Protocol for the MS-CEBA study: an observational, prospective cohort study identifying Cognitive, Energetic, Behavioural and Affective (CEBA) profiles in Multiple Sclerosis to guide neuropsychological treatment choice.

BACKGROUND: Neuropsychological symptoms in the Cognitive, Energetic, Behavioural, and Affective (CEBA) domains are common in people with multiple sclerosis (PwMS) and can negatively affect societal participation. The current study aims to investigate whether there are combinations of symptoms in the different CEBA domains that consistently occur together, that is, if there are CEBA profiles that can be identified. If so, this study aims to develop a screening instrument identifying CEBA profiles in PwMS to select the most suitable neuropsychological rehabilitation treatment for a given CEBA profile and consequently improve the societal participation of PwMS. METHODS: This study is an observational, prospective cohort study consisting of 3 phases. Phase 1 focuses on the identification of CEBA profiles in a large sample of PwMS (n = 300). Phase 2 focuses on validating these CEBA profiles through replication of results in a new sample (n = 100) and on the development of the screening instrument. Phase 3 focuses on qualitatively evaluating in a small group of PwMS whether the selected treatment is suitable for the given CEBA profile or whether existing neuropsychological treatments should be adapted to meet the needs of PwMS suffering from symptoms in multiple CEBA domains simultaneously. Primary outcome is the CEBA profile, which will be derived from performance on neuropsychological assessment consisting of tests and questionnaires regarding the CEBA domains using a latent profile analysis. Inclusion criteria include MS diagnosis, sufficient ability in the Dutch language, and an age between 18 and 70 years. DISCUSSION: The results of the current study will contribute to a more comprehensive understanding of the entire spectrum of neuropsychological symptoms in PwMS. Identification of possible CEBA profiles, and accordingly, the development of a screening instrument determining the CEBA profile of PwMS in clinical practice, contributes to the timely referral of PwMS to the most suitable neuropsychological rehabilitation treatment. If necessary, adjustments to existing treatments will be suggested in order to sufficiently meet the needs of PwMS. All of this with the ultimate aim to improve societal participation, and thereby quality of life, of PwMS. TRIAL REGISTRATION: Dutch Central Committee on Research Involving Human Subjects (CCMO) NL83954.042.23; ClinicalTrials.gov NCT06016309.

Neuropsychological profiles in first-episodes psychosis and their relationship with clinical, metacognition and social cognition variables.

An increasing interest in the assessment of neuropsychological performance variability in people with first-episode psychosis (FEP) has emerged. However, its association with clinical and functional outcomes requires further study. Furthermore, FEP neuropsychological subgroups have not been characterized by clinical insight or metacognition and social cognition domains. The aim of this exploratory study was to identify specific groups of patients with FEP based on neuropsychological variables and to compare their sociodemographic, clinical, metacognition and social cognition profiles. A sample of 149 FEP was recruited from adult mental health services. Neuropsychological performance was assessed by a neuropsychological battery (WAIS-III; TMT; WSCT; Stroop Test; TAVEC). The assessment also included sociodemographic characteristics, clinical, functional, metacognition and social cognition variables. Two distinct neuropsychological profiles emerged: one neuropsychological impaired cluster (N = 56) and one relatively intact cluster (N = 93). Significant differences were found between both profiles in terms of sociodemographic characteristics (age and level of education) (p = 0.001), clinical symptoms (negative, positive, disorganized, excitement and anxiety) (p = 0.041-0.001), clinical insight (p = 0.038-0.017), global functioning (p = 0.014), as well as in social cognition domains (emotional processing and theory of mind) (p = 0.001; p = 0.002). No significant differences were found in metacognitive variables (cognitive insight and 'jumping to conclusions' bias). Relationship between neurocognitive impairment, social cognition and metacognition deficits are discussed. Early identifying of neuropsychological profiles in FEP, characterized by significant differences in clinical and social cognition variables, could provide insight into the prognosis and guide the implementation of tailored early-intervention.

Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls.

INTRODUCTION: Patients with subjective memory complaints (SMC) may include subgroups with different neuropsychological profiles and risks of cognitive impairment. METHODS: Cluster analysis was performed on two datasets (n: 630 and 734) comprising demographic and neuropsychological data from SMC and healthy controls (HC). Survival analyses were conducted on clusters. Bayesian model averaging assessed the predictive utility of clusters and other biomarkers. RESULTS: Two clusters with higher and lower than average cognitive performance were detected in SMC and HC. Assignment to the lower performance cluster increased the risk of cognitive impairment in both datasets (hazard ratios: 1.78 and 2.96; Plog-rank: 0.04 and <0.001) and was associated with lower hippocampal volumes and higher tau/amyloid beta 42 ratios in cerebrospinal fluid. The effect of SMC was small and confounded by mood. DISCUSSION: This study provides evidence of the presence of cognitive clusters that hold biological significance and predictive value for cognitive decline in SMC and HC. HIGHLIGHTS: Patients with subjective memory complaints include two cognitive clusters. Assignment to the lower performance cluster increases risk of cognitive impairment. This cluster shows a pattern of biomarkers consistent with incipient Alzheimer's disease pathology. The same cognitive cluster structure is found in healthy controls. The effect of memory complaints on risk of cognitive decline is small and confounded.

[Clustering of cognitive domains among older adults with HIV]. / Agrupación de dominios cognitivos en personas mayores con VIH.

Background: Age and HIV are synergistic risk factors for conditions such as HIV-associated neurocognitive disorders (HAND). Yet, it is unclear whether OAWH display different cognitive profiles for HAND. Objective: To describe the cognitive patterns of OAWH treated with combined antiretroviral therapy (cART). Methods: Cross-sectional study that included 330 participants with HIV, aged 50 years or older, cared for at a tertiary care hospital in Mexico City. A short neuropsychological test battery was used to assess a wide spectrum of cognitive functions. The optimal number of cognitive clusters was determined by the silhouette method and a minimization of the Bayesian information criterion. Results: Participants' mean age was 58.8 years (SD = 6.6), and 12.1% were women. A 3-cluster solution yielded stable Jaccard coefficients (p > 0.70). Cluster 1 showed more significant impairment in visual and verbal memory domains, whereas participants in cluster 3 showed significant impairment in language, and abstraction. Cluster 2 showed no predominance of any domain for alterations. Conclusions: There are different cognitive profiles among OAWH with HAND. These differences may be due to individual patterns of HIV-related and non-HIV-related factors.

Antecedentes: La edad y el VIH constituyen factores de riesgo sinérgicos de afecciones como los trastornos neurocognitivos asociados al VIH (TNAV). No se ha esclarecido si las personas mayores con VIH presentan perfiles cognitivos diferentes en caso de padecer TNAV. Objetivo: Describir los patrones cognitivos de adultos mayores con VIH tratados con terapia antirretroviral combinada (TARc). Métodos: Estudio transversal que incluyó a 330 participantes con VIH, de 50 años o más, atendidos en un centro hospitalario de tercer nivel en la Ciudad de México. Se utilizó una batería neuropsicológica corta estandarizada a fin de evaluar un amplio espectro de funciones cognitivas. Se determinó el número óptimo de grupos de dominios cognitivos a partir del método de la silueta y minimización del criterio de información bayesiano. Resultados: La edad promedio de los participantes fue de 58.8 años; las mujeres constituyeron 12.1 %. Una solución de tres grupos produjo coeficientes de Jaccard estables (p > 0.70). El grupo 1 mostró deterioro más significativo en la memoria visual y verbal, en tanto que el grupo 3 mostró deterioro significativo en el lenguaje y la abstracción. En el grupo 2 no se registró predominio de ningún dominio en cuanto a alteraciones. Conclusiones: Existen perfiles cognitivos diferentes entre las personas mayores con VIH y TNAV. Estas diferencias pueden deberse a patrones individuales de factores relacionados o no con el VIH.

Neuropsychological profiles in children and young adults with spina bifida.

PURPOSE: A total of 43 Italian children, aged between 6 and 16 years, diagnosed with spina bifida, myelomeningocele, and shunted hydrocephalus have been described clinically and completed a neuropsychological battery in order to evaluate their cognitive, personality, and behavior profile. METHODS: Enrolled children underwent cognitive assessment by means of the Weschler WISC-IV cognitive test and assessment of the attention sustained through the LEITER test. In addition, parents were asked, in order to obtain a personality and behavior profile of the children, to fill in a "CBCL 6-18 years" questionnaire and to fill in a Barthel Index questionnaire. RESULTS: Processing Speed Index of the WISC-IV QI scale was statistically significant (p = 0.027), with the highest value presented by autonomous patients (95.8 ± 12.8) and the lowest by patients using a wheelchair (75.5 ± 19). WISC-IV QI mean value is 98 (±15.7) for lipoma patients and 78.7 (±17.6) for LMMC and MMC patients (p = 0.001). In more detail, Perceptual Reasoning (p < 0.0005), Working Memory (p = 0.01), and Processing Speed Index (p = 0.001) highlighted a significant difference between the groups. The attention sustained subscale of the LEITER presented a mean of 6.9 (±3.1) for lipoma patients and a men value of 4.6 (±3.1) for LMMC and MMC patients (p = 0.024). Patients with hydrocephalus had statistically significant worse cognition and autonomy (Barthel Index) score (p < 0.001) compared with those without hydrocephalus, and normal scores regarding attention and depression scales. CONCLUSION: These results can be useful in planning dedicated therapeutic protocols such as suitable rehabilitation treatments, speech therapy, psychomotor skills, and cognitive enhancement and to develop prevention protocols particularly tailored for children with hydrocephalus who appear to have the more deficient skills.

Cognitive phenotypes 1 month after ICU discharge in mechanically ventilated patients: a prospective observational cohort study.

BACKGROUND: ICU patients undergoing invasive mechanical ventilation experience cognitive decline associated with their critical illness and its management. The early detection of different cognitive phenotypes might reveal the involvement of diverse pathophysiological mechanisms and help to clarify the role of the precipitating and predisposing factors. Our main objective is to identify cognitive phenotypes in critically ill survivors 1 month after ICU discharge using an unsupervised machine learning method, and to contrast them with the classical approach of cognitive impairment assessment. For descriptive purposes, precipitating and predisposing factors for cognitive impairment were explored. METHODS: A total of 156 mechanically ventilated critically ill patients from two medical/surgical ICUs were prospectively studied. Patients with previous cognitive impairment, neurological or psychiatric diagnosis were excluded. Clinical variables were registered during ICU stay, and 100 patients were cognitively assessed 1 month after ICU discharge. The unsupervised machine learning K-means clustering algorithm was applied to detect cognitive phenotypes. Exploratory analyses were used to study precipitating and predisposing factors for cognitive impairment. RESULTS: K-means testing identified three clusters (K) of patients with different cognitive phenotypes: K1 (n = 13), severe cognitive impairment in speed of processing (92%) and executive function (85%); K2 (n = 33), moderate-to-severe deficits in learning-memory (55%), memory retrieval (67%), speed of processing (36.4%) and executive function (33.3%); and K3 (n = 46), normal cognitive profile in 89% of patients. Using the classical approach, moderate-to-severe cognitive decline was recorded in 47% of patients, while the K-means method accurately classified 85.9%. The descriptive analysis showed significant differences in days (p = 0.016) and doses (p = 0.039) with opioid treatment in K1 vs. K2 and K3. In K2, there were more women, patients were older and had more comorbidities (p = 0.001) than in K1 or K3. Cognitive reserve was significantly (p = 0.001) higher in K3 than in K1 or K2. CONCLUSION: One month after ICU discharge, three groups of patients with different cognitive phenotypes were identified through an unsupervised machine learning method. This novel approach improved the classical classification of cognitive impairment in ICU survivors. In the exploratory analysis, gender, age and the level of cognitive reserve emerged as relevant predisposing factors for cognitive impairment in ICU patients. TRIAL REGISTRATION: ClinicalTrials.gov Identifier:NCT02390024; March 17,2015.

Statistically Derived Subtypes and Associations with Cerebrospinal Fluid and Genetic Biomarkers in Mild Cognitive Impairment: A Latent Profile Analysis.

OBJECTIVES: Research demonstrates heterogeneous neuropsychological profiles among individuals with mild cognitive impairment (MCI). However, few studies have included visuoconstructional ability or used latent mixture modeling to statistically identify MCI subtypes. Therefore, we examined whether unique neuropsychological MCI profiles could be ascertained using latent profile analysis (LPA), and subsequently investigated cerebrospinal fluid (CSF) biomarkers, genotype, and longitudinal clinical outcomes between the empirically derived classes. METHODS: A total of 806 participants diagnosed by means of the Alzheimer's Disease Neuroimaging Initiative (ADNI) MCI criteria received a comprehensive neuropsychological battery assessing visuoconstructional ability, language, attention/executive function, and episodic memory. Test scores were adjusted for demographic characteristics using standardized regression coefficients based on "robust" normal control performance (n=260). Calculated Z-scores were subsequently used in the LPA, and CSF-derived biomarkers, genotype, and longitudinal clinical outcome were evaluated between the LPA-derived MCI classes. RESULTS: Statistical fit indices suggested a 3-class model was the optimal LPA solution. The three-class LPA consisted of a mixed impairment MCI class (n=106), an amnestic MCI class (n=455), and an LPA-derived normal class (n=245). Additionally, the amnestic and mixed classes were more likely to be apolipoprotein e4+ and have worse Alzheimer's disease CSF biomarkers than LPA-derived normal subjects. CONCLUSIONS: Our study supports significant heterogeneity in MCI neuropsychological profiles using LPA and extends prior work (Edmonds et al., 2015) by demonstrating a lower rate of progression in the approximately one-third of ADNI MCI individuals who may represent "false-positive" diagnoses. Our results underscore the importance of using sensitive, actuarial methods for diagnosing MCI, as current diagnostic methods may be over-inclusive. (JINS, 2017, 23, 564-576).

Neuropsychological profiles comparison between Multiple Sclerosis patients and Multiple Sclerosis patients with overlapping features of Systemic Lupus Erythematosus.

AIM: Multiple sclerosis (MS) and Systemic Lupus Erythematosus (SLE) are autoimmune disorders that may lead to cognitive impairment. This study aimed to compare the neuropsychological profiles of patients with MS, and MS and coexisting SLE features. METHODS: We included a total of 90 participants, divided into 3 groups: 30 patients with clinically definite relapsing remitting MS, 30 with coexisting MS and incomplete SLE (overlap group) and 30 healthy controls (HC). All participants underwent neuropsychological assessment with the Montreal Cognitive Assessment (MoCA), Symbol Digit Modalities Test (SDMT), Paced Auditory Serial Addition Test (PASAT), and Selective Reminding Test (SRT). RESULTS: Both groups scored lower on the MoCA compared to the HC (p < .001). The overlap group showed the lowest performance on the SDMT and PASAT compared to the other two groups (p < .01), while the MS group scored similarly to the HC in the PASAT (p > .05). Regarding the learning rate and long-term recall, the overlap group had lower scores compared to both the MS and HC (p < .001), but it outperformed both groups in the retention efficacy score (p < .001). The MS group did not differ significantly from the HC in these memory domains (p > .05). CONCLUSION: The overlap group exhibited a broader range of impairments, including slower processing speed, decreased working memory, reduced learning rate, and long-term retrieval deficits. Their retention ability remained intact. The coexistence of MS with SLE pathology had additive impacts on cognitive function.

Post-stroke cognitive impairment remains highly prevalent and disabling despite state-of-the-art stroke treatment.

BACKGROUND: State-of-the-art stroke treatment significantly reduces lesion size and stroke severity, but it remains unclear whether these therapeutic advances have diminished the burden of post-stroke cognitive impairment (PSCI). AIMS: In a cohort of patients receiving modern state-of-the-art stroke care including endovascular therapy, we assessed the frequency of PSCI and the pattern of domain-specific cognitive deficits, identified risk factors for PSCI, and determined the impact of acute PSCI on stroke outcome. METHODS: In this prospective monocentric cohort study, we examined patients with first-ever anterior circulation ischemic stroke without pre-stroke cognitive decline, using a comprehensive neuropsychological assessment ⩽10 days after symptom onset. Normative data were stratified by demographic variables. We defined PSCI as at least moderate (<1.5 standard deviation) deficits in ⩾2 cognitive domains. Multivariable regression analysis was applied to define risk factors for PSCI. RESULTS: We analyzed 329 non-aphasic patients admitted from December 2020 to July 2023 (67.2 ± 14.4 years old, 41.3% female, 13.1 ± 2.7 years of education). Although most patients had mild stroke (median National Institutes of Health Stroke Scale (NIHSS) 24 h = 1.00 (0.00; 3.00); 87.5% with NIHSS ⩽ 5), 69.3% of them presented with PSCI 2.7 ± 2.0 days post-stroke. The most severely and often affected cognitive domains were verbal learning, episodic memory, executive functions, selective attention, and constructive abilities (39.1%-51.2% of patients), whereas spatial neglect was less frequent (18.5%). The risk of PSCI was reduced with more years of education (odds ratio (OR) = 0.47, 95% confidence interval (CI) = 0.23-0.99) and right hemisphere lesions (OR = 0.47, 95% CI = 0.26-0.84), and increased with stroke severity (NIHSS 24 h, OR = 4.19, 95% CI = 2.72-6.45), presence of hyperlipidemia (OR = 1.93, 95% CI = 1.01-3.68), but was not influenced by age. After adjusting for stroke severity and depressive symptoms, acute PSCI was associated with poor functional outcome (modified Rankin Scale > 2, F = 13.695, p < 0.001) and worse global cognition (Montreal Cognitive Assessment (MoCA) score, F = 20.069, p < 0.001) at 3 months post-stroke. CONCLUSION: Despite modern stroke therapy and many strokes having mild severity, PSCI in the acute stroke phase remains frequent and associated with worse outcome. The most prevalent were learning and memory deficits. Cognitive reserve operationalized as years of education independently protects post-stroke cognition.

A temporal classification method based on behavior time series data in patients with behavioral variant of frontotemporal dementia and apathy.

Background Apathy is a common behavioral syndrome that occurs across neurological and psychiatric disorders. An influential theoretical framework defined apathy as the quantitative reduction of self-generated voluntary and purposeful behaviors. There is evidence in the literature of the multidimensional nature of apathy with cognitive, behavioral, and emotional dimensions. To date, apathy has been assessed using various scales and questionnaires. Alternative objective and ecological measurements of apathy are needed. New method We used the ECOCAPTURE protocol and an ethological approach to investigate behavior in bvFTD patients under ecological conditions (a waiting room) while they freely explored a novel environment. Data were collected by behavioral coding from 7-minute video using an ethogram and transformed into behavior time series data. We present an approach considering behavioral kinetics to assess behavior. We aimed to construct a new behavior analysis method, called ECOCAPTURE kinetics, using temporal classification for behavior time series data analysis. To develop our classifier, we retained a nonelastic Euclidian metric, combined with a convolutional approach. Results We applied the ECOCAPTURE kinetics method to a cohort of 20 bvFTD patients and 18 healthy controls. We showed that bvFTD patients can be classified according to their behavioral kinetics into three groups. Each subgroup was characterized by specific behavior disorders and neuropsychological profile. Comparison with Existing Method(s) The ECOCAPTURE kinetics method is different from those of the classical approach of measuring behavior, producing time budgets, frequency of behavior occurrences, or kinematic diagrams. Conclusions This approach can be extended to any behavioral study encoding time.

The Cognitive Profile of Mild Cognitive Impairment Due to Dementia With Lewy Bodies-An Updated Review.

Objective: Dementia with Lewy Bodies (DLB) is the second most common type of neurodegenerative dementia. Yet, the domain-specific cognitive impairment of the mild cognitive impairment (MCI) phase of this disease (DLB-MCI) is still not been established. This article gives an updated review on the neuropsychological profile of DLB-MCI, building on the findings from a previous review. Methods: We performed systematic review and searched five different electronic databases (Scopus, Cochrane, EMBASE, MEDLINE, and PsycINFO) in May 2020 based on a PICO scheme. Our search was then restricted to articles published in 2019 and 2020. Ending up with a total of 90 articles to be reviewed by abstract and/or full text. Results: In total four papers were included, whereof only one met our full inclusion criteria. Despite a substantial heterogeneity, our findings indicate that DLB-MCI patients have a pattern of executive, visuospatial, and attentional deficits. Conclusion: The findings indicate that the neuropsychological profile of DLB-MCI is characterized by executive, visuospatial, and attentional deficits. Furthermore, the shortage of studies clearly underlines the paucity of published research into DLB-MCI and emphasizes the need for well-controlled studies.

Experimental data on demographic, functional and structures of patients with schizophrenia and schizophrenia-dementia.

Schizophrenia is a severe mental disorder that includes behavioural and cognitive manifestations generated by genetic or environmental factors, caused by a dysfunction of the dopaminergic system which contributes to the genesis of psychosis, producing a profound effect on affected individuals and society [6]. In this work, demographic data, neuropsychological profiles and measurements of brain morphometry, using Magnetic Resonance Image (MRI), of three groups of patients are presented. A control group with 15 patients, a schizophrenic without dementia group with 10 patients, and a schizophrenic with dementia group with 10 patients constituted the observed sample. Results of 21 neuropsychological tests and 11 brain structure measurements are included. The data set is a comprehensive source for advancing in a further understanding of schizophrenia and schizophrenia-dementia neuro-pathologies.

A Latent Transition Analysis Model to Assess Change in Cognitive States over Three Occasions: Results from the Rush Memory and Aging Project.

BACKGROUND: Conceptualizing cognitive aging as a step-sequential process is useful in identifying particular stages of cognitive function and impairment. OBJECTIVE: We applied latent transition analysis (LTA) to determine 1) whether the underlying structure of cognitive profiles found at every measurement occasion are uniform across three waves of assessment, 2) whether class-instability is predictive of distal outcomes, and 3) whether class-reversions from impaired to non-impaired using latent modelling is lower than when using clinical criteria of mild cognitive impairment (MCI). METHODS: A mover-stayer LTA model with dementia as a distal outcome was specified to model transitions of ten neuropsychological measures over three annual waves in the Rush Memory and Aging Project (n = 1,661). The predictive validity of the mover-stayer status for incident Alzheimer's disease (AD) was then assessed. RESULTS: We identified a five-class model across the three time-points: Mixed-Domain Impairment, Memory-Specific Impairment, Frontal Impairment, Average, and Superior Cognition. None of the individuals in the Impairment classes reverted to the Average or Superior classes. Conventional MCI classification identified 26.4% and 14.1% at Times 1 and 2 as false-positive cases. "Movers" had 87% increased risk of developing dementia compared to those classified as "Stayers". CONCLUSION: Our findings support the use of latent variable modelling that incorporates comprehensive neuropsychological assessment to identify and classify cognitive impairment.

Subtypes Based on Neuropsychological Performance Predict Incident Dementia: Findings from the Rush Memory and Aging Project.

BACKGROUND: In a previous report, we used latent class analysis (LCA) to identify natural subgroups of older adults in the Einstein Aging Study (EAS) based on neuropsychological performance. These subgroups differed in demographics, genetic profile, and prognosis. Herein, we assess the generalizability of these findings to an independent sample, the Rush Memory and Aging Project (MAP), which used an overlapping, but distinct neuropsychological battery. OBJECTIVE: Our aim was to identify the association of natural subgroups based on neuropsychological performance in the MAP cohort with incident dementia and compare them with the associations identified in the EAS. METHODS: MAP is a community-dwelling cohort of older adults living in the northeastern Illinois, Chicago. Latent class models were applied to baseline scores of 10 neuropsychological measures across 1,662 dementia-free MAP participants. Results were compared to prior findings from the EAS. RESULTS: LCA resulted in a 5-class model: Mixed-Domain Impairment (n = 71, 4.3%), Memory-specific-Impairment (n = 274, 16.5%), Average (n = 767, 46.1%), Frontal Impairment (n = 222, 13.4%), and a class of Superior Cognition (n = 328, 19.7%). Similar to the EAS, the Mixed-Domain Impairment, the Memory-Specific Impairment, and the Frontal Impairment classes had higher risk of incident Alzheimer's disease when compared to the Average class. By contrast, the Superior Cognition had a lower risk of Alzheimer's disease when compared to the Average class. CONCLUSIONS: Natural cognitive subgroups in MAP are similar to those identified in EAS. These similarities, despite study differences in geography, sampling strategy, and cognitive tests, suggest that LCA is capable of identifying classes that are not limited to a single sample or a set of cognitive tests.

Childhood-onset form of myotonic dystrophy type 1 and autism spectrum disorder: Is there comorbidity?

Myotonic dystrophy type 1 (DM1) is a multisystemic disorder with neuromuscular symptoms and brain dysfunctions. Depending on the phenotypic expression, the degree of cognitive impairment remains heterogeneous, ranging from moderate to severe intellectual disability in the congenital form, to executive, visuospatial and personality dysfunction in the adult-onset form. Studies exploring the cognitive or psychiatric impairments in the childhood form of DM1, characterized by an age of onset between one and ten years, uneventful pre and post natal history and normal development the first year of life, are scarce and show conflicting results in regard to a comorbid diagnosis of Autism Spectrum Disorder (ASD). The aim of the current review is to summarize diagnostic criteria and update the state of the debate regarding comorbidity. Evidence from 9 studies collected in PubMed database (representing a total of 175 cases) focusing on clinical, neuropsychological and neuroimaging domains in childhood DM1 is considered and similarities or differences between childhood DM1 and ASD are identified. Highlighting what is known about the neurocognitive features specific to the childhood-onset form of DM1 could help (1) propose early screening regarding socio-emotional and attentional/executive functions or (2) implement therapeutic programs based on reinforcement of executive skills or social cognition.

Cognitive-behavioral profiles in teenagers with Dravet syndrome.

AIM: To investigate behavior and cognitive performances of teenage patients with Dravet syndrome (DS). METHODS: We enrolled 20 teenage patients (12 females and 8 males) with DS, followed in the Child Neurology Unit of the Catholic University (Rome). Patients underwent a full clinical examination including behavioral and cognitive assessments (respectively, CBCL and Wechsler scales). RESULTS: All patients showed behavior disorders and mental retardation, mild in six cases, moderate in seven and severe in the remaining seven. Among mildly retarded patients visual function, particularly visuo-motor abilities resulted mostly impaired in Wechsler subtests, whereas verbal skills were relatively preserved. In contrast, a general cognitive impairment was observed in moderately and severely retarded patients. CONCLUSIONS: Our teenage patients with DS compared with other series at different ages (young childhood, adulthood) suggest a progressivity of neurological and neuropsychological signs. A visuomotor default and a relative preservation of verbal skills, like what has been found in previous reports of younger patients, are still evident in mildly impaired cases. Therefore, the progression over time of these cases toward a generalized impairment may be suggested, but only longitudinal studies can confirm it. There was a possible responsibility of some epileptic disorders in worsening the neuropsychological outcome (early myoclonic seizures and atypical absences, as well as persistent EEG background slowness in the last 3years).

Similarities and Differences of Neuropsychological Profiles in Children and Adolescents with Anorexia Nervosa and Healthy Controls Using Cluster and Discriminant Function Analyses.

OBJECTIVE: This study aimed to identify discrete neuropsychological profiles and their relationship to clinical symptoms in 253 female children and adolescents with anorexia nervosa (AN) and 170 healthy controls (HCs) using a standardised neuropsychological assessment battery. METHOD: Hierarchical cluster analysis was used to identify the optimum number of clusters, and participants were assigned using K-means cluster analysis. Confirmatory discriminant function analysis determined which combination of neuropsychological variables best distinguished the clusters. RESULTS: Three distinct clusters in the AN sample emerged- AN cluster 1 (19%) - "neuropsychologically low average to average"; AN cluster 2 (33%) - "verbal/visuo-spatial discrepancy"; and AN cluster 3 (48%) - "verbally strong and neuropsychologically average to high average". Two distinct clusters in HCs were identified. HC cluster 1 (48%) demonstrated poor visuo-spatial memory scores and high verbal fluency scores, whilst HC cluster 2 (52%) scored within the average range on all neuropsychological tasks. Neuropsychological performance was associated with clinical symptoms of body mass index centile, Eating Disorder Examination subscale and global score, anxiety, depression and obsessions, and compulsions between the AN and HC groups. However, niether significant differences emerged between AN clusters only nor HC clusters only at the post-hoc level. DISCUSSION: An underlying neuropsychological heterogeneity may exist in AN. We encourage future studies to investigate whether the identified profiles and their association with clinical characteristics are replicable. We cautiously suggest that neuropsychological profiling may have potential to both inform future research and have possible clinical benefits through individually tailored treatment strategies.

Comparison of neuropsychological profiles in patients with Alzheimer's disease and mixed dementia.

OBJECTS: We designed this study to extensively compare the neuropsychological profiles of Alzheimer's disease (AD) and mixed dementia (MD) in a large multicenter cohort of patients. Specifically, we performed subgroup analyses to examine group differences associated with dementia severity. METHODS: A total of 1021 AD patients and 577 MD patients were included from the Clinical Research Center for Dementia of South Korea (CREDOS) Study. All patients underwent comprehensive neuropsychological and functional ratings, as well as complete physical and neurological examinations. To avoid floor confounds, only patients with Clinical Dementia Rating (CDR) scores of 0.5-2.0 were included. RESULTS: Overall, MD patients showed worse performance in frontal/executive function than those with AD. Stratification by dementia severity revealed a significant difference in global cognitive function scores between AD and MD patients only in the low severity groups (CDR 0.5). Also, MD patients showed worse performance in frontal/executive function domains in the CDR 0.5 groups whereas they had better performance in the memory domain in the CDR 1 groups than did AD patients. Additionally, AD patients showed better performance than MD patients with respect to activities of daily living at CDR levels 0.5 and 1. All differences had disappeared at the CDR 2 level of global dementia severity. CONCLUSION: This study suggests that there are significant differences in neuropsychological profiles between AD and MD patients, with the pattern of this difference varying distinctively according to dementia severity.

Neuropsychological profiles of an elderly cohort undergoing elective surgery and the relationship between cognitive performance and delirium.

OBJECTIVES: To examine baseline (preoperative) neuropsychological test performance in a cohort of elderly individuals undergoing elective surgery and the association between specific neuropsychological domains and postoperative delirium. DESIGN: Ongoing prospective cohort study. SETTING: Successful Aging after Elective Surgery Study. PARTICIPANTS: Elderly adults (N=300) scheduled for elective (noncardiac) surgery. MEASUREMENTS: Neuropsychological testing, including standardized assessments of memory, divided and sustained attention, speed of mental processing, verbal fluency, working memory, language, and an overall measure of premorbid cognitive functioning, was performed 2 to 4 weeks before surgery. The relationship between the individual neuropsychological tests and delirium status was examined using linear regression, adjusting for age, sex, and education. RESULTS: Study participants were generally highly educated (mean years of education 15.0±2.9), with minimal or no cognitive impairment (mean Modified Mini-Mental State Examination score 93.2 out of 100). After adjustment, participants who developed postoperative delirium had performed significantly lower preoperatively on measures of speed of mental processing and divided attention (Trail-Making Test Part B, mean difference 17.55, P=.02), category fluency (animal naming, mean difference -1.94, P=.01), sustained visual attention (Visual Search and Attention, mean difference -3.19, P<.001), and working memory with new learning and recall (Hopkins Verbal Learning Test-Revised Total mean difference -0.53 to -0.79, P<.01). CONCLUSION: Individuals who later develop delirium have lower scores on tests evaluating the areas of complex attention, executive functioning, and rapid access to verbal knowledge or semantic networks at baseline. Future studies to better understand how the cognitive profiles identified may predispose individuals to developing delirium may help pave the way to greater understanding of the mechanisms of delirium.