How common are the "common" neurologic disorders?

Paired corticospinal-motoneuronal stimulation enhances ballistic motor learning and corticospinal plasticity in older adults

Late adulthood is accompanied by declines in manual motor performance and reduced neuroplasticity, which can influence the effects of motor practice and learning. Corticomotoneuronal (CM) connectivity can be targeted non-invasively through individualized paired corticospinal-motoneuronal stimulation (PCMS) to prime ballistic motor learning in young adults. However, the priming effects of PCMS on motor output and ballistic motor learning in older adults remain unexplored. Part one of this study investigates ballistic motor performance and learning in young (20-30 years) and older (65-75 years) adults as within-session changes in peak acceleration of rapid index finger flexions and delayed retention 1 week later. The results demonstrate that older adults display lower maximal acceleration compared to young adults and smaller improvements with practice, indicating inferior learning and low levels of delayed retention. Part two of the study investigates the effects of PCMS on motor learning and corticospinal excitability in older adults. Corticospinal excitability was assessed throughout the experiment by recording motor evoked potentials from the first dorsal interosseous. PCMS increased subsequent ballistic learning and corticospinal excitability after practice compared to SHAM. Importantly, combined PCMS and motor practice also enhanced long-term retention, and performance remained enhanced 7 days later. This means that PCMS effectively reinstated the otherwise absent long-term learning in older adults. We demonstrate that PCMS primes experience-dependent plasticity accompanying motor learning resulting in long-term benefits on motor performance in older adults. These findings highlight the potential of PCMS to enhance the effects of motor practice and benefit functional abilities in older adults. KEY POINTS: Late adulthood is associated with reduced activation of spinal motoneurons during vigorous movements, resulting in slower and less precise movements. Older adults (aged 65-75 years) display lower ballistic motor performance compared to younger adults (aged 20-30 years); furthermore, older adults exhibit smaller improvements during practice, and lower retention. A single session of paired corticospinal-motoneuronal stimulation (PCMS) increases corticospinal excitability and primes within-session ballistic motor learning in older adults. A single session of PCMS improves long-term retention following ballistic motor learning. We provide proof-of-principle that PCMS represents a potential strategy to enhance the effects of motor practice and counteract age-related decline in motor function.

An Insight into Cellular and Molecular Mechanisms Underlying the Pathogenesis of Neurodegeneration in Alzheimer's Disease

Alzheimer's disease (AD) is the most prominent neurodegenerative disorder in the aging population. It is characterized by cognitive decline, gradual neurodegeneration, and the development of amyloid-β (Aβ)-plaques and neurofibrillary tangles, which constitute hyperphosphorylated tau. The early stages of neurodegeneration in AD include the loss of neurons, followed by synaptic impairment. Since the discovery of AD, substantial factual research has surfaced that outlines the disease's causes, molecular mechanisms, and prospective therapeutics, but a successful cure for the disease has not yet been discovered. This may be attributed to the complicated pathogenesis of AD, the absence of a well-defined molecular mechanism, and the constrained diagnostic resources and treatment options. To address the aforementioned challenges, extensive disease modeling is essential to fully comprehend the underlying mechanisms of AD, making it easier to design and develop effective treatment strategies. Emerging evidence over the past few decades supports the critical role of Aβ and tau in AD pathogenesis and the participation of glial cells in different molecular and cellular pathways. This review extensively discusses the current understanding concerning Aβ- and tau-associated molecular mechanisms and glial dysfunction in AD. Moreover, the critical risk factors associated with AD including genetics, aging, environmental variables, lifestyle habits, medical conditions, viral/bacterial infections, and psychiatric factors have been summarized. The present study will entice researchers to more thoroughly comprehend and explore the current status of the molecular mechanism of AD, which may assist in AD drug development in the forthcoming era.

Effects of Bolus Holding on Respiratory-Swallow Coordination in Parkinson's Disease

PURPOSE

The aim of this study was to examine the effects of bolus holding on respiratory-swallow coordination (RSC) in people with Parkinson's disease (PD).

METHOD

People with PD were prospectively recruited to undergo RSC assessment using simultaneous respiratory inductive plethysmography and flexible laryngoscopy. During RSC assessment, participants swallowed 5-ml thin liquid boluses during held and nonheld swallowing tasks. Measures of RSC were analyzed for each swallow, which included respiratory pause duration, lung volume at swallow initiation, respiratory phase patterning, and the presence of paradoxical respiratory movements. Multilevel statistical modeling was used to determine if differences in RSC were present between the held and nonheld tasks.

RESULTS

Thirty-three participants were enrolled. When compared to the nonheld swallows, the held swallows exhibited shorter respiratory pauses (p = .001, R ² = .019), lower lung volumes at swallow initiation (p < .001, R ² = .116), more frequent exhale-swallow-exhale patterns (p < .001, OR = 4.30), and less frequent paradoxical respiratory movements (p = .001, OR = 0.43).

CONCLUSIONS

Findings from this study revealed that bolus holding significantly influences RSC in people with PD. This demonstrates that bolus holding may be an efficacious strategy to immediately improve RSC in PD. However, clinicians and researchers should consider avoiding bolus holding during swallowing evaluations if attempting to assess RSC behaviors that are most typical for the examinee.

Lower GDNF Serum Level Is a Possible Risk Factor for Constipation in Patients With Parkinson Disease: A Case–Control Study

Background: Constipation is a significant symptom of Parkinson's disease (PD). Glial-derived neurotrophic factor (GDNF) is important for the morphogenesis of the enteric nervous system and plays a critical role in the preservation of mucosal integrity under enteric glia surveillance. The aim of this work was to evaluate the serum levels of GDNF in patients with PD with and without constipation.

Methods: This work included 128 patients with PD. The patients were classified into three groups: those with PD but no constipation (nCons-PD) (n = 49), those with prodromal stage constipation (Cons-Pro-PD) (n = 48), and those with clinical stage constipation (Cons-Clinic-PD) (n = 31). The association between serum GDNF concentration and constipation was explored using logical regression.

Results: The nCons-PD group's mean GDNF levels were 528.44 pg/ml, which was higher than the Cons-Pro-PD group's 360.72 pg/ml and the Cons-Clinic-PD group's 331.36 pg/ml. The results of binary logistic regression indicated that GDNF was a protective factor in the prevention of constipation. Cons-Clinic-PD group had a higher score of MDS-UPDRS-II, MDS-UPDRS-III, MDS-UPDRS-IV, and a higher H-Y staging as compared with nCons-PD group. Relative to the nCons-PD group, Cons-Clinic-PD had higher NMSS scores, lower MoCA and PDSS scores, and were more likely to have RBD.

Conclusions: GDNF serum levels are lower in patients with PD who are constipated. A low GDNF level is a potential risk factor for constipation in patients with PD.

Disease awareness and dietary habits of patients with epilepsy in western China: a cross-sectional study

Background

The optimal management of epilepsy includes engaging patients through education on knowledge of the disease, its treatment and diet control.

Methods

This was a cross-sectional survey-based cohort study, aimed to investigate the awareness of epilepsy in Chinese patients and to understand their dietary habits. Participants were consecutively enrolled from epileptic patients treated in a single epilepsy center from October 1, 2019 to February 29, 2020. A self-reported questionnaire (Cronbach’s α = 0.758) consisting of 3 parts was sent to 407 patients with epilepsy. The questionnaire included items on demographic information, epilepsy features, awareness of epilepsy treatment and dietary habits.

Results

About half of the patients (53.8%, 219/407) thought epilepsy was curable and only 80% knew that the first choice of treatment is medication. While 58.6% of the patients with low educational level preferred the use of antiepileptic drugs (p = 0.014), 52.7% believed that the medication should not be stopped immediately after seizure control (p = 0.026), especially after surgery (40.5%, p = 0.011). Patients with lower household monthly incomes had less awareness of the use of antiepileptic drugs than patients with higher incomes: only 39.2 and 49.8% of patients with lower incomes thought that the drugs could be stopped after epilepsy surgery or seizure control, respectively, compared to 51.6 and 66.1% with higher incomes. Alcohol (86.2%), caffeine (56.8%) and strong tea (49.1%) were top three foods considered by the patients to be avoided to prevent seizures. Approximately 30.2% of patients identified at least one food that made them susceptible to seizures.

Conclusions

Patient education on epilepsy, antiepileptic drugs and diet for management of seizures should be provided especially to patients with less education, lower income or inaccurate beliefs of epilepsy in Western China.

Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy

Alzheimer's disease (AD) and epilepsy are neurological disorders that affect a large cohort of people worldwide. Although both of the two diseases could be influenced by genetic factors, the shared genetic mechanism underlying the pathogenesis of them is still unclear. In this study, we aimed to identify the shared genetic networks and corresponding hub genes for AD and epilepsy. Firstly, the gene coexpression modules (GCMs) were constructed by weighted gene coexpression network analysis (WGCNA), and 16 GCMs were identified. Through further integration of GCMs, genome-wide association studies (GWASs), and expression quantitative trait loci (eQTLs), 4 shared GCMs of AD and epilepsy were identified. Functional enrichment analysis was performed to analyze the shared biological processes of these GCMs and explore the functional overlaps between these two diseases. The results showed that the genes in shared GCMs were significantly enriched in nervous system-related pathways, such as Alzheimer's disease and neuroactive ligand-receptor interaction pathways. Furthermore, the hub genes of AD- and epilepsy-associated GCMs were captured by weighted key driver analysis (wKDA), including TRPC1, C2ORF40, NR3C1, KIAA0368, MMT00043109, STEAP1, MSX1, KL, and CLIC6. The shared GCMs and hub genes might provide novel therapeutic targets for AD and epilepsy.

Label propagation-based semi-supervised feature selection on decoding clinical phenotypes with RNA-seq data

BACKGROUND

Clinically, behavior, cognitive, and mental functions are affected during the neurodegenerative disease progression. To date, the molecular pathogenesis of these complex disease is still unclear. With the rapid development of sequencing technologies, it is possible to delicately decode the molecular mechanisms corresponding to different clinical phenotypes at the genome-wide transcriptomic level using computational methods. Our previous studies have shown that it is difficult to distinguish disease genes from non-disease genes. Therefore, to precisely explore the molecular pathogenesis under complex clinical phenotypes, it is better to identify biomarkers corresponding to different disease stages or clinical phenotypes. So, in this study, we designed a label propagation-based semi-supervised feature selection approach (LPFS) to prioritize disease-associated genes corresponding to different disease stages or clinical phenotypes.

METHODS

In this study, we pioneering put label propagation clustering and feature selection into one framework and proposed label propagation-based semi-supervised feature selection approach. LPFS prioritizes disease genes related to different disease stages or phenotypes through the alternative iteration of label propagation clustering based on sample network and feature selection with gene expression profiles. Then the GO and KEGG pathway enrichment analysis were carried as well as the gene functional analysis to explore molecular mechanisms of specific disease phenotypes, thus to decode the changes in individual behavioral and mental characteristics during neurodegenerative disease progression.

RESULTS

Large amounts of experiments were conducted to verify the performance of LPFS with Huntington's gene expression data. Experimental results shown that LPFS performs better in comparison with the-state-of-art methods. GO and KEGG enrichment analysis of key gene sets shown that TGF-beta signaling pathway, cytokine-cytokine receptor interaction, immune response, and inflammatory response were gradually affected during the Huntington's disease progression. In addition, we found that the expression of SLC4A11, ZFP474, AMBP, TOP2A, PBK, CCDC33, APSL, DLGAP5, and Al662270 changed seriously by the development of the disease.

CONCLUSIONS

In this study, we designed a label propagation-based semi-supervised feature selection model to precisely selected key genes of different disease phenotypes. We conducted experiments using the model with Huntington's disease mice gene expression data to decode the mechanisms of it. We found many cell types, including astrocyte, microglia, and GABAergic neuron, could be involved in the pathological process.

Neuregulins in Neurodegenerative Diseases

Neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD) and amyotrophic lateral sclerosis (ALS), are typically characterized by progressive neuronal loss and neurological dysfunctions in the nervous system, affecting both memory and motor functions. Neuregulins (NRGs) belong to the epidermal growth factor (EGF)-like family of extracellular ligands and they play an important role in the development, maintenance, and repair of both the central nervous system (CNS) and peripheral nervous system (PNS) through the ErbB signaling pathway. They also regulate multiple intercellular signal transduction and participate in a wide range of biological processes, such as differentiation, migration, and myelination. In this review article, we summarized research on the changes and roles of NRGs in neurodegenerative diseases, especially in AD. We elaborated on the structural features of each NRG subtype and roles of NRG/ErbB signaling networks in neurodegenerative diseases. We also discussed the therapeutic potential of NRGs in the symptom remission of neurodegenerative diseases, which may offer hope for advancing related treatment.

Role of RNA Oxidation in Neurodegenerative Diseases

In the history of nucleic acid research, DNA has always been the main research focus. After the sketch of the human genome was completed in 2000, RNA has been started to gain more attention due to its abundancies in the cell and its essential role in cellular physiology and pathologies. Recent studies have shown that RNAs are susceptible to oxidative damage and oxidized RNA is able to break the RNA strand, and affect the protein synthesis, which can lead to cell degradation and cell death. Studies have shown that RNA oxidation is one of the early events in the formation and development of neurodegenerative disorders, including Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. However, its molecular mechanism, as well as its impact on these diseases, are still unclear. In this article, we review the different types of RNA oxidative damage and the neurodegenerative diseases that are reported to be associated with RNA oxidative damage. In addition, we discuss recent findings on the association between RNA oxidative damage and the development of neurodegenerative diseases, which will have great significance for the development of novel strategies for the prevention and treatment of these diseases.

Health literacy and education level correlates of participation and outcome in a remotely delivered epilepsy self-management program

SIGNIFICANCE

Health literacy, the ability to understand necessary health information to make proper health decisions, has been linked to greater frequency of hospitalizations. However, there is limited literature on the associations between health literacy and outcomes in patients with epilepsy, and thus, this secondary analysis investigates the associations between health literacy and outcomes in patients with epilepsy enrolled in the self-management intervention "Self-management for people with epilepsy and a history of negative events" (SMART). We examined the associations between higher health literacy and higher education level and outcomes of the SMART trial.

METHODS

This is a secondary analysis of data from the SMART self-management intervention, where individuals were randomized to the SMART intervention or a 6-month waitlist (WL) control. Health literacy was assessed at baseline before randomization using the Rapid Estimate of Adult Literacy in Medicine (REALM-R). Education level was self-reported by participants at baseline. Pearson correlations between REALM-R scores and continuous demographic and clinical variables were conducted. Point-biserial Pearson correlations were computed for REALM-R and dichotomous variables. The effect of education on change in negative health events (NHEs) counts from baseline to six months was conducted using a linear regression. A logistic regression with health literacy and randomization arm as predictors and improvement in NHE (1 = improvement, 0 = no change or increased NHEs at 6 months) as the outcome was conducted.

RESULTS

Lower education and lower income were significantly correlated with lower health literacy (p < 0.001 and p = 0.03). Higher education level was associated with a greater improvement in 6-month seizure counts (r_s(105) = 0.29, p = 0.002), and a greater improvement in total 6-month NHEs (r_s(95) = 0.20, p = 0.045). Health literacy was not associated with change in NHEs or with study retention.

CONCLUSIONS

The SMART intervention appears effective for individuals regardless of health literacy competency. Nevertheless, individuals with higher levels of education have fewer epilepsy complications, and thus, those with limited education may still require additional support while participating in epilepsy self-management programs.

The Mast Cell Is an Early Activator of Lipopolysaccharide-Induced Neuroinflammation and Blood-Brain Barrier Dysfunction in the Hippocampus

Neuroinflammation contributes to or even causes central nervous system (CNS) diseases, and its regulation is thus crucial for brain disorders. Mast cells (MCs) and microglia, two resident immune cells in the brain, together with astrocytes, play critical roles in the progression of neuroinflammation-related diseases. MCs have been demonstrated as one of the fastest responders, and they release prestored and newly synthesized mediators including histamine, β-tryptase, and heparin. However, temporal changes in MC activation in this inflammation process remain unclear. This study demonstrated that MC activation began at 2 h and peaked at 4 h after lipopolysaccharide (LPS) administration. The number of activated MCs remained elevated until 24 h after LPS administration. In addition, the levels of histamine and β-tryptase in the hippocampus markedly and rapidly increased within 6 h and remained higher than the baseline level within 24 h after LPS challenge. Furthermore, mast cell-deficient Kit^W-sh/W-sh mice were used to investigate the effects of MCs on microglial and astrocytic activation and blood-brain barrier (BBB) permeability at 4 h after LPS stimulation. Notably, LPS-induced proinflammatory cytokine secretion, microglial activation, and BBB damage were inhibited in Kit^W-sh/W-sh mice. However, no detectable astrocytic changes were found in WT and Kit^W-sh/W-sh mice at 4 h after LPS stimulation. Our findings indicate that MC activation precedes CNS inflammation and suggest that MCs are among the earliest participants in the neuroinflammation-initiating events.

The main neurologic diagnoses from a neurology outpatient clinic in Rio de Janeiro, Brazil

This study aims to evaluate the prevalence, distribution and clinical profile of neurological diseases and syndromes from a neurology outpatient clinic in the city of Rio de Janeiro. This is a quantitative, cross-sectional study. 180 medical records of firsttime visits conducted through 18 months were analyzed. Age, gender and comorbidities were collected to identify the sample's profile and the neurological diagnoses found were classified in predefined groups of syndromes according to the ICD-10 classification, which were further stratified according to age and gender. 157 (87,2%) of the patients had a neurological disease, of which the mean age was 51,05 years and 67,5% were women. The most frequent comorbidities were: hypertension (55,6%); dyslipidemia (20,4%); and diabetes (14,6%). The most common neurological diseases were: Sequelae of Cerebrovascular Disease (12,7%); Unspecified Dementia (8,9%); and Migraine without Aura (7,6%). The main neurological syndromes were: Headache (24,8%); Dementia (15,9%); Cerebrovascular Disease (13,4%); Movement Disorders (12,1%); and Radiculopathy (10,8%). The age and gender profile of these syndromes was further described. These data contribute to better understand the distribution of neurological diseases in the neurological outpatient setting.

Association between ambient air pollution and Parkinson's disease: Systematic review and meta-analysis

Air pollution has been evaluated as a possible risk factor for Parkinson's disease (PD), but, the present results are inconsistent and have not been combined. We performed a systematic review and meta-analysis to estimate the association between long-term exposure to ambient air pollution and PD, given the nature of disease etiology. A total of 10 studies were identified by searching Web of Science, Science Direct, and PubMed before October 2017. We found a significantly increased risk of PD with 10 parts per billion (ppb) increase in nitrogen oxides (NO_x) exposure (relative risk (RR) = 1.06; 95% confidence interval (CI): 1.04, 1.09). The pooled RR for the association between carbon monoxide (CO) exposure, 1 parts per million (ppm) increment, and the risk of PD was 1.65 (95% CI: 1.10, 2.48). The pooled RRs for the association between nitrogen dioxide (NO₂) and ozone (O₃) exposure per 1 ppb increment, and the risk of PD were 1.01 (95% CI: 1.00, 1.03) and 1.01 (95% CI: 1.00, 1.02), respectively. There was a significant heterogeneity in the meta-analysis for fine particulate matter (PM_2.5), NO₂, sulfur dioxide (SO₂), and CO. We concluded that NO₂, NO_x, CO and O₃ exposure were associated with an increased risk of PD, although there is high risk of bias. The dose-response effects evaluated by high-quality studies are needed. Researches should be expanded to low- and/or middle- income countries where indoor and outdoor air pollution are high. CAPSULE: Long-term exposure to ambient NO₂, NO_x, CO and O₃ can increase the risk of Parkinson's disease.

Current and Emerging Potential of Magnetoencephalography in the Detection and Localization of High-Frequency Oscillations in Epilepsy

Up to one-third of patients with epilepsy are medically intractable and need resective surgery. To be successful, epilepsy surgery requires a comprehensive preoperative evaluation to define the epileptogenic zone (EZ), the brain area that should be resected to achieve seizure freedom. Due to lack of tools and methods that measure the EZ directly, this area is defined indirectly based on concordant data from a multitude of presurgical non-invasive tests and intracranial recordings. However, the results of these tests are often insufficiently concordant or inconclusive. Thus, the presurgical evaluation of surgical candidates is frequently challenging or unsuccessful. To improve the efficacy of the surgical treatment, there is an overriding need for reliable biomarkers that can delineate the EZ. High-frequency oscillations (HFOs) have emerged over the last decade as new potential biomarkers for the delineation of the EZ. Multiple studies have shown that HFOs are spatially associated with the EZ. Despite the encouraging findings, there are still significant challenges for the translation of HFOs as epileptogenic biomarkers to the clinical practice. One of the major barriers is the difficulty to detect and localize them with non-invasive techniques, such as magnetoencephalography (MEG) or scalp electroencephalography (EEG). Although most literature has studied HFOs using invasive recordings, recent studies have reported the detection and localization of HFOs using MEG or scalp EEG. MEG seems to be particularly advantageous compared to scalp EEG due to its inherent advantages of being less affected by skull conductivity and less susceptible to contamination from muscular activity. The detection and localization of HFOs with MEG would largely expand the clinical utility of these new promising biomarkers to an earlier stage in the diagnostic process and to a wider range of patients with epilepsy. Here, we conduct a thorough critical review of the recent MEG literature that investigates HFOs in patients with epilepsy, summarizing the different methodological approaches and the main findings. Our goal is to highlight the emerging potential of MEG in the non-invasive detection and localization of HFOs for the presurgical evaluation of patients with medically refractory epilepsy (MRE).

Summary of comprehensive systematic review: Rehabilitation in multiple sclerosis: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology

OBJECTIVE

To systematically review the evidence regarding rehabilitation treatments in multiple sclerosis (MS).

METHODS

We systematically searched the literature (1970-2013) and classified articles using 2004 American Academy of Neurology criteria.

RESULTS

This systematic review highlights the paucity of well-designed studies, which are needed to evaluate the available MS rehabilitative therapies. Weekly home/outpatient physical therapy (8 weeks) probably is effective for improving balance, disability, and gait (MS type unspecified, participants able to walk ≥5 meters) but probably is ineffective for improving upper extremity dexterity (1 Class I). Inpatient exercises (3 weeks) followed by home exercises (15 weeks) possibly are effective for improving disability (relapsing-remitting MS [RRMS], primary progressive MS [PPMS], secondary progressive MS [SPMS], Expanded Disability Status Scale [EDSS] 3.0-6.5) (1 Class II). Six weeks' worth of comprehensive multidisciplinary outpatient rehabilitation possibly is effective for improving disability/function (PPMS, SPMS, EDSS 4.0-8.0) (1 Class II). Motor and sensory balance training or motor balance training (3 weeks) possibly is effective for improving static and dynamic balance, and motor balance training (3 weeks) possibly is effective for improving static balance (RRMS, SPMS, PPMS) (1 Class II). Breathing-enhanced upper extremity exercises (6 weeks) possibly are effective for improving timed gait and forced expiratory volume in 1 second (RRMS, SPMS, PPMS, mean EDSS 4.5); this change is of unclear clinical significance. This technique possibly is ineffective for improving disability (1 Class II). Inspiratory muscle training (10 weeks) possibly improves maximal inspiratory pressure (RRMS, SPMS, PPMS, EDSS 2-6.5) (1 Class II).

Factors associated with hopelessness in epileptic patients

AIM: To investigate factors related to hopelessness in a sample of epileptic patients, including measures of depression and quality of life (QOL).

METHODS: Sixty-nine participants were administered the following psychometric instruments: Beck Depression Inventory-II, Beck Hopelessness Scale (BHS), and QOL in Epilepsy (QOLIE)-89. Patients were dichotomized into two categories: those affected by epilepsy with generalized tonic-clonic seizures vs those having epilepsy with partial seizures.

RESULTS: The groups differed on the QOLIE Role Limitation/Emotional dimension. Patients with generalized seizures reported more limitations in common social/role activities related to emotional problems than patients with other types of epilepsy (89.57 ± 25.49 vs 72.86 ± 36.38; t₆₃ = -2.16; P < 0.05). All of the respondents reported moderate to severe depression, and 21.7% of patients with generalized seizures and 28.6% of patients with other diagnoses had BHS total scores ≥ 9 indicating a higher suicidal risk. The study did not control for years of the illness.

CONCLUSION: Patients with generalized seizures reported more limitations in common social/role activities related to emotional problems compared to patients with other types of seizures. Patients at increased suicide risk as evaluated by the BHS were older than those who had a lower suicidal risk. Future studies are required to further investigate the impact of hopelessness on the outcome of epileptic patients.