Functional seizures and binge eating disorder: A cross-sectional study.

OBJECTIVE: Functional seizures (FS) are brief, involuntary changes in behaviour or consciousness, distinct from epileptic seizures, potentially associated with psychological dissociation. Binge eating disorder (BED) was linked to psychological and somatic dissociation also. However, any connection between FS and BED is insufficiently explored. We aimed to assess BED prevalence in individuals with FS, anxiety/depression (AD), and healthy subjects (HS), to investigate dissociation's link to binge eating, and to explore psychological characteristics of FS individuals. METHOD: Participants underwent evaluations based on ILAE guidelines and DSM-5 criteria, including questionnaires assessing binge eating, dissociation, anxiety, depression and personality traits. Inclusion criteria were age > 18 years, no history of substance abuse, no history of epilepsy, and no use of medications inducing eating disorders. RESULTS: We found significantly more frequent and severe binge-eating symptoms in individuals with FS and AD compared to HS. Depression and dissociation correlated with binge-eating symptoms in both AD and FS groups. The PID-5 facet 'Perseveration' predicted binge-eating attitudes only in FS individuals; they reported more childhood emotional neglect and increased disinhibition compared do AD people. DISCUSSION: This study underscores the commonality of binge-eating symptoms in FS individuals, emphasizing its association with dissociation symptoms. This finding support the hypothesis of a link between dissociation and eating disorders. Unique clinical characteristics in individuals with FS were identified, as a compulsive dimension related to binge-eating symptoms, providing a comprehensive understanding of their psychological profile and guiding targeted therapeutic interventions.

Mortality in patients with psychogenic non-epileptic seizures a population-based cohort study.

OBJECTIVES: To compare mortality, comorbidities and causes of death in people with psychogenic non-epileptic seizures (PNES), epilepsy and the general population. METHODS: Using linkage of multiple Swedish national registers, we identified individuals with incident diagnosis of PNES, epilepsy and conversion disorder with motor symptoms or deficits, and 10 controls for each. Main outcome was all-cause mortality. Causes of death were categorised into non-natural (eg, suicide, injuries) and natural. Conditional Cox regression models were used to estimate HRs and 95% CIs for mortality. HRs were adjusted for socioeconomic factors and psychiatric comorbidities. RESULTS: Included were 885 individuals with PNES, 50 663 with epilepsy and 1057 with conversion disorder and motor symptoms or deficits. We found 32 (3.6%) deaths among individuals with PNES, compared with 46 (0.5%) deaths in controls, giving an adjusted HR of 5.5 (95% CI 2.8 to 10.8). Patients with epilepsy had a 6.7 times higher risk of death (95% CI 6.4 to 7.0) compared with individuals without epilepsy. The association between conversion disorder with motor symptoms or deficits was non-significant after adjusting for psychiatric comorbidities. PNES carried a higher risk of natural (HR 8.1, 95% CI 4.0 to 16.4) and non-natural causes of death (HR 15.3, 95% CI 3.0 to 78.6). Suicide ranked high in patients with PNES (18.8%) and conversion disorder with motor symptoms and deficits. The association between PNES diagnosis and all-cause mortality varied with age and time since diagnosis. CONCLUSION: Like epilepsy, PNES carries a higher than expected risk of both natural and non-natural causes of death. The high proportion of suicides requires further investigation.

Factors Associated with Non-Binary Gender Identity in Psychiatric Inpatients with Suicidal Ideation Assigned Female at Birth: A Case-Control Study.

The study aimed to investigate factors associated with non-binary gender identity in Russian female psychiatric inpatients with suicidal ideation. This case-control study included 38 female inpatients with non-binary gender identity and a control group-76 cisgender women matched for age (age range 19-35 years, M age, 21.5 years); both groups were psychiatric inpatients with suicidal thoughts. All patients underwent the Self-Injurious Thoughts and Behaviors Interview and completed the brief Reasons for Living Inventory. We also used the WHO Quality of Life Questionnaire (WHOQOL-100) and the Life Style Index (LSI). Non-binary gender identity in inpatients with suicidal ideation was associated with lower educational level, higher unemployment rate, being more socially reticent in preschool, and lifetime sexual experience with both male and female partners. In addition, they were younger at the time of the first suicidal ideation, suicide plan development, and attempt. Non-binary inpatients had lower scores in freedom, physical safety, and security facets of WHOQOL-100 and a higher level of intellectualization on LSI. People with non-binary gender identity face educational, employment, and communication issues. They also have distinct suicidal thoughts and behavioral profiles. These issues and differences mean unique approaches to suicide prevention for a population of inpatients with non-binary gender identity are needed.

Mid-term psychiatric consequences of the COVID-19 pandemic: a 4 months observational study on emergency room admissions for psychiatric evaluation after the (first) lockdown period in Italy.

PURPOSE: The aim of our study is to evaluate the number and the features of admissions to the emergency room (ER) requiring psychiatric consultation, in the period between May 4th and August 31st 2020. METHODS: We carried out a retrospective longitudinal observational study examining the 4 months following the initial lockdown imposed during the COVID-19 outbreak (May 4th and August 31st 2020). More specifically, the ER admissions leading to psychiatric referral were reviewed at all seven public hospitals of AUSL Romagna (Emilia Romagna region, Italy). Socio-demographic variables, history of medical comorbidities or psychiatric disorders, reason for ER admission, psychiatric diagnosis at discharge, and actions taken by the psychiatrist were collected. RESULTS: An 11.3% (p = 0.007) increase in psychiatric assessments was observed when compared with the same period of the previous year (2019). A positive personal history of psychiatric disorders (OR:0.68, CI: 0.53-0.87) and assessments leading to no indication for follow-up (OR: 0.22, CI: 0.13-0.39) were significantly less frequent, while there was a significant increase of cases featuring organic comorbidities (OR: 1.24, CI: 1.00-1.52) and suicidal ideation/self-harm/suicide attempt (OR: 1,71, CI: 1.19-2.45) or psychomotor agitation (OR: 1.46, CI: 1.02-2.07) as reason for admission. CONCLUSIONS: Our results showed an increase in ER psychiatric consultations compared to the previous year, underlying the increased psychological distress caused by the lockdown.

Effects of lockdown on emergency room admissions for psychiatric evaluation: an observational study from 4 centres in Italy.

Objectives: An observation of the Emergency Room (ER) admissions during the lockdown.Methods: We monitored admissions to the ER requiring psychiatric evaluation during the 2020 lockdown (March 9th-May 3rd, 2020) compared to the same period of 2019, in four sites of Northern Italy (ASST Lariana, AUSL Modena, ASU Friuli Centrale and AUSL Romagna). Number of admissions, baseline demographic and clinical variables were extracted from the clinical databases.Results: A 20.0% reduction of psychiatric referrals was observed across the sites (24.2% in ASST Lariana, 30.5% in AUSL Modena, 12.0% in ASU Friuli Centrale and 14.5% in AUSL Romagna). This reduction peaked at 41.5% in the first month of the lockdown. Being homeless as well as with a dual diagnosis (OR 1,67, CI: 1.02-2.74), while living in a residential facility and admission for a depressive episode Being homeless (OR 2.50, CI: 1.36-4.61) and having a dual diagnosis (OR 1,67, CI: 1.02-2.74) were significantly associated with an increase in ER admission, while living in a residential facility (OR 0.48, CI: 0.31-0.74), having a depressive episode (OR 0.36, CI: 0.18-0.73) and a diagnosis of anxiety disorder (OR 0.60, CI: 0.36-0.99) were significantly associated with a decrease.Conclusions: During lockdown, a decrease in psychiatric referrals was observed.

ES/PNES differential diagnosis after a brief training of naive researchers using a linguistic Scoring Table.

We asked a group of four researchers without experience in the field, to fill in the simplified Scoring Table based on Conversational Analysis principles. Researchers underwent a single-day training based on the linguistic differences in the event description by patients with epileptic seizures (ES) and psychogenic nonepileptic seizures (PNES). Two raters reached 100% agreement with the gold standard and even in the worst case the error was only 25%. This tool could be used for first screening, because it is very easy to administer, both for the interview and for the Scoring Table completion, confirming the usefulness of Conversation Analysis in differential diagnosis between ES and PNES.

Differential diagnosis between epileptic and psychogenic nonepileptic seizures through conversational analysis: A blinded prospective study in the Russian language.

The current study examined the validity of conversational analysis (CA) in Russian patients with seizures, using a scoring table for the Simplified Linguistic Evaluation (SLE). The study sample was composed of 12 adult participants suffering either from epilepsy (ES) or psychogenic nonepileptic seizures (PNES) recruited in the Moscow Research and Clinical Center for Neuropsychiatry. Definitive diagnosis was established only after a habitual event was captured onvEEG. All participants with PNES or ES and at least one mental disorder underwent a 20-minute-long interview recorded on video. The interview then was evaluated by the external blinded physician already experienced in CA. Finally, that physician filled the SLE, consisting of 5 items analyzing the main characteristics of patient narrations. A score of ≥12 suggested a diagnosis of ES, while a score of <12 suggested a diagnosis of PNES. The blinded evaluator correctly identified 11 out of 12 cases. The concordance between the vEEG diagnosis and the CA diagnostic hypothesis was 91.67%. The sensitivity of the scoring table was 100%, while the specificity was 80%. The positive and the negative predictive values were, respectively, 87.5% and 100%. Our results suggested that the differences in seizure descriptions between patients with PNES and patients with ES are similar across Indo-European language family and are independent of psychiatric comorbidity.

Effects of lockdown on emergency room admissions for psychiatric evaluation: an observational study from the AUSL Romagna, Italy.

OBJECTIVES: An observation of the admissions to the emergency room (ER) requiring psychiatric evaluation during the lockdown and investigation of the demographic and clinical variables. METHODS: Retrospective longitudinal observational study of ER accesses for psychiatric evaluation was performed, comparing two periods (9 March-3 May 2020 vs. 9 March-3 May 2019). Data (number of admissions, key baseline demographic and clinical variables) were extracted from the ER databases of referral centres in a well-defined geographic area of North-Eastern Italy (Cesena, Ravenna, Forlì, and Rimini). RESULTS: A 15% reduction of psychiatric referrals was observed, together with a 17% reduction in the total number of patients referring to the ER. This reduction was most evident in the first month of the lockdown period (almost 25% reduction of both referrals and patients). Female gender (OR: 1.52: 95%, CI: 1.12-2.06) and being a local resident (OR: 1.54: 95%CI: 1.02-2.34) were factors associated with the decrease. CONCLUSIONS: Lockdown changed dramatically health priorities in the local population, including people with mental health. We speculate that our observations do not only refer to the confinement due to the lockdown regime but also to fear of contagion and adoption of different coping strategies, especially in women.Key-pointsDuring lockdown 15% reduction of psychiatric visits and >17% reduction in the number of psychiatric patients referring to the ER was observed.in the first four weeks of the lockdown almost 25% reduction of both visits and patients was observedFemale gender and being a local resident were factors associated with the decrease.

Epilepsy, antiepileptic drugs and dementia.

PURPOSE OF REVIEW: To illustrate the frequency and trends of the comorbidity of epilepsy and dementia and the effects of antiepileptic drugs (AEDs) on cognitive functions. RECENT FINDINGS: Although the mortality and incidence of epilepsy are decreasing overall, they are increasing in the elderly as a result of population growth and increased life expectancy. Alzheimer's disease and other dementias are among the commonest causes of seizures and epilepsy. Epilepsy can be also complicated by cognitive impairment, suggesting a bidirectional association. Although epilepsy with onset in the elderly can be the manifestation of a CNS disease/injury, the cause of cognitive impairment is multifactorial and includes static (genetic background, age at seizure onset, developmental and acquired cerebral lesions) and dynamic factors [recurrent seizures, epileptiform discharges, type and number of AEDs and psychiatric comorbidities]. Most AEDs, with special reference to first-generation drugs, have negative effects on cognitive functions; however, none was found to increase the risk of dementia. SUMMARY: A net increase in the burden of epilepsy, dementia and epilepsy-dementia comorbidity is expected. The growing use of second-generation AEDs might help reducing adverse cognitive effects. However, the fairly high cost of these drugs might delay their widespread use in resource-poor countries. VIDEO ABSTRACT: http://links.lww.com/CONR/A49.

The Challenge of Antidepressant Therapeutics in Alzheimer's Disease.

The link between depression and Alzheimer's disease (AD) is controversial, because it is not clear if depression is an independent risk factor for the disease or a prodromal symptom in the older population. Cerebral amyloid-ß (Aß) peptide deposition is associated with both cognitive symptoms and neuropsychiatric symptoms (NPS), which may be a biological mechanism of compensation. Despite the widespread use of antidepressant therapeutics (30-50% of patients with AD/dementia are on antidepressants), there is mixed evidence regarding the benefits from their use in AD depression. Monoaminergic antidepressant drugs have shown only modest or no clinical benefits. Therefore, it is important to understand the reason of this drug-resistance and the relationship between antidepressant drugs and the Aß peptide. The goal of the present review is to highlight the etiology of depression in patients affected by AD in comparison to depressive disorders without AD, and to speculate on more appropriate and alternative therapeutics.

Psychotropic Drug Consumption and Employment Status in Time of Economic Crisis (2007-2011).

Psychiatric disorders and in particular depression have increased during the "Great Recession". The aim of this study was to investigate the consumption of psychotropic drugs in people who lost their permanent employment, using administrative data. The study considered all of the subjects domiciled in Lombardy, Northern Italy, who lost a permanent employment between 2008 and 2010, not assuming psychotropic drugs and who did not find a new job within the following 12 months. The control group included people who did not lose permanent job in the study period, matched to the cases for gender, age, nationality, skill level, education and economic sector, using propensity score matching. The subjects who lost their permanent employment were 17 % more likely to receive one or more drug prescriptions than the controls, but the difference was significant only for males. Females, subjects aged >50 years, low skill level workers and Italians were more likely to have received a prescription for psychotropic drugs than respectively males, subjects aged 20-29 years or aged 30-39 years, low skill level workers and non-Italians. The average number of drugs prescribed for those who lost their job and those who continued working was respectively 2.9 and 3.1. In conclusion, losing a permanent job increases significantly psychotropic drugs consumption in males but not in females.

Validation of a novel classification model of psychogenic nonepileptic seizures by video-EEG analysis and a machine learning approach.

The aim of this study was to validate a novel classification for the diagnosis of PNESs. Fifty-five PNES video-EEG recordings were retrospectively analyzed by four epileptologists and one psychiatrist in a blind manner and classified into four distinct groups: Hypermotor (H), Akinetic (A), Focal Motor (FM), and with Subjective Symptoms (SS). Eleven signs and symptoms, which are frequently found in PNESs, were chosen for statistical validation of our classification. An artificial neural network (ANN) analyzed PNES video recordings based on the signs and symptoms mentioned above. By comparing results produced by the ANN with classifications given by examiners, we were able to understand whether such classification was objective and generalizable. Through accordance metrics based on signs and symptoms (range: 0-100%), we found that most of the seizures belonging to class A showed a high degree of accordance (mean±SD=73%±5%); a similar pattern was found for class SS (80% slightly lower accordance was reported for class H (58%±18%)), with a minimum of 30% in some cases. Low agreement arose from the FM group. Seizures were univocally assigned to a given class in 83.6% of seizures. The ANN classified PNESs in the same way as visual examination in 86.7%. Agreement between ANN classification and visual classification reached 83.3% (SD=17.8%) accordance for class H, 100% (SD=22%) for class A, 83.3% (SD=21.2%) for class SS, and 50% (SD=19.52%) for class FM. This is the first study in which the validity of a new PNES classification was established and reached in two different ways. Video-EEG evaluation needs to be performed by an experienced clinician, but later on, it may be fed into ANN analysis, whose feedback will provide guidance for differential diagnosis. Our analysis, supported by the ML approach, showed that this model of classification could be objectively performed by video-EEG examination.

Conversation analysis in the differentiation of psychogenic nonepileptic and epileptic seizures in pediatric and adolescent settings.

The differential diagnosis of epileptic seizures (ES) and psychogenic nonepileptic seizures (PNES) is often difficult, especially in pediatric and adolescent settings. Conversation analysis (CA) can be a worthwhile diagnostic tool in adults. The aim of this study was to assess the diagnostic value of CA in Italian children and adolescents. Ten patients (seven females and three males), diagnosed using video-EEG as having either ES or PNES, underwent a video-recorded interview by a physician from outside the center specifically trained for this purpose. An external linguistic rater then examined the video recordings and transcripts using CA. Diagnoses formulated on the basis of interactional and linguistic features of the patients' speech were compared with diagnoses made by seizure experts on the basis of all available clinical information including the video-EEG findings. Conversation analysis diagnoses corresponded to the video-EEG diagnoses in 8 out of 10 cases. In conclusion, while some conversational adaptation is necessary to enable children and adolescents to share their seizure experiences with an adult health professional, this study indicates the differential diagnostic potential of a CA approach in these young people with PNES or epilepsy. Larger samples are obviously needed to confirm these findings.

Childhood trauma and psychogenic nonepileptic seizures: A review of findings with speculations on the underlying mechanisms.

OBJECTIVE: The objective of this review was to examine the possible link between psychological trauma in a patient's medical history and the onset of psychogenic nonepileptic seizures (PNES). METHODOLOGY: An electronic search of published reports was made using the search engines PubMed-MedLine, EBSCO, PsycINFO, SFX, and Embase and the keywords "PNES", "psychogenic seizures", "sexual abuse", and "trauma". RESULTS: A correlation emerged between history of childhood trauma and the presence of PNES. Antecedent trauma was more frequent in females than in males and in patients exhibiting psychiatric disorders but was inversely correlated with cognitive impairment. CONCLUSIONS: In the presence of PNES, it is important to accurately investigate the patient's medical history in search of psychological trauma, particularly in women and in patients with psychiatric disorders.

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.