Prevalence of Suicidality in Adolescents With Newly Diagnosed Focal Epilepsy at Diagnosis and Over the Following 36 Months.

BACKGROUND AND OBJECTIVES: Individuals with epilepsy have increased risk of suicidal ideation (SI) and behaviors when compared with the general population. This relationship has remained largely unexplored in adolescents. We investigated the prevalence of suicidality in adolescents with newly diagnosed focal epilepsy within 4 months of treatment initiation and over the following 36 months. METHODS: This was a post hoc analysis of the enrollment and follow-up data from the Human Epilepsy Project, an international, multi-institutional study that enrolled participants between 2012 and 2017. Participants enrolled were 11-17 years of age within 4 months of treatment initiation for focal epilepsy. We used data from the Columbia Suicide Severity Rating Scale (C-SSRS), administered at enrollment and over the 36-month follow-up period, along with data from medical records. RESULTS: A total of 66 adolescent participants were enrolled and completed the C-SSRS. At enrollment, 14 (21%) had any lifetime SI and 5 (8%) had any lifetime suicidal behaviors (SBs). Over the following 36 months, 6 adolescents reported new onset SI and 5 adolescents reported new onset SB. Thus, the lifetime prevalence of SI within this population increased from 21% to 30% (14-20 adolescents), and the lifetime prevalence of SB increased from 8% to 15% (5-10). DISCUSSION: The prevalence of suicidality in adolescents with newly diagnosed focal epilepsy reported in our study is consistent with previous findings of significant suicidality observed in epilepsy. We identify adolescents as an at-risk population at the time of epilepsy diagnosis and in the following years.

Resting-State EEG Signature of Early Consciousness Recovery in Comatose Patients with Traumatic Brain Injury.

BACKGROUND: Resting-state electroencephalography (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI). We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in patients with TBI. METHODS: This is a retrospective study of comatose patients with TBI who were admitted to a trauma center (October 2013 to January 2022). Demographics, basic clinical data, imaging characteristics, and EEGs were collected. We calculated the following using 10-min rsEEGs: power spectral density, permutation entropy (complexity measure), weighted symbolic mutual information (wSMI, global information sharing measure), Kolmogorov complexity (Kolcom, complexity measure), and heart-evoked potentials (the averaged EEG signal relative to the corresponding QRS complex on electrocardiography). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, and rsEEG data via a support vector machine. RESULTS: We studied 113 of 134 (84%) patients with rsEEGs. A total of 73 (65%) patients recovered consciousness before discharge. Patients who recovered consciousness were younger (40 vs. 50 years, p = 0.01). Patients who recovered also had higher Kolcom (U = 1688, p = 0.01), increased beta power (U = 1,652 p = 0.003) with higher variability across channels (U = 1534, p = 0.034) and epochs (U = 1711, p = 0.004), lower delta power (U = 981, p = 0.04), and higher connectivity across time and channels as measured by wSMI in the theta band (U = 1636, p = 0.026; U = 1639, p = 0.024) than those who did not recover. The area under the receiver operating characteristic curve for rsEEG was higher than that for clinical data (using age, motor response, pupil reactivity) and higher than that for the Marshall computed tomography classification (0.69 vs. 0.66 vs. 0.56, respectively; p < 0.001). CONCLUSIONS: We describe the rsEEG signature in recovery of consciousness prior to discharge in comatose patients with TBI. rsEEG measures performed modestly better than the clinical and imaging data in predicting recovery.

Anticipatory anxiety of seizures in epilepsy: A common, complex, and underrecognized phenomenon?

The diagnosis of epilepsy is associated with loss of predictability, which invariably results in the fear of when and if future seizures will occur. For a subset of patients with epilepsy (PWE), there may be a pathological persistent fear of seizure occurrence, resulting in limitations to daily activities through avoidant behaviors. Paradoxically, the research of anticipatory anxiety of seizures (AAS; also referred to as seizure phobia) has been practically nonexistent and, not surprisingly, this condition remains underrecognized by clinicians. The available data are derived from three small case series of patients followed in tertiary epilepsy centers. In this study, we review the available data on the reported clinical manifestations of AAS in PWE, and of the potential role of variables associated with it, such as personal and family psychosocial and psychiatric history and epilepsy-related variables. In addition, we review the need for the creation of screening tools to identify patients at risk of AAS and discuss potential treatment strategies, which could be considered as part of the comprehensive management for PWE.

Mood disorders in adults with epilepsy: a review of unrecognized facts and common misconceptions.

Epilepsy is one of the most common neurologic conditions. Its clinical manifestations are not restricted to seizures but often include cognitive disturbances and psychiatric disorders. Prospective population-based studies have shown that people with epilepsy have an increased risk of developing mood disorders, and people with a primary mood disorder have an increased risk of developing epilepsy. The existence of common pathogenic mechanisms in epilepsy and mood disorders may explain the bidirectional relation between these two conditions. Recognition of a personal and family psychiatric history at the time of evaluation of people for a seizure disorder is critical in the selection of antiseizure medications: those with mood-stabilizing properties (e.g., lamotrigine, oxcarbazepine) should be favoured as a first option in those with a positive history while those with negative psychotropic properties (e.g., levetiracetam, topiramate) avoided. While mood disorders may be clinically identical in people with epilepsy, they often present with atypical manifestations that do not meet ICD or DSM diagnostic criteria. Failure to treat mood disorders in epilepsy may have a negative impact, increasing suicide risk and iatrogenic effects of antiseizure medications and worsening quality of life. Treating mood disorders in epilepsy is identical to those with primary mood disorders. Yet, there is a common misconception that antidepressants have proconvulsant properties. Most antidepressants are safe when prescribed at therapeutic doses. The incidence of seizures is lower in people randomized to antidepressants than placebo in multicenter randomized placebo-controlled trials of people treated for a primary mood disorder. Thus, there is no excuse not to prescribe antidepressant medications to people with epilepsy.

Resting-State EEG Signature of Early Consciousness Recovery in Comatose Traumatic Brain Injury Patients.

Background Resting-state electroencephalogram (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI) patients. We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in comatose TBI patients. Methods This is a retrospective study of comatose TBI patients who were admitted to a level-1 trauma center (10/2013-1/2022). Demographics, basic clinical data, imaging characteristics, and EEG data were collected. We calculated using 10-minute rsEEGs: power spectral density (PSD), permutation entropy (PE - complexity measure), weighted symbolic-mutual-information (wSMI - global information sharing measure), Kolmogorov complexity (Kolcom - complexity measure), and heart-evoked potentials (HEP - the averaged EEG signal relative to the corresponding QRS complex on electrocardiogram). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, rsEEG data via Support Vector Machine with a linear kernel (SVM). Results We studied 113 (out of 134, 84%) patients with rsEEGs. A total of 73 (65%) patients recovered consciousness before discharge. Patients who recovered consciousness were younger (40 vs. 50, p .01). Patients who recovered consciousness had higher Kolcom (U = 1688, p = 0.01,), increased beta power (U = 1652 p = 0.003), with higher variability across channels ( U = 1534, p = 0.034), and epochs (U = 1711, p = 0.004), lower delta power (U = 981, p = 0.04) and showed higher connectivity across time and channels as measured by wSMI in the theta band (U = 1636, p = .026, U = 1639, p = 0.024) than those who didn't recover. The ROC-AUC improved from 0.66 (using age, motor response, pupils' reactivity, and CT Marshall classification) to 0.69 (p < 0.001) when adding rsEEG measures. Conclusion We describe the rsEEG EEG signature in recovery of consciousness prior to discharge in comatose TBI patients. Resting-state EEG measures improved prediction beyond the clinical and imaging data.

Mood and Anxiety Disorders and Suicidality in Patients With Newly Diagnosed Focal Epilepsy: An Analysis of a Complex Comorbidity.

BACKGROUND AND OBJECTIVES: Mood, anxiety disorders, and suicidality are more frequent in people with epilepsy than in the general population. Yet, their prevalence and the types of mood and anxiety disorders associated with suicidality at the time of the epilepsy diagnosis are not established. We sought to answer these questions in patients with newly diagnosed focal epilepsy and to assess their association with suicidal ideation and attempts. METHODS: The data were derived from the Human Epilepsy Project study. A total of 347 consecutive adults aged 18-60 years with newly diagnosed focal epilepsy were enrolled within 4 months of starting treatment. The types of mood and anxiety disorders were identified with the Mini International Neuropsychiatric Interview, whereas suicidal ideation (lifetime, current, active, and passive) and suicidal attempts (lifetime and current) were established with the Columbia Suicidality Severity Rating Scale (CSSRS). Statistical analyses included the t test, χ2 statistics, and logistic regression analyses. RESULTS: A total of 151 (43.5%) patients had a psychiatric diagnosis; 134 (38.6%) met the criteria for a mood and/or anxiety disorder, and 75 (21.6%) reported suicidal ideation with or without attempts. Mood (23.6%) and anxiety (27.4%) disorders had comparable prevalence rates, whereas both disorders occurred together in 43 patients (12.4%). Major depressive disorders (MDDs) had a slightly higher prevalence than bipolar disorders (BPDs) (9.5% vs 6.9%, respectively). Explanatory variables of suicidality included MDD, BPD, panic disorders, and agoraphobia, with BPD and panic disorders being the strongest variables, particularly for active suicidal ideation and suicidal attempts. DISCUSSION: In patients with newly diagnosed focal epilepsy, the prevalence of mood, anxiety disorders, and suicidality is higher than in the general population and comparable to those of patients with established epilepsy. Their recognition at the time of the initial epilepsy evaluation is of the essence.

Source-sink connectivity: a novel interictal EEG marker for seizure localization.

Over 15 million epilepsy patients worldwide have drug-resistant epilepsy. Successful surgery is a standard of care treatment but can only be achieved through complete resection or disconnection of the epileptogenic zone, the brain region(s) where seizures originate. Surgical success rates vary between 20% and 80%, because no clinically validated biological markers of the epileptogenic zone exist. Localizing the epileptogenic zone is a costly and time-consuming process, which often requires days to weeks of intracranial EEG (iEEG) monitoring. Clinicians visually inspect iEEG data to identify abnormal activity on individual channels occurring immediately before seizures or spikes that occur interictally (i.e. between seizures). In the end, the clinical standard mainly relies on a small proportion of the iEEG data captured to assist in epileptogenic zone localization (minutes of seizure data versus days of recordings), missing opportunities to leverage these largely ignored interictal data to better diagnose and treat patients. IEEG offers a unique opportunity to observe epileptic cortical network dynamics but waiting for seizures increases patient risks associated with invasive monitoring. In this study, we aimed to leverage interictal iEEG data by developing a new network-based interictal iEEG marker of the epileptogenic zone. We hypothesized that when a patient is not clinically seizing, it is because the epileptogenic zone is inhibited by other regions. We developed an algorithm that identifies two groups of nodes from the interictal iEEG network: those that are continuously inhibiting a set of neighbouring nodes ('sources') and the inhibited nodes themselves ('sinks'). Specifically, patient-specific dynamical network models were estimated from minutes of iEEG and their connectivity properties revealed top sources and sinks in the network, with each node being quantified by source-sink metrics. We validated the algorithm in a retrospective analysis of 65 patients. The source-sink metrics identified epileptogenic regions with 73% accuracy and clinicians agreed with the algorithm in 93% of seizure-free patients. The algorithm was further validated by using the metrics of the annotated epileptogenic zone to predict surgical outcomes. The source-sink metrics predicted outcomes with an accuracy of 79% compared to an accuracy of 43% for clinicians' predictions (surgical success rate of this dataset). In failed outcomes, we identified brain regions with high metrics that were untreated. When compared with high frequency oscillations, the most commonly proposed interictal iEEG feature for epileptogenic zone localization, source-sink metrics outperformed in predictive power (by a factor of 1.2), suggesting they may be an interictal iEEG fingerprint of the epileptogenic zone.

Suicidality in Patients With Epilepsy: Why Should Neurologists Care?

Suicidality is a relatively common comorbidity in patients with epilepsy (PWE). Population-based studies have revealed lifetime prevalence rates of 25% of suicidal ideation (SI). In addition, PWE without comorbid psychiatric disorders has two to three higher risk of committing suicide and this risk increases by 12- to 32-fold in the presence of various psychiatric disorders. Risk factors are multiple and include socio-demographic, genetic, age and gender, and psychiatric comorbidities. Among the latter, mood, anxiety, and psychotic disorders have been found to be common risk factors for suicidality in PWE, but iatrogenic causes resulting from pharmacotherapy with antiseizure drugs or epilepsy surgery can also cause SI and behavior. Suicidality and epilepsy have a complex bidirectional relation, whereas PWE are at increased risk of suicidality and vice-versa. Common pathogenic mechanisms operant in both conditions may explain this bidirectional relation. SI can be easily identified in outpatient epilepsy clinics with screening instruments and can be treated and thus prevent its escalation to suicidal attempts and completed suicide. The aim of this manuscript is to review these data in detail.

Antiseizure Medications for Adults With Epilepsy: A Review.

Importance: Epilepsy affects approximately 65 million people worldwide. Persistent seizures are associated with a 20% to 40% risk of bodily injuries (eg, fractures, burns, concussions) over 12-month follow-up. The primary goal of epilepsy treatment is to eliminate seizures while minimizing adverse effects of antiseizure drugs (ASDs). Observations: An epileptic seizure is defined as a sudden occurrence of transient signs and symptoms caused by abnormal and excessive or synchronous neuronal activity in the brain. Focal and generalized epilepsy are the 2 most frequent types of epilepsy; diagnosis is based on the type of seizures. There are 26 US Food and Drug Administration-approved medications for epilepsy, of which 24 have similar antiseizure efficacy for focal epilepsy and 9 have similar efficacy for generalized epilepsy. The decision to initiate an ASD should be individualized, but should be strongly considered after 2 unprovoked seizures or after 1 unprovoked seizure that occurred during sleep and/or in the presence of epileptiform activity on an electroencephalogram and/or in the presence of a structural lesion on the brain magnetic resonance imaging. The ASDs must be selected based on the seizure and epilepsy types, the epilepsy syndrome, and the adverse effects associated with the drug. For focal epilepsy, oxcarbazepine and lamotrigine are first-line therapy, while levetiracetam can be also considered if there is no history of psychiatric disorder. For generalized epilepsy, the selection of the ASD is based on the type of epilepsy syndrome and the patient's sex, age, and psychiatric history. Seizure freedom is achieved in approximately 60% to 70% of all patients. A total of 25% to 50% of patients also experience neurologic, psychiatric, cognitive, or medical disorders, such as mood, anxiety, and attention deficit disorders and migraines. For these patients, selecting an ASD should consider the presence of these disorders and concomitant use of medications to treat them. ASDs with cytochrome P450 enzyme-inducing properties (eg, carbamazepine, phenytoin) may worsen comorbid coronary and cerebrovascular disease by causing hyperlipidemia and accelerating the metabolism of concomitant drugs used for their treatment. They can also facilitate the development of osteopenia and osteoporosis. Conclusions and Relevance: Epilepsy affects approximately 65 million people worldwide and is associated with increased rates of bodily injuries and mortality when not optimally treated. For focal and generalized epilepsy, selection of ASDs should consider the seizure and epilepsy types and epilepsy syndrome, as well as the patient's age and sex, comorbidities, and potential drug interactions.

Long-term seizure and psychiatric outcomes following laser ablation of mesial temporal structures.

OBJECTIVE: Postsurgical seizure outcome following laser interstitial thermal therapy (LiTT) for the management of drug-resistant mesial temporal lobe epilepsy (MTLE) has been limited to 2 years. Furthermore, its impact on presurgical mood and anxiety disorders has not been investigated. The objectives of this study were (1) to identify seizure outcome changes over a period ranging from 18 to 81 months; (2) to investigate the seizure-free rate in the last follow-up year; (3) to identify the variables associated with seizure freedom; and (4) to identify the impact of LiTT on presurgical mood and anxiety disorders. METHODS: Medical records of all patients who underwent LiTT for MTLE from 2013 to 2019 at the University of Miami Comprehensive Epilepsy Center were retrospectively reviewed. Demographic, epilepsy-related, cognitive, psychiatric, and LiTT-related data were compared between seizure-free (Engel Class I) and non-seizure-free (Engel Class II + III + IV) patients. Statistical analyses included univariate and multivariate stepwise logistic regression analyses. RESULTS: Forty-eight patients (mean age = 43 ± 14.2 years, range = 21-78) were followed for a mean period of 50 ± 20.7 months (range = 18-81); 29 (60.4%) achieved an Engel Class I outcome, whereas 11 (22.9%) had one to three seizures/year. Seizure-freedom rate decreased from 77.8% to 50% among patients with 24- and >61-month follow-up periods, respectively. In the last follow-up year, 83% of all patients were seizure-free. Seizure freedom was associated with having mesial temporal sclerosis (MTS), no presurgical focal to bilateral tonic-clonic seizures, and no psychopathology in the last follow-up year. Presurgical mood and/or anxiety disorder were identified in 30 patients (62.5%) and remitted after LiTT in 19 (62%). SIGNIFICANCE: LiTT appears to be a safe and effective surgical option for treatment-resistant MTLE, particularly among patients with MTS. Remission of presurgical mood and anxiety disorders can also result from LiTT.

Neuropsychiatric Treatments for Epilepsy: Nonpharmacological Approaches.

Neuropsychiatric conditions are frequently found in patients with epilepsy (PWE). These entities can be as disabling as epilepsy resulting in a significant negative impact on the quality of life of this population if not addressed and treated appropriately. In this article, we provide an overview of non-pharmacological treatments currently available to these patients-and review their effect on mood and anxiety disorders as well as epilepsy. These treatment strategies will allow the practitioner to optimize clinical care during the initial evaluation, which begins with the recognition of the neuropsychiatric condition followed by the appropriate individualized psychotherapeutic approach and/or neuromodulation therapy. To plan a comprehensive treatment for PWE, practitioners must be familiar with these therapeutic tools. Additional clinical research is needed to further create a multidisciplinary team in the assessment and management of neuropsychiatric disorders in PWE.

Bidirectional Relations Among Depression, Migraine, and Epilepsy: Do They Have an Impact on Their Response to Treatment?

The evaluation and treatment of patients with epilepsy is not limited to the type of epilepsy, but it must incorporate the common comorbid neurologic, psychiatric, and medical disorders, as the latter can bare an impact on the course and response to treatment of the seizure disorder and vice versa. In this article we review the bidirectional relations among epilepsy and two of its most common comorbidities, mood disorders and migraine and examine the implications of these relations on the selection of therapies of these three disorders and their response to treatment. We also review the most salient common pathogenic mechanisms that may explain such relations.

ILAE clinical practice recommendations for the medical treatment of depression in adults with epilepsy.

The aim of this document is to provide evidence-based recommendations for the medical treatment of depression in adults with epilepsy. The working group consisted of members of an ad hoc Task Force of the International League Against Epilepsy (ILAE) Commission on Psychiatry, ILAE Executive and the International Bureau for Epilepsy (IBE) representatives. The development of these recommendations is based on a systematic review of studies on the treatment of depression in adults with epilepsy, and a formal adaptation process of existing guidelines and recommendations of treatment of depression outside epilepsy using the ADAPTE process. The systematic review identified 11 studies on drug treatments (788 participants, class of evidence III and IV); 13 studies on psychological treatments (998 participants, class of evidence II, III and IV); and 2 studies comparing sertraline with cognitive behavioral therapy (CBT; 155 participants, class of evidence I and IV). The ADAPTE process identified the World Federation of Societies of Biological Psychiatry guidelines for the biological treatment of unipolar depression as the starting point for the adaptation process. This document focuses on first-line drug treatment, inadequate response to first-line antidepressant treatment, and duration of such treatment and augmentation strategies within the broader context of electroconvulsive therapy, psychological, and other treatments. For mild depressive episodes, psychological interventions are first-line treatments, and where medication is used, selective serotonin reuptake inhibitors (SSRIs) are first-choice medications (Level B). SSRIs remain the first-choice medications (Level B) for moderate to severe depressive episodes; however, in patients who are partially or non-responding to first-line treatment, switching to venlafaxine appears legitimate (Level C). Antidepressant treatment should be maintained for at least 6 months following remission from a first depressive episode but it should be prolonged to 9 months in patients with a history of previous episodes and should continue even longer in severe depression or in cases of residual symptomatology until such symptoms have subsided.

Association Between Migraine Comorbidity and Psychiatric Symptoms Among People With Newly Diagnosed Focal Epilepsy.

OBJECTIVE: Little is known about psychiatric symptoms among patients with migraine and newly diagnosed focal epilepsy. The investigators compared symptoms of depression, anxiety, and suicidality among people with newly diagnosed focal epilepsy with migraine versus without migraine. METHODS: The Human Epilepsy Project is a prospective multicenter study of patients with newly diagnosed focal epilepsy. Depression (measured with the Center for Epidemiologic Studies Depression Scale), anxiety (measured with the 7-item Generalized Anxiety Disorder scale), and suicidality scores (measured with the Columbia-Suicide Severity Rating Scale [C-SSRS]) were compared between participants with versus without migraine. Data analysis was performed with the Kolmogorov-Smirnov test for normality assessment, the Mann-Whitney U test, chi-square test, and linear regression. RESULTS: Of 349 patients with new-onset focal epilepsy, 74 (21.2%) had migraine. There were no differences between the patients without migraine versus those with migraine in terms of age, race, and level of education. There were more women in the group with migraine than in the group without migraine (75.7% vs. 55.6%, p=0.0018). The patients with epilepsy and comorbid migraine had more depressive symptoms than the patients with epilepsy without migraine (35.2% vs. 22.7%, p=0.031). Patients with epilepsy with comorbid migraine had more anxiety symptoms than patients with epilepsy without migraine, but this relation was mediated by age in logistic regression, with younger age being associated with anxiety. Comorbid migraine was not associated with C-SSRS ideation or behavior. CONCLUSIONS: Among a sample of patients with newly diagnosed focal epilepsy, 21.2% had migraine. Migraine comorbidity was associated with higher incidence of depressive symptoms. Future studies should be performed to better assess these relationships and possible treatment implications.

Does a psychiatric history play a role in the development of psychiatric adverse events to perampanel and to placebo?

OBJECTIVE: The purpose of this study was to establish whether a past psychiatric history could play a role in the development of psychiatric treatment-emergent adverse events (PTEAEs) in patients randomized to perampanel (PER) or placebo. METHODS: The development of PTEAEs was compared between patients with/without a psychiatric history in a post hoc analysis from four randomized placebo-controlled trials (RPCTs) of PER (304/305/306/335) in patients with treatment-resistant focal epilepsy. RESULTS: Among the 2,187 patients enrolled in the RPCTs, 352 (16.1%) had a psychiatric history (PER n = 244; placebo n = 108), while 1835 patients (83.9%) did not (PER n = 1325; placebo n = 510). Compared to patients without a psychiatric history, those with a positive history reported more PTEAEs for both patients randomized to PER (11.8% vs. 29.9%, p < 0.01) or to placebo (9.2% vs. 19.4%, p < 0.01). The prevalence of PTEAEs was not higher among patients randomized to 2 mg and 4 mg/day doses than placebo in both those with and without psychiatric history. Rather, the higher prevalence rates were among subjects randomized to 8 mg (29.8%) and 12 mg (36.4%) PER doses in patients with a past psychiatric history. SIGNIFICANCE: A psychiatric history appears to increase the risk of PTEAEs in patients randomized to placebo and to PER at doses of 8 and 12 mg/day. It should be identified in all patients considered for treatment with PER, particularly when prescribed at doses above 4 mg/day.

Neural fragility as an EEG marker of the seizure onset zone.

Over 15 million patients with epilepsy worldwide do not respond to drugs. Successful surgical treatment requires complete removal or disconnection of the seizure onset zone (SOZ), brain region(s) where seizures originate. Unfortunately, surgical success rates vary between 30 and 70% because no clinically validated biological marker of the SOZ exists. We develop and retrospectively validate a new electroencephalogram (EEG) marker-neural fragility-in a retrospective analysis of 91 patients by using neural fragility of the annotated SOZ as a metric to predict surgical outcomes. Fragility predicts 43 out of 47 surgical failures, with an overall prediction accuracy of 76% compared with the accuracy of clinicians at 48% (successful outcomes). In failed outcomes, we identify fragile regions that were untreated. When compared to 20 EEG features proposed as SOZ markers, fragility outperformed in predictive power and interpretability, which suggests neural fragility as an EEG biomarker of the SOZ.