Family History Of Mood Disorders Research Articles

Brain 5-HT1A Receptor PET Binding, Cortisol Responses to Stress, and the Familial Transmission of Suicidal Behavior.

BackgroundThe serotonin 1A (5-HT1A) receptor has been implicated in depression and suicidal behavior. Lower resting cortisol levels are associated with higher 5-HT1A receptor binding, and both differentiate suicide attempters with depression. However, it is not clear whether 5-HT1A receptor binding and cortisol responses to stress are related to familial risk and resilience for suicidal behavior.Methods[11C]CUMI-101 positron emission tomography imaging to quantify regional brain 5-HT1A receptor binding was conducted in individuals considered to be at high risk for mood disorder or suicidal behavior on the basis of having a first- or second-degree relative(s) with an early onset mood disorder and history of suicidal behavior. These high-risk individuals were subdivided into the following groups: high risk resilient having no mood disorder or suicidal behavior (n = 29); high risk with mood disorder and no suicidal behavior history (n = 31); and high risk with mood disorder and suicidal behavior (n = 25). Groups were compared with healthy volunteers without a family history of mood disorder or suicidal behavior (n = 34). Participants underwent the Trier Social Stress Task (TSST). All participants were free from psychotropic medications at the time of the TSST and PET scanning.ResultsWe observed no group differences in 5-HT1A receptor binding considering all regions simultaneously, nor did we observe heterogeneity of the effect of group across regions. These results were similar across outcome measures (BPND for all participants and BPp in a subset of the sample) and definitions of regions of interest (ROIs; standard or serotonin system-specific ROIs). We also found no group differences on TSST outcomes. Within the high risk with mood disorder and suicidal behavior group, lower BPp binding (β = −0.084, SE = 0.038, P = .048) and higher cortisol reactivity to stress (β = 9.25, 95% CI [3.27,15.23], P = .004) were associated with higher lethality attempts. There were no significant relationships between 5-HT1A binding and cortisol outcomes.Conclusions5-HT1A receptor binding in ROIs was not linked to familial risk or resilience protecting against suicidal behavior or mood disorder although it may be related to lethality of suicide attempt. Future studies are needed to better understand the biological mechanisms implicated in familial risk for suicidal behavior and how hypothalamic-pituitary-adrenal axis function influences such risk.

Evaluation and treatment of older-age bipolar disorder: a narrative review.

ObjectivesThis narrative review aims to synthesize information from the literature regarding older-age bipolar disorder (OABD) in order to provide up-to-date information on this important illness.MethodsWe searched Ovid (Medline, Embase and PsychInfo) on October 1, 2020, using the keywords “bipolar disorder”, “older adults” and “elderly” to identify relevant articles on OABD. Additionally, the bibliography of identified articles was reviewed for pertinent studies.DiscussionsOABD is a term that is used to describe bipolar disorder (BD) occurring amongst individuals ≥50 years of age. Evidence indicates that OABD accounts for a quarter of all cases of BD. When compared to individuals with early-onset BD, individuals with OABD have a greater association with cerebrovascular disease and other neurological disorders, less family history of mood disorders, and utilize almost four times the total amount of mental health services. In addition, they are four times more likely to have psychiatric hospitalizations when compared to age-matched controls. Despite a dearth of controlled studies on the use of pharmacotherapy amongst individuals with OABD, available evidence from mixed-age studies indicates the efficacy of commonly used medications in individuals with early-onset BD. Additionally, psychosocial treatments have been found to be effective as adjunctive management strategies amongst individuals with OABD. Furthermore, electroconvulsive therapy may be effective in the treatment of refractory cases of OABD.ConclusionsThere is a great need for an improved understanding of the phenomenology and neurobiology of OABD. Additionally, research into effective treatments for this serious psychiatric disorder will mitigate the suffering of individuals with OABD.

Family history of mood disorders and concomitant psychopathology in patients with depression

IntroductionA family history (FH) of mood disorders is an important clinical feature that affects the risk of depression and its clinical manifestations during the course of the disease.ObjectivesTo assess the impact of FH in patients with depression on the presence of concomitant psychiatric disorders.MethodsThis cross-sectional study included 172 patients with depression (64.5% women; age - 40,87±15,86 years). The M.I.N.I. was conducted to verify the diagnosis of psychiatric disorders. FH is based on indirect reports of patients.ResultsThe most prevalent concomitant psychiatric diagnoses in patients with depression were generalized anxiety disorder (GAD; 26,2%), panic disorder (24,4%) and social anxiety disorder (13,4%). FH was recorded in 52 (30.2%) patients with depression. Patients with depression and FH more often had concomitant GAD (with FH - 20 (38,5%), without FH - 25 (20,8%); p=0.016). Women with depression and FH showed a higher rate of early onset (before age 18) of depression (with FH - 10 (32,3%), without FH - 10 (12,5%); p=0.015). Men with depression and FH more often had concomitant GAD (with FH - 10 (47,6%), without FH - 8 (20%); p=0.025). Logistic regression revealed that FH was associated with GAD in patients with depression (p=0.019).ConclusionsFH of mood disorders in patients with depression is associated with specific concomitant psychopathology. Further genetic studies are needed to explain this comorbidity.

Characteristics of unipolar depression in psychiatric inpatients

IntroductionUnipolar depression is daily encountered in psychiatry.ObjectivesTo describe the socio-demographic and clinical characteristics of patients with unipolar depression.MethodsThis is a cross-sectional, descriptive study carried out at the psychiatric department of the University Hospital of Mahdia. We have included patients with unipolar depression. The data were collected from patients’ medical files using a pre-established 37-item questionnaire.ResultsWe have collected 53 patients. The mean age was 44 years. The majority of patients were female (56.6%) and unemployed (70%). 47.2% of patients were married. 72% of patients had a low socio-economic level. They were smokers in 45.3% of cases. Alcohol consumption was found in 24.5% of cases. A family history of mood disorder and suicide or attempted suicide were present in 7% and 13.2% of the cases respectively. 7% of the patients had a history of a postpartum thymic episode. The mean number of depressive episodes was 2.5. Personal history of suicide attempts was found in 40% of cases. The mean age of the first thymic episode was 35 years. At the psychiatric examination, psychomotor retardation was present in 64% of cases, anxiety distress in 58.5% of cases, psychotic, melancholic and atypical characteristics in 30%, 13.2% and 5.7% of cases respectively. 81% of patients were treated with anxiolytic drugs in combination with an antidepressant. Antipsychotic treatment was combined in 45% of cases and electro-convulsive therapy in 9.4% of cases.ConclusionsOur patients presented predictive criteria of bipolarity. Therefore, vigilance is necessary in their medical management.

Role of Age at Onset in the Clinical Presentation of Bipolar Disorder

Introduction: There is considerable evidence to suggest that the clinical expression of Bipolar Disorder (BD) differs according to Age at Onset (AAO) that has therefore been identified as a potential specifier of interest. Aim: To compare the clinical presentation of BD and also to compare the presence of family history of illness in three subgroups made on the basis of AAO. Materials and Methods: A cross-sectional hospital based observational study was carried out on 162 patients having a diagnosis of BD current episode manic. Three subgroups were made according to AAO viz., Early Onset Bipolar Disorder (EOBD; AAO ≤21 years; 67 patients), Intermediate Onset Bipolar Disorder (IOBD; AAO=22-34 years; 59 patients) and Late Onset Bipolar Disorder (LOBD; AAO ≥35 years; 36 patients). The subgroups were compared on clinical variables, items of the Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HAM-D) and Scale for Assessment of Positive Symptoms (SAPS) scales and family history of illness. Results: The EOBD subgroup had significantly more episodes per year (p-value <0.001 and partial eta squared value=0.17) than IOBD and LOBD subgroups (mean episodes per year, respectively in EOBD, IOBD and LOBD were 1.8, 0.8 and 0.6). The prevalence of family history of mood disorder was also significantly higher in the EOBD (present in 35 out of 67; χ2 value=22.8 and p-value <0.001) than both the other subgroups (present in 10 out of 59 in IOBD and 6 out of 36 in LOBD). Significant differences were found on different items of YMRS, HAM-D and SAPS scales among the subgroups EOBD subgroup had higher rating on irritability, motor activity energy, sexual interest, depressed mood, delusions, thought disorders, while LOBD subgroup had higher rating on elevated mood. Conclusion: EOBD subgroup can be considered as a specific phenotype of BD patients, which is more homogenous, severe and heritable form of illness.

Role of age at onset in the clinical presentation of bipolar disorder in Indian population.

Objective:The objective of this study was to determine any association of age at onset (AAO) with clinical presentation of bipolar disorder (BD) and family history of illness.Materials and Methods:A hospital-based cross-sectional observational study was conducted including 162 patients having a diagnosis of BD current episode manic. Individuals were divided into three subgroups according to AAO, i.e., early-onset BD (EOBD) (AAO ≤21 years), intermediate-onset BD (AAO – 22–34 years), and late-onset BD (AAO ≥35 years). The subgroups were compared on clinical variables; items of the Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HAM-D), and Scale for the Assessment of Positive Symptoms (SAPS); and family history of illness.Results:The early-onset group had significantly more episodes per year than the other groups (P < 0.001). The prevalence of family history of mood disorder was also significantly higher in the early-onset group than the other subgroups. AAO was found to be significantly associated with different items of YMRS, HAM-D, and SAPS. The early-onset group had higher rating on irritability, motor activity–energy, sexual interest, depressed mood, delusions, and thought disorders, whereas the late-onset group had higher rating on elevated mood.Conclusion:EOBD can be considered as a specific phenotype of BD, which is more homogenous, severe, and inheritable form of illness.

Clinical correlates of seasonality in bipolar disorder: A specifier that needs specification?

Seasonal pattern (SP) is a bipolar disorder (BD) specifier that indicates a tendency towards affective relapses during specific moments of the year. SP affects 15%-25% of BD patients. In the past, SP was applied only to depressive relapses while, in DSM-5, SP may be applied to both depressive and (hypo)manic episodes. We examined the association between different clinical correlates of BD and SP according to its current definition in a cohort of patients with BD type I (BDI) and II (BDII). Patients were recruited from a specialized unit and assessed according to the season of relapse and type of episode per season.SP and non-SP patients were compared looking into sociodemographic and clinical correlates.Significant variables at univariate comparisons were included in multivariate logistic regression with SP as the dependent variable. 708 patients were enrolled (503 BDI, 205 BDII), and 117 (16.5%) fulfilled DSM-5 criteria for SP. The mean age was 45.3years (SD=14.18), and 389 were female (54.9%). The logistic regression model included a significant contribution of BDII (OR=2.23, CI 1.4-3.55), family history of mood disorder (OR=1.97, CI 1.29-3.01), undetermined predominant polarity (OR=0.44, CI 0.28-0.70), and aggressive behavior (OR=0.42, CI 0.23-0.75). Our results outline a novel positive association of SP with undetermined predominant polarity, BDII, family history of mood disorder, and with fewer aggressiveness-related symptoms. Seasonality is associated with a biphasic pattern with similar dominance of (hypo)mania and depression and is more frequent in BDII as compared to BDI. Seasonal episodes may be easier to predict, but difficult to prevent.

Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study.

Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain aging. Currently, it remains unclear whether young individuals show differential brain structure aging trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure aging trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.

Annual Research Review: Social relationships and the immune system during development.

A child's social relationships serve critical functions during development. The interface between a child's social world and their immune system, particularly innate immunity, which helped children survive in the face of infections, nutritional scarcity, and violence throughout human history, is the focus of this Annual Research Review. This article reviews the state of research on social relationships and innate immune inflammation during childhood. Warmth and rejection in childhood social relationships, as well as physical trauma and unpredictable social environments, were not consistently related to circulating inflammatory markers such as interleukin-6 and C-reactive protein during childhood. Instead, links between social environments and inflammation were observed in studies that focus on children with greater background risk factors, such as low family socioeconomic status, family history of mood disorders, or presence of chronic interpersonal stressors combined with acute episodic stressors. In addition, studies on worse childhood social environments and greater inflammation in adulthood were more consistent. Warmth and rejection in the social environment may be related to sensitivity of immune cells to the anti-inflammatory actions of glucocorticoids, though this is primarily observed in adolescent women at risk for depression. Additional mechanistic evidence suggests that greater warmth and less rejection are related to processes that regulate inflammation, including greater expression of the glucocorticoid receptor gene and lower expression of genes that are responsive to the pro-inflammatory transcription factor NF-kappa B. The article concludes by discussing implications of the interface between a child's social relationships and inflammation for mental health and other recent (on evolutionary timescales) health threats, as well as recommendations for future research, and recommendations for researchers interested in integrating inflammatory measures in developmental research.

Clinical features associated with early drop-out among outpatients with unipolar and bipolar depression

Drop-out from follow-up visits carries significant burden for people diagnosed with depression. The present study assesses multiple clinical moderators of drop-out among depressed outpatients. We retrospectively followed-up 131 outpatients over 6 months: 78 major depressive disorder (MDD), and 53 bipolar disorder (BD-I = 24; BD-II = 29) patients diagnosed according to the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition. Participants were assessed with standard rating scales administered by experienced psychiatrists. Upon descriptive and Cox regression analyses, 17/53 BDs (32%) dropped-out; the overall survival time until drop-out was 57.94 ± 17.79 days. BD drop-outs were younger, had an earlier age at onset, shorter illness duration, lower rates of lifetime obsessive-compulsive disorder/suicidal behavior, higher rates of substance use disorder (SUD), anxious and mixed features of depression compared to BDs attending up to six months. Among MDD patients, 10/78 cases (13%) dropped-out by month-6 with an average survival of 42.40 ± 16.45 days. Earlier age of onset, younger age, positive family history for mood disorders, lower rates of lifetime generalized anxiety disorder were significantly more frequent among drop-outs than completers, as opposite to SUD, and lifetime recurrent depression. Older age predicted lower drop-out among BDs and MDDs, although with almost null hazard ratio (HR) = 0.928, p < 0.01 vs. HR = 0.941, p < 0.01, respectively. Higher rates of lifetime SUD predicted higher drop-out rates by month-6 among MDDs (HR = 5.477, p = 0.02). Limitations of the study: retrospective design, small sample size, lack of objective measures of treatment-adherence/mood rating during follow-up. Drop-out is common in the real-world setting, warranting specific interventions since the beginning of the treatment.

Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study.

Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain ageing. Currently, it remains unclear whether young individuals show differential brain structure aging trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure aging trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.

Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study

Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain aging. Currently, it remains unclear whether young individuals show differential brain structure aging trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure aging trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.

Bipolar Disorder Among Patients Diagnosed With Frontotemporal Dementia.

Previous studies have documented manic and hypomanic symptoms in behavioral variant frontotemporal dementia (bvFTD), suggesting a relationship between bipolar disorder and bvFTD. The investigators conducted a literature review as well as a review of the psychiatric histories of 137 patients with bvFTD, and patients with a prior diagnosis of bipolar disorder were identified. The clinical characteristics of patients' bipolar disorder diagnosis, family history, features of bvFTD, and results from fluorodeoxyglucose positron emission tomography (FDG-PET), as well as autopsy findings, were evaluated. Among the 137 patients, 14 (10.2%) had a psychiatric diagnosis of bipolar disorder, eight of whom met criteria for bipolar disorder (type I, N=6; type II, N=2) 6-12 years preceding onset of classic symptoms of progressive bvFTD. Seven of the eight patients with bipolar disorder had a family history of mood disorders, four had bitemporal predominant hypometabolism on FDG-PET, and two had a tauopathy involving temporal lobes on autopsy. Three additional patients with late-onset bipolar I disorder proved to have a nonprogressive disorder mimicking bvFTD. The remaining three patients with bvFTD had prior psychiatric symptoms that did not meet criteria for a diagnosis of bipolar disorder. The literature review and the findings for one patient further suggested a shared genetic mutation in some patients. Manic or hypomanic episodes years before other symptoms of bvFTD may be a prodrome of this dementia, possibly indicating anterior temporal involvement in bvFTD. Other patients with late-onset bipolar disorder exhibit the nonprogressive frontotemporal dementia phenocopy syndrome. Finally, a few patients with bvFTD have a genetic predisposition for both disorders.

Family History of Mood Disorders is Associated With Lifetime Suicide Attempt in Patients With Bipolar Disorder

Bipolar Disorder (BD) is associated with high risk of suicide. Between 25% and 60% of individuals with BD attempt suicide, with rates of complete suicide ranging from 4% to 19%. We investigated associations between suicidal behaviors in BD and different clinical factors, including psychiatric history in first-degree relatives.

Reduced frontostriatal response to expected value and reward prediction error in remitted monozygotic twins with mood disorders and their unaffected high-risk co-twins.

Depressive episodes experienced in unipolar (UD) and bipolar (BD) disorders are characterized by anhedonia and have been associated with abnormalities in reward processes related to reward valuation and error prediction. It remains however unclear whether these deficits are associated with familial vulnerability to mood disorders. In a functional magnetic resonance imaging study, we evaluated differences in the expected value (EV) and reward prediction error (RPE) signals in ventral striatum (VS) and prefrontal cortex between three groups of monozygotic twins: affected twins in remission for either UD or BD (n = 53), their high-risk unaffected co-twins (n = 34), and low-risk twins with no family history of mood disorders (n = 25). Compared to low-risk twins, affected twins showed lower EV signal bilaterally in the frontal poles and lower RPE signal bilaterally in the VS, left frontal pole and superior frontal gyrus. The high-risk group did not show a significant change in the EV or RPE signals in frontostriatal regions, yet both reward signals were consistently lower compared with low-risk twins in all regions where the affected twins showed significant reductions. Our findings strengthen the notion that reduced valuation of expected rewards and reduced error-dependent reward learning may underpin core symptom of depression such as loss of interest in rewarding activities. The trend reduction in reward-related signals in unaffected co-twins warrants further investigation of this effect in larger samples and prospective follow-up to confirm possible association with increased familial vulnerability to mood disorders.

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

To identify important clinical or imaging features predictive of an individual's response to electroconvulsive therapy (ECT) by utilizing a machine learning approach. Twenty-seven depressed patients who received ECT were recruited. Clinical demographics and pretreatment structural magnetic resonance imaging (MRI) data were used as candidate features to build models to predict remission and post-ECT Hamilton Depression Rating Scale scores. Support vector machine and support vector regression with elastic-net regularization were used to build models using (i) only clinical features, (ii) only MRI features, and (iii) both clinical and MRI features. Consistently selected features across all individuals were identified through leave-one-out cross-validation. Compared with models that include only clinical variables, the models including MRI data improved the prediction of ECT remission: the prediction accuracy improved from 70% to 93%. Features selected consistently across all individuals included volumes in the gyrus rectus, the right anterior lateral temporal lobe, the cuneus, and the third ventricle, as well as 2 clinical features: psychotic features and family history of mood disorder. Pretreatment structural MRI data improved the individual predictive accuracy of ECT remission, and only a small subset of features was important for prediction.

Antidepressant Effect of the VA Weight Management Program (MOVE) Among Veterans With Severe Obesity.

Obesity is prevalent among users of Veteran's Health Administration services, where it is comorbid with depression, post-traumatic stress disorder, type 2 diabetes, cardiovascular disease, colon, and breast cancer. Among obese subjects, severe obesity represents a subpopulation with the highest risk of depression. We investigate the antidepressant effect of a local VA weight management program (Managing Overweight Veterans Everywhere - MOVE) among depressed veterans with severe obesity. In a 10-week prospective pilot study, 14 clinically depressed veterans with severe obesity were recruited from: (1) the 2-week residential based intense MOVE program (IMP) (N=7) and (2) the 10-week educational module of self-management MOVE program (SMP) (N=7). Subjects had a Beck Depression Inventory, 2nd edition (BDI-II) score> 12 and BMI> 40 or BMI> 35 with associated to comorbid conditions. Concurrent treatment for depression such as medications or psychotherapy was excluded. The primary efficacy endpoint was the change in BDI-II score form baseline to week 10. Analysis consisted of linear mixed model with baseline BDI-II score as a covariate, and level of MOVE intervention (IMP vs. SMP), time, and time by treatment interaction as fixed effects, and random patient effect. Pearson's correlation examined the relationships between clinical and demographic variables and change in severity of depression by BDI-II scores. Secondary outcomes include weight loss and energy expenditure. The sample was composed by 14 subjects (IMP=7; SMP=7) mostly unemployed (N=9), married (N=10), mid-aged (mean=58.2, SD=8.4), Caucasian (N=13), male (N=12), with recurrent depression (N=11), and a mean overall duration of current depressive episode of 13.5months (SD=10.2). Out of 14 participants; seven had a family history of mood disorder, two had previous psychiatric hospitalization, three had a previous suicidal attempt, and eight had a history of substance use disorder. There was a significant decrease in severity of depression among all 14 (F3,36.77=5.28; P<0.01); antidepressant effect favored the IMP compared to SMP at day 12 (F1,15.10=9.37, P=0.01) and week 6 (F2,27.34=4.26, P=0.03), but effect fell short of significance at week 10. The change in severity of depression measured by BDI-II score significantly correlated with total weight loss (r=-0.60; P=0.04) and daily energy expenditure at 12days (r=-0.67; P=0.01), week 6 (r=-0.59; P=0.03), and week 10 (r=-0.71; P=0.01). Depressed veterans with severe obesity improved their depressive symptoms by participating in the MOVE program. Veterans in the IMP had greater but short-term antidepressant effect as compared to educational intervention for obesity. Future studies with larger sample size may elucidate the underlying mechanisms of weight reduction to improve depression and, more importantly, sustain response among veterans with severe obesity.

Relationship between neuropsychiatric disorders and cognitive and behavioural change in MND

ObjectiveIn this population-based study, we aimed to determine whether neuropsychiatric history, medication or family history of neuropsychiatric disorders predicted cognitive and/or behavioural impairment in motor neuron disease (MND).MethodsPeople with MND...

Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder.

Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain ageing. Currently, it remains unclear whether young individuals show differential brain structure ageing trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure ageing trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.

F105. Neural Correlates of Risk and Resilience in Individuals With Family History of Mood Disorder

F105. Neural Correlates of Risk and Resilience in Individuals With Family History of Mood Disorder