Biology subjects

Grasso-Cladera, A.

Publications and source records attributed to Grasso-Cladera, A..

4 recordsLinked to original sources

bioRxiv2025

Neuroscientific Insights into the Built Environment: A Systematic Review of Empirical Research on Indoor Environmental Quality, Physiological Dynamics, and Psychological Well-Being in Real-Life Contexts

The research aims to systematize the current scientific evidence on methodologies used to investigate the impact of indoor built environment on well-being, focusing on Indoor Environmental Quality (IEQ) variables such as thermal comfort, air quality, noise, and lighting. This systematic review adheres to the Joanna Briggs Institute framework and PRISMA guidelines to assess empirical studies that incorporate physiological measurements like heart rate, skin temperature, and brain activity, captured through various techniques in real-life contexts. The principal results reveal a significant relationship between the built environment and physiological as well as psychological states. For instance, thermal comfort was found to be the most commonly studied IEQ variable, affecting heart activity and skin temperature. The research also identifies the need for a shift towards using advanced technologies like Mobile Brain/Body Imaging (MoBI) for capturing real-time physiological data in natural settings. Major conclusions include the need for a multi-level, evidence-based approach that considers the dynamic interaction between the brain, body, and environment. The study advocates for the incorporation of multiple physiological signals to gain a comprehensive understanding of well-being in relation to the built environment. It also highlights gaps in current research, such as the absence of noise as a studied variable of IEQ and the need for standardized well-being assessment tools. By synthesizing these insights, the research aims to pave the way for future studies that can inform better design and policy decisions for indoor environments.

neuroscience↗

bioRxiv2025

Exploring brain dynamics within the Approach-Avoidance Bias

Approach-avoidance behaviors (AAB) are fundamental mechanisms that guide interactions with the environment based on the emotional valence of stimuli. While previous research has extensively explored behavioral aspects of the AAB, the neural dynamics underlying these processes remain insufficiently understood. The present study employs electroencephalography (EEG) to systematically investigate the neural correlates of AAB in a non-clinical population, focusing on stimulus- and response-locked event-related potentials (ERPs). Forty-three participants performed a classic Approach-Avoidance Task (AAT) while EEG activity was recorded. Behavioral results confirmed the AAB effect, with faster reaction times in congruent compared to incongruent trials, as well for positive versus negative trials. ERP analyses revealed significant differences in the Valence factor, with early effects for stimulus-locked trials and late differences at the parietal-occipital region for response-locked trials. However, no significant effects were found for the Condition factor, suggesting that the neural mechanisms differentiating congruent and incongruent responses might not be optimally captured through EEG. Additionally, frontal alpha asymmetry (FAA) analyses showed no significant differences between conditions, aligning with the literature. These findings provide novel insights into the temporal and spatial characteristics of AAB-related neural activity, emphasizing the role of early visual processing and motor preparation in affect-driven decision-making. Future research should incorporate methodological approaches for assessing AAB in ecologically valid settings.

neuroscience↗

bioRxiv2024

Investigating saccade-onset locked EEG signatures of face perception during free-viewing in a naturalistic virtual environment

Current research strives to investigate cognitive processes under natural conditions. Virtual reality and EEG are promising techniques combining naturalistic settings with close experimental control. However, many questions and technical challenges remain, e.g., are fixation or saccade onsets a suitable replacement as key events in continuous gaze trajectories (Amme et al., 2024), and can VR effectively capture differences across experimental conditions (Rossion & Jacques, 2008)? To address both questions, we investigate the N170 face effect in a free-viewing immersive VR study that contained houses, various background stimuli, and, notably, static and moving pedestrians to study face perception under naturalistic conditions. Our results show that aligning trials to saccade-onset leads to more well-defined ERPs, especially for the P100 component, and support that saccade-onset ERPs are the better-suited analysis method than fixation-onset ERPs for this type of experiment. Further, we observe an evolution of condition-based differences, i.e., face vs. background fixations, compatible with previous reports but extending in a large temporal window and including all electrode sites at different points in time. In summary, experiments combining VR, EEG, and eye-tracking provide further insights into the processing of faces and the relevance of saccadic onsets as event triggers under natural conditions. Significance StatementWith the effort of investigating and understanding cognitive processes under naturalistic conditions, combining virtual reality and EEG can be fruitful to implement free-viewing studies. The current work combines these technologies to explore key challenges in the context of face perception in an immersive virtual environment. Our results show that saccade-onset ERPs yield more precise measurements when analyzing continuous eye-tracking data than fixation onsets. Furthermore, when processing face compared to background stimuli, distinct temporal patterns encompassing all electrode sites can be observed, offering new insights into face perception. Overall, this work highlights the potential of integrating VR and EEG to advance our understanding of cognitive processes in naturalistic settings.

neuroscience↗

bioRxiv2024

Approach-Avoidance Bias in Virtual and Real-World Simulations: Insights from a Systematic Review of Experimental Setups

BackgroundApproach and avoidance bias (AAB) describes automatic behavioral tendencies to react toward environmental stimuli regarding their emotional valence. Traditional setups have provided evidence but often lack ecological validity. The study of the AAB in naturalistic contexts has recently increased, revealing significant methodological challenges. This systematic review evaluates the use of virtual reality (VR) and real-world setups to study the AAB, summarizing methodological innovations and challenges. MethodsWe systematically reviewed peer-reviewed articles employing VR and real-world setups to investigate the AAB. We analyzed experimental designs, stimuli, response metrics, and technical aspects to assess their alignment with research objectives and identify limitations. ResultsThis review included 21 studies revealing diverse methodologies, stimulus types, and novel behavioral responses, highlighting significant variability in design strategies and methodological coherence. Several studies used traditional reaction time measures yet varied in their application of VR technology and participant interaction paradigms. Some studies showed discrepancies between simulated and natural bodily actions, while others showcased more integrated approaches that preserved their integrity. Only a minority of studies included control conditions or acquired (neuro)physiological data. ConclusionsVR offers a potential ecological setup for studying the AAB, enabling dynamic and immersive interactions. Our results underscore the importance of establishing a coherent framework for investigating the AAB tendencies using VR. Addressing the foundational challenges of developing baseline principles that guide VR-based designs to study the AAB within naturalistic contexts is essential for advancing the AAB research and application. This will ultimately contribute to more reliable and reproducible experimental paradigms and develop effective interventions that help individuals recognize and change their biases, fostering more balanced behaviors.

neuroscience↗