Family dementia caregivers with suicidal ideation improve with mentalizing imagery therapy: Results from a pilot study.

Background: Family caregivers of persons living with dementia often experience increased depression and suicidal ideation (SI). However, the feasibility and impact of therapies on caregiver SI has remained largely unexplored. Mentalizing imagery therapy (MIT) helps reduce psychological symptoms through mindfulness and guided imagery. This pilot study examined the feasibility of participation by caregivers with SI in a randomized controlled trial (RCT) of MIT versus a psychosocial support group (SG), and the respective impact of group on SI, depression, and secondary outcomes. Methods: A secondary analysis of data from an RCT of 4-week MIT or SG for caregivers (n = 46) was performed, identifying SI (n = 23) and non-SI (n = 23) cohorts. Group attendance and home practice were compared between cohorts. In the SI cohort (total n = 23, MIT n = 11, SG n = 12), group differences in SI, depression, and secondary outcomes were evaluated post-group and at 4-month follow-up. Results: Attendance in both groups and home practice in MIT were similar between SI and non-SI cohorts. In the SI cohort, MIT evinced greater improvements relative to SG in SI (p=.02) and depression (p=.02) post-group, and other secondary outcomes at follow-up. Limitations: Limitations include small sample size and single-item assessments of SI from validated depression rating scales. Conclusions: Participation in an RCT was feasible for caregivers with SI. MIT resulted in important benefits for SI and depression, while SG showed no acute SI benefit. The role of MIT in improving SI should be confirmed with adequately powered trials, as effective therapies to address caregiver SI are critical.

A Randomized Controlled Trial of Community-Delivered Heated Hatha Yoga for Moderate-to-Severe Depression.

Objective: To evaluate feasibility, acceptability, and preliminary efficacy of heated yoga to treat moderate-to-severe depression.Design: An 8-week randomized controlled trial (RCT) of heated yoga versus waitlist control was conducted from March 2017 to August 2019.Methods: Participants in the yoga condition were asked to attend heated yoga classes at 2 community heated yoga studios at least twice weekly. We assessed acceptability and feasibility using exit interview and attendance data, respectively. The primary intervention efficacy outcome variable was change in the Inventory of Depressive Symptomatology-Clinician Rated (IDS-CR) score from baseline to post-intervention (week 8).Results: We randomized 80 participants and included 65 (mean [± SD] age 32.7 [± 11.7] years; 81.5% female) in the analyses (yoga n = 33, waitlist n = 32). The mean IDS-CR score at baseline was 35.6 (± 7.9) for the full sample, 36.9 (± 8.8) for yoga participants, and 34.4 (± 6.7) for waitlist participants. Participants attended an average of 10.3 (± 7.1) total classes over the 8-week intervention period. Yoga participants had a significantly greater pre- to post-intervention reduction in IDS-CR scores than waitlist participants (Cohen d = 1.04, P < .001). More yoga participants (59.3%; n = 16) than waitlist participants (6.3%; n = 2) evidenced larger treatment responses (IDS-CR ≥ 50% decrease in symptoms). Participants rated the heated yoga and its aftereffects positively in exit interviews.Conclusions: Approximately 1 heated yoga session per week (mean of 10.3 classes over 8 weeks) was associated with significantly greater reduction in depression symptoms than a waitlist control. Participants rated heated yoga positively. Taken together, results suggest feasibility, acceptability, and preliminary efficacy for patients with depression and warrant further research using active control conditions.Trial Registration: ClinicalTrials.gov identifier: NCT02607514.

Virtual mentalizing imagery therapy for Spanish language Latino family dementia caregivers: A feasibility and acceptability study.

Spanish speaking family caregivers of people living with dementia have limited supportive resources in Spanish. There are few validated, culturally acceptable virtual interventions for reducing these caregivers' psychological distress. We investigated the feasibility of a Spanish language adaptation of a virtual Mentalizing Imagery Therapy (MIT) program, which provides guided imagery and mindfulness training to reduce depression, increase mentalizing, and promote well-being. 12 Spanish-speaking family dementia caregivers received a 4-week virtual MIT program. Follow-up was obtained post group and at 4 months post baseline assessment. Feasibility, acceptability, and satisfaction with MIT were assessed. The primary psychological outcome was depressive symptoms; secondary outcomes included caregiver burden, dispositional mindfulness, perceived stress, well-being, interpersonal support, and neurological quality of life. Statistical analysis was performed with mixed linear models. Caregivers were 52 ± 8 (mean ± SD) years of age. 60% had a high school education or less. Participation in weekly group meetings was 100%. Home practice was performed on average 4 ± 1 times per week [range 2-5]. Satisfaction with MIT reached 19 ± 2 of a possible 20 points. Reduction in depression from baseline was observed by week three (p = 0.01) and maintained at 4 month follow-up (p = 0.05). There were significant improvements in mindfulness post-group, and in caregiver burden and well-being at 4 months. MIT was successfully adapted for Latino Spanish language family dementia caregivers within a virtual group environment. MIT is feasible and acceptable and may help reduce depressive symptoms and improve subjective well-being. Larger, randomized controlled trials of MIT should determine durability of effects and validate efficacy in this population.

Effectiveness of Mindful Self-Compassion Training Supported by Online Peer Groups in China: A Pilot Study.

Context: Self-compassion training involves the cultivation of feelings of warmth and safety, presence, and interconnectedness. Mindful Self-Compassion (MSC) training in a group setting has been found to increase self-compassion, mindfulness, and emotional well-being. Objective: The current study intended to examine the outcomes of live, online, videoconference-based MSC training with online peer-support for nonclinical populations in different cities in China. Design: The research team designed a pre-post pilot study. Setting: The study took place at Renmin University in Beijing, China. Participants: Participants were 253 Chinese individuals who were recruited from different regions in China through online advertisements. Intervention: Participants took part in online MSC training in a two-hour, group class each week for eight weeks and received support from online peer groups and through a half-day in-person retreat. Outcome Measures: Self-report outcomes were obtained at baseline and postintervention, using the Self Compassion Scale (SCS) and the Compassion for Others Scale (CS) for primary outcomes, and the Depression, Anxiety, and Stress Scale (DASS-21), the Fear of Compassion Scale (FOCS), the Satisfaction with Life Scale (SWLS), the Subjective Happiness Scale (SHS), and the Cognitive and Affective Mindfulness Scale (CAMS-R), for secondary outcomes. A fixed effects model was used to test for within-group changes in the scales. Results: The online MSC program yielded a high retention rate. Of the 206 first-time participants, 179 (86.9%) attended six or more of the eight MSC sessions, and 183 (88.8%) completed the assessments at both baseline and postintervention. Of the 183 retained participants, 97.8% were female, with an average age of 37.8 ± 7.9; 94% had college or higher education. For all scales, the within-person changes occurred in the expected direction; positive attributes and experiences increased, while negative attributes and experiences decreased. Conclusions: The study showed that first-time participants in China in an online MSC training that was supported by online peer groups had high attendance rates, high assessment completion, and favorable results. These preliminary outcomes suggest that future studies with more rigorous designs are warranted to further investigate online training with peer support as an effective and efficient approach to disseminate MSC training in China.

Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study.

BACKGROUND: Smartphones are increasingly used in health research. They provide a continuous connection between participants and researchers to monitor long-term health trajectories of large populations at a fraction of the cost of traditional research studies. However, despite the potential of using smartphones in remote research, there is an urgent need to develop effective strategies to reach, recruit, and retain the target populations in a representative and equitable manner. OBJECTIVE: We aimed to investigate the impact of combining different recruitment and incentive distribution approaches used in remote research on cohort characteristics and long-term retention. The real-world factors significantly impacting active and passive data collection were also evaluated. METHODS: We conducted a secondary data analysis of participant recruitment and retention using data from a large remote observation study aimed at understanding real-world factors linked to cold, influenza, and the impact of traumatic brain injury on daily functioning. We conducted recruitment in 2 phases between March 15, 2020, and January 4, 2022. Over 10,000 smartphone owners in the United States were recruited to provide 12 weeks of daily surveys and smartphone-based passive-sensing data. Using multivariate statistics, we investigated the potential impact of different recruitment and incentive distribution approaches on cohort characteristics. Survival analysis was used to assess the effects of sociodemographic characteristics on participant retention across the 2 recruitment phases. Associations between passive data-sharing patterns and demographic characteristics of the cohort were evaluated using logistic regression. RESULTS: We analyzed over 330,000 days of engagement data collected from 10,000 participants. Our key findings are as follows: first, the overall characteristics of participants recruited using digital advertisements on social media and news media differed significantly from those of participants recruited using crowdsourcing platforms (Prolific and Amazon Mechanical Turk; P<.001). Second, participant retention in the study varied significantly across study phases, recruitment sources, and socioeconomic and demographic factors (P<.001). Third, notable differences in passive data collection were associated with device type (Android vs iOS) and participants' sociodemographic characteristics. Black or African American participants were significantly less likely to share passive sensor data streams than non-Hispanic White participants (odds ratio 0.44-0.49, 95% CI 0.35-0.61; P<.001). Fourth, participants were more likely to adhere to baseline surveys if the surveys were administered immediately after enrollment. Fifth, technical glitches could significantly impact real-world data collection in remote settings, which can severely impact generation of reliable evidence. CONCLUSIONS: Our findings highlight several factors, such as recruitment platforms, incentive distribution frequency, the timing of baseline surveys, device heterogeneity, and technical glitches in data collection infrastructure, that could impact remote long-term data collection. Combined together, these empirical findings could help inform best practices for monitoring anomalies during real-world data collection and for recruiting and retaining target populations in a representative and equitable manner.

How family dementia caregivers perceive benefits of a 4-week Mentalizing Imagery Therapy program: a pilot study.

Background: Family caregivers of dementia patients experience high levels of interpersonal stress that often results in elevated anxiety, and depression, and negative impacts on interpersonal relationships. Changes in behaviors and the structure of relationships with the care recipient (CR) and others in the social milieu challenge the caregivers' ability to mentalize, or understand the links between mental states and behaviors. This study investigates the experiences and perceived benefits of family dementia caregivers who underwent Mentalizing Imagery Therapy (MIT), a treatment aiming to improve balanced self-other mentalizing and reduce psychological symptoms. Methods: Purposeful sampling was used to select 11 family dementia caregivers who underwent a 4-week pilot trial of MIT. Semi-structured interviews were completed post-intervention to identify subjective benefits, putative psychological mediators and perceived active components. Results: Caregivers reported improvements in well-being, mood, anxiety, and sleep, and a majority stated MIT helped with forming and maintaining healthier relationships. Some participants noted benefits extending to how they reacted to their social environment and perceived themselves more objectively from others' perspectives. Specific elements of MIT, including self-compassion, self-care, and the ability to reflect on emotionally arousing challenges, might have mediated these improvements. Conclusion: Family dementia caregivers perceived salutary benefits of MIT on multiple domains of well-being. The self reports suggest MIT holds promise for improving well-being, reducing non-mentalizing patterns of thought, and facilitating improvements in balanced mentalization within the caregivers' relationships.

Quantifying and addressing the impact of measurement error in network models.

Network psychometric models are often estimated using a single indicator for each node in the network, thus failing to consider potential measurement error. In this study, we investigate the impact of measurement error on cross-sectional network models. First, we conduct a simulation study to evaluate the performance of models based on single indicators as well as models that utilize information from multiple indicators per node, including average scores, factor scores, and latent variables. Our results demonstrate that measurement error impairs the reliability and performance of network models, especially when using single indicators. The reliability and performance of network models improves substantially with increasing sample size and when using methods that combine information from multiple indicators per node. Second, we use empirical data from the STAR*D trial (n = 3,731) to further evaluate the impact of measurement error. In the STAR*D trial, depression symptoms were assessed via three questionnaires, providing multiple indicators per symptom. Consistent with our simulation results, we find that when using sub-samples of this dataset, the discrepancy between the three single-indicator networks (one network per questionnaire) diminishes with increasing sample size. Together, our simulated and empirical findings provide evidence that measurement error can hinder network estimation when working with smaller samples and offers guidance on methods to mitigate measurement error.

Olfactory Function and Markers of Brain Pathology in Non-Demented Individuals with Autosomal Dominant Alzheimer's Disease.

BACKGROUND: Olfactory dysfunction is one of the earliest signs of Alzheimer's disease (AD), highlighting its potential use as a biomarker for early detection. It has also been linked to progression from mild cognitive impairment (MCI) to dementia. OBJECTIVE: To study olfactory function and its associations with markers of AD brain pathology in non-demented mutation carriers of an autosomal dominant AD (ADAD) mutation and non-carrier family members. METHODS: We analyzed cross-sectional data from 16 non-demented carriers of the Presenilin1 E280A ADAD mutation (mean age [SD]: 40.1 [5.3], and 19 non-carrier family members (mean age [SD]: 36.0 [5.5]) from Colombia, who completed olfactory and cognitive testing and underwent amyloid and tau positron emission tomography (PET) imaging. RESULTS: Worse olfactory identification performance was associated with greater age in mutation carriers (r = -0.52 p = 0.037). In carriers, worse olfactory identification performance was related to worse MMSE scores (r = 0.55, p = 0.024) and CERAD delayed recall (r = 0.63, p = 0.007) and greater cortical amyloid-ß (r = -0.53, p = 0.042) and tau pathology burden (entorhinal: r = -0.59, p = 0.016; inferior temporal: r = -0.52, p = 0.038). CONCLUSION: Worse performance on olfactory identification tasks was associated with greater age, a proxy for disease progression in this genetically vulnerable ADAD cohort. In addition, this is the first study to report olfactory dysfunction in ADAD mutation carriers with diagnosis of MCI and its correlation with abnormal accumulation of tau pathology in the entorhinal region. Taken together, our findings suggest that olfactory dysfunction has promise as an early marker of brain pathology and future risk for dementia.

Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping.

More than 50 million people worldwide live with a dementia, and most are cared for by family members. Family caregivers often experience chronic stress and insomnia, resulting in decreased mental and physical health. Accessibility of in-person stress reduction therapy is limited due to caregiver time constraints and distance from therapy sites. Mentalizing imagery therapy (MIT) provides mindfulness and guided imagery tools to reduce stress, promote self and other understanding, and increase feelings of interconnectedness. Combining MIT with caregiver skills training might enable caregivers to both reduce stress and better utilize newly learned caregiving skills, but this has never been studied. Delivering MIT through a smartphone application (App) has the potential to overcome difficulties with scalability and dissemination and offers caregivers an easy-to-use format. Harnessing passive smartphone data provides an important opportunity to study behavioral changes continuously and with higher granularity than routine clinical assessments. This protocol describes a randomized, controlled, superiority trial in which 120 family dementia caregivers, aged 60 years or older, will be assigned to smartphone App delivery of caregiver skills with MIT (experimental condition) or without MIT (control condition). The primary objectives of the trial are to assess whether the experimental condition is superior to control on reducing family caregiver stress, insomnia and related outcomes and to demonstrate the feasibility of developing behavioral markers from passive smartphone data that predict health outcomes in older adults. Trial outcomes may inform the suitability of our intervention for caregivers and provide new methods for assessment of older adults.

Four-Week Mentalizing Imagery Therapy for Family Dementia Caregivers: A Randomized Controlled Trial with Neural Circuit Changes.

INTRODUCTION: Family caregivers of patients with dementia suffer a high burden of depression and reduced positive emotions. Mentalizing imagery therapy (MIT) provides mindfulness and guided imagery skills training to improve balanced mentalizing and emotion regulation. OBJECTIVE: Our aims were to test the hypotheses that MIT for family caregivers would reduce depression symptoms and improve positive psychological traits more than a support group (SG), and would increase dorsolateral prefrontal cortex (DLPFC) connectivity and reduce subgenual anterior cingulate cortex (sgACC) connectivity. METHODS: Forty-six caregivers participated in a randomized controlled trial comparing a 4-week MIT group (n = 24) versus an SG (n = 22). Resting state neuroimaging was obtained at baseline and post-group in 28 caregivers, and questionnaires completed by all participants. The primary outcome was change in depression; secondary measures included anxiety, mindfulness, self-compassion, and well-being. Brain networks with participation of DLPFC and sgACC were identified. Connectivity strengths of DLPFC and sgACC with respective networks were determined with dual regression. DLPFC connectivity was correlated with mindfulness and depression outcomes. RESULTS: MIT significantly outperformed SG in improving depression, anxiety, mindfulness, self-compassion, and well-being, with moderate to large effect sizes. Relative to SG, participants in MIT showed significant increases in DLPFC connectivity - exactly replicating pilot study results - but no change in sgACC. DLPFC connectivity change correlated positively with mindfulness and negatively with depression change. CONCLUSIONS: In this trial, MIT was superior to SG for reducing depression and anxiety symptoms and improving positive psychological traits. Neuroimaging results suggested that strengthening DLPFC connectivity with an emotion regulation network might be mechanistically related to MIT effects.

Meditative and Mindfulness-Focused Interventions in Neurology: Principles, Science, and Patient Selection.

A growing body of research suggests that meditative- and mindfulness-focused interventions may improve neuropsychiatric symptoms that commonly occur in a range of neurological disorders. In this article, the principles of meditation and mindfulness are first defined, as well as briefly describing the neurobiological mechanisms implicated in these interventions. Thereafter, a range of meditative- and mindfulness-focused interventions are detailed, along with their supporting evidence to treat neuropsychiatric symptoms in neurological conditions (e.g., headache, movement disorders, chronic pain, etc.). Overall, these interventions warrant further investigation among individuals with neurological conditions. When recommending these interventions, health care professionals must consider a combination of structural (e.g., insurance reimbursement) and patient factors (e.g., ability to tolerate a group setting).

Use of Staging Models for Treatment-Resistant Depression Is Not Helpful in Predicting Nonresponse to Acute Intravenous Ketamine Treatment.

BACKGROUND: Some staging models for treatment-resistant depression (TRD) have been developed in the attempt to predict treatment outcome, in particular with electroconvulsive therapy. However, these models have not been tested in predicting clinical outcome of ketamine treatment. We assessed the relationship between patients' classification with different TRD staging models and subsequent nonresponse to acute intravenous ketamine treatment. METHODS: A sample of 120 patients with TRD who received acute ketamine treatment from October 2018 to November 2020 were included. Intravenous ketamine was administered twice weekly for 3 weeks as acute treatment. Generalized linear models were fitted to examine if staging classification at baseline could predict percent change in the 16-item Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR16) scale. Potential confounders such as age, sex, and primary diagnosis were included in the models. Other generalized linear models were also fitted with the Bonferroni correction to investigate if other clinical variables of potential relevance could predict percent change in the QIDS-SR16. RESULTS: No TRD staging model proved accurate in predicting depressive improvement after acute ketamine treatment. Clinical variables such as age (F = 6.68, P = 0.01) and history of neuromodulation therapy (F = 5.12, P = 0.03) were negatively associated with subsequent percent improvement in the QIDS-SR16 with acute ketamine treatment. CONCLUSIONS: The efficacy of acute intravenous ketamine treatment was similar in subjects with higher and lower level of treatment resistance, using definitions based on different TRD staging models. Further exploration of ketamine treatment predictors such as age and neuromodulation therapy is warranted.

Mentalizing imagery therapy for depressed family dementia caregivers: Feasibility, clinical outcomes and brain connectivity changes.

BACKGROUND: Family dementia caregivers experience high rates of depression and anxiety that often go untreated due to time demands. We aimed to determine the feasibility of a brief, 4-week Mentalizing Imagery Therapy intervention, which couples mindfulness with guided imagery practices aimed at bolstering mentalizing capacity, to reduce caregiver psychological symptoms and to explore potential impact on dorsolateral prefrontal cortex connectivity. METHODS: Twenty-four family dementia caregivers with moderate depression symptoms (a score of 10 in Patient Health Questionnaire-9) were assigned to either group Mentalizing Imagery Therapy (MIT, n = 12) or a waitlist augmented by optional relaxation exercises (n = 12). Participants completed questionnaires to measure depression and anxiety at baseline and followup, and those eligible also underwent resting state functional magnetic resonance (fMRI) brain imaging at these time points. RESULTS: Eleven of 12 caregivers assigned to MIT completed the intervention and attended weekly groups 98% of the time. MIT home practice logs indicated average practice of 5 ± 2 sessions per week for 23 ± 8 min per session. All participants in waitlist completed the post-assessment. MIT participants exhibited significantly greater improvement than waitlist on self-reported depression and anxiety symptoms (p<.05) after 4 weeks. Neuroimaging results revealed increased dorsolateral prefrontal cortex connectivity with a putative emotion regulation network in the MIT group (p = .05) but not in waitlist (p = 1.0). LIMITATIONS: Sample size limitations necessitate validation of findings in larger, randomized controlled trials. CONCLUSIONS: A 4-week group MIT program was feasible for caregivers, with high levels of participation in weekly group meetings and home practice exercises.

Diminished Age-Related Decline of the Amygdala in Long-Term Meditation Practitioners.

OBJECTIVE: A growing body of scientific evidence suggests that meditation may slow brain aging. The amygdala-a heterogenous brain region known to decrease in volume with increasing age-seems to be involved in meditation and affected by meditation. Thus, we hypothesized that the age-related decline of the amygdala is diminished in meditation practitioners. METHODS: We investigated whether correlations between age and gray matter volumes of the amygdala are significantly reduced in 50 long-term meditators compared with 50 sex- and age-matched healthy controls. Both the meditator and control groups included 44% women. The age of the participants ranged between 24 and 77 years, with mean (standard deviation) ages of 50.4 (±11.8) years in meditators and 51.4 (±12.8) years in controls. In addition to studying the amygdala as a whole, we investigated its centromedial, laterobasal, and superficial subregions using a well-validated approach combining imaging-based signal intensities and cytoarchitectonically defined probabilities. RESULTS: We detected significant group-by-age interactions for the whole amygdala and for its subregions. Follow-up analyses indicated negative age-related correlations in both meditators and controls (the older the participants, the smaller the volumes) but with significantly steeper aging trajectories in controls. CONCLUSIONS: Altogether, these findings suggest that the age-related volume loss of the amygdala is less pronounced in long-term meditators. This effect was particularly evident for the laterobasal subregion, which has been functionally linked to aspects of self-focused reflection.

Change processes in cognitive behavioral therapy and motivational interviewing for depression and heavy alcohol use: A network approach.

Objective: Both cognitive behavioral therapy for depression (CBT-D) combined with brief motivational interviewing (CBT-D + BMI) and alone are associated with symptom improvement among college students with co-occurring depression and heavy episodic drinking (HED). However, little is known about change processes underlying these different treatments.The current study uses a network approach to examine change process that may differentially underlie CBT-D + BMI relative to CBT alone. Methods: Participants included 94 college students with depression and HED who were randomized to either eight weeks of CBT-D + BMI or CBT alone. A network approach was adopted to examine how treatment condition influenced changes in the network structure of depression symptoms, heavy drinking, drinking motives, and consequences of alcohol. Network analyses were conducted using change scores representing the eight-week difference from pre-treatment to post-treatment assessments. Results: Relative to CBT-D alone, the combined CBT-D + BMI treatment influenced the symptom network structure by preferentially targeting reductions in drinking to cope motives and in the depression symptom 'loss of interest'. Conclusion: The current study revealed that combined CBT-D + BMI may confer therapeutic benefit through different network structure pathways than CBT-D alone. Specifically, augmenting CBT-D with BMI may influence change processes related to drinking motives, such as drinking to cope.

Long-term outcome in outpatients with depression treated with acute and maintenance intravenous ketamine: A retrospective chart review.

BACKGROUND: Little is known about the long-term outcomes of repeated ketamine infusions for depression. We conducted a retrospective chart review to investigate outcomes of maintenance intravenous ketamine treatment at Massachusetts General Hospital. METHODS: Eighty-five patients with treatment-resistant depression (TRD) who started intravenous ketamine from October 2018 to November 2019 were examined. Symptom severity was evaluated with the 16-item Quick Inventory of Depressive Symptomatology-Self Report scale (QIDS-SR16) at every visit prior to administration. The initial ketamine dose was usually 0.5 mg/kg infused over 40 min. Intravenous ketamine was administered twice-weekly for three weeks in an induction phase, followed by maintenance with a variable administration schedule and dose. Response was defined as a ≥50% reduction in total QIDS-SR16 score from baseline. RESULTS: Forty (47.1%) of the 85 patients who started treatment discontinued during or right after the induction phase; 3 (3.5%) were still on induction at the time of this report, and 42 (49.4%) transitioned to maintenance after completing induction. Among these patients, 14 (16.5%) discontinued during maintenance and 28 (32.9%) continued on maintenance. The mean ketamine dosage during maintenance was 0.91±0.28 mg/kg. Fifteen out of 82 patients (18.3%) responded to induction treatment and 6 (7.3%) remained in responder status at the time of data analysis during maintenance. Three patients discontinued ketamine due to side-effects. CONCLUSIONS: Despite the apparently low response rate in QIDS-SR16 scores and considerable out-of-pocket costs, almost half of real-world outpatients with TRD decided to continue with maintenance ketamine treatment due to perceived significant improvement.

Mentalizing Imagery Therapy: Theory and case series of imagery and mindfulness techniques to understand self and others.

Facilitating mentalization, or the ability to understand mental states and their link to behavior, is increasingly viewed as a common mechanism of action across effective psychotherapies. Here we present an overview of a new set of contemplative psychotherapeutic techniques, Mentalizing Imagery Therapy (MIT), that uses guided imagery and mindfulness practices to facilitate mentalization. MIT aims to reduce negative psychological symptoms by stimulating an understanding of mental states and their links to behavior in self and others, including in challenging interpersonal situations. Case discussions of MIT in personality disordered and depressed patients are used to illustrate theoretical points and the specific practical benefits of MIT. We conclude that there are promising indications that the imagery and mindfulness practices of MIT, that are specifically targeted to facilitate insight in the context of attachment relationship challenges, may help to improve mentalization and reduce symptoms of depression and anxiety. Both in practice and with respect to its articulated goals, MIT promotes a distinct set of capacities from other mindfulness or compassion based therapies. Further research is required to determine the clinical efficacy of MIT in controlled trials.

Mentalizing Imagery Therapy Mobile App to Enhance the Mood of Family Dementia Caregivers: Feasibility and Limited Efficacy Testing.

BACKGROUND: Family caregivers of patients with Alzheimer disease and related dementias (AD and ADRD) often experience high stress and are at high risk for depression. Technologically delivered therapy is attractive for AD and ADRD caregivers because of the time demands associated with in-person participation. OBJECTIVE: We aimed to study the feasibility and conduct limited efficacy testing of a mobile app intervention delivering mentalizing imagery therapy (MIT) for family caregivers. METHODS: A 4-week trial of the MIT app for family AD and ADRD caregivers was conducted to assess the feasibility of use and investigate changes in depression symptoms, mood, and caregiving experience. Semistructured interviews were conducted to characterize participants' perceived feasibility and benefits. RESULTS: A total of 17 of the 21 (80%) consented participants (mean age 67 years, range 54-79) utilized the app at least once and were further analyzed. Average usage of audio recordings was on 14 (SD 10) days out of 28 possible and comprised 29 (SD 28) individual sessions. There were improvements in depression with a large effect size for those who used the app at least moderately (P=.008), increases in positive mood postintervention (P<.05), and acute increases in mood following daily guided imagery practice (Stretching and Breathing, P<.001; Eye in the Center, P<.001; Nesting Doll, P=.002; Situation Solver, P=.003; and Life Globe, P=.006). Semistructured interviews revealed perceived benefits such as greater ability to remain "centered" despite caregiving challenges and positive reframing of the caregiver experience. CONCLUSIONS: App delivery of MIT is feasible for family AD and ADRD caregivers, including aging seniors. Results showed moderate to high usage of the app for a majority of users. Limited efficacy testing provides justification for studying the MIT app for AD and ADRD caregivers to improve mood and reduce depression in larger, controlled trials.

Longer-term open-label study of adjunctive riluzole in treatment-resistant depression.

BACKGROUND: While riluzole has been investigated for the treatment of depression, little is known about its longer-term efficacy and optimal treatment duration in treatment-resistant depression (TRD). The objective of this study is to characterize the longer-term outcome of adjunctive riluzole therapy for TRD in an open-label extension of an 8-week acute treatment trial. METHODS: The data from 66 patients with TRD who received adjunctive riluzole in a 12-week open-label extension phase were analyzed. Response rates (⩾50% reduction in the Mongomery-Asberg Depression Rating Scale [MADRS] score), relapse rates (a MADRS score of ⩾22 in patients who had previously achieved response), and adverse events were examined in patients who had achieved response at the end of the acute phase and those who had not. RESULTS: Among acute phase responders, the maintained response rate was 66.7% (8/12) and the relapse rate was 8.3% (1/12). In acute phase non-responders, the response rate was 24.1% (13/54). The most commonly reported adverse event was fatigue (9.1%). Three cases were considered serious adverse events; vomiting (n = 1), shortness of breath (n = 1), and aborted suicide attempt (n = 1). LIMITATIONS: This longer-term study was open-label and uncontrolled. The sample size was relatively small. CONCLUSIONS: Longer-term adjunctive riluzole appears relatively well tolerated and beneficial for maintaining previous response. Additionally, approximately one fourth of patients who did not respond to 8-week antidepressant treatment might respond if treated with riluzole for 12 weeks. Those findings warrant further investigation because adjunctive riluzole could represent an option for treatment of depression when standard antidepressants have failed.

Cortisol, moderated by age, is associated with antidepressant treatment outcome and memory improvement in Major Depressive Disorder: A retrospective analysis.

BACKGROUND: Studies testing the relationship between cortisol levels, depression, and antidepressant treatment response have yielded divergent results suggesting the possibility of moderators of a cortisol effect. Several studies indicate that age may moderate the relationship between cortisol and depression. In patients with Major Depressive Disorder (MDD), we studied the interactive effects of age and cortisol in association with MDD diagnostic status and mood and memory response to antidepressant treatment. METHODS: Serum cortisol levels in 66 unmedicated patients with MDD and 75 matched healthy controls (HC) were measured at baseline and retrospectively analyzed. Logistic regression was used to determine an association of age, cortisol and their interaction with MDD diagnosis in the pooled sample of MDD and HC participants. Thirty-four of the MDD participants (age range: 19-65 years; median: 36) underwent treatment with a selective serotonin reuptake inhibitor (SSRl) for 8 weeks. Clinician and self-ratings of depression symptoms, as well as tests of verbal and visual delayed recall were obtained at baseline and post treatment. Moderation analyses determined the effect of age on the relationship between baseline cortisol and treatment outcome. RESULTS: Cortisol, moderated by age, was associated with MDD diagnosis (p < .05), treatment-associated reduction of depression symptoms (p < .001) and improvement of delayed recall (p < .001). Modeling the Cortisol × Age interaction suggested that for participants below the median age of our sample, lower cortisol levels were associated with a lower rate of MDD diagnosis and higher antidepressant effects. On the contrary, in those above the median sample age, lower cortisol was associated with a higher rate of MDD and less improvement in depression symptoms and memory performance. CONCLUSIONS: Our results add to the body of literature suggesting that age might be an important factor in moderating the relationship between peripheral cortisol levels, depression, cognition, and prognosis. These results indicate that previous disparities in the literature linking peripheral cortisol levels with depression characteristics and treatment response may critically relate, at least in part, to the age of the participants studied.