Incoming sensory input is condensed by our perceptual system to optimally represent and store information. In the temporal domain, this process has been described in terms of temporal windows (TWs) of integration/segregation, in which the phase of ongoing neural oscillations determines whether two stimuli are integrated into a single percept or segregated into separate events. However, TWs can vary substantially, raising the question of whether different TWs map onto unique oscillations or, rather, reflect a single, general fluctuation in cortical excitability (e.g., in the alpha band). We used multivariate decoding of electroencephalography (EEG) data to investigate perception of stimuli that either repeated in the same location (two-flash fusion) or moved in space (apparent motion). By manipulating the interstimulus interval (ISI), we created bistable stimuli that caused subjects to perceive either integration (fusion/apparent motion) or segregation (two unrelated flashes). Training a classifier searchlight on the whole channels/frequencies/times space, we found that the perceptual outcome (integration vs. segregation) could be reliably decoded from the phase of prestimulus oscillations in right parieto-occipital channels. The highest decoding accuracy for the two-flash fusion task (ISI = 40 ms) was evident in the phase of alpha oscillations (8-10 Hz), while the highest decoding accuracy for the apparent motion task (ISI = 120 ms) was evident in the phase of theta oscillations (6-7 Hz). These results reveal a precise relationship between specific TW durations and specific oscillations. Such oscillations at different frequencies may provide a hierarchical framework for the temporal organization of perception.
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http://dx.doi.org/10.1073/pnas.1714522114 | DOI Listing |
Nat Commun
January 2025
Department of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA.
Water is crucial for meeting sustainability targets, but its unsustainable use threatens human wellbeing and the environment. Past assessments of water scarcity (i.e.
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Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Laboratoire d'Ecologie et d'Ecotoxicologie des Radionucléides, Cadarache, 13115 France Saint Paul-Lez-Durance.
Environmental pollution associated with long term effects, especially in the case of ionizing radiation, poses significant risks to wildlife, necessitating a more nuanced approach to Ecological Risk Assessment (ERA). In radioecology, current methods, as outlined by the International Commission on Radiological Protection (ICRP), focus primarily on exposure and individual/population-level effects, often both suffering a lack of ecological realism due to the nature of data used, and, sidelining a big amount of critical non-individual effects such as sub-individual one like genotoxicity. This review aims to address these gaps by suggesting the integration of New Approach Methods (NAMs) and the Adverse Outcome Pathway (AOP) framework in the field of radioecology.
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December 2024
Faculty of Biology, Autonomous University of Sinaloa, Culiacan, MEX.
Introduction: In Mexico, respiratory diseases such as tuberculosis (TB), acute respiratory infections (ARI), pertussis (Pt), and pneumonia-bronchopneumonia (Nemu) represent critical public health challenges that contribute to morbidity and mortality and are exacerbated by socioeconomic factors and the COVID-19 pandemic.
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Cureus
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Internal Medicine, Unidade Local de Saúde de Coimbra, Coimbra, PRT.
Microscopic polyangiitis (MPA) is a rare, autoimmune, small-vessel vasculitis usually described with the presence of perinuclear antineutrophil cytoplasmic antibodies (p-ANCA). It encompasses a broad spectrum of clinical features, including fatigue, weight loss, fever, arthralgia, skin lesions, and involvement of the lungs or kidneys. Ocular manifestations, however, are extremely rare.
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December 2024
Cultural Technology and Communication, Intelligent Systems Lab, University of the Aegean, Mytilene, GRC.
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental condition marked by movement hyperactivity, often persisting into adulthood. Understanding the movement patterns associated with ADHD is crucial for improving diagnostic precision and tailoring interventions. This study leverages the HYPERAKTIV dataset, which includes high-resolution temporal data on motor activity from people diagnosed with ADHD.
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