Spanish normative studies (NEURONORMA-Plus project): norms for the Wisconsin Card Sorting Test, the Modified Taylor Complex Figure, and the Ruff-Light Trail Learning Test

OBJECTIVE

The present study aims to provide norms and age-, education-, and sex-adjusted data for the Wisconsin Card Sorting Test (WCST), the Modified Taylor Complex Figure (MTCF), and the Ruff-Light Trail Learning Test (RULIT) as part of the NEURONORMA-Plus project.

METHODS

We recruited 308 cognitively healthy individuals aged between 18 and 92 years. Tables are provided to convert raw scores to age-adjusted scaled scores, as well as adjustments for education and sex after applying independent regression models in 2 age groups (< 50 and ≥ 50 years).

RESULTS

Older age had a negative effect on performance in both age groups. We observed a positive effect of education on WCST performance in the younger group (< 50 years), and on all MTCF measures (with the exception of the recognition task) in the older group (≥ 50 years). Education had no impact on performance in the RULIT, although sex did, with a small but significant effect whereby young men showed higher performance for one variable.

CONCLUSION

The normative data provided can contribute to the clinical interpretation of performance in these tests in the Spanish population.

Spanish normative studies (NEURONORMA-Plus project): norms for the Delis Kaplan-Design Fluency Test, Color Trails Test, and Dual Task

INTRODUCTION

Complex attention and non-verbal fluency tasks are used in neuropsychological assessments with the aim of exploring subdomains of executive function. The purpose of this study is to provide norms and age-, education-, and sex-adjusted data for the Delis Kaplan-Design Fluency Test (DK-DFT), Color Trails Test (CTT), and Dual Task (DT) as part of the NEURONORMA-Plus project.

METHODS

The sample included 308 cognitively unimpaired individuals aged between 18 and 92 years. Raw scores were converted to age-adjusted scaled scores. These were further converted into education- and sex-adjusted scaled scores by applying linear regression, with 2 age groups (< 50 and ≥ 50 years).

RESULTS

Overall, age had a negative impact on DK-DFT and CTT performance. We observed a positive effect of education on DK-DFT scores only in the older group (≥ 50 years). Moreover, younger men performed slightly better in the basic condition of this test. Education was positively associated with all CTT scores in both age groups, with the exception of the CTT-1 subtest in the younger group. Age and education did not influence DT performance, whereas sex did, with young women performing slightly better.

CONCLUSIONS

These normative data may be useful in the interpretation of neuropsychological assessments in the Spanish population.

Stereo-electroencephalography-guided radiofrequency thermocoagulation in patients with MRI-negative focal epilepsy

OBJECTIVE

Coupled with stereo-electroencephalography (SEEG), radiofrequency thermocoagulation (RFTC) has emerged as a therapeutic alternative for patients with refractory focal epilepsy, with proven safe but highly variable results across studies. The authors aimed to describe the outcomes and safety of SEEG-RFTC, focusing on patients with MRI-negative epilepsy.

METHODS

A retrospective observational study was conducted on patients evaluated by SEEG in the authors' center. Of 84 total cases, 55 underwent RFTC, with 31 MRI-negative epilepsies that were ultimately included in the study. The primary outcome was freedom from disabling seizures at last follow-up. Secondary outcomes were reduction in seizure frequency (RFTC response = seizure frequency reduction > 50%), peri-interventional complications, and neuropsychological outcomes. Potential factors influencing post-RFTC outcome were considered by comparing different variables between responders and nonresponders.

RESULTS

The mean follow-up period was 30.9 months (range 7.1-69.8 months). Three patients underwent subsequent resection/laser interstitial thermal therapy within the 1st year after RFTC failure. All other patients completed a minimum follow-up period of 1 year. Fourteen patients (45.2%) showed at least a 50% reduction in seizure frequency (responders), and 8 were seizure free (25.8% of the whole cohort). One case showed a permanent complication not directly related to thermolesions. Most patients (76%) showed no significant cognitive decline. Electrically elicited seizures (EESs) were observed in all seizure-free patients and were more frequent in responders (p = 0.038). All patients who were seizure free at the 6-month visit maintained their status during long-term follow-up.

CONCLUSIONS

SEEG-RFTC is a safe procedure and leads to a good response in many cases of MRI-negative focal epilepsies. One-quarter of the patients were seizure free and almost one-half were responders at the last follow-up. Although these results are still far from those achieved through conventional resection, a nonnegligible proportion of patients may benefit from this one-stage and much less invasive approach. Factors associated with seizure outcome remain to be elucidated; however, responders were significantly more frequent among patients with EESs, and achieving 6 months of seizure freedom appears to predict a good long-term response. In addition, the positive predictive value of RFTC response may be a valuable factor in the decision to proceed to subsequent surgery.

Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study

One outstanding challenge for machine learning in diagnostic biomedical imaging is algorithm interpretability. A key application is the identification of subtle epileptogenic focal cortical dysplasias (FCDs) from structural MRI. FCDs are difficult to visualize on structural MRI but are often amenable to surgical resection. We aimed to develop an open-source, interpretable, surface-based machine-learning algorithm to automatically identify FCDs on heterogeneous structural MRI data from epilepsy surgery centres worldwide. The Multi-centre Epilepsy Lesion Detection (MELD) Project collated and harmonized a retrospective MRI cohort of 1015 participants, 618 patients with focal FCD-related epilepsy and 397 controls, from 22 epilepsy centres worldwide. We created a neural network for FCD detection based on 33 surface-based features. The network was trained and cross-validated on 50% of the total cohort and tested on the remaining 50% as well as on 2 independent test sites. Multidimensional feature analysis and integrated gradient saliencies were used to interrogate network performance. Our pipeline outputs individual patient reports, which identify the location of predicted lesions, alongside their imaging features and relative saliency to the classifier. On a restricted 'gold-standard' subcohort of seizure-free patients with FCD type IIB who had T1 and fluid-attenuated inversion recovery MRI data, the MELD FCD surface-based algorithm had a sensitivity of 85%. Across the entire withheld test cohort the sensitivity was 59% and specificity was 54%. After including a border zone around lesions, to account for uncertainty around the borders of manually delineated lesion masks, the sensitivity was 67%. This multicentre, multinational study with open access protocols and code has developed a robust and interpretable machine-learning algorithm for automated detection of focal cortical dysplasias, giving physicians greater confidence in the identification of subtle MRI lesions in individuals with epilepsy.

Mood Disturbances, Anxiety, and Impact on Quality of Life in Patients Admitted to Epilepsy Monitoring Units

Introduction: The overall combined prevalence of anxiety and depression in patients with epilepsy has been estimated at 20.2 and 22.9%, respectively, and is considered more severe in drug-refractory epilepsy. Patients admitted to epilepsy monitoring units constitute a particular group. Also, patients with psychogenic non-epileptic seizures can reach more than 20% of all admissions. This study aims to characterize these symptoms in a large cohort of patients admitted for evaluation in a tertiary epilepsy center.

Materials and Methods: The study was conducted among 493 consecutive patients (age: 38.78 ± 12.7, 57% females) admitted for long-term video EEG from January 2013 to February 2021. Demographic, clinical, and mood disorder patients' data were collected. Anxiety and depression symptoms were assessed through the Hospital Anxiety Depression Scale (HADS-A and HADS-D), the State Trait Anxiety Inventory (STAI), and Beck Depression Inventory (BDI-II). Quality of life was determined using the QOLIE-10. Patients were divided into three groups: patients with epilepsy (n = 395), psychogenic non-epileptic seizures (PNES) (n = 56), and combined (n = 33). A univariate and multivariate regression analysis was performed for variables associated with quality of life.

Results: Of 493 patients, 45.0% had structural etiology, and considering epilepsy classification, 43.6% were of temporal lobe origin. In addition, 32.45% of patients had a previous psychiatric history, 49.9% of patients had depressive symptoms in BDI, and 30.9% according to HADS-D; 56.42 and 52.63% of patients presented pathological anxiety scores in STAI-T and STAI-S, respectively; and 44.78% according to HADS-A. PNES and combined groups revealed a higher incidence of pathologic BDI scores (64.29 and 78.79%, p < 0.001) as well as pathologic HADS-A scores (p = 0.001). Anxiety and depression pathologic results are more prevalent in females, HADS-A (females = 50.7%, males = 36.8%; p = 0.0027) and BDI > 13 (females = 56.6%, males = 41.0%; p = 0.0006). QOLIE-10 showed that 71% of the patients had their quality of life affected with significantly higher scores in the combined group than in the epilepsy and PNES groups (p = 0.0015).

Conclusions: Subjective anxiety, depression, and reduced quality of life are highly prevalent in patients with refractory epilepsy. These symptoms are more evident when PNES are associated with epilepsy and more severe among female patients. Most of the cases were not previously diagnosed. These factors should be considered in everyday clinical practice, and specific approaches might be adapted depending on the patient's profile.

Spanish normative studies (NEURONORMA-Plus project): norms for the Wisconsin Card Sorting Test, the Modified Taylor Complex Figure, and the Ruff-Light Trail Learning Test

OBJECTIVE

The present study aims to provide norms and age-, education-, and sex-adjusted data for the Wisconsin Card Sorting Test (WCST), the Modified Taylor Complex Figure (MTCF), and the Ruff-Light Trail Learning Test (RULIT) as part of the NEURONORMA-Plus project.

METHODS

We recruited 308 cognitively healthy individuals aged between 18 and 92 years. Tables are provided to convert raw scores to age-adjusted scaled scores, as well as adjustments for education and sex after applying independent regression models in 2 age groups (<50 and ≥50 years).

RESULTS

Older age had a negative effect on performance in both age groups. We observed a positive effect of education on WCST performance in the younger group (<50 years), and on all MTCF measures (with the exception of the recognition task) in the older group (≥50 years). Education had no impact on performance in the RULIT, although sex did, with a small but significant effect whereby young men showed higher performance for one variable.

CONCLUSION

The normative data provided can contribute to the clinical interpretation of performance in these tests in the Spanish population.

Spanish normative studies (NEURONORMA-Plus project): norms for the Delis Kaplan-Design Fluency Test, Color Trails Test, and Dual Task

INTRODUCTION

Complex attention and non-verbal fluency tasks are used in neuropsychological assessments with the aim of exploring subdomains of executive function. The purpose of this study is to provide norms and age-, education-, and sex-adjusted data for the Delis Kaplan-Design Fluency Test (DK-DFT), Color Trails Test (CTT), and Dual Task (DT) as part of the NEURONORMA-Plus project.

METHODS

The sample included 308 cognitively healthy individuals aged between 18 and 92 years. Raw scores were converted to age-adjusted scaled scores. These were further converted into education- and sex-adjusted scaled scores by applying linear regression, with 2 age groups (< 50 and ≥ 50 years).

RESULTS

Overall, age had a negative impact on DK-DFT and CTT performance. We observed a positive effect of education on DK-DFT scores only in the older group (≥ 50 years). Moreover, younger men performed slightly better in the basic condition of this test. Education was positively associated with all CTT scores in both age groups, with the exception of the CTT-1 subtest in the younger group. Age and education did not influence DT performance, whereas sex did, with young women performing slightly better.

CONCLUSIONS

These normative data may be useful in the interpretation of neuropsychological assessments in the Spanish population.

Voxel-based morphometry for the evaluation of patients with pharmacoresistant epilepsy with apparently normal MRI

BACKGROUND AND PURPOSE

Magnetic resonance imaging (MRI) is essential in the diagnosis of pharmacoresistant epilepsy (PRE), because patients with lesions detected by MRI have a better prognosis after surgery. Focal cortical dysplasia (FCD) is one of the most frequent etiologies of PRE but can be difficult to identify by MRI. Voxel-based morphometric analysis programs, like the Morphometric Analysis Program (MAP), have been developed to help improve MRI detection. Our objective was to evaluate the clinical usefulness of MAP in patients with PRE and an apparently normal MRI.

METHODS

We studied 70 patients with focal PRE and a nonlesional MRI. The 3DT1 sequence was processed with MAP, obtaining three z-score maps. Patients were classified as MAP+ if one or more z-score maps showed a suspicious area of brightness, and MAP- if the z-score maps did not show any suspicious areas. For MAP+ cases, a second-look MRI was performed with a dedicated inspection based on the MAP findings. The MAP results were correlated with the epileptogenic zone. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

RESULTS

Thirty-one percent of patients were classified as MAP+ and 69% were MAP-. Results showed a sensitivity of 0.57, specificity of 0.8, PPV of 0.91, and NPV of 0.35. In 19% of patients, an FCD was found in the second-look MRI after MAP.

CONCLUSIONS

MAP was helpful in the detection of lesions in PRE patients with a nonlesional MRI, which could have important repercussions for the clinical management and postoperative prognosis of these patients.

Development, equivalence study, and normative data of version B of the Spanish-language Free and Cued Selective Reminding Test

INTRODUCTION

The Free and Cued Selective Reminding Test (FCSRT) is widely used for the assessment of verbal episodic memory, mainly in patients with Alzheimer disease. A Spanish version of the FCSRT and normative data were developed within the NEURONORMA project. Availability of alternative, equivalent versions is useful for following patients up in clinical settings. This study aimed to develop an alternative version of the original FCSRT (version B) and to study its equivalence to the original Spanish test (version A), and its performance in a sample of healthy individuals, in order to develop reference data.

METHODS

We evaluated 232 healthy participants of the NEURONORMA-Plus project, aged between 18 and 90. Thirty-three participants were assessed with both versions using a counterbalanced design.

RESULTS

High intra-class correlation coefficients (between 0.8 and 0.9) were observed in the equivalence study. While no significant differences in performance were observed in total recall scores, free recall scores were significantly lower for version B.

CONCLUSIONS

These preliminary results suggest that the newly developed FCSRT version B is equivalent to version A in the main variables tested. Further studies are necessary to ensure interchangeability between versions. We provide normative data for the new version.