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Objective: This study determined the clinical utility of an fMRI classification algorithm predicting medication‐class of response in patients with challenging mood diagnoses. Methods: Ninety‐nine 16–27‐year‐olds underwent resting state fMRI scans in three groups—BD, MDD and healthy controls. A predictive algorithm was trained and cross‐validated on the known‐diagnosis patients using maximally spatially independent components (ICs), constructing a similarity matrix among subjects, partitioning the matrix in kernel space and optimizing support vector machine classifiers and IC combinations. This classifier was also applied to each of 12 new individual patients with unclear mood disorder diagnoses. Results: Classification within the known‐diagnosis group was approximately 92.4% accurate. The five maximally contributory ICs were identified. Applied to the complicated patients, the algorithm diagnosis was consistent with optimal medication‐class of response to sustained recovery in 11 of 12 cases (i.e., almost 92% accuracy). Conclusion: This classification algorithm performed well for the know‐diagnosis but also predicted medication‐class of response in difficult‐to‐diagnose patients. Further research can enhance this approach and extend these findings to be more clinically accessible. [ABSTRACT FROM AUTHOR]

Objectives: To characterize health related quality of life (HRQOL) for Canadians aged 16 to 25 (adolescents and young adults, AYAs) seeking care for mood and anxiety concerns at the First Episode Mood and Anxiety Program, in London, Ontario and to identify factors associated with HRQOL in this population., Methods: AYAs completed demographic, psychometric, and HRQOL questionnaires. We calculated 36-Item Short-Form Health Survey (SF-36) scores standardized to Canadian and US population norms. We computed Short Form 6 Dimension (SF-6D) utilities conducting multivariable linear regression analysis, adjusting for age, sex, ethnoracial minority status, parental marital/cohabitation status, parental education, the Anxiety Sensitivity Index (ASI-R), Montgomery-Åsberg Depression Rating Scale Self-Report (MADRS-S), Sheehan Disability Scale (SDS), and a modified Inventory of College Students' Recent Life Experiences (ICSRLE-M)., Results: Amongst 182 AYAs who completed questionnaires, mean physical component summary (PCS), mental component summary (MCS) and SF-6D utility scores were low, 43.8 (SD = 16.6), 19.0 (SD = 11.9) and .576 (SD = .074), respectively. Maternal post-secondary education, depression (MADRS-S) and functional impairment (SDS) were significantly associated with SF-6D utility., Conclusion: This cohort of mental healthcare-seeking AYAs had significantly impaired psychometric and utility-based measures of quality of life, underscoring the importance of timely access to healthcare services for this population., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Medicine often employs the 4Ps of predisposing, precipitating, perpetuating , and protective factors to identify salient influences on illness states, and to help guide patient care. Mental illness is a significant cause of morbidity and mortality worldwide. Mental health is a complex combination of biological, psychological, environmental, and social factors. There is growing interest in the gut-brain-microbiome (GBM) axis and its impact on mental health. We use the medical model of the 4Ps to explore factors involving the connection between nutrition and the GBM axis and their associated risks with mental health problems in emerging adults (EAs), a life stage when mental illness onset is the most common. We review the impact of current dietary trends on the GBM and on mental health, and the role that gut microbiome-based interventions can have in modulating the GBM axis of EAs. We discuss the implications of gut health on the GBM and areas for clinical intervention., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Warren, O’Connor, Lee, Burton, Walton, Keathley, Wammes and Osuch.)

Emerging adulthood (ages 18-25) is a critical period for neurobiological development and the maturation of the hypothalamic-pituitary-adrenal axis. Recent findings also suggest that a natural perturbation of the gut microbiota (GM), combined with other factors, may create a unique vulnerability during this period of life. The GM of emerging adults is thought to be simpler, less diverse, and more unstable than either younger or older people. We postulate that this plasticity in the GM suggests a role in the rising mental health issues seen in westernized societies today via the gut-brain-microbiota axis. Studies have paid particular attention to the diversity of the microbiota, the specific function and abundance of bacteria, and the production of metabolites. In this narrative review, we focus specifically on diet, physical activity/exercise, substance use, and sleep in the context of the emerging adult. We propose that this is a crucial period for establishing a stable and more resilient microbiome for optimal health into adulthood. Recommendations will be made about future research into possible behavioral adjustments that may be beneficial to endorse during this critical period to reduce the probability of a "dysbiotic" GM and the emergence and severity of mental health concerns.

Aim: The COVID-19 quarantine closed many mental health services. Emerging adults with pre-existing mood or anxiety disorders were of concern for worsening symptoms. We sought to demonstrate a method for monitoring mental health status of a group of patients with reduced access to their usual mental health services during quarantine., Methods: A total of 326 patients enrolled in the First-Episode Mood and Anxiety Program in London, Ontario, Canada were invited to participate in online questionnaires regularly. Patients were flagged for high level of risk based on depression scores, suicidal ideation and worsening in anxiety, depression or quality of health. All patients were also asked if they wanted contact with a clinician., Results: One hundred and fourteen (35%) patients completed at least one questionnaire. Thirty were flagged based on scores; 37 (32.5%) participating patients requested help. Participants who were flagged for concerning scores were younger, more likely to be on the wait list for treatment, to have been laid off from work and have more functional impairment. Participants requesting support had higher symptom scores for depression and lower scores on quality of health., Conclusions: The process utilized here identified patients at risk and in need of clinical support in the context of pandemic quarantine. It provided an accessible avenue for invited patients to communicate both symptom status and need for contact. Such a process can provide valuable monitoring during times when the usual communications between patients and health care providers is compromised and clinician time is limited. It is easily implemented., (© 2021 John Wiley & Sons Australia, Ltd.)

In people with mental health issues, approximately 20% have co-occurring substance use, often involving cannabis. Although emotion regulation can be affected both by major depressive disorder (MDD) and by cannabis use, the relationship among all three factors is unknown. In this study, we used fMRI to evaluate the effect that cannabis use and MDD have on brain activation during an emotion regulation task. Differences were assessed in 74 emerging adults aged 16-23 with and without MDD who either used or did not use cannabis. Severity of depressive symptoms, emotion regulation style, and age of cannabis use onset were also measured. Both MDD and cannabis use interacted with the emotion regulation task in the left temporal lobe, however the location of the interaction differed for each factor. Specifically, MDD showed an interaction with emotion regulation in the middle temporal gyrus, whereas cannabis use showed an interaction in the superior temporal gyrus. Emotion regulation style predicted activity in the right superior frontal gyrus, however, this did not interact with MDD or cannabis use. Severity of depressive symptoms interacted with the emotion regulation task in the left middle temporal gyrus. The results highlight the influence of cannabis use and MDD on emotion regulation processing, suggesting that both may have a broader impact on the brain than previously thought., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Aim: To compare young adults' expectations of psychiatric treatment to their actual experiences and identify myths and assumptions that youth might hold prior to receiving care., Methods: We interviewed youth who engaged in at least 4 months of treatment at the First Episode Mood and Anxiety Program to theme saturation (N = 20). They were asked about their experience of treatment and the expectations they had prior to care. Transcribed interviews were analysed for themes., Results: Results indicated that participants often expected a cold, serious atmosphere, a "quick fix," and a directive therapeutic relationship. Although most patients had a negative experience at some point in their care, they overall described a welcoming environment with engaged providers and a collaborative therapeutic relationship. Participants found treatment more complex than they had anticipated, but ultimately experienced strengthening of agency and a change in perspective., Conclusions: These results identify a need to recognize assumptions held by young adults seeking treatment for mental health symptoms. Addressing these preconceptions might reduce apprehension and improve readiness for treatment. This research provides direction on how to dispel myths and better prepare youth for the work involved in effective psychiatric care., (© 2018 John Wiley & Sons Australia, Ltd.)

Objective: Effective mental health services for emerging adults are needed. This work evaluated the logic model of one such program and assessed participation and medium-term outcomes., Methods: Baseline data were collected from 398 emerging adults attending an intake appointment at a mood and anxiety disorders treatment program in Canada for persons ages 16-25. Questionnaires about demographic characteristics, prior help seeking, symptoms, functional impairment, and health satisfaction were completed at baseline and at follow-up, approximately 2 to 10 months later (mean=6 months), depending on participants' availability and willingness. Program satisfaction was also assessed. Preentry characteristics and disengagement were evaluated. Repeated-measures analyses were used to evaluate outcomes., Results: The program did not require physician referral; however, emerging adults who contacted the program had extensive prior help seeking: 73% had seen a family doctor and 32% had visited an emergency department. Among 370 individuals for whom full intake data were available, scores indicated moderate depression, moderate anxiety, and low satisfaction with quality of health. They reported either not functioning or underfunctioning for a mean of 4.3 days per week. Follow-up data indicated significant improvement on all measures, including clinically significant improvement in both depression and functioning. Patient satisfaction was high, and quality of health improved significantly., Conclusions: Results indicate that the model studied, which emphasizes early-stage intervention for mood and anxiety disorders among emerging adults, was associated with statistical and clinical improvement at intermediate follow-up. Outputs and medium-term outcomes of the model were satisfied.

This study examined presenting concerns and characteristics of emerging adults (EAs) seeking treatment at an early intervention program for mood and anxiety disorders to better understand presenting concerns when treatment is needed. During an intake assessment conducted by a social worker or clinical psychologist, participants (N = 548; 62% female, 38% male) reported their top three current life concerns, which were analyzed qualitatively using thematic analysis. Participants completed a battery of questionnaires assessing demographic information, symptomatology, and daily functioning. Females presented with significantly higher levels of anxiety, and both females and younger individuals (age 16-18) presented with significantly higher levels of depression compared to males and older individuals (age 19-26), respectively. The two most commonly reported presenting concerns were problems in interpersonal relationships and academics, and females were more likely to report academic concerns than males. The majority of participants reported seeking help for a wide range of problems commonly faced by EAs (83.7%), and participants rarely expressed concerns about particular symptoms of mood and/or anxiety disorders (16.3%). EAs and those supporting EAs may benefit from learning when psychosocial concerns are indicative of mental health challenges warranting professional attention.

In this study we explored adolescent perceptions of what was most helpful and most challenging about mental health treatment for mood and/or anxiety disorders. Youth seeking treatment at the First Episode Mood and Anxiety Program were recruited to participate in a follow-up survey about their experiences of mental health care services. Responses to two open-ended questions were analyzed for emerging themes and differences between age groups and gender. Males were more likely to report therapy as being helpful than females, 16-18 year olds were more likely to report medication as a challenge to treatment and 19-26 year olds were more likely to report accessing services as a challenge to treatment. Understanding what helps and what hinders treatment-seeking youth can guide both clinical treatment and service delivery models for this population.

Discriminating between bipolar disorder (BD) and major depressive disorder (MDD) is a major clinical challenge due to the absence of known biomarkers; hence a better understanding of their pathophysiology and brain alterations is urgently needed. Given the complexity, feature selection is especially important in neuroimaging applications, however, feature dimension and model understanding present serious challenges. In this study, a novel feature selection approach based on linear support vector machine with a forward-backward search strategy (SVM-FoBa) was developed and applied to structural and resting-state functional magnetic resonance imaging data collected from 21 BD, 25 MDD and 23 healthy controls. Discriminative features were drawn from both data modalities, with which the classification of BD and MDD achieved an accuracy of 92.1% (1,000 bootstrap resamples). Weight analysis of the selected features further revealed that the inferior frontal gyrus may characterize a central role in BD-MDD differentiation, in addition to the default mode network and the cerebellum. A modality-wise comparison also suggested that functional information outweighs anatomical by a large margin when classifying the two clinical disorders. This work validated the advantages of multimodal joint analysis and the effectiveness of SVM-FoBa, which has potential for use in identifying possible biomarkers for several mental disorders.

Prior research has shown a relationship between early onset marijuana (MJ) use and depression; however, this relationship is complex and poorly understood. Here, we utilized passive music listening and fMRI to examine functional brain activation to a rewarding stimulus in 75 participants [healthy controls (HC), patients with major depressive disorder (MDD), frequent MJ users, and the combination of MDD and MJ (MDD + MJ)]. For each participant, a preferred and neutral piece of instrumental music was determined (utilizing ratings on a standardized scale), and each completed two 6-min fMRI scans of a passive music listening task. Data underwent pre-processing and 61 participants were carried forward for analysis (17 HC, 15 MDD, 15 MJ, 14 MDD + MJ). Two statistical analyses were performed using SPM8, an analysis of covariance with two factors (group × music type) and a whole brain, multiple regression analysis incorporating two predictors of interest [MJ use in past 28 days; and Beck Depression Inventory (BDI) score]. We identified a significant group × music type interaction. Post hoc comparisons showed that the preferred music had significantly greater activation in the MDD + MJ group in areas including the right middle and inferior frontal gyri extending into the claustrum and putamen and the anterior cingulate. No significant differences were identified in MDD, MJ, or HC groups. Multiple regression analysis showed that activation in medial frontal cortex was positively correlated with amount of MJ use, and activation in areas including the insula was negatively correlated with BDI score. Results showed modulation in brain activation during passive music listening specific to MDD, frequent MJ users. This supports the suggestion that frequent MJ use, when combined with MDD, is associated with changes in neurocircuitry involved in reward processing in ways that are absent with either frequent MJ use or MDD alone. This could help inform clinical recommendations for youth with MDD.