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Journal of Health, Population, and Nutrition logoLink to Journal of Health, Population, and Nutrition
. 2024 Feb 3;43:23. doi: 10.1186/s41043-024-00514-6

Nature’s therapeutic power: a study on the psychophysiological effects of touching ornamental grass in Chinese women

Ahmad Hassan 1,, Zhang Deshun 1,
PMCID: PMC10838459  PMID: 38310320

Abstract

The health of city residents is at risk due to the high rate of urbanization and the extensive use of electronics. In the context of urbanization, individuals have become increasingly disconnected from nature, resulting in elevated stress levels among adults. The goal of this study was to investigate the physical and psychological benefits of spending time in nature. The benefits of touching real grass and artificial turf (the control activity) outdoors with the palm of the hand for five minutes were measured. Blood pressure and electroencephalography (EEG) as well as State-trait Anxiety Inventory (STAI) scores, and the semantic differential scale (SDM) were used to investigate psychophysiological responses. Touching real grass was associated with significant changes in brainwave rhythms and a reduction in both systolic and diastolic blood pressure compared to touching artificial turf. In addition, SDM scores revealed that touching real grass increased relaxation, comfort, and a sense of naturalness while decreasing anxiety levels. Compared to the control group, the experimental group had higher mean scores in both meditation and attentiveness. Our findings indicate that contact with real grass may reduce physiological and psychological stress in adults.

Keywords: Real grass, Artificial turf, Stress reduction, Electroencephalography, Urbanization

Introduction

In the twenty-first century, global health is being affected by urbanization. Over 50% of the world's population lives in cities, and this number is increasing [1, 2]. Modern individuals psychologically suffer from urban life [3]. Urban inhabitants composed 30% of the world population in 1950, while 54% of the globe lived in cities in 2014, and this increasing trend is expected to continue. It is projected that cities will host 66% of the world population by 2050 [4]. Lederbogen et al. contrasted urban and rural amygdala stress; specifically, they examined the differential amygdala activation that occurs during social stress. Urbanites reportedly exhibit greater amygdala activation than ruralites [3]. It has been found that urbanites may overreact to stress [5], and their level of stress is increased by tech stress from cellphones, computers, and social media [6]. Jiang et al. reported that green settings greatly reduce the stress-enhancing effects of electronic devices [7].

Stress, pollution, violence, and social isolation are detrimental to the mental health of urban residents. The WHO predicts that by 2030, 15% of DALYs will be caused by these variables [8]. Many productive young individuals suffer from mental health issues, the most common of which are depression and anxiety. Hunt et al. [9] and Peen et al. [10] reported 21% greater anxiety and a 39% greater incidence of mood disorders in urbanites than in ruralites. However, a considerable treatment gap exists due to the worldwide mental disorder load not having been properly addressed by health services [11].

The concept of connecting urbanites to nature for reducing mental health difficulties is becoming more popular. Regular exposure to nature is essential for maintaining favorable attitudes toward nature [12]. Numerous studies have shown that early exposure to nature increases the love of nature [13]. A US study by Bixler et al. [14] indicated that people who prefer pristine natural places have better cognitive experiences in such settings. According to Hinds and Sparks [15], in the UK, rural children are more nature friendly than urban children are. The above research indicates that early childhood experiences with nature shape our relationship with nature. Cheng and Monroe [13] and Zhang et al. [16] found that direct and indirect contact with nature improve the attitudes and feelings for nature.

Plant-based activities are also known to provide benefits. Horticultural activities improve peer connections, social skills, self-efficacy, emotional intelligence, and depression risk in children [17]. Studies have indicated that horticultural hobbies can reduce depression and anxiety, boost self-esteem, and boost BDNF in older people, which in turn boosts cognition [18]. Horticultural activities improve both upper and lower limb functions and muscle activation [19]. Many studies have examined the effect of green vegetation on physiological and psychological responses. In one study, the effects of white walls and plants were compared. The findings show that the presence of plants increases alpha wave activity, blood pressure, and heart rate [20]. Another study revealed that the presence of plants reduces prefrontal lobe oxyhemoglobin levels. The study participants also reported experiencing physiological relaxation [21]. Plants are known to be comforting, and exposure to nature boosts creativity and focus [22]. Research has shown that indoor natural environments reduce anxiety and tension, increase alpha and beta activity, and lower blood pressure [23].

Skin contact with different surfaces can evoke sensory and emotional responses [24]. The sensory components include touch discrimination among pressure, vibration, sliding, and texture. The emotional characteristics of tactile stimuli include pleasant and negative emotions [25]. Touch evaluation frequently emphasizes surface characteristics and subjective experiences. Touch influences preferences, health, and product satisfaction [26]. Many studies have been conducted to evaluate how material surface sensory characteristics affect emotional touch assessment [24].

However, tactile stimuli have rarely been examined. Morikawa et al. [27] found that Japanese cypress wood and artificial plates had different impacts on blood pressure. Sakuragawa et al. [28] studied how tactile stimuli (chilly, room temperature, and warm materials) affected human physiological responses. The researchers conducted a series of observations that yielded the following findings. First, the act of touching an aluminum plate resulted in a rise in blood pressure. However, this increase was mitigated when the aluminum plate was warm. Second, touching an acrylic plastic plate led to an elevation in blood pressure, and this effect was more pronounced when the acrylic plate was cold. Third, touching surfaces composed of Japanese cypress, Japanese cedar, or oak did not elicit any discernible changes in blood pressure, even when the oak surface was cold. Their study aimed to examine the physiological impacts of tactile stimuli through contact with wood on the human body. However, tactile stimuli research is scarce. The activity of planting has been shown to improve cognition more than the control condition [29]. Studies have shown that planting reduces psychophysiological stress compared to cerebral tasks [30]. The precise physiological and psychological responses to tactile stimuli originating from natural sources remain unknown despite empirical studies that have shown a favorable influence of nature on human well-being. Prior research has utilized methods such as measurements of heart rate, heart rate variability, and the Profile of Mood States (POMS) scores [31]. However, few electroencephalography (EEG) studies have examined the stress-reducing effects of tactile stimuli using grass. EEG is an accurate, noninvasive, non-fatiguing, and inexpensive method. EEG can also be used to study the impacts of auditory, gustatory, visual, and olfactory stimuli [32], and EEG devices have also been employed in studies of the brain–computer interface [32] and stress, anxiety, and other psychiatric diagnoses [33]. EEG measurements include activity in delta, beta, theta, alpha, and gamma waves. Beta waves replace alpha waves when mental stress or workload increases [34]. Work stress decreases alpha waves and increases theta waves, according to several studies [35]. Thus, EEG activity varies depending on local conditions, which enhances its precision in evaluating neurophysiological behaviors in human subjects [36]. In a study conducted in 1996, Brookings et al. [37] employed EEG to investigate variations in cognitive workload and stress levels that may not be discernible by alternative measurement methods.

A vast majority of urban residents highly value urban parks and woods that offer extensive landscapes including grass, trees, and open spaces [38]. The absence of green grass areas in parks, alongside boulevards, and surrounding residential areas, educational institutions, commercial establishments, and office spaces can substantially contribute to the overall gloominess of urban environments. Potential consequences include decreased productivity, heightened vulnerability to anxiety, and the development of mental disorders. Ulrich [39] illustrated this phenomenon, demonstrating that exposure to natural outdoor scenery facilitated recuperation among people receiving medical care in a hospital setting [40]. In their seminal work, Kaplan and Kaplan [41] examined the importance of natural elements, such as parks, wooded areas, and expansive landscapes, in enhancing the overall well-being and quality of life of urban residents [42]. They examined the utilization of natural amenities for both recreational purposes and aesthetic enjoyment, including the appreciation of natural beauty. Additionally, the participants in the study indicated a heightened level of contentment with their residential area and an overall improvement in well-being when they were near a natural landscape. Ultimately, greater personal contentment was observed when people actively engaged in gardening endeavors, such as the maintenance and nurturing of the surrounding environment [43]. Recreation and leisure activities on grass areas are highly important in modern society, particularly in highly populated urban regions, in terms of both the pleasure they provide and the benefits they offer for physical and mental well-being [44].

Ornamental grasses serve a crucial function in landscape design, augmenting aesthetic allure and contributing to cultural and historical relevance [45]. In addition, they make a substantial contribution to the diversity of landscapes and play a crucial role in preserving ecological equilibrium. The integration of ornamental grasses in lawns augments the aesthetic allure of recreational and residential spaces within urban environments [46]. The primary objective of this study was to evaluate the psychophysiological effects of tactile stimulation through the act of touching real grass (using the palm) and artificial turf (the control) in the Chinese population by evaluating numerous factors, including blood pressure, EEG activity, and emotional responses.

Methods

Participants

The present study recruited 54 female Chinese university students. The participants had an average age of 22.51 years with a standard deviation of 3.61 years. The participants' average weight was 57.9 kg with a standard deviation of 11.0 kg. Additionally, their average height was 164.75 cm with a standard deviation of 6.78 cm. None of the individuals reported a prior medical or psychiatric condition. Individuals with any physical diseases or psychiatric disorders were excluded from the study. In addition, we implemented measures to account for the influence of tobacco and alcohol consumption. To minimize the risk of influencing the outcomes, the purpose of the study was not disclosed to the participants. The current investigation was conducted within the university's laboratory facility number 5, which is located on campus. A single room with white walls and two windows on the southern side was chosen. To minimize external disturbances, the room was kept at a constant temperature and was quiet to ensure an environment conducive to the students' concentration and focus. To minimize potential disruptions during the experiment, all measurement devices were positioned behind the participants. The experiment was conducted during daylight hours, and the temperature, humidity, and light intensity conditions were maintained at 26 °C, 57% relative humidity, and 500 lx, respectively. Written informed consent was obtained from the participants, and the present investigation was approved by the Ethics Committee of the College of Architecture and Urban Planning at Tongji University in China. In this study, consent was obtained from participants to include their photographs in the manuscript.

Protocol

The research utilized a within-subject design to examine the physiological reactions of the participants in relation to two tasks. The participants were divided into two groups, Group A and Group B. On the first day, group A (N = 27) engaged in a task involving the tactile exploration of real grass using the palm of their hand for a duration of 5 min. While group B (N = 27) performed a control task (the same movements with artificial turf instead of real grass) for the same duration. On the next day, each group switched tasks. Both experimental activities were conducted while the participants had their eyes closed and maintained the same seated position.

Materials

For the purpose of tactile stimulation, a popular Chinese ornamental grass cultivated in a university greenhouse was used. As shown in Fig. 1, the experimental condition was compared with a control condition involving artificial plastic grass of a similar weight and size but purchased from outside the university. The size of the natural and synthetic grasses was approximately 1 × 1.5 ft, and the height of the natural and synthetic grasses was 1.6 inches.

Fig. 1.

Fig. 1

Tactile stimulation (with the palm of the hand) a artificial grass (control); b real grass

Measurements

Before the tactile stimuli were presented, subjects completed questionnaires that collected information on their age, weight, and height, the State-Trait Anxiety Inventory (STAI), and the semantic differential scale (SDS). Before the experiment, all participants closed their eyes and touched a white paper sheet on the floor with their palms for 10 s. Each participant was given a physiological measuring device, and after 5 min of rest, their initial blood pressure reading was taken on their right arm in the seated posture. Subsequently, the participants were directed to shut their eyes for a duration of 10 s and proceed to touch either real or synthetic grass material using their palms for a period of 5 min. The EEG data were obtained utilizing the MindWave-EEG headset (MW001) produced by NeuroSky Beijing Oriental Creation Technology Co., Ltd. in Beijing, China. The EEG headset had the capability to record brainwave activity originating from the frontal lobe region, namely, at FP1, a location positioned above the eye on the human forehead [47]. The system comprised four distinct components, specifically, a Bluetooth device, an ear clip, a sensor arm housing the EEG electrode, and a headband. The device was outfitted with a pair of dry sensors that were capable of detecting and filtering EEG data. The sensor tip had the capability to detect and analyze electrical signals captured from the frontal region of the human head. Additionally, this sensor could detect ambient noise originating from human musculature, lighting fixtures, electrical outlets, and various other electrical apparatuses. The ear clip served a dual purpose, functioning as a grounding mechanism and a reference point, enabling the chip (ThinkGear) to effectively eliminate any interference caused by electrical noise [48]. The power spectrum captured the unprocessed signal, encompassing several brainwave frequencies, such as high alpha, low alpha, high beta, low beta, theta, delta, and gamma bands. Furthermore, signals linked to focus or meditation scores were also recorded. The EEG data were acquired at a sampling frequency of 512 Hz [49], whereas measured values were acquired on a per-second basis. A small microchip within the gadget processed and transmitted electrical impulses to the PC through Bluetooth technology. The EEG data displayed discernible patterns of brainwave activity characterized by various frequencies, such as high alpha, low alpha, high beta, low beta, theta, delta, and gamma. The aforementioned patterns were observed at regular one-minute intervals for each site. Subsequently, the overall averages were computed for the duration of the five-minute activity. The headset was equipped with an EEG e-Sense Metric, which enabled the classification of brainwave frequencies into focus or meditation categories. The statistics pertaining to meditation and focus ranged from 1 to 100 as determined by the EEG e-Sense Metric. These values were categorized as follows: 0–20 signified an extremely low level, 20–40 indicated a somewhat low level, 40–60 represented a moderate level, 60–80 suggested a somewhat high level, and 80–100 denoted a very high level [50]. The eSense Attention meter assessed participants' focus levels by quantifying the strength of their mental attention or focus. The eSense Meditation meter was employed to quantify the cognitive processes taking place in the brain and evaluate the level of mental relaxation or tranquility reported by each participant. Systolic blood pressure, diastolic blood pressure, and heart rate were assessed using an Omron HEM-7011 sphygmomanometer, which is a device manufactured by Omron in China. These measurements were taken both before and after the experiment. The Chinese versions of the STAI [51] and SDM [52] were used to assess psychological states. The SDM had a 13-point scale that included word pairs such as “comfortable–uncomfortable,” “relaxed–energized,” and “natural–artificial” sensations. The STAI was used to assess anxiety and consists of 20 items (e.g., “I feel relaxed,” for example) that participants rated on a four-point scale. The state anxiety score was computed by aggregating the responses to the 20 questions, with a higher score indicating elevated anxiety. Before and after each task, the subjects completed the STAI and SDM. For both time points, the overall process was the same.

Statistical analysis

The statistical analysis was performed with SPSS 16.0 (SPSS Inc., Chicago, IL) software. Both analysis of variance (ANOVA) and a paired t test were used to assess the mean values of the physiological data. A P value of less than 0.05 was chosen as the cutoff point for statistical significance. The Wilcoxon signed-rank test was utilized to evaluate the psychological data, with a significance threshold of P < 0.01.

Results

The systolic (P = 0.002) and diastolic (P = 0.000) blood pressures of the participants exhibited a significant drop (P < 0.05) after 5 min of touching real grass (see Fig. 2). No significant (P > 0.05) difference in initial blood pressure values was observed between the two experimental conditions. There was not a significant (P > 0.05) variation in pulse rate (P = 0.97). The paired t test (Fig. 3) showed that tactile contact with real grass significantly (P < 0.05) increased activity in the high alpha (P = 0.0064), low alpha (P = 0.03), low gamma (P = 0.0078), and mid gamma (P = 0.03) bands compared to the control condition (touching artificial turf). However, there were no significant (P > 0.05) differences between the two conditions in terms of activity in the high beta (P = 0.21), low beta (P = 0.26), delta (P = 0.06), and theta (P = 0.11) bands, which indicates that these values were lower after 5 min of tactile contact with real grass than after 5 min of touching artificial turf. The findings from the one-way ANOVA indicated that touching real and artificial grass did not have a significant (P > 0.05) effect on activity in the high alpha (F = 0.4, DF = 9, P = 0.93), low alpha (F = 1.14, DF = 9, P = 0.33), high beta (F = 0.55, DF = 9, P = 0.83), and low beta (F = 1.03, DF = 9, P = 0.41) bands. Furthermore, there were no significant (P > 0.05) effects on activity in the theta (F = 1.55, DF = 9, P = 0.13) or delta (F = 1.72, DF = 9, P = 0.08) bands. There were no significant (P > 0.05) differences between conditions in terms of mid-gamma or low gamma activity (F = 0.86, DF = 9, P = 0.55 and F = 0.52, DF = 9, P = 0.85, respectively). The participants in the two groups demonstrated various degrees of relaxation and focus. The paired t test revealed that real grass and artificial turf conditions differed significantly (P < 0.05) in terms of relaxation (real grass: 56.07 ± 8.57; artificial turf: 48.10 ± 7.54) and focus scores (real grass: 67.01 ± 11.83; artificial turf: 59.64 ± 10.22). The SDM was used to evaluate the psychological responses of the participants regarding their feelings of naturalness, comfort, and relaxation during the two conditions. Figure 4 demonstrates that the SDM scores for "comfortable," "relaxed," and "natural" sensations were significantly (P < 0.01) different between the real and artificial grass conditions. The "comfortable" score indicated that participants felt more at ease after tactile contact with real grass than artificial turf (P < 0.01). In addition, participants felt significantly more relaxed after tactile contact with real grass than artificial turf (P < 0.01). After tactile contact with real grass, the participants felt a greater sense of naturalness than after touching artificial turf (P < 0.01). Finally, we observed a large difference in STAI scores between the two conditions. Compared to touching artificial turf, touching real grass led to lower anxiety levels (real grass: 41.57 ± 5.08 and control: 44.66 ± 5.11; P < 0.01, Fig. 5). Furthermore, there was no significant difference in STAI scores at baseline between the two conditions (P > 0.01).

Fig. 2.

Fig. 2

Comparison of systolic and diastolic blood pressure between real grass and artificial grass (control) tasks. N = 54; mean ± SE; *P < 0.05; by paired t-test

Fig. 3.

Fig. 3

Comparison of overall (5 min) mean values of EEG-brainwaves with eye closed A Overall mean values for high and low alpha waves activity B Overall mean values for high and low beta waves activity C Overall mean values for delta and theta waves activity D Overall mean values for low gamma and mid gamma waves activity between real grass and artificial grass (control) tasks. N = 54, mean ± SE, paired t test, *P < 0.05

Fig. 4.

Fig. 4

Participants scoring for comfortable, natural and relaxed feelings before and after touching real grass and artificial grass (control). N = 54, mean ± SE, *P < 0.01 by Wilcoxon signed-rank test

Fig. 5.

Fig. 5

Comparison of participants’ STAI scores before and after real grass and artificial grass tasks (control). N = 54, mean ± SE, *P < 0.01 by Wilcoxon signed-rank test

Discussion

The primary objective of the present investigation was to assess the potential stress-alleviating properties associated with touching real grass compared to artificial turf through tactile contact (palm-to-surface) for a duration of 5 min. The primary objective of this study was to assess the psychological and physiological reactions of Chinese adults. The results revealed a significant reduction in the average values of systolic and diastolic blood pressure after touching real grass compared to artificial turf. This suggests that the act of touching real grass led to greater relaxation. The results obtained in the present study are inconsistent with the findings of our previous research, which indicated that toe-to-grass contact for a duration of 10 min resulted in a greater reduction in both systolic and diastolic blood pressure than toe-to-wood contact [53]. However, these findings align with those of other studies that demonstrated a marked reduction in both systolic and diastolic blood pressure when individuals participated in horticulture activities compared to cognitive activities [54]. Lee et al. [30] reported comparable results in a prior investigation in which individuals engaged in plant-related tasks, specifically the transplantation of an indoor plant. The literature extensively documents the advantages of participating in physical activity for the management and prevention of hypertension [55]. Knowles et al. [56] found that individuals who engage in regular physical exercise demonstrate decreased systolic and diastolic blood pressures compared to those who engage in physical activity infrequently. Collectively, these data indicate that engaging in activities that entail physical contact with plants (such as grass) may reduce the likelihood of hypertension in young adults residing in urban environments. EEG presents a novel and contemporary scientific methodology for investigating stress, as it can reveal alterations in typical brainwave patterns when individuals are exposed to external stimuli [57]. In the current study, EEG data were collected. To examine the potential cognitive benefits of touching grass for reducing stress, participants were instructed to close their eyes and touch real grass or artificial turf (control condition) for five minutes. The findings revealed a significant increase in the high and low alpha activity after 5 min touching real grass. This suggests that individuals who touched real grass experienced a greater sense of relaxation compared to those who touched artificial turf [58]. These findings are in line with a prior experimental study that investigated the impact of horticultural activities with green plants and similarly showed an increase in alpha activity [32]. The participants in the present study exhibited reduced physiological arousal and greater relaxation and alertness while in contact with real grass. The results of our study align with previous research on examined the impact of green environments on sympathetic and EEG activity. Nakamura and Fujii [59] reported a large increase in the alpha and beta activity among participants who viewed an image depicting a natural hedge as opposed to those who viewed a picture of a concrete wall [60]. A study indicated that alpha waves are linked to a state of calm wakefulness [61]. The initial findings suggested that different sites exhibit frontal alpha asymmetry (FAA) during exposure to specific urban green spaces. These findings suggest that there is a higher likelihood of strong FAA in individuals in parks compared to a control site [62]. Prior studies have established a favorable association between alpha power and the subjective sensation of happiness [63]; conversely, a negative correlation has been observed between alpha power and the experience of despair. The potential correlation between enhanced alpha power and the manifestation of withdrawal symptoms, including but not limited to rage, restlessness, irritability, sleeplessness, tremor, aggression, and lack of appetite, warrants further investigation. In addition, alpha waves are prominent during periods of calmness and serenity [64]. Furthermore, an increased level of alpha wave activity has been linked to a condition characterized by profound relaxation [32]. On the other hand, the observed reductions in alpha activity within the control group suggest that individuals experienced heightened levels of stress while performing the task [54]. The outcomes of our study align with the conclusions of a prior investigation that observed that the act of touching wood led to a reduction in alpha activity [53]. Additionally, Thompson et al. [65] found that decreased alpha wave activity is linked to self-reported feelings of alertness, vigilance, tension, agitation, and visual attentiveness. The EEG data revealed different responses to different environmental stimuli, including variations in green and nongreen environments, as well as comparisons between historical and contemporary settings. The results revealed a significant correlation between the presence of vegetation and alpha power in the occipital region of the brain [66]. Nevertheless, there is a correlation between abnormally low alpha activity and transient ischemia episodes [32]. Additional evidence suggests a potential association between alpha activity and cognitive exertion. Greater cognitive exertion results in the inhibition of alpha oscillations, specifically originating from the frontal regions [67]. Thus, it may be inferred that 5 min of tactile contact with real grass resulted in heightened relaxation, as seen by elevated levels of both high and low alpha activity compared to those in the control group. Participants in the present study exhibited a reduction in both high and low beta activity after tactile contact with real grass, suggesting a decline in active focus and a drop in busy or anxious thoughts among the subjects. Beta activity has historically been associated with wakefulness, alertness, cognitive involvement, and conscious cognitive processing [68]. According to Miller et al. [69], the presence of beta waves characterized by low magnitudes and high frequencies is linked with instances of active, engaged, or apprehensive cognitive processes and focused attention. According to Grassini et al. [70], the observation of natural photographs led to an increase in alpha activity and a simultaneous decrease in beta activity. This pattern of results indicates that individuals allocated fewer attentional resources when viewing natural images as opposed to urban images. Beta brainwaves are typically dominant during various activities, including athletics, verbal communication, and focused listening [32]. High and low beta activity in participants was elevated after the completion of the control task, suggesting heightened states of alertness and cognitive engagement [71]. Prior studies have also demonstrated a correlation between high beta activity and heightened mental activity as well as between low beta activity and drowsiness [72]. Furthermore, our findings align with those of a prior investigation that explored the impacts of a blend of visual and olfactory stimuli derived from four distinct plant environments (namely, a lawn, rose garden, osmanthus garden, and pine forest) on physiological restoration with a specific focus on beta activity as well as overall perceived quality assessment. Nevertheless, it is crucial to acknowledge that the aforementioned amalgamation of stimuli did not have a substantial psychological impact. The findings of their study indicated that the utilization of multimodal stimuli resulted in more pronounced physiological improvements [73]. Hence, it may be inferred that the application of tactile stimuli, whether with real or artificial grass, has a significant impact on beta waves. The present study demonstrated that the tactile contact with real grass resulted in a reduction in delta activity, which may be attributed to the induction of drowsiness [74]. Delta rhythms are commonly observed during periods of deep, non-REM sleep, and their presence in awake recordings is typically indicative of tiredness. Nevertheless, tactile contact with synthetic turf was observed to result in heightened delta activity, which is associated with subconscious processes. Delta activity predominantly takes place during periods of deep sleep, also known as slow-wave sleep, in which dream experiences are absent [75]. The results of our study are inconsistent with previous studies and suggest that increased activity in the temporal lobes is associated with higher delta power and lower alpha power in other areas of the brain. This indicates a positive relationship between olfactory stimuli and improved sleep quality [76]. Perl et al. [77] discovered that the presentation of lavender stimuli leads to an increase in delta activity during nonrapid eye movement (NREM) sleep. The findings of their investigation demonstrated a favorable correlation between the duration of odor emission and the period of heightened delta activity, which aligns with our own research findings. In the current investigation, no significant variations in theta wave activity were found between tactile contact with real and artificial turf. The findings of this study indicate that, based on the established parameters, differences in the grass surface do not appear to have a significant impact on theta wave activity. It is postulated that theta waves may be indicative of initial stages of tiredness [78]. Theta activity is associated with the cognitive state commonly referred to as “daydreaming” as well as with enhanced creativity, mental imagery, and imagination [79]. According to Rowan and Tolunsky [80], diffuse theta activity is frequently observed in children. Theta waves are observed in individuals during periods of shallow sleep with closed eyelids or during states of profound relaxation, such as meditation or hypnosis [80]. Furthermore, this phenomenon is closely linked to profound internalization as well as various forms of introspective and contemplative activities that encompass physical, emotional, and critical thinking aspects [81]. The present study demonstrated that tactile contact with real grass resulted in a marked increase in low and mid gamma wave activity, and an elevation in gamma wave activity may be indicative of heightened levels of meditation [82]. The findings of the present investigation are consistent with earlier experiments demonstrating a correlation with general gardening activity and the transplantation of plants (specifically, yellow chrysanthemums). The gardening study demonstrated a marked increase in low and mid gamma wave activity during transplanting of plants as opposed to the transplanting activity conducted without plants [32]. In the field of neurophysiological research, Chien et al. [83] conducted an EEG study that compared the average response to laser-induced pain stimuli and nonpainful electrical somatosensory stimuli. The researchers observed fluctuations in delta/theta, alpha, beta, and gamma frequency ranges during pain and tactile experiments while controlling for attentional influences by employing randomized stimulus delivery [83]. This observation implies a potential correlation between elevated gamma activity and an enhanced state of meditation after touching real grass. The SDM and STAI scores revealed that participants had heightened feelings of "comfort" and "relaxation" after engaging in tactile contact with real grass compared to artificial turf. The findings of the present study provide empirical evidence of the psychological benefits of exposure to grass. The findings partially align with previous investigations by our research group. Our previous research indicated that participants who directly touched grass with the soles of their feet exhibited decreased levels of anxiety and reported better feelings in response, in contrast to those who touched wood [53]. The findings of this research indicate that touching grass with one's palm is a straightforward and readily available method for establishing a connection with the natural environment. Therefore, this practice has the potential to improve mental health and overall quality of life in contemporary society.

Nevertheless, it is important to acknowledge the numerous limitations of the current study. First, only young people from China were included. Future research should endeavor to examine individuals across a variety of ages, include a diverse array of landscape plants, trees, and flowers, and implement a more rigorously delineated control group. Second, the participants were not fully informed about the study's objectives to mitigate the potential for biased responses. While this approach may have helped obtain more natural reactions from the participants, it also posed ethical concerns and could impact the generalizability of the results. The lack of understanding about the study's purpose among participants might have led to varying levels of engagement or interest, potentially skewing the data or introducing uncontrolled variables. Thus, the findings should be interpreted cautiously and further studies may be needed in which the purpose is transparently communicated to participants.

Conclusion

The findings of this research suggest that including tactile contact, such as with real grass, may promote relaxation among Chinese individuals by improving their psychophysiological state. The empirical evidence indicated greater relaxation in this condition according to decreases in systolic and diastolic blood pressure in addition to increased alpha and gamma activity. The findings of this study underscore the therapeutic advantages of touching natural grass and its potential to enhance general well-being and mitigate stress among Chinese adults who live and work in urban settings.

Acknowledgements

We appreciate the assistance of Professors Liu Yinggao and Chen Qibing during the experiment. Additionally, we would like to express our gratitude to Zhong Ziqin, Jiang Tao, Guo Li, Mingyan Jiang, Li Nian, Lv Bing-Yang, Deng Li, Wang Min, and Wang Yanting for their support during the experiment.

Author contributions

AH oversaw the study's design, carried out the statistical analysis, and wrote the report. During the experiment, Professor ZD is in charge. The final manuscript was read and approved by all writers.

Funding

Grant No. 32071824 from the National Natural Science Foundation of China funded this study.

Availability of data and materials

Because it is confidential, the research data utilized to support the findings of this study have not been made public.

Declarations

Ethics approval and consent to participate

Written informed consent from the subject was acquired prior to the experiment. The study was approved by a local ethics committee and was conducted at Tongji University's College of Architecture and Urban Planning.

Consent for publication

Written informed consent from the subject was obtained for publishing, along with consent for the use of photos.

Competing interests

The authors affirm that they do not have any conflicts of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Ahmad Hassan, Email: ahmadhasan@tongji.edu.cn.

Zhang Deshun, Email: zds@tongji.edu.cn.

References

  • 1.Dye C. Health and urban living. Science. 2008;319(5864):766–769. doi: 10.1126/science.1150198. [DOI] [PubMed] [Google Scholar]
  • 2.Gaston KJ, Fuller RA, Loram A, MacDonald C, Power S, Dempsey N. Urban domestic gardens (XI): variation in urban wildlife gardening in the United Kingdom. Biodivers Conserv. 2007;16:3227–3238. doi: 10.1007/s10531-007-9174-6. [DOI] [Google Scholar]
  • 3.Lederbogen F, Kirsch P, Haddad L, Streit F, Tost H, Schuch P, et al. City living and urban upbringing affect neural social stress processing in humans. Nature. 2011;474(7352):498–501. doi: 10.1038/nature10190. [DOI] [PubMed] [Google Scholar]
  • 4.Ikei H, Song C, Miyazaki Y. Physiological effects of touching the wood of hinoki cypress (Chamaecyparis obtusa) with the soles of the feet. Int J Environ Res Public Health. 2018;15(10):2135. doi: 10.3390/ijerph15102135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mouratidis K. Urban planning and quality of life: A review of pathways linking the built environment to subjective well-being. Cities. 2021;115:103229. doi: 10.1016/j.cities.2021.103229. [DOI] [Google Scholar]
  • 6.Salanova M, Llorens S, Cifre E. The dark side of technologies: technostress among users of information and communication technologies. Int J Psychol. 2013;48(3):422–436. doi: 10.1080/00207594.2012.680460. [DOI] [PubMed] [Google Scholar]
  • 7.Jiang B, Schmillen R, Sullivan WC. How to waste a break: using portable electronic devices substantially counteracts attention enhancement effects of green spaces. Environ Behav. 2019;51(9–10):1133–1160. doi: 10.1177/0013916518788603. [DOI] [Google Scholar]
  • 8.Elsadek M, Liu B, Lian Z. Green façades: their contribution to stress recovery and well-being in high-density cities. Urban For Urban Green. 2019;46:126446. doi: 10.1016/j.ufug.2019.126446. [DOI] [Google Scholar]
  • 9.Hunt R, Falce C, Crombie H, Morton S, Walton E. Health update-environment and health: air pollution. London: Health Education Authority; 2000. [Google Scholar]
  • 10.Peen J, Schoevers RA, Beekman AT, Dekker J. The current status of urban-rural differences in psychiatric disorders. Acta Psychiatr Scand. 2010;121(2):84–93. doi: 10.1111/j.1600-0447.2009.01438.x. [DOI] [PubMed] [Google Scholar]
  • 11.Barton J, Rogerson M. The importance of greenspace for mental health. BJPsych Int. 2017;14(4):79–81. doi: 10.1192/S2056474000002051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kellert SR. Experiencing nature: affective, cognitive, and evaluative development in children. In: Kahn, P. H., Kellert, S. R. editors. Children and nature: psychological, sociocultural, and evolutionary investigations. Massachusetts Institute of Technology Press; 2002. p. 117–151.
  • 13.Cheng JC-H, Monroe MC. Connection to nature: Children’s affective attitude toward nature. Environ Behav. 2012;44(1):31–49. doi: 10.1177/0013916510385082. [DOI] [Google Scholar]
  • 14.Bixler RD, Floyd MF, Hammitt WE. Environmental socialization: quantitative tests of the childhood play hypothesis. Environ Behav. 2002;34(6):795–818. doi: 10.1177/001391602237248. [DOI] [Google Scholar]
  • 15.Hinds J, Sparks P. Engaging with the natural environment: the role of affective connection and identity. J Environ Psychol. 2008;28(2):109–120. doi: 10.1016/j.jenvp.2007.11.001. [DOI] [Google Scholar]
  • 16.Zhang W, Goodale E, Chen J. How contact with nature affects children’s biophilia, biophobia and conservation attitude in China. Biol Conserv. 2014;177:109–116. doi: 10.1016/j.biocon.2014.06.011. [DOI] [Google Scholar]
  • 17.Kim S-S, Park S-A, Son K-C. Improving peer relations of elementary school students through a school gardening program. HortTechnology. 2014;24(2):181–187. doi: 10.21273/HORTTECH.24.2.181. [DOI] [Google Scholar]
  • 18.Kim K-H, Park S-A. Horticultural therapy program for middle-aged women’s depression, anxiety, and self-identify. Complement Ther Med. 2018;39:154–159. doi: 10.1016/j.ctim.2018.06.008. [DOI] [PubMed] [Google Scholar]
  • 19.Han A-R, Park S-A, Ahn B-E. Reduced stress and improved physical functional ability in elderly with mental health problems following a horticultural therapy program. Complement Ther Med. 2018;38:19–23. doi: 10.1016/j.ctim.2018.03.011. [DOI] [PubMed] [Google Scholar]
  • 20.Song J, Um S, Lee J, Kwack H, Son K, editors. Effects of visual recognition of green plants on the changes of EEG in patients with schizophrenia. In: XXVI international horticultural congress: expanding roles for horticulture in improving human well-being and life quality, vol 639; 2002.
  • 21.Park S-A, Song C, Choi J-Y, Son K-C, Miyazaki Y. Foliage plants cause physiological and psychological relaxation as evidenced by measurements of prefrontal cortex activity and profile of mood states. HortScience. 2016;51(10):1308–1312. doi: 10.21273/HORTSCI11104-16. [DOI] [Google Scholar]
  • 22.Ochiai H, Ikei H, Song C, Kobayashi M, Takamatsu A, Miura T, et al. Physiological and psychological effects of forest therapy on middle-aged males with high-normal blood pressure. Int J Environ Res Public Health. 2015;12(3):2532–2542. doi: 10.3390/ijerph120302532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Chang C-Y, Chen P-K. Human response to window views and indoor plants in the workplace. HortScience. 2005;40(5):1354–1359. doi: 10.21273/HORTSCI.40.5.1354. [DOI] [Google Scholar]
  • 24.McGlone F, Vallbo AB, Olausson H, Loken L, Wessberg J. Discriminative touch and emotional touch. Can J Exp Psychol. 2007;61(3):173. doi: 10.1037/cjep2007019. [DOI] [PubMed] [Google Scholar]
  • 25.McGlone F, Wessberg J, Olausson H. Discriminative and affective touch: sensing and feeling. Neuron. 2014;82(4):737–755. doi: 10.1016/j.neuron.2014.05.001. [DOI] [PubMed] [Google Scholar]
  • 26.Chen C, Teng Z, Lu C, Hossain MA, Fang Y. Rethinking leisure tourism: from the perspective of tourist touch points and perceived well-being. SAGE Open. 2021;11(4):21582440211059180. doi: 10.1177/21582440211059180. [DOI] [Google Scholar]
  • 27.Morikawa T, Miyazaki Y, Kobayashi S. Time-series variations of blood pressure due to contact with wood. J Wood Sci. 1998;44(6):495–497. doi: 10.1007/BF00833417. [DOI] [Google Scholar]
  • 28.Sakuragawa S, Kaneko T, Miyazaki Y. Effects of contact with wood on blood pressure and subjective evaluation. J Wood Sci. 2008;54(2):107–113. doi: 10.1007/s10086-007-0915-7. [DOI] [Google Scholar]
  • 29.Lee M, Park B, Lee J, Park K, Ku J, Lee J, et al. Physiological relaxation induced by horticultural activity: transplanting work using flowering plants. J Physiol Anthropol. 2013;32(1):1–5. doi: 10.1186/1880-6805-32-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lee M, Lee J, Park B-J, Miyazaki Y. Interaction with indoor plants may reduce psychological and physiological stress by suppressing autonomic nervous system activity in young adults: a randomized crossover study. J Physiol Anthropol. 2015;34(1):1–6. doi: 10.1186/s40101-015-0060-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hassan A, Tao J, Li G, Jiang M, Aii L, Zhihui J, et al. Effects of walking in bamboo forest and city environments on brainwave activity in young adults. In: Evidence-based complementary and alternative medicine. 2018.
  • 32.Hassan A, Qibing C, Tao J. Physiological and psychological effects of gardening activity in older adults. Geriatr Gerontol Int. 2018;18(8):1147–1152. doi: 10.1111/ggi.13327. [DOI] [PubMed] [Google Scholar]
  • 33.Nishimura K, Mitsukura Y, editors. Sound quality indicating system using EEG and GMDH-type neural network. In: 2013 Asia-Pacific signal and information processing association annual summit and conference. IEEE; 2013.
  • 34.Shriram R, Sundhararajan M, Daimiwal N. EEG based cognitive workload assessment for maximum efficiency. Int Organ Sci Res IOSR. 2013;7:34–38. [Google Scholar]
  • 35.Ajiro T, Yamanouchi A, Shimomura K, Yamamoto H, Kamijo K. A method for structure analysis of EEG data. Int J Comput Sci Netw Secur. 2009;9(9):70. [Google Scholar]
  • 36.Kaur J, Kaur A, editors. A review on analysis of EEG signals. In: 2015 international conference on advances in computer engineering and applications. IEEE; 2015.
  • 37.Brookings JB, Wilson GF, Swain CR. Psychophysiological responses to changes in workload during simulated air traffic control. Biol Psychol. 1996;42(3):361–377. doi: 10.1016/0301-0511(95)05167-8. [DOI] [PubMed] [Google Scholar]
  • 38.Ulrich RS. Human responses to vegetation and landscapes. Landsc Urban Plan. 1986;13:29–44. doi: 10.1016/0169-2046(86)90005-8. [DOI] [Google Scholar]
  • 39.Ulrich RS. View through a window may influence recovery from surgery. Science. 1984;224:420–421. doi: 10.1126/science.6143402. [DOI] [PubMed] [Google Scholar]
  • 40.Kjellgren A, Buhrkall H. A comparison of the restorative effect of a natural environment with that of a simulated natural environment. J Environ Psychol. 2010;30(4):464–472. doi: 10.1016/j.jenvp.2010.01.011. [DOI] [Google Scholar]
  • 41.Kaplan R, Kaplan S. The experience of nature: a psychological perspective. Cambridge: Cambridge University Press Archive; 1989. [Google Scholar]
  • 42.Mesimäki M, Hauru K, Lehvävirta S. Do small green roofs have the possibility to offer recreational and experiential benefits in a dense urban area? A case study in Helsinki, Finland. Urban For Urban Green. 2019;40:114–124. doi: 10.1016/j.ufug.2018.10.005. [DOI] [Google Scholar]
  • 43.Milligan C, Gatrell A, Bingley A. ‘Cultivating health’: therapeutic landscapes and older people in northern England. Soc Sci Med. 2004;58(9):1781–1793. doi: 10.1016/S0277-9536(03)00397-6. [DOI] [PubMed] [Google Scholar]
  • 44.Russo A, Andreucci MB. Raising healthy children: promoting the multiple benefits of green open spaces through biophilic design. Sustainability. 2023;15(3):1982. doi: 10.3390/su15031982. [DOI] [Google Scholar]
  • 45.Harutyunyan M. Exploring the rich tapestry of gardens and parks: a journey through history, education, and artistic expressions. Indones J Multidicip Res. 2023;3(2):403–416. [Google Scholar]
  • 46.Gumprecht B. The campus as a public space in the American college town. J Hist Geogr. 2007;33(1):72–103. doi: 10.1016/j.jhg.2005.12.001. [DOI] [Google Scholar]
  • 47.Edla DR, Mangalorekar K, Dhavalikar G, Dodia S. Classification of EEG data for human mental state analysis using Random Forest Classifier. Procedia Comput Sci. 2018;132:1523–1532. doi: 10.1016/j.procs.2018.05.116. [DOI] [Google Scholar]
  • 48.Ali A, Afridi R, Soomro TA, Khan SA, Khan MYA, Chowdhry BS. A single-channel wireless EEG headset enabled neural activities analysis for mental healthcare applications. Wirel Pers Commun. 2022;125(4):3699–3713. doi: 10.1007/s11277-022-09731-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Bhargavi R, Dayal HS, Sankpal K, editors. Emotion classification using single-channel EEG. In: 2019 international conference on computing, power and communication technologies (GUCON). IEEE; 2019.
  • 50.Sałabun W. Processing and spectral analysis of the raw EEG signal from the MindWave. Prz Elektrotech. 2014;90(2):169–174. [Google Scholar]
  • 51.Du Q, Liu H, Yang C, Chen X, Zhang X. The development of a short Chinese version of the State-Trait Anxiety Inventory. Front Psych. 2022;13:854547. doi: 10.3389/fpsyt.2022.854547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Osgood CE, Suci GJ, Tannenbaum PH. The measurement of meaning. Champaign: University of Illinois Press; 1957. [Google Scholar]
  • 53.Hassan A, Deshun Z. Better nature: improved interactions with nature may reduce psychophysiological stress in Chinese adults. HortScience. 2023;58(7):779–784. doi: 10.21273/HORTSCI17219-23. [DOI] [Google Scholar]
  • 54.Hassan A, Qibing C, Tao J, Bing-Yang L, Nian L, Li S, et al. Effects of plant activity on mental stress in young adults. HortScience. 2018;53(1):104–109. doi: 10.21273/HORTSCI12447-17. [DOI] [Google Scholar]
  • 55.Al Sairafi M, Alshamali K, Anwar A-R. Effect of physical activity on controlling blood pressure among hypertensive patients from Mishref area of Kuwait. Eur J Gen Med. 2010;7(4):377–384. [Google Scholar]
  • 56.Knowles G, Pallan M, Thomas GN, Ekelund U, Cheng KK, Barrett T, et al. Physical activity and blood pressure in primary school children: a longitudinal study. Hypertension. 2013;61(1):70–75. doi: 10.1161/HYPERTENSIONAHA.112.201277. [DOI] [PubMed] [Google Scholar]
  • 57.Jing H, Takigawa M. Topographic analysis of dimension estimates of EEG and filtered rhythms in epileptic patients with complex partial seizures. Biol Cybern. 2000;83(5):391–397. doi: 10.1007/s004220000183. [DOI] [PubMed] [Google Scholar]
  • 58.Başar E. A review of alpha activity in integrative brain function: fundamental physiology, sensory coding, cognition and pathology. Int J Psychophysiol. 2012;86(1):1–24. doi: 10.1016/j.ijpsycho.2012.07.002. [DOI] [PubMed] [Google Scholar]
  • 59.Nakamura R, Fujii E. Studies of the characteristics of the electroencephalogram when observing potted plants: Pelargonium hortorum “Sprinter Red” and Begonia evansiana. Tech Bull Faculty Horticult Chiba Univer. 1990;43(1):177–183. [Google Scholar]
  • 60.Nakamura R. A comparative study on the characteristics of electroencephalogram inspecting a hedge and a concrete block fence (生垣とブロック塀をみたときの脳波特性の比較) J Jpn Inst Landsc Archit. 1992;55:139–144. [Google Scholar]
  • 61.Schwabedal JT, Riedl M, Penzel T, Wessel N. Alpha-wave frequency characteristics in health and insomnia during sleep. J Sleep Res. 2016;25(3):278–286. doi: 10.1111/jsr.12372. [DOI] [PubMed] [Google Scholar]
  • 62.Olszewska-Guizzo A, Sia A, Fogel A, Ho R. Can exposure to certain urban green spaces trigger frontal alpha asymmetry in the brain? Preliminary findings from a passive task EEG study. Int J Environ Res Public Health. 2020;17(2):394. doi: 10.3390/ijerph17020394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Kostyunina M, Kulikov M. Frequency characteristics of EEG spectra in the emotions. Neurosci Behav Physiol. 1996;26(4):340–343. doi: 10.1007/BF02359037. [DOI] [PubMed] [Google Scholar]
  • 64.Kim SC, Lee MH, Jang C, Kwon JW, Park JW. The effect of alpha rhythm sleep on EEG activity and individuals’ attention. J Phys Ther Sci. 2013;25(12):1515–1518. doi: 10.1589/jpts.25.1515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Thompson L, Thompson M. Neurofeedback intervention for adults with ADHD. J Adult Dev. 2005;12(2–3):123–130. doi: 10.1007/s10804-005-7028-6. [DOI] [Google Scholar]
  • 66.Reece R, Bornioli A, Bray I, Alford C. Exposure to green and historic urban environments and mental well-being: results from EEG and psychometric outcome measures. Int J Environ Res Public Health. 2022;19(20):13052. doi: 10.3390/ijerph192013052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Jenkins S, Brown R, editors. A correlational analysis of human cognitive activity using Infrared Thermography of the supraorbital region, frontal EEG and self-report of core affective state. In: Proceedings of the 2014 international conference on quantitative InfraRed thermography; 2014.
  • 68.Sanei S, Chambers JA. EEG signal processing. London: Wiley; 2013. [Google Scholar]
  • 69.Miller KJ, Hermes D, Honey CJ, Hebb AO, Ramsey NF, Knight RT, et al. Human motor cortical activity is selectively phase-entrained on underlying rhythms. PLoS Comput Biol. 2012 doi: 10.1371/journal.pcbi.1002655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Grassini S, Revonsuo A, Castellotti S, Petrizzo I, Benedetti V, Koivisto M. Processing of natural scenery is associated with lower attentional and cognitive load compared with urban ones. J Environ Psychol. 2019;62:1–11. doi: 10.1016/j.jenvp.2019.01.007. [DOI] [Google Scholar]
  • 71.Gola M, Magnuski M, Szumska I, Wróbel A. EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects. Int J Psychophysiol. 2013;89(3):334–341. doi: 10.1016/j.ijpsycho.2013.05.007. [DOI] [PubMed] [Google Scholar]
  • 72.Lee B-G, Lee B-L, Chung W-Y. Mobile healthcare for automatic driving sleep-onset detection using wavelet-based EEG and respiration signals. Sensors. 2014;14(10):17915–17936. doi: 10.3390/s141017915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Qi Y, Chen Q, Lin F, Liu Q, Zhang X, Guo J, et al. Comparative study on birdsong and its multi-sensory combinational effects on physio-psychological restoration. J Environ Psychol. 2022;83:101879. doi: 10.1016/j.jenvp.2022.101879. [DOI] [Google Scholar]
  • 74.Dögl I. EEG in clinical practice: a pilot study of relationships between delta band activity and level of function in a children and adolescents psychiatry population. Trondheim: NTNU; 2020. [Google Scholar]
  • 75.Hu W, Huang G, Li L, Zhang L, Zhang Z, Liang Z. Video-triggered EEG-emotion public databases and current methods: a survey. Brain Sci Adv. 2020;6(3):255–287. doi: 10.26599/BSA.2020.9050026. [DOI] [Google Scholar]
  • 76.Ko L-W, Su C-H, Yang M-H, Liu S-Y, Su T-P. A pilot study on essential oil aroma stimulation for enhancing slow-wave EEG in sleeping brain. Sci Rep. 2021;11(1):1078. doi: 10.1038/s41598-020-80171-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Perl O, Arzi A, Sela L, Secundo L, Holtzman Y, Samnon P, et al. Odors enhance slow-wave activity in non-rapid eye movement sleep. J Neurophysiol. 2016;115(5):2294–2302. doi: 10.1152/jn.01001.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Gruzelier J. A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cogn Process. 2009;10(Suppl 1):101–109. doi: 10.1007/s10339-008-0248-5. [DOI] [PubMed] [Google Scholar]
  • 79.Sammler D, Grigutsch M, Fritz T, Koelsch S. Music and emotion: electrophysiological correlates of the processing of pleasant and unpleasant music. Psychophysiology. 2007;44(2):293–304. doi: 10.1111/j.1469-8986.2007.00497.x. [DOI] [PubMed] [Google Scholar]
  • 80.Rowan AJ, Tolunsky E. Primer of EEG: with a mini-atlas. (No Title). 2003.
  • 81.Jeong J-E, Park S-A. Physiological and psychological effects of visual stimulation with green plant types. Int J Environ Res Public Health. 2021;18(24):12932. doi: 10.3390/ijerph182412932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Lutz A, Greischar LL, Rawlings NB, Ricard M, Davidson RJ. Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proc Natl Acad Sci. 2004;101(46):16369–16373. doi: 10.1073/pnas.0407401101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Chien J-H, Liu C-C, Kim JH, Markman TM, Lenz FA. Painful cutaneous laser stimuli induce event-related oscillatory EEG activities that are different from those induced by nonpainful electrical stimuli. J Neurophysiol. 2014;112(4):824–833. doi: 10.1152/jn.00209.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Data Availability Statement

Because it is confidential, the research data utilized to support the findings of this study have not been made public.


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