Depression and epilepsy: epidemiologic and neurobiologic perspectives that may explain their high comorbid occurrence

Psychiatric comorbid disorders and impulsivity in patients with drug-resistant temporal and extra-temporal focal epilepsies

PURPOSE

To analyze patients with drug-resistant focal epilepsy from temporal (TLE) and extra-temporal origin (ETE) and to compare the prevalence of psychiatric comorbid disorders and impulsivity between them and a control group.

METHODS

Consecutively studied patients with TLE and ETE confirmed with Video-EEG were included. Standardized psychiatric assessment was conducted using the Structured Clinical Interview for Axis I and II diagnosis of DSM-IV (SCID I-II), the Barrat-11 scale for impulsivity, and Beck inventory for depression. Parametric and nonparametric tests were performed.

RESULTS

Seventy-three patients with temporal lobe epilepsy (TLE), 21 extra-temporal epilepsy (ETE) and 58 healthy control subjects were included. Both groups of patients showed a high frequency of Axis I comorbid psychiatric disorders: Depression was the most frequent disorder followed by Anxiety Disorders. Furthermore, Axis II (Personality disorders) were also diagnosed, similarly in both groups of patients (p > 0.05). In addition, both TLE and ETE groups presented higher impulsivity scores compared with the control group (p < 0.01). ETE showed a tendency to a higher impulsivity in the motor factor (p = 0.05). Among patients with TLE, a left laterality of the epileptogenic zone, and the presence of comorbid psychiatric disorders (depression), were found as independent factors associated with higher impulsivity (p < 0.05).

CONCLUSION

Comorbid depression associated with higher impulsivity are important issues to consider in behavioral and clinical evaluation of patients with drug-resistant focal epilepsies, with the aim to set up a prompt treatment.

Post-Traumatic Stress-Disorder in Epilepsy: Meta-analysis of current evidence

Epilepsy, a chronic neurological condition characterized by unpredictable seizures, poses considerable challenges, including disability, stigma, and increased mortality. Psychiatric comorbidities are prevalent in 20-30% of epilepsy patients, notably mood or anxiety disorders, psychotic symptoms, and personality disorders. Trauma and childhood adversities are pivotal risk factors for psychopathology, yet the link between Post-Traumatic Stress Disorder (PTSD) and epilepsy remains underexplored. This meta-analysis is aimed to establish updated estimates of PTSD prevalence among individuals with epilepsy. Fifteen studies, comprising 996 epilepsy patients, were included. The overall pooled prevalence of PTSD in epilepsy patients was 18%. Notably, patients with epilepsy exhibited a three-fold increased risk of developing PTSD compared to the general population. Subgroup analysis revealed a higher PTSD prevalence in uncontrolled studies (25%) compared to controlled studies (14%). Additionally, patients with Psychogenic Non-Epileptic Seizures (PNES) demonstrated higher PTSD prevalence than epilepsy patients, with a threefold higher risk in healthy controls compared to PNES controls. While gender prevalence did not significantly affect PTSD occurrence, drug resistant epilepsy did not correlate with PTSD prevalence. Moreover, age of epilepsy onset showed no significant correlation with PTSD prevalence. This meta-analysis underscores the substantial burden of PTSD among epilepsy patients, potentially attributable to the traumatic nature of seizures and the chronic stigma associated with epilepsy. Improved recognition and management of psychiatric conditions, particularly PTSD, are crucial in epilepsy care pathways to enhance patients' quality of life. Further research and comprehensive diagnostic tools are imperative to better understand and address the prevalence of PTSD in epilepsy patients.

Different psychopathological courses between chronic interictal psychosis and schizophrenia

OBJECTIVE

The clinical course of interictal psychosis (IIP) has not yet been investigated. We aimed to compared the psychopathology and time-relevant indices between chronic IIP (CIIP) and schizophrenia (SC) METHODS: In this comprehensive psychopathological study, patients with chronic psychosis with and without epilepsy (127 with CIIP and 187 with SC) were compared. Psychopathology was measured using the Brief Psychiatric Rating Scale (BPRS): total, negative symptoms (NSs), positive symptoms (PSs), and anxiety-depressive symptoms (ADSs). Time-relevant indices included age at the time of evaluation, age at the onset of psychosis, and duration of psychosis. The psychopathology of psychosis types and time-relevant indices were analyzed using Pearson's correlation coefficient analysis of covariance.

RESULTS

　Age at the time of evaluation was significantly correlated with NS, and ADS scores. Age-relevant trajectories significantly interacted with psychosis types. As age advanced, patients with SC exhibited increased scores, whereas patients with CIIP often exhibited decreased (or unchanged) scores. Age at onset of psychosis was significantly correlated with NS and ADS outcomes in patients with CIIP, whereas it was not correlated in patients with SC. There were significant interactions between age at onset and psychosis types. Patients with early-onset CIIP exhibited higher NS and lower ADS scores, whereas patients with SC exhibited no particular trajectory. The duration of psychosis significantly interacted with the psychosis types in the BPRS total, NSs and PSs. As duration increased, patients with CIIP exhibited no significant relationship, whereas patients with SC exhibited significantly higher psychotic scores.

CONCLUSION

Psychopathological courses differ between patients with CIIP and SC. Although patients with SC often exhibit deteriorations in psychotic symptoms, patients with CIIP exhibit no distinct deterioration. These findings can contribute psychiatric nosology, treatment strategies, and prediction outcomes.

The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials

Seizures have a profound impact on quality of life and mortality, in part because they can be challenging both to detect and forecast. Seizure detection relies upon accurately differentiating transient neurological symptoms caused by abnormal epileptiform activity from similar symptoms with different causes. Seizure forecasting aims to identify when a person has a high or low likelihood of seizure, which is related to seizure prediction. Machine learning and artificial intelligence are data-driven techniques integrated with neurodiagnostic monitoring technologies that attempt to accomplish both of those tasks. In this narrative review, we describe both the existing software and hardware approaches for seizure detection and forecasting, as well as the concepts for how to evaluate the performance of new technologies for future application in clinical practice. These technologies include long-term monitoring both with and without electroencephalography (EEG) that report very high sensitivity as well as reduced false positive detections. In addition, we describe the implications of seizure detection and forecasting upon the evaluation of novel treatments for seizures within clinical trials. Based on these existing data, long-term seizure detection and forecasting with machine learning and artificial intelligence could fundamentally change the clinical care of people with seizures, but there are multiple validation steps necessary to rigorously demonstrate their benefits and costs, relative to the current standard.

Tactile stimulation of young WAG/Rij rats prevents development of depression but not absence epilepsy

Investigations in Wistar Albino Glaxo from Rijswijk (WAG/Rij) rats that are susceptible to genetic absence epilepsy have demonstrated that environmental modifications affect absence seizures. Previously, we showed that neonatal tactile stimulations produce disease-modifying effect on genetically determined absence epilepsy and associated depression in Wag/Rij rats. The study presented here examined the effect of TS during late ontogenesis (adolescence and young adulthood) on epilepsy and depression outcomes in this genetically epileptic rat strain. On postnatal day (PND) 38, male WAG/Rij rats randomly were assigned to either the tactile stimulation (TS), handled or control group (unhandled) with 8 animals in each group. Following a 7-day adaptation period to their new surroundings, the animals were submitted to tactile stimulation from PND 45 to PND 90, five days per week, for 5 min daily. The tactile-stimulated rat was removed from its cage, placed on the experimenter's lap, and had its neck and back gently stroked by the researcher. The handled rats were taken to another cage and left alone for 5 min daily from PND 45 to PND 90. The control rats were left undisturbed in their home cage, except for regular cage cleaning. After PND 90, all rats were left undisturbed until behavioral testing and EEG recording. When the animals were 7 months old, they were subjected to the sucrose consumption test (SCT) and the forced swimming test (FST). Electroencephalogram (EEG) recordings were made at 8 months of age in order to measure electroencephalographic seizure activity, thus, the spike-wave discharges (SWDs). Tactile-stimulated rats showed increased sucrose consumption and number of approaches to the sucrose solution in the SCT when compared with the handled and control rats. In the FST, rats in TS group showed lower immobility time and greater immobility latency, active swimming time and diving frequency than the handled and control rats. The duration and the number of seizures were not different amongst the groups. The data obtained suggest that TS in young rats is able to prevent depression in WAG/Rij rats.

Aerobic exercise improves depressive symptoms in the unilateral 6-OHDA-lesioned rat model of Parkinson's disease

Aerobic exercise has been shown to have established benefits on motor function in Parkinson's disease (PD). However, the impact of exercise on depressive symptoms in PD remains unclear. This study aimed to investigate the effects of regular exercise, specifically using a forced running wheel, on both motor performance and the prevalence of depression in a unilateral 6-OHDA-lesioned rat model of PD. The behavioral outcomes of exercise were assessed through the rotarod test (RT), forelimb adjusting step test (FAST), sucrose consumption test (SCT), and novelty sucrose splash test (NSST). Our data revealed evident depressive symptoms in the PD animals, characterized by reduced sucrose consumption in the SCT and diminished exploratory activity in the NSST compared to the naïve control group. Specifically, after 11 weeks of exercise, the PD exercise group demonstrated the most significant improvements in sucrose consumption in the SCT. Additionally, this group exhibited reduced immobility and increased exploratory behavior compared to the PD control group in the NSST. Furthermore, the PD exercise group displayed the greatest improvement in correcting forelimb stepping bias. Our results suggested that a regimen of running wheel exercise enhances motor abilities and mitigates the occurrence of depressive behaviors caused by 6-OHDA dopamine depletion in the PD rat model.

Identifying Myoclonic Epilepsy Misdiagnosed as Psychogenic Nonepileptic Seizures: Challenges in Differential Diagnosis

Psychogenic nonepileptic seizures (PNES) and epileptic seizures often present with similar clinical manifestations. This case report describes the diagnostic journey of a 24-year-old female initially diagnosed with PNES but later found to have myoclonic epilepsy upon comprehensive evaluation. The patient presented with recurrent episodes characterized by sudden loss of awareness, jerking movements, and urinary incontinence, often triggered by stressors. Initial assessment, including video-electroencephalography (EEG) monitoring, did not reveal epileptiform activity, leading to the provisional diagnosis of PNES. However, the persistence of symptoms and doubts regarding the diagnosis prompted further investigation, which uncovered generalized spike-and-wave discharges on repeat EEG studies. The diagnosis of myoclonic epilepsy was established based on these findings, and treatment with valproate resulted in a significant reduction in seizure frequency. This case underscores the importance of a thorough evaluation in distinguishing between seizure disorders and psychogenic manifestations, emphasizing the need for collaborations between neurology and psychology disciplines for accurate diagnosis and management.

Strategic pathway analysis for dual management of epilepsy and comorbid depression: a systems biology perspective

Depression is a common psychiatric comorbidity among patients with epilepsy (PWE), affecting more than a third of PWE. Management of depression may improve quality of life of epileptic patients. Unfortunately, available antidepressants worsen epilepsy by reducing the seizure threshold. This situation demands search of new safer target for combined directorate of epilepsy and comorbid depression. A system biology approach may be useful to find novel pathways/markers for the cure of both epilepsy and associated depression via analyzing available genomic and proteomic information. Hence, the system biology approach using curated 64 seed genes involved in temporal lobe epilepsy and mental depression was applied. The interplay of 600 potential proteins was revealed by the Disease Module Detection (DIAMOnD) Algorithm for the treatment of both epilepsy and comorbid depression using these seed genes. The gene enrichment analysis of seed and diamond genes through DAVID suggested 95 pathways. Selected pathways were refined based on their syn or anti role in epilepsy and depression. In conclusion, total 8 pathways and 27 DIAMOnD genes/proteins were finally deduced as potential new targets for modulation of selected pathways to manage epilepsy and comorbid depression.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40203-024-00208-1.

EEG changes induced by meditative practices: State and trait effects in healthy subjects and in patients with epilepsy

The effect of meditation on brain activity has been the topic of many studies in healthy subjects and in patients suffering from chronic diseases. These effects are either explored during meditation practice (state effects) or as a longer-term result of meditation training during the resting-state (trait). The topic of this article is to first review these findings by focusing on electroencephalography (EEG) changes in healthy subjects with or without experience in meditation. Modifications in EEG baseline rhythms, functional connectivity and advanced nonlinear parameters are discussed in regard to feasibility in clinical applications. Secondly, we provide a state-of-the-art of studies that proposed meditative practices as a complementary therapy in patients with epilepsy, in whom anxiety and depressive symptoms are prevalent. In these studies, the effects of standardized meditation programs including elements of traditional meditation practices such as mindfulness, loving-kindness and compassion are explored both at the level of psychological functioning and on the occurrence of seizures. Lastly, preliminary results are given regarding our ongoing study, the aim of which is to quantify the effects of a mindfulness self-compassion (MSC) practice on interictal and ictal epileptic activity. Feasibility, difficulties, and prospects of this study are discussed.

Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption

Epilepsy is a common neurological disorder associated with alterations in cortical and subcortical brain networks. Despite a historical focus on gray matter regions involved in seizure generation and propagation, the role of white matter (WM) network disruption in epilepsy and its comorbidities has sparked recent attention. In this review, we describe patterns of WM alterations observed in focal and generalized epilepsy syndromes and highlight studies linking WM disruption to cognitive and psychiatric comorbidities, drug resistance, and poor surgical outcomes. Both tract-based and connectome-based approaches implicate the importance of extratemporal and temporo-limbic WM disconnection across a range of comorbidities, and an evolving literature reveals the utility of WM patterns for predicting outcomes following epilepsy surgery. We encourage new research employing advanced analytic techniques (e.g., machine learning) that will further shape our understanding of epilepsy as a network disorder and guide individualized treatment decisions. We also address the need for research that examines how neuromodulation and other treatments (e.g., laser ablation) affect WM networks, as well as research that leverages larger and more diverse samples, longitudinal designs, and improved magnetic resonance imaging acquisitions. These steps will be critical to ensuring generalizability of current research and determining the extent to which neuroplasticity within WM networks can influence patient outcomes.

Using the hospital anxiety and depression scale in people with epilepsy: Is overlapping symptomatology a problem?

The Hospital Anxiety and Depression Scale (HADS) is designed to screen for anxiety and depression in clinical settings. However, some items on the HADS may reflect symptoms associated with epilepsy and antiseizure medications rather than anxiety and depression. This study examined whether these items on the HADS contributed disproportionately to the reporting of anxiety and depression on the HADS in people with epilepsy (PWE). As part of a routine clinical assessment, 546 adults with epilepsy completed the HADS. In our sample, 56.2% reported elevated levels of anxiety, and 27.3% reported symptoms of depression with a score of 8 or more on the respective subscales. Scores on the anxiety and depression subscales were not associated with age, sex or epilepsy type. We did not find a relationship between endorsement of items related to panic, feelings of dread or butterflies in the stomach and a diagnosis of temporal lobe epilepsy. The most frequently endorsed item on the anxiety subscale of the HADS in the sample as a whole related to worrying thoughts, rather than the more somatic manifestations of anxiety. The item 'I feel as if I am slowed down' was endorsed by the majority of people with epilepsy and may not reflect a symptom of depression in this group. Careful analyses of the pattern of endorsement of specific items on the HADS may improve the sensitivity of this screening measure to the presence of depression in people with epilepsy.

A protocol for a pooled analysis of cohort studies: The association between depression and anxiety in epileptic disorders

BACKGROUND/INTRODUCTION

Depressive and anxiety disorders constitute major mental health challenges affecting adults of all ages globally. It has been reported that individuals with depressive or anxiety disorders face an elevated risk of developing neurological conditions, including seizures and epilepsy. Additionally, people with these disorders tend to exhibit distinct clinical outcomes compared to the general population. However, the associations between depressive or anxiety disorders and epilepsy remain contentious. Thus, this study aims to elucidate the associations between these neuropsychiatric disorders, including depressive and anxiety disorders, and epilepsy or seizures.

METHODS

We will systematically search three electronic databases-PubMed, EMBASE, and the Cochrane Library-from inception through March 2023 to identify relevant cohort studies investigating the associations between depressive or anxiety disorders and epilepsy or seizures. Two independent reviewers will extract data from eligible studies using pre-designed standardized data extraction forms, and cross-check results. A third author will resolve any discrepancies. Quality assessment will be performed using the Newcastle-Ottawa Quality Assessment Scale (NOS). Pooled risk estimates (Relative risks or hazard ratios with their 95% CI) will be calculated using the DerSimonian-Laird random-effects model. If between-study heterogeneity is identified, we will conduct subgroup analyses or meta-regressions to explore the possible sources of heterogeneity (participants, exposure, outcome, and study design) stratified by various study characteristics. Potential publication bias will be detected through the inspection of funnel plot asymmetry, complemented by the Egger linear regression approach (Egger's test) and the Begg rank correlation test (Begg's test).

DISCUSSION

This pooled analysis will evaluate the association between depressive or anxiety disorders and epilepsy or seizures, providing high-level evidence to inform early identification and prevention strategies for epilepsy or seizures.

ETHICS AND DISSEMINATION

Given that the data utilized for analysis in this pooled analysis does not involve human subjects or medical records, no ethical approval is required for this study. We intend to present the results of this study at national or international conferences or submit the findings to a peer-reviewed journal.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/WM2X8.

Inhibitory Neurons in Nucleus Tractus Solitarius Are Involved in Decrease of Heart Rate Variability and Development of Depression-Like Behaviors in Temporal Lobe Epilepsy

BACKGROUND

Diminished heart rate variability (HRV) has been observed in epilepsy, especially in epilepsy with depressive disorders. However, the underlying mechanism remains elusive.

METHODS

We studied HRV, spontaneous recurrent seizures, and depression-like behaviors in different phases of pilocarpine-induced temporal lobe epilepsy (TLE) in mice. Single-cell RNA sequencing analysis was used to identify various nerve cell subsets in TLE mice with and without depression. Differentially expressed gene (DEG) analysis was performed in epilepsy, depression, and HRV central control-related brain areas.

RESULTS

We found decreased HRV parameters in TLE mice, and alterations were positively correlated with the severity of depression-like behaviors. The severity of depression-like behaviors was correlated with the frequency of spontaneous recurrent seizure. Characteristic expression of mitochondria-related genes was significantly elevated in mice with depression in glial cells, and the enrichment analysis of those DEGs showed an enriched GABAergic synapse pathway in the HRV central control-related brain area. Furthermore, inhibitory neurons in the nucleus tractus solitarius, which is an HRV central control-related brain area, were specifically expressed in TLE mice combined with depression compared with those in mice without depression. A significantly enriched long-term depression pathway in DEGs from inhibitory neurons was found.

CONCLUSIONS

Our study reported correlations between HRV and epilepsy-depression comorbidity in different phases of TLE. More importantly, we found that HRV central control-related inhibitory neurons are involved in the development of depression in TLE, providing new insights into epilepsy comorbid with depression.

Resilience predicts and modulates anxiety severity in people with epilepsy

BACKGROUND

Anxiety is one of the most relevant psychiatric comorbidities in people with epilepsy (PwE). The role of resilience (RES) in the development of anxiety is not well understood. We purposed to better characterize RES impact on anxiety severity in PwE.

MATERIALS AND METHODS

One hundred and seventy-six PwE underwent online surveys including a collection of socio-demographic, seizure-related, and psychological variables. PwE were grouped according to the data collected; anxiety levels were compared through non-parametric statistics. Hierarchical regression analysis (HRA) and logistic regression were performed to characterize RES contribute in predicting the presence and the severity of anxiety. Mediation/moderation analysis was performed to evaluate causal effects among RES, depression, and anxiety.

RESULTS

Anxiety did not differ according to socio-demographic and seizure-related variables, exemption for the presence of drug-related adverse effects. Depression, RES, and sleep quality provided the major contribute on anxiety variance. The addiction of RES level in HRA and logistic regression provided a significant increase of R-squared value (p-value = 0.02) and of area under the curve (p-value = 0.03), respectively. RES modulated depression/anxiety relationship (p-value < 0.001), whereas depression did not mediate RES/anxiety correlation (p-value = 0.68).

CONCLUSIONS

We demonstrated that RES is a significant independent predictor of anxiety in PwE and is able to modulate depression impact on anxiety. Moreover, we confirmed the relevance of depression and sleep quality on anxiety severity.

Antidepressant and Anxiolytic Effects of L-Methionine in the WAG/Rij Rat Model of Depression Comorbid with Absence Epilepsy

Depression is a severe and widespread psychiatric disease that often accompanies epilepsy. Antidepressant treatment of depression comorbid with epilepsy is a major concern due to the risk of seizure aggravation. SAMe, a universal methyl donor for DNA methylation and the synthesis of brain monoamines, is known to have high antidepressant activity. This study aimed to find out whether L-methionine (L-MET), a precursor of SAMe, can have antidepressant and/or anxiolytic effects in the WAG/Rij rat model of depression comorbid with absence epilepsy. The results indicate that L-MET reduces the level of anxiety and depression in WAG/Rij rats and suppresses associated epileptic seizures, in contrast to conventional antidepressant imipramine, which aggravates absence seizures. The antidepressant effect of L-MET was comparable with that of the conventional antidepressants imipramine and fluoxetine. However, the antidepressant profile of L-MET was more similar to imipramine than to fluoxetine. Taken together, our findings suggest that L-MET could serve as a promising new antidepressant drug with anxiolytic properties for the treatment of depression comorbid with absence epilepsy. Increases in the level of monoamines and their metabolites-DA, DOPAC, HVA, NA, and MHPG-in several brain structures, is suggested to be a neurochemical mechanism of the beneficial phenotypic effect of L-MET.

How have the recent updated epilepsy classifications impacted on diagnosis and treatment?

INTRODUCTION

Epilepsies are a diverse group of disorders which differ regarding prognosis for seizure control and associated comorbidities. Accurate classification is critical to choose the highest yield investigations and best therapeutic options and to provide the most accurate prognoses regarding the expected degree of seizure control, possible remission, and risk of associated comorbidities to patients and their families. This article reviews the recent updates in epilepsy classification to illustrate how accurate classification impacts care for persons with epilepsy.

AREAS COVERED

The authors discuss the ILAE 2017 Classification of the Epilepsies along with the modification of the classification for neonatal seizures and epilepsies. They also discuss the ILAE position papers on Epilepsy syndromes in neonates and infants and children of variable age and the Idiopathic Generalized Epilepsies.

EXPERT OPINION

Accurate epilepsy classification allows selection of the highest yield investigations, choice of optimal therapies, and accurate prognostication of seizures (likelihood of response to antiseizure treatments and likelihood of remission with age), as well as comorbidities (likelihood, type, and severity). As we move into the era of disease modifying therapy, early accurate identification of underlying causes with timely introduction of specific treatments will be crucial to lessen the severity of epilepsy, with improved seizure control and attenuation of associated comorbidities.

Effect of adropin on seizure activity in rats with penicillin-induced epilepsy

BACKGROUND

Epilepsy is a nervous system disease that affects millions of individuals worldwide, and up to 25% of patients have seizures that are resistant to antiepileptic drugs. Therefore, there is a need for the discovery of tolerable, effective antiepileptic agents. This study was aimed to electrophysiologically investigate the effects of the peptide hormone adropin, which was discovered in recent years and whose expression was determined in many organs, on penicillin-induced epileptiform activity in rats.

METHODS

Forty 16-18 weeks old 280-300 g female Wistar albino rats were divided into 5 groups, 8 in each group. 250 min of ECoG recordings were taken from the first group only under anesthesia. Penicillin was given to the second group, L-arginine to the third group, adropin to the fourth group, and these three substances to the fifth group, and records were taken for 250 min and statistically evaluated.

RESULTS

Measurements were made as spike frequency, amplitude values, spike percent change, amplitude percent change. It was determined that the substances given on penicillin-induced acute epilepsy reduced both the number and severity of epileptic seizures. The lowest values were obtained from the L-arginine group, second from the mixture group, and third from the adropin group.

CONCLUSIONS

Although the hormone adropin was not as effective as L-arginine on seizure activity, it can be said that it has a positive effect in terms of antiepileptic activity.

Using machine learning approach to predict depression and anxiety among patients with epilepsy in China: A cross-sectional study

BACKGROUND

Anxiety and depression are the most prevalent comorbidities among epilepsy patients. The screen and diagnosis of anxiety and depression are quite important for the management of patients with epilepsy. In that case, the method for accurately predicting anxiety and depression needs to be further explored.

METHODS

A total of 480 patients with epilepsy (PWE) were enrolled in our study. Anxiety and Depressive symptoms were evaluated. Six machine learning models were used to predict anxiety and depression in patients with epilepsy. Receiver operating curve (ROC), decision curve analysis (DCA) and moDel Agnostic Language for Exploration and eXplanation (DALEX) package were used to evaluate the accuracy of machine learning models.

RESULTS

For anxiety, the area under the ROC curve was not significantly different between models. DCA revealed that random forest and multilayer perceptron has the largest net benefit within different probability threshold. DALEX revealed that random forest and multilayer perceptron were models with best performance and stigma had the highest feature importance. For depression, the results were much the same.

CONCLUSIONS

Methods created in this study may offer much help identifying PWE with high risk of anxiety and depression. The decision support system may be valuable for the everyday management of PWE. Further study is needed to test the outcome of applying this system to clinical settings.

Invasive Computational Psychiatry

Computational psychiatry, a relatively new yet prolific field that aims to understand psychiatric disorders with formal theories about the brain, has seen tremendous growth in the past decade. Despite initial excitement, actual progress made by computational psychiatry seems stagnant. Meanwhile, understanding of the human brain has benefited tremendously from recent progress in intracranial neuroscience. Specifically, invasive techniques such as stereotactic electroencephalography, electrocorticography, and deep brain stimulation have provided a unique opportunity to precisely measure and causally modulate neurophysiological activity in the living human brain. In this review, we summarize progress and drawbacks in both computational psychiatry and invasive electrophysiology and propose that their combination presents a highly promising new direction-invasive computational psychiatry. The value of this approach is at least twofold. First, it advances our mechanistic understanding of the neural computations of mental states by providing a spatiotemporally precise depiction of neural activity that is traditionally unattainable using noninvasive techniques with human subjects. Second, it offers a direct and immediate way to modulate brain states through stimulation of algorithmically defined neural regions and circuits (i.e., algorithmic targeting), thus providing both causal and therapeutic insights. We then present depression as a use case where the combination of computational and invasive approaches has already shown initial success. We conclude by outlining future directions as a road map for this exciting new field as well as presenting cautions about issues such as ethical concerns and generalizability of findings.

The who, what, when and why of cognitive difficulties in epilepsy

Cognitive complaints are very common in people diagnosed with epilepsy. These difficulties are often another manifestation of the same pathology responsible for seizures. They can be further exacerbated by treatments aimed at seizure control. Other common comorbidities of epilepsy such as low mood and elevated anxiety can also contribute to cognitive complaints. There is surprisingly little overlap between memory complaints and performance on formal memory tests in this population. This article examines the multifactorial and heterogeneous nature of cognitive difficulties in epilepsy and makes the case for the provision of basic psychoeducation as the foundation for all interventions aimed at ameliorating these difficulties in this patient population.

Inflammatory properties of diet mediate the effect of epilepsy on moderate to severe depression: Results from NHANES 2013-2018

BACKGROUND

Depression is a major public health problem, and epilepsy and a high-inflammatory diet are important causes of depression. We aimed to explore the level of dietary inflammation in epileptic patients and its relationship with moderate to severe depression (MSD).

METHODS

This cross-sectional study included 12,788 participants aged 20-80 years from the NHANES database from 2013 to 2018. Depressive symptoms were evaluated using the nine-item Patient Health Questionnaire (PHQ-9), and epilepsy was diagnosed based on the use of antiepileptic drugs within the previous 30 days. Dietary inflammatory index (DII) scores and energy-adjusted DII (E-DII) scores were calculated based on dietary recalls of the past 24 h, and average DII (ADII) and energy-adjusted ADII (E-ADII) were calculated based on two 24-hour dietary recalls.

RESULTS

The DII, E-DII, and ADII scores and prevalence of MSD were significantly increased in epileptic patients compared with non-epilepsy subjects. The E-ADII score (P = 0.078) was weakly associated with comorbid MSD in patients with epilepsy. Mediation models showed that dietary inflammation scores mediated 2.31 % to 12.25 % of epilepsy-related MSD. In stratified analysis, an increased prevalence of MSD was present in the Quartile 2 subgroup based on DII and E-ADII scores and in the Quartile 3 subgroup of epileptic patients based on DII, E-DII, and ADII scores.

CONCLUSIONS

Epileptics consume more proinflammatory foods and nutrients than control subjects. MSD in patients with epilepsy is associated with their high inflammatory diet. Suggesting an urgent need for rational dietary management in the epileptic population.

Seizures as a Struggle between Life and Death: An Existential Approach to the Psychosocial Impact of Seizures in Candidates for Epilepsy Surgery

INTRODUCTION

Mental health comorbidities such as depression and anxiety are common in epilepsy, especially among people with pharmacoresistant epilepsy who are candidates for epilepsy surgery. The Psychology Task Force of the International League Against Epilepsy advised that psychological interventions should be integrated into comprehensive epilepsy care.

METHODS

To better understand the psychological impact of epilepsy and epileptic seizures in epilepsy surgery candidates, we analysed interviews with this subgroup of patients using Karl Jaspers' concept of limit situations, which are characterised by a confrontation with the limits and challenges of life. These are especially chance, randomness, and unpredictability, death and finitude of life, struggle and self-assertion, guilt, failure, and falling short of one's aspirations.

RESULTS

In 43 interviews conducted with 15 people with drug-resistant epilepsy who were candidates for epilepsy surgery, we found that these themes are recurrent and have a large psychosocial impact, which can result in depression and anxiety. For some people, epileptic seizures appear to meet the criteria for traumatic events.

CONCLUSION

Understanding epilepsy and seizures as existential challenges complements the neurobiological explanations for psychological comorbidities and can help tailor psychological interventions to the specific needs of people with epilepsy, especially those who are candidates for surgical treatment.

Is depression in patients with temporal lobe epilepsy related to hippocampal sclerosis? A meta-analysis

OBJECTIVE

To systematically evaluate the association between hippocampal sclerosis (HS) and depression in patients with temporal lobe epilepsy (TLE) through a meta-analysis.

METHODS

Chinese and English databases, such as the China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals (VIP), WanFang, the Chinese Biomedical Literature Service System (SinoMed), PubMed and the Web of Science, were searched.

RESULTS

Two evaluators independently screened the literature, extracted data and evaluated the risk of bias in the included studies in accordance with the inclusion and exclusion criteria. RevMan 5.1 was used to analyze the data. A total of 786 patients with epilepsy were included in the study, including 82 depressive patients with HS and 64 depressive patients without HS. The results showed that the TLE patients with HS were more likely to develop depression than those without HS (odds ratio (OR)= 2.14, 95% confidence interval (CI) [1.45, 3.16], Z = 3.85, p = 0.0001).

CONCLUSION

HS can be considered a high-risk factor for depression in patients with TLE, and the correlation is significant. However, the sample size included in the study was small; additional high-quality studies are needed in the future.

Psycho-socio-clinical profiles and quality of life in seizure disorders: A cross-sectional registry study

OBJECTIVE

This prospective study aimed at comparing quality of life (QoL) and psycho-socio-clinical profiles between patients with epilepsy, psychogenic nonepileptic seizures (PNES), and syncope. We also intended to identify predictors of QoL in these three seizure disorders.

METHODS

A total of 245 inpatients (epilepsy n = 182, PNES n = 50, syncope n = 13) from a tertiary epilepsy clinic were included. Information on QoL as well as on psychological, sociodemographic, and clinical profiles was retrieved using questionnaires and medical records. Group comparisons on QoL and psycho-socio-clinical profiles were performed via analyses of variance, chi-square tests, and related post hoc tests. Predictors of QoL in epilepsy and PNES were determined using general linear modeling, which was not possible for syncope due to a small sample size.

RESULTS

Patients with epilepsy, PNES, and syncope reported levels of QoL impairment that did not differ significantly between groups (p = 0.266). However, there were significant group differences regarding sex distribution (p < 0.001), seizure disorder duration (p = 0.004), seizure frequency (p = 0.019), current treatment with antiseizure medications (ASM) (p < 0.001), number of current ASM (p < 0.001), and adverse ASM events (p = 0.019). More depressive symptoms (p = 0.001), more adverse ASM events (p = 0.036), and unemployment (p = 0.046) (in this order) independently predicted a diminished QoL in epilepsy. For PNES, more depressive symptoms were the only independent predictor of lower QoL (p = 0.029).

CONCLUSIONS

Patients with epilepsy, PNES, and syncope experience similarly diminished QoL and show a general psycho-socio-clinical burden with a specific pattern for each seizure disorder diagnosis. Although clinical aspects play an undisputed role for QoL in epilepsy, the psychosocial aspects and consequences are equally, or for PNES probably even more, meaningful. A comprehensive approach to research and treatment of seizure disorders seems mandatory to increase QoL for these patients. More research on QoL in syncope is needed.

Behavioral phenotyping of young Scn1a haploinsufficient mice

Dravet syndrome is a rare, severe, infancy-onset epileptic encephalopathy associated with a high premature mortality. In most patients, Dravet syndrome is caused by a heterozygous loss-of-function mutation in the SCN1A gene encoding the alpha 1 subunit of the sodium channel. Of the variety of SCN1A variants identified in patients with Dravet syndrome, SCN1A missense mutations occur in one-third of cases. The novel Scn1a-A1783V mouse model of Dravet syndrome carries the human Ala1783Val missense variant. Recently, the behavioral phenotype of Scn1a-A1783V haploinsufficient adult mice has been characterized, which may provide a valuable basis for assessment of novel therapeutic approaches. However, there is still limited information on the developmental course of behavioral alterations in the Scn1a-A1783V mouse model, which is of particular relevance for conclusions about face validity and severity classification of the model. Based on reference data from young wildtype mice, we analyzed selected behavioral parameters and fecal corticosterone metabolites in the Scn1a-A1783V mouse model during post-weaning development. Differences in the preference for a sweet saccharin solution between Dravet mice and wildtype mice were observed once mice reached sexual maturity. Nest building behavior was already influenced by the Scn1a genotype during prepubescence. Sexually mature Dravet mice showed a significantly reduced burrowing performance as compared to their wildtype littermates. In the open-field test, pronounced hyperactivity and increased thigmotactic behavior were evident in prepubescent and sexually mature Dravet mice. Analysis of Irwin scores revealed several genotype-dependent changes in handling-associated parameters during the course of adolescence. The information obtained provides insight into the age-dependence of behavioral patterns in the novel Scn1a-A1783V mouse model of Dravet syndrome. In addition, the dataset confirms the suitability of the applied behavioral composite measure scheme for evidence-based assessment of cumulative severity in genetic mouse lines.

Comorbid epilepsy and depression—pharmacokinetic and pharmacodynamic drug interactions

Background: Major depressive disorder may be encountered in 17% of patients with epilepsy and in patients with drug-resistant epilepsy its prevalence may reach 30%. This indicates that patients with epilepsy may require antidepressant treatment.

Purpose: Both pharmacodynamic and pharmacokinetic interactions between antiepileptic (antiseizure) and antidepressant drugs have been reviewed. Also, data on the adverse effects of co-administration of antiepileptic with antidepressant drugs have been added. This article was submitted to Neuropharmacology, a section of the journal Frontiers in Pharmacology.

Methods: The review of relevant literature was confined to English-language publications in PUBMED databases. Table data show effects of antidepressants on the seizure susceptibility in experimental animals, results of pharmacodynamic interactions between antiepileptic and antidepressant drugs mainly derived from electroconvulsions in mice, as well as results concerning pharmacokinetic interactions between these drugs in clinical conditions.

Conclusion: Antidepressant drugs may exert differentiated effects upon the convulsive threshold which may differ in their acute and chronic administration. Animal data indicate that chronic administration of antidepressants could reduce (mianserin, trazodone) or potentiate the anticonvulsant activity of some antiepileptics (fluoxetine, reboxetine, venlafaxine). There are also examples of neutral interactions (milnacipran).

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.

Potential Pleiotropic Genes and Shared Biological Pathways in Epilepsy and Depression Based on GWAS Summary Statistics

Current epidemiological and experimental studies have indicated the overlapping genetic foundation of epilepsy and depression. However, the detailed pleiotropic genetic etiology and neurobiological pathways have not been well understood, and there are many variants with underestimated effect on the comorbidity of the two diseases. Utilizing genome-wide association study (GWAS) summary statistics of epilepsy (15,212 cases and 29,677 controls) and depression (170,756 cases and 329,443 controls) from large consortia, we assessed the integrated gene-based association with both diseases by Multimarker Analysis of Genomic Annotation (MAGMA) and Fisher's meta-analysis. On the one hand, shared genes with significantly altered transcripts in Gene Expression Omnibus (GEO) data sets were considered as possible pleiotropic genes. On the other hand, the pathway enrichment analysis was conducted based on the gene lists with nominal significance in the gene-based association test of each disease. We identified a total of two pleiotropic genes (CD3G and SLCO3A1) with gene expression analysis validated and interpreted twenty-five common biological process supported with literature mining. This study indicates the potentially shared genes associated with both epilepsy and depression based on gene expression, meta-data analysis, and pathway enrichment strategy along with traditional GWAS and provides insights into the possible intersecting pathways that were not previously reported.

Effect of pharmaceutical care program on depression among women with epilepsy: A randomized controlled trial (IPHIWWE study)

Depression is the most frequent comorbidity of epilepsy, and they are both complex chronic diseases that affect health-related quality of life (HRQOL), especially in women. Pharmaceutical care may contribute significantly to the improvement of HRQOL in women with epilepsy (WWE), with the involvement of the pharmacist in the healthcare team treatments could be optimized and negative outcomes related to medication reduced. This was a randomized controlled trial involving WWE over 18 years of age. The intervention group (IG) received a Pharmaceutical care program consisting of medication review follow-up according to Dáder's method, health education, aids for adherence to treatment, registration of seizures and possible triggers, and therapeutic drug monitoring of anticonvulsants. The control group (CG) received the usual care in the institution. The impact in depression was assessed by changes in the Center for Epidemiologic Studies Depression (CES-D) scale, which was applied both at the first and the last interviews, six months later. One hundred eighty-two WWE entered the study and 144 (79.1%) completed it. At the beginning of the study, 48.95% showed signs of depression, decreasing to 30.43% for the patients in the IG (p-value = 0.0238), while for the patients in the CG it remained at 47.30% (p-value = 0.8693). The Wilcoxon test for comparing the change (Δ) (before-after) in the CES-D scores, between groups, yielded a w = 3138.5, p-value = 0.01802 proving there were statistically significant differences. The study proved that the application of a Pharmaceutical Care program significantly decreases signs of depression in WWE. These results allow us to recommend the implementation of the Pharmaceutical care programs to improve the depression in WWE. Trial registration: Current Controlled Trials ISRCTN46864306 IPHIWWE study.

The Neuropsychiatric Approach to the Assessment of Patients in Neurology

Neuropsychiatry is a clinical neuroscience specialty focused on the evaluation and treatment of patients who present with symptoms at the intersection of neurology and psychiatry. Neuropsychiatrists assess and manage the cognitive, affective, behavioral, and perceptual manifestations of disorders of the central nervous system. Although fellowship training in behavioral neurology-neuropsychiatry exists in the United States and several other countries internationally, the need for neuropsychiatric expertise greatly outweighs the number of specialists in practice or training. This article serves as a primer for both neurologists and psychiatrists seeking to improve or refresh their knowledge of the neuropsychiatric assessment, including detailing aspects of the history-taking, physical exam, psychometric testing, and associated diagnostic work-up. In doing so, we urge the next generation of neurologists and psychiatrists to take on both the opportunity and challenge to work at the intersection of both clinical neuroscience specialties using an integrated neuropsychiatric perspective.

Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies

Epilepsy is one of the most common chronic neurological conditions, traditionally defined as a disorder of recurrent seizures. Cognitive and affective dysfunction are increasingly recognized as core disease dimensions and can affect patient well-being, sometimes more than the seizures themselves. Connectome-based approaches hold immense promise for revealing mechanisms that contribute to dysfunction and to identify biomarkers. Our review discusses emerging multimodal neuroimaging and connectomics studies that highlight network substrates of cognitive/affective dysfunction in the common epilepsies. We first discuss work in drug-resistant epilepsy syndromes, that is, temporal lobe epilepsy, related to mesiotemporal sclerosis (TLE), and extratemporal epilepsy (ETE), related to malformations of cortical development. While these are traditionally conceptualized as ‘focal’ epilepsies, many patients present with broad structural and functional anomalies. Moreover, the extent of distributed changes contributes to difficulties in multiple cognitive domains as well as affective-behavioral challenges. We also review work in idiopathic generalized epilepsy (IGE), a subset of generalized epilepsy syndromes that involve subcortico-cortical circuits. Overall, neuroimaging and network neuroscience studies point to both shared and syndrome-specific connectome signatures of dysfunction across TLE, ETE, and IGE. Lastly, we point to current gaps in the literature and formulate recommendations for future research.

Epilepsy is increasingly recognized as a network disorder characterized by recurrent seizures as well as broad-ranging cognitive difficulties and affective dysfunction. Our manuscript reviews recent literature highlighting brain network substrates of cognitive and affective dysfunction in common epilepsy syndromes, namely temporal lobe epilepsy secondary to mesiotemporal sclerosis, extratemporal epilepsy secondary to malformations of cortical development, and idiopathic generalized epilepsy syndromes arising from subcortico-cortical pathophysiology. We discuss prior work that has indicated both shared and distinct brain network signatures of cognitive and affective dysfunction across the epilepsy spectrum, improves our knowledge of structure-function links and interindividual heterogeneity, and ultimately aids screening and monitoring of therapeutic strategies.

Intrinsic Brain Activity in Temporal Lobe Epilepsy With and Without Depression: Insights From EEG Microstates

Background: Depression is the most common psychiatric comorbidity of temporal lobe epilepsy (TLE). In the recent years, studies have focused on the common pathogenesis of TLE and depression. However, few of the studies focused on the dynamic characteristics of TLE with depression. We tested the hypotheses that there exist abnormalities in microstates in patients with TLE with depression.

Methods: Participants were classified into patients with TLE with depression (PDS) (n = 19) and patients with TLE without depression (nPDS) (n = 19) based upon the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V). Microstate analysis was applied based on 256-channel electroencephalography (EEG) to detect the dynamic changes in whole brain. The coverage (proportion of time spent in each state), frequency of occurrence, and duration (average time of each state) were calculated.

Results: Patients with PDS showed a shorter mean microstate duration with higher mean occurrence per second compared to patients with nPDS. There was no difference between the two groups in the coverage of microstate A–D.

Conclusion: This is the first study to present the temporal fluctuations of EEG topography in comorbid depression in TLE using EEG microstate analysis. The temporal characteristics of the four canonical EEG microstates were significantly altered in patients with TLE suffer from comorbid depression.

Peri-Ictal Changes in Depression and Anxiety in Persons With Epileptic and Non-epileptic Seizures

OBJECTIVE

We tested the hypothesis that epileptic, but not non-epileptic, seizures would produce an improvement in comorbid depression and anxiety symptoms in the peri-ictal period, much like the antidepressant effects of electroconvulsive therapy.

METHODS

We examined depression and anxiety symptoms in patients admitted to an inpatient unit for continuous video electroencephalography as part of routine clinical care. Patients completed three questionnaires that included the Beck Depression Inventory-II (BDI), Montgomery Asberg Depression Rating Scale (MADRS), and Beck Anxiety Inventory (BAI) after admission, in the 24 h following a seizure, then again 2 weeks after the last seizure.

RESULTS

In patients with epilepsy, depression and anxiety scores improved in the 24 hrs following a seizure (change in BDI = 24%; change in MADRS = 19%; change in BAI = 21%) but returned toward baseline after 2 weeks. In patients with non-epileptic seizures, depression and anxiety scores also improved in the 24 hrs following a psychogenic non-epileptic seizure (change in BDI = 17%, change in MADRS = 27%, change in BAI = 36%). There was a greater improvement in depression and anxiety scores in patients with focal-onset epilepsy (BDI = 30%, MADRS = 22%, BAI = 30%) compared to generalized seizure onset (BDI = 6%, MADRS = 12%, BAI = 8%).

CONCLUSION

We conclude that single seizures can result in transient improvements in mood. Because seizures need not be generalized or epileptic to exert this effect, the underlying mechanisms are uncertain.

Temporal Lobe Epilepsy and Psychiatric Comorbidity

Most focal seizures originate in the temporal lobe and are commonly divided into mesial and lateral temporal epilepsy, depending upon the neuronal circuitry involved. The hallmark features of the mesial temporal epilepsy are aura, unconsciousness, and automatisms. Symptoms often overlap with the lateral temporal epilepsy. However, the latter present a less evident psychomotor arrest, frequent clones and dystonic postures, and common focal to bilateral tonic–clonic seizures. Sclerosis of the hippocampus is the most frequent cause of temporal lobe epilepsy (TLE). TLE is among all epilepsies the most frequently associated with psychiatric comorbidity. Anxiety, depression, and interictal dysphoria are recurrent psychiatric disorders in pediatric patients with TLE. In addition, these alterations are often combined with cognitive, learning, and behavioral impairment. These comorbidities occur more frequently in TLE with hippocampal sclerosis and with pharmacoresistance. According to the bidirectional hypothesis, the close relationship between TLE and psychiatric features should lead to considering common pathophysiology underlying these disorders. Psychiatric comorbidities considerably reduce the quality of life of these children and their families. Thus, early detection and appropriate management and therapeutic strategies could improve the prognosis of these patients. The aim of this review is to analyze TLE correlation with psychiatric disorders and its underlying conditions.

Repeated hippocampal seizures lead to brain-wide reorganization of circuits and seizure propagation pathways

Repeated seizure activity can lead to long-term changes in seizure dynamics and behavior. However, resulting changes in brain-wide dynamics remain poorly understood. This is due partly to technical challenges in precise seizure control and in vivo whole-brain mapping of circuit dynamics. Here, we developed an optogenetic kindling model through repeated stimulation of ventral hippocampal CaMKII neurons in adult rats. We then combined fMRI with electrophysiology to track brain-wide circuit dynamics resulting from non-afterdischarge (AD)-generating stimulations and individual convulsive seizures. Kindling induced widespread increases in non-AD-generating stimulation response and ipsilateral functional connectivity and elevated anxiety. Individual seizures in kindled animals showed more significant increases in brain-wide activity and bilateral functional connectivity. Onset time quantification provided evidence for kindled seizure propagation from the ipsilateral to the contralateral hemisphere. Furthermore, a core of slow-migrating hippocampal activity was identified in both non-kindled and kindled seizures, revealing a novel mechanism of seizure sustainment and propagation.

Performance of primary health care workers in detection of mental disorders comorbid with epilepsy in rural Ethiopia

BACKGROUND

Timely detection and management of comorbid mental disorders in people with epilepsy is essential to improve outcomes. The objective of this study was to measure the performance of primary health care (PHC) workers in identifying comorbid mental disorders in people with epilepsy against a standardised reference diagnosis and a screening instrument in rural Ethiopia.

METHODS

People with active convulsive epilepsy were identified from the community, with confirmatory diagnosis by trained PHC workers. Documented diagnosis of comorbid mental disorders by PHC workers was extracted from clinical records. The standardized reference measure for diagnosing mental disorders was the Operational Criteria for Research (OPCRIT plus) administered by psychiatric nurses. The mental disorder screening scale (Self-Reporting Questionnaire; SRQ-20), was administered by lay data collectors. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PHC worker diagnosis against the reference standard diagnosis was calculated. Logistic regression was used to examine the factors associated with misdiagnosis of comorbid mental disorder by PHC workers.

RESULTS

A total of 237 people with epilepsy were evaluated. The prevalence of mental disorders with standardised reference diagnosis was 13.9% (95% confidence interval (CI) 9.6, 18.2%) and by PHC workers was 6.3% (95%CI 3.2, 9.4%). The prevalence of common mental disorder using SRQ-20 at optimum cut-off point (9 or above) was 41.5% (95% CI 35.2, 47.8%). The sensitivity and specificity of PHC workers diagnosis was 21.1 and 96.1%, respectively, compared to the standardised reference diagnosis. In those diagnosed with comorbid mental disorders by PHC workers, only 6 (40%) had SRQ-20 score of 9 or above. When a combination of both diagnostic methods (SRQ-20 score ≥ 9 and PHC diagnosis of depression) was compared with the standardised reference diagnosis of depression, sensitivity increased to 78.9% (95% (CI) 73.4, 84.4%) with specificity of 59.7% (95% CI 53.2, 66.2%). Only older age was significantly associated with misdiagnosis of comorbid mental disorders by PHC (adjusted odds ratio, 95% CI = 1.06, 1.02 to 1.11).

CONCLUSION

Routine detection of co-morbid mental disorder in people with epilepsy was very low. Combining clinical judgement with use of a screening scale holds promise but needs further evaluation.

Quantitative psychopathology of interictal psychosis in epilepsy; interaction between epilepsy-related and psychosis-general effects

OBJECTIVE

There is a historical debate whether psychopathology of epilepsy psychosis is unique to epilepsy or common to other psychoses. However, a large comprehensive studies on this issue are scarce. To clarify the characteristics of interictal psychosis (IIP), we evaluated psychopathology quantitatively.

METHODS

This study included 150 patients with IIP (epilepsy+/psychosis+), 187 patients with schizophrenia (SC: epilepsy-/psychosis+), 182 patients with epilepsy (EP: epilepsy+/psychosis-), and 172 non-clinical individuals (NC: epilepsy-/psychosis-). The IIP group comprised 127 chronic and 23 brief psychoses. Age, sex, and years of education, onset and duration of psychosis, and onset and duration of epilepsy were matched among the groups. The psychopathology was evaluated using the 16-item Brief Psychiatric Rating Scale (BPRS), which comprises three symptom factors namely negative symptoms (NS), positive symptoms (PS), and anxiety-depressive symptoms (ADS).

RESULTS

For overall 16-BPRS and NS factor scores, there were significant interactions between epilepsy-related (epilepsy+/-) and psychosis-general (psychosis+/-) effects. The EP exhibited higher scores than did the NC, whereas the IIP exhibited lower scores than did the SC. For PS and ADS factor scores, the IIP and SC exhibited a significant psychosis-general effect. Chronic IIP was associated with more serious psychopathologies than was brief IIP. However, limited with chronic IIP, there was a significant interaction between epilepsy-related and psychosis-general effects on the overall 16-BPRS and NS factor scores.

CONCLUSION

These findings demonstrate the first large quantitative evidence on the unique psychopathology of IIP which has been only narratively described. The psychopathology is associated with the interaction between epilepsy-related and psychosis-general effects.

Effect of lacosamide on neuroinflammation-mediated seizures comorbid with depression in C57BL/6 mice- Role of kynurenine pathway

Comorbid conditions in persons with epilepsy (PWE) are very common with depression being highly prevalent. Lacosamide (LCM) is used to treat patients with seizures, but the underlying pathways associating the seizures and comorbid depression are still unknown. Kynurenine pathway (KP) has a major role in seizures, inflammation as well as depression, considering which we evaluated the effect of LCM on kynurenine levels in murine model of neuroinflammation-mediated seizures. We then evaluated the effects on the depressive symptoms associated with seizures. Lipopolysaccharide (LPS) primed pilocarpine (PILO) is an established model for neuro-inflammation-mediated seizures. The anti-seizure and anti-depressive effects of 21 days of LCM administration were studied in this model. After 24 h of seizure termination, behavioral parameters viz. forced swimming test and sucrose preference test were performed to study its antidepressant effect. Biochemical estimations of levels of kynurenine, inflammatory cytokines, and oxidative markers were also evaluated. Lacosamide significantly reduced hippocampal kynurenine levels in LPS and LPS + PILO groups but did not show significant reduction in the PILO alone group. Levels of inflammatory cytokines and oxidative stress markers were also reduced significantly. Lacosamide has shown positive effects against neuroinflammation-mediated model of seizures comorbid with depression by reducing hippocampal kynurenine levels. No reduction in the PILO group is suggestive of the principal contribution of its anti-inflammatory and antioxidant activity in its anti-seizure potential in this model via KP.

Effect of a self-care educational intervention to improve self-care adherence among patients with chronic heart failure: a clustered randomized controlled trial in Northwest Ethiopia

BACKGROUND

As the burden of cardiovascular disease increases in sub-Saharan Africa, there is a growing need for low-cost interventions to mitigate its impact. Providing self-care health education to patients with chronic heart failure (CHF) is recommended as an intervention to prevent complications, improve quality of life, and reduce financial burdens on fragile health systems. However, little is known about health education's effectiveness at improving CHF self-management adherence in sub-Saharan Africa. Therefore the present study aimed to assess the effectiveness of an educational intervention to improve self-care adherence among patients with CHF at Debre Markos and Felege Hiwot Referral Hospitals in Northwest Ethiopia.

METHODS

To address this gap, we adapted a health education intervention based on social cognitive theory comprising of intensive four-day training and, one-day follow-up sessions offered every four months. Patients also received illustrated educational leaflets. We then conducted a clustered randomized control trial of the intervention with 186 randomly-selected patients at Debre Markos and Felege Hiwot referral hospitals. We collected self-reported data on self-care behavior before each educational session. We analyzed these data using a generalized estimating equations model to identify health education's effect on a validated 8-item self-care adherence scale.

RESULTS

Self-care adherence scores were balanced at baseline. After the intervention, patients in the intervention group (n = 88) had higher adherence scores than those in the control group (n = 98). This difference was statistically significant (β = 4.15, p < 0.05) and increased with each round of education. Other factors significantly associated with adherence scores were being single (β = - 0.25, p < 0.05), taking aspirin (β = 0.76, p < 0.05), and having a history of hospitalization (β = 0.91, p < 0.05).

CONCLUSIONS

We find that self-care education significantly improved self-care adherence scores among CHF patients. This suggests that policymakers should consider incorporating self-care education into CHF management.

TRIAL REGISTRATION NUMBER

PACTR201908812642231.

Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies

Intracranial electroencephalographic (iEEG) recordings from patients with epilepsy provide distinct opportunities and novel data for the study of co-occurring psychiatric disorders. Comorbid psychiatric disorders are very common in drug-resistant epilepsy and their added complexity warrants careful consideration. In this review, we first discuss psychiatric comorbidities and symptoms in patients with epilepsy. We describe how epilepsy can potentially impact patient presentation and how these factors can be addressed in the experimental designs of studies focused on the electrophysiologic correlates of mood. Second, we review emerging technologies to integrate long-term iEEG recording with dense behavioral tracking in naturalistic environments. Third, we explore questions on how best to address the intersection between epilepsy and psychiatric comorbidities. Advances in ambulatory iEEG and long-term behavioral monitoring technologies will be instrumental in studying the intersection of seizures, epilepsy, psychiatric comorbidities, and their underlying circuitry.

Stress-Associated Molecular and Cellular Hippocampal Mechanisms Common for Epilepsy and Comorbid Depressive Disorders

The review discusses molecular and cellular mechanisms common to the temporal lobe epileptogenesis/epilepsy and depressive disorders. Comorbid temporal lobe epilepsy and depression are associated with dysfunction of the hypothalamic-pituitary-adrenocortical axis. Excessive glucocorticoids disrupt the function and impair the structure of the hippocampus, a brain region key to learning, memory, and emotions. Selective vulnerability of the hippocampus to stress, mediated by the reception of glucocorticoid hormones secreted during stress, is the price of the high functional plasticity and pleiotropy of this limbic structure. Common molecular and cellular mechanisms include the dysfunction of glucocorticoid receptors, neurotransmitters, and neurotrophic factors, development of neuroinflammation, leading to neurodegeneration and loss of hippocampal neurons, as well as disturbances in neurogenesis in the subgranular neurogenic niche and formation of aberrant neural networks. These glucocorticoid-dependent processes underlie altered stress response and the development of chronic stress-induced comorbid pathologies, in particular, temporal lobe epilepsy and depressive disorders.

Network of depression and anxiety symptoms in patients with epilepsy

PURPOSE

Depression and anxiety are often comorbid in people with epilepsy. Network models consider this comorbidity as an interacting system of depressive and anxiety symptoms. The present study investigates the network structure of depressive and anxiety symptoms in people with epilepsy and aims to identify the central and bridge symptoms to provide suggestions for the prevention of and intervention for depression-anxiety comorbidity in patients with epilepsy.

METHODS

A total of 313 patients with epilepsy were enrolled in our study. Anxiety symptoms were evaluated with the Generalized Anxiety Disorder 7-Item questionnaire. Depressive symptoms were evaluated with the Patient Health Questionnaire-9. Network analyses were used for the statistical analysis.

RESULTS

The findings indicated that ten edges with the strongest regularized partial correlations existed in the network. Six were among depressive symptoms, such as "sleep difficulties" with "fatigue" and " feeling of worthlessness" with "thoughts of death". Four were among anxiety symptoms, such as "nervousness or anxiety" with "uncontrollable worry" and "uncontrollable worry" with "worry too much". Those strongest edges had no connection linking anxiety and depressive symptoms. The symptoms "depressed or sad mood", "trouble relaxing" and "uncontrollable worry" had the highest strength centrality in the network. The results revealed three bridge symptoms: "psychomotor agitation/retardation", "irritable", and "depressed or sad mood".

CONCLUSION

"Feeling of worthlessness" was identified as a key priority due to associations with suicidal ideation. The current study highlighted the critical central symptoms "depressed or sad mood", "trouble relaxing" and "uncontrollable worry" and the critical bridge symptoms "psychomotor agitation/retardation", "irritable", and "depressed or sad mood". Implications for clinical prevention and intervention based on these symptoms are discussed.

Rapamycin attenuates depression and anxiety-like behaviors through modulation of the NLRP3 pathway in pentylenetetrazole-kindled male Wistar rats

BACKGROUND

There is cumulative evidence that shows the effect of epilepsy on behavioral conditions like anxiety and depression.

OBJECTIVES

The effects of rapamycin on anxiety and depression caused by pentylenetetrazole (PTZ) in the rat and possible underlying mechanisms were evaluated.

METHODS

Male Wistar rats were divided into experimental and control groups. The experimental groups were treated with intraperitoneal (i.p.) injection of 0.5, 1, and 2 mg/kg of rapamycin, while the control group received normal saline only. Kindling was induced by sub-threshold dose (35 mg/kg, i.p.) of PTZ for one month. When the kindling procedure was done, the seizure behaviors and the behavioral function were evaluated. For anxiety parameters, the elevated plus maze (EPM) was used. The forced swim test was employed to assess the antidepressant potential. At the end of the experiment, rats were euthanized and the blood serum and brain samples were isolated for respective measurement of oxidative stress and gene expression parameters.

RESULTS

Rapamycin delayed the development of kindling and the onset time of seizures. Rapamycin administration reduced immobility time in the FST, exerting antidepressant-like activity. In the EPM test, rapamycin produced an anxiolytic-like effect. In addition, rapamycin increased the catalase and superoxide dismutase levels in the serum and significantly decreased the gene expression of I11b and Nlrp3 compared to the PTZ group.

CONCLUSION

Our results showed that the inhibitory effect of mTOR inhibitor (rapamycin) on reactive oxygen species production during NLRP3 inflammasome activation could bring about behavioral alterations in anxiety and depression.

Interictal dysphoric disorder in people with and without epilepsy

OBJECTIVE

Interictal dysphoric disorder (IDD) has been regarded as an affective disorder occurring only in people with epilepsy (PWE). Data showing similar characteristics and similar prevalence of IDD in patients with migraine and with psychogenic nonepileptic seizures question the epilepsy-specific nature of IDD. The aim of the study was to investigate the nature of IDD in people with prevalent epilepsy with mood disorders and people with mood disorders who are free of neurological disease.

METHODS

This is a case-control study, with 142 patients with a confirmed diagnosis of epilepsy and major depressive disorder (MDD; cases) and 222 patients with MDD only (controls). MDD diagnosis was confirmed by a structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition (SCID-I-RV). We used the Beck Depression Inventory and the Beck Anxiety Inventory to estimate anxiety and depression levels and the Interictal Dysphoric Disorder Inventory (IDDI) to confirm the presence of IDD. Mann-Whitney U test, Pearson chi-squared, Spearman correlation, and logistic regression were used.

RESULTS

No differences were found in the prevalence of IDD between PWE with MDD and people with MDD alone (88.73% vs. 85.13%, χ2 = .96, p = .32). There were no differences between the groups overall or for any IDDI subscales (all p > .05). In both groups, IDD symptoms were grouped with the same incidence and had the same duration and periodicity. IDD was not associated with epilepsy (odds ratio = .84, 95% confidence interval = .40-1.98, p = .72). No significant correlation was found between epilepsy, demographic characteristics, and all IDDI subscales (all p > .05). Notably, patients with IDD suffered from affective disorders longer (6.68 ± 6.82 years vs. 3.7 ± 3.97 years, p = .001) and also received higher scores on all psychometric scales (all p < .05).

SIGNIFICANCE

This study does not confirm the specificity of IDD for epilepsy. The presence of IDD symptoms may be associated with a more severe course of MDD and significant anxiety distress.

Recent Advances in Neuroimaging of Epilepsy

Human neuroimaging has had a major impact on the biological understanding of epilepsy and the relationship between pathophysiology, seizure management, and outcomes. This review highlights notable recent advancements in hardware, sequences, methods, analyses, and applications of human neuroimaging techniques utilized to assess epilepsy. These structural, functional, and metabolic assessments include magnetic resonance imaging (MRI), positron emission tomography (PET), and magnetoencephalography (MEG). Advancements that highlight non-invasive neuroimaging techniques used to study the whole brain are emphasized due to the advantages these provide in clinical and research applications. Thus, topics range across presurgical evaluations, understanding of epilepsy as a network disorder, and the interactions between epilepsy and comorbidities. New techniques and approaches are discussed which are expected to emerge into the mainstream within the next decade and impact our understanding of epilepsies. Further, an increasing breadth of investigations includes the interplay between epilepsy, mental health comorbidities, and aberrant brain networks. In the final section of this review, we focus on neuroimaging studies that assess bidirectional relationships between mental health comorbidities and epilepsy as a model for better understanding of the commonalities between both conditions.

Creatine attenuates seizure severity, anxiety and depressive-like behaviors in pentylenetetrazole kindled mice

Epilepsy has been associated with several behavioral changes such as depression and anxiety while some antiepileptic drugs can precipitate psychiatric conditions in patients. This study evaluated the ameliorative effect of creatine on seizure severity and behavioral changes in pentylenetetrazole (PTZ) kindled mice. Mice were kindled by administering sub-convulsive doses of PTZ (35 mg/kg i.p.) at interval of 48 h. The naïve group (n = 7) constituted group 1, while successfully kindled mice were randomly assigned to five groups (n = 7). Group II served as vehicle treated group; groups III-V were treated with creatine 75, 150, and 300 mg/kg/day, p.o; Group V was given 25 mg/kg/day of phenytoin p.o. The treatment was for 15 consecutive days. The intensity of convulsion was scored according to a seven-point scale ranging from stage 0-7. Tail suspension test (TST) and Elevated plus maze (EPM) were utilized to assess depression and anxiety-like behavior respectively. After behavioral evaluation on day 15th, their brain was isolated and assayed for catalase, superoxide dismutase, reduced glutathione, and malondialdehyde. There was a significant (p < 0.05) reduction in the seizure scores, anxiety and depression-like behaviors in mice from the 5th day of treatment. The antioxidant assays revealed significant (p < 0.05) increase in catalase and reduced glutathione, and significant (p < 0.05) reduction in lipid peroxidation in treated mice. This study provides evidence for the seizure reducing property of creatine and its ameliorating potential on anxiety and depressive-like behaviors that follows seizure episodes.

Epilepsy Associated Depression: An Update on Current Scenario, Suggested Mechanisms, and Opportunities

Depression is one of the most frequent psychiatric comorbidities associated with epilepsy having a major impact on the patient's quality of life. Several screening tools are available to identify and follow up psychiatric disorders in epilepsy. Out of various psychiatric disorders, people with epilepsy (PWE) are at greater risk of developing depression. This bidirectional relationship further hinders pharmacotherapy of comorbid depression in PWE as some antiepileptic drugs (AEDs) worsen associated depression and coadministration of existing antidepressants (ADs) to alleviate comorbid depression has been reported to worsen seizures. Selective serotonin reuptake inhibitors (SSRIs) and selective serotonin and norepinephrine reuptake inhibitors (SNRIs) are first choice of ADs and are considered safe in PWE, but there are no high-quality evidences. Similar to observations in people with depression, PWE also showed pharmacoresistant to available SSRI/SNRIs, which further complicates the disease prognosis. Randomized double-blind placebo-controlled clinical trials are necessary to report efficacy and safety of available ADs in PWE. We should also move beyond ADs, and therefore, we reviewed common pathological mechanisms such as neuroinflammation, dysregulated hypothalamus pituitary adrenal (HPA) axis, altered neurogenesis, and altered tryptophan metabolism responsible for coexistent relationship of epilepsy and depression. Based on these common pertinent pathways involved in the genesis of epilepsy and depression, we suggested novel targets and therapeutic approaches for safe management of comorbid depression in epilepsy.

Epilepsy, dissociative seizures, and mixed: Associations with time to video-EEG

PURPOSE

Video-electroencephalographic monitoring (VEM) is a core component to the diagnosis and evaluation of epilepsy and dissociative seizures (DS)-also known as functional or psychogenic seizures-but VEM evaluation often occurs later than recommended. To understand why delays occur, we compared how patient-reported clinical factors were associated with time from first seizure to VEM (TVEM) in patients with epilepsy, DS or mixed.

METHODS

We acquired data from 1245 consecutive patients with epilepsy, VEM-documented DS or mixed epilepsy and DS. We used multivariate log-normal regression with recursive feature elimination (RFE) to evaluate which of 76 clinical factors interacting with patients' diagnoses were associated with TVEM.

RESULTS

The mean and median TVEM were 14.6 years and 10 years, respectively (IQR 3-23 years). In the multivariate RFE model, the factors associated with longer TVEM in all patients included unemployment and not student status, more antiseizure medications (current and past), concussion, and ictal behavior suggestive of temporal lobe epilepsy. Average TVEM was shorter for DS than epilepsy, particularly for patients with depression, anxiety, migraines, and eye closure. Average TVEM was longer specifically for patients with DS taking more medications, more seizure types, non-metastatic cancer, and with other psychiatric comorbidities.

CONCLUSIONS

In all patients with seizures, trials of numerous antiseizure medications, unemployment and non-student status was associated with longer TVEM. These associations highlight a disconnect between International League Against Epilepsy practice parameters and observed referral patterns in epilepsy. In patients with dissociative seizures, some but not all factors classically associated with DS reduced TVEM.

A systematic review of neuroimaging studies of depression in adults with epilepsy

OBJECTIVE

Depression is a relatively common comorbidity in people with epilepsy with a lifetime history identified in 1 in 4 individuals. In this paper, we aimed to provide a systematic review of structural and functional brain region-specific group differences of adults with epilepsy and depression and to discuss existing evidence as compared to that in people with depression.

METHODS

We undertook a systematic review of neuroimaging studies of depression in adults with epilepsy through MEDLINE/PubMed, Embase and PsycInfo searches until June 2020.

RESULTS

A total of 44 studies were included in the qualitative synthesis: 21 on structural neuroimaging, 9 on functional, and 14 on pharmaco/metabolic neuroimaging. Almost all studies focused on temporal lobe epilepsy (TLE). Patterns of changes in the hippocampi and subcortical structures seem to be different from those reported in depression outside epilepsy. Cortical changes are grossly similar as well as the lack of any laterality effect. Serotonin dysfunction seems to be due to different mechanisms with reduced synaptic availability for depression in epilepsy as compared to reduced 5HT1 receptor density outside epilepsy. Depressive symptoms seem to correlate with a dysfunction in temporolimbic structures contralateral to the epileptogenic zone especially in patients with de novo postsurgical depression.

CONCLUSIONS

Depression, at least in TLE, seems to be associated with a different pattern of brain changes as compared to major depression, potentially supporting the notion of phenomenological peculiarities of depression in epilepsy.