Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey

Background: Automated Driving Systems (ADS) may reshape mobility. Yet, related fear and anxiety are largely unknown. We estimated the prevalence and risk factors of anticipated anxiety towards ADS. Method: In a nationally representative face-to-face household survey, we assessed anticipated levels of anxiety towards ADS based on DSM-5 specific phobia criteria, using structured diagnostic interviews. We estimated weighted prevalences and conducted adjusted logistic regression models. Results: Of N = 2076 respondents, 40.82% (95%-confidence interval (CI) 37.73–43.98) anticipated experiencing some symptoms of phobia of ADS, 15.22% (CI 13.19–17.51) anticipated subthreshold phobia, and 3.39% (CI 2.42–4.75) anticipated full-blown phobia of ADS. Of subjects anticipating subthreshold phobia, 74.02% showed no strong, enduring fears of driving non-automated cars and 65.07% presented no other specific phobias (full-blown anticipated phobia: 50.37% and 50.03%, respectively). Anticipated phobia highly overlapped with anticipating marked or strong fears of passively encountering ADS in traffic (odds ratio 312.4–1982.2). Conclusion: About 20% of subjects anticipated at least subthreshold and 4% of subjects anticipated full-blown phobia of ADS. It appears to be distinct from fears related to non-automated driving and other specific phobias. Our findings call for prevention and treatment of phobia of ADS as they become increasingly ubiquitous. (AU)

Reliability of self-reported dispositional mindfulness scales and their association with working memory performance and functional connectivity.

We systematically investigated the link between trait mindfulness scores and functional connectivity (FC) features or behavioral data, to emphasize the importance of the reliability of self-report mindfulness scores. Sixty healthy young male participants underwent two functional MRI runs with three mindfulness or mind-wandering task blocks with an N-back task (NBT) block. The data from 49 participants (age: 23.3 ± 2.8) for whom two sets of the self-reported Mindfulness Attention Awareness Scale (MAAS) and NBT performance were available were analyzed. We divided participants into two groups based on the consistency level of their MAAS scores (i.e., a "consistent" and an "inconsistent" group). Then, the association between the MAAS scores and FC features or NBT performance was investigated using linear regression analysis with p-value correction and bootstrapping. Meaningful associations (a) between MAAS and NBT accuracy (slope = 0.41, CI = [0.10, 0.73], corrected p < 0.05), (b) between MAAS and the FC edges in the frontoparietal network, and (c) between the FC edges and NBT performance were only observed in the consistent group (n = 26). Our findings demonstrate the importance of appropriate screening mechanisms for self-report-based dispositional mindfulness scores when trait mindfulness scores are combined with neuronal features and behavioral data.

Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey.

Background: Automated Driving Systems (ADS) may reshape mobility. Yet, related fear and anxiety are largely unknown. We estimated the prevalence and risk factors of anticipated anxiety towards ADS. Method: In a nationally representative face-to-face household survey, we assessed anticipated levels of anxiety towards ADS based on DSM-5 specific phobia criteria, using structured diagnostic interviews. We estimated weighted prevalences and conducted adjusted logistic regression models. Results: Of N = 2076 respondents, 40.82% (95%-confidence interval (CI) 37.73-43.98) anticipated experiencing some symptoms of phobia of ADS, 15.22% (CI 13.19-17.51) anticipated subthreshold phobia, and 3.39% (CI 2.42-4.75) anticipated full-blown phobia of ADS. Of subjects anticipating subthreshold phobia, 74.02% showed no strong, enduring fears of driving non-automated cars and 65.07% presented no other specific phobias (full-blown anticipated phobia: 50.37% and 50.03%, respectively). Anticipated phobia highly overlapped with anticipating marked or strong fears of passively encountering ADS in traffic (odds ratio 312.4-1982.2). Conclusion: About 20% of subjects anticipated at least subthreshold and 4% of subjects anticipated full-blown phobia of ADS. It appears to be distinct from fears related to non-automated driving and other specific phobias. Our findings call for prevention and treatment of phobia of ADS as they become increasingly ubiquitous.

Cigarette craving modulation is more feasible than resistance modulation for heavy cigarette smokers: empirical evidence from functional MRI data.

BACKGROUND: Modulation of cigarette craving and neuronal activations from nicotine-dependent cigarette smokers using real-time functional MRI (rtfMRI)-based neurofeedback (rtfMRI-NF) has been previously reported. OBJECTIVES: The aim of this study was to evaluate the efficacy of rtfMRI-NF training in reducing cigarette cravings using fMRI data acquired before and after training. METHODS: Treatment-seeking male heavy cigarette smokers (N = 14) were enrolled and randomly assigned to two conditions related to rtfMRI-NF training aiming at resisting the urge to smoke. In one condition, subjects underwent conventional rtfMRI-NF training using neuronal activity as the neurofeedback signal (activity-based) within regions-of-interest (ROIs) implicated in cigarette craving. In another condition, subjects underwent rtfMRI-NF training with additional functional connectivity information included in the neurofeedback signal (functional connectivity-added). Before and after rtfMRI-NF training at each of two visits, participants underwent two fMRI runs with cigarette smoking stimuli and were asked to crave or resist the urge to smoke without neurofeedback. Cigarette craving-related or resistance-related regions were identified using a general linear model followed by paired t-tests and were evaluated using regression analysis on the basis of neuronal activation and subjective craving scores (CRSs). RESULTS: Visual areas were mainly implicated in craving, whereas the superior frontal areas were associated with resistance. The degree of (a) CRS reduction and (b) the correlation between neuronal activation and CRSs were statistically significant (P < 0.05) in the functional connectivity-added neurofeedback group for craving-related ROIs. CONCLUSION: Our study demonstrated the feasibility of altering cigarette craving in craving-related ROIs but not in resistance-related ROIs via rtfMRI-NF training.

Induction of Efficacy Expectancies in an Ambulatory Smartphone-Based Digital Placebo Mental Health Intervention: Randomized Controlled Trial.

BACKGROUND: There is certain evidence on the efficacy of smartphone-based mental health interventions. However, the mechanisms of action remain unclear. Placebo effects contribute to the efficacy of face-to-face mental health interventions and may also be a potential mechanism of action in smartphone-based interventions. OBJECTIVE: This study aimed to investigate whether different types of efficacy expectancies as potential factors underlying placebo effects could be successfully induced in a smartphone-based digital placebo mental health intervention, ostensibly targeting mood and stress. METHODS: We conducted a randomized, controlled, single-blinded, superiority trial with a multi-arm parallel design. Participants underwent an Android smartphone-based digital placebo mental health intervention for 20 days. We induced prospective efficacy expectancies via initial instructions on the purpose of the intervention and retrospective efficacy expectancies via feedback on the success of the intervention at days 1, 4, 7, 10, and 13. A total of 132 healthy participants were randomized to a prospective expectancy-only condition (n=33), a retrospective expectancy-only condition (n=33), a combined expectancy condition (n=34), or a control condition (n=32). As the endpoint, we assessed changes in efficacy expectancies with the Credibility Expectancy Questionnaire, before the intervention and on days 1, 7, 14, and 20. For statistical analyses, we used a random effects model for the intention-to-treat sample, with intervention day as time variable and condition as two factors: prospective expectancy (yes vs no) and retrospective expectancy (yes vs no), allowed to vary over participant and intervention day. RESULTS: Credibility (ß=-1.63; 95% CI -2.37 to -0.89; P<.001) and expectancy (ß=-0.77; 95% CI -1.49 to -0.05; P=.04) decreased across the intervention days. For credibility and expectancy, we found significant three-way interactions: intervention day×prospective expectancy×retrospective expectancy (credibility: ß=2.05; 95% CI 0.60-3.50; P=.006; expectancy: ß=1.55; 95% CI 0.14-2.95; P=.03), suggesting that efficacy expectancies decreased least in the combined expectancy condition and the control condition. CONCLUSIONS: To our knowledge, this is the first empirical study investigating whether efficacy expectancies can be successfully induced in a specifically designed placebo smartphone-based mental health intervention. Our findings may pave the way to diminish or exploit digital placebo effects and help to improve the efficacy of digital mental health interventions. TRIAL REGISTRATION: Clinicaltrials.gov NCT02365220; https://clinicaltrials.gov/ct2/show/NCT02365220.

Maternal psychopathology and offspring mental health service utilization in adolescents without mental disorders: a national representative survey.

We investigated whether maternal psychopathology predicts offspring mental health service utilization in adolescents without mental disorders. We used weighted data (N = 2317) from NCS-A participants (age: 13-18 years) who did not meet DSM-IV criteria for any lifetime mental disorder. Adolescent mental disorders were assessed with the WHO CIDI. Maternal psychopathology was obtained by self-report. Adolescent mental health service use was assessed with the Service Assessment for Children and Adolescents. Substantial associations between maternal psychopathology and mental health service use in offspring without mental disorders were found between affective disorders and the mental health/medical specialty (hazard ratio (HR) = 2.49, 95% confidence interval (CI) = 1.60-3.90) and any service sector (HR = 2.14, CI = 1.45-3.16), anxiety disorders and any service sector (HR = 1.63, CI = 1.13-2.35), behavior disorders and the school (HR = 3.69, CI = 1.39-9.77) and any service sector (HR = 2.81, CI = 1.12-7.07), substance use disorders and the mental health/medical specialty (HR = 3.75, CI = 1.75-8.03), the school (HR = 3.17, CI = 1.43-7.02), and any service sector (HR = 3.66, CI = 2.00-6.70), and any mental disorder and the mental health/medical specialty (HR = 2.10, CI = 1.34-3.30) and any service sector (HR = 2.03, CI = 1.40-2.92). Results were comparable when restricting analyses to offspring with no indication of suicidality and no more than three life events during the past 12 months. The likelihood of service use was higher among offspring of mothers with mental disorders, compared to mothers without mental disorders. Considering maternal mental disorder status may help to identify subjects at risk of overtreatment.

Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning.

BACKGROUND: Tailoring healthcare to patients' individual needs is a central goal of precision medicine. Combining smartphone-based interventions with machine learning approaches may help attaining this goal. The aim of our study was to explore the predictability of the success of smartphone-based psychotherapeutic micro-interventions in eliciting mood changes using machine learning. METHODS: Participants conducted daily smartphone-based psychotherapeutic micro-interventions, guided by short video clips, for 13 consecutive days. Participants chose one of four intervention techniques used in psychotherapeutic approaches. Mood changes were assessed using the Multidimensional Mood State Questionnaire. Micro-intervention success was predicted using random forest (RF) tree-based mixed-effects logistic regression models. Data from 27 participants were used, totaling 324 micro-interventions, randomly split 100 times into training and test samples, using within-subject and between-subject sampling. RESULTS: Mood improved from pre- to post-intervention in 137 sessions (initial success-rate: 42.3%). The RF approach resulted in predictions of micro-intervention success significantly better than the initial success-rate within and between subjects (positive predictive value: 0.732 (95%-CI: 0.607; 0.820) and 0.698 (95%-CI: 0.564; 0.805), respectively). Prediction quality was highest using the RF approach within subjects (rand accuracy: 0.75 (95%-CI: 0.641; 0.840), Matthew's correlation coefficient: 0.483 (95%-CI: 0.323; 0.723)). LIMITATIONS: The RF approach does not allow firm conclusions about the exact contribution of each factor to the algorithm's predictions. We included a limited number of predictors and did not compare whether predictability differed between psychotherapeutic techniques. CONCLUSIONS: Our findings may pave the way for translation and encourage scrutinizing personalized prediction in the psychotherapeutic context to improve treatment efficacy.

Sex specific relationships between infants' mental rotation ability and amiotic sex hormones.

Sex differences in mental rotation, robust in adults, have recently been reported for infants' looking times although the pattern of results is not completely conclusive. In this context, organizational effects of gonadal steroids affecting the neural circuitry underlying spatial cognition could be (partly) responsible for the early sex difference. In the present study testosterone and estradiol levels measured in amniotic fluid via ultra performance liquid chromatography and tandem mass spectrometry were used to examine the role of prenatal sex hormones on infants' looking times during mental rotation. N = 208 six-month-old infants participated in an expectation of violation task with 3D cube figures. Mental rotation was defined as the difference in looking times for familiar versus mirrored cube figures whereas vigilance was defined as the sum of both looking times. Sex differences were absent for mental rotation as well as for vigilance. Most importantly, however, for boys mental rotation but not vigilance was correlated with prenatal testosterone but not with estradiol. For girls mental rotation but not vigilance was correlated with prenatal estradiol but not with testosterone although it has to be noted that the testosterone values for girls suffered from a floor effect. Only 5% of the within-sex variance was due to prenatal sex hormones indicating small effects. These findings extend our knowledge concerning organizational effects of prenatal sex hormones on the brain circuitry underlying spatial cognition.

Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback.

The triple networks, namely the default-mode network (DMN), the central executive network (CEN), and the salience network (SN), play crucial roles in disorders of the brain, as well as in basic neuroscientific processes such as mindfulness. However, currently, there is no consensus on the underlying functional features of the triple networks associated with mindfulness. In this study, we tested the hypothesis that (a) the partial regression coefficient (i.e., slope): from the SN to the DMN, mediated by the CEN, would be one of the potential mindfulness features in the real-time functional magnetic resonance imaging (rtfMRI) neurofeedback (NF) setting, and (b) this slope level may be enhanced by rtfMRI-NF training. Sixty healthy mindfulness-naïve males participated in an MRI session consisting of two non-rtfMRI-runs, followed by two rtfMRI-NF runs and one transfer run. Once the regions-of-interest of each of the triple networks were defined using the non-rtfMRI-runs, the slope level was calculated by mediation analysis and used as neurofeedback information, in the form of a thermometer bar, to assist with participant mindfulness during the rtfMRI-NF runs. The participants were asked to increase the level of the thermometer bar while deploying a mindfulness strategy, which consisted of focusing attention on the physical sensations of breathing. rtfMRI-NF training was conducted as part of a randomized controlled trial design, in which participants were randomly assigned to either an experimental group or a control group. The participants in the experimental group received contingent neurofeedback information, which was obtained from their own brain signals, whereas the participants in the control group received non-contingent neurofeedback information that originated from matched participants in the experimental group. Our results indicated that the slope level from the SN to the DMN, mediated by the CEN, was associated with mindfulness score (rtfMRI-NF runs: r = 0.53, p = 0.007; p-value was corrected from 10,000 random permutations) and with task-performance feedback score (rtfMRI-NF run: r = 0.61, p = 0.001) in the experimental group only. In addition, during the rtfMRI-NF runs the level of the partial regression coefficient feature was substantially increased in the experimental group compared to the control group (p < 0.05 from the paired t-test; the p-value was corrected from 10,000 random permutations). To the best of our knowledge, this is the first study to demonstrate a partial regression coefficient feature of mindfulness in the rtfMRI-NF setting obtained by triple network mediation analysis, as well as the possibility of enhancement of the partial regression coefficient feature by rtfMRI-NF training.

Prenatal testosterone exposure is associated with delay of gratification and attention problems/overactive behavior in 3-year-old boys.

Sex differences in self-control become apparent during preschool years. Girls are better able to delay their gratification and show less attention problems and overactive behavior than boys. In this context, organizational effects of gonadal steroids affecting the neural circuitry underlying self-control could be responsible for these early sex differences. In the present study testosterone levels measured in amniotic fluid (via ultra performance liquid chromatography and tandem mass spectrometry) were used to examine the role of organizational sex hormones on self-control. One hundred and twenty-two 40-month-old children participated in a delay of gratification task (DoG task) and their parents reported on their attention problems and overactive behavior. Girls waited significantly longer for their preferred reward than boys, and significantly more girls than boys waited the maximum period of time, providing evidence for sex differences in delay of gratification. Boys that were rated as suffering from more attention problems and overactive behavior waited significantly shorter in the DoG task. Amniotic testosterone measures were reliable in boys only. Most importantly, boys who waited shorter in the DoG task and boys who were reported to suffer from more attention problems and overactive behavior had higher prenatal testosterone levels. These findings extend our knowledge concerning organizational effects of testosterone on the brain circuitry underlying self-control in boys, and are of relevance for understanding how sex differences in behavioral disorders are connected with a lack of self-control.

Maternal psychopathology and mental health treatment delay in adolescents from a national cohort.

OBJECTIVE: To investigate whether maternal psychopathology predicts mental health service use and treatment delay in offspring with mental disorders. DATA SOURCES: Weighted data collected between 2001 and 2004 from NCS-A participants (age: 13-18 years; N = 2939) meeting DSM-IV criteria for any lifetime mental disorder, assessed with WHO CIDI, and from their biological mothers. STUDY DESIGN: National representative cohort. DATA COLLECTION: Maternal psychopathology was assessed with self-report, adolescent mental health service use with the Service Assessment for Children and Adolescents. PRINCIPAL FINDINGS: Maternal psychopathology predicted offspring mental health service use across various service sectors, except for school services. In the mental health specialty sector, estimates were highest for maternal affective (hazard ratio (HR) = 2.17, 95 percent confidence interval (CI) = 1.66-2.82) and any mental disorder (HR = 2.13, 95 percent CI = 1.53-2.97). For offspring use of any mental health services, estimates were highest for maternal behavior (HR = 1.60, 95 percent CI = 1.15-2.21) and substance use disorders (HR = 1.57, 95 percent CI = 1.09-2.24). Treatment delay of offspring mental health service use was predicted by maternal behavior disorders. CONCLUSIONS: Maternal psychopathology fostered mental health service use in offspring with mental disorders, while maternal behavior disorders might also retard treatment. Considering parental psychopathology may help improving the prevention of unmet offspring service needs.

The psychobiology of using automated driving systems: A systematic review and integrative model.

Using vehicles with engaged automated driving systems (ADS) ('highly automated driving', HAD) will substantially impact on future society's mobility, yet the current understanding of human psychobiology related to HAD is still limited. Hence, we synthesized evidence on the psychobiology of subjects using HAD, informing an integrative model of the psychobiology of HAD, and providing guidance for reporting future research on this topic. We included (non-)randomized studies assessing human peripheral biology markers of in-vehicle-users in real or simulated driving environments, using vehicles with vs. without engaged ADS, published in English until April 2018. We systematically searched Web of Science, SCOPUS, and PubMed. The search consisted of a combination of terms describing HAD and psychobiological parameters. Risk of bias was assessed regarding randomization, blinding, incomplete outcome data, selective outcome reporting, and other potential causes. We extracted data using predefined data fields. Four out of five studies included in this review (N = 194 subjects) reported associations of use of vehicles with vs. without engaged ADS with various psychobiological parameters, including heart rate, respiratory sinus arrhythmia (RSA), indicators of electrodermal activity (EDA), and masseter electromyography (EMG). Heart rate tended to be reduced during HAD along with increased EDA and EMG, with no clear indication for changes in RSA. We cannot exclude substantial risk of bias, among others because the status of engagement of ADS was mostly non-randomized. Yet, findings suggest that HAD goes along with tractable changes in peripheral biology. Informed by the conceptual endophenotype approach (Hellhammer et al., 2018, Psychoneuroendocrinology), we propose the Embodied Driving (EMBODD) model that describes how HAD reshapes vehicle use experience, and highlight how to make future ADS equipped vehicles successful regarding user's health. Based on the review, we suggest reporting guidelines for future research on the psychobiology of HAD.

Manipulating the Alpha Level Cannot Cure Significance Testing.

We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p-value threshold of 0.05, 0.01, 0.005, or anything else, is not acceptable.

[Psychotherapy: Quo vadis?] / Psychotherapie: Quo vadis?

Background: The science and practice of psychotherapy is continuously developing. The goal of this article is to describe new impulses, guiding current advancements in the field. Methods: This paper provides a selective narrative review, synthesizing and condensing relevant literature identified through various sources, including MEDLINE, EMBASE, PsycINFO, and "Web of Science", as well as citation tracking, to elaborate key developments in the field of psychotherapy Results: We describe several dynamics: 1) Following up the so-called "third wave of cognitive behavioral therapy", new interventions arise that have at their core fostering interpersonal virtues, such as compassion, forgiveness, and gratitude; 2) Based on technological quantum leaps, new interventions arise that exploit current developments in the field of new media, information, and communication technologies, as well as brain imaging, such as digital interventions for mental disorders and new forms of neurofeedback; 3) Inspired by the field of positive psychology, there is a revival of the promotion of strength and resilience in therapeutic contexts; 4) In light of the new paradigm "precision medicine", the issue of differential and adaptive indication of psychotherapy, addressed with new methods, regains relevance and drives a new field of "precision psychotherapy". 5) Last but not least, the "embodied turn" opens the door for body psychotherapy to gain relevance in academic psychotherapy. Conclusion: These and further developments, such as the use of systemic and network approaches as well as machine learning techniques, outline the vivid activities in the field of psychotherapy.

Chronology of Onset of Mental Disorders and Physical Diseases in Mental-Physical Comorbidity - A National Representative Survey of Adolescents.

BACKGROUND: The objective was to estimate temporal associations between mental disorders and physical diseases in adolescents with mental-physical comorbidities. METHODS: This article bases upon weighted data (N = 6483) from the National Comorbidity Survey Adolescent Supplement (participant age: 13-18 years), a nationally representative United States cohort. Onset of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition lifetime mental disorders was assessed with the fully structured World Health Organization Composite International Diagnostic Interview, complemented by parent report. Onset of lifetime medical conditions and doctor-diagnosed diseases was assessed by self-report. RESULTS: The most substantial temporal associations with onset of mental disorders preceding onset of physical diseases included those between affective disorders and arthritis (hazard ratio (HR) = 3.36, 95%-confidence interval (CI) = 1.95 to 5.77) and diseases of the digestive system (HR = 3.39, CI = 2.30 to 5.00), between anxiety disorders and skin diseases (HR = 1.53, CI = 1.21 to 1.94), and between substance use disorders and seasonal allergies (HR = 0.33, CI = 0.17 to 0.63). The most substantial temporal associations with physical diseases preceding mental disorders included those between heart diseases and anxiety disorders (HR = 1.89, CI = 1.41 to 2.52), epilepsy and eating disorders (HR = 6.27, CI = 1.58 to 24.96), and heart diseases and any mental disorder (HR = 1.39, CI = 1.11 to 1.74). CONCLUSIONS: Findings suggest that mental disorders are antecedent risk factors of certain physical diseases in early life, but also vice versa. Our results expand the relevance of mental disorders beyond mental to physical health care, and vice versa, supporting the concept of a more integrated mental-physical health care approach, and open new starting points for early disease prevention and better treatments, with relevance for various medical disciplines.

Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting.

BACKGROUND: Using mobile communication technology as new personalized approach to treat mental disorders or to more generally improve quality of life is highly promising. Knowledge about intervention components that target key psychopathological processes in terms of transdiagnostic psychotherapy approaches is urgently needed. We explored the use of smartphone-based micro-interventions based on psychotherapeutic techniques, guided by short video-clips, to elicit mood changes. METHOD: As part of a larger neurofeedback study, all subjects-after being randomly assigned to an experimental or control neurofeedback condition-underwent daily smartphone-based micro-interventions for 13 consecutive days. They were free to choose out of provided techniques, including viscerosensory attention, emotional imagery, facial expression, and contemplative repetition. Changes in mood were assessed in real world using the Multidimensional Mood State Questionnaire (scales: good-bad, GB; awake-tired, AT; and calm-nervous, CN). RESULTS: Twenty-seven men participated on at least 11 days and were thus included in the analyses. Altogether, they underwent 335, generally well-tolerated, micro-intervention sessions, with viscerosensory attention (178 sessions, 53.13%) and contemplative repetition (68 sessions, 20.30%) being the most frequently applied techniques. Mixed models indicated that subjects showed better mood [GB: b = 0.464, 95%confidence interval (CI) [0.068, 0.860], t (613.3) = 2.298, p = 0.022] and became more awake [AT: b = 0.514, 95%CI [0.103, 0.925], t (612.4) = 2.456, p = 0.014] and calmer [CN: b = 0.685, 95%CI [0.360, 1.010], t (612.3) = 4.137, p < 0.001] from pre- to post-micro-intervention. These mood improvements from pre- to post-micro-intervention were associated with changes in mood from the 1st day until the last day with regard to GB mood (r = 0.614, 95%CI [0.297, 0.809], p < 0.001), but not AT mood (r = 0.279, 95%CI [-0.122, 0.602], p = 0.167) and CN mood (r = 0.277, 95%CI [0.124, 0.601], p = 0.170). DISCUSSION: Our findings provide evidence for the applicability of smartphone-based micro-interventions eliciting short-term mood changes, based on techniques used in psychotherapeutic approaches, such as mindfulness-based psychotherapy, transcendental meditation, and other contemplative therapies. The results encourage exploring these techniques' capability to improve mood in randomized controlled studies and patients. Smartphone-based micro-interventions are promising to modify mood in real-world settings, complementing other psychotherapeutic interventions, in line with the precision medicine approach. The here presented data were collected within a randomized trial, registered at ClinicalTrials.gov (Identifier: NCT01921088) https://clinicaltrials.gov/ct2/show/NCT01921088.

Comorbidity of Mental Disorders and Chronic Pain: Chronology of Onset in Adolescents of a National Representative Cohort.

UNLABELLED: This study sought to estimate (1) the prevalence of the co-occurrence of, (2) the association between, and (3) the sequence of onset of chronic pain and mental disorders in adolescents. We used weighted data (N = 6,483) from the National Comorbidity Survey Replication Adolescent Supplement (participants' age, 13-18 years). Lifetime chronic pain was assessed by adolescent self-report; lifetime DSM-IV mental disorders were assessed by the WHO Composite International Diagnostic Interview, complemented by parent report. Among the participants in the study, 1,600 of 6,476 (25.93%) had experienced any type of chronic pain and any mental disorder in their lifetime. All types of pain were related to mental disorders. The most substantial temporal associations were those with onset of mental disorders preceding onset of chronic pain, including those between affective disorders and headaches and any chronic pain; between anxiety disorders and chronic back/neck pain, headaches, and any chronic pain; between behavior disorders and headaches and any chronic pain; and between any mental disorder and chronic back/neck pain, headaches, and any chronic pain. PERSPECTIVE: Findings indicate that affective, anxiety, and behavior disorders are early risk factors of chronic pain, thereby highlighting the relevance of child mental disorders for pain medicine. To improve prevention and interventions for chronic pain, integrative care should be considered.

Association between mental disorders and physical diseases in adolescents from a nationally representative cohort.

OBJECTIVE: Pediatric health care and research focus mostly on single morbidities, although the single-disease framework has been challenged. The main objective was to estimate associations between childhood mental disorders and physical diseases. METHODS: This study is based on weighted data (n = 6482) from the National Comorbidity Survey Replication Adolescent Supplement (age, 13-18 years). Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition lifetime mental disorders were assessed using the fully structured World Health Organization Composite International Diagnostic Interview, complemented by parent report. Lifetime medical conditions and doctor-diagnosed diseases were assessed by adolescent self-report. RESULTS: Of 6469 participants, 2137 (35.33%) reported at least one mental disorder and one physical disease. The most substantial associations included those between affective disorders and diseases of the digestive system (odds ratio [OR] = 3.46, 95% confidence interval [CI] = 2.28-5.24), anxiety disorders and arthritis (OR = 2.27, CI = 1.34-3.85), anxiety disorders and heart diseases (OR = 2.41, CI = 1.56-3.73), anxiety disorders and diseases of the digestive system (OR = 2.18, CI = 1.35-3.53), and eating disorders and epilepsy/seizures (OR = 5.45, CI = 1.57-18.87). Sociodemographic factors did not account for the association between mental disorders and physical diseases. CONCLUSIONS: Findings suggest that mental disorders and physical diseases often co-occur in childhood. This association is a major public health challenge, and the child health system needs additional strategies in patient-centered care, research, medical education, health policy, and economics to develop well-coordinated interdisciplinary approaches linking mental and physical care in children.

The inclusion of functional connectivity information into fMRI-based neurofeedback improves its efficacy in the reduction of cigarette cravings.

Real-time fMRI (rtfMRI) neurofeedback (NF) facilitates volitional control over brain activity and the modulation of associated mental functions. The NF signals of traditional rtfMRI-NF studies predominantly reflect neuronal activity within ROIs. In this study, we describe a novel rtfMRI-NF approach that includes a functional connectivity (FC) component in the NF signal (FC-added rtfMRI-NF). We estimated the efficacy of the FC-added rtfMRI-NF method by applying it to nicotine-dependent heavy smokers in an effort to reduce cigarette craving. ACC and medial pFC as well as the posterior cingulate cortex and precuneus are associated with cigarette craving and were chosen as ROIs. Fourteen heavy smokers were randomly assigned to receive one of two types of NF: traditional activity-based rtfMRI-NF or FC-added rtfMRI-NF. Participants received rtfMRI-NF training during two separate visits after overnight smoking cessation, and cigarette craving score was assessed. The FC-added rtfMRI-NF resulted in greater neuronal activity and increased FC between the targeted ROIs than the traditional activity-based rtfMRI-NF and resulted in lower craving score. In the FC-added rtfMRI-NF condition, the average of neuronal activity and FC was tightly associated with craving score (Bonferroni-corrected p = .028). However, in the activity-based rtfMRI-NF condition, no association was detected (uncorrected p > .081). Non-rtfMRI data analysis also showed enhanced neuronal activity and FC with FC-added NF than with activity-based NF. These results demonstrate that FC-added rtfMRI-NF facilitates greater volitional control over brain activity and connectivity and greater modulation of mental function than activity-based rtfMRI-NF.