Mood In Individuals Research Articles

Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects

BackgroundPsilocin, the neuroactive metabolite of psilocybin, is a serotonergic psychedelic that induces an acute altered state of consciousness, evokes lasting changes in mood and personality in healthy individuals, and has potential as an antidepressant treatment. Examining the acute effects of psilocin on resting-state time-varying functional connectivity implicates network-level connectivity motifs that may underlie acute and lasting behavioral and clinical effects. AimEvaluate the association between resting-state time-varying functional connectivity (tvFC) characteristics and plasma psilocin level (PPL) and subjective drug intensity (SDI) before and right after intake of a psychedelic dose of psilocybin in healthy humans. MethodsFifteen healthy individuals completed the study. Before and at multiple time points after psilocybin intake, we acquired 10-minute resting-state blood-oxygen-level-dependent functional magnetic resonance imaging scans. Leading Eigenvector Dynamics Analysis (LEiDA) and diametrical clustering were applied to estimate discrete, sequentially active brain states. We evaluated associations between the fractional occurrence of brain states during a scan session and PPL and SDI using linear mixed-effects models. We examined associations between brain state dwell time and PPL and SDI using frailty Cox proportional hazards survival analysis. ResultsFractional occurrences for two brain states characterized by lateral frontoparietal and medial fronto-parietal-cingulate coherence were statistically significantly negatively associated with PPL and SDI. Dwell time for these brain states was negatively associated with SDI and, to a lesser extent, PPL. Conversely, fractional occurrence and dwell time of a fully connected brain state partly associated with motion was positively associated with PPL and SDI. ConclusionOur findings suggest that the acute perceptual psychedelic effects induced by psilocybin may stem from drug-level associated decreases in the occurrence and duration of lateral and medial frontoparietal connectivity motifs. We apply and argue for a modified approach to modeling eigenvectors produced by LEiDA that more fully acknowledges their underlying structure. Together these findings contribute to a more comprehensive neurobiological framework underlying acute effects of serotonergic psychedelics.

Differential contributions of depression, apathy, and anxiety to neuropsychological performance in Parkinson’s disease versus essential tremor

ABSTRACT Introduction Mood symptoms are common features of Parkinson’s disease (PD) and essential tremor (ET) and have been linked to worse cognition. The goals of the present study were to compare the severity of anxiety, apathy, and depressive symptoms in PD, ET, and healthy controls (HC) and to examine differential relationships between mood and cognition. Method Older adults with idiopathic PD (N = 448), ET (N = 128), or HC (N = 136) completed a multi-domain neuropsychological assessment consisting of memory, executive function, and attention/working memory domains. Participants also completed self-reported mood measures. Between-group differences in mood and cognition were assessed, and hierarchical regression models were conducted to examine relationships between mood and cognition in each group. Results Relative to the HC group, the PD and ET groups reported more mood symptoms and scored lower across all cognitive measures. There were no differences between the two movement disorder groups. Mood variables explained 3.9–13.7% of the total variance in cognitive domains, varying by disease group. For PD, apathy was the only unique predictor of executive function (β = −.114, p = .05), and trait anxiety was the only unique predictor of attention/working memory (β = −.188, p < .05). For ET, there were no unique predictors, though the overall models significantly predicted performance in the executive function and attention/working memory domains. Conclusions In a large cohort of ET and PD, we observed that the two groups had similar self-reported mood symptoms. Mood symptoms were differentially associated with cognition in PD versus ET. In PD, increased apathy was associated with worse executive function and higher trait anxiety predicted worse attention/working memory. For ET, there were no unique predictors, though the overall mood symptom severity was related to cognition. Our study highlights the importance of considering the relationship between mood and neuropsychological performance in individuals with movement disorders.

Influência da estratégia de Estimulação Auditiva Rítmica com música associada à fisioterapia sobre os sintomas depressivos no Parkinson

ABSTRACT Depressive symptoms are commonly found in Parkinson’s disease and are considered an important factor for an individual’s poor quality of life and disability. Therapeutic interventions based on rhythm and music, such as rhythmic auditory stimulation, have been used to treat the mobility and seem to positively influence on mood. This study aims to evaluate the effect of rhythmic auditory stimulation using music associated with physical therapy on mood in individuals with Parkinson’s, with an emphasis on depressive symptoms. This is a quasi-experimental study with a final sample of 18 patients aged 40-80 years, with a clinical diagnosis of idiopathic Parkinson’s disease, in the mild to moderate stages of the disease. Patients were randomized into two groups: Rhythmic Auditory Stimulation and Control Groups. Depressive symptoms were assessed using the Portuguese version of the Beck Depression Inventory. Both groups reduced their The Beck Depression Inventory scores. However, only in the Rhythmic Auditory Stimulation Group the reduction was significant, with a mean difference in the inventory score three times greater than the Control Group.

Effects of probiotic and magnesium co-supplementation on mood, cognition, intestinal barrier function and inflammation in individuals with obesity and depressed mood: A randomized, double-blind placebo-controlled clinical trial.

BackgroundThe co-occurrence of obesity and mood impairments named as “metabolic mood syndrome” (MMS) is often neglected in the obesity management. This study aimed to evaluate effects of Probio-Tec ®BG-VCap-6.5 and magnesium co-supplementation on mood, cognition, intestinal barrier function and serum C reactive protein (CRP) levels in participants with obesity and depressed mood.DesignSeventy-four eligible participants were randomly allocated to either Probio-Tec®BG-VCap-6.5 [containing Lactobacillus rhamnosus (LGG®) and Bifidobacterium animalis subsp. Lactis (BB-12®)] + Magnesium chloride or placebo for 9 weeks. Sociodemographic data were collected in the beginning. Anthropometric, dietary and physical activity (PA) assessments were carried out. Beck Depression Inventory-II (BDI-II) and Montreal Cognitive Assessment (MoCA) scores were assessed through validated questionnaires. Fasting plasma zonulin, lipopolysaccharide (LPS) and (CRP) were measured by ELIZA kits.ResultsOf seventy-four participants (mean age 37.51 ± 8.10), 52 completed the study. Changes in serum LPS and zonulin were not different significantly between groups (−3.04 ± 44.75 ng/dl, 0.11 ± 5.13, ng/dl, p > 0.05 for LPS and 1.40 ± 48.78 ng/dl, −0.17 ± 6.60, p > 0.05 for zonulin, respectively). CRP levels reduced significantly in intervention group compared to placebo [−474.75 (−1,300.00, −125.00) mg/l vs. 175.20 (−957.75, 1,683.25) mg/l, p = 0.016]. Changes in BDI-II and MoCA scores were not significantly different between intervention (−7.13 ± 5.67, 1.20 ± 2.16, respectively) and placebo (−5.42 ± 6.71, 1.94 ± 1.86, respectively) groups (p > 0.05).ConclusionNine weeks of probiotic and magnesium co-supplementation resulted in decreased CRP levels as an indicator of inflammatory state with no significant effects on mood, cognition and intestinal integrity in individuals with obesity and depressed mood.

Risk for Mood, Anxiety, and Psychotic Disorders in Individuals at High and Low Genetic Liability for Bipolar Disorder and Major Depression

The nature of the genetic relationship between major depression and bipolar disorder remains unclear and might be clarified by considering disorders outside of the mood spectrum. To better understand the relationship between genetic liabilities for major depression (MD) and bipolar disorder (BD). A cohort study was conducted with data for individuals born in Sweden to Swedish parents from 1960 to 1990, with follow-up through December 31, 2018. The data included family genetic risk scores for MD and BD and International Classification of Diseases codes for a range of disorders as reported in primary care, specialist, and hospital registries. Data analysis was conducted from April 2022 to July 2022. High and low genetic liability were defined as being in the upper and lower 2 risk deciles. Risk was compared in individuals at high genetic liability to (1) MD only, (2) BD only, and (3) both MD and BD and those at (4) high genetic liability to BD and low genetic liability to MD and (5) high genetic liability to MD and low genetic liability to BD. Risk for nonpsychotic MD and BD, psychotic MD and BD, anxiety disorders, obsessive-compulsive disorder, schizoaffective disorder (SAD), schizophrenia, and other nonaffective psychosis. Data were included for 2 736 950 individuals with a mean (SD) age at follow-up of 43.9 (9.1) years. High genetic liability to only BD increased risk for nonpsychotic BD, psychotic BD, and SAD. High genetic liability to only MD augmented risk for nonpsychotic MD, anxiety disorders, and nonpsychotic BD. High genetic liability to both BD and MD had the strongest association with risk for nonpsychotic BD, anxiety disorders, and nonpsychotic MD. High genetic liability to BD and low genetic liability to MD increased risk for psychotic BD, nonpsychotic BD, and SAD with no increased risk for nonpsychotic MD or anxiety disorders. High genetic liability to MD and low genetic liability to BD increased risk for nonpsychotic MD, nonpsychotic BD, and anxiety disorders with no increased risk for psychotic BD. In this study, hypotheses that BD and MD are either genetically distinct or genetically closely interrelated were not supported. Both BD and MD were associated with a genetic vulnerability to mood disorders, but even that liability was partially selective. However, compared with individuals at high liability to MD, those at elevated genetic liability for BD had a substantially increased risk for psychosis. Compared with individuals at elevated genetic liability to BD, those at high genetic risk for MD had a considerably augmented risk for anxiety disorders. Clarifying genetic relationships between psychiatric syndromes can be substantially aided by the consideration of profiles of risk for a range of disorders.

Effects of Warm-up Focused on the Mind–Body on Choral Performance

In choral performance, a wide variety of musical expression is required to deliver the worldview of the work to the audience. Singers need to regulate their mind-body to be in the optimal state, which includes relaxed concentration and flexible kinesthetic controllability in sensation, expression, and vocalization, for the chorus. Therefore, a choral warm-up focused on the mind-body could be crucial for various musical expressions. However, what kind of warm-up helps the singer achieve the optimal condition for the chorus remains unclear. Here, we investigated the effects of a warm-up method focusing on breathing, physical movement, imagery, and the combination of those factors on singing performance. Twenty-five choral singers were randomly assigned to five groups, and then singers for each group online conducted one of five warm-up conditions (breathing / stretching / imagery work / all works / control) and performed singing tasks to evaluate singing performance, including sensation, expression, and vocalization, both subjectively and objectively. Changes in mood were also measured using the second edition of the Profile of Mood States. The results showed that the warm-up with imagery work or all works could objectively and subjectively enhance singing performance. By contrast, the warm-up with breathing or stretching did not significantly improve performance, but did enhance subjective evaluations in general. In addition, no significant correlations were found between the objective performance evaluations and changes in individual mood. These results suggest that a warm-up focusing on mind-body interventions, especially imagery work, may enhance choral performance, thereby providing new insight for the establishment of more effective choral warm-up methods.

Cognitive Assessment During Heat Tolerance Test (HTT)

According to the Israel Defense Forces (IDF) regulations every soldier who had suffered an exertional heat injury (EHI) while exercising during military training, in varying degrees of severity, from heat exhaustion to heatstroke had to take the heat tolerance test (HTT) as part of clearance for back to duty. The criteria to determine the tolerance to heat are based solely on physiological parameters, while no cognitive evaluation is considered in the HTT. PURPOSE: To evaluate the correlation and the role of cognitive assessment and mood state with the physiological parameters monitored during the HTT. METHODS: Eighty five post EHI subjects, performed the IDF HTT (treadmill: 5km/h 2% elevation at 40C 40%). Subjects were continuously monitored for body core and skin temperatures, heart rate and sweat rate. Before, during (60 min.) and at the end of the HTT (120 min.) all participants took voluntarily a psychomotor vigilance test (PVT), which consisted of visual reaction time test using a laptop (cognitive assessment), and filled the profile of mood states (POMS) questionnaire (mood state assessment). RESULTS: According to the physiological criteria 66 subjects were diagnosed as heat tolerant (HT) and 19 as heat intolerant (HI). Analysis of the POMS revealed, in the different criteria, a lower mood for the HI individuals (p<0.01). PVT resulted with longer reaction time in the HI group (p<0.01). CONCLUSION: The adverse effects of heat stress on cognitive performance and mood state during HTT was lower for HT than HI subjects. Cognitive assessment during HTT can be used as an auxiliary tool in the HTT.

Sad reflections of happy times: depression vulnerability and experiences of sadness and happiness upon retrieval of positive autobiographical memories

ABSTRACT Instructed retrieval of positive autobiographical memories typically improves mood for healthy individuals, but not always for depressed individuals. No mood improvement may occur when depressed individuals retrieve positive memories that are self-incongruent, or when they ruminate upon positive memory retrieval. Mindfulness is associated with lower self-incongruency and rumination. The present study examined whether recurrent depression predicted emotional experience upon involuntary and voluntary retrieval of positive memories, and whether recurrent depression and trait mindfulness were associated with emotional experience upon positive memory retrieval through state rumination and self-incongruency. Recurrently and never-depressed individuals completed measures of depression, trait mindfulness, and a diary for reporting on everyday positive memories. Recurrently depressed individuals reported diminished happiness upon retrieving involuntary and voluntary positive memories compared to never-depressed individuals; and greater sadness upon involuntary positive memory retrieval, independent of current depression. Recurrent depression was associated with diminished happiness upon involuntary memory retrieval and greater sadness upon involuntary and voluntary positive memory retrieval, through state brooding, self-incongruency, or both. Higher trait mindfulness was associated with lower sadness upon involuntary and voluntary positive memory retrieval through state brooding and reflection. These findings highlight potential mechanisms in the relationship between depression vulnerability and emotional processing of positive autobiographical memories.

The effectiveness of synchronous tele-exercise to maintain the physical fitness, quality of life, and mood of older people - a randomized and controlled study.

The study investigates the effects of synchronized tele-exercise on physical fitness level, quality of life (QoL), loneliness and mood of older people individuals who experience social isolation during the coronavirus pandemic. A randomized controlled study was performed with 30 volunteers. A synchronized online exercise protocol was applied to the study group (SG) (n = 15; 10 females, 5 males) (mean age 67.1 ± 3.7years), while the control group (CG) (n = 15; 7 females, 8 males) (mean age 69.3 ± 5.6years) was placed on the waiting list. Physical fitness (Senior Fitness Test Battery-SFTB), health-related QoL (Nottingham Health Profile-NHP), loneliness (Loneliness Scale for the Elderly-LSE), and mood changes (Positive and Negative Affect Schedule-PANAS) were evaluated. There was a significant difference in all the subscales of SFTB (p < 0.05), physical activity and energy subscales, and total scores of NHP (p < 0.05) and PANAS positive emotional status score (p = 0.002) in the study group. While LSE scores worsened in the CG (p = 0.016), there was no significant difference in the SG (p = 0.162). Synchronous tele-exercise can provide improvements in the physical fitness level and can be used to maintain QoL and to improve the mood of community-dwelling older people.

The Use of Preferred Music to Improve the Sleep Quality of a High School Athlete with Post-Concussion Syndrome

Abstract Difficulty sleeping is a common long-term complaint for those who have experienced head trauma and brain injury (Hvingelby, 2020). A lack of sleep can lead to neurological dysfunction and reduce the ability to regulate thinking and behavior (Tan, 2004). Music therapy can promote sleep quality and may be an effective, safe, and affordable treatment for those with sleep problems (Kavurmaci et al., 2020). This study aimed to examine the use of preferred music to improve the self-reported sleep quality, pain, and mood of a high school athlete with post-concussion syndrome. A single-subject, quasi-experimental design was used to examine the use of a preferred music playlist to promote relaxation and sleep in conjunction with weekly live music therapy telehealth sessions. Results indicated an increase in relaxation and ability to sleep, along with improved mood and decreased pain. The results of this study suggest that music therapy may be helpful in addressing pain, mood, and sleep quality in individuals who have experienced concussions.

The effects of a single aerobic exercise session on mood and neural emotional reactivity in depressed and healthy young adults: A late positive potential study.

Depression has been characterized by lowered mood and unfavorable changes in neural emotional reactivity (altered brain responses to emotional stimuli). Physical exercise is a well-established strategy to improve the mood of healthy and depressed individuals. Increasing evidence suggests that exercise might also improve emotional reactivity in healthy adults by increasing or decreasing brain responses to positive or negative stimuli, respectively. It is unknown, however, if exercise could also benefit emotional reactivity in depressed individuals. We investigated the effects of a single aerobic exercise session on mood and emotional reactivity in 24 depressed and 24 matched healthy young adults. Self-reported mood and neural reactivity to emotional pictures (indexed by the EEG late positive potential, LPP) were assessed before and after two experimental protocols: exercise (36 min of moderate-intensity exercise at 75% of maximal heart rate) and seated rest condition (36 min). In the healthy control group, exercise improved self-reported mood and neural emotional reactivity (increasing LPP to positive pictures). In the depressed group, exercise improved self-reported mood; however, it did not affect neural emotional reactivity. Additional analyses performed on both groups revealed that exercise-induced changes in emotional reactivity are associated with the severity of depressive symptoms: the effectiveness of exercise in improving emotional reactivity decreases with the severity of depressive symptoms. Overall, the study further strengthens the claim of a beneficial role of exercise on mood and emotional reactivity. It also suggests that a single aerobic exercise session might have a limited influence on neural emotional reactivity in depressed individuals.

Investigation of the Effects of Art Therapy on Self-Compassion, Mood and Cognitive Functioning Levels in the Elderly

The aim of this study is to examine the effects of art therapy practices on self-compassion, positive-negative mood and cognitive function levels in elderly individuals. In the research, a quasi-experimental design with pretest-posttest control group was used. The sample of the study consists of 50 elderly individuals who are in the study (n=25) and comparison (n=25) groups. The entire sample lives in a long-term care home and is male. Sociodemographic Information Form, Positive-Negative Affect Scale, Self-Compassion Scale and Standardized Mini-Mental Test were administered to the participants. The Art Therapy Program was applied to the study group by the researchers once a week for a total of 10 sessions (each session 90 minutes). The comparison group was not included in any application. The analysis of the data obtained in this study was made with SPSS 25.0 and Dependent Groups T test and Independent Groups T test were used. As a result of the research findings, it was determined that there were statistically significant differences (p&lt;.05) between the post-test scores of the study and comparison groups. After the Art Therapy Program, the positive affect and self-compassion levels of the elderly individuals participating in the study group increased. No statistically significant difference was found in the cognitive function levels of the participants. There are few quantitative studies on Art Therapy conducted with elderly individuals. The study is important in terms of giving the opportunity to examine the application of Art Therapy on experimental research to improve the lives of elderly individuals. Keywords: Cognitive function, self-compassion, positive-negative affect, art therapy, elderly

An examination of the effects of distress intolerance and rating of perceived exertion on changes in mood and anxiety following aerobic exercise among treatment-seeking smokers

ABSTRACT Aerobic exercise is frequently used as an intervention for depression and smoking cessation because of its antidepressant and anxiolytic effects. Distress intolerance (DI) is a proposed individual difference factor that, coupled with a higher rating of perceived exertion during exercise, may significantly impact the acute mood and anxiolytic effects of exercise. The current study examined the interactive effect of maximum rating of perceived exertion (RPE) and DI on change in mood and anxiety. Treatment-seeking smokers (M age = 45.32; 72% female) with elevated depressive symptoms completed a 1-mile treadmill walk at their preferred intensity and self-reported their RPE during the test. Analyses were conducted to examine whether there was an interactive effect of maximum RPE and DI on change in self-reported mood and anxiety from before to after the walk test. Findings indicate a significant moderating effect of RPE at lower ratings. Individuals reporting a low maximum RPE and higher DI exhibit a greater change in mood over the course of an exercise session, whereas individuals reporting a low maximum RPE and a lower DI exhibit smaller changes in mood. These results indicate that the subjective effects of exercise within a population of cigarette smokers could be improved by tailoring exercise intensity to individual characteristics. Mild to moderate-intensity exercise, as compared to high-intensity exercise, may result in greater changes in mood for individuals endorsing difficulty tolerating affective and physical distress.

Mental health of children and adolescents with pre-existing psychiatric and developmental disorders during the first pandemic-related lockdown: A cross-sectional study in Greece

Since the onset of COVID-19 pandemic, concerns have been raised about the effects of the pandemic on youth with pre-existing mental health disorders. The present study aimed to explore change in emotional and behavioral symptoms (mood states) and daily behaviors during the lockdown in a clinical sample of children and adolescents in Greece. A cross-sectional survey, using the CoRonavIrus Health Impact Survey (CRISIS) Questionnaire, was completed by 738 parents of children and adolescents aged 2–18 years attending 12 outpatient child and adolescent mental health services (CAMHS) across four geographical regions in Greece. Participants reported at a single time-point on their children's mood states and daily behaviors 3 months prior to the pandemic and during the past two weeks, as well as on life changes during the spring 2020 lockdown. Using paired samples t-tests no change was found in mean mood states scores pre- and post-pandemic onset in all subgroups investigated. Using McNemar's test, we found that among individual mood states, some symptoms increased, and others decreased or remained stable. Additionally, participants did rate several of their daily behaviours as having overall worsened, e.g., reduced sleep or time spent outdoors during the lockdown, as compared to 3 months prior the pandemic. Longitudinal studies are needed to ascertain which factors buffer against deterioration of mental health among children with pre-pandemic psychiatric or developmental disorders, in order to inform public mental health and educational policy.

0253 The Association Between Sleep Health and Mood in Sedentary Desk Workers

IntroductionPoor sleep, most commonly insufficient sleep duration or low sleep quality, has been linked with disruptions of mood. However, it is unclear how sleep health—more broadly, other multiple dimensions of sleep—is associated with mood. The purpose of this study was to investigate the associations between sleep health and mood in a sample of desk-working sedentary adults.MethodsThis cross-sectional study used baseline data from inactive adults with desk-based jobs (N=125, 49.6% female, 43.9±10.6 years) who enrolled in an ongoing clinical trial. Sleep was assessed using validated questionnaires and 7 nights of actigraphy. Collectively, these measures were utilized to assess six different sleep dimensions: regularity, satisfaction, alertness, timing, efficiency, duration. Each dimension was categorized as “good” or “poor”. A sleep health score was calculated by summing the number of good dimensions (range: 0-6; higher is better). Mood was assessed using Profile of Mood States (POMS); its 7 subscales (tension, anger, fatigue, depression, esteem-affect, vigor, confusion) were summed (with a constant of 100) to create a Total Mood Disturbance (TMD) score. Multiple linear regression models examined associations between sleep health and mood adjusting for age, gender, and whether pre- or post-COVID-19.ResultsThe mean sleep health score was 4.7±1.1; the mean TMD score was 96.6±18.5. Better sleep health was associated with lesser TMD (β=-0.32, p<0.001) and better mood on each of the POMS subscales (β≥0.18, p<0.05), aside from esteem-related affect (p=0.31). Of the individual sleep dimensions, only satisfaction, alertness, and efficiency were associated with TMD (β≥0.18, p<0.05). Satisfaction was the only individual sleep dimension that was consistently associated with better mood on each subscale (β≥0.17). Alertness, efficiency, and duration were inconsistently associated with individual mood subscales. Regularity and timing were not associated with any mood subscales (p≥0.267 and p≥0.073, respectively).ConclusionBetter sleep health was associated with less TMD. Satisfaction was the sleep dimension that consistently associated with each subscale of mood. The cross-sectional, observational design limits casual inference between sleep health and mood disturbance due to a lack of temporality and the potential for residual confounding.Support (If Any)This study was funded by National Institutes of Health (NIH) grants R01HL134809 and R01HL147610.

Therapeutic Notepad: A Path to Happiness and Well-Being

Human beings are curious, intrinsically motivated and often look for sensations based on goals and plans to overcome the difficulties and challenges that arise towards happiness, wellbeing, and personal growth. The present study aims to understand the usefulness and practicality of a therapeutic notepad, which is composed of inspiring quotes and tasks underlying happiness and well-being. 111 young people and adults, aged between 18 and 58 years (M= 21.81; SD= 5.34) participated in this study, being 47.3% male individuals and 52.7% female individuals. First, a sociodemographic questionnaire was applied to collect personal data; then was administered the Psychological Well-Being Manifestations Scale (Échelle de Mesure des Manifestations du Bien-Être Psychologique) which translates into a response instrument five-point likert type with five subscales including happiness. Finally, a semistructured interview was applied to understand the functionality of the therapeutic agenda. The results showed, both qualitatively and quantitatively, that the notepad can be assumed as an agent that promotes happiness and well-being as well as reducing the negative mood of individuals. This study focuses on the importance of well-being and happiness in the daily lives of individuals. This is an important contribution, as it allows to gauge that the notepad leads to positive and motivating results when applied.&#x0D; &#x0D; Received: 11 December 2021 / Accepted: 21 February 2022 / Published: 5 May 2022

Depression Detection by Analyzing Social Media Post of User

Abstract: Nowadays the problem of early depression detection is one of the most important in the field of psychology .Mental health issues are widely accepted as one of the most prominent health challenges in the world, with over 300 million people currently suffering from depression alone. With massive volumes of user-generated data on social networking platforms, researchers are increasingly using machine learning to determine whether this content can be used to detect mental health problems in users. Depression as a disorder has been an excellent concern in our society and has been continuously a hot topic for researchers in the world. Despite the massive quantity of analysis on understanding individual moods together with depression, anxiety, and stress supported activity logs collected by pervasive computing devices like smartphones, foretelling depressed moods continues to be an open question. Social networks analysis is widely applied to address this problem. In this paper, we have proposed a depression analysis and suicidal ideation detection system, for predicting the suicidal acts supported the extent of depression. The present study aims to exploit machine learning techniques for detecting a probable depressed Social Media user his/her Posts. For this purpose, we trained and tested classifiers to differentiate whether a user is depressed or not using features extracted from his/her activities within the posts. classification machine algorithms are used to train and classify it in Different stages of depression on scale of 0-100%. Also, data was collected in the form of posts and were classified into whether the one that tweeted is in depression or not using classification algorithms of Machine Learning In this way Predictive approach for early detection of depression or other mental illnesses. This study’s main contribution is that the exploration a neighborhood of the features and its impact on detecting Depression level. This study aims to develop a deep learning model to classify users with depression via multiple instance learning, which can learn from user-level labels to identify post-level labels. By combining every possibility of posts label category, it can generate temporal posting profiles which can then be used to classify users with depression. This paper shows that there are clear differences in posting patterns between users with depression and non-depression, which is represented through the combined likelihood of posts label category. In this research, machine learning is used to process the scrapped data collected from social media users posts. Natural Language Processing (NLP), classified using BERT algorithm to detect depression potentially in amore convenient and efficient way. Keywords: Machine Learning, NLP, BERT Algorithm, Classification, Social Media Post

P224. Generating Artificial Mood Transitions: Efficiency, Reliability, and What it can Teach Us About Individual Mood

We experience mood transitions in response to our environment all the time. These mood transitions influence our cognition and behavior. When they stop occurring and mood remains chronically low, individuals meet diagnosis for depression. I will present the study of mood transitions using a closed-loop mood controller, termed the Mood-Machine-Interface (MMI), which can generate artificial mood transitions via adaptive modification of experimental environments.

Trait Energy and Fatigue Modify Acute Ingestion of an Adaptogenic-Rich Beverage on Neurocognitive Performance

Background: Psychological research considers traits as a long-standing pre-disposition to an individual’s mood, whereas short-term feelings are categorized as states. We previously reported similar overall acute mental performance benefits between an adaptogen-rich, caffeine-containing energy shot (e+Energy Shot–e+Shot; Isagenix International, LLC) and a caffeine-matched placebo Since the publication of that study, multiple studies have reported that trait mental and physical energy (TME/TPE), and trait mental and physical fatigue (TMF/TPF) status modify the effect of various interventions on neurocognitive performance. Therefore, we reevaluated our previously published work and accounted for the four traits. Methods: Participants (n = 30) completed a series of questionnaires to determine baseline trait energy and fatigue measures. Then, participants performed a 27 min battery of neurocognitive tasks before and three times after consuming the study beverages with 10 min breaks between each post-consumption battery of tests. Data from the previous study were re-analyzed using linear mixed-effects models. Results: We now report that the adaptogen product significantly improved mood and cognitive test responses in individuals stratified by initial TME, TPE, TMF, and TPF status. Moreover, this reevaluation also indicated that the caffeine placebo significantly increased heart rate and blood pressure in those subjects initially characterized by low physical and mental energy. Conclusions: In summary, a post-hoc re-analysis of our initial study suggests that consumption of the adaptogen-rich, caffeine-containing product preferentially benefited individuals with initial low TME/TPE and high TMF status when compared to caffeine alone. These findings also support our previous study suggesting that adaptogens may promote mental and physical performance benefits while modulating potentially negatively associated responses to caffeine.

P305. A Single Night of Slow-Wave Sleep Disruption Improves Mood and Enhances Motivation in Anhedonic Depression

Sleep deprivation results in a robust antidepressant response in 50% of individuals with major depression (MDD), with anhedonia being a strong predictor of response. Although the mechanism of this antidepressant effect is not known, one potential candidate may be via the modulation of neuroplasticity. Sleep slow-wave activity (SWA) has been suggested to facilitate the homeostatic modulation of neuroplasticity; thus, in this study we aimed to examine if selectively reducing SWA via auditory stimulation could improve mood and motivation in individuals with MDD with anhedonia.