Neuropsychological Tests Research Articles

Peripheral Brain-Derived Neurotrophic Factor (BDNF) and Its Regulatory miRNAs as Biological Correlates of Impulsivity in Young Adults.

Background: Impulsivity assessment may serve as a valuable clinical tool in the stratification of suicide risk. Acting without forethought is a crucial feature in the psychopathology of many psychiatric disturbances and corresponds with suicidal ideations, behaviors, and attempts. Methods: We present data on biological and psychological correlates of impulsivity among young adults (n = 47). Psychological analysis included both the self-description questionnaire-Barratt Impulsiveness Scale (BIS-11)-and neuropsychological behavioral tests, including the Iowa Gambling Task (IGT), the Simple Response Time task (SRT), and the Continuous Performance Test (CPT). mRNA and micro-RNA were isolated from peripheral blood mononuclear cells (PBMC). Expression levels of Brain-Derived Neurotrophic Factor (BDNF) mRNA and its regulatory micro RNAs, mir-1-3p, mir-15a-5p, mir-26a-5p, mir-26b-5p, and mir-195-5p, were analyzed using the quantitative reverse transcription polymerase chain reaction (RT-qPCR) method. proBDNF and BDNF plasma protein levels were quantified using enzyme-linked immunosorbent assay (ELISA). Results: Significant correlations between BDNF mRNA and mir-15a-5p as well as proBDNF levels and mir-1-3p were detected. proBDNF protein levels correlated with motor and perseverance, while mir-26b correlated with cognitive complexity subdimensions of the BIS-11 scale. Correlations between BDNF, miRNAs, and the results of neuropsychological tests were also detected. Conclusions: The BDNF pathway shows a clinical potential in searching for biomarkers of impulse-control impairment. BDNF-regulatory micro-RNAs are detectable and related to clinical parameters in the studied population, which needs further research.

Beyond brain injury: Examining the neuropsychological and psychosocial sequelae of post-traumatic epilepsy.

This study investigates neuropsychological and psychosocial outcomes in patients with traumatic brain injury (TBI) and post-traumatic epilepsy (PTE) compared to a healthy control group. Utilizing a quasi-experimental cross-sectional design, the research involved patients with TBI and PTE referred from a Taiwanese medical center. An age- and education-matched control group of healthy adults without traumatic injuries was also recruited. The study involved analyzing retrospective medical records and applying a comprehensive suite of neuropsychological tests and psychosocial questionnaires. Executive function measures revealed significantly reduced performance in both the TBI and PTE groups compared to controls. Specifically, the MoCA scores were lowest in the PTE group, followed by the TBI group, and highest in the controls. Measures of subjective symptomatology showed comparably elevated levels in both the TBI and PTE groups relative to controls. The research suggests that PTE may intensify the difficulties faced by individuals with TBI, but its impact on overall recovery might not be significant, considering the trajectory of the brain injury itself. Notably, the MoCA results indicate that cognitive deficits are more pronounced in PTE patients compared to those with TBI, underscoring the necessity for targeted neuropsychological assessments. Further investigation is essential to explore PTE's broader neuropsychological and psychosocial impacts. These findings advocate for tailored care strategies that address both neuropsychological and psychosocial needs, ensuring comprehensive management of TBI and PTE.

The volumes of amygdala subregions and peripheral programmed cell death protein-1 levels are associated with cognitive decline in individuals with knee osteoarthritis.

Persistent pain is a prominent symptom of knee osteoarthritis (KOA) and has been associated with cognitive decline in individuals with KOA. The amygdala, a complex structure consisting of nine subnuclei, and programmed cell death protein-1 (PD-1) levels play crucial roles in pain regulation and cognitive processing. This study aims to investigate the relationships among amygdala subregion volumes, cognitive function, and PD-1 levels to elucidate the underlying mechanism of cognitive decline in KOA. In this cross-sectional study, we recruited 36 patients with KOA and 25 age/gender-matched healthy controls for neuropsychological tests, structural magnetic resonance imaging scanning, and measurement of serum PD-1 levels. We used the atlas provided by FreeSurfer software to automatically segment the amygdala subnuclei. Subsequently, we compared the volumes of amygdala subregions between groups and explored their correlation with clinical scores and PD-1 levels. Compared to healthy controls, individuals with KOA exhibited significantly lower scores on global cognition tasks, such as long-delay free recall, short-delay free recall, and immediate recall tasks. Moreover, they displayed decreased volumes in lateral nucleus basal nucleus paralaminar nucleus while showing increased volumes in accessory basal nucleus, central nucleus, medial nucleus, and cortical nucleus. Within the KOA group specifically, paralaminar volume was negatively correlated with immediate recall scores; pain scores were negatively correlated with global cognition; basal volume was negatively correlated with PD-1 levels. Our findings highlight those alterations in amygdala subregion volumes along with changes in serum PD-1 levels may contribute to observe cognitive decline among individuals suffering from KOA.

Concurrent Validity of Performance-Based Measures of Daily Functioning with Cognitive Measures and Informant Reported Everyday Functioning.

Despite the substantial need for reliable and valid assessment of functional ability in older adults, there is currently limited research on the emergence of early functional declines during prodromal dementia stages, such as subjective cognitive decline (SCD) and mild cognitive impairment (MCI). This study uses novel performance-based assessments to characterize subtle, yet clinically meaningful, changes in functional ability. A sample of 93 older adults classified as cognitively unimpaired (CU; n = 30, Mage = 73.57 ± 6.66), SCD (n = 34, Mage = 72.56 ± 6.43), or MCI (n = 29, Mage = 78.28 ± 7.55) underwent neuropsychological testing along with an informant-rated daily functional skills measure (Assessment of Functional Capacity Interview). Participants also completed the Night Out Task (NOT), an open-ended performance-based measure of functional assessment, and the Financial Capacity Instrument-Short Form (FCI-SF) that assesses financial skills. The MCI group performed worse on the NOT and FCI-SF relative to SCD and CU. NOT and FCI scores were associated with measures of global cognitive function, executive function, processing speed, language and memory, and FCI-SF overall score was correlated with informant-rated functional ability. The NOT and FCI-SF were also predictive of informant-reported daily functioning over and above traditional cognitive data and demographics. Performance-based measures of IADL may allow for earlier detection of subtle functional changes that might not be adequately captured by traditional measures. The measurement of early functional changes is an important global outcome to evaluate the efficacy of interventions in dementia research.

Time reference in French-speaking people with fluent and non-fluent aphasia (part I): tense dissociations, task effects and cognitive predictors

ABSTRACT Background People with fluent and non-fluent aphasia frequently have time reference deficits, which could be more pronounced for the past than for the present and future tenses. However, this performance pattern (past < non-past) is not consensual and might depend on the type of task used. Furthermore, the influence of cognitive processes on time reference deficits remains little explored, as does the origin of these difficulties (e.g. pre-phonological, morpho-phonological). Aims The primary aims of the study were (1) to identify time reference deficits and (2) dissociations between tenses in French speakers with fluent and non-fluent aphasia and (3) to specify the effect of tasks on performance and tense dissociations. Secondly, our study also aimed to determine whether time reference deficits were (4) influenced by cognitive functions and (5) explained by pre-phonological or morpho-phonological deficits. Methods & procedures Twenty-one French-speaking participants with fluent and non-fluent aphasia and 21 matched control subjects performed three tasks assessing time reference (verb inflection production, verb inflection selection, and adverb selection) and five neuropsychological tests (verbal and non-verbal working memory, inhibition, flexibility, and temporality). Quantitative and qualitative analyses were conducted. Outcomes & results Participants with fluent and non-fluent aphasia had worse performances than controls on the three time-reference tasks. The performance of the participants with fluent and non-fluent aphasia was quantitatively similar but qualitatively different on the verb inflection production task (i.e. different error types). A main task effect was also found: the verb inflection production task was the only one to show worse performances in the past than in the present and future. Regarding cognitive predictors, verbal working memory and temporality were linked to the three tasks assessing time reference. In contrast, non-verbal working memory was associated only with the two selection tasks, possibly related to the mental timeline. Finally, task analysis suggested a pre-phonological (encoding of diacritic features deficit) rather than a morpho-phonological origin. Conclusions Our study is the first to replicate time reference deficit in French speakers with aphasia. It suggests that the type of task might influence the performance profiles observed and help to shed light on the origin of the difficulties. Cognitive functions that have rarely been investigated before may also influence performance. These results have important clinical implications by questioning the tasks used to assess time reference. They also underline the importance of identifying the origin of difficulties in proposing targeted treatment.

Impact of dengue fever on depression, anxiety, and stress symptoms in Esmeraldas Province, Ecuador: a prospective cohort study

BackgroundPhysical symptoms of dengue have been documented extensively, but knowledge gaps on dengue-associated mental health hazards remain. We investigated the frequency of psychiatric symptoms (depression, anxiety, and stress) and neurocognitive performance during the first year after a dengue episode.MethodsUsing DASS-21 scores at 3, 6, and 12 months, we assessed depression, anxiety, and stress in anti-dengue IgM-positive adults and matched controls during the 2021 dengue season in Esmeraldas Province, Ecuador. Patients with DASS-21 scores ≤ 4 were considered normal; those with scores of 5–7, 8–10, and ≥ 11 indicated mild, moderate, and severe depression, respectively; cutoff scores for anxiety and stress were ≥ 5 and ≥ 9, respectively. We also assessed ‘delayed matching to sample’ (DMS) and ‘spatial working memory’ (SWM) using the Cambridge Neuropsychological Test Automated Battery.ResultsWe enrolled 102 cases and 78 controls. At 3 months, 90 cases and 70 controls were available for follow-up, among these 40/90 (44.4%) cases and 12/70 (17.1%) controls had DASS-21 scores ≥ 5 (RR 2.7, 95% CI [1.5–4.7]). Dengue remained a predictor for depression after adjusting for age, sex, and COVID-19 status. We observed no difference in anxiety between the groups, but stress scores increased at month 3 (RR 1.87, 95% CI [1.01–3.4]). DASS-21 scores normalized during follow-up. DMS and SWM did not differ between groups at 3 and 6 months. At month 12, cases had lower SWM than controls did (p value < 0.001).ConclusionsCare providers should be aware of dengue-associated mood disorders and facilitate timely referral to mental health services. Future longitudinal studies are warranted to validate our observations regarding the impact of dengue on mental health and neurocognitive status in affected patients.

Characteristics of locus coeruleus functional connectivity network in patients with comorbid migraine and insomnia

BackgroundMigraine and insomnia are prevalent conditions that often co-occur, each exacerbating the other and substantially impacting the quality of life. The locus coeruleus (LC), a brainstem region responsible for norepinephrine synthesis, participates in pain modulation, sleep/wake cycles, and emotional regulation, rendering it a potential nexus in the comorbidity of migraine and insomnia. Disruptions in the LC-noradrenergic system have been hypothesized to contribute to the comorbidities of migraine and insomnia, although neuroimaging evidence in humans remains scarce. In this study, we aimed to investigate the intrinsic functional connectivity (FC) network of the LC in patients with comorbid migraine and subjective chronic insomnia and patients with migraine with no insomnia (MnI) using resting-state functional magnetic resonance imaging (rs-fMRI) and seed-based FC analyses.MethodsIn this cross-sectional study, 30 patients with comorbid migraine and chronic insomnia (MI), 30 patients with MnI, and 30 healthy controls (HCs) were enrolled. Participants underwent neuropsychological testing and rs-fMRI. The LC-FC network was constructed using seed-based voxel-wise FC analysis. To identify group differences in LC-FC networks, voxel-wise covariance analysis was conducted with sex and age as covariates. Subsequently, a partial correlation analysis was conducted to probe the clinical relevance of aberrant LC-FC in patients with MI and MnI.ResultsExcept for the insomnia score, no other significant difference was detected in demographic characteristics and behavioral performance between the MI and MnI groups. Compared with HCs, patients with MI exhibited altered LC-FC in several brain regions, including the dorsomedial prefrontal cortex (DMPFC), anterior cerebellum, dorsolateral prefrontal cortex (DLPFC), thalamus, and parahippocampal gyrus (PHG). Lower FC between the LC and DLPFC was associated with greater insomnia severity, whereas higher FC between the LC and DMPFC was linked to longer migraine attack duration in the MI group.ConclusionOur findings reveal the presence of aberrant LC-FC networks in patients with MI, providing neuroimaging evidence of the interplay between these conditions. The identified LC-FC alterations may serve as potential targets for therapeutic interventions and highlight the importance of considering the LC-noradrenergic system in the management of MI.

Further validation of the association between MAPT haplotype-tagging polymorphisms and Alzheimer's disease: neuropsychological tests, cerebrospinal fluid biomarkers, and APOE genotype.

Genetic studies have shown that variants in the microtubule-associated protein tau (MAPT) gene, which encodes tau protein, can increase the risk for Alzheimer's disease (AD). Additionally, two haplotypes of the MAPT gene (H1 and H2) are associated with various neurodegenerative disorders, including AD. This study aimed to test the association of MAPT haplotypes (H1 and H2) and MAPT haplotype-tagging polymorphisms (rs1467967, rs242557, rs3785883, rs2471738, del-In9, rs7521) with AD. The study included 964 individuals: 113 with AD, 53 with mild cognitive impairment (MCI), 54 with other dementias, and 744 healthy controls. The results showed that individuals carrying the A allele in the MAPT rs1467967 polymorphism, the GG genotype in the MAPT rs7521 polymorphism, and the G allele in the MAPT rs242557 polymorphism had worse performance on various neuropsychological tests. Carriers of the C allele in MAPT rs2471738 polymorphism and CC homozygotes also showed worse performance on neuropsychological tests and pathological levels of several cerebrospinal fluid (CSF) biomarkers. However, T allele carriers in the MAPT rs2471738 polymorphism were more represented among patients with dementia and apolipoprotein E (APOE) ɛ4 carriers. Carriers of the H2 MAPT haplotype had worse performance on various neuropsychological tests, consistent with our previous study, which associated the H2 MAPT haplotype with pathological levels of CSF AD biomarkers. Regarding the MAPT rs3785883 polymorphism, further research is needed since both the AA and GG genotypes were associated with pathological levels of CSF and plasma AD biomarkers. In conclusion, further genetic studies are needed to elucidate the role of MAPT haplotypes and MAPT haplotype-tagging polymorphisms in the development of AD.

TMS and tDCS as potential tools for the treatment of cognitive deficits in Parkinson's disease: a meta-analysis.

Cognitive deficits are common nonmotor symptoms in Parkinson's disease (PD). Non-Invasive Brain Stimulation (NIBS) could be a potential aid to prevent or delay dementia progression in this clinical population. However, previous studies reported controversial results concerning their efficacy on cognitive symptoms of PD. Hence, the present meta-analysis aims to systematically examine the effects of NIBS as possible treatments for PD cognitive impairments. Understanding NIBS' impact on these symptoms may be of outstanding importance to implement new therapeutic strategies and improve the patients' quality of life. EMBASE, Scopus, and PubMed databases were systematically searched for consecutive studies published from 2000 to March 2023 describing Randomized Controlled Trials studies evaluating the effect of NIBS on PD cognitive symptoms. From the included studies, data concerning neuropsychological tests were extracted and grouped into six cognitive domains, separately analyzed. Hedge's method was computed as the effect size measure of the extracted data; heterogeneity among studies and publication bias were also assessed. The Cochrane's RoB2 tool was used to evaluate the risk of bias for each of the included studies. After database searching and screening of texts, sixteen studies met the inclusion criteria. No significant results emerged from any investigated cognitive domain when comparing NIBS and sham treatments. Several factors may have contributed to the lack of effects; among these, methodological choices, the small sample of studies, the high heterogeneity of data and stimulation protocols pose the need for more controlled studies to highlight the potentiality of NIBS as a future treatment for PD cognitive impairments.

Reversibility of cognitive worsening observed with BACE inhibitor umibecestat in the Alzheimer's Prevention Initiative (API) Generation Studies.

The Alzheimer's Prevention Initiative (API) Generation Studies evaluated the BACE inhibitor umibecestat for Alzheimer's disease (AD) prevention. The studies were terminated early, and the reversibility of umibecestat's side effects was assessed. Cognitively unimpaired 60- to 75-year-old apolipoprotein E (APOE)ε4 homozygotes and heterozygotes (the latter with elevated brain amyloid deposition) (n=1556) received umibecestat (50 or 15mg daily) or placebo for 7 months on average and were followed for a median (interquartile range) of 4 (3 to 6) months after washout. Compared to placebo, umibecestat-treated participants had small, non-progressive, but statistically significant decline in performance on certain cognitive batteries including Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and API Preclinical Composite Cognitive test, but not Clinical Dementia Rating-Sum of Boxes. RBANS differences were no longer significant at the end of follow-up. In people at genetic risk for AD, high-dose beta-site amyloid precursor protein cleaving enzyme (BACE) inhibition was associated with early mild cognitive worsening, which reversed shortly after washout, suggesting a symptomatic side effect not associated with neurodegeneration. Fully anonymized data, images, and samples are available upon request for further research on BACE inhibition. This is the first trial with blinded assessment of reversibility of BACE inhibitor side effects. Umibecestat was tested in cognitively unimpaired persons at genetic risk for AD. Umibecestat led to early mild cognitive decline that reversed shortly after washout. This suggests a potentially manageable effect not associated with neurodegeneration. Further research may determine the future of BACE inhibition in AD prevention.

European cross-cultural neuropsychological test battery (CNTB) for the assessment of cognitive impairment in multiple sclerosis: Cognitive phenotyping and classification supported by machine learning techniques

BackgroundThe European Cross-Cultural Neuropsychological Test Battery (CNTB) has been proposed as a comprehensive battery for cognitive assessment, reducing the potential impact of cultural variables. In this validation study, we aimed to evaluate the diagnostic capacity of CNTB for the assessment of participants with multiple sclerosis (pwMS) compared to the Neuronorma battery (NN) according to the International Classification of Cognitive Disorders in MS criteria, and to develop machine learning (ML) algorithms to improve the diagnostic capacity of CNTB and to select the most relevant tests. MethodsSixty pwMS and 60 healthy controls (HC) with no differences in sex, age, or years of education were enrolled. All participants completed the CNTB and pwMS were also examined with NN, depression, and fatigue scales. Impaired domains and cognitive phenotypes were defined following ICCoDiMS based on CNTB scores and compared to NN, according to -1SD and -1.5SD cutoff scores. To select the most relevant tests, random forest (RF) was performed for different binary classifications. ResultsPwMS showed a lower performance compared to HC with medium-large effect sizes, in episodic memory, executive function, attention, and processing speed, in accordance with their characteristic cognitive profile. There were no differences in impaired domains or cognitive phenotypes between CNTB and NN, highlighting the role of episodic memory, executive function, attention, and processing speed tests. The most relevant tests identified by RF were consistent with inter-group comparisons and allowed a better classification than SD cutoff scores. ConclusionCNTB is a valid test for cognitive diagnosis in pwMS, including key tests for the most frequently impaired cognitive domains in MS. The use of ML techniques may also be useful to improve diagnosis, especially in some tests with lower sensitivity.

Clinical application of sparse canonical correlation analysis to detect genetic associations with cortical thickness in Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by cerebral cortex atrophy. In this study, we used sparse canonical correlation analysis (SCCA) to identify associations between single nucleotide polymorphisms (SNPs) and cortical thickness in the Korean population. We also investigated the role of the SNPs in neurological outcomes, including neurodegeneration and cognitive dysfunction. We recruited 1125 Korean participants who underwent neuropsychological testing, brain magnetic resonance imaging, positron emission tomography, and microarray genotyping. We performed group-wise SCCA in Aβ negative (-) and Aβ positive (+) groups. In addition, we performed mediation, expression quantitative trait loci, and pathway analyses to determine the functional role of the SNPs. We identified SNPs related to cortical thickness using SCCA in Aβ negative and positive groups and identified SNPs that improve the prediction performance of cognitive impairments. Among them, rs9270580 was associated with cortical thickness by mediating Aβ uptake, and three SNPs (rs2271920, rs6859, rs9270580) were associated with the regulation of CHRNA2, NECTIN2, and HLA genes. Our findings suggest that SNPs potentially contribute to cortical thickness in AD, which in turn leads to worse clinical outcomes. Our findings contribute to the understanding of the genetic architecture underlying cortical atrophy and its relationship with AD.

A new neuropsychological tool for simultaneous reading and executive functions assessment: initial psychometric properties.

The development of reading and complex executive functions is fundamental for achieving social, academic, and professional success. So far, there is no single neuropsychological instrument that comprehensively assesses the domains of inhibitory control, cognitive flexibility, working memory, and reading comprehension. To assess executive functions related to reading, the "Assessment of Reading and Executive Functions" (AREF) was developed. In this study, we show initial evidence of validity and reliability for four subtests - Graphophonological-Semantic Flexibility, Inhibitory Control, Flexibility, and Working Memory. A total of 93 students from 4th to 9th grade, aged 8-14, in public (n = 61) and private (n = 32) schools were evaluated. Tasks from the AREF instrument, as well as measures of reading comprehension, inhibitory control, cognitive flexibility, working memory, and intelligence, were administered. Correlations between AREF scores and the other measures were performed to assess external construct validity. Performance differences between school groups on AREF subtests were analyzed using ANOVA, t-test, and Mann-Whitney tests, and the internal consistency of the instrument's tasks was evaluated using Cronbach's alpha coefficient. The scores of the AREF subtests demonstrated significant positive correlations with reading measures (ranging from 0.339 to 0.367) and executive functions (ranging from 0.209 to 0.396). Significant differences were found in the performance of some AREF tasks when comparing individuals from public and private schools, as well as between 4th and 5th graders compared to students in higher grades. The internal consistency of the tasks was low for Graphophonological-Semantic Flexibility (Cronbach's α = 0.566), moderate for Inhibitory Control and Flexibility (Cronbach's α = 0.768), and high for Working Memory (Cronbach's α = 0.881). The results provide initial evidence of construct validity and reliability for the AREF subtests. It is expected that this new neuropsychological test will contribute to the assessment of reading skills and executive functions, assisting in guiding clinical and educational interventions for individuals with and without neurodevelopmental disorders.

Associative Learning in Subclinical Hypothyroidism at Different Ranges of Thyroid Stimulating Hormone: A Cambridge Neuropsychological Test Automated Battery (CANTAB) Study of Visual Paired Association Learning Task.

Associative learning deficits are constantly found in subclinical hypothyroidism (SCH). Despite achieving normal thyroid stimulating hormone (TSH) levels, a considerable number of patients undergoing levothyroxine (LT-4) treatment frequently complain about memory retrieval. The Paired Association Learning (PAL) task involves computerised testing on the CANTAB- Cambridge Neuropsychological Test Automated Battery, also considered a screening tool for Alzheimer's disease (AD). This study aimed to investigate the impact of different levels of TSH on visual associative learning in SCH and determine if these impairments were reversed with LT-4. A total of 134 participants were included in this cross-sectional study. Group 1: 35 healthy controls; patients with SCH (Group 2: 33 newly identified cases; Group 3: 32 patients on LT-4 with elevated TSH; Group 4: 34 euthyroid but on LT-4). A thyroid profile and a neuropsychological clinical assessment were done. The visual PAL task was performed on CANTAB. PAL was significantly impaired (p = <0.05) in all 3 patient groups as compared to Group 1. The PAL total errors (adjusted) scores were significantly higher in Groups 2 and 3, indicating that associative learning is definitely impaired in SCH, reaching levels previously seen in patients with AD. Our findings encourage screening for visual associative learning or memory retrieval in patients with SCH. The study present has established a more reasonable threshold of TSH 2.5mIU/L to encourage examination of associative learning and the initiation of LT-4 in SCH. Poor PAL task performance in patients with SCH may have significant implications in clinical settings for suspecting AD.

Screening for early Alzheimer's disease: enhancing diagnosis with linguistic features and biomarkers.

Research has shown that speech analysis demonstrates sensitivity in detecting early Alzheimer's disease (AD), but the relation between linguistic features and cognitive tests or biomarkers remains unclear. This study aimed to investigate how linguistic features help identify cognitive impairments in patients in the early stages of AD. This study analyzed connected speech from 80 participants and categorized the participants into early-AD and normal control (NC) groups. The participants underwent amyloid-β positron emission tomography scans, brain magnetic resonance imaging, and comprehensive neuropsychological testing. Participants' speech data from a picture description task were examined. A total of 15 linguistic features were analyzed to classify groups and predict cognitive performance. We found notable linguistic differences between the early-AD and NC groups in lexical diversity, syntactic complexity, and language disfluency. Using machine learning classifiers (SVM, KNN, and RF), we achieved up to 88% accuracy in distinguishing early-AD patients from normal controls, with mean length of utterance (MLU) and long pauses ratio (LPR) serving as core linguistic indicators. Moreover, the integration of linguistic indicators with biomarkers significantly improved predictive accuracy for AD. Regression analysis also highlighted crucial linguistic features, such as MLU, LPR, Type-to-Token ratio (TTR), and passive construction ratio (PCR), which were sensitive to changes in cognitive function. Findings support the efficacy of linguistic analysis as a screening tool for the early detection of AD and the assessment of subtle cognitive decline. Integrating linguistic features with biomarkers significantly improved diagnostic accuracy.

Monitoring cognitive functions during deep brain stimulation (DBS) interventions by Real Time Neuropsychological Testing (DBS-RTNT).

We monitored cognition during Deep brain stimulation (DBS) surgery, when the electrode is positioned at the target subthalamic nucleus (i.e., STN motor area) in 14 PD patients. We present the Real Time Neuropsychological Testing (DBS-RTNT) protocol, our preliminary experience, along with patients' performance comparing intraoperative results with baseline data. Compared to baseline, DBS-RTNT in the target area showed a significantly decreased performance at some tasks belonging to memory and executive functions domains. Significantly decreased short-term memory and sequencing scores were found for right (vs. left) hemisphere DBS-RTNT. PD patients' performance should be monitored during DBS surgery as STN-DBS may induce changes in cognitive performance. These preliminary data contribute to improve, during DBS-surgery the anatomo-functional topography of the STN in order to identify, in future approaches, in the individual patient the best site producing positive motor effects, without causing negative cognitive and/or emotional changes. Medications (i.e., the patients underwent surgery in a levodopa off state) could in principle have influenced our results therefore future studies are needed to address possible confounding effect of levodopa use.

Cognitive performance from childhood to old age and intergenerational correlations in the multigenerational Young Finns Study

Abstract Background Cognitive performance changes during the lifespan, but the information is gathered from studies on separate age cohorts. Computerized neurocognitive testing enables efficient and similar assessments for all ages. We investigated (i) the effect of age at different stages of life and (ii) intergenerational correlations across cognitive domains in the multigenerational Young Finns Study. Methods Participants in three familiarly related generations (n = 6486, aged 7–92 years) performed the Cambridge Neuropsychological Test Automated Battery (CANTAB). Overall cognitive performance and domains representing learning and memory, working memory, information processing, and reaction time were extracted by common principal component analysis from the cognitive data with several age groups. Linear models were used to study the association of age, sex, and education with overall cognitive performance and in the cognitive domains. Age-adjusted intergenerational correlations were calculated. Results Learning and memory peaked earlier during the lifespan compared to working memory and information processing, and the rate of decline toward old age differed by domain. Weak intergenerational correlations existed between two consecutive generations but were nonsignificant between grandparents and grandchildren. There was no systematic sex-specific transmission in any cognitive domain. Conclusion This study describes the natural course of cognitive performance across the lifespan and proves that cognitive performance changes differently across cognitive domains with weak intergenerational transmission.

Modern Approaches to Diagnosing Cognitive Impairments in Patients with Multiple Sclerosis

Multiple sclerosis in patients can cause not only motor, sensory, cerebellar and autonomic dysfunctions, but also cognitive and psychoemotional disorders such as difficulty with learning and recalling information, problems focusing on tasks and maintaining attention, slowed ability to process information, depression, anxiety. Cognitive impairment can appear at any stage of the disease and can be observed in more than half of patients. &amp;nbsp;Patients with multiple sclerosis may not fully recognize or underestimate their complaints of psycho-emotional disturbances, fatigue or pain. &amp;nbsp;For this reason, doctors should rely on the results of neuropsychological tests. Like all symptoms of multiple sclerosis, cognitive impairment is highly variable and significantly affects patients' work habits, social interactions and quality of life. Therefore, the assessment of cognitive functions in patients with multiple sclerosis is of undoubted interest.

Clinical utility of brief screening measures during neuropsychological consultation for pediatric onset multiple sclerosis.

Pediatric-onset multiple sclerosis (POMS) accounts for approximately 2 to 5% of all individuals with MS and is associated with an increased risk for cognitive impairment. In recent years, neuropsychological screening questionnaires have been increasingly utilized for pediatric populations in multidisciplinary settings. This study examines the clinical utility of the Colorado Learning Difficulties Questionnaire (CLDQ) and Pediatric Perceived Cognitive Functioning (Peds PCF) screening measures for identifying cognitive impairment in persons with POMS during a target neuropsychological evaluation. Retrospective data was gathered from electronic medical records at a single pediatric hospital. Forty-nine participants were included (69% female; 43% Hispanic/Latinx; mean age = 16.1 years old, range = 9.9 to 20.6 years old). Correlation analyses demonstrated strong interrelatedness between caregiver ratings on screening measures and performance on traditional neuropsychological measures. Effect sizes were medium across comparisons (CLDQ: Spearman's rho = -.321 to -.563; PedsPCF: Spearman's rho = .308 to .444). Exploratory cut-points using receiver operating characteristic analysis and Youden indices are also discussed. Comparison of scores across caregiver rating questionnaires and on a targeted neuropsychological battery suggests that the screening surveys alone may not be sensitive enough to identify children with cognitive impairments, but ratings may provide qualitatively meaningful information along with neuropsychological testing. This study illustrates how pediatric neuropsychologists can leverage screening tools to focus consultative interviews and effectively triage referrals for evaluation within an academic medical setting.

Should We Work Smarter or Harder for Our Health? A Comparison of Intensity and Domain-Based Time-Use Compositions and Their Associations With Cognitive and Cardiometabolic Health.

Each day is made up of a composition of "time-use behaviors." These can be classified by their intensity (eg, light or moderate-vigorous physical activity [PA]) or domain (eg, chores, socializing). Intensity-based time-use behaviors are linked with cognitive function and cardiometabolic health in older adults, but it is unknown whether these relationships differ depending on the domain (or type/context) of behavior. This study included 397 older adults (65.5 ± 3.0 years, 69% female, 16.0 ± 3.0 years education) from Adelaide and Newcastle, Australia. Time-use behaviors were recorded using the Multimedia Activity Recall for Children and Adults, cognitive function was measured using the Addenbrooke's Cognitive Examination III and Cambridge Neuropsychological Test Automated Battery, and systolic and diastolic blood pressure, total cholesterol, and waist-hip ratio were also recorded. Two 24-hour time-use compositions were derived from each participant's Multimedia Activity Recall for Children and Adults, including a 4-part intensity composition (sleep, sedentary behavior, light, and moderate-vigorous PA) and an 8-part domain composition (Sleep, Self-Care, Chores, Screen Time, Quiet Time, Household Administration, Sport/Exercise, and Social). Linear regressions found significant associations between the domain composition and both Addenbrooke's Cognitive Examination III (p = .010) and waist-hip ratio (p = .009), and between the intensity composition and waist-hip ratio (p = .025). Isotemporal substitution modeling demonstrated that the domains of sedentary behaviors and PA impacted their associations with Addenbrooke's Cognitive Examination III, while any PA appeared beneficial for waist-hip ratio. Findings suggest the domain of behavior should be considered when aiming to support cognitive function, whereas, for cardiometabolic health, it appears sufficient to promote any type of PA.