Neuroimaging techniques have demonstrated over the years their ability to characterize the brain abnormalities associated with different neurodegenerative diseases. Among all these techniques, magnetoencephalography (MEG) stands out by its high temporal resolution and noninvasiveness. The aim of the present study is to explore the coupling patterns of resting-state MEG activity in subjects with mild cognitive impairment (MCI). To achieve this goal, five minutes of spontaneous MEG activity were acquired with a 148-channel whole-head magnetometer from 18 MCI patients and 26 healthy controls. Inter-channel relationships were investigated by means of two complementary coupling measures: coherence and Granger causality. Coherence is a classical method of functional connectivity, while Granger causality quantifies effective (or causal) connectivity. Both measures were calculated in the five conventional frequency bands: delta (δ, 1-4 Hz), theta (θ, 4-8 Hz), alpha (α, 8-13 Hz), beta (β, 13-30 Hz), and gamma (γ, 30-45 Hz). Our results showed that connectivity values were lower for MCI patients than for controls in all frequency bands. However, only Granger causality revealed statistically significant differences between groups (p-values < 0.05, FDR corrected Mann-Whitney U-test), mainly in the beta band. Our results support the role of MCI as a disconnection syndrome, which elicits early alterations in effective connectivity patterns. These findings can be helpful to identify the neural substrates involved in prodromal stages of dementia.
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http://dx.doi.org/10.3233/JAD-170475 | DOI Listing |
Psychol Sport Exerc
January 2025
Mind Brain and Behavior Research Center, CIMCYC-UGR, University of Granada, Spain; Department of Experimental Psychology, University of Granada, Spain.
Self-pacing physical exercise is thought to rely on high-order cognitive processing (e.g., attentional control to monitor afferent cardiovascular feedback for exercise goals).
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February 2025
Department of Medicine, McMaster University, Population Health Research Institute, Hamilton, ON, Canada.
Background: People with subclinical atrial fibrillation are at increased risk of stroke, albeit to a lesser extent than those with clinical atrial fibrillation, leading to an ongoing debate regarding the benefit of anticoagulation in these individuals. In the ARTESiA trial, the direct-acting oral anticoagulant apixaban reduced stroke or systemic embolism compared with aspirin in people with subclinical atrial fibrillation, but the risk of major bleeding was increased with apixaban. In a prespecified subgroup analysis of ARTESiA, we tested the hypothesis that people with subclinical atrial fibrillation and a history of stroke or transient ischaemic attack, who are known to have an increased risk of recurrent stroke, would show a greater benefit from oral anticoagulation for secondary stroke prevention compared with those without a history of stroke or transient ischaemic attack.
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January 2025
Antiguo Hospital Civil de Guadalajara, "Fray Antonio Alcalde", Guadalajara 44280, Mexico.
This study investigates the relationship between SARS-CoV-2 RT-PCR cycle threshold (Ct) values and key COVID-19 transmission and outcome metrics across five years of the pandemic in Jalisco, Mexico. Utilizing a comprehensive time-series analysis, we evaluated weekly median Ct values as proxies for viral load and their temporal associations with positivity rates, reproduction numbers (Rt), hospitalizations, and mortality. Cross-correlation and lagged regression analyses revealed significant lead-lag relationships, with declining Ct values consistently preceding surges in positivity rates and hospitalizations, particularly during the early phases of the pandemic.
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January 2025
School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
In the context of China's ongoing industrial revolution and technological transformation, there is a growing demand for advanced energy management solutions and the increasing role of artificial intelligence in various industries. This paper aims to explore how artificial intelligence (AI) and Energy Storage Technology (EST) interact and co-evolve. Utilizing a full-sample Granger causality test, we identified significant interactions between AI and EST.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
Department of Linguistics, KU Leuven, 3000 Leuven, Belgium.
This study examines the relationship between morphological complexity and word order rigidity, addressing a gap in the literature regarding causality in linguistic changes. While prior research suggests that the loss of inflectional morphology correlates with the adoption of fixed word order, this study shifts the focus from correlation to causation. By employing Kolmogorov complexity as a measure of linguistic complexity alongside Granger Causality to examine causal relationships, we analyzed data from Germanic and Romance languages over time.
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