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Multivariate pattern analysis (MVPA) has played an extensive role in interpreting brain activity, which has been applied in studies with modalities such as functional Magnetic Resonance Imaging (fMRI), Magnetoencephalography (MEG) and Electroencephalography (EEG). The advent of wearable MEG systems based on optically pumped magnetometers (OPMs), i.e., OP-MEG, has broadened the application of bio-magnetism in the realm of neuroscience. Nonetheless, it also raises challenges in temporal decoding analysis due to the unique attributes of OP-MEG itself. The efficacy of decoding performance utilizing multimodal fusion, such as MEG-EEG, also remains to be elucidated. In this regard, we investigated the impact of several factors, such as processing methods, models and modalities, on the decoding outcomes of OP-MEG. Our findings indicate that the number of averaged trials, dimensionality reduction (DR) methods, and the number of cross-validation folds significantly affect the decoding performance of OP-MEG data. Additionally, decoding results vary across modalities and fusion strategy. In contrast, decoder type, resampling frequency, and sliding window length exert marginal effects. Furthermore, we introduced mutual information (MI) to investigate how information loss due to OP-MEG data processing affect decoding accuracy. Our study offers insights for linear decoding research using OP-MEG and expand its application in the fields of cognitive neuroscience.

Introduction The World Health Organization has drawn attention to the fact that coronary artery disease (CAD) is our modern \"epidemic.\" Nowadays, sudden death during sleep has become prevalent due to a lack of oxygen supply to the heart. CAD causes more deaths and disabilities and incurs greater economic costs than any other illness in the developed world. The prevalence of cardiovascular disorders and heart disease is on the rise in India. Hypertension is one of the leading risk factors for all cardiovascular diseases. This study aims to compare blood pressure variability before and after percutaneous coronary intervention (PCI), using ambulatory blood pressure monitoring (ABPM) in patients with stable and unstable CAD. Materials and methods This prospective observational study was conducted among 52 patients with stable and unstable CAD, admitted to the medicine department, who required PCI at a tertiary care hospital. Before and after PCI, the same antihypertensive drugs were orally administered. ABPM was performed before PCI and one day after PCI. ABPM was conducted every 30 minutes during the day and every 60 minutes during the night over a 24-hour period using a mobil-o-graph (IEM, Germany). The results of the observed parameters were analyzed using the HMS Client-Server 4.0 system (Informer Technologies, Inc., Los Angeles, USA). The collected data were analyzed using SPSS Statistics version 21.0 software (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.). Results Out of 52 patients, 28 (53.8%) had stable CAD and 24 (46.2%) had unstable CAD. The mean age of patients with stable and unstable CAD was 56.64±9.44 and 57.04±12.36 years, respectively. The majority of patients with stable (67.9%) and unstable CAD (62.5%) were males. Various other variables were considered, such as lipid profile, blood sugar, cardiac troponin-I, and medical history, including hypertension and type 2 diabetes mellitus. Among stable CAD patients, a comparison between pre- and post-PCI systolic blood pressure (SBP) did not show a significant difference in all SBP measurements (p>0.05). However, the mean diurnal index was significantly lower following PCI compared to before PCI (p=0.019). Among unstable CAD patients, a comparison between pre- and post-PCI SBP showed a significant change in peak daytime, average daytime, and diurnal index (p<0.05). For all other SBP measurements, the difference between pre- and post-PCI measurements was not statistically significant (p>0.05). In patients with stable CAD, a statistically significant change in diastolic blood pressure (DBP) following PCI was observed for peak daytime, peak nighttime, and average nighttime values. In contrast, for patients with unstable CAD, a statistically significant change in DBP following PCI was observed for peak daytime, peak nighttime, and minimum daytime values (p<0.05). Statistically, post-PCI, there was no significant difference between the two groups for SBP and DBP measurements (p>0.05). Additionally, there was no significant difference between the two groups pre- and post-PCI in the pattern of dipping. Conclusion A comparison of the ABPM before and after PCI showed that, within 48 hours post-PCI, the ambulatory blood pressure indicators did not differ statistically from those before PCI.

BACKGROUND: A well-known and fatal complication of myocardial infarction (MI) is post-infarction ventricular septal rupture (VSR). The benefits and risks associated with coronary angiography and subsequent coronary artery bypass grafting in these patients have sparked controversy. The aim of this study was to determine the outcome of revascularization following MI.
METHODS: Patients aged between 55 and 78 years were considered for the post-infarction ventricular septal rupture from 2011 to 2017. Factors such as age, sex, anthropometric measurements, systolic and diastolic blood pressure (SBP and DBP), and biochemical parameters like CPK-MB, cholesterol, low-density lipoprotein, high-density lipoprotein, and triglycerides were measured using standard methods.The estimated Glomerular Filtration Rate (eGFR), a measure of kidney function, was also determined. Additionally, coronary angiographic factors including ECG changes, left ventricular (LV) systolic function, right ventricular (RV) function, Pulmonary Artery Pressure (PAP), proximal coronary lesions in VSR, systolic PAP, Right Atrial Pressure (RAP), and mortality rate were determined.
RESULTS: The study enrolled a total of 81 patients who had been surgically treated for post-infarction VSR. These patients were divided into two groups: survivors (n=35) and non-survivors (N=41). The mean systolic and diastolic blood pressure was higher in the survivor group (115.3 ± 18.7 vs. 96.3 ± 25.3 and 74.6 ± 12.2 vs. 61.2 ± 19.0, P=0.001). PCI was performed in 2.9% of survivors and 9.8% of non-survivors. Angiographic data revealed that 17 (33%) and 33 (63%) patients had single and multiple coronary artery diseases, respectively. CPK-MB levels were significantly higher in the non-survivors group (P<0.05). Echocardiographic findings, including LV ejection fraction, RV ejection fraction, systolic PAP, and the anatomic location of VSR, did not significantly differ between survivors and non-survivors.
CONCLUSIONS: Based on these findings, it is recommended to avoid complete revascularization during surgical repair of post-infarction ventricular septal rupture, as it would not improve the outcome.

UNASSIGNED: Visit-to-visit variability in single biological measurements has been associated with cognitive decline and an elevated risk of cardiovascular diseases (CVD). However, the effect of visit-to-visit variability in multiple biological measures is underexplored. We investigated the effect of visit-to-visit variability in blood pressure (BP), heart rate (HR), weight, fasting plasma glucose, cholesterol, and triglycerides on cognitive performance and CVD.
UNASSIGNED: Data on BP, HR, weight, glucose, cholesterol, and triglycerides from study visits in the Outcome Reduction with Initial Glargine Intervention (ORIGIN) trial were used to estimate the association between visit-to-visit variability, cognitive performance (Mini Mental State Examination (MMSE) score) and CVD (non-fatal stroke, non-fatal myocardial infarction, or cardiovascular death). Visit-to-visit variation for each measurement was estimated by calculating each individuals visit-to-visit standard deviation for that measurement. Participants whose standard deviation was in the highest quarter were classified as having high variation. Participants were grouped into those having 0, 1, 2, 3, or ≥ 4 high variation measurements. Regression and survival models were used to estimate the association between biological measures with MMSE and CVD with adjustment for confounders and mean measurement value.
UNASSIGNED: After adjustment for covariates, higher visit-to-visit variability in BP, HR, weight, and FPG were associated with poorer MMSE and a higher risk of CVD. Effect sizes did not vary greatly by measurement. The effects of high visit-to-visit variability were additive; compared to participants who had no measurements with high visit-to-visit variability, those who had high visit-to-visit variability in ≥4 measurements had poorer MMSE scores (-0.63 (95 % CI -0.96 to -0·31). Participants with ≥4 measurements with high visit-to-visit variability compared to participants with none had higher risk of CVD (hazard ratio 2.46 (95 % CI 1.63 to 3.70).
UNASSIGNED: Visit-to-visit variability in several measurements were associated with cumulatively poorer cognitive performance and a greater risk of CVD.

UNASSIGNED: With the aim of improving treatment retention in patients with the onset of alcohol-related liver disease (ArLD), we designed a blended intervention (brief motivational intervention + \'serious game\' (SG)). We present the participatory design methodology and outcomes and the usability assessment of the intervention.
UNASSIGNED: (1) The design of the SG was based on the outcomes of two 3-h co-creation sessions with 37 participants (healthcare and technology professionals, patients, and patients\' relatives). The brief face-to-face motivational intervention was based on the 5 As Model and adapted to the ArLD population. (2) Usability pilot study: 20 participants (10 ArLD patients + 10 healthcare professionals) received the intervention. System Usability Scale (SUS) and Post-Study System Usability Questionnaire (PSSUQ) were applied to assess the SG usability and patients\' satisfaction with it. Weekly semi-structured interviews on the phone were conducted to identify the preferred elements in the SG and those aspects that should be improved.
UNASSIGNED: (1) Design: an SG in the form of a gamified web app, consisting of a daily activity for six weeks and adapted brief motivational interviewing. (2) Usability pilot study: usability results were excellent for both patients and healthcare professionals (SUS median score = 85). The general usability, the quality of the information provided by the SG and the quality of the interface were very positively rated in the PSSUQ (overall median score = 2, IQR = 1-2). The best-rated aspects were the provision of feedback, the use of metaphors and the application of audiovisual material. Changes in the design, response mechanics and content were applied after the study.
UNASSIGNED: The usability and acceptability of an intervention for increasing retention to treatment in patients with recent onset of ArLD and AUD were excellent for patients and healthcare professionals. A randomized-controlled trial is required to test the efficacy of this approach.

The application of wearable magnetoencephalography using optically-pumped magnetometers has drawn extensive attention in the field of neuroscience. Electroencephalogram system can cover the whole head and reflect the overall activity of a large number of neurons. The efficacy of optically-pumped magnetometer in detecting event-related components can be validated through electroencephalogram results. Multivariate pattern analysis is capable of tracking the evolution of neurocognitive processes over time. In this paper, we adopted a classical Chinese semantic congruity paradigm and separately collected electroencephalogram and optically-pumped magnetometer signals. Then, we verified the consistency of optically-pumped magnetometer and electroencephalogram in detecting N400 using mutual information index. Multivariate pattern analysis revealed the difference in decoding performance of these two modalities, which can be further validated by dynamic/stable coding analysis on the temporal generalization matrix. The results from searchlight analysis provided a neural basis for this dissimilarity at the magnetoencephalography source level and the electroencephalogram sensor level. This study opens a new avenue for investigating the brain\'s coding patterns using wearable magnetoencephalography and reveals the differences in sensitivity between the two modalities in reflecting neuron representation patterns.

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This paper presents an advanced approach for EEG artifact removal and motor imagery classification using a combination of Four Class Iterative Filtering and Filter Bank Common Spatial Pattern Algorithm with a Modified Deep Neural Network (DNN) classifier. The research aims to enhance the accuracy and reliability of BCI systems by addressing the challenges posed by EEG artifacts and complex motor imagery tasks. The methodology begins by introducing FCIF, a novel technique for ocular artifact removal, utilizing iterative filtering and filter banks. FCIF\'s mathematical formulation allows for effective artifact mitigation, thereby improving the quality of EEG data. In tandem, the FC-FBCSP algorithm is introduced, extending the Filter Bank Common Spatial Pattern approach to handle four-class motor imagery classification. The Modified DNN classifier enhances the discriminatory power of the FC-FBCSP features, optimizing the classification process. The paper showcases a comprehensive experimental setup, featuring the utilization of BCI Competition IV Dataset 2a & 2b. Detailed preprocessing steps, including filtering and feature extraction, are presented with mathematical rigor. Results demonstrate the remarkable artifact removal capabilities of FCIF and the classification prowess of FC-FBCSP combined with the Modified DNN classifier. Comparative analysis highlights the superiority of the proposed approach over baseline methods and the method achieves the mean accuracy of 98.575%.