Deep brain stimulation (DBS) of the subthalamic nucleus (STN) improves motor outcomes in Parkinson’s disease (PD) but may have adverse long-term effects on specific cognitive domains. The aim of this study was to investigate the association between total electrical energy (TEED) delivered by DBS and postoperative changes in verbal fluency.

Seventeen PD patients undergoing bilateral STN-DBS were assessed with the Alternate Verbal Fluency Battery (AVFB), which includes phonemic (PVF), semantic (SVF), and alternate verbal fluency (AVF) tests, before surgery (T0) and after 6 (T1) and 12 months (T2). Bilateral TEED and average TEEDM were recorded at T1 and T2. For each AVFB measurement, changes from T0 to T1 (Δ-01) and from T0 to T2 (Δ-02) were calculated.

At T1, PVF (p = 0.007) and SVF scores (p = 0.003) decreased significantly. TEED measures at T1 and T2 were unrelated to Δ-01 and Δ-02 scores, respectively. However, an inverse, marginally significant association was detected between the TEEDM and Δ-01 scores for the AVF (p = 0.041, against an αadjusted = 0.025).

In conclusion, the present reports provide preliminary evidence that TEED may not be responsible or only slightly responsible for the decline in VF performance after STN-DBS in PD.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease, in which cognitive dysfunction is common, but poorly understood. This study aims to characterize the prevalence and patterns of cognitive dysfunction in SLE.

SLE patients (n = 95) and demographically matched healthy controls (n = 48) underwent cross-sectional cognitive testing using the 1-hr conventional neuropsychological test battery recommended by the American College of Rheumatology for use in SLE. We used standard deviations (SD) from the healthy control group to define impairment. For each cognitive test we compared SLE and control groups using independent samples t-tests (or alternatives when needed). We performed cluster analysis using a machine learning algorithm to look for patterns of cognitive dysfunction.

The SLE group performed significantly worse than healthy controls on every cognitive test. The largest differences were in the domains of verbal fluency, working memory and attention, while fine motor and psychomotor speed were the least affected domains. As expected, the prevalence of cognitive dysfunction varied depending on the SD cut-off used, with 49% of participants being >1.5 SD below the healthy control mean in at least two cognitive domains. Heat mapping showed variability in the pattern of dysfunction between individual patients and cluster analysis confirmed the presence of two clusters of patients, which were those significantly impaired versus those having preserved cognition.

Cognitive dysfunction is common in SLE but markedly heterogeneous across both cognitive domains and across the SLE group. Cluster analysis supports the use of a binary definition of cognitive dysfunction in SLE.

There is limited research on the prognostic value of language tasks regarding mild cognitive impairment (MCI) and Alzheimer’s clinical syndrome (ACS) development in the cognitively normal (CN) elderly, as well as MCI to ACS conversion.

Participants were drawn from the population-based Hellenic Longitudinal Investigation of Aging and Diet (HELIAD) cohort. Language performance was evaluated via verbal fluency [semantic (SVF) and phonemic (PVF)], confrontation naming [Boston Naming Test short form (BNTsf)], verbal comprehension, and repetition tasks. An additional language index was estimated using both verbal fluency tasks: SVF-PVF discrepancy. Cox proportional hazards analyses adjusted for important sociodemographic parameters (age, sex, education, main occupation, and socioeconomic status) and global cognitive status [Mini Mental State Examination score (MMSE)] were performed.

A total of 959 CN and 118 MCI older (>64 years) individuals had follow-up investigations after a mean of ∼3 years. Regarding the CN group, each standard deviation increase in the composite language score reduced the risk of ACS and MCI by 49% (8–72%) and 32% (8–50%), respectively; better SVF and BNTsf performance were also independently associated with reduced risk of ACS and MCI. On the other hand, using the smaller MCI participant set, no language measurement was related to the risk of MCI to ACS conversion.

Impaired language performance is associated with elevated risk of ACS and MCI development. Better SVF and BNTsf performance are associated with reduced risk of ACS and MCI in CN individuals, independent of age, sex, education, main occupation, socioeconomic status, and MMSE scores at baseline.

Identifying more homogenous subtypes of patients with obsessive–compulsive disorder (OCD) using biological evidence is critical for understanding complexities of the disorder in this heterogeneous population. Age of onset serves as a useful subtyping scheme for distinguishing OCD into two subgroups that aligns with neurodevelopmental perspectives. The underlying neurobiological markers for these distinct neurodevelopmental differences can be identified by investigating gyrification changes to establish biological evidence-based homogeneous subtypes.

We compared whole-brain cortical gyrification in 84 patients with early-onset OCD, 84 patients with late-onset OCD, and 152 healthy controls (HCs) to identify potential markers for early neurodevelopmental deficits using the local gyrification index (lGI). Then, the relationships between lGI in clusters showing significant differences and performance in visuospatial memory and verbal fluency, which are considered trait-related neurocognitive impairments in OCD, were further examined in early-onset OCD patients.

The early-onset OCD patients exhibited significantly greater gyrification than those with late-onset OCD patients and HCs in frontoparietal and cingulate regions, including the bilateral precentral, postcentral, precuneus, paracentral, posterior cingulate, superior frontal, and caudal anterior cingulate gyri. Moreover, impaired neurocognitive functions in early-onset OCD patients were correlated with increased gyrification.

Our findings provide a neurobiological marker to distinguish the OCD population into more neurodevelopmentally homogeneous subtypes, which may contribute to the understanding of the neurodevelopmental underpinnings of an etiology in early-onset OCD consistent with the accumulated phenotypic evidence of greater neurodevelopmental deficits in early-onset OCD than in late-onset OCD.

Most recordings of verbal fluency tasks include substantial amounts of task-irrelevant content that could provide clinically valuable information for the detection of mild cognitive impairment (MCI). We developed a method for the analysis of verbal fluency, focusing not on the task-relevant words but on the silent segments, the hesitations, and the irrelevant utterances found in the voice recordings.

Phonemic (‘k’, ‘t’, ‘a’) and semantic (animals, food items, actions) verbal fluency data were collected from healthy control (HC; n = 25; M age = 67.32) and MCI (n = 25; M age = 71.72) participants. After manual annotation of the voice samples, 10 temporal parameters were computed based on the silent and the task-irrelevant segments. Traditional fluency measures, based on word count (correct words, errors, repetitions) were also employed in order to compare the outcome of the two methods.

Two silence-based parameters (the number of silent pauses and the average length of silent pauses) and the average word transition time differed significantly between the two groups in the case of all three semantic fluency tasks. Subsequent receiver operating characteristic (ROC) analysis showed that these three temporal parameters had classification abilities similar to the traditional measure of counting correct words.

In our approach for verbal fluency analysis, silence-related parameters displayed classification ability similar to the most widely used traditional fluency measure. Based on these results, an automated tool using voiced-unvoiced segmentation may be developed enabling swift and cost-effective verbal fluency-based MCI screening.

According to the literature, cognition may be more preserved in late-onset schizophrenia (LOS) compared to early-onset schizophrenia (EOS), but data are limited.

To compare performance on cognitive tests in LOS and EOS.

LOS patients (n=14, mean age 58.1±8.2, 13 females, illness duration 1.07±1.5 years) and age-comparable controls (n=17, mean age 55.3±7.8, 12 females), EOS patients (n=25, mean age 20.7±3.9, 25 males, illness duration 0.75±0.62 years) and age-comparable controls (n=15, mean age 22.9±2.3, 15 males) underwent the Brief Assessment of Cognition in Schizophrenia (BACS) comprised of six subtests: Verbal Memory, Digit Sequencing, Verbal Fluency, Token Motor Task, Symbol Coding, and Tower of London. The Mann-Whitney U test with Bonferroni correction for multiple comparisons was applied (p <.05/8, i.e. p <.006).

Compared to LOS, EOS patients had lower score on Verbal Fluency (VF): U=78, p=.004; mean T-scores are 43.5±9.5 and 33.6±12.6 for LOS and EOS, respectively. Additionally, we compared VF performance in each clinical group with age-comparable controls and revealed significantly lower performance in both LOS (U=37.5, p=.001) and EOS (U=56.5, p=.000).

Performance on VF is deteriorated in clinical groups, but may be more intact in LOS compared to EOS. This result is of particular interest because low performance on VF is considered as a cognitive endophenotype of schizophrenia. Performance on VF requires preserved executive functions, language, and processing speed. Our results are in line with the idea that LOS and EOS may be different subtypes of schizophrenia. Limitation of this study is that the clinical groups are not sex-matched.

Cognitive reserve, or the extent to which brain can cope with damage, is associated with extended healthy aging and with slow age-related cognitive decline, as well as a lower number of dementia-associated clinical cognitive signs. Thus, understanding how cognitive reserve might affect different cognitive abilities is important. This study aims at investigating the associations between cognitive reserve and linguistic abilities in a group of Spanish older adults with Alzheimer’s disease.

The sample comprised 25 older adults with a clinical diagnostic of AD with mild to moderate dementia, and 25 controls who were residing in care homes from the province of Granada and with ages between 52 and 92 years old (M= 83.40, SD= 7.18). The Mini Mental State Examination (MMSE), the Global Deterioration Scale, the Cognitive Reserve Questionnaire, and the Short Form of the Boston Naming Test for Individuals with Aphasia were used to collect data. Correlations and regression analysis were performed.

Results showed that cognitive reserve positively and significantly correlated with naming and with phonological fluency but not with semantic fluency word or sentence repetitions or with the global cognitive functioning and the severity of cognitive impairment. The regression analysis showed that cognitive reserve explained 24.7% of the variance in spontaneous naming (F=3.764, p=.039). On the contrary cognitive reserve did not predict verbal fluency.

People with higher cognitive reserve score obtained higher scores in phonological fluency and in spontaneous naming and in naming after a semantic clue. Thus, cognitive reserve is linked with better linguistic abilities in AD patients and therefore it should be considered when designing speech therapy interventions for these patients.

Several neurodegenerative conditions negatively impact linguistics skills. Despite this, many studies carried out with these kinds of patients either only include participants with initial stages of cognitive impairment either do not contemplate linguistic skills, or they do assess language in clinical or experimental settings. Due to it this study aims at investigating verbal fluency and spontaneous conversation abilities in a group of institutionalized Spanish older adults with and without cognitive impairment.

The sample comprised 50 older adults who were residing in care homes from the province of Granada and with ages between 52 and 92 years old (M= 83.40, SD= 7.18). The Mini Mental State Examination (MMSE), the Global Deterioration Scale, and the Short Form of the Boston Naming Test for Individuals with Aphasia were used to collect data. In order to analyze the differences in verbal fluency and in spontaneous conversation between participants ANOVA analysis were performed.

Results showed that people without cognitive impairment or with initial stages of Parkinson’s’ disease showed a higher complexity in their spontaneous conversation and obtained higher scores in verbal fluency when compared with patients with Alzheimer’s disease, and with people with cognitive impairment but without a clinical diagnose. No significant differences were found between participants in word or sentence repetitions tasks.

Language impairment in people with cognitive impairment has dramatic consequences, affecting people’s communication and social interaction, their identity and autonomy thus language skills should be assessed in institutionalized older adults with cognitive impairment and interventions should be designed to maintain their linguistic abilities.

To test if specific correlations exist between cognitive measures and psychotic dimensions in schizophrenic subjects and if similar correlations, between cognition and schizotypal dimensions, are present in non-psychotic subjects.

We administered the same battery of cognitive tests (Source Monitoring, Verbal Fluency [VF] and Stroop tests) to schizophrenic subjects (N = 54), their first-degree relatives (N = 37) and controls (N = 41). Scores of negative, positive and disorganisation dimensions were derived from the Signs and Symptoms of Psychotic Illness scale in schizophrenic subjects, and from the Schizotypal Personality Questionnaire in relatives and controls.

In schizophrenic subjects, as hypothesised, the negative dimension correlated with performance on VF and disorganisation with performance in the Stroop test. The positive dimension did not correlate with any cognitive measure.

With only one exception, the significant correlations observed in non-psychotic subjects did not match correlations seen in schizophrenic subjects. In non-psychotic subjects greater disorganisation was associated with more clustered words in VF suggesting that excessive automatic spreading of activation in semantic networks could underlie this dimension.

As a whole, data lent partial support to our hypothesis of specific cognitive–clinical correlations in schizophrenic subjects but did not support the existence of similar correlations in non-psychotic subjects.