001), reported better health-related quality of life on the EuroQoL-5 Dimensions-5 Level Health Today visual analogue scale (estimated mean difference 6·16 [95% CI 1·48 to 10·84]; p=0·010), less impairment in psychosocial functioning on the Work and Social Adjustment Scale (estimated mean difference -4·12 [95% CI -6·35 to -1·89]; p<0·001), less overall psychological distress than the standardised medical care group on the Clinical Outcomes in Routine Evaluation-10 scale (estimated mean difference -1·65 [95% CI -2·96 to -0·35]; p=0·013), and fewer somatic symptoms on the modified Patient Health Questionnaire-15 scale (estimated mean difference -1·67 [95% CI -2·90 to -0·44]; p=0·008). Clinical improvement at 12 months was greater in the CBT plus standardised medical care group than the standardised medical care alone group as reported by patients (estimated mean difference 0·66 [95% CI 0·26 to 1·04]; p=0·001) and by clinicians (estimated mean difference 0·47 [95% CI 0·21 to 0·73]; p<0·001), and the CBT plus standardised medical care group had greater satisfaction with treatment than did the standardised medical care group (estimated mean difference 0·90 [95% CI 0·48 to 1·31]; p<0·001). No significant differences in patient-reported seizure severity (estimated mean difference -0·11 [95% CI -0·50 to 0·29]; p=0·593) or seizure freedom in the last 3 months of the study (estimated odds ratio [OR] 1·77 [95% CI 0·93 to 3·37]; p=0·083) were identified between the groups. Furthermore, no significant differences were identified in the proportion of patients who had a more than 50% reduction in dissociative seizure frequency compared with baseline (OR 1·27 [95% CI 0·80 to 2·02]; p=0·313). Additionally, the 12-item Short Form survey-version 2 scores (estimated mean difference for the Physical Component Summary score 1·78 [95% CI -0·37 to 3·92]; p=0·105; estimated mean difference for the Mental Component Summary score 2·22 [95% CI -0·30 to 4·75]; p=0·084), the Generalised Anxiety Disorder-7 scale score (estimated mean difference -1·09 [95% CI -2·27 to 0·09]; p=0·069), and the Patient Health Questionnaire-9 scale depression score (estimated mean difference -1·10 [95% CI -2·41 to 0·21]; p=0·099) did not differ significantly between groups. Changes in dissociative seizures (rated by others) could not be assessed due to insufficient data. During the 12-month period, the number of adverse events was similar between the groups: 57 (31%) of 186 participants in the CBT plus standardised medical care group reported 97 adverse events and 53 (29%) of 182 participants in the standardised medical care group reported 79 adverse events.

INTERPRETATION

CBT plus standardised medical care had no statistically significant advantage compared with standardised medical care alone for the reduction of monthly seizures. However, improvements were observed in a number of clinically relevant secondary outcomes following CBT plus standardised medical care when compared with standardised medical care alone. Thus, adults with dissociative seizures might benefit from the addition of dissociative seizure-specific CBT to specialist care from neurologists and psychiatrists. Future work is needed to identify patients who would benefit most from a dissociative seizure-specific CBT approach.

FUNDING

National Institute for Health Research, Health Technology Assessment programme.

What are non-epileptic seizures, and why do people have them?

Psychogenic non-epileptic seizures (dissociative seizures) are encountered commonly in emergency medicine and in acute medical wards. Although diagnosis is usually deferred to an expert in epilepsy, an understanding of the phenomenon is helpful in acute management of the patient and dealing with associated urgent safeguarding issues. This article describes a simple model of psychogenic non-epileptic seizures that is useful in clinical practice and helpful to staff, patients and their carers.

Psychogenic nonepileptic seizures treated with psychotherapy: Long-term outcome on seizures and healthcare utilization

Psychogenic nonepileptic seizures (PNES) are known to be associated with significant costs of healthcare services. Here, we report the impact of psychotherapy on behavior surrounding healthcare utilization and the potential economic benefits associated with long-term seizure control.

METHODS

This retrospective study describes patients seen between 2010 and 2016 at the epilepsy clinic at Glostrup University Hospital in Denmark and offered a psychotherapeutic treatment program for PNES. Forty-two patients were interviewed about seizure outcome 12-24 months after psychotherapy, and the annual changes in healthcare utilization and associated costs of services provided in a period of 24 months before and up to 24 months after treatment were compared.

RESULTS

At 12-month follow-up, 83% of the patients had achieved above 50% reduction in seizures. The 24-month pretreatment costs compared with the 24-month posttreatment costs directly associated with seizures dropped by 95.8%, and total healthcare costs were reduced by 63%. Estimation of annual savings from the program comes to 1060 € per patient. An association was found between seizure rate and number of healthcare contacts.

CONCLUSION

This study adds to the evidence that psychotherapy is a cost-effective way of treating PNES. The economic benefits from this form of intervention appear not only to diminish costs directly associated with PNES, but also healthcare utilization in general.

Long-term outcome in a sample of underprivileged patients with psychogenic nonepileptic seizures (PNES) living in Argentina

OBJECTIVE

The objective of the present study was to perform a long-term follow-up of economically disadvantaged Latin American patients diagnosed as having psychogenic nonepileptic seizures (PNES) and contribute to the field's understanding of outcome in this population.

BACKGROUND

A handful of studies have examined outcome of patients once the diagnosis of PNES has been communicated. However, the vast majority of these have been conducted in the first world countries with samples that were predominantly Caucasian. There is limited knowledge about outcome in economically disadvantaged Latin American patients diagnosed as having PNES.

METHODS

This is a study of 23 patients (20 women, 3 men) with PNES in which demographic data (age, education, nationality, presence of psychological trauma, age of onset) were retrospectively retrieved from medical files. Follow-up was done through a telephonic questionnaire in which investigators collected clinical information (seizure characteristics at follow-up, and treatments employed) and changes in demographic data.

RESULTS

Patients from this Argentinian PNES sample demonstrated having many similar demographic and clinical characteristics to samples from US and European studies. Long-term follow-up revealed, however, decreased seizure frequency and intensity as well as a substantial improvement in occupational status. A majority had engaged in psychotherapy as well as alternative and complementary approaches. A majority had also developed what are suspected to be other functional symptoms.

CONCLUSIONS

Argentinian patients from economically disadvantaged backgrounds, diagnosed as having PNES reported improvements in seizure frequency and occupational status during long-term follow-up. Future studies will need to focus on what (e.g., communication of diagnosis, psychotherapy, alternative treatments) may have contributed to these changes.

Psychological trauma, somatization, dissociation, and psychiatric comorbidities in patients with psychogenic nonepileptic seizures compared with those in patients with intractable partial epilepsy

OBJECTIVE

The objective of this study was to compare patients with intractable epilepsy with patients with psychogenic nonepileptic seizures (PNES) on the presence of psychological traumas, clinical factors, and psychological measures of somatization and dissociation.

BACKGROUND

Several studies have reported a high prevalence of psychological trauma in patients with PNES, while less have examined the prevalence of psychological trauma in patients with epilepsy and compared both groups. Reports have been somewhat divergent with some describing significantly higher prevalence in physical abuse, others, in emotional abuse/neglect, and others, in sexual abuse in patients with PNES compared with those in patients with epilepsy.

METHODS

This is a retrospective study of 96 patients (61 women, 35 men) with intractable epilepsy (2009 to 2017) and 161 patients (107 women, 54 men) with PNES (2008 to 2018). Demographic and clinical (psychological trauma, depression, anxiety, seizure frequency, and number of antiepileptic drugs) data were collected. The Trauma Symptom Inventory II and the Minnesota Multiphasic Personality Inventory 2RF were administered.

RESULTS

Patients with PNES differed significantly from those with intractable epilepsy on sexual trauma (χ² (5df, N = 257) =9.787, p < .002) and "other" trauma (χ² (5df, N = 257) = 17.9076, p < .000). On psychological measures, there was a significant difference on Somatization scores in patients with PNES (M = 59.63, SD = 11.47) and patients with intractable epilepsy (M = 53.98, SD = 11.31); t(173) = 2.8396, p = .0051, but no difference was noted on a measure of Dissociation. Subsequent principal components analysis revealed that the first 3 principal components (sexual, physical, and other trauma) explained 74.19% of the variability, and that one principal component (dissociation, somatization, demoralization) explained 61.57% of the variability. However, after adjusting for the effects of covariates, only the presence of trauma discriminated between epilepsy and PNES.

CONCLUSIONS

Patients with PNES diagnoses differed from those with epilepsy on a Somatization scale but not on Dissociation or Intrusive Experiences and exhibited significantly higher rates of sexual and "other" trauma compared with those with intractable epilepsy. However, subsequent analyses revealed that a history of psychological trauma was the only condition found to discriminate between patients with PNES and those with epilepsy. These findings suggest that during initial workup and diagnosis, when patients report a history of psychological trauma (sexual or otherwise) a psychogenic nonepileptic etiology should be strongly considered in the differential diagnosis.

Quality of life and psychological dysfunction in traumatized and nontraumatized patients with psychogenic nonepileptic seizures (PNES)

OBJECTIVES

Psychogenic nonepileptic seizures (PNES) have the appearance of epileptic seizures, yet show no epileptiform discharges in the brain. The quality of life (QOL) in patients with PNES is reportedly low and trauma eems to be a relevant risk factor. The objective of this study was to examine the difference between measures of (epilepsy-specific) QOL (Quality of Life in Epilepsy Inventory; QOLIE-31p) and psychological dysfunction (trauma symptom inventory; TSI) between patients with diagnosed PNES with self-reported trauma and those without self-reported trauma.

METHODS

Patients whose PNES diagnoses were through video-electroencephalogram (EEG) monitoring at the Northeast Regional Epilepsy Group between 2008 and 2018 were included. Patients who reported to have a history of psychological trauma and those who did not were assigned to separate groups. Scores from the TSI and QOLIE-31p were compared by using multivariate analysis of covariance.

RESULTS

The total sample was comprised of 217 adult patients, 148 of which self-reported as having experienced psychological trauma in the past and 69 who did not report any psychological trauma. Traumatized patients significantly differed in terms of QOL and TSI from nontraumatized patients. Traumatized patients were demonstrated to have lower scores on the subdomain "energy" of the QOLIE-31p and the total QOLIE-31p score compared to the nontraumatized group. Similarly, the traumatized group had significantly higher scores on nearly all TSI subscales with the exception of suicidality, sexual disturbances, and somatization.

CONCLUSION

This study demonstrated significant differences between patients with PNES who have been psychologically traumatized and those who have not. In particular, patients with a history of psychological trauma present greater psychopathology and would possibly benefit from rapid identification and referral to trauma-based therapy. In turn, this may result in a reduction of disease burden, increase QOL, and a reduction in healthcare costs resulting from diagnostic delays and implementation of less targeted treatments.

Novel features for capturing temporal variations of rhythmic limb movement to distinguish convulsive epileptic and psychogenic nonepileptic seizures

OBJECTIVE

To investigate the characteristics of motor manifestation during convulsive epileptic and psychogenic nonepileptic seizures (PNES), captured using a wrist-worn accelerometer (ACM) device. The main goal was to find quantitative ACM features that can differentiate between convulsive epileptic and convulsive PNES.

METHODS

In this study, motor data were recorded using wrist-worn ACM-based devices. A total of 83 clinical events were recorded: 39 generalized tonic-clonic seizures (GTCS) from 12 patients with epilepsy, and 44 convulsive PNES from 7 patients (one patient had both GTCS and PNES). The temporal variations in the ACM traces corresponding to 39 GTCS and 44 convulsive PNES events were extracted using Poincaré maps. Two new indices-tonic index (TI) and dispersion decay index (DDI)-were used to quantify the Poincaré-derived temporal variations for every GTCS and convulsive PNES event.

RESULTS

The TI and DDI of Poincaré-derived temporal variations for GTCS events were higher in comparison to convulsive PNES events (P < 0.001). The onset and the subsiding patterns captured by TI and DDI differentiated between epileptic and convulsive nonepileptic seizures. An automated classifier built using TI and DDI of Poincaré-derived temporal variations could correctly differentiate 42 (sensitivity: 95.45%) of 44 convulsive PNES events and 37 (specificity: 94.87%) of 39 GTCS events. A blinded review of the Poincaré-derived temporal variations in GTCS and convulsive PNES by epileptologists differentiated 26 (sensitivity: 70.27%) of 44 PNES events and 33 (specificity: 86.84%) of 39 GTCS events correctly.

SIGNIFICANCE

In addition to quantifying the motor manifestation mechanism of GTCS and convulsive PNES, the proposed approach also has diagnostic significance. The new ACM features incorporate clinical characteristics of GTCS and PNES, thus providing an accurate, low-cost, and practical alternative to differential diagnosis of PNES.

Emotion dysregulation in patients with psychogenic nonepileptic seizures: A systematic review based on the extended process model

Psychogenic nonepileptic seizures (PNES) are characterized by paroxysmal alterations in motor and sensory functions resembling epileptic seizures, but are not caused by epileptiform activity. In recent years, there has been increasing scientific interest in emotion dysregulation in patients with PNES (pwPNES), but the literature has not yet been interpreted within a broader model of emotion dysregulation. The aim of this review was therefore to synthesize the existing literature on emotion dysregulation in pwPNES within the extended process model (EPM) of emotion regulation.

METHODS

PubMed and Web of Science were searched for studies relevant to emotion dysregulation as defined by the EPM. These studies were subjected to a bespoke quality appraisal tool. Studies of acceptable quality were categorized to the different stages of the EPM and critically appraised.

RESULTS

Studies of emotion regulation in pwPNES were generally of low quality - a finding largely driven by small sample sizes. However, there was evidence of emotion dysregulation characterized by deficits in the identification of patients' own emotional states, as well as the selection and implementation of maladaptive regulatory strategies, and altered exteroceptive emotional processing. However, heterogeneity in findings suggests that emotion dysregulation is likely linked to other psychological factors and not common to all pwPNES.

SIGNIFICANCE

This review suggests that while pwPNES are likely to experience emotion dysregulation as defined by the EPM, there is variability in the distribution of regulatory deficits in this patient population, and a person-centered approach should be taken when working with these patients. There is a need for more high quality and better-powered studies in this area.

Implicit attentional bias for facial emotion in dissociative seizures: Additional evidence

This study sought to extend knowledge about the previously reported preconscious attentional bias (AB) for facial emotion in patients with dissociative seizures (DS) by exploring whether the finding could be replicated, while controlling for concurrent anxiety, depression, and potentially relevant cognitive impairments. Patients diagnosed with DS (n=38) were compared with healthy controls (n=43) on a pictorial emotional Stroop test, in which backwardly masked emotional faces (angry, happy, neutral) were processed implicitly. The group with DS displayed a significantly greater AB to facial emotion relative to controls; however, the bias was not specific to negative or positive emotions. The group effect could not be explained by performance on standardized cognitive tests or self-reported depression/anxiety. The study provides additional evidence of a disproportionate and automatic allocation of attention to facial affect in patients with DS, including both positive and negative facial expressions. Such a tendency could act as a predisposing factor for developing DS initially, or may contribute to triggering individuals' seizures on an ongoing basis. Psychological interventions such as Cognitive Behavioral Therapy (CBT) or AB modification might be suitable approaches to target this bias in clinical practice.

Psychogenic non-epileptic seizures: aetiology, diagnosis and management

Psychogenic non-epileptic seizures (PNES) have a significant impact on most patients in terms of distress, disability, loss of income and iatrogenic harm. Three-quarters of patients with PNES are initially misdiagnosed and treated for epilepsy. Misdiagnosis exposes patients to multiple iatrogenic harms and prevents them from accessing psychological treatment. In most cases, the patient's history (and witness accounts) should alert clinicians to the likely diagnosis of PNES. Since this diagnosis may be resisted by patients and may involve ‘un-diagnosing’ epilepsy, video-electroencephalogram recording of typical seizures is often helpful. The underlying causes of PNES are diverse: a model combining predisposing, precipitating and perpetuating factors is a useful way of conceptualising their aetiology. The initial step of treatment should be to limit iatrogenic harm. There is some evidence for the effectiveness of psychotherapy.

Pediatric Psychogenic Nonepileptic Seizures: A Concise Review

Psychogenic nonepileptic seizures is a complicated biopsychosocial disorder with significant morbidity and high cost in children's social, emotional, family, and academic functioning as well as health care service utilization. Misdiagnosis and diagnostic delay, resulting from both lack of access to approved standards for diagnosing and service providers comfortable with diagnosing and treating this disorder, impact prognosis. Treatment in close proximity to symptom onset is thought to provide the best chance for remission.

Cortical thickness alterations linked to somatoform and psychological dissociation in functional neurological disorders

BACKGROUND

Links between dissociation and functional neurological disorder (FND)/conversion disorder are well-established, yet the pathophysiology of dissociation remains poorly understood. This MRI study investigated structural alterations associated with somatoform and psychological dissociation in FND. We hypothesized that multimodal, paralimbic cingulo-insular regions would relate to the severity of somatoform dissociation in patients with FND.

METHODS

FreeSurfer cortical thickness and subcortical volumetric analyses were performed in 26 patients with motor FND and 27 matched healthy controls. Patients with high dissociation as measured by the Somatoform Dissociation Questionnaire-20 (SDQ) or Dissociative Experiences Scale (DES) were compared to controls in stratified analyses. Within-group analyses were also performed with SDQ and DES scores in patients with FND. All cortical thickness analyses were whole-brain corrected at the cluster-wise level.

RESULTS

Patients with FND and high somatoform dissociation (SDQ > 35) showed reduced left caudal anterior cingulate cortex (ACC) cortical thickness compared to controls. In within-group analyses, SDQ scores inversely correlated with left caudal ACC cortical thickness in patients with FND. Depersonalization/derealization scores positively correlated with right lateral occipital cortical thickness. Both within-group findings remained statistically significant controlling for trait anxiety/depression, borderline personality disorder and post-traumatic stress disorder, adverse life events, and motor FND subtypes in post-hoc analyses.

CONCLUSION

Using complementary between-group and within-group analyses, an inverse association between somatoform dissociation and left caudal ACC cortical thickness was observed in patients with FND. A positive relationship was also appreciated between depersonalization/derealization severity and cortical thickness in visual association areas. These findings advance our neuropathobiological understanding of dissociation in FND. Hum Brain Mapp 39:428-439, 2018. © 2017 Wiley Periodicals, Inc.

Increased odds and predictive rates of MMPI-2-RF scale elevations in patients with psychogenic non-epileptic seizures and observed sex differences

OBJECTIVE

The Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) is a self-report instrument, previously shown to differentiate patients with epileptic seizures (ES) and psychogenic non-epileptic seizures (PNES). At present, the odds of MMPI-2-RF scale elevations in PNES patients, as well as the diagnostic predictive value of such scale elevations, remain largely unexplored. This can be of clinical utility, particularly when a diagnosis is uncertain.

METHOD

After looking at mean group differences, we applied contingency table derived odds ratios to a sample of ES (n=92) and PNES (n=77) patients from a video EEG (vEEG) monitoring unit. We also looked at the positive and negative predictive values (PPV, NPV), as well as the false discovery rate (FDR) and false omission rate (FOR) for scales found to have increased odds of elevation in PNES patients. This was completed for the overall sample, as well as the sample stratified by sex.

RESULTS

The odds of elevations related to somatic concerns, negative mood, and suicidal ideation in the PNES sample ranged from 2 to 5 times more likely. Female PNES patients had 3-6 times greater odds of such scale elevations, while male PNES patients had odds of 5-15 times more likely. PPV rates ranged from 53.66% to 84.62%, while NPV rates ranged from 47.52% to 90.91%. FDR across scales ranged from 15.38% to 50%, while the FOR ranged from 9.09% to 52.47%.

CONCLUSIONS

Consistent with prior research, PNES patients have greater odds of MMPI-2-RF scale elevations, particularly related to somatic concerns and mood disturbance. Female PNES patients endorsed greater emotional distress, including endorsement of suicide related items. Elevations of these scales could aid in differentiating PNES from ES patients, although caution is warranted due to the possibility of both false positives and the incorrect omissions of PNES cases.

Psychiatric and behavioral comorbidities in epilepsy: A critical reappraisal

Psychiatric and behavioral disorders are important aspects of epilepsy and have received increasing attention in the last several years. The literature upon which most of the field relies contains some biases that must be carefully examined and resolved in future studies. First, in the pediatric epilepsy literature, many reports find that children with epilepsy have high levels of behavioral and psychiatric disorders when compared to appropriate controls. Most of these studies rely on parent-proxy completed instruments to assess these behavioral endpoints. Parents' reports are not objective but reflect parents' reactions and emotions. Increasing evidence suggests inherent biases in proxy reports and highlights the need to assess children directly. Second, periictal phenomena may be mischaracterized as underlying mood disorders. Third, many studies report elevated levels of psychiatric morbidity before and after the diagnosis of epilepsy, suggesting an inherent relation between the two types of disorders. Psychogenic nonepileptic seizures, while widely recognized as posing a diagnostic dilemma in the clinic, may account for some of these research findings. Diagnostic errors between epilepsy and psychogenic nonepileptic seizures need careful consideration when evaluating studies demonstrating associations between psychiatric disorders and epilepsy or poorer seizure control in association with psychiatric disorders in people who have epilepsy. Mental health concerns are important for everyone. An accurate, undistorted understanding of the relation between mental health disorders and epilepsy is essential to ensure appropriate therapy and to avoid unnecessary and potentially harmful treatments and common misconceptions.

Dissociation in patients with dissociative seizures: relationships with trauma and seizure symptoms

BACKGROUND

This study aimed to extend the current understanding of dissociative symptoms experienced by patients with dissociative (psychogenic, non-epileptic) seizures (DS), including psychological and somatoform types of symptomatology. An additional aim was to assess possible relationships between dissociation, traumatic experiences, post-traumatic symptoms and seizure manifestations in this group.

METHOD

A total of 40 patients with DS were compared with a healthy control group (n = 43), matched on relevant demographic characteristics. Participants completed several self-report questionnaires, including the Multiscale Dissociation Inventory (MDI), Somatoform Dissociation Questionnaire-20, Traumatic Experiences Checklist and the Post-Traumatic Diagnostic Scale. Measures of seizure symptoms and current emotional distress (Hospital Anxiety and Depression Scale) were also administered.

RESULTS

The clinical group reported significantly more psychological and somatoform dissociative symptoms, trauma, perceived impact of trauma, and post-traumatic symptoms than controls. Some dissociative symptoms (i.e. MDI disengagement, MDI depersonalization, MDI derealization, MDI memory disturbance, and somatoform dissociation scores) were elevated even after controlling for emotional distress; MDI depersonalization scores correlated positively with trauma scores while seizure symptoms correlated with MDI depersonalization, derealization and identity dissociation scores. Exploratory analyses indicated that somatoform dissociation specifically mediated the relationship between reported sexual abuse and DS diagnosis, along with depressive symptoms.

CONCLUSIONS

A range of psychological and somatoform dissociative symptoms, traumatic experiences and post-traumatic symptoms are elevated in patients with DS relative to healthy controls, and seem related to seizure manifestations. Further studies are needed to explore peri-ictal dissociative experiences in more detail.

Non-epileptic attack disorder: the importance of diagnosis and treatment

A 50-year-old woman was taken to hospital by emergency ambulance during her first seizure. She was admitted to hospital, treated with intravenous diazepam, diagnosed with epilepsy and started on antiepileptic drug (AED) therapy. This was ineffective so she was referred to a tertiary centre where she underwent video EEG and was diagnosed with non-epileptic attack disorder. Her experience of the diagnosis was positive; it allowed her to understand what was happening to her and to understand the link between her seizures, adverse childhood experiences and the death of her mother. She stopped taking AEDs and she was referred to a psychologist which led to a significant improvement in her functioning and quality of life. We present this case as a good example of the benefits of accurate diagnosis, clear explanation and access to specialist care.

Value of patient-reported symptoms in the diagnosis of transient loss of consciousness

OBJECTIVE

Epileptic seizures, syncope, and psychogenic nonepileptic seizures (PNES) account for over 90% of presentations with transient loss of consciousness (TLOC). The patient's history is crucial for the diagnosis, but the diagnostic value of individual semiologic features is limited. This study explores the diagnostic potential of a comprehensive questionnaire focusing on TLOC-associated symptoms.

METHODS

A total of 386 patients with proven epilepsy, 308 patients with proven PNES, and 371 patients with proven syncope were approached by post to recruit 100 patients in each diagnostic group. Symptoms were self-reported on an 86-item questionnaire (the Paroxysmal Event Profile [PEP]) using a 5-point Likert scale (always to never). Data were subjected to exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA). Factors were used to differentiate between diagnoses by pairwise and multinomial regression.

RESULTS

Patients with PNES reported more and more frequent TLOC-associated symptoms than those with epilepsy or syncope (p < 0.001). EFA/CFA identified a 5-factor structure based on 74/86 questionnaire items with loadings ≥0.4. Pairwise logistic regression analysis correctly classified 91% of patients with epilepsy vs those with syncope, 94% of those with PNES vs those with syncope, and 77% of those with epilepsy vs those with PNES. Multinomial logistic regression analysis yielded a similar pattern.

CONCLUSIONS

Clusters of self-reported TLOC symptoms can be used to direct patients to appropriate investigation and treatment pathways for syncope on the one hand and seizures on the other, although additional information is required for a reliable distinction, especially between epilepsy and PNES.