Activity and physical effort positively affect a person's psychophysical state and emotional experience. Interest in the phenomenon of flow, the state of perceived arousal, stems from its relationship to an individual's intrinsic motivation. Flow is an area of research in many fields, including sports. Nowadays, solutions are being sought to support the traditional assessment of cognitive and affective states using analysis of physiological signals. Therefore, the present study analysed and estimated the physiological responses that may occur during the induction of a flow state between exercises stimulated by additional metrorhythmic stimuli. Thirty-six healthy subjects participated in the study. The effects of various metrorhythmic stimuli on the body's physiological response during the subjects' free gait were examined. The physiological response and flow intensity were evaluated when the rate of individual stimuli was changed, and the rate was enforced. Several statistically significant variables and correlations were determined for physiological indicators depending on the stage of the study conducted and the level of flow experienced. A positive, statistically significant correlation of flow and HRV frequency variables was obtained. The results also confirm previous literature reports on the relationship between flow response and frequency heart rate variability during physical activity.

Background: Age-related macular degeneration (AMD) is a complex eye disorder with an environmental and genetic origin, affecting millions worldwide. The study aims to explore the association between retinal morphology and the polygenic risk score (PRS) for AMD using fundus images and deep learning techniques. Methods: The study used and pre-processed 23,654 fundus images from 332 subjects (235 patients with AMD and 97 controls), ultimately selecting 558 high-quality images for analysis. The fine-tuned DenseNet121 deep learning model was employed to estimate PRS from single fundus images. After training, deep features were extracted, fused, and used in machine learning regression models to estimate PRS for each subject. The Grad-CAM technique was applied to examine the relationship between areas of increased model activity and the retina’s morphological features specific to AMD. Results: Using the hybrid approach improved the results obtained by DenseNet121 in 5-fold cross-validation. The final evaluation metrics for all predictions from the best model from each fold are MAE = 0.74, MSE = 0.85, RMSE = 0.92, R² = 0.18, MAPE = 2.41. Grad-CAM heatmap evaluation showed that the model decisions rely on lesion area, focusing mostly on the presence of drusen. The proposed approach was also shown to be sensitive to artifacts present in the image. Conclusions: The findings indicate an association between fundus images and AMD PRS, suggesting that deep learning models may effectively estimate genetic risk for AMD from retinal images, potentially aiding in early detection and personalized treatment strategies.

Background/Objectives: Real-world registries of neovascular age-related macular degeneration (nAMD) treatments provide critical insights for optimizing patient care and resource allocation. This study evaluates one-year outcomes of anti-VEGF therapy with aflibercept, ranibizumab, and brolucizumab in the Polish Therapeutic Program Monitoring System between 1 January 2016 and 31 October 2023. Methods: We analyzed data from 51,902 treatment-naïve patients with nAMD, comparing baseline characteristics and outcomes across drugs, as well as between those who discontinued therapy early and those treated for at least one year. Results: No significant baseline differences were found between drug groups. One-year follow-up was available for 40,396 eyes; 3184 were lost to follow-up, and 8322 discontinued treatment: 14.4% for those receiving aflibercept, 24.1% for those receiving brolucizumab, and 20.1% for those receiving ranibizumab. Early discontinuers were older and had higher baseline visual acuity (aflibercept, ranibizumab). Twelve-month treatment outcomes, particularly visual acuity gains and injection frequency (~6–7/year), were similar across agents. Only ~22% achieved at least 0.3 logMAR improvement, underscoring real-world treatment challenges. Conclusions: System-level support, appropriate treatment intensification, and strategic use of newer, durable agents like brolucizumab are crucial to narrowing the gap between clinical trial efficacy and real-world effectiveness, ultimately improving long-term outcomes in nAMD care.

Abnormalities in muscle tone, such as postural hypotonia, can significantly affect motor development and postural control in children, often presenting with unclear origins and subtle clinical manifestations. These disturbances may also be associated with broader musculoskeletal dysfunctions. The presented research aims to examine whether electromyographic signal analysis can support the objective evaluation of muscle tone abnormalities in children. Electromyography (EMG) signals were recorded from the sternocleidomastoid and rectus abdominis muscles during the Neck Flexor Endurance Test in 31 children. Time-domain and frequency-domain characteristics were analyzed using statistical methods to differentiate groups classified by physiotherapy experts. Machine learning methods were used to objectively verify the usefulness of the collected data in classification tasks. Statistical analysis included group comparison using Student's t-test or non-parametric Mann-Whitney U test, where applicable. Compensatory mechanisms were observed in children with reduced muscle tone, with increased activation of the rectus abdominis muscles. EMG analysis revealed that the rectus abdominis muscles exhibited 25 statistically important features. Feature selection methods like RefielF presented the most differentiating set from sternocleidomastoid muscles (20 features). The Support Vector Machine showed the best overall performance (78.8%) with mean value data set. The EMG signal analysis revealed significant differences between children with reduced muscle tone and those with normal tone, emphasizing its clinical relevance for pediatric rehabilitation. The promising performance of the tested models suggests that this line of research may be warranted. These findings lay the groundwork for future work and underscore the need for further research on a larger sample to confirm and refine these observations.

Cognitive impairment (CI) is a common and disabling manifestation of multiple sclerosis (MS), yet it remains underdiagnosed in clinical settings. This study aims to identify the volumetric MRI markers of CI in MS patients. A total of 79 MS patients were enrolled; after exclusions, 63 with relapsing-remitting MS (RRMS) and 7 with primary progressive MS were analyzed. All participants underwent neuropsychological testing (CVLT, BVRT, CTT, VFT, VST, and SDMT). Brain volumes were analyzed using FreeSurfer. In RRMS, 59% had CI (35% single-domain, 24% multidomain). Multidomain CI was linked to reduced left cerebellar white matter and bilateral pallidum volumes, slight choroid plexus enlargement, and higher lesion volume versus cognitively preserved patients. Significant correlations were found between brain volumes and cognitive test scores: cerebellar and cerebral white matter, corpus callosum, subcortical gray matter, and thalamus volumes correlated positively with measures of processing speed, memory, and verbal fluency, while higher lesion load and larger choroid plexus volumes were associated with poorer cognitive performance. CI in MS is linked to both global and regional brain atrophy, as well as lesion load. Volumetric MRI, including choroid plexus analysis, may represent candidate imaging correlates of CI; however, longitudinal and externally validated studies are needed to confirm their predictive value and clinical utility.

Background: Age-related macular degeneration (AMD) is a multifactorial disease encompassing a complex interaction between aging, environmental risk factors, and genetic susceptibility. The study aimed to determine whether there is a relationship between the polygenic risk score (PRS) in patients with AMD and the characteristics of the retinal vascular network visualized by optical coherence tomography angiography (OCTA). Methods: 235 patients with AMD and 97 healthy controls were included. We used data from a previous AMD PRS study with the same group. The vascular features from different retina layers were compared between the control group and the patients with AMD. The association between features and PRS was then analyzed using univariate and multivariate approaches. Results: Significant differences between the control group and AMD patients were found in the vessel diameter distribution (variance: p = 0.0193, skewness: p = 0.0457) and fractal dimension distribution (mean: p = 0.0024, variance: p = 0.0123). Both univariate and multivariate analyses showed no direct and significant association between the characteristics of the vascular network and AMD PRS. Conclusions: The vascular features of the retina do not constitute a biomarker of the risk of AMD. We have not identified a genotype–phenotype relationship, and the expression of AMD-related genes is perhaps not associated with the characteristics of the retinal vascular network.