Diverse cortical and subcortical regions are synergically engaged during reward processing. Previous studies using time-frequency decomposition of Electroencephalography (EEG) data have revealed an increase of mid-frontal beta oscillatory activity (BOA) after reward delivery, which could be a potential mechanism in the coordination of the different areas engaged during reward processing. In order to evaluate this hypothesis, twenty subjects performed a monetary gambling paradigm in two separate sessions (EEG and fMRI). Time-frequency oscillatory EEG data and fMRI activity were fused using Joint Independent Component Analysis (ICA). The present results showed that mid-frontal BOA elicited by monetary gains is associated with the engagement of a fronto-striatal-hippocampal network previously involved in reward-related memory enhancement, supporting the role of this activity during reward processing.
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http://dx.doi.org/10.1016/j.neuroimage.2015.05.095 | DOI Listing |
BMC Health Serv Res
December 2024
Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, PB 4 St. Olavs Plass, N - 0130, Oslo, Norway.
Background: As the world's most populous country, India faces a growing challenge in addressing dementia, in which advancing age remains the strongest risk factor. Approximately 8.8 million Indians over the age of 60 are currently affected by this condition.
View Article and Find Full Text PDFBehav Processes
December 2024
SeaWorld California, San Diego, California, USA; SeaWorld Parks & Entertainment, Orlando, Florida, USA.
Activity budget investigations are necessary to understand how individuals within a group manage their daily activities, thus providing insights into the social dynamics of a species. Our objective was to explore and describe the behavioral activities within a group of managed care killer whales. From 261hours of coded surface video collected from April 2022 to January 2023, we scan-sampled day-time hours to examine eight behavioral categories exhibited by 8-9 killer whales bimonthly.
View Article and Find Full Text PDFDev Cogn Neurosci
December 2024
Developmental and Educational Psychology Department, Institute of Psychology, Leiden University, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, the Netherlands.
This preregistered study examined the neural correlates of vicarious reward processing and subsequent trust behavior in relation to experiences of victimization averaged over two years in late childhood. This study used a sample of children with prospective longitudinal data on peer victimization over the past two years (n = 83, 49.4 % girls, M = 10.
View Article and Find Full Text PDFSci Rep
December 2024
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Autonomous vehicles, often known as self-driving cars, have emerged as a disruptive technology with the promise of safer, more efficient, and convenient transportation. The existing works provide achievable results but lack effective solutions, as accumulation on roads can obscure lane markings and traffic signs, making it difficult for the self-driving car to navigate safely. Heavy rain, snow, fog, or dust storms can severely limit the car's sensors' ability to detect obstacles, pedestrians, and other vehicles, which pose potential safety risks.
View Article and Find Full Text PDFSci Rep
December 2024
School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.
Consensus algorithms play a critical role in maintaining the consistency of blockchain data, directly affecting the system's security and stability, and are used to determine the binary consensus of whether proposals are correct. With the development of blockchain-related technologies, social choice issues such as Bitcoin scaling and main chain forks, as well as the proliferation of decentralized autonomous organization (DAO) applications based on blockchain technology, require consensus algorithms to reach consensus on a specific proposal among multiple proposals based on node preferences, thereby addressing the multi-value consensus problem. However, existing consensus algorithms, including Practical Byzantine Fault Tolerance (PBFT), do not support nodes expressing preferences.
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