Human Mood Research Articles

Supplementation with whey peptide rich in β-lactolin improves trait anxiety and subjective stress in healthy adults: a randomized, double-blind, placebo-controlled study.

Mental disorders have become one of the most burdensome health concerns. We have previously demonstrated that whey-derived β-lactolin (glycine-thereonine-tryptophan-tyrosine tetrapeptide) activates dopaminergic systems and improves psychiatric function in rodents. However, the effects of β-lactolin on human mood states have not been investigated. This randomized, double-blind, placebo-controlled study aimed to evaluate the effects of supplementation with β-lactolin-rich whey peptide on human mood states. Sixty healthy adults (aged 45-64 years) with relatively low psychological health were randomly allocated to receive either whey peptide (containing β-lactolin 1.6mg/day) or placebo for 6 weeks. Mood states (primary outcomes) were evaluated using self-reporting questionnaires. Health-related quality of life (QOL), salivary stress marker and lipid mediator levels were evaluated as secondary outcomes. Compared with placebo, supplementation with β-lactolin improved changes in trait anxiety (p = 0.046), as assessed using the state-trait anxiety inventory, and in subjective stress (p = 0.043), as assessed using the Perceived Stress Scale. In the assessment of QOL, changes in the vitality subscale and mental health summary score of the 36-Item Short-Form Health Survey were improved in the β-lactolin group. The levels of salivary immunoglobulin A were significantly higher in the β-lactolin group. In a subgroup analysis by median age (54.5 years), subjective stress and salivary prostaglandin levels were significantly decreased by β-lactolin supplementation in the 45-54 -year-old subgroup. In conclusion, supplementation with β-lactolin improves trait anxiety, subjective stress, and psychological QOL, which may be associated with immunologic responses detected via salivary analysis.

Relationship between sun exposure and seasonal affective disorder symptoms in rural older people with different personalities: a cross-sectional study

ObjectivesEvidence suggests that environmental support, personality traits, and psychological factors can influence seasonal changes in human mood and behavior, particularly in rural middle-aged women and older people. This study aimed to quantify the associations between personality traits, seasonal affective disorder symptoms, and sun exposure in rural older people.MethodsThis study is a cross-sectional analytical study, the participants were 300 rural older persons from 12 natural villages and 5 geriatric service centers in 4 different cities in Jiangxi Province, China. The Eysenck Personality Questionnaire (EPQ), the Personal Inventory of Depression and Seasonal Affective Disorder (PIDS-SA-SimpChi), and the Sunlight Exposure Scale were used to conduct follow-up interviews throughout the year. Spatial analysis was performed using ArcGIS and Geodetic Probes. The data were analyzed using SPSS 21 and Amos 23.0 mediated models.ResultsRural older people with low sun exposure exhibited higher personality trait scores (p < 0.001). Personality traits were directly associated with seasonal affective disorder symptoms(p < 0.01); Sun exposure mediated this effect in rural older people (p < 0.05).ConclusionHigh-scoring personalities are more typical of rural older people with low sun exposure, and there is a greater risk of emotional and behavioral instability. Latitudinal differences are not a determinant of SAD. Increased sun exposure is associated with symptom relief. The promotion of light therapy devices in rural areas with low sunlight is warranted.

Distinct synaptic mechanisms drive the behavioral response to acute stress and rapid correction by ketamine

Prevailing hypotheses on the mechanisms of antidepressant action posit that antidepressants directly counteract deficiencies in major neurotransmitter signaling systems that underlie depression. The rapidly acting antidepressant ketamine has been postulated to correct excess glutamatergic signaling via glutamatergic antagonism leading to the rescue of neuronal structural deficits and reversal of behavioral symptoms. We studied this premise using systemic administration of the acetylcholinesterase inhibitor physostigmine, which has been shown to rapidly elicit a shorter-term period of depressed mood in humans via cholinergic mechanisms. We observed that physostigmine induces acute stress in tandem with long term depression of glutamate release in the hippocampus of mice. However, ketamine rapidly acts to re-establish glutamatergic synaptic efficacy via postsynaptic signaling and behaviorally masks the reduction in passive coping induced by physostigmine. These results underscore the divergence of synaptic signaling mechanisms underlying mood changes and antidepressant action and highlight how distinct synaptic mechanisms may underlie neuropsychiatric disorders versus their treatment.

WNKs regulate mouse behavior and alter central nervous system glucose uptake and insulin signaling.

Certain areas of the brain involved in episodic memory and behavior, such as the hippocampus, express high levels of insulin receptors and glucose transporter-4 (GLUT4) and are responsive to insulin. Insulin and neuronal glucose metabolism improve cognitive functions and regulate mood in humans. Insulin-dependent GLUT4 trafficking has been extensively studied in muscle and adipose tissue, but little work has demonstrated either how it is controlled in insulin-responsive brain regions or its mechanistic connection to cognitive functions. In this study, we demonstrate that inhibition of WNK (With-No-lysine (K)) kinases improves learning and memory in mice. Neuronal inhibition of WNK enhances in vivo hippocampal glucose uptake. Inhibition of WNK enhances insulin signaling output and insulin-dependent GLUT4 trafficking to the plasma membrane in mice primary neuronal cultures and hippocampal slices. Therefore, we propose that the extent of neuronal WNK kinase activity has an important influence on learning, memory and anxiety-related behaviors, in part, by modulation of neuronal insulin signaling.

Bifidobacterium breve M-16V regulates the autonomic nervous system via the intestinal environment: A double-blind, placebo-controlled study

We conducted a randomized controlled trial to investigate the potential of Bifidobacterium breve M-16 V to improve mood in humans. In this evaluation, we incorporated the use of near-infrared spectroscopy (NIRS), which has been used to evaluate mood states in studies with small sample sizes. Participants were given B. breve M-16 V (20 billion cells/day) for 6 weeks, and their mood state was assessed before and after ingestion. NIRS data were collected at rest and during a mental arithmetic task (under stress). Intake of B. breve M-16 V decreased the heart rate under stress and increased levels of the GABA-like substance pipecolic acid in stool samples. In addition, B. breve M-16 V improved mood and sleep scores in participants with high anxiety levels. These results suggest that B. breve M-16 V affects the metabolites of the gut microbiota and has the potential to modulate the autonomic nervous system and to improve mood and sleep.

Investigating human experiences and perceptions of unmounted activities commonly practiced in equine-assisted services

Abstract Equine-assisted services (EAS) are known to be beneficial for participants, though factors that influence their in-session experiences of horse-human interactions (HHI) remain underexplored. A mixed-methods, repeated measures design was used to investigate relationships between unmounted activities and human mood state, their activity enjoyment, and their perceptions of the horse they interacted with. We aimed to determine if participants’ ( n = 56) reported mood states reflected their behavior toward the EAS horses ( n = 14) across activity conditions. Horses and humans completed three activity conditions: grooming, leading the horse, and leading the horse around a maze. To assess participants’ mood states throughout the interaction, we measured participants’ mood states before the interaction began and after each activity. A post-interaction survey was used to assess participants’ enjoyment of each activity and the influence of certain horse characteristics on their experience. All interaction activities were filmed for analysis of human behavior. Results from two logistic regression models suggest that activity type was not significantly associated with the arousal ( p = 0.09) or valence ( p = 0.70) of participants’ reported mood states; however, a trend in the post hoc comparisons indicated participants were more likely to report an activated mood state before the interaction began compared to after the first activity (i.e., post-groom) (OR: 3.15, CI: 7.79−1.28, p = 0.013). Most participants ( n = 46/54) reported pleasant moods throughout the interactions, although qualitative results suggest participants experienced a wider range of affective states. Participant behavior supported their reported pleasant mood as most behaviors across conditions were affiliative toward the horse. These results identify factors that influence human experiences when interacting with horses that are incorporated into EAS.

Recognition of human mood, alertness and comfort under the influence of indoor lighting using physiological features

Light is an essential and vital component of indoor environments, and it has both visual and non-visual effects on the human body. Illuminance and correlated colour temperature (CCT) have been reported to be closely related to human mood, alertness, and comfort. Recent research has focused on subjective feelings, test results, and transient physiological indicators; however, few studies have used continuous physiological data to explore the physiological features along with light parameters associated with subjective feelings. In this paper, we conducted light experiments at six illuminance levels of functional lighting (300, 400, 500, 600, 700, and 800 lx) and four typical CCT levels (3000, 4000, 5000, and 6000 K) to analyse the light effects on users’ mood, alertness, and visual comfort. The results showed that both illuminance and CCT significantly affected subjective perception. Notably, subjective feelings under the influence of the light environment were evaluated using the CatBoost method through 41 columns of physiological features extracted from electrocardiogram (ECG), electrodermal activity (EDA), skin temperature (SKT) and blood oxygen saturation (SpO2) data. The average accuracy values of the recognition framework for binary classification proposed in this study were 97.4% for the valence of mood, 95.7% for the arousal of mood, 97.1% for alertness, and 97.3% for visual comfort (all standard deviations were less than 2.5%). The research results can help intelligent buildings sense changes in human feelings and adjust control systems to construct human-centred indoor environments for work and study, as well as provide a reference of physiological features for personalised user experience research.

Do cows see the forest or the trees? A preliminary investigation of attentional scope as a potential indicator of emotional state in dairy cows housed with their calves.

A positive mood in humans tends to broaden attentional scope while negative mood narrows it. A similar effect may be present in non-human animals; therefore, attentional scope may be a novel method to assess emotional states in livestock. In this proof-of-concept exploratory study, we examined the attentional scope of dairy cows housed with their calves either full-time, part-time (during daytime only), or with no calf contact (enrolled n = 10 each). Housing conditions were previously verified to induce differences in positive and negative emotional state, where part-time was considered more negative. Cows were trained to approach or avoid hierarchical images on a screen that were consistent in local and global elements (i.e., 13 small circles or crosses arranged in an overall circle or cross). After discrimination learning (>80% correct, over two consecutive days), 14 cows proceeded to test (n = 6 each full-and part-time; n = 2 no-contact, not analyzed). Test images showed inconsistent combinations of global and local elements (i.e., the overall global shape differs from the smaller local elements, such as a global circle composed of smaller local crosses and vice versa). Over two test days, approach responses to global and local images (each presented four times) were recorded. All cows were more likely to approach the local than the global image, especially part-time cows who never approached the global image; this may reflect a narrowed attentional scope in these cows. Full-time cows approached images more often than part-time cows, but overall response rates to global and local images were low, making specific conclusions regarding attentional scope difficult. Different housing conditions have potential to affect attentional scope, and possibly emotional state, of dairy cows, but statistical comparison to no-contact treatment was not possible. Cortisol concentration did not affect responses to images; thus arousal due to treatment or test conditions could not explain test performance. Further work with refined methodology and a larger sample size is required to validate the reliability of attentional scope as an assessment method of emotional state in cattle. Beyond this, the attentional scope test revealed how cattle may process, learn and respond to different visual hierarchical images, which further our understanding of cognitive and visual processes in cattle.

Chronic jet lag reduces motivation and affects other mood-related behaviors in male mice.

Introduction: The circadian system regulates various physiological processes such as sleep-wake cycles, hormone secretion, metabolism, and the reaction to both natural and drug-based rewards. Chronic disruption of the circadian system caused by unsteady synchronization with light-dark (LD) schedules, such as advancing chronic jet lag (CJL), leads to adverse physiological effects and pathologies, and is linked with changes in mood and depressive behaviors in humans and rodent models. Methods: C57BL/6J male mice were subjected to circadian disruption through phase advances of 6h every 2days (CJL +6/2). Mice under 12:12-h LD cycle were used as controls. After 8weeks under these conditions, a battery of behavioral tests was performed to assess if mood-related behaviors were affected. Results: Compared to controls under 24h LD cycles, mice under CJL presented desynchronization of activity-rest rhythms that led to several behavioral impairments, including a decrease in motivation for food reward, and an increase in anxiety, anhedonia, and depressive-like behavior. Conclusion: Chronic circadian disruption, caused by an experimental CJL protocol, affects mood-related and reward-related behaviors in mice. Understanding the importance of the circadian system and its potential role for disruption due to CJL is important for maintaining good health and well-being.

Effects of Supplementation with the Standardized Extract of Saffron (affron®) on the Kynurenine Pathway and Melatonin Synthesis in Rats.

Melatonin is a hormone that regulates sleep-wake cycles and is mainly synthesized in the pineal gland from tryptophan after its conversion into serotonin. Under normal conditions, less than 5% of tryptophan is reserved for the synthesis of serotonin and melatonin. The remaining 95% is metabolized in the liver through the kynurenine pathway. Increased levels of proinflammatory cytokines and cortisol increase the metabolism of tryptophan through the kynurenine pathway and reduce its availability for the synthesis of melatonin and serotonin, which may cause alterations in mood and sleep. The standardized saffron extract (affron®) has shown beneficial effects on mood and sleep disorders in humans, but the underlying mechanisms are not well understood. Thus, the aim of this work was to study the effects of affron® supplementation on the kynurenine pathway and the synthesis of melatonin in rats. For this purpose, adult male Wistar rats were supplemented for 7 days with 150 mg/kg of affron® or vehicle (2 mL/kg water) administered by gavage one hour before sleep. Affron® supplementation reduced body weight gain and increased the circulating levels of melatonin, testosterone, and c-HDL. Moreover, animals supplemented with affron® showed decreased serum levels of kynurenine, ET-1, and c-LDL. In the pineal gland, affron® reduced Il-6 expression and increased the expression of Aanat, the key enzyme for melatonin synthesis. In the liver, affron® administration decreased the mRNA levels of the enzymes of the kynurenine pathway Ido-2, Tod-2, and Aadat, as well as the gene expression of Il-1β and Tnf-α. Finally, rats treated with affron® showed increased mRNA levels of the antioxidant enzymes Ho-1, Sod-1, Gsr, and Gpx-3, both in the liver and in the pineal gland. In conclusion, affron® supplementation reduces kynurenine levels and promotes melatonin synthesis in rats, possibly through its antioxidant and anti-inflammatory effects, making this extract a possible alternative for the treatment and/or prevention of mood and sleep disorders.

Owner’s Perceptions and Experiences with Cat Behavior and Care: A Survey

This is a quantitative observational and survey research study of social interactions between domestic cats and humans in their home environment. Only statistically analysed data is included, and hypotheses are tested. In other situations, observational data has been paired with subjective judgements of the animals' character and owner personality qualities acquired independently by the owners to help interpret the data. All of the social interactions between cats and humans detailed here imply that the animals were socialised with people as kittens. Such socialised cats exhibit "friendliness to humans," which affects human attachment to the cat. People can sense the visual and aural behavioural characteristics needed to communicate and engage with other cats, and the cats use them while engaging with them. The initiation and initiator of social interactions between cats and humans have been demonstrated to influence both the duration of the interaction phase and the total interaction time in the relationship. Compliance with the partner's interactional "wishes" is positively associated between cats and humans in all human cat dyads studied. Cats do not spontaneously choose one gender or age cohort of people, but the humans in those cohorts behave differently from the cats, causing the latter to react differently. The dyadic interaction pattern has also been demonstrated to differ between men and women, as well as between older and younger people. Nonetheless, cats not just their presence but also their behavior alter human moods, and human mood differences have been found to affect cat behavior. Finally, owners' thoughts and experiences contribute to positive relationships and care for their cats.

Learned Helplessness As a Potential Transdiagnostic Therapeutic Mechanism of Classic Psychedelics

Background: Emerging literature suggests that classic psychedelics may have efficacy in treating mood and substance use disorders in humans. This has raised questions regarding the primary therapeutic mechanism of these compounds. Here, we hypothesize that the reversal of and resilience against learned helplessness may be an important driver of the therapeutic mechanisms of classic psychedelics. Furthermore, we argue that the learned helplessness paradigm can provide a robust model to investigate the behavioral and mechanistic effects of classic psychedelics in both clinical and preclinical experiments. Opinion: We highlight the learned helplessness model and its potential utility in the psychedelic sphere for several reasons. First, learned helplessness is a robust phenomenon observed across multiple mammalian species including humans, and has been well described in terms of its neurobiology, behavioral effects, and clinical implications; current efforts in psychedelic research and theories of psychedelic mechanisms have yet to achieve this level of integration. Interestingly, there is substantial overlap in the neural circuits governing resilience against learned helplessness and psychedelic actions—such as those involving the dorsal raphe nucleus. Furthermore, our hypothesis that classic psychedelics can reverse helplessness behavior fits with much of the current preclinical data, which has shown that psychedelics improve performance in behavioral despair tasks in rodents. Here we make the case for bringing attention to these congruencies in an effort to advance toward mechanistic, behavioral, and transdiagnostic insights into the therapeutic effects of classic psychedelics, with the potential for learned helplessness to help explain some positive effects across levels of analysis.

Art carpet weaving is one of the forces that lifts the human mood

Art carpet weaving is one of the forces that lifts the human mood

Art carpet weaving is one of the forces that lifts the human mood

Art carpet weaving is one of the forces that lifts the human mood

Solfeggio-frequency music exposure reverses cognitive and endocrine deficits evoked by a 24-h light exposure in adult zebrafish

Music therapy has long been used as a non-pharmacological intervention to improve cognitive function and mood in humans. Mounting rodent evidence also supports beneficial impact of music exposure on animal cognitive performance. The zebrafish (Danio rerio) is an important emerging aquatic animal model in translational biomedical and neuroscience research. Here, we evaluate the effects of intermittent (2-h or 6-h twice daily) and continuous (24-h) solfeggio-frequency music exposure on behavioral, cognitive and endocrine parameters in adult zebrafish whose circadian rhythm was disturbed by a 24-h light exposure. Overall, a 24-h light exposure stress evokes overt cognitive deficits in the inhibitory avoidance test and elevates zebrafish whole-body cortisol levels. However, these effects were reversed by solfeggio-frequency music exposure for 2 or 6 h twice daily, and by continuous 24-h exposure. Collectively, these findings suggest a positive modulation of cognitive and endocrine responses in adult zebrafish by environmental enrichment via the long-term exposure to music, and reinforces zebrafish as a robust, sensitive model organism for neurocognitive and neuroendocrine research.

Facial Emotion Recognition

Abstract: Facial Emotion Recognition plays a significant role in interacting with computers which help us in various fields like medical processes, to present content on the basis of human mood, security and other fields. It is challenging because of heterogeneity in human faces, lighting, orientation, poses and noises. This paper aims to improve the accuracy of facial expression recognition. There has been much research done on the fer2013 dataset using CNN (Convolution Neural Network) and their results are quite impressive. In this work we performed CNN on the fer2013 dataset by adding images to improve the accuracy. To our best knowledge, our model achieves the accuracy of 70.23 % on fer2013 dataset after adding images in training and testing parts of disgusted class.

Combination of poly-γ-glutamic acid and galactooligosaccharide improves intestinal microbiota, defecation status, and relaxed mood in humans: a randomized, double-blind, parallel-group comparison trial.

The genus Bifidobacterium comprises beneficial intestinal bacteria that play a crucial role in the regulation of human health. Traditional prebiotics are known to increase intestinal bifidobacteria by supplying a carbon source necessary for their growth. However, intestinal bifidobacteria need not only a carbon source but also a nitrogen source for growth. Moreover, the growth of bifidobacteria is known to be inhibited in a culture medium that does not contain glutamic acid. Based on these reports, we hypothesized that the combined intake of traditional prebiotics and glutamic acid would be beneficial for growth of bifidobacteria in the gut. In this study, we investigated the effects of the combination of galactooligosaccharide (GOS; traditional prebiotic material) and poly-γ-glutamic acid (γ-PGA; source of glutamic acid) and only GOS on the intestinal microbiota and health conditions (including intestinal regulation, mood status, gastrointestinal condition, skin condition, and sleep quality) in a randomized, double-blind, parallel-group comparison trial in healthy subjects. The combined intake of GOS and γ-PGA significantly increased the prevalence of B. longum compared to the intake of GOS alone. A minimum effective dose of 2.0 g GOS and 0.3 g γ-PGA improved defecation and mood status. We revealed the combined effects of GOS and γ-PGA on intestinal microbiota as well as physical condition and concluded that the delivery of glutamic acid to the large intestine with traditional prebiotics is useful as an advanced prebiotic.

Adrenoceptors: A Focus on Psychiatric Disorders and Their Treatments.

Research into the involvement of adrenoceptor subtypes in the cause(s) of psychiatric disorders is particularly challenging. This is partly because of difficulties in developing animal models that recapitulate the human condition but also because no evidence for any causal links has emerged from studies of patients. These, and other obstacles, are outlined in this chapter. Nevertheless, many drugs that are used to treat psychiatric disorders bind to adrenoceptors to some extent. Direct or indirect modulation of the function of specific adrenoceptor subtypes mediates all or part of the therapeutic actions of drugs in various psychiatric disorders. On the other hand, interactions with central or peripheral adrenoceptors can also explain their side effects. This chapter discusses both aspects of the field, focusing on disorders that are prevalent: depression, schizophrenia, anxiety, attention-deficit hyperactivity disorder, binge-eating disorder, and substance use disorder. In so doing, we highlight some unanswered questions that need to be resolved before it will be feasible to explain how changes in the function of any adrenoceptor subtype affect mood and behavior in humans and other animals.

Modeling of human mood states from voice using adaptively tuned neuro-fuzzy inference system

In this article, an attempt is made to model angry, happy, and neutral human mood states by adaptively tuning the Neuro-fuzzy Inference system for efficient characterization. The algorithm is self-tunable and can provide low-cost and robust solutions to many complex physical world problems. Such analysis can provide crucial inputs to many vivid application domains such as security organization, bio-medical engineering, computer tutors, call centers, banking and finance sectors, criminal investigations, etc. for effective functioning and control. The Surrey Audio-Visual Expressed Emotions (SAVEE) database has been chosen to procure the utterances corresponding to the chosen mood states. Initially, several feature vectors have been extracted that comprise Spectral Rolloff, Spectral Centroid, Spectral flux, Log Energy, Fundamental frequency, Jitter, and Shimmer to develop the desired models. The resultant Adaptive Neuro-Fuzzy Inference (ANFIS) algorithm can distinguish the chosen states based on the simulation models as revealed by the results. Performance measures such as the Root Mean Square Error at the start, convergence, minimal, checking, training, and testing have been investigated to validate the model performances.

Human Emotion Recognition using Deep Learning with Special Emphasis on Infant’s Face

This paper discusses a deep learning-based image processing method to recognize human emotion from their facial expression with special concentration on infant’s face between one to five years of age. The work has importance because most of the time it becomes necessary to understand need of a child from their facial expression and behavior. This work is still a challenge in the field of Human Facial Emotion Recognition due to confusing facial expression that sometimes found in some of the samples. We have tried to recognize any facial expression into one of the mostly understood human mood namely Angry, Disgust, Fear, Happy, Sad, Surprise and Neutral. For this purpose, we have trained an image classifier with Convolutional Neural Network with Kaggle's Fer2013 Dataset. After the completion of the project, we achieved good accuracy in most of the prominent emotions by testing with 20 random images for each emotion.