Changes in overlap of subjective and objective cognition over time in epilepsy surgery candidates.

PURPOSE: Subjective and objective cognition often show weak overlap in persons with epilepsy (PWE). Over- as well as underestimation may occur. In particular after epilepsy surgery, objective memory decline is often not subjectively reported. Additionally, studies on how concordance of subjective and objective cognition changes over time are missing. Therefore, we study the extent of concordance in operated and non-operated PWE over time. METHODS: Candidates for resective epilepsy surgery were assessed between 03/18 and 12/20 (T1) with self-report questionnaires and underwent a neuropsychological examination. For 21 operated as well as 27 non-operated PWE follow-up data was obtained one to three years later (T2). Concordance of attention and memory were compared between groups and time points. Moreover, reliable change was calculated and compared between groups. RESULTS: Of the total sample, 42 % rated their attention performance realistically and 25 % showed memory concordance. Differences in patterns of over- and underestimation between groups and over time occurred for attention, but not for memory. Overestimation of memory was more frequent in operated than non-operated PWE, especially at T2 (67% vs. 11 %). In the operated group, we mainly observed reliable improvement in subjective cognition and decline in objective memory, whereas non-operated PWE showed more frequently decline of simple attention. Reliable subjective and objective change did not co-occur. CONCLUSION: Concordance of subjective and objective cognition is low. Over- as well as underestimation may persist over time. Domain-specific perspectives are necessary. Tendencies of operated PWE to develop overestimation of memory after surgery should be considered in neuropsychological interventions.

Cortical Thickness Patterns of Cognitive Impairment Phenotypes in Drug-Resistant Temporal Lobe Epilepsy.

OBJECTIVE: In temporal lobe epilepsy (TLE), a taxonomy classifying patients into 3 cognitive phenotypes has been adopted: minimally, focally, or multidomain cognitively impaired (CI). We examined gray matter (GM) thickness patterns of cognitive phenotypes in drug-resistant TLE and assessed potential use for predicting postsurgical cognitive outcomes. METHODS: TLE patients undergoing presurgical evaluation were categorized into cognitive phenotypes. Network edge weights and distances were calculated using type III analysis of variance F-statistics from comparisons of GM regions within each TLE cognitive phenotype and age- and sex-matched healthy participants. In resected patients, logistic regression models (LRMs) based on network analysis results were used for prediction of postsurgical cognitive outcome. RESULTS: A total of 124 patients (63 females, mean age ± standard deviation [SD] = 36.0 ± 12.0 years) and 117 healthy controls (63 females, mean age ± SD = 36.1 ± 12.0 years) were analyzed. In the multidomain CI group (n = 66, 53.2%), 28 GM regions were significantly thinner compared to healthy controls. Focally impaired patients (n = 37, 29.8%) showed 13 regions, whereas minimally impaired patients (n = 21, 16.9%) had 2 significantly thinner GM regions. Regions affected in both multidomain and focally impaired patients included the anterior cingulate cortex, medial prefrontal cortex, medial temporal, and lateral temporal regions. In 69 (35 females, mean age ± SD = 33.6 ± 18.0 years) patients who underwent surgery, LRMs based on network-identified GM regions predicted postsurgical verbal memory worsening with a receiver operating curve area under the curve of 0.70 ± 0.15. INTERPRETATION: A differential pattern of GM thickness can be found across different cognitive phenotypes in TLE. Including magnetic resonance imaging with clinical measures associated with cognitive profiles has potential in predicting postsurgical cognitive outcomes in drug-resistant TLE. ANN NEUROL 2024;95:984-997.

German questionnaires assessing quality of life and psycho-social status in people with epilepsy: Reliable change and intercorrelations.

OBJECTIVES: People with epilepsy (PWE) not only suffer from seizures but also from various psycho-social issues containing facets such as social functioning, anxiety, depression or stigmatization, and consequently quality of life. (1) Assessing reliable change of these issues is crucial to evaluate their course and potential treatment effects. As most psycho-social self-report questionnaires have been validated in separate samples, their clinical-socio-demographic differences may limit the comparability and generalizability of the scales' internal consistency, which is important for the reliable change index (RCI). Using a co-normalized approach, we provide the internal consistency and RCIs for a large set of questionnaires targeting quality of life (QOLIE-31-P), depressive symptoms (NDDI-E), anxiety (GAD-7), seizure severity (LSSS), subjective antiseizure medication adverse events (LAEP), stigma, epilepsy-related fear, and restrictions in daily life (PESOS), and subjective cognition (FLei). As for some German versions of these measures, psychometric data is still missing, we also add important information for the German language area. (2) In addition, knowledge about intercorrelations of these constructs is needed to shape questionnaire usage and treatment approaches. We thus investigate associations of these scales and compare weighted and unweighted subscales of the QOLIE-31-P. METHODS: In our prospective study, 202 adult in-patients of the Epilepsy-Center Berlin-Brandenburg with a reliable diagnosis of epilepsy filled out a set of self-report questionnaires between 03/2018 and 03/2021. We calculated Cronbach's α, RCIs, and bivariate intercorrelations and compared the respective correlations of weighted and unweighted scales of the QOLIE-31-P. RESULTS: For most of the scales, good to excellent internal consistency was identified. Furthermore, we found intercorrelations in the expected directions with strong links between scales assessing similar constructs (e.g., QOLIE-31-P Cognition and FLei), but weak relationships between measures for different constructs (e.g., QOLIE-31-P Seizure worry and FLei). The QOLIE-31-P Total score was highly correlated with most of the other scales. Some differences regarding their correlational patterns for weighted and unweighted QOLIE-31-P scales were identified. CONCLUSIONS: Psycho-social constructs share a large amount of common variance, but still can be separated from each other. The QOLIE-31-P Total score represents an adequate measure of general psycho-social burden.

Domain-specific relationships of subjective and objective cognition in epilepsy.

OBJECTIVE: Many people with epilepsy report subjective cognitive impairment (SCI), i.e., problems with memory, attention, or executive functions, reducing quality of life. Nevertheless, overlap with objective cognitive impairment (OCI) is often weak. One reason may be a domain-specific mismatch between subjective reports and objective tests. We aimed to evaluate relations between SCI and OCI of corresponding domains and to assess whether these differ between persons who over- or underestimate their performance. METHODS: In this prospective, cross-sectional sample of 104 adult inpatients with epilepsy, we performed multiple regression analyses predicting SCI in the domains attention, memory, and executive functions. We tested relationships with measures of psychomotor speed, short-term memory, verbal learning, verbal delayed recall, and word fluency while controlling for age, sex, seizure frequency, structural lesions, mono- versus polytherapy and adverse events of antiseizure medication (ASM), depressive and anxiety symptoms, level of education, and employment status. Furthermore, we tested whether these relationships differed between realistic raters and over- and underestimators. RESULTS: We found domain-specific relations for attention and executive functions for the full sample, explaining a small proportion of variance of SCI (general dominance index = .03 and .004), whereas ASM adverse events and psychological variables were more important predictors. When dividing the sample according to the concordance of SCI and OCI, we found high frequencies of both over- (23%-46%) and underestimation (31%-35%) depending on the domain. The explanatory power of OCI for SCI was stronger within the subgroups compared to the full sample, suggesting nonlinear relationships and different underlying mechanisms for realistic raters, underestimators, and overestimators. SIGNIFICANCE: Domain-specific SCI and OCI are related, and both should be assessed with standardized instruments. These relationships differ between over- and underestimators as well as realistic raters. Based on the concordance of self-ratings and objective measures, tailored counseling and treatment should be offered.

Subjective cognition is linked to everyday functioning in epilepsy.

OBJECTIVE: Many people with epilepsy (PWE) suffer from reduced everyday functioning such as unemployment, relationship difficulties, or lifestyle limitations. To identify whether subjective cognitive impairment (SCI) is a potential source of these impairments, associations with restrictions of daily life (RDL) and reduced daily activities (DA) were examined. METHODS: In a prospective cross-sectional sample of 316 adult in-patients with epilepsy, multiple regression analyses were calculated predicting RDL and DA. The relationships between these two measures and SCI were controlled for age, sex, seizure frequency, presence of structural lesions, epilepsy duration, mono- vs polytherapy and adverse events of antiseizure medication (ASM), level of depressive and anxiety symptoms, education, and employment. We also checked for an interaction between depressive symptoms and SCI, to evaluate whether patients with more depressive symptoms are more vulnerable for unfavorable associations between SCI and RDL or DA, respectively. General dominance indices (GDIs) were calculated to compare predictors. RESULTS: Substantial SCI was present in 46% of our sample. SCI was independently associated with RDL and DA. Comparison of relative predictor importance revealed that SCI accounted for 23% of the total variance of RDL (GDISCI  = 0.12, R RDL 2  = 50%) and 24% of the total variance of DA (GDISCI  = 0.08, R DA 2  = 32%). SCI was among the two most important predictors in both models. PWE with more depressive symptoms had stronger associations between SCI and RDL or DA, respectively. SIGNIFICANCE: Subjective cognitive impairment represents a frequent concern in PWE and may have detrimental consequences for their everyday life. PWE with depressive symptoms may be at greater risk of unfavorable relationships between SCI and everyday functioning. Exchange and collaboration between professionals offering psychotherapeutic, neuropsychological, and psychosocial interventions are crucial to address the patients' individual needs.

How patients' psycho-social profiles contribute to decision-making in epilepsy surgery: A prospective study.

OBJECTIVE: Identifying factors associated with surgical decision-making is important to understand reasons for underutilization of epilepsy surgery. Neurologists' recommendations for surgery and patients' acceptance of these recommendations depend on clinical epilepsy variables, for example, lateralization and localization of seizure onset zones. Moreover, previous research shows associations with demographic factors, for example, age and sex. Here, we investigate the relevance of patients' psycho-social profile for surgical decision-making. METHODS: We prospectively studied 296 patients from two large German epilepsy centers. Multiple logistic regression analyses were used to investigate variables linked to neurologists' recommendations for and patients' acceptance of surgery or intracranial video-electroencephalographic monitoring. Patients' psycho-social profiles were assessed via self-reports and controlled for various clinical-demographic variables. Model selection was performed using the Akaike information criterion. RESULTS: As expected, models for neurologists' surgery recommendations primarily revealed clinical factors such as lateralization and localization of the seizure onset zone, load with antiseizure medication (ASM), and site of the epilepsy-center. For this outcome, employment was the only relevant psycho-social aspect (odds ratio [OR] = .38, 95% confidence interval [CI] = .13-1.11). In contrast, three of the five relevant predictors for patients' acceptance were psycho-social. Higher odds were found for those with more subjective ASM adverse events (OR = 1.04, 95% CI = .99-1.00), more subjective seizure severity (OR = 1.12, 95% CI = 1.01-1.24), and lower subjective cognitive impairment (OR = .98, 95% CI = .96-1.00). SIGNIFICANCE: We demonstrated the relevance of the patients' psycho-social profile for decision-making in epilepsy surgery, particularly for patients' decisions. Thus, in addition to clinical-demographic variables, patients' individual psycho-social characteristics add to the understanding of surgical decision-making. From a clinical perspective, this calls for individually tailored counseling to assist patients in finding the optimal treatment option.

Perceived epilepsy-related stigma is linked to the socioeconomic status of the residence.

Purpose: Epilepsy is one of the most common neurological disorders with high costs for the healthcare systems and great suffering for patients. Beyond seizures, psychosocial comorbidities can have detrimental effects on the well-being of people with epilepsy. One source of social stress and reduced quality of life is epilepsy-related stigma that often occurs, e.g., due to public misconceptions or myths. Stigma has individual biological, psychological and social correlates. Moreover, environmental factors like living in remote areas are associated with stigma. However, little is known about the link between the social structure of the residence and stigma in epilepsy. Thus, we investigated the association between the structural socioeconomic status (SES) and perceived stigma in an urban epilepsy population. Methods: This prospective, cross-sectional study examined 226 adult in-patients with epilepsy from Berlin. Multiple regression analyses were performed to check the relationship between structural SES and stigma controlling for individual-level demographic, clinical, psychological and social factors. Continuous social indices (SI) of the districts and neighborhoods ("SI district" and "SI neighborhood") of Berlin were used to measure different levels of structural SES. Non-linear relationships are tested by grouping the SI in quartiles. Results: Both indicators of structural SES were independently linked to stigma (p = 0.002). For "SI district", we identified a non-linear relationship with patients from the most deprived quartile feeling less stigmatized compared to those in the second (p < 0.001) or least deprived quartile (p = 0.009). Furthermore, more restrictions of daily life (p < 0.001), unfavorable income (p = 0.009) and seizure freedom in the past 6 months (p = 0.05) were related to increased stigma. A lower "SI neighborhood" was associated with higher stigma (p = 0.002). Conclusion: Strategies to reduce epilepsy-related stigma need to consider the sociostructural living environment on different regional levels. Unfavorable relations with the immediate living environment may be directly targeted in patient-centered interventions. Non-linear associations with the structural SES of broader regional levels should be considered in public education programs. Further research is needed to examine possible underlying mechanisms and gain insight into the generalizability of our findings to other populations.

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.

Associations of individual and structural socioeconomic status with cognition and mental distress in pharmacoresistant focal epilepsy.

OBJECTIVE: Epilepsy is often associated with low socioeconomic status (SES). People with epilepsy (PWE) also suffer from cognitive dysfunction and mental distress. In the general population, these constraints are related to individual and structural SES. However, in PWE, cognitive dysfunction and mental distress have been mainly attributed to biological factors such as brain lesions or pharmacological treatment, whereas comprehensive studies on possible social determinants are missing. Here, we study associations of individual and structural SES with cognition and mental distress in PWE. METHODS: We retrospectively studied 340 adult patients with pharmacoresistant focal epilepsy from Berlin treated at a tertiary epilepsy center. Individual SES (education, employment, and income), structural SES (social index of district and neighborhood), and their interactions were examined. Associations between social variables and verbal learning, psychomotor speed, and mental distress were analyzed with multiple regression analyses, controlling for demographic and medical variables and intelligence. RESULTS: Our sample had lower educational levels and lived more frequently in low SES neighborhoods compared to the general population of Berlin. Thirty percent showed reduced verbal learning, 31% had deficits in psychomotor speed, and 20% revealed significant mental distress. Lower structural SES was related to lower psychomotor speed (ΔR2 = 0.9%) and higher mental distress (ΔR2 = 1.6%). Employment was related to verbal learning (ΔR2 = 0.7%) and psychomotor speed (ΔR2 = 1.2%). Income and education were linked to mental distress (ΔR2 = 5%). Neighborhood and individual SES covered more than half of the explained variance in mental distress. Furthermore, interactions between individual and structural SES were identified. CONCLUSION: We confirm cognitive deficits, significant mental distress, and individual and structural social disadvantage in PWE. Our findings indicate that individual and structural SES are related to cognitive and emotional well-being beyond demographic and medical characteristics. As a clinical implication, individual and structural SES should be considered when interpreting neuropsychological findings.

Skew t Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance.

This simulation study assessed the statistical performance of a skew t mixture latent state-trait (LST) model for the analysis of longitudinal data. The model aims to identify interpretable latent classes with class-specific LST model parameters. A skew t-distribution within classes is allowed to account for non-normal outcomes. This flexible function covers heavy tails and may reduce the risk of identifying spurious classes, e.g., in case of outliers. Sample size, number of occasions and skewness of the trait variable were varied. Generally, parameter estimation accuracy increases with increasing numbers of observations and occasions. Larger bias compared to other parameters occurs for parameters referring to the skew t-distribution and variances of the latent trait variables. Standard error estimation accuracy shows diffuse patterns across conditions and parameters. Overall model performance is acceptable for large conditions, even though none of the models is free from bias. The application of the skew t mixture model in case of large numbers of occasions and observations may be possible, but results should be treated with caution. Moreover, the skew t approach may be useful for other mixture models.

Effects of music therapy and music-based interventions in the treatment of substance use disorders: A systematic review.

Music therapy (MT) and music-based interventions (MBIs) are increasingly used for the treatment of substance use disorders (SUD). Previous reviews on the efficacy of MT emphasized the dearth of research evidence for this topic, although various positive effects were identified. Therefore, we conducted a systematic search on published articles examining effects of music, MT and MBIs and found 34 quantitative and six qualitative studies. There was a clear increase in the number of randomized controlled trials (RCTs) during the past few years. We had planned for a meta-analysis, but due to the diversity of the quantitative studies, effect sizes were not computed. Beneficial effects of MT/ MBI on emotional and motivational outcomes, participation, locus of control, and perceived helpfulness were reported, but results were inconsistent across studies. Furthermore, many RCTs focused on effects of single sessions. No published longitudinal trials could be found. The analysis of the qualitative studies revealed four themes: emotional expression, group interaction, development of skills, and improvement of quality of life. Considering these issues for quantitative research, there is a need to examine social and health variables in future studies. In conclusion, due to the heterogeneity of the studies, the efficacy of MT/ MBI in SUD treatment still remains unclear.