Search Results (11,928)

Introduction: This systematic review examines the association between ultraprocessed food (UPF) intake and cognitive and executive function in adults. Given the global rise in overweight and obesity and the increasing consumption of UPFs, understanding their potential impact on brain health is of growing importance. Method: A comprehensive literature search was conducted in PubMed, EBSCO, and Scopus databases following PRISMA guidelines. Fourteen studies met inclusion criteria, encompassing cross-sectional, longitudinal, and experimental designs. Risk of bias was assessed using the National Institutes of Health Quality Assessment Tool. Results: The majority of studies (78.5%) reported a significant association between higher UPF consumption and poorer cognitive outcomes, including deficits in memory, executive function, and global cognition. Longitudinal studies consistently demonstrated that increased UPF intake is linked to accelerated cognitive decline and a higher risk of mild cognitive impairment and dementia, particularly in middle-aged and older adults. In contrast, cross-sectional findings were more heterogeneous, and evidence in younger populations remains limited and inconclusive. Conclusions: Overall, the findings suggest that high UPF consumption may be a modifiable risk factor for cognitive decline. However, methodological variability and the predominance of observational studies highlight the need for further longitudinal and experimental research to clarify causal mechanisms. Full article

Accurate and interpretable assessment of cognitive workload from EEG remains a central challenge in neuroergonomics and real-time human–machine interaction. To address the limitations of existing Empirical Mode Decomposition (EMD) and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) approaches, particularly their instability, limited neuroscientific grounding, and sensitivity to amplitude fluctuations, this paper introduces Scale-Stabilized Relative Intrinsic Mode Energy (SS-RIME), a theoretically motivated and physiologically informed feature extraction framework. SS-RIME integrates instantaneous frequency stabilization to enforce a consistent oscillatory hierarchy across subjects, delta (1–4 Hz) and theta (4–7.5 Hz) spectral weighting based on established frontal-midline activity, and cross-IMF energy normalization to reduce amplitude-driven variability. Applied to 64-channel EEG recorded during N-back tasks, the proposed framework achieved high performance, outperforming both classical machine-learning baselines and deep learning models such as EEGNet, DeepConvNet, and ShallowConvNet. SS-RIME yielded accuracies of $99.12\pm 0.41\%$ (0 vs. 2-back), $97.84\pm 0.63\%$ (0 vs. 3-back), and $92.31\pm 1.12\%$ (2 vs. 3-back), demonstrating strong cross-subject generalization. Theta-dominant IMFs over frontal midline regions emerged as the most discriminative components, supporting the neuroscientific validity of the stabilized and spectrally weighted Hilbert–Huang representation. With an inference time below 20 ms per epoch, SS-RIME is computationally efficient and suitable for real-time neuroergonomics applications, providing a robust, explainable, and physiologically grounded solution for EEG-based cognitive workload decoding while addressing key methodological gaps in prior EMD/CEEMDAN and deep learning approaches. Full article

This study investigates the internal structure and functional consistency of a brief scale designed to assess the social regulation of learning in collaborative higher education environments. Social regulation is essential to understanding how students coordinate cognitive and socio-emotional processes during group work, but brief and valid instruments remain limited. A total of 973 undergraduate students responded to seven items on a seven-point Likert scale. Exploratory and confirmatory factor analyses were performed to evaluate the dimensionality of the instrument. The results supported a two-factor structure comprising coordination regulation and collective engagement regulation. Standardized loadings ranged from 0.772 to 0.935 and the factors showed a high latent correlation (r = 0.792), indicating that they are distinct yet strongly interdependent. The model demonstrated excellent fit according to incremental indices (CFI = 0.992, TLI = 0.988) and acceptable residual fit (SRMR = 0.064). Although the RMSEA value exceeded conventional thresholds (RMSEA = 0.137, this result should be interpreted with caution due to the limited number of items and degrees of freedom, as documented in prior methodological research), these findings highlight how shared planning, monitoring, and socio-emotional alignment function as interconnected processes that support effective collaboration in academic teams. Overall, the study provides empirical evidence that a parsimonious two-dimensional model can capture key regulatory dynamics relevant to fostering sustainable collaborative practices in higher education. Future research should examine measurement invariance across contexts and explore associations with student performance, engagement, and well-being. Full article

Background/Objectives: Spatial neglect after stroke may be difficult to characterize in patients with severe motor, cognitive, and communication impairment. Augmentative and alternative communication interfaces require visual scanning and intentional selection and may therefore provide an ecological context in which lateralized visuospatial behavior becomes clinically observable. Methods: A 58-year-old man with a unilateral right-hemisphere hemorrhagic stroke underwent serial assessment at baseline before training, at the end of 24 AAC sessions delivered over 2 months in addition to standard neurorehabilitation, and at 1-month follow-up. Measures included cognitive functioning, behavioral responsiveness, global disability, bedside communication status, and P300 latency. The AAC/eye-tracking intervention also generated process data across 21 analyzable sessions, including calibration quality, free-exploration heatmaps, and performance in the Stars and Bow-Target tasks. Results: Global measures showed modest early improvement followed by stabilization. Cognitive functioning improved from 2 to 3 and remained stable, behavioral responsiveness increased from 7 to 10 and then to 11, bedside communication increased from 7 to 9 and remained stable, and P300 latency decreased from 393 to 350 and then to 351 ms, whereas global disability remained unchanged at 25 throughout. Calibration was at least good in all quadrants and never scored 0. Performance was lower and more unstable in Stars than in Bow-Target. Heatmaps showed rightward clustering, reduced left-sided exploration, and limited whole-screen scanning. Conclusions: AAC/eye-tracking did not provide formal diagnostic proof of neglect, but it supported ecological recognition of a neglect-like lateralized exploratory pattern under less guided conditions. Full article

Background/Objectives: Traumatic brain injury (TBI) often results in heterogeneous recovery across cognitive and motor domains. However, the prognostic implications of motor–cognitive imbalance at the time of rehabilitation discharge remain unclear. This study investigated whether discharge patterns of motor–cognitive imbalance are associated with functional outcomes at 1- and 2-year follow-up in individuals with moderate-to-severe TBI. Methods: We conducted a retrospective cohort study using the Traumatic Brain Injury Model Systems (TBIMS) National Database. Adults discharged from inpatient rehabilitation with available Functional Independence Measure (FIM) motor and cognitive subscores were included (n = 8342). Participants were classified as cognitive-dominant, motor-dominant, or balanced based on standardized discrepancies between FIM motor and cognitive scores. Propensity score matching was performed against the balanced group, yielding a matched cohort of 1310 participants. Outcomes included the Disability Rating Scale (DRS), FIM (total and subscales), Glasgow Outcome Scale—Extended (GOSE), and Participation Assessment with Recombined Tools—Objective (PART-O) at 1 and 2 years. Results: The matched cohort included cognitive-dominant (n = 524), motor-dominant (n = 524), and balanced (n = 262) participants with good covariate balance. Compared with the balanced group, the cognitive-dominant group showed lower disability severity (DRS) at 1 year (β = −0.45; 95% CI, −0.81 to −0.09) and 2 years (β = −0.40; 95% CI, −0.78 to −0.03), and higher FIM total scores at both time points. The motor-dominant group demonstrated higher FIM motor scores but lower odds of favorable disability status (DRS ≤ 3) at 2 years (OR = 0.52; 95% CI, 0.31–0.88). GOSE and PART-O outcomes did not differ significantly across groups. Conclusions: Discharge motor–cognitive imbalance patterns were associated with modest but distinct differences in long-term disability severity and functional independence after moderate-to-severe TBI. The direction of imbalance may provide additional prognostic context beyond total functional scores and support domain-targeted post-acute rehabilitation planning. Full article

Background/Objectives: Aging is associated with physiological, biochemical, and psychosocial changes that can significantly affect nutritional status and overall health. In Sub-Saharan Africa (SSA), older adults face unique age-related challenges that may compromise healthy aging, yet evidence remains fragmented. This systematic review synthesized the existing literature on the nutritional status, age-related challenges, and strategies to promote healthy aging of older adults in SSA. Methods: A systematic literature search was conducted on PubMed, Scopus, ScienceDirect, and Cochrane Library to identify relevant studies published up to 10 December 2025. Results: Fifty-five studies met the inclusion criteria, with most of the studies coming from South Africa, Ghana, and Nigeria. Amongst community-dwelling populations, approximately 30–65% of the older adults were either malnourished or at risk of malnutrition, while hospital-based studies reported markedly higher burdens, with malnutrition prevalence exceeding 70% in some settings. Undernutrition, micronutrient deficiencies, and the coexistence of overweight and obesity were frequently observed, reflecting the region’s ongoing nutrition transition. Frailty emerged as the predominant age-related challenge, with prevalence ranging around 10–60%. Other common challenges included sarcopenia, reduced muscle strength, functional disability, cognitive impairment, and dysphagia, all of which were closely related to poor nutritional status, food insecurity, multimorbidity, and reduced quality of life. Few studies reported on healthy aging strategies, with the limited evidence suggesting that nutrition education, physical activity, and psychosocial interventions may enhance nutritional and functional outcomes. Conclusions: The need for context-specific, nutrition-sensitive interventions, and stronger health and social support systems is warranted to promote healthy aging in SSA older adults. Full article

The escalating crisis of plastic pollution has positioned microplastics (MPs) as globally pervasive environmental contaminants, with a documented presence across aquatic, terrestrial, and atmospheric ecosystems, as well as within biological organisms. A growing body of evidence suggests that MPs not only threaten ecological integrity but may also induce multifaceted neurotoxic effects in humans, particularly targeting the functional architecture of the prefrontal cortex (PFC). As the central regulator of cognition, emotional processing, and behavioral control, PFC dysfunction has been hypothesized to be associated with cognitive deficits, emotional dysregulation, and behavioral abnormalities. In this comprehensive review, we synthesize the current understanding of MP-mediated neurotoxicity through three interconnected pathways: (1) structural and functional impairment of PFC neural networks, (2) disruption of neurotransmitter homeostasis, and (3) potential associations with neuropsychiatric pathogenesis. By integrating these mechanistic insights, this work aims to provide a scientific foundation for risk assessment frameworks and evidence-based environmental health policies. Full article

Background: Long-term methamphetamine use disrupts brain function and impairs cognition. Currently, there is a lack of effective treatments for cognitive dysfunction in this population. This study aimed to investigate the effects of different exercise interventions on cognitive function and brain activation in methamphetamine-dependent individuals and to explore the potential neural mechanisms underlying cognitive improvement. Methods: In this randomized, assessor-blind, controlled study, 162 male methamphetamine-dependent individuals in compulsory isolation were randomly assigned to one of four groups: traditional regimen training (TR, n = 41), aerobic exercise (AE, n = 40), multimodal cognitive exercise training (MC, n = 40), and a control group (MA, n = 41). All participants completed an 8-week intervention. Cognitive function was assessed before and after the intervention using the Stroop task, while fNIRS was used to measure task-related hemodynamic responses. In addition, the Memory and Executive Screening (MES) and choice reaction time tests were used to evaluate cognitive and psychomotor performance. Results: After 8 weeks, traditional regimen training (p = 0.006), aerobic exercise (p = 0.024), and multimodal cognitive exercise training (p < 0.001) all significantly improved Stroop task accuracy. Aerobic exercise significantly increased activation in L-DLPFC (p = 0.044), R-DLPFC (p = 0.036), and L-FPA (p = 0.038), improved MES-T scores (p < 0.001) and shortened choice reaction time (p < 0.001). Traditional regimen training increased L-DLPFC activation (p = 0.026), improved MES-T scores (p < 0.001), and shortened choice reaction time (p < 0.001). Multimodal cognitive exercise training increased activation in L-DLPFC (p = 0.006), R-DLPFC (p = 0.014), and L-FPA (p = 0.002), improved MES-T scores (p < 0.001) and shortened choice reaction time (p < 0.001). Conclusions: Cognitive impairment in methamphetamine-dependent individuals may be associated with reduced prefrontal functional activity. Different exercise modalities produced different patterns of cognitive improvement and brain activation, with multimodal cognitive exercise training showing the largest overall benefit. Full article

This study focuses on Lacto-N-neotetraose (LNnT), a core component of human milk oligosaccharides. Although LNnT has been demonstrated to promote early intestinal development and maintain gut homeostasis, its protective mechanism against D-galactose-induced intestinal injury and associated cognitive impairment remains unclear. This investigation systematically examined the protective effects and underlying mechanisms of LNnT against D-gal-induced colonic damage and cognitive impairment in mice. The results demonstrated that LNnT not only significantly improved systemic physiological phenotypes and upregulated the expression of colonic tight junction proteins to repair the intestinal barrier, but also effectively enhanced learning and memory abilities in mice. Concurrently, LNnT reduced serum proinflammatory factor levels, elevated the anti-inflammatory factor IL-10, and alleviated oxidative stress. Furthermore, LNnT remodeled the gut microbiome structure by increasing microbial diversity, enhancing beneficial bacteria abundance, and promoting short-chain fatty acid production. Untargeted metabolomics analysis further revealed that LNnT corrected metabolic disturbances by regulating key sphingolipid molecules (ceramide, sphingosine, S1P) and the expression of related metabolic enzymes (ACER2, SphK2). In summary, this study suggests that LNnT mitigates intestinal injury and improves cognitive function, potentially through modulation of the gut microbiota–sphingolipid metabolism axis, although further causal validation is warranted. These findings provide a mechanistic foundation for future studies exploring its potential as a functional dietary ingredient. Full article

Background/Objectives: Major depressive disorder (MDD) remains a leading cause of disability worldwide and exhibits substantial biological heterogeneity that is not adequately captured by current symptom-based diagnostic systems. While the classical monoamine hypothesis has historically guided antidepressant development, it does not fully account for variability in treatment response, delayed therapeutic onset, or the persistence of cognitive and anhedonic symptoms. Converging evidence from molecular, neuroimaging, and translational studies increasingly implicates glutamatergic dysregulation and impaired neuroplasticity as key mechanisms in depressive pathology. This narrative review aims to integrate monoaminergic and glutamatergic perspectives within a dimensional framework that may help explain clinical heterogeneity and inform mechanism-based treatment strategies. Methods: A narrative synthesis of the literature was conducted using major biomedical databases including PubMed, Scopus, and Web of Science. Preclinical studies, neuroimaging investigations, biomarker research, randomized clinical trials, and meta-analyses examining monoaminergic dysfunction, glutamatergic signaling, neuroplasticity pathways, and rapid-acting antidepressants were reviewed and thematically integrated. Results: Evidence indicates that depressive syndromes may reflect varying contributions of monoaminergic dysregulation and glutamatergic–neuroplastic impairment. Monoaminergic disturbances interact with inflammatory and neuroendocrine processes, including cytokine-driven activation of the kynurenine pathway. In parallel, alterations in glutamatergic signaling, glial function, and BDNF–TrkB–mTOR pathways contribute to synaptic atrophy and network dysfunction. Rapid-acting antidepressants such as ketamine, esketamine, and dextromethorphan–bupropion provide clinical proof-of-concept that direct engagement of synaptic plasticity mechanisms can accelerate symptom improvement, particularly in treatment-resistant depression. Conclusions: Integrating monoaminergic and glutamatergic mechanisms within a “monoamine–glutamate continuum” offers a conceptual framework for understanding depressive heterogeneity and treatment response. Multimodal approaches combining clinical phenotyping with inflammatory, neuroimaging, and molecular markers may ultimately support mechanism-informed precision psychiatry strategies in major depressive disorder. Full article

Alzheimer’s disease (AD), the most common cause of dementia, is characterized by progressive memory and cognitive decline. Conventional genome-wide association studies (GWAS) comparing AD cases and controls may miss genetic influences that act along a continuum of cognitive function. Using data from 3007 participants in the National Institute on Aging Late-Onset Alzheimer’s Disease Family Study (NIA-LOAD GWAS), we conducted a family-based GWAS of eight quantitative cognitive phenotypes encompassing episodic memory (Logical Memory IA and IIA), working memory (Digit Span Forward, Backward, and Ordering), and semantic fluency (Animal, Fruit and Vegetable, and Vegetable Fluency). Family-based association testing in PLINK v1.9 identified numerous single nucleotide polymorphisms (SNPs) associated with cognitive phenotypes at genome-wide significant (p < 5 × 10⁻⁸) levels. Notably, genome-wide significant variants with cognatic functions were localized to genes implicated in synaptic function, neurodevelopment, and neurodegeneration, including TOMM40 (rs2075650), ERBB4 (rs1521543), APLP2 (rs12281267, rs959354), PTPRD (rs1353983, rs970347, rs1392511), NCAM2 (rs2826728), GRM7 (rs6788201), PAX5 (rs2988003, rs2381595), NRG1 (rs16875655), and NRG3 (rs1937957). Furthermore, the TOMM40 (rs2075650) was significantly associated with AD as a binary outcome (p = 4.60 × 10⁻²⁴) and APLP2 (rs12281267, rs959354), APOE (rs405509), PTPRD (rs1353983, rs970347, rs1392511) were associated with AD (p < 0.001). Additionally, several pathways including the ERBB4 signaling pathway (adjusted p = 2.82 × 10⁻³), driven by ERBB4, NRG1, and NRG3 may contribute to cognitive impairments. This study provides a comprehensive resource of cognitive endophenotype associations in AD families, advancing understanding of the genetic architecture underlying memory, executive function, and cognitive aging, and highlights new therapeutic targets for replication and functional follow-up. Full article

Objectives: Atrial fibrillation (AF), the most common sustained cardiac arrhythmia, and cardiometabolic comorbidity, have been increasingly associated with cognitive impairment and dementia. These associations, however, remain underexplored and underappreciated in middle-aged individuals with AF. This study aimed to explore the associations of early cognitive impairment with the presence of cardiometabolic comorbidities and potential associations with echocardiographic markers in middle-aged patients with and without AF. Methods: Between 2023–2024, fifty-six consecutive outpatients with a diagnosis of AF aged 45–65 years underwent clinical evaluation, transthoracic echocardiography, and comprehensive neuropsychological assessment using the Montreal Cognitive Assessment (MoCA) and the Consortium to Establish a Registry for Alzheimer’s Disease battery (CERAD). A control group of 58 age group-matched individuals without known cardiometabolic disease was included in comparative cognitive analyses. Results: Patients with AF and cardiometabolic comorbidities demonstrated early cognitive deficits, particularly in episodic memory and visuospatial functions, detectable even in individuals with normal MoCA scores, compared with the control group. However, no associations were observed between cognitive performance and conventional echocardiographic parameters in the group with AF. Conclusions: This study corroborated prior evidence of an association between cardiometabolic impairment and subtle cognitive impairment, but did not identify a specific contribution of echocardiography markers. More extensive and sensitive biomarkers of left atrial structure and function may be required to detect harmful associations with subtle cognitive impairment in middle-aged individuals. Further prospective studies, with a more balanced control for comorbidities, are warranted to clarify the clinical relevance of atrial structural remodeling in this context. Full article

Background: This cross-sectional study aimed to determine the status of kinesiophobia in patients with fibromyalgia syndrome (FMS) and to evaluate its relationship with cognitive functions, anxiety, depression, disease severity, and pain level. Methods: Fifty FMS patients (mean age 44.06 years; range 18 to 60 years) were included in the study. Fifty healthy participants (mean age 42.04 years; range 18 to 60 years) were included in the study as a control group. Participant recruitment for the study was conducted in a state hospital in Türkiye. Disease severity level in the FMS group was assessed using the Fibromyalgia Impact Questionnaire (FIQ). The Tampa Scale for Kinesiophobia (TSK) was administered to determine the participants’ kinesiophobia status. The Hospital Anxiety and Depression Scale (HADS) was used to assess the participants’ anxiety and depression status. The Montreal Cognitive Assessment (MoCA) test was administered to assess cognitive functions. Results: TSK, HADS-Anxiety, Visual Analog Scale (VAS), and FIQ scores were higher in the FMS group compared to the control group (p < 0.05). MoCA total scores, MoCA-Visuospatial/Executive, and MoCA-Attention scores were higher in the control group (p < 0.05). There was a weak positive correlation between TSK and FIQ scores in the FMS group (p: 0.02, r: 0.31). There was a weak negative correlation between TSK and MoCA-Naming scores in the FMS group (p: 0.02, r: −0.31). Conclusions: Increased kinesiophobia was found in FMS patients compared to the general population. It was determined that the level of kinesiophobia in FMS patients was related to disease severity and naming-related cognitive functions. Clinicians dealing with FMS should take this into particular consideration. Full article

Background: Amnestic mild cognitive impairment (aMCI) is considered a transitional state between normal aging and dementia, often without visible abnormalities on standard brain magnetic resonance (MR) images. The aim of the study was to analyze both microstructural and functional brain abnormalities using advanced MR techniques. Methods: The study included 27 patients with aMCI and an age-matched control group (CG) of 25 healthy subjects. All MR studies were performed on a 3T MR scanner (Philips, Ingenia) with a 32-channel head and neck coil using volumetric 3D T1 sequences, followed by a resting-state functional MRI (rs-fMRI) sequence. Volumetric analysis was performed using the Destrieux atlas to assess potential structural differences between groups. Seed-to-voxel functional connectivity analyses were conducted using the bilateral hippocampi and both anterior and posterior divisions of the parahippocampal gyri as seed regions. Results: Compared to healthy controls, reduced cortical thickness was observed in aMCI subjects in the temporal regions, frontal and orbitofrontal areas, limbic areas, parietal and sensorimotor cortices, as well as occipito-temporal regions. Additionally, significantly increased functional connectivity was observed between bilateral medial temporal lobe (MTL) regions and the right thalamus. Conclusions: Cortical thinning in various brain regions along with the increased functional connectivity between the MTL regions and the right thalamus may reflect potential compensatory mechanisms in response to initial subtle degenerative changes, emphasizing the importance of using both functional and structural imaging to detect early changes in aMCI patients. Full article