Behavioral Activation and Brain Network Changes in Depression.

Behavioral activation (BA) is a well-established method of evidence-based treatment for depression. There are clear links between the neural mechanisms underlying reward processing and BA treatment for depressive symptoms, including anhedonia; however, integrated interpretations of these two domains are lacking. Here we examine brain imaging studies involving BA treatments to investigate how changes in brain networks, including the reward networks, mediate the therapeutic effects of BA, and whether brain circuits are predictors of BA treatment responses. Increased activation of the prefrontal and subcortical regions associated with reward processing has been reported after BA treatment. Activation of these regions improves anhedonia. Conversely, some studies have found decreased activation of prefrontal regions after BA treatment in response to cognitive control stimuli in sad contexts, which indicates that the therapeutic mechanism of BA may involve disengagement from negative or sad contexts. Furthermore, the decrease in resting-state functional connectivity of the default-mode network after BA treatment appears to facilitate the ability to counteract depressive rumination, thereby promoting enjoyable and valuable activities. Conflicting results suggest that an intact neural response to rewards or defective reward functioning is predictive of the efficacy of BA treatments. Increasing the benefits of BA treatments requires identification of the unique individual characteristics determining which of these conflicting findings are relevant for the personalized treatment of each individual with depression.

Caregiver Experiences With an Internet-Delivered Insomnia Intervention: SHUTi-CARE Trial Primary Qualitative Analysis.

BACKGROUND: Digital health interventions show potential to increase caregivers' access to psychosocial care; however, it is unclear to what extent existing interventions may need to be tailored to meet caregivers' unique needs. PURPOSE: This study aimed to determine whether-and if so, how-an efficacious Internet-delivered insomnia program should be modified for caregivers. The generalizability of these findings beyond the tested program was also examined. METHODS: Higher-intensity family caregivers (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic White, 66% ≥college degree) received access to an Internet-based cognitive-behavioral therapy for insomnia (CBT-I) program. Participants who completed one or more intervention "Cores" provided open-ended feedback on their experience; nonusers (completed no Cores) shared their barriers. RESULTS: Most caregivers who used the program (n = 82, 82%) found it feasible, citing its user-friendly, fully automated online format. Many reported that CBT-I strategies were helpful, although some faced challenges in implementing these strategies due to the unpredictability of their caregiving responsibilities. Opinions were divided on the utility of tailoring the program for caregivers. Nonusers (n = 18, 18%) primarily cited concerns about time burden and lifestyle compatibility as usage barriers. CONCLUSIONS: Delivering fully automated behavioral interventions through the Internet appears suitable for many caregivers. Extensive tailoring may not be required for most caregivers to benefit from an existing online CBT-I program, although additional guidance on integrating CBT-I strategies in the context of challenging sleep schedules and environments may help a subset of caregivers. Future research should explore how such tailoring may enhance digital health intervention uptake and effectiveness for caregivers.

This study examined family caregivers' experiences using an online cognitive-behavioral therapy for insomnia program. The aim was to determine if the program needed changes to better fit caregivers' needs. Researchers gave 100 caregivers with insomnia access to Sleep Healthy Using the Internet (SHUTi), an online insomnia program that had no caregiver-specific tailoring. Of the 82 caregivers who used the program, most found the program easy to use and helpful, although some struggled with behavioral strategies because of their unpredictable caregiving duties. There was no clear consensus among caregivers on whether tailoring would be helpful. The 18 caregivers who did not use the program most commonly said that they did not have enough time to use the program or that they felt it would not work well with their lifestyle. Overall, findings suggest that providing interventions via the Internet is a good fit for many caregivers. Many caregivers benefitted from an online insomnia program without being tailored specifically for caregivers, although some additional guidance on how to follow behavioral strategies may be helpful to some caregivers.

Deep learning-based dimensional emotion recognition for conversational agent-based cognitive behavioral therapy.

Internet-based cognitive behavioral therapy (iCBT) offers a scalable, cost-effective, accessible, and low-threshold form of psychotherapy. Recent advancements explored the use of conversational agents such as chatbots and voice assistants to enhance the delivery of iCBT. These agents can deliver iCBT-based exercises, recognize and track emotional states, assess therapy progress, convey empathy, and potentially predict long-term therapy outcome. However, existing systems predominantly utilize categorical approaches for emotional modeling, which can oversimplify the complexity of human emotional states. To address this, we developed a transformer-based model for dimensional text-based emotion recognition, fine-tuned with a novel, comprehensive dimensional emotion dataset comprising 75,503 samples. This model significantly outperforms existing state-of-the-art models in detecting the dimensions of valence, arousal, and dominance, achieving a Pearson correlation coefficient of r = 0.90, r = 0.77, and r = 0.64, respectively. Furthermore, a feasibility study involving 20 participants confirmed the model's technical effectiveness and its usability, acceptance, and empathic understanding in a conversational agent-based iCBT setting, marking a substantial improvement in personalized and effective therapy experiences.

Combining app-based behavioral therapy with electronic cigarettes for smoking cessation: a study protocol for a single-arm mixed-methods pilot trial.

BACKGROUND: Cigarette smoking remains a leading cause of preventable illness and death, underscoring the need for effective evidence-based smoking cessation interventions. Nuumi, a novel smoking cessation program integrating a digital behavioral therapy and an electronic cigarette, may provide a solution. OBJECTIVE: To investigate the initial efficacy, acceptability and psychological outcomes of an evidence-based smoking cessation intervention comprised of a mobile phone app and an electronic cigarette among adults who smoke and who are motivated to quit. METHODS: A prospective 6-month single-arm mixed-methods pilot study will be conducted. Seventy adults who smoke and who are motivated to quit will be recruited via web-based advertisements and flyers. Participants receive access to an app and an electronic cigarette with pods containing nicotine for temporary use of at least 3 months. The electronic cigarette is coupled with the app via Bluetooth, allowing for tracking of patterns of use. The behavioral therapy leverages evidence-based content informed by cognitive behavioral therapy and mindfulness-informed principles. Web-based self-report surveys will be conducted at baseline, at 4 weeks, at 8 weeks, at 12 weeks, and at 24 weeks post-baseline. Semi-structured interviews will be conducted at baseline and at 12 weeks post-baseline. Primary outcomes will be self-reported 7-day point prevalence abstinence from smoking at 12 weeks and 24 weeks. Secondary outcomes will include other smoking cessation-related outcomes, psychological outcomes, and acceptability of the nuumi intervention. Descriptive analyses and within-group comparisons will be performed on the quantitative data, and content analyses will be performed on the qualitative data. Recruitment for this study started in October 2023. DISCUSSION: As tobacco smoking is a leading cause of preventable morbidity and mortality, this research addresses one of the largest health burdens of our time. The results will provide insights into the initial efficacy, acceptability, and psychological outcomes of a novel mobile health intervention for smoking cessation. If successful, this pilot may generate an effective intervention supporting adults who smoke to quit smoking. The results will inform feasibility of a future randomized controlled trial. Trial Registration German Clinical Trials Register DRKS00032652, registered 09/15/2023, https://drks.de/search/de/trial/DRKS00032652 .

Differential effects of hypnotherapy and cognitive behavioral therapy on the default mode network of depressed patients.

Hypnosis has been applied in healing procedures since the earliest of recorded history and today it is implemented in a wholesome concept Hypnotherapy (HT1). On a neurophysiological level, hypnosis has been associated with parts of the Default Mode Network (DMN2), but its effects on this network when induced in a treatment setting of a widespread disorder, namely depression, have never been investigated. Depression is associated with abnormal functional connectivity (FC3) of the DMN. Cognitive Behavioral Therapy (CBT4) has proven itself to be an effective treatment for depression; effects of CBT on DMN-related regions are heterogeneous. In the past years, HT was found to be a promising alternative or helpful adjunction. Yet, its underlying mechanisms remain to be unclear. In this original study 75 depressed patients receiving either CBT or HT were included and measured during resting-state before and after therapy with functional near-infrared-spectroscopy (fNIRS5). On symptom level, results show a significant reduction in both groups. On a neurophysiological level, first exploratory analyses hint toward treatment effects in two components of the DMN. However, these effects do not withstand correction for multiple testing. Still, our study is a first stepstone in the investigation of neural mechanisms of HT and offers first ideas about possible implications.

Caregivers' Internet-Delivered Insomnia Intervention Engagement and Benefit: SHUTi-CARE Trial Primary Quantitative Analysis.

BACKGROUND: Delivering insomnia treatment by the Internet holds promise for increasing care access to family caregivers, but their ability to adhere to and benefit from such fully-automated programs has not been rigorously tested. PURPOSE: This fully-powered, single-group trial tested whether characteristics of the caregiving context influence high-intensity caregivers' engagement with and benefit from an empirically validated Internet intervention for insomnia. METHODS: At baseline, caregivers providing unpaid time- and responsibility-intensive care who reported insomnia (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic white, 66% ≥college degree) completed questionnaires about caregiving context and sleep, then 10 prospectively-collected online daily sleep diaries. Caregivers then received access to SHUTi (Sleep Healthy Using the Internet), which has no caregiver-specific content, for 9 weeks, followed by post-assessment (questionnaires, diaries). Engagement was tracked by the SHUTi delivery system. RESULTS: Sixty caregivers completed SHUTi, 22 initiated but did not complete SHUTi, and 18 did not initiate SHUTi. Caregivers were more likely to use SHUTi (than not use SHUTi) when their care recipient (CR) had worse functioning, and were more likely to complete SHUTi when supporting more CR activities of daily living (ADL; ps < .03). Higher caregiver guilt, more CR problem behaviors, and being bedpartners with the CR related to more improved sleep outcomes, whereas supporting more CR instrumental ADL related to less improvement (ps < .05). CONCLUSIONS: Factors associated with greater caregiving burden, including greater CR impairment and caregiving guilt, were generally associated with better engagement and outcomes. Caregivers with substantial burdens can adhere to and benefit from a fully automated insomnia program without caregiver-specific tailoring.

This study examined how family caregivers, who often have trouble sleeping due to their responsibilities, used an online insomnia treatment program. The goal was to determine if certain aspects of caregiving would influence how caregivers engage with or benefit from the program. Researchers surveyed 100 caregivers with insomnia about their caregiving situation and sleep, and caregivers also kept online sleep diaries for 10 days. Afterward, caregivers used an online insomnia program with no caregiver-specific content called Sleep Healthy Using the Internet (SHUTi) for 9 weeks. Caregivers' usage was monitored, and they repeated measures of sleep outcomes and 10 online sleep diaries. Sixty caregivers completed SHUTi, 22 partially completed the program, and 18 did not initiate the program. Caregivers who cared for individuals with more severe functional limitations were more likely to use and complete SHUTi. Additionally, caregivers experiencing more guilt and those who managed more challenging behaviors from the person they cared for tended to report greater improvements in their sleep. This study suggests that caregivers, even those with significant care responsibilities, can use and benefit from an online insomnia treatment program like SHUTi, even when it has not been specifically tailored for caregivers.

Living well with chronic pain: a 12-month randomized controlled trial revealing impact from the digital pain self-management program EPIO.

Introduction: Chronic pain affects a wide range of physical and psychological aspects of life for those impacted. Psychosocial treatment approaches may be of support, but outreach is still limited. Objectives: To evaluate the efficacy of EPIO, an evidence-informed, user-centered digital self-management intervention for people with chronic pain, in a 12-month randomized controlled trial. Methods: People living with chronic pain (N = 266) were randomized to the EPIO intervention (n = 132) or a usual-care control group (n = 134). The intervention was delivered in a simple blended care model, and outcome measures collected at baseline, 6 months, and 12 months. Generalized linear models for repeated measures were fitted to compare groups over time. Results: Participants were primarily female (81%), median age 49 years (range 22-78), with heterogeneous pain conditions, and had lived with pain >5 years (77.6%). A mixed linear model with all timepoints included revealed no statistically significant group differences for the primary outcome of pain interference. Significant psychological benefits in favor of the intervention group were however detected for depression (P = 0.022), self-regulatory fatigue (P = 0.024), vitality (P = 0.016), and mental health (P = 0.047). Baseline to 12-month changes showed additional favorable effects for anxiety (between-group mean differences [MDs] = 0.79, P = 0.047), depression (MD = 1.08, P = 0.004), self-regulatory fatigue (MD = 2.42, P = 0.021), pain catastrophizing (MD = 2.62, P = 0.009), and health-related quality of life. Conclusions: The EPIO program aims to improve outreach of evidence-based pain self-management interventions. Findings demonstrate how using EPIO can lead to sustainable psychological change, enhancing mental health and health-related quality of life for people suffering from pain, providing a chance to live well with the pain.

A scoping review of the evidence on pharmacological and non-pharmacological interventions for idiopathic hypersomnia.

STUDY OBJECTIVES: Idiopathic hypersomnia (IH) is characterized by excessive sleepiness during the day, prolonged sleep at night, and difficulty waking up. The true prevalence of IH is uncertain. ICSD provides criteria for diagnosing IH; however, the definition has evolved. Managing IH involves using pharmacologic and non-pharmacologic approaches, although the most effective strategies are still unclear. The objective of this scoping review was to identify the extent, range, and nature of the available evidence, identify research gaps, and discuss the implications for clinical practice and policy. METHODS: To conduct this review, a comprehensive search was conducted across scientific databases, without any restrictions on the date or study type. Eligible studies examined the effectiveness of pharmacologic and non-pharmacologic treatments for IH and reported the outcomes of these interventions. Data from the studies were screened, analyzed, and synthesized to provide an overview of the available literature landscape. RESULTS: 51 studies were included in this review, which used various methods and interventions. Pharmacological treatments, particularly modafinil, have been frequently studied and have yielded positive results. There is also emerging evidence for alternative medications such as low-sodium oxybate and pitolisant. Non-pharmacological approaches, such as CBT-H and tDCS have also shown promise in managing IH. CONCLUSIONS: This review highlights the complexity of managing IH management and emphasizes the need for personalized multidisciplinary approaches. Pharmacological interventions are important in managing IH and can be complemented by non-medication strategies. Larger-scale studies are necessary to advance our understanding of IH and to improve treatment outcomes.

Predicting response to stepped-care cognitive behavioral therapy for insomnia using pre-treatment heart rate variability in cancer patients.

OBJECTIVE: This study examined whether high frequency heart-rate variability (HF-HRV) and HF-HRV reactivity to worry moderate response to cognitive behavioural therapy for insomnia (CBT-I) within both a standard and stepped-care framework among cancer patients with comorbid insomnia. Biomarkers such as HF-HRV may predict response to CBT-I, a finding which could potentially inform patient allocation to different treatment intensities within a stepped-care framework. METHODS: 177 participants (86.3 % female; Mage = 55.3, SD = 10.4) were randomized to receive either stepped-care or standard CBT-I. 145 participants had their HRV assessed at pre-treatment during a rest and worry period. Insomnia symptoms were assessed using the Insomnia Severity Index (ISI) and daily sleep diary across five timepoints from pre-treatment to a 12-month post-treatment follow-up. RESULTS: Resting HF-HRV was significantly associated with pre-treatment sleep efficiency and sleep onset latency but not ISI score. However, resting HF-HRV did not predict overall changes in insomnia across treatment and follow-up. Similarly, resting HF-HRV did not differentially predict changes in sleep diary parameters across standard or stepped-care groups. HRV reactivity was not related to any of the assessed outcome measures in both cross-sectional and longitudinal analyses. CONCLUSION: Although resting HF-HRV was related to initial daily sleep parameters, HF-HRV measures did not significantly predict longitudinal responses to CBT-I. These findings suggest that HF-HRV does not predict treatment responsiveness to CBT-I interventions of different intensity in cancer patients.

Using Restricted Interests in Cognitive Behavioral Therapy for Children With Autism Spectrum Disorder: Results From a Preliminary Randomized Controlled Trial.

Children with autism spectrum disorder (ASD) exhibit significant deficits in social communication and emotion regulation skills. While cognitive behavioral therapy (CBT) applications appear promising, trials to date have largely excluded social communication skill development and have not been designed to include a wider range of emotional challenges. To our knowledge, the present study is the first to pilot a uniquely modified CBT program targeting emotion regulation, including social communication training, and explicitly focusing on the child's areas of circumscribed interest in order to teach skills and promote generalization. Forty participants were randomly assigned to either the CBT group or a waitlist control (WLC) group, resulting in 20 school-aged children in each group. The treatment approach was determined to be feasible and acceptable, and therapy engagement and attendance were reasonably high. Caregivers expressed high satisfaction with the program, qualitatively citing gains in skills such as social problem-solving, emotion identification, and identifying and processing cognitive distortions. The primary outcome of postintervention changes was not significantly different between the groups (CBT vs. WLC). The mean Social Skills Improvement System score decreased by 0.44 points (95% confidence interval [CI]: -5.04, 4.15) in the CBT group and increased by 0.41 points (95% CI: -4.23, 5.04) in the WLC group, and the postintervention changes were not significantly different between the groups (difference: -0.85; 95% CI: -7.29, 5.60; p = .79). The estimated rate of emotional dysregulation episodes decreased by a factor of 0.94 (95% CI: 0.57, 1.56) in the CBT group and increased by a factor of 1.07 (95% CI: 0.51, 2.24) for WLC (p = .74). Among those who reported emotional dysregulation episodes, the mean duration decreased by 1.39 minutes (95% CI: -3.90, 6.67) less for CBT than waitlist (p = .60). Although satisfaction, acceptability, and emotional dysregulation outcome results from this preliminary CBT treatment for ASD are promising, sample size and measurement limitations will be important considerations to inform future trials.

Investigating an Acceptance and Commitment Therapy-Based Exposure Therapy Intervention in Treatment-Refractory OCD and Related Disorders: Changes in Psychological Flexibility, Treatment Engagement, and Treatment Perceptions.

While exposure therapy is the most effective psychological treatment for obsessive-compulsive disorder (OCD), anxiety, and traumatic stress-related disorders, it is not universally effective, indicating a need for further treatment optimization. This study investigated a shift in approach to exposure therapy with 29 treatment-refractory adults in an OCD clinic not responding to standard treatment, comprising habituation-based exposure therapy. Participants completed standard exposure as a continuation of standard clinic treatment, followed by an acceptance and commitment therapy (ACT) consultation session to assess psychological inflexibility processes interfering with treatment progress, and then an ACT-based exposure targeting behavior change through increasing psychological flexibility. After each exposure, participants and independent raters reported levels of psychological flexibility, rituals, distress, treatment engagement, and treatment perceptions. We observed that the shift to ACT-based exposure was associated with greater psychological flexibility, treatment engagement, treatment acceptability, and treatment preference. These findings suggest that there may be situations where ACT-based exposure has particular utility.

Increasing the Therapeutic Dosage by Combining Cognitive Behavior Group Therapy With a Monitored Self-Help Group.

Objective: A problem in psychotherapy is the limited availability of psychotherapists. This can not only delay the start of therapy but also curtail the number of sessions and the therapeutic dosage. An option to extend the therapeutic dose without an increase in therapist time may be to combine group psychotherapy with a self-help group. The goal of the present study is to investigate how patients judge this treatment mode and to what degree the contents of a regular group treatment are pursued in a parallel self-help group.Method: Seventy-two psychosomatic inpatients participated in cognitive behavior group therapy and parallel self-help group, which was monitored by the therapist during the regular group therapy sessions. Patients in both groups filled in a questionnaire that asked for the content of the group session, how patients had experienced the interaction, and what they had taken from the group.Results: Patients reported that in the self-help group, they discussed similar topics as in the regular group therapy, like how to deal with anxiety or sadness, how to interact with other people, and how to cope with their mental disorder and problems at work, in the family, or with friends. Patients indicated that there was more relaxed chatting in the self-help group, whereas learning new behavior was reported more frequently for the regular group therapy.Conclusions: In the regular group therapy and the guided self-help group, similar topics were discussed, which suggests that a combination of both can extend the therapeutic process and increase the therapeutic dosage without costs for the therapist or the institution.

Are Differences Evident in the Ways Boys and Girls Appraise and Interpret Their Traumatic Experiences? A Qualitative Analysis of Youth Trauma Narratives.

The purpose of this study was to explore potential similarities and differences in the ways boys and girls appraise and interpret their traumatic experiences, and better understand how gender roles, performance, and socialization processes may impact trauma experiences, appraisals, and narratives within the context of trauma-focused treatment. We used thematic analysis to analyze the trauma narratives of youth (N = 16) ages 8-16 who had experienced multiple types (M = 5.38) of child maltreatment and who were receiving Trauma-focused Cognitive Behavioral Therapy to address clinically elevated posttraumatic stress symptoms. Four themes emerged: variations in the content of negative cognitions, differences in relational emotion, adoption of socially prescribed gender roles, and symptom differences. Although many similarities existed in youth's trauma narratives, differences emerged that point to the importance of social context and the ways gender role expectations and socialization processes influence youth's appraisal of and responses to traumatic events. Findings indicate the importance of considering distress tolerance, relational emotion, gender identity development, and role socialization within the treatment milieu.

The Contribution of Shame to Eating Disorder Treatment Outcomes in a Community Mental Health Clinic.

OBJECTIVE: Shame is a powerful self-conscious emotion that is often experienced by individuals with eating disorders (EDs). While the association between EDs and shame is well-established, there is limited research investigating the contribution of pre-treatment shame to clinical outcomes. METHOD: Participants (N = 273) received outpatient cognitive-behavioral therapy for eating disorders (CBT-ED). We investigated pre-treatment shame as a predictor of dropout and as a moderator of change in ED psychopathology and clinical impairment from pre-treatment to post-treatment. We also explored the potentially moderating roles of body mass index, ED diagnostic category, and co-occurring anxiety and depression diagnoses. RESULTS: Shame improved substantially (d = 1.28) despite not being explicitly targeted in treatment. Pre-treatment shame did not predict treatment dropout. Individuals high in shame started and ended treatment with higher ED symptoms and impairment than those with low shame. The contribution of pre-treatment shame on the degree of change in symptoms/impairment depended critically on whether analyses controlled for pre-treatment symptoms/impairment. When those were controlled, high pre-treatment shame was associated with substantially less improvement in ED symptoms and impairment. There was some evidence that ED diagnosis and co-occurring depressive diagnoses may moderate the relationship between shame and treatment outcome. Changes in shame were positively associated with changes in ED symptoms and clinical impairment. DISCUSSION: A high level of shame at pre-treatment is not a contraindication for CBT-ED as good therapeutic outcomes can be achieved. However, outcomes may be enhanced among individuals high in shame by offering adjunctive interventions that explicitly target shame.

Efficacy of cognitive behavioral therapy for anxiety and depression in Parkinson's disease patients: an updated systematic review and meta-analysis.

BACKGROUND: Parkinson's disease (PD) patients often experience non-motor symptoms like depression and anxiety, significantly impacting their quality of life. With the limited effectiveness of pharmacological treatments, effective non-pharmacological interventions are needed. This systematic review and meta-analysis aimed to evaluate the efficacy of cognitive-behavioral therapy (CBT) in reducing depression and anxiety symptoms in PD patients. METHODS: Randomized controlled trials (RCTs) exploring CBT's effectiveness for depression and anxiety in PD patients were included. Studies published until April 2023 were identified from PubMed, Web of Science, and Scopus. Methodological quality was assessed using the Risk of Bias-2 (ROB-2) tool. Statistical analysis involved calculating the standardized mean difference (SMD) and corresponding 95% confidence intervals (CIs) using Review Manager 5.4.1. RESULTS: The systematic review included 12 studies involving 241 PD patients. CBT led to a substantial reduction in anxiety (SMD -0.95, 95% CI [-1.15 to -0.74], P < 0.00001) and depression (SMD -1.02, 95% CI [-1.39 to -0.65], P < 0.0001). Both traditional CBT and tele-CBT (administered over the phone or internet) were effective in treating depression and anxiety. Traditional CBT improved depression (SMD -1.16, 95% CI [-1.83 to -0.49], P < 0.00001), while tele-CBT showed comparable results (SMD -0.90, 95% CI [-1.31 to -0.48], P < 0.00001). For anxiety, both traditional CBT (SMD -0.94, 95% CI [-1.25 to -0.63], P < 0.00001) and tele-CBT (SMD -0.95, 95% CI [-1.22 to -0.67], P < 0.00001) significantly reduced symptoms. In conclusion, this systematic review and meta-analysis demonstrated the efficacy of CBT in reducing depression and anxiety in PD patients. Healthcare providers are encouraged to integrate CBT into their treatment protocols. However, additional high-quality studies with longer-term follow-up assessments are needed to further enhance understanding in this area. PROSPERO REGISTRATION: CRD42023424758.

Neural Responses to Auditory Food Stimuli Following Cognitive Behavioral Therapy for Binge-Eating Disorder.

OBJECTIVE: Adults with binge-eating disorder (BED), compared with those without BED, demonstrate higher blood-oxygen-level-dependent (BOLD) response to food cues in reward-related regions of the brain. It is not known whether cognitive behavioral therapy (CBT) can reverse this reward system hyperactivation. This randomized controlled trial (RCT) assessed changes in BOLD response to binge-eating cues following CBT versus wait-list control (WLC). METHOD: Females with BED (N = 40) were randomized to CBT or WLC. Participants completed assessments at baseline and 16 weeks including measures of eating and appetite and functional magnetic resonance imaging (fMRI) to measure BOLD response while listening to personalized scripts of binge-eating and neutral-relaxing cues. Data were analyzed using general linear models with mixed effects. RESULTS: Overall retention rate was 87.5%. CBT achieved significantly greater reductions in binge-eating episodes than WLC (mean ± standard error decline of 14.6 ± 2.7 vs. 5.7 ± 2.8 episodes in the past 28 days, respectively; p = 0.03). CBT and WLC did not differ significantly in changes in neural responses to binge-eating stimuli during the fMRI sessions. Compared with WLC, CBT had significantly greater improvements in reward-based eating drive, disinhibition, and hunger as assessed by questionnaires (ps < 0.05). DISCUSSION: CBT was effective in reducing binge eating, but, contrary to our hypothesis, CBT did not improve BOLD response to auditory binge-eating stimuli in reward regions of the brain. Further studies are needed to assess mechanisms underlying improvements with CBT for BED. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03604172.

Family Cancer Caregiver Use of and Benefit from an Internet-delivered Insomnia Intervention: Results from a Single-Group Feasibility Trial.

Background: Cancer caregivers are more likely to report clinically significant symptoms of insomnia than cancer patients and the general population, yet research has been limited regarding cognitive-behavioral therapy for insomnia (CBT-I) among this population. Methods: To better understand cancer caregivers' engagement with and benefit from CBT-I, cancer caregivers were enrolled in a nonrandomized pilot feasibility trial of an evidence-based Internet-delivered insomnia program. Thirteen caregivers completed mixed-methods assessments prior to receiving the insomnia program and after the nine-week intervention period. Results: Compared to the five caregivers who did not complete any intervention Cores, the eight caregivers who completed at least one of the intervention Cores tended to report more sleep impairment (insomnia symptom severity; minutes of sleep onset latency and wake after sleep onset), less physical and emotional strain from caregiving, and less maladaptive sleep beliefs at the baseline assessment. These caregivers who used the program also showed large improvements in their insomnia symptoms. Caregivers' qualitative feedback about their experience with the program identified potential areas that might be modified to improve caregivers' engagement with and benefit from Internet-delivered insomnia programs. Conclusions: Findings suggest that family cancer caregivers can use and benefit from a fully-automated Internet-delivered CBT-I program, even without caregiving-specific tailoring. Further rigorous research is needed to better understand whether and how program modifications may allow more caregivers to initiate and engage with this program.

Structural brain changes associated with cocaine use and digital cognitive behavioral therapy in cocaine use disorder treatment.

Background: Few studies have investigated changes in brain structure and function associated with recovery from cocaine use disorder (CUD), and fewer still have identified brain changes associated with specific CUD treatments, which could inform treatment development and optimization. Methods: In this longitudinal study, T1-weighted magnetic resonance imaging scans were acquired from 41 methadone-maintained individuals with CUD (15 women) at the beginning of and after 12 weeks of outpatient treatment. As part of a larger randomized controlled trial, these participants were randomly assigned to receive (or not) computer-based training for cognitive behavioral therapy (CBT4CBT), and galantamine (or placebo). Results: Irrespective of treatment condition, whole-brain voxel-based morphometry analyses revealed a significant decrease in right caudate body, bilateral cerebellum, and right middle temporal gyrus gray matter volume (GMV) at post-treatment relative to the start of treatment. Subsequent region of interest analyses found that greater reductions in right caudate and bilateral cerebellar GMV were associated with higher relative and absolute levels of cocaine use during treatment, respectively. Participants who completed more CBT4CBT modules had a greater reduction in right middle temporal gyrus GMV. Conclusions: These results extend previous findings regarding changes in caudate and cerebellar GMV as a function of cocaine use and provide the first evidence of a change in brain structure as a function of engagement in digital CBT for addiction. These data suggest a novel potential mechanism underlying how CBT4CBT and CBT more broadly may exert therapeutic effects on substance-use-related behaviors through brain regions implicated in semantic knowledge.

A Review of Current Digital Mental Health Care Applications for Anxiety Symptoms and Future Prospects.

OBJECTIVE: Since the impact of the coronavirus disease-2019 pandemic, the need for efficiency in medical services has become more urgent than ever. The digital treatment market is rapidly growing worldwide and digital therapeutics (DTx), a major part of the digital medical services, is also emerging as a new paradigm for treatment, with its industry growing rapidly as well. Increasing research is done on the effectiveness of mobile DTx in improving mental health conditions such as insomnia, panic, and depression. METHODS: This review paper investigates 1) the functions and characteristics of mobile digital mental health care applications for the treatment of anxiety symptoms, 2) extracts common attributes of the applications, and 3) compares them with existing traditional treatment mechanisms. RESULTS: Among the 20,000 mental health management applications that have been developed so far, 8 applications that are relatively widely used were selected and reviewed. Check-in, self-help tips, quick relief, journal, courses for practice are common features of the digital mental health care applications for anxiety and are also widely used feature in the cognitive behavioral therapy. CONCLUSION: Based on this review, we have proposed the essential elements and directions for the development of a Korean digital mental health care applications for anxiety disorders.

The effectiveness of cognitive behavioral therapy for insomnia on sleep outcomes in the context of pain among older adult veterans.

BACKGROUND: Cognitive behavioral therapy for insomnia (CBT-I) is the gold-standard treatment for insomnia disorder in adults. Compared to young adults, older adults have increased risk for the development of conditions associated with chronic pain, which may impact the efficacy of CBT-I in improving insomnia symptoms in older adults. This study evaluated the effect of participant-rated pain on sleep-related outcomes of a supervised, non-clinician administered CBT-I program in older adult patients with chronic insomnia disorder. METHODS: Secondary analysis was conducted using data from a randomized controlled trial among 106 community-dwelling older adult veterans (N = 106; mean age 72.1 years, 96% male, 78.3% White, 6.6% Hispanic, 5.7% African American) with chronic (≥3 months) insomnia disorder. Participants engaged in five sessions of manual-based CBT-I in individual or group format within one Department of Veterans Affairs healthcare system, provided by non-clinician "sleep coaches" who had weekly telephone supervision by behavioral sleep medicine specialists. Insomnia symptoms (Insomnia Severity Index), perceived sleep quality (Pittsburgh Sleep Quality Index), fatigue (Flinder's Fatigue Scale), daytime sleepiness (Epworth Sleepiness Scale), and perceived pain severity (items from the Geriatric Pain Measure) were assessed at 4 time points: baseline, one-week posttreatment, 6-month follow-up, and 12-month follow-up. Mixed effects models with time invariant and time varying predictors were employed for analyses. RESULTS: CBT-I improved insomnia symptoms, perceived sleep quality, fatigue, and daytime sleepiness among older veterans with chronic insomnia. Participant-reported pain was associated with greater improvements in insomnia symptoms following CBT-I. Pain did not affect improvements in other sleep-related outcomes (-0.38 ≤ b ≤ 0.07, p > 0.05). Between-subjects differences in pain, but not within-subject changes in pain over time, appeared to play a central role in insomnia symptom improvement at posttreatment, with individuals with higher-than-average pain showing greater insomnia symptom improvement (ISI score reduction; -0.32 ≤ b ≤ -0.28, p ≤ 0.005). CONCLUSIONS: Pain did not meaningfully hinder the effects of CBT-I on sleep outcomes. Among older veterans with chronic insomnia disorder, individuals with higher pain exhibited slightly greater improvement in insomnia than those with lower levels of pain. These findings suggest that experiencing pain does not impair treatment response and should not preclude older adults with insomnia from being offered CBT-I.