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There is conjecture that our modern urban environments place high demand on our attentional resources, which can become depleted over time and cause mental fatigue. Natural environments, on the other hand, are thought to provide relief from this demand and allow our resources to be replenished. While these claims have been assessed with self-report and behavioral measures, there is limited understanding of the neural mechanisms underlying these attentional benefits. The present randomized controlled trial fills this gap in the literature by using electroencephalography to explore three aspects of attention—alerting, orienting, and executive control—from a behavioral and neural perspective. Participants ( N  = 92) completed the Attention Network Task before and after either a 40-min walk in nature or a 40-min walk in a control, urban environment. Participants that walked in nature reported their walk to be more restorative than those that walked in the urban environment. Furthermore, the nature group showed an enhanced error-related negativity after their walk, an event-related brain component that indexes executive control capacity, whereas the urban group did not. These findings demonstrate that a 40-min nature walk enhances executive control at a neural level, providing a potential neural mechanism for attention restoration in nature.

Behavioral studies suggest that immersion in nature improves affect and executive attention. However, the neural mechanisms underlying these benefits remain unclear. This randomized controlled trial ( N  = 92) explored differences in self-reported affect and in frontal midline theta (FMθ), a neural oscillation linked to executive attention, between a 40-min, low-intensity nature walk and an urban walk of comparable time and distance—controlling for ambient temperature, humidity, elevation change, walking pace, heart rate, calories burned, and moving time between the two groups. While affect improved for both groups, the nature walkers showed a significantly greater boost in positive affect than the urban walkers. Electroencephalography (EEG) data revealed significantly greater FMθ activity following the urban walk compared to the nature walk, suggesting that the urban walk placed higher demands on executive attention. In contrast, the nature walk allowed executive attention to rest, as indicated by the lower FMθ activity observed after the walk. This study suggests that changes in FMθ may be a potential neural mechanism underlying the attentional strain of urban environments in contrast to the attentional rest in nature.

Work shows that sexually-diverse individuals face high rates of early life adversity and in turn increased engagement in behavioral outcomes traditionally associated with adversity, such as sexual risk taking. Recent theoretical work suggests that these associations may be attributable to heightened sexual reward sensitivity among adversity-exposed women. We aimed to test these claims using a combination of self-report and EEG measures to test the relationship between early adversity, sexual reward sensitivity (both self-reported and EEG measured) and sexual risk taking in a sexually diverse sample of cis -gender women (N = 208) (Mage = 27.17, SD = 6.36). Results showed that childhood SES predicted self-reported sexual reward sensitivity which in turn predicted numbers of male and female sexual partners. In contrast we found that perceived childhood unpredictability predicted neurobiological sexual reward sensitivity as measured by EEG which in turn predicted male sexual partner number. The results presented here provide support for the notion that heightened sexual reward sensitivity may be a pathway through which early life adversity augments future sexual behavior, and underscores the importance of including greater attention to the dynamics of pleasure and reward in sexual health promotion.

The error negativity/error-related negativity (Ne/ERN) is one of the most well-studied event-related potential (ERP) components in the electroencephalography (EEG) literature. Peaking about 50 ms after the commission of an error, the Ne/ERN is a negative deflection in the ERP waveform that is thought to reflect error processing in the brain. While its relationships to trait constructs such as anxiety are well-documented, there is still little known about how the Ne/ERN may subsequently influence task-related behavior. In other words, does the occurrence of the Ne/ERN trigger any sort of error corrective process, or any other behavioral adaptation to avoid errors? Several theories have emerged to explain how the Ne/ERN may implement or affect behavior on a task, but evidence supporting each has been mixed. In the following manuscript, we review these theories, and then systematically discuss the reasons that there may be discrepancies in the literature. We review both the inherent biological factors of the neural regions that underlie error-processing in the brain, and some of the researcher-induced factors in analytic and experimental choices that may be exacerbating these discrepancies. We end with a table of recommendations for future researchers who aim to understand the relationship between the Ne/ERN and behavior.

Attention Restoration Theory posits that urban environments place high demand on our attentional systems, which can fatigue over time and lead to impairments in performance. On the contrary, natural environments are proposed to visually engage our attention but in a less demanding way, allowing for the recuperation of attentional resources and subsequent improvements in attentional performance. However, the neural mechanisms underlying these varying attentional demands remain poorly understood. The current study utilized electroencephalography (EEG) to explore attention-related brain activity when individuals view images of nature and urban environments. In a between-subjects design, 58 participants viewed 10-min of either nature or urban images while brain activity was recorded. Frequency-domain measures of parietal alpha and frontal theta were extracted from the raw EEG data to quantify visual engagement and cognitive demand, respectively. Participants that viewed nature images displayed significantly lower parietal alpha power than participants that viewed urban images, suggesting nature scenes are more visually engaging than urban scenes. Participants that viewed nature images also displayed trends toward lower frontal theta power than participants that viewed urban images, suggesting that nature scenes are less cognitively demanding to process, though this effect was not statistically significant. Lastly, nature images were self-reported to be more restorative than urban images. Taken together, these results suggest that natural scenes are visually engaging, but not in a cognitively demanding fashion. This aligns with Attention Restoration Theory and prior literature suggesting that nature scenes engage effortless, involuntary attention while allowing effortful attention to rest and recover.

Empirical research on the mental health and cognitive benefits of nature immersion has expanded significantly in recent decades, building support for Attention Restoration Theory. However, the field still faces interpretive challenges due to inconsistent definitions of ‘nature' (whether nature imagery, real-world nature immersion, or other forms) and varied methodologies, which collectively limit our understanding of the underlying mechanisms that potentially drive these benefits. Addressing some of these limitations, the current study investigated whether exposure to virtual nature imagery influences attention restoration, as measured by the amplitude of the error-related negativity (ERN), similarly to real-world nature. In a repeated-measures randomized control design, 63 participants completed the Eriksen Flanker Task at three testing sessions. At Session 1, participants completed the task after viewing a neutral stimulus for 10 minutes. At Session 2, participants completed the task after viewing either nature or urban imagery for 10 minutes. At Session 3, participants completed the task after viewing the neutral stimulus again for 10 minutes. The ERN component generated from the Eriksen Flanker Task was quantified at each of the three testing sessions to assess changes in cognitive control and error monitoring associated with viewing different types of environmental imagery. Results showed no significant differences in ERN amplitude across sessions or between nature imagery and urban imagery at Session 2. Collectively, these results suggest that brief exposure to the 2-D nature imagery used within this study may not elicit the same attention-dependent responses as real-world nature exposure.

Partial driving automation is not always reliable and requires that drivers maintain readiness to take over control and manually operate the vehicle. Little is known about differences in drivers' arousal and cognitive demands under partial automation and how it may make it difficult for drivers to transition from automated to manual modes. This research examined whether there are differences in drivers' arousal and cognitive demands during manual versus partial automation driving. We compared arousal (using heart rate) and cognitive demands (using the root mean square of successive differences in normal heartbeats; RMSSD, and Detection Response Task; DRT) while 39 younger ( = 28.82 years) and 32 late-middle-aged ( = 52.72 years) participants drove four partially automated vehicles (Cadillac, Nissan Rogue, Tesla, and Volvo) on interstate highways. If compared to manual driving, drivers' arousal and cognitive demands were different under partial automation, then corresponding differences in heart rate, RMSSD, and DRT would be expected. Alternatively, if drivers' arousal and cognitive demands were similar in manual and partially automated driving, no difference in the two driving modes would be expected. Results suggest no significant differences in heart rate, RMSSD, or DRT reaction time performance between manual and partially automated modes of driving for either younger or late-middle-aged adults across the four test vehicles. A Bayes Factor analysis suggested that heart rate, RMSSD, and DRT data showed extreme evidence in favor of the null hypothesis. This novel study conducted on real roads with a representative sample provides important evidence of no difference in arousal and cognitive demands. Younger and late-middle-aged motorists who are new to partial automation are able to maintain arousal and cognitive demands comparable to manual driving while using the partially automated technology. Drivers who are more experienced with partially automated technology may respond differently than those with limited prior experience.

Vehicle automation is becoming more prevalent. Understanding how drivers use this technology and its safety implications is crucial. In a 6–8 week naturalistic study, we leveraged a hybrid naturalistic driving research design to evaluate driver behavior with Level 2 vehicle automation, incorporating unique naturalistic and experimental control conditions. Our investigation covered four main areas: automation usage, system warnings, driving demand, and driver arousal, as well as secondary task engagement. While on the interstate, drivers were advised to engage Level 2 automation whenever they deemed it safe, and they complied by using it over 70% of the time. Interestingly, the frequency of system warnings increased with prolonged use, suggesting an evolving relationship between drivers and the automation features. Our data also revealed that drivers were discerning in their use of automation, opting for manual control under high driving demand conditions. Contrary to common safety concerns, our data indicated no significant rise in driver fatigue or fidgeting when using automation, compared to a control condition. Additionally, observed patterns of engagement in secondary tasks like radio listening and text messaging challenge existing assumptions about automation leading to dangerous driver distraction. Overall, our findings provide new insights into the conditions under which drivers opt to use automation and reveal a nuanced behavioral profile that emerges when automation is in use. Key findings Drivers were less likely to use automation when roadway demands were higher. Secondary task engagements did not alarmingly change with automation usage (i.e., we only observed an increase in radio listening with Automation-L2). Automation usage alarms increased over time suggesting that drivers adopt a more relaxed interaction strategy with practice. The use of automation did not, by itself, increase fatigue or fidgeting. Rather, drivers used automation when they were already at risk of fatigue (i.e., during situations of low driving demand). Naturalistic Driving Research may benefit from true experimental control, especially in cases where driver behavior is contextually dependent (e.g., drivers may choose to use Automation only when they feel it is safe to do so).

The reliability of cognitive demand measures in controlled laboratory settings is well-documented; however, limited research has directly established their stability under real-life and high-stakes conditions, such as operating automated technology on actual highways. Partially automated vehicles have advanced to become an everyday mode of transportation, and research on driving these advanced vehicles requires reliable tools for evaluating the cognitive demand on motorists to sustain optimal engagement in the driving process. This study examined the reliability of five cognitive demand measures, while participants operated partially automated vehicles on real roads across four occasions. Seventy-one participants (aged 18–64 years) drove on actual highways while their heart rate, heart rate variability, electroencephalogram (EEG) alpha power, and behavioral performance on the Detection Response Task were measured simultaneously. Findings revealed that EEG alpha power had excellent test–retest reliability, heart rate and its variability were good, and Detection Response Task reaction time and hit-rate had moderate reliabilities. Thus, the current study addresses concerns regarding the reliability of these measures in assessing cognitive demand in real-world automation research, as acceptable test–retest reliabilities were found across all measures for drivers across occasions. Despite the high reliability of each measure, low intercorrelations among measures were observed, and internal consistency was better when cognitive demand was estimated as a multi-factorial construct. This suggests that they tap into different aspects of cognitive demand while operating automation in real life. The findings highlight that a combination of psychophysiological and behavioral methods can reliably capture multi-faceted cognitive demand in real-world automation research.

There is abundant evidence for both cognitive and affective improvements stemming from spending time in nature; however, the mechanism underlying these effects are still under debate. Frameworks such as Attention Restoration Theory (ART; Kaplan 1995) and Stress Recovery Theory (SRT; Ulrich et al. 1991) have been helpful in understanding how restoration is achieved. Using the neurovisceral integration model (NIVM; Thayer and Lane 2000, 2002), we suggest that cognitive restoration and stress recovery co-occur and that they are bidirectional manifestations of activity in the vagus nerve, which links the peripheral nervous system (PNS) to the central nervous system (CNS). Future research should examine both PNS and CNS activity simultaneously to provide a better understanding of the changes in the body and brain associated with immersion in nature. This research program will provide the scientific evidence to help inform public policy related to human health, urban design, and environmental protection.