Frequency tagging has been often used to study intramodal attention but not intermodal attention. We used EEG and simultaneous frequency tagging of auditory and visual sources to study intermodal focused and divided attention in detection and discrimination performance. Divided-attention costs were smaller, but still significant, in detection than in discrimination. The auditory steady-state response (SSR) showed no effects of attention at frontocentral locations, but did so at occipital locations where it was evident only when attention was divided between audition and vision. Similarly, the visual SSR at occipital locations was substantially enhanced when attention was divided across modalities. Both effects were equally present in detection and discrimination. We suggest that both effects reflect a common cause: An attention-dependent influence of auditory information processing on early cortical stages of visual information processing, mediated by enhanced effective connectivity between the two modalities under conditions of divided attention.
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http://dx.doi.org/10.1016/j.ijpsycho.2009.09.013 | DOI Listing |
J Cardiothorac Surg
January 2025
Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Continuous Positive Airway Pressure (CPAP) treatment brings more benefits than risks to most coronary heart disease (CHD) patients with obstructive sleep apnea (OSA). However, the pathophysiological mechanism by which CPAP treatment improves the prognosis of patients with CHD and OSA remains unclear. The purpose of this study was to clarify whether CPAP can improve arterial stiffness and inflammatory factor levels in CHD patients with OSA, and to further improve prognosis.
View Article and Find Full Text PDFHum Immunol
January 2025
Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address:
Background: Recurrent pregnancy loss (RPL) remains a complex and challenging reproductive issue often associated with immunological abnormalities. This study investigates the immunomodulatory effects of intradermal lymphocyte therapy in RPL patients, exploring cellular, molecular, and cytokine changes, with specific attention to individuals with positive anti-thyroid peroxidase antibodies (Anti-TPO).
Methods: The study included 105 patients with RPL, divided into Anti-TPO positive RPL patients (n = 25), Anti-TPO negative RPL patients (n = 38), and RPL patients without lymphocyte immunotherapy (LIT) (n = 42).
BMC Bioinformatics
January 2025
The Institute of Cancer Research, London, United Kingdom.
Background: Deep learning (DL) has set new standards in cancer diagnosis, significantly enhancing the accuracy of automated classification of whole slide images (WSIs) derived from biopsied tissue samples. To enable DL models to process these large images, WSIs are typically divided into thousands of smaller tiles, each containing 10-50 cells. Multiple Instance Learning (MIL) is a commonly used approach, where WSIs are treated as bags comprising numerous tiles (instances) and only bag-level labels are provided during training.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Chemical Engineering, University College London, Gower Street, WC1E 6BT London, United Kingdom of Great Britain and Northern Ireland. Electronic address:
Wastewater management is one of the main factors that affect drinking water quality. Therefore, the removal of micropollutant from urban wastewaters is receiving an increased attention. This study conducts a comprehensive life cycle assessment (LCA) and life cycle costing of a full-scale ozonation advanced wastewater treatment for micropollutant removal to identify the main impact contributors.
View Article and Find Full Text PDFPLoS One
January 2025
Medical Image Processing Research Group (MIPRG), Dept. of Elect. & Comp. Engineering, COMSATS University Islamabad, Islamabad, Pakistan.
Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research focus, particularly in addressing cardiac and respiratory motion. Techniques such as Compressed Sensing (CS) and Parallel Imaging (pMRI) have been proposed to accelerate MRI data acquisition and improve image quality. However, these methods have limitations in high spatial-resolution applications, often resulting in blurring or residual artifacts.
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