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People with impairments are not able to participate in space missions. However, this is not because they cannot; instead, spacecraft have not been designed for them. Therefore, instead of simply excluding people with impairments, they…

Human-Computer Interaction · Computer Science 2022-09-27 Markus Wieland , Sebastian Feger , Tonja Machulla , Albrecht Schmidt

Functional magnetic resonance imaging recordings in the resting-state (RS) from the human brain are characterized by spontaneous low-frequency fluctuations in the blood oxygenation level dependent signal that reveal functional connectivity…

Neurons and Cognition · Quantitative Biology 2013-02-21 Iwo Jerzy Bohr , Eva Kenny , Andrew Blamire , John T. O'Brien , Alan J. Thomas , Jonathan Richardson , Marcus Kaiser

From the basic impact of nutrient intake on health maintenance to the psychosocial benefits of mealtime, great advancements in nutritional sciences for support of human space travel have occurred over the past 60 years. Nutrition in space…

Other Quantitative Biology · Quantitative Biology 2016-10-05 Catalano Enrico

Individuals react differently to social experiences; for example, people who are more sensitive to negative social experiences, such as being excluded, may be more likely to adapt their behavior to fit in with others. We examined whether…

Brain connectivity can be estimated through a wide number of analyses applied to electroencephalographic (EEG) data. However, substantial heterogeneity in the implementation of connectivity methods exist. Heterogeneity in conceptualization…

Neurons and Cognition · Quantitative Biology 2021-09-01 Aleksandra Miljevic , Neil W. Bailey , Fidel Vila-Rodriguez , Sally E. Herring , Paul B. Fitzgerald

Functional brain connectivity, as revealed through distant correlations in the signals measured by functional Magnetic Resonance Imaging (fMRI), is a promising source of biomarkers of brain pathologies. However, establishing and using…

The detection of pilots' mental states is important due to the potential for their abnormal mental states to result in catastrophic accidents. This study introduces the feasibility of employing deep learning techniques to classify different…

Signal Processing · Electrical Eng. & Systems 2023-12-18 Dae-Hyeok Lee , Sung-Jin Kim , Si-Hyun Kim , Seong-Whan Lee

Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the understanding of user experience. We contribute a set of methods to…

Human-Computer Interaction · Computer Science 2016-01-13 Jérémy Frey , Maxime Daniel , Julien Castet , Martin Hachet , Fabien Lotte

Operators experience complicated physiological and psychological states when exposed to extreme heat stress, which can impair cognitive function and decrease performance significantly, ultimately leading to severe secondary disasters.…

Human-Computer Interaction · Computer Science 2024-04-04 Yan Zhang , Ming Jia , Meng Li , JianYu Wang , XiangMin Hu , ZhiHui Xu , Tao Chen

For humans accustomed to 1-G environments on Earth, microgravity conditions in orbit and on celestial bodies with lower gravitational field, such as the Moon, can be physiologically compromising. Of these, motor and fine-dexterity tasks…

Revived interest in lunar and planetary exploration is heralding a new era for human spaceflight, characterized by frequent strain on astronaut's mental well-being, which stems from increased exposure to isolated, confined, and extreme…

Coherence and phase synchronization between time series corresponding to different spatial locations are usually interpreted as indicators of the connectivity between locations. In neurophysiology, time series of electric neuronal activity…

Methodology · Statistics 2007-07-12 Roberto D. Pascual-Marqui

Functional connectivity (FC) analysis of resting-state fMRI data provides a framework for characterizing brain networks and their association with participant-level covariates. Due to the high dimensionality of neuroimaging data, standard…

Methodology · Statistics 2025-08-18 Wei Zhao , Brian J. Reich , Emily C. Hector

We investigate the influence of indirect connections, interregional distance and collective effects on the large-scale functional networks of the human cortex. We study topologies of empirically derived resting state networks (RSNs),…

Neurons and Cognition · Quantitative Biology 2013-02-18 Vesna Vuksanović , Philipp Hövel

Electroencephalography (EEG)-based attention disorder research seeks to understand brain activity patterns associated with attention. Previous studies have mainly focused on identifying brain regions involved in cognitive processes or…

Neurons and Cognition · Quantitative Biology 2024-10-15 Debashis Das Chakladar , Foteini Simistira Liwicki , Rajkumar Saini

In functional MRI (fMRI), effective connectivity analysis aims at inferring the causal influences that brain regions exert on one another. A common method for this type of analysis is structural equation modeling (SEM). We here propose a…

Quantitative Methods · Quantitative Biology 2024-09-10 G. Marrelec , A. Giron

This study evaluates pilots' cognitive workload and situational awareness during remote small unmanned aircraft system operations in different wind conditions. To complement the urban air mobility concept that envisions safe, sustainable,…

Human-Computer Interaction · Computer Science 2023-09-12 Asma Tabassum , He Bai , Nicoletta Fala

The extraction of brain functioning features is a crucial step in the definition of brain-computer interfaces (BCIs). In the last decade, functional connectivity (FC) estimators have been increasingly explored based on their ability to…

Neurons and Cognition · Quantitative Biology 2019-12-06 Tiziana Cattai , Stefania Colonnese , Marie-Constance Corsi , Danielle S. Bassett , Gaetano Scarano , Fabrizio De Vico Fallani

Cognitive load assessment is crucial for understanding human performance in various domains. This study investigates the impact of different task conditions and time constraints on cognitive load using multiple measures, including…

Human-Computer Interaction · Computer Science 2023-12-19 Arash Abbasi Larki , Akram Shojaei , Mehdi Delrobaei