Resting-State Functional Connectivity of the Anterior Cingulate Cortex Among Persons With Mood Disorders and Suicidal Behaviors.

OBJECTIVE: To assess whether anterior cingulate cortex (ACC) abnormalities contribute to suicide risk in major depressive disorder and bipolar disorder, the investigators compared resting-state functional connectivity (rsFC) of ACC subdivisions between individuals with major depressive or bipolar disorder with and without a lifetime history of suicidal behavior. METHODS: Forty-two inpatients with and 26 inpatients without a history of suicidal behavior (SB+ and SB-, respectively) associated with major depressive or bipolar disorder and 40 healthy control (HC) participants underwent rsFC neuroimaging. RsFC of the subgenual, perigenual, rostral, dorsal, and caudal subdivisions of the ACC was calculated. Possible confounders, such as psychosis and severity of depression, were controlled for, seed-to-voxel and post hoc region of interest (ROI)-to-ROI analyses were performed, and the accuracy of rsFC in classifying suicidal behavior was studied. RESULTS: Compared with individuals in the SB- and HC groups, patients in the SB+ group had higher rsFC between the left rostral and right dorsal ACC seeds and visual cortex clusters. Conversely, rsFC between the left rostral and right dorsal ACC seeds and cingulate and frontal clusters was lower in the SB+ group than in the HC group. Left rostral ACC to left Brodmann's area 18 connectivity showed up to 75% discriminative accuracy in distinguishing SB+ from SB- patients. CONCLUSIONS: A history of suicidal behavior among individuals with major depressive disorder or bipolar disorder was associated with altered rsFC of the rostral and caudal ACC, regions involved in conflict detection and error monitoring. Replication of these findings is needed to further explore the involvement of the ACC in the neurobiology of suicidal behavior and suicidal ideation.

Factor Analysis and Validation of the Disturbing Dream and Nightmare Severity Index in an Inpatient Sample.

STUDY OBJECTIVES: The Disturbing Dream and Nightmare Severity Index (DDNSI) has been used widely in research and clinical practice without psychometric evidence supporting its use in clinical samples. The present study aimed to explore and confirm the factor structure of the DDNSI in an inpatient sample. We also sought to test the measure's construct validity. METHODS: Two samples of U.S. inpatients including adult (N = 937) and adolescent (N = 274) participants provided data on nightmares (i.e. DDNSI), sleep quality (i.e. the Pittsburgh Sleep Quality Index) and related psychopathology symptoms (e.g. depression, posttraumatic stress disorder, anxiety). RESULTS: Exploratory and confirmatory factor analyses found the six original items of the DDNSI to load onto a single latent factor. CONCLUSIONS: The DDNSI was found to be a valid measure of nightmare frequency and distress, as it was significantly correlated with the items related to disturbing dreams, and the DDNSI was able to differentiate between nightmares and psychopathology symptoms. Though this research comes nearly two decades after the initial creation and use of the DDNSI, it provides a foundation for the scientific rigor of previous and future studies on nightmares using the DDNSI.

Gender Identity and Mental Health Symptom Severity Among Adolescents Admitted to an Inpatient Psychiatric Hospital.

Transgender youth are at an increased risk of suicide, substance use, experiencing violent assaults, and reporting major depressive episodes and greater psychological distress compared to their cisgender counterparts. This study examined mental health symptom severity in adolescents admitted to an inpatient psychiatric hospital who wished they were of a different gender compared to those who did not. A group of 180 adolescents admitted to an inpatient psychiatric hospital completed assessments to measure mental health symptom severity at admission. Gender diverse (n = 90) and cisgender (n = 90) groups were established. Analyses of variance (ANOVA) were used to examine between group (gender diverse vs. cisgender) difference on depression, anxiety, suicide risk, nighttime sleep quality, and emotion regulation problems. Results revealed significant differences in emotion regulation difficulties at admission, specifically in nonacceptance and awareness. There were no significant differences on measures of depression, anxiety, suicide risk, and nighttime sleep quality at admission. This study is one of the first to measure mental health symptom severity in gender diverse adolescents while admitted to an inpatient psychiatric setting. Adolescents in the gender diverse group had significantly higher level of difficulty with emotion regulation, which may indicate an increased risk of developing psychiatric symptoms such as depression and anxiety. This paper demonstrates the importance of using targeted interventions to address difficulties with emotion regulation in at-risk adolescents.

Nighttime Sleep Quality and Daytime Sleepiness Predicts Suicide Risk in Adults Admitted to an Inpatient Psychiatric Hospital.

As sleep problems have been identified as an important, yet understudied, predictor of suicide risk, the present study analyzed the relationship between daytime sleepiness and nighttime sleep disturbance in a high-risk population of adults admitted to an inpatient psychiatric hospital. Objectives were to (1) examine the time course of subjective daytime sleepiness, nighttime sleep disturbance, and suicide risk throughout inpatient psychiatric treatment, (2) examine pre- to post-treatment changes in sleep disturbance with treatment as usual in an inpatient psychiatric setting, and (3) investigate whether daytime sleepiness and nighttime sleep disturbance predicted suicide risk above and beyond anxiety and depression. Participants were 500 consecutively admitted adults admitted to an intermediate length of stay (4-6 weeks) inpatient psychiatric hospital (47% female; 18-87 years of age). Measures of sleep, suicide risk, depression, and anxiety were completed at admission, weeks 1 through 4, and at discharge. Latent growth curve modeling (LGM) and hierarchal linear modeling (HLM) were conducted. The LGM analysis demonstrated that daytime sleepiness, nighttime sleep disturbance, and suicide risk all improved throughout inpatient treatment. Further, HLM showed that daytime sleepiness predicted suicide risk above and beyond symptoms of anxiety, depression, major sleep medications, and prior suicidal ideation and attempts, while nighttime sleep disturbance predicted suicide risk above and beyond symptoms of anxiety, major sleep medications, and prior suicidal ideation and attempts. Findings indicate the need to reevaluate safety protocols that may impact sleep, particularly that may increase daytime sleepiness, and to develop evidence-based sleep interventions for individuals admitted to inpatient psychiatric hospitals.

An Examination of the Treatment Utility of the MMPI-2-RF: Prediction of Post-Treatment Depressive Symptoms and Increased Understanding of the Therapeutic Alliance in an Inpatient Mood Disorder Treatment.

The study examined the ability of Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) substantive scales to predict depressive symptoms in a psychiatric inpatient setting. The indirect effect of patient-rated alliance with their treatment team on these relationships was also investigated. Participants included 678 (52.5% female, 97.1% White) inpatients diagnosed with a mood disorder. MMPI-2-RF scales, Patient Health Questionnaire (PHQ-9) at intake and discharge, and Working Alliance Inventory-Short at discharge were used to test study hypotheses regarding MMPI-2-RF predictive utility and the influence of alliance. Jacobson and Truax's (1991) reliable change index (RCI) was calculated to identify those who did (74% of the sample) and did not (24%) make reliable and clinically significant depressive symptom change, and the predictive utility of MMPI-2-RF scores in distinguishing these groups was examined. MMPI-2-RF scales assessing internalizing and somatic dysfunction accounted for an additional 2% to 8% of the variance in depressive symptoms reported at discharge, above and beyond depressive symptoms reported at intake. Somatic scales were also able to differentiate groups based on clinically significant change on the PHQ-9 (small-sized effect). The relationship between MMPI-2-RF scales and depressive symptoms at discharge was indirect through alliance in 64% of models. Clinical implications are discussed.

Adolescent Sleep Disturbance, Emotion Regulation and Borderline Features in an Inpatient Setting.

Objective: The current study aimed to examine the relation between sleep disturbance, emotion dysregulation and borderline personality features in adolescent inpatients.Method: N = 217 adolescents (67.1% female; ages 12-17) with the following racial/ethnic breakdown: 67.4% White, 3.7% Hispanic, 2.8% Asian, 1.8% African American, and 6.4% multiracial) completed self-report measures of sleep disturbance, emotion dysregulation and borderline personality symptoms at admission to, discharge from, and at 6-months-post discharge from an inpatient psychiatric hospital. Group comparison and path analyses were conducted to examine differences in sleep disturbance between those with and without borderline personality disorder and the mediating role of emotion dysregulation in the relation between sleep disturbance and borderline personality features.Results: Borderline personality features and emotion dysregulation were significantly related to indices of sleep disturbance. Path models revealed that some sleep disturbance indices at admission directly predicted levels of borderline features at discharge and at 6-months-post-discharge. However, none of the indirect pathways between sleep disturbance at admission, emotion dysregulation at discharge, and borderline features at discharge or 6-months post-discharge were significant.Conclusions: Findings are consistent with prior literature which suggest that a unique relation exists between sleep disturbance and BPD, beyond comorbid depression symptoms. However, contrary to our hypotheses, the current study did not provide empirical support for the mediating role of emotion regulation in this relation. These findings have implications for existing personality disorder and sleep interventions and suggest further research into the mechanisms underlying the relation between sleep disturbance and borderline personality pathology is necessary.

Mobility Performance in Community-Dwelling Older Adults: Potential Digital Biomarkers of Concern about Falling.

INTRODUCTION: Concern about falling is a prevalent worry among community-dwelling older adults and may contribute to a decline in physical and mental health. This study aimed to examine the association between mobility performance and concern about falling. METHODS: Older adults aged 65 years and older, with Mini-Mental State Examination score ≥24, and ambulatory (with or without the assistive device) were included. Concern about falling was evaluated with Falls Efficacy Scale-International (FES-I) scores. Participants with high concern about falling were identified using the cutoff of FES-I ≥23. Participants' motor capacity was assessed in standardized walking tests under single- and dual-task conditions. Participants' mobility performance was measured based on a 48-h trunk accelerometry signal from a wearable pendant sensor. RESULTS: No significant differences were observed at participant characteristics across groups with different levels of concern about falling (low: N = 64, age = 76.3 ± 7.2 years, female = 46%; high: N = 59, age = 79.3 ± 9.1 years, female = 47%), after propensity matching with BMI, age, depression, and cognition. With adjustment of motor capacity (stride velocity and stride length under single- and dual-task walking conditions), participants with high concern about falling had significantly poorer mobility performance than those with low concern about falling, including lower walking quantity (walking bouts, steps and time per day, and walking bout average, walking bout variability, and longest walking bout, p ≤ 0.013), and poorer daily-life gait (stride velocity and gait variability, p ≤ 0.023), and poorer walking quality (frontal gait symmetry, and trunk acceleration and velocity intensity, p ≤ 0.041). The selected mobility performance metrics (daily steps and frontal gait symmetry) could significantly contribute to identifying older adults with high concern about falling (p ≤ 0.042), having better model performance (p = 0.036) than only walking quantity (daily steps) with adjustment of confounding effects from the motor capacity (stride length under dual-task walking condition). CONCLUSION: There is an association between mobility performance and concern about falling in older adults. Mobility performance metrics can serve as predictors to identify older adults with high concern about falling, potentially providing digital biomarkers for clinicians to remotely track older adults' change of concern about falling via applications of remote patient monitoring.

Association of TPH1 and serotonin transporter genotypes with treatment response for suicidal ideation: a preliminary study.

Variants in three genes coding for components of the serotonergic system, the tryptophan hydroxylase 1 (TPH1) rs1799913, serotonin transporter (SLC6A4) 5-HTTLPR, and serotonin receptor 2A (HTR2A) rs6311, were evaluated for association with suicidal ideation (SI) and with recovery from SI in a psychiatric inpatient population. Five hundred and eighty-two adult inpatients, including 390 patients who had SI, collected from December 2012 to April 2016 were assessed. SI recovery, calculated as change in SI between the first two-week period after admission and weeks 5 and 6, was appraised for association with the three variants. In this preliminary study, both TPH1 and 5-HTTLPR genotypes were associated with recovery (TPH1: recessive model, increased recovery with AC genotype, P = 0.026; additive model, increased recovery with AC genotype, P = 0.037; 5-HTTLPR: recessive model, increased recovery with AC, P = 0.043). When patients with comorbid alcohol use disorder (AUD) were removed, given that TPH1 has been associated with alcoholism, the associations of those recovered from SI with TPH1 rs1799913 remained significant for the additive (increased recovery with AC, P = 0.045) and recessive (increased recovery with C-carriers, P = 0.008) models, and with 5-HTTLPR using the dominant model (increased recovery with S'S', P = 0.016). In females, an association of SI recovery with TPH1 rs1799913 was found using a recessive model (increased recovery with C-carriers, P = 0.031), with 5-HTTLPR using additive (increased recovery with L'S', P = 0.048) and recessive (increased recovery with S'S', P = 0.042) models. Additionally, an association of SI with TPH1 rs1799913 was found in females using both additive (increased risk in AC, P = 0.033) and recessive (increased risk in C-carriers, P = 0.043) models, and with 5-HTTLPR using a recessive model (increased risk in S'S', P = 0.030). This study provides evidence that variation in the TPH1 and serotonin transporter genes play key roles in moderating recovery from SI during treatment in an inpatient psychiatric clinic.

Secular trends in weight, stature, and body mass index in Nova Scotia, Canada.

OBJECTIVES: The present study aims to investigate the secular trends of weight, stature, and BMI values in a Nova Scotian sample from 1946 to 1999, with particular focus on how these trends may relate to nutrition and the evolving obesity epidemic. METHODS: Data were collected from investigative (autopsy) records of 1645 individuals (1287 males, 358 females) of European descent at the Nova Scotia Medical Examiner Service. Secular trends were evaluated by linear regression of weight, stature, and BMI with respect to the year of birth. Further analysis of this sample was based on five time periods (birth cohorts), in order to determine whether dramatic shifts in diet and nutrition affected weight, stature, and BMI. RESULTS: Overall, the results of this study demonstrate positive secular trends in weight, stature, and BMI from 1946 to 1999 in the Nova Scotian sample. Subsequent analysis among different time periods shows a secular increase in the weight of Nova Scotian males from 1946 to 1979, and a subsequent decrease in weight in after 1980. For Nova Scotian females, the results show a secular increase in weight from 1946 to 1989, and a subsequent decrease in weight after 1990. Such secular increases in weight coincide with the global nutrition transition, while recent decreasing median weight values may reflect economic growth and urbanization in Nova Scotia. CONCLUSIONS: Overall, the results of the present study indicate that temporal trends in nutrition may have contributed to positive secular changes in weight, stature, and BMI in Nova Scotia, Canada between 1946 and 1999.

Resting-State Functional Connectivity of the Habenula in Mood Disorder Patients With and Without Suicide-Related Behaviors.

The habenula is a small midbrain structure that is important for brain signaling and learning from negative events. Thus, the habenula is strongly connected to both the reward system and motor regions. Increasing evidence suggests a role for the habenula in the etiology of psychiatric disorders, including mood and substance use disorders. However, no studies to date have investigated habenular resting-state functional connectivity (rsFC) in suicide-related behaviors (SB). The authors enrolled 123 individuals with major depressive disorder (MDD) or bipolar disorder and a history of suicide-related behaviors (SB+), 74 individuals with MDD or bipolar disorder and a history of suicidal ideation but no history of SB (SB-), and 75 healthy control subjects (HC). A seed-based approach was used to identify regions showing different rsFC with the habenula followed by region of interest to region of interest post hoc comparisons. Compared with both the SB- and HC groups, the SB+ group showed higher connectivity between the left habenula and the left parahippocampal gyrus, the right amygdala, and the right precentral and postcentral gyri. Patients with mood disorders displayed higher rsFC between the left habenula and left middle temporal gyrus, the left angular gyrus, and the left posterior cingulate cortex, as well as lower rsFC between the right habenula and the left thalamus, when compared with HCs. These findings suggest that the habenula is involved in the neural circuitry of suicide. The higher habenular rsFC found in the SB+ group may mediate a dysfunction in the mechanism that links the habenula with motor activity and contextual associative processing.

Body dissatisfaction and suicidal ideation among psychiatric inpatients with eating disorders.

The current study the relationship between eating disorders (EDs) and suicidal ideation and suicide attempt in adult inpatients. In particular, the present study investigated one potential mechanism, body dissatisfaction (BD), which may contribute to increased risk for suicide in adult ED patients. A sample of 432 psychiatric inpatients ranging from 18 to 65 years of age participated in the current study. Findings indicated that patients who have higher levels of BD also had higher levels of passive and active suicidal ideation and previous suicide attempts. Higher levels of BD were also related to increased suicidal ideation after controlling for depression and emotion dysregulation. Although additional risk factors for suicide should be investigated in adults with EDs, this study provides evidence regarding the relationship between BD and risk for suicide ideation and attempt.

Clinical utility of the DSM-5 alternative model for borderline personality disorder: Differential diagnostic accuracy of the BFI, SCID-II-PQ, and PID-5.

BACKGROUND: With the publication of DSM 5 alternative model for personality disorders it is critical to assess the components of the model against evidence-based models such as the five factor model and the DSM-IV-TR categorical model. This study explored the relative clinical utility of these models in screening for borderline personality disorder (BPD). METHODS: Receiver operator characteristics and diagnostic efficiency statistics were calculated for three personality measures to ascertain the relative diagnostic efficiency of each measure. A total of 1653 adult inpatients at a specialist psychiatric hospital completed SCID-II interviews. Sample 1 (n=653) completed the SCID-II interviews, SCID-II Questionnaire (SCID-II-PQ) and the Big Five Inventory (BFI), while Sample 2 (n=1,000) completed the SCID-II interviews, Personality Inventory for DSM5 (PID-5) and the BFI. RESULTS: BFI measure evidenced moderate accuracy for two composites: High Neuroticism+ low agreeableness composite (AUC=0.72, SE=0.01, p<0.001) and High Neuroticism+ Low+Low Conscientiousness (AUC=0.73, SE=0.01, p<0.0001). The SCID-II-PQ evidenced moderate-to-excellent accuracy (AUC=0.86, SE=0.02, p<0.0001) with a good balance of specificity (SP=0.80) and sensitivity (SN=0.78). The PID-5 BPD algorithm (consisting of elevated emotional lability, anxiousness, separation insecurity, hostility, depressivity, impulsivity, and risk taking) evidenced moderate-to-excellent accuracy (AUC=0.87, SE=0.01, p<0.0001) with a good balance of specificity (SP=0.76) and sensitivity (SN=0.81). CONCLUSIONS: Findings generally support the use of SCID-II-PQ and PID-5 BPD algorithm for screening purposes. Furthermore, findings support the accuracy of the DSM 5 alternative model Criteria B trait constellation for diagnosing BPD. Limitations of the study include the single inpatient setting and use of two discrete samples to assess PID-5 and SCID-II-PQ.

A Novel Approach to Identifying a Neuroimaging Biomarker for Patients With Serious Mental Illness.

Serious mental illness (SMI) is disabling, and current interventions are ineffective for many. This exploratory study sought to demonstrate the feasibility of applying topological data analysis (TDA) to resting-state functional connectivity data obtained from a heterogeneous sample of 235 adult inpatients to identify a biomarker of treatment response. TDA identified two groups based on connectivity between the prefrontal cortex and striatal regions: patients admitted with greater functional connectivity between these regions evidenced less improvement from admission to discharge than patients with lesser connectivity between them. TDA identified a potential biomarker of an attenuated treatment response among inpatients with SMI. Insofar as the observed pattern of resting-state functional connectivity collected early during treatment is replicable, this potential biomarker may indicate the need to modify standard of care for a small, albeit meaningful, percentage of patients.

Increased habenular connectivity in opioid users is associated with an α5 subunit nicotinic receptor genetic variant.

BACKGROUND AND OBJECTIVES: Opioid use disorder (OUD) is a chronic disorder with relapse based on both desire for reinforcement (craving) and avoidance of withdrawal. The aversive aspect of dependence and relapse has been associated with a small brain structure called the habenula, which expresses large numbers of both opioid and nicotinic receptors. Additionally, opioid withdrawal symptoms can be induced in opioid-treated rodents by blocking not only opioid, but also nicotinic receptors. This receptor co-localization and cross-induction of withdrawal therefore might lead to genetic variation in the nicotinic receptor influencing development of human opioid dependence through its impact on the aversive components of opioid dependence. METHODS: We studied habenular resting state functional connectivity with related brain structures, specifically the striatum. We compared abstinent psychiatric patients who use opioids (N = 51) to psychiatric patients who do not (N = 254) to identify an endophenotype of opioid use that focused on withdrawal avoidance and aversion rather than the more commonly examined craving aspects of relapse. RESULTS: We found that habenula-striatal connectivity was stronger in opioid-using patients. Increased habenula-striatum connectivity was observed in opioid-using patients with the low risk rs16969968 GG genotype, but not in patients carrying the high risk AG or AA genotypes. CONCLUSIONS: We propose that increased habenula-striatum functional connectivity may be modulated by the nicotinic receptor variant rs16969968 and may lead to increased opioid use. SCIENTIFIC SIGNIFICANCE: Our data uncovered a promising brain target for development of novel anti-addiction therapies and may help the development of personalized therapies against opioid abuse. (Am J Addict 2017;26:751-759).

Neuroanatomical and neurofunctional markers of social cognition in autism spectrum disorder.

Social impairments in autism spectrum disorder (ASD), a hallmark feature of its diagnosis, may underlie specific neural signatures that can aid in differentiating between those with and without ASD. To assess common and consistent patterns of differences in brain responses underlying social cognition in ASD, this study applied an activation likelihood estimation (ALE) meta-analysis to results from 50 neuroimaging studies of social cognition in children and adults with ASD. In addition, the group ALE clusters of activation obtained from this was used as a social brain mask to perform surface-based cortical morphometry (SBM) in an empirical structural MRI dataset collected from 55 ASD and 60 typically developing (TD) control participants. Overall, the ALE meta-analysis revealed consistent differences in activation in the posterior superior temporal sulcus at the temporoparietal junction, middle frontal gyrus, fusiform face area (FFA), inferior frontal gyrus (IFG), amygdala, insula, and cingulate cortex between ASD and TD individuals. SBM analysis showed alterations in the thickness, volume, and surface area in individuals with ASD in STS, insula, and FFA. Increased cortical thickness was found in individuals with ASD, the IFG. The results of this study provide functional and anatomical bases of social cognition abnormalities in ASD by identifying common signatures from a large pool of neuroimaging studies. These findings provide new insights into the quest for a neuroimaging-based marker for ASD. Hum Brain Mapp 37:3957-3978, 2016. © 2016 Wiley Periodicals, Inc.

Broad implications for respiratory sinus arrhythmia development: associations with childhood symptoms of psychopathology in a community sample.

Replicating the group-based developmental trajectory methodology from our prior study (Patriquin, Lorenzi, Scarpa, & Bell. 2014. Developmental Psychobiology, 56, 317-326), the current study examines the development of baseline respiratory sinus arrhythmia (RSA) across a new, larger cohort of typically developing children at 5, 10, 24, 36, and 48 months of age and examines the trajectory relationship with symptoms of childhood psychopathology. Group-based developmental trajectory modeling replicated our prior findings of a two-group model fit: a "High RSA" and "Low RSA" group. The "Low RSA" group, which demonstrated lower baseline RSA across all time points, had significantly more childhood problems at 48 months, namely increased withdrawal, aggressive behavior, pervasive developmental problems, and oppositional defiant problems. All participants for whom there were developmental or autism spectrum concerns (n = 6; based on maternal report at 48 months) were allocated to the Low RSA trajectory group. These results suggest that consistent developmental trajectories of RSA may point to protective factors (i.e., high RSA) against developing symptoms of childhood psychopathology.

Developmental trajectories of respiratory sinus arrhythmia: associations with social responsiveness.

The present longitudinal study examined relations between respiratory sinus arrhythmia (RSA) development and social responsiveness characteristics associated with autism spectrum disorders. Group-based developmental trajectory modeling was used to characterize RSA development patterns in 106 typically developing children across 5, 10, 24, 36, and 48 months of age. A two-group model fit of RSA development was found: a "typically" and "atypically" developing group. The typical group gradually increased in RSA across 5-48 months of age. The atypical group, however, increased in RSA from 5 to 24 months and demonstrated a plateau or "delay" in RSA development from 24 to 48 months. The atypical RSA development group also demonstrated more difficulties in parent-reported social responsiveness at 48 months. The results support current literature that identifies RSA as a marker of social functioning level.

Difficulties in emotion regulation moderates the relationship between mood symptoms and nightmares in an inpatient psychiatric sample.

BACKGROUND: Emotional processing and regulation of affect are often impaired in psychiatric patients. Nightmares could be considered a manifestation of problems with this process. In the present study, we examined how depression, anxiety and suicidal risk related to difficulties in emotion regulation and nightmares over the course of inpatient treatment. We also explored whether emotion regulation problems moderated the relationship between changes in depression, anxiety, and suicide risk to changes in nightmares from admission to discharge. METHODS: The present study included 1215 adults admitted to an inpatient psychiatric hospital ranging from 18 to 87 years of age (M = 37.18, SD = 16.14). Mood symptoms, emotion regulation difficulties, nightmares and suicide risk were assessed at admission and discharge. Moderation analyses were calculated using Model 1 of the PROCESS Macro (Hayes, 2013). RESULTS: Moderation analyses showed the associations between depression and nightmares (b = 0.25, p < .001) and suicide and nightmares (b = 0.34, p < .001) were strongest when patients had high levels of emotion regulation difficulties. Emotion regulation difficulties did not, however, moderate the relationship between anxiety and nightmares. Furthermore, improvement in depression and nightmares was significantly related to improvement in emotion regulation difficulties. LIMITATIONS: The homogeneity of the sample limits the generalizability of the results. Furthermore, the use of self-report measures, especially sleep related assessments, can bias the data more than objective measures. CONCLUSIONS: These findings provide clinical implications when treating psychiatric patients such as a need for emotion regulation skills building.

Examination of reward processing dysfunctions in the left dorsal striatum and other brain regions among psychiatric inpatients with substance use.

BACKGROUND: Substance misuse is a major public health issue and research has established attenuated reward responses to drug cues in those who misuse substances. Yet, little is known about whether the expectation of natural reinforcers engages distinct brain regions in substance misuse. METHODS: Using functional magnetic resonance imaging (fMRI), we delivered juice at expected and unexpected times to examine reward processing dysfunctions. We focused on the responses within the left dorsal striatum (DS) in individuals with high-risk substance use (HRU, n = 65), low-risk substance use (psychiatric controls, PC, n = 65), and healthy controls (HC, n = 65). Additionally, we investigated whether the dysfunction in reward processing within the left DS is correlated with other common psychiatric symptoms. Finally, we conducted a comprehensive analysis of the whole brain to investigate other non-hypothesized brain regions. RESULTS: Compared to HC, HRU displayed lower responses to juice delivery (i.e., reward) in the left DS (p <.05). The whole-brain analysis demonstrated that compared to HC, HRU displayed significantly lower responses to reward stimuli in various brain regions, including the bilateral caudate, temporal gyrus, left frontal gyrus, middle frontal gyrus, and right thalamus. LIMITATIONS: Participants were individuals with polysubstance use; therefore, we were not able to examine the effects of individual substances. CONCLUSIONS: Our findings suggest that HRU displays lower responses to reward stimuli within the left DS and other non-hypothesized brain regions. Our findings may help further elucidate reward processing dysfunctions related to substance misuse.

The state of (mis) trust: Human-centered technology development & implementation in intensive mental health settings.

Innovative technology-based solutions in mental healthcare promise significant improvements in care quality and clinical outcomes. However, their successful implementation is profoundly influenced by the levels of trust patients hold toward their treatment providers, organizations, and the technology itself. This paper delves into the complexities of building and assessing patient trust within the intensive mental health care context, focusing on inpatient settings. We explore the multifaceted nature of trust, including interpersonal, institutional, and technological trust. We highlight the crucial role of therapeutic trust, which comprises both interpersonal trust between patients and providers, and institutional trust in treatment organizations. The manuscript identifies potential key barriers to trust, from sociocultural background to a patient's psychopathology. Furthermore, it examines the concept of technological trust, emphasizing the influence of digital literacy, socio-economic status, and user experience on patients' acceptance of digital health innovations. By emphasizing the importance of assessing and addressing the state of trust among patients, the overarching goal is to leverage digital innovations to enhance mental healthcare outcomes within intensive mental health settings.