Rey-Osterrieth Complex Figure Research Articles

A Comparative Analysis of Neurocognitive Function in Community- and Hospital-Based Patients With Schizophrenia.

The study compared differences in various neurocognitive characteristics across treatment modalities among schizophrenia patients recruited in one city between July 2020 and June 2023 who were on regular medication. Of the 151 participants, 113 were included in the analysis. Participants were divided into community-based and hospital-based groups, and their demographics and clinical characteristics, including insight, quality of life, positive and negative symptoms, and personal and social functioning, were examined. In addition, several aspects of cognition were assessed using neurocognitive assessments such as the Trail Making Test (TMT), Stroop test, and Wisconsin Card Sorting Test (WCST). After adjusting for age differences between groups, the final analysis included data from 42 participants in the community-based group and 33 participants in the hospital-based group. Hospital-based group participants completed Stroop-W more rapidly, excelled in Rey-Osterrieth Complex Figure Test recall and recognition, and incurred fewer TMT Part B (TMT-B) and Stroop-C errors. Additionally, they outperformed in WCST total, non-persistent errors, and categories completed. Contrastingly, community-based group participants showed superior outcomes in WCST persistent responses and errors, suggesting specific neurocognitive strengths. We found differences in neurocognitive characteristics between the two groups. These differences were consistent across a range of cognitive domains, including attention, visual discrimination, memory, and executive functioning. Further large-scale study is needed to generalize cognitive characteristics across treatment modalities.

Amyloid deposition and its association with depressive symptoms and cognitive functions in late-life depression: a longitudinal study using amyloid-β PET images and neuropsychological measurements

BackgroundAlthough depression is linked to an increased risk of dementia, the association between late-onset depression (LOD) and amyloid burden remains unclear. This study aimed to determine amyloid deposition in patients with LOD compared to healthy controls (HC) using amyloid-beta (Aβ) positron emission tomography (PET) images and neuropsychological assessments.MethodsForty patients first diagnosed with major depressive disorder after the age of 60 (LOD) and twenty-one healthy volunteers (HC) were enrolled. Depression and anxiety were evaluated using the 17-item Hamilton Depression Scale, Hamilton Anxiety Rating Scale, and Clinical Global Impression Scale. Cognitive function was assessed using the Korean versions of the Mini-Mental Status Examination, Montreal Cognitive Assessment, and Seoul Neuropsychological Screening Battery at baseline and 3-month follow-up. 18F-florbetapir PET images were co-registered with T1-weighted magnetic resonance images.ResultsThere was no significant difference in Aβ deposition between LOD and HC groups. No significant correlation between Aβ burden and depressive symptom severity was found in LOD patients. Higher somatic anxiety was correlated with lower Aβ burden in multiple brain regions, including the left inferior frontal lobe (p = 0.009), right anterior cingulate (p = 0.003), and right superior frontal lobe (p = 0.009). Despite cognitive recovery in areas such as attention (Digit Span Forward, p = 0.026), memory (Auditory Verbal Learning Test Recall Total, p = 0.010; Rey Complex Figure Test Delayed Recall, p = 0.039), and frontal executive function (Contrasting Program, p = 0.033) after three months of antidepressant treatment, cognitive improvement showed no association with amyloid deposition.ConclusionsThese findings suggest distinct mechanisms may underlie amyloid deposition in neurodegenerative changes associated with depression. While amyloid burden in specific brain regions negatively correlated with somatic anxiety, it showed no significant correlation with the severity of depression or overall cognitive function.

Diagnostic Accuracy of Neurocognitive and Executive Functions to Discriminate Women With and Without Fibromyalgia Syndrome: A Secondary Analysis.

Objective: The aim of the current study was to determine the capability of neurocognitive variables and executive functions to differentiate women with and without fibromyalgia syndrome (FMS). Methods: A secondary diagnostic accuracy analysis was conducted. A battery of neurocognitive and executive function tests (the D2 Attention test, the Rey-Osterrieth Complex Figure for visual perception, "Digits D/R/I" tests of the WAIS-IV battery for working memory, the 5-Digit test for mental inhibition, the Symbol Search for processing speed, and the Zoo Test for planning/decision-making) were collected in 129 women with FMS and 111 without FMS. The area under the receiver operating characteristic (ROC) curve, optimal cut-off point, sensitivity, specificity, and positive and negative likelihood ratios (LR) for each variable were calculated. Results: Between-group differences were identified in ROCF_Copy (p = 0.043), ROCF_Recall (p = 0.004), d2_TR (p = 0.019), d2_TA (p = 0.007), d2_TOT (p = 0.005), d2_CON (p = 0.004), d2_C (p = 0.042), Symbol Search (p = 0.008), Decoding _FDT (p = 0.001), Retrieving_FDT (p = 0.001), and Inhibiting_FDT (p = 0.024). The result showed that FDT-based outcomes (Retrieving_FDT: ROC 0.739, sensitivity 85.3%, specificity 48.6%; Decoding_FDT: ROC 0.724, sensitivity 50.4%, specificity 16.2%; Inhibiting_FDT: ROC 0.708, sensitivity 56.6%, specificity 22.5%) were the variables able to differentiate between women with and without FMS. Conclusions: Although women with FMS exhibited deficits in attention, long-term visual memory, processing speed, and mental inhibition when compared with women without FMS, only mental inhibition scores showed moderate diagnostic accuracy to discriminate between women with and without FMS. Future studies investigating these results in clinical settings are needed to identify the clinical relevance of these findings.

Neuropsychological Correlates of Clinical Progression in Subjective Cognitive Decline.

Subjective cognitive decline (SCD) refers to self-reported cognitive decline in individuals with normal performance on standardized cognitive tests. Understanding the factors predicting progression from SCD to mild cognitive impairment (MCI) is crucial, as approximately 14% of SCD cases progress to dementia and about 27% develop MCI over four years. This study aims to identify neuropsychological predictors of progression from SCD to MCI, focusing on cognitive domains assessed through neuropsychological tests. This retrospective study at Seoul National University Bundang Hospital analyzed a cohort of 107 patients diagnosed with SCD through comprehensive assessment. Patients underwent annual neuropsychological testing, including the Digit Span Test, Boston Naming Test, Rey Complex Figure Test, Seoul Verbal Learning Test, and Stroop Test. Annually, these patients underwent neuropsychological tests over a 5-year period; 24 progressed to MCI per NIA-AA criteria. Key predictors of MCI progression included age, ischemic heart disease, and scores from the forward digit span, delayed recall, and Boston naming tests. Lower scores in delayed recall and Boston naming tests significantly correlated with a higher risk of MCI (p < 0.001). These findings suggest a need for targeted management of memory and language functions to monitor disease progression effectively.

Normative data for tests of visuo-spatial, visuo-constructional skills, and visual memory for Spanish-speaking adults in the United States.

The Rey-Osterrieth Complex Figure Test (ROCFT) and the Clock Drawing Test (CDT) are commonly used in clinical practice. The ROCFT measures constructional praxis, visual perception, and visuospatial learning and memory, and the CDT assesses for visuospatial, constructional, and executive difficulties. Several neurological disorders are associated with visuospatial and visuo-constructional impairments, yet reliable normative data accounting for sociodemographic and acculturative variables are scarce for Hispanics living in the U.S. To generate normative data for the ROCFT and CDT in a Spanish-speaking adult population living in the U.S. The sample consisted of 245 cognitively healthy adults recruited from several states in the U.S. Each participant was administered the ROCFT and CDT as part of a larger cognitive battery. The ROCFT and CDT were normed using a Bayesian approach. Age, age2, education, sex, acculturation, and language proficiency were included as predictors in the analyses. ROCFT performance was associated with education and age, particularly as they interacted with Spanish language proficiency and time spent in the U.S. Education was significantly associated with recall abilities and a lower memory recall on the ROCFT. Age was found to vary depending on a person's bilingual abilities. Sex did not emerge as a predictor of performance, and it did not interact significantly with other variables. This is the first study to include acculturation and language proficiency variables in the creation of norms for the assessment of visuo-constructional abilities. This study will have a large impact on the practice of neuropsychology in the U.S.

Distortion errors characterise visuo-constructive performance in Huntington’s disease

Objective: Visuospatial deficits have been extensively studied in Huntington’s disease (HD), particularly in relation to visuomotor integration, with less emphasis on visuo-constructive abilities. Quantitative analyses have demonstrated that individuals with HD perform worse than healthy controls (HC) but similarly to people with Alzheimer’s disease (AD). The aim of the present study was to conduct a qualitative investigation of visuo-constructive abilities in both HD and AD. By employing both simple and complex tasks, we hypothesized that a qualitative analysis of performance would reveal a distinct pattern of errors specific to HD. Methods: Participants for this study were identified retrospectively. The sample included 41 individuals with HD, 25 with AD, and 35 HC. All participants underwent a neuropsychological battery, which included the Constructional Apraxia Test (CAT) and the Rey-Osterrieth Complex Figure (ROCF) test. Results: Our results showed no significant quantitative difference in visuo-constructive performance between the two patient groups. However, distinct qualitative patterns of drawing errors emerged. Simplifications were more frequent in the AD group, while distortions were distinctive errors in the HD group. These qualitative error patterns were consistent across both the CAT and ROCF. Conclusion: Our study emphasises the value of qualitative analysis in interpreting visuo-constructive performance, shifting the focus from “how much” a participant achieves to “how” they perform a neuropsychological task. This qualitative approach is useful to capture the complexity and variability of individual performance, providing deeper insight into the cognitive processes affected by different neurological conditions.

Specific and shared cognitive predictors of drawing and block building in typically developing children.

Spatial construction is a complex ability involving attention, global/local visual processing, mental representation, visuo-motor coordination and, to varying extent, working memory and executive functions, and verbal abilities. In developmental neuropsychology, little attention has been paid to comprehend whether and to what extent the above cognitive processes are involved in two main spatial construction tasks, that is drawing and block building. We used path analysis to test shared and specific effects of verbal and spatial working memory, spatial attention, inhibition, verbal abilities (vocabulary and naming), figure disembedding, mental rotation, and visual-motor coordination, as well as of demographics (sex, age and socio-economic status), on two classical drawing (Rey-Osterrieth Complex Figure; ROCF) and block building (Block design; BD) tasks in a sample of 195 typically developing children (age range: 7-11 years). Figure disembedding and visuo-motor coordination were the only shared predictors of both spatial construction tasks. Moreover, ROCF score was directly related with spatial attention and inhibition, while BD score was directly related with sex, vocabulary, mental rotation and backward spatial working memory. These findings distinguish between abilities involved in spatial construction regardless of the type of task and those specifically related to ROCF or Block Design, thus providing clues relevant to neuropsychological assessment and intervention in children with spatial construction disorders.

Detecting malingered neurocognitive dysfunction: Comparative analysis of freestanding and embedded performance validity tests

Detecting malingered neurocognitive dysfunction is a major issue in forensic context, particularly in legal proceeding/insurance assessment after a traumatic brain injury (TBI), condition frequently associated with persistent cognitive impairments that may potentially be related to malingering. Consequently, research has devoted considerable efforts on developing tools to verify symptoms authenticity. This study compared two freestanding performance validity tests (PVTs) (Amsterdam Short-Term Memory Test—ASTM; Word Completion Memory Test—WCMT) and five embedded PVTs (Rey Complex Figure Test—RCFT—Copy and Recall trials; Reliable Digit Span—RDS; Rey Auditory Verbal Learning Test—RAVLT—Recognition and Total Learning trials) in a sample of 120 participants, including 15 patients with TBI (Mage = 44.40), 52 experimental simulators (Mage = 29.52) and 53 control (Mage = 29.77). Group performance was analyzed to assess tests’ discriminatory power, and Receiver Operating Characteristic (ROC) curves were used to examine tools’ sensitivity and specificity. Results indicated that experimental simulators performance on the ASTM, WCMT, and RAVLT differed significantly from TBI patients and controls. The RDS and RCFT did not discriminate experimental simulators from TBI group. ROC curves analysis reveals that the most accurate tests in this battery for detecting malingering were the ASTM and the RAVLT-Total Learning score. This study offers implications for identifying malingering in medico-legal settings, underscoring the importance of incorporating PVTs into clinical practice.

A - 11 Organizational Strategies and Delayed Recall in Older Adults: Insights from the Rey-Osterrieth Complex Figure Test

Abstract Objective The objective of this study was to investigate the factors that influence older adults’ ability to recall complex figure in the Rey-Osterrieth Complex Figure (ROCF) test. Method 172 participants (50% female; M = 74.64) between the ages of 60 and 100 were recruited through the Israel Interior Ministry. Participants were asked to complete the Rey-Osterrieth Complex Figure Test (ROCF), which involved two tasks: A) participants were first instructed to replicate the complex figure exactly as shown (copy task). Subsequently, they were asked to B) recall and redraw the figure after a 30-minute delay (delayed recall task). The evaluations were conducted at the participants’ homes. The participants were evaluated on three criteria: accuracy, continuation, and the symmetry. To analyze the relationship between participants’ scores on the accuracy, continuation, and symmetry, a linear regression analysis was performed. Results A linear regression model predicting delayed recall score was significant F(3,48) = 9.61, p &amp;lt; 0.001. Among the predictors, continuation (b = 0.75, p = 0.01) and copy scores (b = 0.39, p 0.02) displayed a significant positive relationship with delayed recall score. Conclusion(s) The ROCF test serves as a comprehensive measure of cognitive functions, such as visuospatial memory, executive and organizational abilities, and retrieval. The significant influence of organizational score underscores the important link between planning abilities and declarative memory. This supports previous findings that organizing ROCF into meaningful clusters of units during the copy task improves performance in delayed recall task.

A - 12 Neuropsychological Test Best Fit for Identifying on-the-Road Driving Behaviors in Normal and Abnormal Aging Populations: a Systematic Review

Abstract Objective This systematic review’s purpose is to identify neuropsychological assessments that are accurate at predicting driving behaviors in geriatric populations. The population included normal aging, mild cognitive impairment (MCI), and dementia. Data Selection PubMed and APA PsycNet databases were searched using two separate keyword searches: cognitive evaluation and driving behaviors and aging; neuropsychological test and driving behaviors and aging. The databases were searched March 10, 2024, and again on April 26, 2024. This yielded 278 articles. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was used to identify articles. Articles were excluded if they did not have on-road driving behaviors or simulated driving behaviors, neuropsychological test, if the average participant age was not geriatric, or if it was a non-peer reviewed article. Data Synthesis After following PRISMA selections, eight articles were included, creating a combined sample size of 927 (Mean age = 74.16, SD = 2.38; mean years of education = 14.17, SD = 1.09; female percentage = 40.78). The test deemed most correlated were Neuropsychological Assessment Battery: Driving Scene Test, Clock Drawing, Useful Field of View, Trail making task, Mini-Mental State Exam, verbal and visual memory components from the Wechsler Memory Scale, Rey-Osterrieth Complex Figure, and Maze Navigation Task. Conclusion General cognitive screening tests as well as visuomotor, visual–spatial, visual attention and verbal and non-verbal memory tests highly correlate with real driving behaviors and accurately predict on-the-road driving behaviors. This indicates the cognitive and behavioral complexity of driving. Though these tests accurately predict driving behaviors, their abilities to do so may differ depending on cultural groups.

Clinical correlates of obstructive sleep apnoea in idiopathic normal pressure hydrocephalus.

The pathogenesis of idiopathic normal pressure hydrocephalus (iNPH) remains controversial. Limited studies have indicated a high prevalence of obstructive sleep apnoea (OSA) amongst iNPH patients. The aim was to investigate the clinical correlates of OSA in iNPH patients. In this cross-sectional observational study, consecutive iNPH patients were prospectively enrolled. Evaluations included the iNPH Rating Scale, the Movement Disorder Society Unified Parkinson's Disease Rating Scale part III, the time and number of steps to walk 10 m, the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, a complete neuropsychological evaluation, 3-T brain MRI, full-night video-polysomnography, tap test and cerebrospinal fluid (CSF) neurodegeneration biomarkers. Fifty-one patients were screened, of whom 38 met the inclusion criteria. Amongst the recruited patients, 19/38 (50%) exhibited OSA, with 12/19 (63.2%) presenting moderate to severe disorder. OSA+ iNPH patients required more time (p = 0.02) and more steps (p = 0.04) to complete the 10-m walking test, had lower scores on the gait subitem of the iNPH Rating Scale (p = 0.04) and demonstrated poorer performance on specific neuropsychological tests (Rey Auditory Verbal Learning Test immediate recall, p = 0.03, and Rey-Osterrieth Complex Figure, p = 0.01). Additionally, OSA+ iNPH patients had higher levels of total tau (p = 0.02) and phospho-tau (p = 0.03) in their CSF but no statistically significant differences in beta-amyloid (1-42) levels compared to OSA- iNPH patients. Obstructive sleep apnoea is highly prevalent in iNPH patients, particularly at moderate to severe levels. OSA is associated with worse motor and cognitive performance in iNPH. The CSF neurodegeneration biomarker profile observed in OSA+ iNPH patients may reflect OSA-induced impairment of cerebral fluid dynamics.

Understanding the Associations between Executive Function and Psychological Variables in Fibromyalgia Syndrome: A Network Analysis Approach.

The aim of this study was to quantify the multivariate relationships between clinical, cognitive performance, executive functioning, and psychological outcomes in women with fibromyalgia (FMS) using network analyses. Demographic (age, height, weight), clinical (pain history, pain intensity, and related disability), neurocognitive (D2 Attention test, Rey-Osterrieth Complex Figure for visual perception, "Digits D/R/I" tests of the WAIS-IV battery for working memory, the 5-Digit Test for mental inhibition, the Symbol Search for processing speed and the Zoo Test for planning/decision making) and psychological (depressive symptoms, anxiety levels, sleep quality, pain hypervigilance) variables were collected in 129 women with FMS and 111 healthy women. Network analyses were conducted separately for each group to quantify the adjusted correlations between the modeled variables and to assess their centrality indices (i.e., connectivity with other symptoms in the network and their importance in the network). The network identified 74 associations in FMS women and 46 associations in controls with small differences. The strongest correlations in both groups were found between different attention variables: d2_CON with d2_C, d2_O with d_2TR, and d2_CON with d2_TA. The most central variables were d2_TA, d2_C, and d2_CON (highest strength centrality in both groups) and anxiety levels and pain hypervigilance (highest harmonic centrality in FMS women). The strength centrality of the network was stable for women with FMS (CScor0.7: 0.68) but not for healthy women (CScor0.7: 0.28). This study found that attention variables are most relevant within a neurocognitive network and that psychological variables are most important for the treatment of women with FMS. The clinical implications of the current findings, such as the development of treatments targeting these variables, are discussed.

Development of an eye-tracking system based on a deep learning model to assess executive function in patients with mental illnesses

Patients with mental illnesses, particularly psychosis and obsessive‒compulsive disorder (OCD), frequently exhibit deficits in executive function and visuospatial memory. Traditional assessments, such as the Rey‒Osterrieth Complex Figure Test (RCFT), performed in clinical settings require time and effort. This study aimed to develop a deep learning model using the RCFT and based on eye tracking to detect impaired executive function during visuospatial memory encoding in patients with mental illnesses. In 96 patients with first-episode psychosis, 49 with clinical high risk for psychosis, 104 with OCD, and 159 healthy controls, eye movements were recorded during a 3-min RCFT figure memorization task, and organization and immediate recall scores were obtained. These scores, along with the fixation points indicating eye-focused locations in the figure, were used to train a Long Short-Term Memory + Attention model for detecting impaired executive function and visuospatial memory. The model distinguished between normal and impaired executive function, with an F1 score of 83.5%, and identified visuospatial memory deficits, with an F1 score of 80.7%, regardless of psychiatric diagnosis. These findings suggest that this eye tracking-based deep learning model can directly and rapidly identify impaired executive function during visuospatial memory encoding, with potential applications in various psychiatric and neurological disorders.

Effects of motor and cognitive complex training on obstacle walking and brain activity in people with Parkinson's disease: a randomized controlled trial.

The difficulties in obstacle walking are significant in people with Parkinson's disease (PD) leading to an increased fall risk. Effective interventions to improve obstacle walking with possible training-related neuroplasticity changes are needed. We developed two different exercise programs, complex walking training and motor-cognitive training, both challenging motor and cognitive function for people with PD to improve obstacle walking. To investigate the effects of these two novel training programs on obstacle walking and brain activities in PD. A single-center randomized, single-blind controlled study. University laboratory; outpatient. Individuals with idiopathic PD. Thirty-two participants were randomly assigned to the complex walking training group (N.=11), motor-cognitive training group (N.=11) or control group (N.=10). Participants in training groups received exercises for 40 minutes/session, with a total of 12-session over 6 weeks. Control group did not receive additional training. Primary outcomes included obstacle walking, and brain activities (prefrontal cortex (PFC), premotor cortex (PMC), and supplementary motor area (SMA)) during obstacle walking by using functional near-infrared spectroscopy. Secondary outcomes included obstacle crossing, timed up and go test (TUG), cognitive function in different domains, and fall efficacy scale (FES-I). The motor-cognitive training group demonstrated greater improvements in obstacle walking speed and stride length, SMA activity, obstacle crossing velocity and stride length, digit span test, and TUG than the control group. The complex walking training did not show significant improvement in obstacle walking or change in brain activation compared with control group. However, the complex walking training resulted in greater improvements in Rey-Osterrieth Complex Figure test, TUG and FES-I compared with the control group. Our 12-session of the cognitive-motor training improved obstacle walking performance with increased SMA activities in people with PD. However, the complex walking training did not lead such beneficial effects as the cognitive-motor training. The cognitive-motor training is suggested as an effective rehabilitation program to improve obstacle walking ability in individuals with PD.

Using Deep Learning Techniques as an Attempt to Create the Most Cost-Effective Screening Tool for Cognitive Decline.

This study aimed to use deep learning (DL) to develop a cost-effective and accessible screening tool to improve the detection of cognitive decline, a precursor of Alzheimer's disease (AD). This study integrating a comprehensive battery of neuropsychological tests adjusted for individual demographic variables such as age, sex, and education level. A total of 2,863 subjects with subjective cognitive complaints who underwent a comprehensive neuropsychological assessment were included. A random forest classifier was used to discern the most predictive test combinations to distinguish between dementia and nondementia cases. The model was trained and validated on this dataset, focusing on feature importance to determine the cognitive tests that were most indicative of decline. Subjects had a mean age of 72.68 years and an average education level of 7.62 years. The DL model achieved an accuracy of 82.42% and an area under the curve of 0.816, effectively classifying dementia. Feature importance analysis identified significant tests across cognitive domains: attention was gauged by the Trail Making Test Part B, language by the Boston Naming Test, memory by the Rey Complex Figure Test delayed recall, visuospatial skills by the Rey Complex Figure Test copy score, and frontal function by the Stroop Test Word reading time. This study showed the potential of DL to improve AD diagnostics, suggesting that a wide range of cognitive assessments could yield a more accurate diagnosis than traditional methods. This research establishes a foundation for future broader studies, which could substantiate the approach and further refine the screening tool.

Tablet-based Rey–Osterrieth Complex Figure copy task: a novel application to assess spatial, procedural, and kinematic aspects of drawing in children

The paper-and-pencil Rey–Osterrieth Complex Figure (ROCF) copy task has been extensively used to assess visuo-constructional skills in children and adults. The scoring systems utilized in clinical practice provide an integrated evaluation of the drawing process, without differentiating between its visuo-constructional, organizational, and motor components. Here, a tablet-based ROCF copy task capable of providing a quantitative assessment of the drawing process, differentiating between visuo-constructional, organizational, and motor skills, is trialed in 94 healthy children, between 7 and 11 years of age. Through previously validated algorithms, 12 indices of performance in the ROCF copy task were obtained for each child. Principal component analysis of the 12 indices identified spatial, procedural, and kinematic components as distinct dimensions of the drawing process. A composite score for each dimension was determined, and correlation analysis between composite scores and conventional paper-and-pencil measures of visuo-constructional, procedural, and motor skills performed. The results obtained confirmed that the constructional, organizational, and motor dimensions underlie complex figure drawing in children; and that each dimension can be measured by a unique composite score. In addition, the composite scores here obtained from children were compared with previsions results from adults, offering a novel insight into how the interplay between the three dimensions of drawing evolves with age.

Exploring neurocognitive features in adolescents and young adults with anorexia nervosa: Evidence from a longitudinal study.

We aimed to evaluate longitudinal changes in set-shifting and central coherence in a predominantly adolescent cohort with anorexia nervosa (AN) and to explore whether these factors predict long-term eating disorder outcomes. Ninety-two female patients with AN (mean age: 16.2, range: 13-21years) completed neurocognitive tests (Rey Complex Figure Test, Adapted Version of the Wisconsin Card Sorting Test) before and after 12months of psychotherapeutic treatment (n=45 Maudsley AN Treatment, MANTRa; n=47 standard psychotherapy; groups not randomised). Eating disorder severity was assessed at baseline, after 6, 12 and 18months. Central coherence (indicated by an increase in the Rey Figure Style Index) and set-shifting (indicated by a reduction in the percentage of perseverative errors) significantly improved over the course of treatment, with similar outcomes across groups. Lower central coherence was associated with higher eating disorder severity. Individuals with lower baseline set-shifting ability tended to have worse eating disorder outcomes in the long-term. However, this trend did not reach statistical significance in a multilevel linear mixed model. Neurocognitive difficulties in adolescents and young adults with AN can improve after treatment. Interventions specifically addressing flexibility in thinking and behaviour may contribute to treatment success.

Functional MRI-guided repetitive transcranial magnetic stimulation in cognitive impairment in cerebral small vessel disease

Introduction. Cerebral small vessel disease (CSVD) is one of the leading causes of vascular and mixed cognitive impairment (CI). Treatment options for CSVD-associated CI are limited. Repetitive transcranial magnetic stimulation (rTMS) is a promising non-drug treatment option. The aim of the study was to evaluate the effects of 10 rTMS sessions of the left dorsolateral prefrontal cortex (DLPFC) on cognitive functions in CSVD patients. Materials and methods. The study included 30 patients with CSVD and moderate CI randomized to the active (DLPFC stimulation; n = 20) and control (vertex stimulation; n = 10) groups. Both groups received 10 sessions of high-frequency rTMS. The DLPFC target was selected based on the individual paradigm fMRI data with a focus on executive functions. Cognitive function was assessed using the Montreal Cognitive Assessment Scale (MoCA), the Trail Making Test (TMT), the Tower of London Test, and the Rey–Osterrieth Complex Figure Test before, immediately after, and 3 months after the stimulation. Adverse events were assessed using standardized questionnaires. Results. The active group showed a significantly better effect compared to the control group according to MoCA, TMT A and B, The Tower of London Test, delayed recall on the Rey–Osterrieth Complex Figure Test immediately after the stimulation and MoCA, TMT A and B and The Tower of London 3 months after the stimulation. Adverse events in the study were mild and did not affect treatment adherence. Conclusion. rTMS is a promising, safe, and well-tolerated treatment option for mild cognitive impairment in CSVD. However, additional research is needed to make recommendations for its clinical use.

Association between Visceral Adipose Tissue Metabolism and Cerebral Glucose Metabolism in Patients with Cognitive Impairment.

Visceral adipose tissue (VAT) dysfunction has been recently recognized as a potential contributor to the development of Alzheimer's disease (AD). This study aimed to explore the relationship between VAT metabolism and cerebral glucose metabolism in patients with cognitive impairment. This cross-sectional prospective study included 54 patients who underwent 18F-fluorodeoxyglucose (18F-FDG) brain and torso positron emission tomography/computed tomography (PET/CT), and neuropsychological evaluations. VAT metabolism was measured by 18F-FDG torso PET/CT, and cerebral glucose metabolism was measured using 18F-FDG brain PET/CT. A voxel-based analysis revealed that the high-VAT-metabolism group exhibited a significantly lower cerebral glucose metabolism in AD-signature regions such as the parietal and temporal cortices. In the volume-of-interest analysis, multiple linear regression analyses with adjustment for age, sex, and white matter hyperintensity volume revealed that VAT metabolism was negatively associated with cerebral glucose metabolism in AD-signature regions. In addition, higher VAT metabolism was correlated with poorer outcomes on cognitive assessments, including the Korean Boston Naming Test, Rey Complex Figure Test immediate recall, and the Controlled Oral Word Association Test. In conclusion, our study revealed significant relationships among VAT metabolism, cerebral glucose metabolism, and cognitive function. This suggests that VAT dysfunction actively contributes to the neurodegenerative processes characteristic of AD, making VAT dysfunction targeting a novel AD therapy approach.

Evaluating the Effectiveness of the Driving Resumption Assessment in Brain Disorders: Insights From a Retrospective Observational Study.

Objectives For patients with brain disorders, regaining the ability to drive is crucial to their reintegration into society. Despite the existence of numerous assessment methods for determining the ability to resume driving, the most effective approach remains unclear. This study evaluated patients with brain disorders who had received support for driving resumption. We examined the factors influencing the acquisition of driving ability in this specific population. Methods This retrospective observational study was conducted from July 2019 to March 2022. Initially, a desk-based assessment was conducted using neuropsychological tests. Successful candidates subsequently underwent an on-road assessment at an affiliated driving school. Patients who passed both assessments were granted permission to resume driving. The participants were categorized into pass and fail groups based on their assessments, and a comparative analysis was conducted. Age, sex, type of brain disorder, functional independence measures (FIMs), assessments of higher cognitive skills, and physical function test results were evaluated. Results Forty-five patients (average age: 62±13 years) underwent evaluation. Logistic regression analysis for the desk-based assessment identified the Rey-Osterrieth complex figure test (ROCFT) (three-minute delayed recall) as the most influential factor (cutoff value: 21.5 points; sensitivity: 65%; specificity, 72.7%). In the on-road assessment, the 10-m walking test was significantly faster in the passing group than in the failing group (p<0.005). Conclusions We demonstrated that the ROCFT (three-minute delayed recall) was the most effective neuropsychological assessment tool for evaluating driving resumption. The assessment of walking speed may also be able to predict the resumption of driving in patients with brain disorders.