Search Results (410)

Background/Objectives: This study investigates specific neuropsychological functions—visuospatial working memory, attention, planning, and decision-making—among preschool-aged children with Developmental Coordination Disorder (DCD) compared to typically developing (TD) peers. The objective was to assess deficits in selective, sustained, and focused expressive attention, visuospatial and visual/verbal working memory, and decision-making abilities, and to examine their relationship with fundamental motor skills. Methods: A comparative study was conducted with Greek preschool-aged children using the Cognitive Assessment System (CAS) to evaluate cognitive processing (planning, attention, simultaneous processing) and the Movement Assessment Battery for Children—Second Edition (MABC-2) to assess motor skills. Results: Significant performance disparities were identified between DCD and TD children across attentional and planning domains, with notable cognitive–motor correlations. Discriminant function analyses revealed high classification accuracy (e.g., 73.9% for receptive attention, 79.5% for simultaneous processing), reinforcing the diagnostic value of targeted cognitive indices. Notably, approximately one-third of the children with DCD (17 out of 44) exhibited deficits in one or more cognitive domains. Conclusions: These findings highlight the importance of neuropsychological profiling in understanding DCD and suggest that targeted motor interventions may simultaneously enhance executive function. A strength-based, holistic assessment approach is recommended, supported by educator training and evidence-based therapeutic programming. Full article

(1) Background: Recent decades have seen growing interest in neuroplasticity and the activity-dependent mechanisms that allow Brain Networks to adapt functionally. Among the various stimuli, physical exercise has emerged as a key modulator of brain plasticity. This narrative review aims to synthesize evidence on the structural and functional effects of physical exercise on the brain in healthy individuals aged 18–80 years. Exercise modalities were categorized into Cardiovascular, Strength, and Mixed Training. Each was further classified by intensity (Light-to-Moderate vs. Vigorous) and duration (Short- vs. Long-Term). A total of 25 interventions were analyzed to evaluate how these variables influence Brain Networks. Findings indicate that exercise type, intensity, and duration collectively modulate neuroplastic responses. Notably, physical training induces structural and functional changes in major Brain Networks, including the Default Mode Network, Salience Network, Central Executive Network, Visuospatial Network, Sensorimotor Network, and Language and Auditory Networks. These results underscore the potential of physical exercise as an effective non-pharmacological strategy to enhance brain health and plasticity across the adult lifespan. This narrative review aims to highlight the effects of physical exercise in changing the brain either functionally or structurally. Moreover, the most relevant exercise training modalities that may improve/change neural networks in healthy populations (18–80 years) were discussed. (2) Methods: Three different types of exercise were considered: (i) Cardiovascular, (ii) Strength, and (iii) Mixed Exercise. For each of them, two levels of intensity (Light-to-Moderate and Vigorous) and two durations (Short-Term and Long-Term Effects) were included. By analyzing 25 interventions, indications about the effects on the brain considering the three factors (type of exercises, intensities, and durations) were provided. (3) Results: The findings suggest that the type of exercises, intensities, and durations could to lead neural modification over time. Specifically, exercise intervention contributes to both structural and functional changes in brain regions located in key Brain Networks, including the Default Mode Network, Salience Network, Central Executive Network, Visuospatial Network, Sensorimotor Network, and Language and Auditory Networks. (4) Conclusions: In conclusion, the evidence presented herein underscores the beneficial effects of physical exercise on the structural and functional integrity of the brain, highlighting its importance as a non-pharmacological intervention to improve brain plasticity. Full article

Significance: Hepatic encephalopathy (HE) occurs in 20–80% of patients with liver cirrhosis, impacting attention, memory, processing speed, and visuospatial skills. HE standard-of-care psychometric assessments are time-consuming and require staff training. Oculometrics may provide a fast, non-invasive brain health assessment that can be self-administered in a medical environment. Purpose: We investigated whether an oculometric assessment could measure the severity of HE as accurately as standard-of-care psychometric methods. Methods: Forty-eight participants (19 with decompensated cirrhosis, 10 with compensated cirrhosis, 19 controls) completed a previously validated five-minute oculometric test and the standard-of-care psychometric hepatic encephalopathy (PHE) battery. The oculometric test consists of following a dot as it moves across a computer screen and generates 10 metrics including a summary score called nFit. The PHE battery entails five standard cognitive tests, generating seven metrics including a PHE composite score (PHES). Results: The oculometric summary score, nFit, correlated with the current diagnostic standard, the PHES (r = 0.51, p < 0.001), the presence or absence of HE as determined by PHES composite (r = −0.44, p < 0.001), as well as the severity of cirrhosis (r = −0.59, p < 0.001). Additionally, performance on both nFit and PHES distinguished compensated (ROC: nFit: 0.71, PHES: 0.68) and decompensated (ROC: nFit: 0.88, PHES: 0.85) patient groups from control participants comparably. Finally, compared to participants with decompensated cirrhosis, control participants had better scores for almost all oculometrics: acceleration, catch-up saccade amplitude, proportion smooth, direction noise, and speed noise. Conclusions: Patients with liver disease showed impairment on multiple aspects of visual processing compared to a control group. These functional visual processing impairments correlate with the presence or absence of HE, showing significant sensitivity in distinguishing people with HE from controls. Oculometric tests provide a quick, non-invasive functional assessment of brain health in patients with liver disease, with sensitivity indistinguishable from standard-of-case psychometric tests. Full article

Background: Reading difficulties are closely linked to phonological awareness (PA), though PA tasks vary in complexity and cognitive demands. Recent research suggests that dyslexia reflects multiple cognitive risk factors, aligned with multi-level models of reading and recent theories of complex modularity. These models propose that different tasks engage different cognitive modules depending on their structure, according to a dynamic and graded organization. Methods: This study investigates cognitive functions that predict performance on a complex PA task (spoonerism) in 115 fourth-grade Italian students. Results: The results indicate that: (1) dividing the sample into high- and low-performing groups in verbal working memory (alpha span test) and visuospatial working memory (object updating task) revealed that students with lower working memory capacity performed significantly worse on the spoonerism task—underscoring the importance of general working memory for this type of activity; (2) Gaussian graphical models showed that spoonerism performance was strongly associated with the object updating task (r = 0.47) and the alpha span test (r = 0.33), confirming a close link between this phonological task and general working memory. Conclusions: These findings support the view that complex PA tasks depend on a broader set of cognitive systems beyond phonological processing. They align with theories of dynamic modularity, which propose that modularity arises from task demands, not fixed anatomical constraints. In children, the involvement of executive attention suggests that such tasks are not yet automatized but rely on central cognitive control. Understanding this complexity is crucial for interpreting reading performance and developing targeted, multi-componential interventions. Full article

Classical social cognitive conceptions suppose that the existence of common representations between agents constitutes the basis that represents the world from others’ perspectives. Alternatively, recent contributions support that the ability to distinguish self- from other’s representation would rather be at the origins of social inferences abilities. In the present study we compared the effects of two types of imitation training: mirror imitation (for which gesture could be represented in common referential) and anatomically congruent imitation (which requires not only a representation of the gesture of the model but also distinguishing between one’s own and others’ representations). We observed that a 4 min training of anatomically congruent imitation, but not of mirror imitation, improved performance on a visual perspective-taking test. This short training did not significantly impact self-reported measures of social cognitive skills. These results suggest that a unique transversal cognitive mechanism of co-representing and switching between self-related and other-related representations could be involved at both the motor and the mental-state levels. Opportunities for innovative social cognitive interventions at the motor level are discussed. Full article

Sex hormones’ and menstrual cycle’s effects on cognitive performance remain unclear. This study examined cognitive differences between women across menstrual cycle phases, sex differences between women and men, and hormone–cognition associations. In total, 71 healthy young adults, aged 20–36 (42 women, 29 men), completed standardised cognitive tests measuring attention, processing speed, working memory, and visuospatial abilities. Women were tested twice: during menstrual (low-oestradiol) and pre-ovulatory (high-oestradiol) phases; men once. Hormone levels (oestradiol, progesterone, testosterone) were measured in blood samples via electrochemiluminescence immunoassay (ECLIA). Two analytical strategies were used: (1) within-subject analysis comparing women between phases, and (2) between-group comparison across three groups—women in menstrual phase, pre-ovulatory phase, and men. Women performed better during pre-ovulatory versus menstrual phase in working memory (Digit span forward: p = 0.04; Digit span backwards max: p = 0.02) and attention switching (Trail Making Test B: p = 0.01). Sex differences in processing speed were observed only during the menstrual phase (Trail Making Test A: p = 0.03; Stroop B: p = 0.04), but not in the pre-ovulatory phase. Positive correlations between oestradiol/progesterone and cognitive performance were found in men, while complex bidirectional relationships emerged in women during the menstrual phase only. Testosterone showed no significant correlations. These findings highlight hormonal status effects on cognitive sex differences. Full article

Dementia is a broad category of neurodegenerative pathologies characterized by a progressive decline in two or more cognitive domains, including memory, language, executive and visuospatial functions, personality, and behavior, resulting in the loss of the ability to perform instrumental and/or basic daily activities. One of the most common types of dementia is Alzheimer’s disease. Current approved treatments for Alzheimer’s disease are mainly limited to alleviating cognitive, behavioral, and psychological deficits. To date, four drugs belonging to two families have been approved for the treatment of Alzheimer’s disease: acetylcholinesterase inhibitors (donepezil, galantamine, rivastigmine) and antiglutamatergic drugs (memantine). Drugs delay the progression of the disease, but they cause a number of side effects. Many scientific studies have focused on finding natural products with potential neuroprotective properties and no or minimal cytotoxicity that can support current drug therapy. The main objective of this review is to analyze and describe the neuroprotective potential of selected groups of natural substances (polyphenols, alkaloids, terpenoids) in one of the commonly performed in vivo studies, the scopolamine-induced animal model of Alzheimer’s disease. The article is a review of literature reports from the last 5 years, and the information collected indicates that the neuroprotective activity of natural compounds may prove to be a potential alternative or add-on for Alzheimer’s disease therapy. Full article

Background and Objectives: Multiple sclerosis (MS) is a chronic autoimmune, inflammatory, and neurodegenerative central nervous system disease. Neurodegeneration plays a central role in long-term disease progression. Materials and Methods: This cross-sectional study examined the relationship between neurodegenerative biomarkers, namely plasma neurofilament light chain (pNfL) levels and MRI-derived brain volume measurements, and clinical outcomes in 49 patients with relapsing–remitting multiple sclerosis (RRMS). Plasma NfL levels were quantified using Simoa technology, while MRI data was analyzed via FreeSurfer to measure volumes of grey and white matter, specific brain structures, and ventricular sizes. Cognitive performance was assessed using the Symbol Digit Modalities Test (SDMT) and Brief Visuospatial Memory Test-Revised (BVMT-R). Disability was evaluated using the Expanded Disability Status Scale (EDSS). Results: The results indicated significant positive correlations between SDMT scores and volumes of grey matter, white matter, and various subcortical structures, suggesting that preserved brain volume is linked to better cognitive performance. Negative correlations were observed between SDMT scores and ventricular volumes, as well as between SDMT scores and EDSS scores, implying that cognitive decline corresponds with structural brain deterioration and increased disability. No significant associations were found between BVMT-R scores and imaging data or disability measures. Plasma NfL levels showed significant correlations with early disease relapses and enlargement of the third and fourth ventricles, but not with brain volume, cognitive tests, or EDSS scores. Conclusions: These findings indicate that MRI-based brain volumetrics, particularly grey and white matter measures, are stronger indicators of cognitive function and disability in RRMS than plasma NfL. Full article

Infants discriminate faces early in the first year, but research on infants’ discrimination of bodies is plagued by mixed findings. Using a familiarisation novelty preference method, we investigated 7- and 9-month-old infants’ discrimination of body postures presented in upright and inverted orientations, and with and without heads, along with relationships with gross and fine motor development. In our initial studies, 7-month-old infants discriminated upright headless postures with forward-facing and about-facing images. Eye tracking revealed that infants looked at the bodies of the upright headless postures the longest and at the heads of upright whole figures for 60–70% of the time regardless of the presence of faces, suggesting that heads detract attention from bodies. In a more stringent test, with similarly complex limb positions between test items, infants could not discriminate postures. With longer trials, the 7-month-olds demonstrated a familiarity preference for the upright whole figures, and the 9-month-olds demonstrated a novelty preference, albeit with a less robust effect. Unlike previous studies, we found that better gross motor skills were related to the 7-month-olds’ better discrimination of upright headless postures compared to inverted postures. The 9-month-old infants’ lower gross and fine motor skills were associated with a stronger preference for inverted compared to upright whole figures. This is further evidence of a configural representation of bodies in infancy, but it is constrained by an upper bias (heads in upright figures, feet in inverted), the test item similarity, and the trial duration. The measure and type of motor development reveals differential relationships with infants’ representations of bodies. Full article

Background/Objectives: Fibromyalgia syndrome (FMS) is a chronic pain condition in which executive function (EF) alterations have been reported, though strikingly, relationships between simple executive functions (EFs) (updating, inhibition, and mental flexibility) and high-order ones, such as planning and problem-solving, have not been addressed yet in this population. This research aimed to firstly explore how low-level EFs play a role in planning and problem-solving performances. Methods: Thirty FMS patients and thirty healthy participants completed a series of neuropsychological tests evaluating low- and high-order EFs. Clinical and emotional symptoms were assessed with self-report questionnaires, while pain and fatigue levels were measured with numerical scales. Importantly, specific drug restrictions were accounted for. Results: Patients scored lower in most neurocognitive tests, with statistical significance noted only for visuospatial working memory (WM) and two planning and problem-solving tests. Pain, fatigue, and sleep disturbances showed important effects on most of the cognitive outcomes. Multiple regression analyses reflected that planning and problem-solving were successfully and partially predicted by updating, inhibition, and mental flexibility (though differences emerged between tasks). Conclusions: Our study confirms the presence of cognitive impairments in FMS, especially in high-order EFs, supporting patients’ complaints. Clinical symptoms play a role in FMS dyscognition but do not explain it completely. For the first time, as far as the authors know, simple EF influences on planning and problem-solving tests have been described for FMS patients. These results might help in unraveling the dysexecutive profile in FMS to design more adjusted treatment options. Full article

Background and Objectives: General-purpose multimodal large language models (LLMs) are increasingly used for medical image interpretation despite lacking clinical validation. This study evaluates the diagnostic reliability of ChatGPT-4o and Claude 2 in photographic assessment of adolescent idiopathic scoliosis (AIS) against radiological standards. This study examines two critical questions: whether families can derive reliable preliminary assessments from LLMs through analysis of clinical photographs and whether LLMs exhibit cognitive fidelity in their visuospatial reasoning capabilities for AIS assessment. Materials and Methods: A prospective diagnostic accuracy study (STARD-compliant) analyzed 97 adolescents (74 with AIS and 23 with postural asymmetry). Standardized clinical photographs (nine views/patient) were assessed by two LLMs and two orthopedic residents against reference radiological measurements. Primary outcomes included diagnostic accuracy (sensitivity/specificity), Cobb angle concordance (Lin’s CCC), inter-rater reliability (Cohen’s κ), and measurement agreement (Bland–Altman LoA). Results: The LLMs exhibited hazardous diagnostic inaccuracy: ChatGPT misclassified all non-AIS cases (specificity 0% [95% CI: 0.0–14.8]), while Claude 2 generated 78.3% false positives. Systematic measurement errors exceeded clinical tolerance: ChatGPT overestimated thoracic curves by +10.74° (LoA: −21.45° to +42.92°), exceeding tolerance by >800%. Both LLMs showed inverse biomechanical concordance in thoracolumbar curves (CCC ≤ −0.106). Inter-rater reliability fell below random chance (ChatGPT κ = −0.039). Universal proportional bias (slopes ≈ −1.0) caused severe curve underestimation (e.g., 10–15° error for 50° deformities). Human evaluators demonstrated superior bias control (0.3–2.8° vs. 2.6–10.7°) but suboptimal specificity (21.7–26.1%) and hazardous lumbar concordance (CCC: −0.123). Conclusions: General-purpose LLMs demonstrate clinically unacceptable inaccuracy in photographic AIS assessment, contraindicating clinical deployment. Catastrophic false positives, systematic measurement errors exceeding tolerance by 480–1074%, and inverse diagnostic concordance necessitate urgent regulatory safeguards under frameworks like the EU AI Act. Neither LLMs nor photographic human assessment achieve reliability thresholds for standalone screening, mandating domain-specific algorithm development and integration of 3D modalities. Full article

Background: Cognitive impairment (CI) is a common and disabling symptom in patients with relapsing–remitting multiple sclerosis (RRMS), potentially emerging at any stage, including preclinical phases. Despite its impact on quality of life, CI often goes unrecognized, as clinical follow-up typically focuses on motor and sensory symptoms. Validated tools, such as the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) and patient-reported outcomes (PROs), should be integrated into routine evaluations beyond the Expanded Disability Status Scale (EDSS). Objective: The objective of this study was to evaluate cognitive impairment and quality of life in patients with RRMS using the BICAMS and PROs. Methods: This cross-sectional, descriptive study included patients with RRMS under follow-up at a tertiary hospital in San Luis Potosí, Mexico. Participants underwent cognitive screening with the BICAMS battery and completed the MSQoL-54 (quality of life), FSMC (fatigue), and MSIS-29 (functional impact) scales. Statistical analyses included ANOVA, the Kruskal–Wallis test, and Pearson correlations. Results: Nineteen patients were evaluated (73.7% female, mean age 36.5 ± 8.9 years). BICAMS results showed variable cognitive performance, with no significant differences across treatment groups for processing speed (p = 0.222), verbal memory (p = 0.082), or visuospatial memory (p = 0.311). A significant correlation was found between verbal and visuospatial memory (r = 0.668, p = 0.002). Total quality of life differed significantly across treatments (F = 8.007, p = 0.029), with a strong correlation between overall quality of life and general health perception (r = 0.793, p < 0.001). Fatigue and MSIS scores showed no association with treatment. Conclusions: Cognitive impairment is common in RRMS and can be detected using brief assessment tools, such as the BICAMS. Incorporating cognitive screening and PROs into clinical practice is essential to guide comprehensive management. Full article

Apolipoprotein E (APOE) allele 4 (APOE4), one of the robust genetic risk factors for AD, has also been associated with cognitive decline in terms of memory, executive function, language, and global cognitive function. APOE genotype-stratified analysis can help to identify additional genetic loci which might be masked due to a strong effect of APOE4. We conducted a genome-wide meta-analysis in APOE2 carriers, APOE4 carriers, and APOE 3/3 homozygote groups among 2969 non-Hispanic Whites aged ≥ 65 years using slopes of decline over time across five cognitive domains (attention, language, executive function, memory, and visuospatial function) and global cognitive function. We identified novel genome-wide significant associations for decline in global cognitive function in the intergenic region between RNU7-66P/RNA5SP208 at rs116379916 (p = 1.44 × 10⁻⁹) in the APOE 3/3 group and for decline in language in the intergenic region between LINC0221/DTWD2 at rs13187183 (p = 3.79 × 10⁻⁸) in APOE4 carriers. A previously reported locus for decline in attention near RASEF at rs6559700 (p = 9.95 × 10⁻⁹) was found to be confined to the APOE 3/3 group. We also found two sub-threshold significant associations in the APOE 2 group for decline in attention (IL1RL2/rs77127114; p = 8.64 × 10⁻⁸) and decline in language (YTHDC2/KCNN2, rs116191836; p = 5.66 × 10⁻⁸). Our study points to potential biological pathways pertaining to specific domains within each APOE genotype group, and the findings suggest that immune-related pathways, plasma levels of polysaturated fatty acids, and bitter taste receptors may play roles in cognitive decline. Our findings enhance the understanding of cognitive aging and provide a framework for future studies. Full article

Background: Cognitive heterogeneity in Parkinson’s disease (PD) remains a diagnostic and prognostic challenge, particularly in early stages. In this cross-sectional study, we aimed to identify clinically relevant cognitive subtypes in early PD by integrating neuropsychological profiles with regional brain atrophy assessed via visual MRI scales. Methods: Eighty-one de novo PD patients (≤36 months from diagnosis) and twenty healthy controls underwent 3T MRI with visual atrophy ratings and completed an extensive neuropsychological battery. Results: Using a mixed a priori–a posteriori approach, we defined eight anatomocognitive subtypes reflecting distinct patterns of regional vulnerability: frontosubcortical, posterior cortical, left/right hippocampal, global, and preserved cognition. Specific MRI markers correlated with cognitive deficits in executive, visuospatial, memory, and language domains. Cluster analyses supported subtype validity (AUC range: 0.68–0.95). Conclusions: These results support a practical classification model linking cognitive performance to brain structural changes in early PD. This scalable approach may improve early patient stratification and guide personalized management strategies. Longitudinal studies are needed to assess progression patterns and therapeutic implications. Full article

Background/Objectives: Accurately predicting the arrival position of a moving target is essential in sports and daily life. While predictive saccades are known to enhance performance, the neural mechanisms underlying the timing of these strategies remain unclear. This study investigated how the timing of saccadic strategies—executed early versus late—affects cortical activity patterns, as measured by electroencephalography (EEG). Methods: Sixteen participants performed a task requiring them to predict the arrival position and timing of a parabolically moving target that became occluded midway through its trajectory. Based on eye movement behavior, participants were classified into an Early Saccade Strategy Group (SSG) or a Late SSG. EEG signals were analyzed in the low beta band (13–15 Hz) using the Hilbert transform. Group differences in eye movements and EEG activity were statistically assessed. Results: No significant group differences were observed in final position or response timing errors. However, time-series analysis showed that the Early SSG achieved earlier and more accurate eye positioning. EEG results revealed greater low beta activity in the Early SSG at electrode sites FC6 and P8, corresponding to the frontal eye field (FEF) and middle temporal (MT) visual area, respectively. Conclusions: Early execution of predictive saccades was associated with enhanced cortical activity in visuomotor and motion-sensitive regions. These findings suggest that early engagement of saccadic strategies supports more efficient visuospatial processing, with potential applications in dynamic physical tasks and digitally mediated performance domains such as eSports. Full article