Construction and validation of a dimensional scale exploring mood disorders: MAThyS (Multidimensional Assessment of Thymic States)

Study of the different sleep disturbances during the prodromal phase of depression and mania in bipolar disorders

BACKGROUND

One of the challenges in bipolar disorder (BD) lies in early detection of the illness and its recurrences, to improve prognosis. Sleep disturbances (SD) have been proposed as reliable predictive markers of conversion. While preliminary studies have explored the relationship between SD and the onset of mood episodes, the results remain heterogeneous and a few have specifically examined patients' perception of prodromal symptoms and their progression until the episode occurs. Identifying prodromes represents a crucial clinical challenge, as it enables early intervention, thereby reducing the severity of BD. Therefore, the objective of this study is to better characterize and evaluate the progressive nature of SD as prodromal symptoms of mood episodes, and patients' perception of it.

METHODS

Patients diagnosed with BD, either hospitalized or seeking treatment for a (hypo)manic or depressive episode benefited from standardized questionnaires, structured interviews, and self-report questionnaires to evaluate SD prior to the current episode, as well as sociodemographic and clinical information.

RESULTS

Out of the 41 patients included, 59% spontaneously reported SD prior to the episode, appearing 90 days before depression and 35 days before mania (pre-indexed/spontaneous reports: 51.22% insomnia complaints, 4.88% hypersomnolence complaints, 7.32% parasomnias, 2.44% sleep movements). After inquiry about specific SD, the percentage of patients reporting prodromal SD increased significantly to 83%, appearing 210 days before depression and 112.5 days before mania (post-indexed reports: 75.61% presented with insomnia complaints appearing 150 days before depression and 20 days before mania, 46.34% had hypersomnolence complaints appearing 60 days before depression, 43.9% had parasomnias appearing 210 days before depression and 22.5 days before mania, 36.59% had sleep movements appearing 120 days before depression and 150 days before mania). Of note, bruxism appeared in 35% of patients before mania, and restless legs syndrome in 20% of patients before depression.

CONCLUSION

This study highlights the very high prevalence of SD prior to a mood episode in patients with BD with differences between depressive and manic episodes. The more systematic screening of sleep alterations of the prodromal phase improved the recognition and characterization of different symptoms onset by patients. This underscores the need for precise questioning regarding sleep patterns in patients, to better identify the moment of transition toward a mood episode, referred to as "Chronos syndrome". The study emphasizes the importance of educating patients about the disorder and its sleep prodromal symptoms to facilitate early intervention and prevent recurrences.

Exploring emotional regulation in insomnia with and without major depressive episode

Previous studies have highlighted the pivotal role of emotional regulation impairment in the progression of depressive and insomnia disorders, individually. Nevertheless, to date, no study has undertaken a direct comparison of the emotional profiles in individuals experiencing insomnia with or without major depressive episode (MDE). In this study, our objective was to closely examine multiple aspects of emotional regulation among individuals experiencing insomnia, with or without concurrent depression. This descriptive observational study involved 57 participants, comprising 27 individuals with comorbid chronic insomnia and MDE, and 30 with chronic insomnia alone. All participants completed self-questionnaires assessing aspects of emotional regulation: the Affect Intensity Measure (intensity), Affective Lability Scale (lability), Temperament Evaluation of Memphis Pisa Paris and San Diego Autoquestionnaire (temperament), Cognitive Emotion Regulation Questionnaire (cognitive strategies), and Multidimensional Assessment of Thymic States (reactivity). There were statistically significant differences between the group with insomnia with MDE and insomnia without MDE in terms of anxiety/depression lability. Discrepancies also manifested in terms of activation or inhibition in motor activity and motivation. Additionally, a noteworthy variance in cognitive strategies for emotional regulation was observed, specifically in self-blame and catastrophising. From a cognitive perspective, patients with insomnia and a MDE exhibited a greater inclination towards self-blame and catastrophising, in contrast to those with insomnia only. Behaviourally, the former group demonstrated heightened inhibition of motivation and motor activity. These findings underscore the importance of larger-scale investigations to validate these insights and pave the way for clinical prospects centred around emotional regulation, ultimately fostering personalised treatments for insomnia.

Construction of an immune predictive model and identification of TRIP6 as a prognostic marker and therapeutic target of CRC by integration of single-cell and bulk RNA-seq data

BACKGROUND

Investigations elucidating the complex immunological mechanisms involved in colorectal cancer (CRC) and accurately predicting patient outcomes via bulk RNA-Seq analysis have been notably limited. This study aimed to identify the immune status of CRC patients, construct a prognostic model, and identify prognostic signatures via bulk RNA sequencing (RNA-seq) and single-cell RNA-seq (scRNA-seq).

METHODS

The scRNA-seq data of CRC were downloaded from Gene Expression Omnibus (GEO). The UCSC Xena database was used to obtain bulk RNA-seq data. Differentially expressed gene (DEG), functional enrichment, and random forest analyses were conducted in order to identify core genes associated with colorectal cancer (CRC) that were relevant to prognosis. A molecular immune prediction model was developed using logistic regression after screening features using the least absolute shrinkage and selection operator (LASSO). The differences in immune cell infiltration, mutation, chemotherapeutic drug sensitivity, cellular senescence, and communication between patients who were at high and low risk of CRC according to the predictive model were investigated. The prognostic genes that were closely associated with CRC were identified by random survival forest (RSF) analysis. The expression levels and clinical significance of the hub genes were analyzed in vitro. The LoVo cell line was employed to ascertain the biological role of thyroid hormone receptor-interacting protein 6 (TRIP6).

RESULTS

A total of seven main cell subtypes were identified by scRNA-seq analysis. A molecular immune predictive model was constructed based on the risk scores. The risk score was significantly associated with OS, stage, mutation burden, immune cell infiltration, response to immunotherapy, key pathways, and cell-cell communication. The functions of the six hub genes were determined and further utilized to establish a regulatory network. Our findings unequivocally confirmed that TRIP6 upregulation was verified in the CRC samples. After knocking down TRIP6, cell proliferation, migration, and invasion of LoVo cells were inhibited, and apoptosis was promoted.

CONCLUSIONS

The molecular predictive model reliably distinguished the immune status of CRC patients. We further revealed that TRIP6 may act as an oncogene in CRC, making it a promising candidate for targeted therapy and as a prognostic marker for CRC.

Major depressive episode with insomnia and excessive daytime sleepiness: A more homogeneous and severe subtype of depression

Previous studies have noted the crucial role of excessive daytime sleepiness (EDS) in the course of depressive illness, and more recently, a few studies documented its strong associations with an increased risk of suicide. While insomnia is associated with heightened emotional reactivity, suicidal behaviors, and increased relapses and recurrence. Our main hypothesis is that major depressive episodes (MDE) with insomnia and EDS are associated with more severe manifestations of depression. However, to date, no study has directly compared MDE with insomnia without EDS (Ins), and MDE with insomnia with EDS (InsEDS) using both subjective biomarkers (administration of self-assessment questionnaires for psychiatric evaluation and sleep complaints) and objective biomarkers (of sleep and circadian rhythms (using actigraphy). The InsEDS group, compared to the Ins group, exhibited significantly increased suicidal ideation, larger seasonal impacts on mood, alterations in sleep duration, weight, appetite, energy levels, and social activities throughout the year. Furthermore, they had significant delayed onset of daily activity measured with actigraphy. These findings provided new insights into the link between suicide, sleep, alertness, and biological clock. They also hold significant implications for identifying individuals with more severe depressive manifestations and for developing tailored and personalized therapeutic strategies.

Clinical characteristics associated with discrepancies between self- and clinician-rated suicidal ideation in patients with bipolar disorder (FACE-BD cohort)

Suicidal ideation (SI) is a major suicide risk factor; therefore, it is crucial to identify individuals with SI. Discrepancies between the clinicians and patients' estimation of SI may lead to under-evaluating the suicide risk. Yet, studies on discrepancies between self- and clinician-rated SI are lacking, although identifying the patients' sociodemographic and clinical characteristics associated with such discrepancies might help to reduce the under-evaluation risk. Therefore, the aim of this study was to identify features associated with SI rating discrepancies in patients with bipolar disorder (BD) because of the high prevalence of suicide in this population. Among the patients recruited by the French network of FondaMental expert centers for BD, patients with SI (i.e. ≥2 for item 12 of the Quick Inventory of Depressive Symptomatology-Self Report and/or ≥3 for item 10 of the clinician-rated Montgomery and Åsberg Depression Rating Scale) were selected and divided in concordant (i.e. SI in both self- and clinician-rated questionnaires; n = 130; 25.6%), and discordant (i.e. SI in only one questionnaire; n = 377; 74.4%). Depression severity was the feature most associated with SI evaluation discrepancy, especially in patients with SI identified only with the self-rated questionnaire. Clinician may under-evaluate SI presence in patients with low depression level.

Development and Psychometric Properties of a New Patient-Reported Outcome Instrument of Health-Related Quality of Life Specific to Patients with Gambling Disorder: The Gambling Quality of Life Scale (GQoLS)

BACKGROUND

Impairment or distress caused by gambling disorder can be subjectively assessed via quality of life. The aim of this study was to develop a new patient-reported outcome instrument to explore the health-related quality of life (HRQoL) in gambling disorders, the Gambling quality-of-life scale (GQoLS), and to document its psychometric properties.

METHODS

A previous qualitative study had been conducted using focus groups of problem gamblers to identify areas of HRQoL impacted by gambling. The seven domains identified served as the basis for the hypothetical structure of GQoLS. Draft items were generated from the patient's speeches to illustrate each of these domains. Cognitive debriefing interviews were realized to obtain a final hypothetical GQoLS. A validation study was then carried out to determine the final version of GQoLS and its psychometric properties (structural validity, construct validity, internal consistency).

RESULTS

The final GQoLS was composed of 21 items, with a total mean score of 38.3 (±13.6). Structural validity found a major dimension and four other minor dimensions. The five dimensions were: "emotion", "lifestyle", "loneliness", "taboo" and "preoccupation". GQoLS was moderately to strongly correlated with PGSI and EQ-5D visual analogic scale. Cronbach's alpha coefficient was 0.92.

CONCLUSION

GQoLS is the first HRQoL instrument specific to patients with a gambling disorder and developed from the patient's perspective. GQoLS presents good psychometric properties. GQoLS can be used in clinical research to demonstrate the effectiveness of an intervention on outcomes that are relevant from the patient's perspective.

Treatment of Chronic Refractory Pain by Combined Deep Brain Stimulation of the Anterior Cingulum and Sensory Thalamus (EMOPAIN Study): Rationale and Protocol of a Feasibility and Safety Study

Background: Deep Brain Stimulation (DBS) of the sensory thalamus has been proposed for 40 years to treat medically refractory neuropathic pain, but its efficacy remains partial and unpredictable. Recent pilot studies of DBS targeting the ACC, a brain region involved in the integration of the affective, emotional, and cognitive aspects of pain, may improve patients suffering from refractory chronic pain. ACC-DBS could be complementary to thalamic DBS to treat both the sensory-discriminative and the affective components of chronic pain, but the safety of combined DBS, especially on cognition and affects, has not been studied. Methods: We propose a prospective, randomized, double-blind, and bicentric study to evaluate the feasibility and safety of bilateral ACC-DBS combined with unilateral thalamic DBS in adult patients suffering from chronic unilateral neuropathic pain, refractory to medical treatment. After a study period of six months, there is a cross-over randomized phase to compare the efficacy (evaluated by pain intensity and quality of life) and safety (evaluated by repeated neurological examination, psychiatric assessment, cognitive assessment, and assessment of affective functions) of combined ACC-thalamic DBS and thalamic DBS only, respectively. Discussion: The EMOPAIN study will show if ACC-DBS is a safe and effective therapy for patients suffering from chronic unilateral neuropathic pain, refractory to medical treatment. The design of the study will, for the first time, assess the efficacy of ACC-DBS combined with thalamic DBS in a blinded way.

Developing "MinDag" - an app to capture symptom variation and illness mechanisms in bipolar disorder

Introduction

The illness course of bipolar disorder (BD) is highly heterogeneous with substantial variation between individuals with the same BD subtype and within individuals over time. This heterogeneity is not well-delineated and hampers the development of more targeted treatment. Furthermore, although lifestyle-related behaviors are believed to play a role in the illness course, such mechanisms are poorly understood. To address some of these knowledge gaps, we aimed to develop an app for collection of multi-dimensional longitudinal data on BD-relevant symptoms and lifestyle-related behaviors.

Methods

An app named MinDag was developed at the Norwegian Center for Mental Disorders Research in Oslo, Norway. The app was designed to tap into selected areas: mood, sleep, functioning/activities (social, occupational, physical exercise, leisure), substance use, emotional reactivity, and psychotic experiences. Ethical, security and usability issues were highly prioritized throughout the development and for the final app solution. We conducted beta- and pilot testing to eliminate technical problems and enhance usability and acceptability.

Results

The final version of MinDag comprises six modules; three which are presented for the user once daily (the Sleep module in the morning and the Mood and Functoning/Activities modules in the evening) and three which are presented once weekly (Substance Use, Emotional Reactivity, and Psychotic Experiences modules). In general, MinDag was well received in both in the beta-testing and the pilot study, and the participants provided valuable feedback that was taken into account in the final development. MinDag is now in use as part of the research protocol at the NORMENT center and in a specialized treatment unit for BD at Oslo University Hospital in Norway.

Discussion

We believe that MinDag will generate unique longitudinal data well suited for capturing the heterogeneity of BD and clarifying important unresolved issues such as how life-style related behavior may influence BD symptoms. Also, the experiences and knowledge derived from the development of MinDag may contribute to improving the security, acceptability, and benefit of digital tools in mental health.

Self-Reported Pain and Emotional Reactivity in Bipolar Disorder: A Prospective FACE-BD Study

In patients with bipolar disorder (BD), pain prevalence is close to 30%. It is important to determine whether pain influences BD course and to identify factors associated with pain in BD in order to guide BD management. This naturalistic, prospective study used data on 880 patients with BD from the French FACE-BD cohort who were divided into two groups according to the presence or absence of pain. Multivariate models were used to test whether pain was associated with affective states and personality traits while controlling for confounders. Then, multivariate models were used to test whether pain at baseline predicted global life functioning and depressive symptomatology at one year. At baseline, 22% of patients self-reported pain. The pain was associated with depressive symptomatology, levels of emotional reactivity in a quadratic relationship, and a composite variable of personality traits (affective lability, affective intensity, hostility/anger, and impulsivity). At one year, the pain was predictive of depression and lower global life functioning. Pain worsens mental health and well-being in patients with BD. The role of emotions, depression, and personality traits in pain has to be elucidated to better understand the high prevalence of pain in BD and to promote specific therapeutic strategies for patients experiencing pain.

Bipolar disorders and retinal electrophysiological markers (BiMAR): Study protocol for a comparison of electroretinogram measurements between subjects with bipolar disorder and a healthy control group

BACKGROUND

Bipolar disorders (BD) is a common, chronic and disabling psychiatric condition. In addition to being characterized by significant clinical heterogeneity, notable disturbances of sleep and cognitive function are frequently observed in all phases of the disease. Currently, there is no readily available biomarker in current clinical practice to help diagnose or predict the disease course. Thus, identification of biomarkers in BD is today a major challenge. In this context, the study of electrophysiological biomarkers based on electroretinogram (ERG) measurements in BD seems highly promising. The BiMAR study aims to compare electrophysiological data measured with ERG between a group of euthymic patients with BD and a group of healthy control subjects. Secondarily, we will also describe the existing potential relationship between clinical, sleep and neuropsychological phenotypes of patients and electrophysiological data.

METHODS

The BiMAR study is a comparative and monocentric study carried out at the Expert Center for BD in Nancy, France. In total, 70 euthymic adult patients with BD and 70 healthy control subjects will be recruited. Electrophysiological recordings with ERG and electroencephalogram (EEG) will be performed with a virtual reality headset after a standardized clinical evaluation to all participants. Then, an actigraphic monitoring of 21 consecutive days will be carried out. At the end of this period a neuropsychological evaluation will be performed during a second visit. The primary outcome will be electrophysiological measurements with ERG flash and pattern. Secondary outcomes will be EEG data, sleep settings, clinical and neuropsychological assessments. For patients only, a complementary ancillary study, carried out at the University Hospital of Nancy, will be proposed to assess the retinal structure and microvascularization using Optical Coherence Tomography. Recruitment started in January 2022 and will continue until the end of July 2023.

DISCUSSION

The BiMAR study will contribute to identifying candidate ERG electrophysiological markers for helping the diagnosis of BD and identify subgroups of patients with different clinical profiles. Eventually, this would allow earlier diagnosis and personalized therapeutic interventions.

CLINICAL TRIAL REGISTRATION

The study is registered at Clinicaltrials.gov, NCT05161546, on 17 December 2021 (https://clinicaltrials.gov/ct2/show/NCT05161546).

Serotonergic and Dopaminergic Lesions Underlying Parkinsonian Neuropsychiatric Signs

BACKGROUND

Parkinson's disease (PD) is characterized by heterogeneous motor and nonmotor manifestations related to alterations in monoaminergic neurotransmission systems. Nevertheless, the characterization of concomitant dopaminergic and serotonergic dysfunction after different durations of Parkinson's disease, as well as their respective involvement in the expression and severity of neuropsychiatric signs, has gained little attention so far.

METHODS

To fill this gap, we conducted a cross-sectional study combining clinical and dual-tracer positron emission tomography (PET) neuroimaging approaches, using radioligands of dopamine ([¹¹ C]-N-(3-iodoprop-2E-enyl)-2-beta-carbomethoxy-3-beta-(4-methylphenyl)-nortropane) ([¹¹ C]PE2I) and serotonin ([¹¹ C]-N,N-dimethyl-2-(-2-amino-4-cyanophenylthio)-benzylamine) ([¹¹ C]DASB) reuptake, after different durations of Parkinson's disease (ie, in short-disease duration drug-naive de novo (n = 27, 0-2 years-duration), suffering from apathy (n = 14) or not (n = 13); intermediate-disease duration (n = 15, 4-7 years-duration) and long-disease duration, non-demented (n = 15, 8-10 years-duration) patients). Fifteen age-matched healthy subjects were also enrolled.

RESULTS

The main findings are threefold: (1) both dopaminergic and serotonergic lesions worsen with the duration of Parkinson's disease, spreading from midbrain/subcortical to cortical regions; (2) the presence of apathy at PD onset is associated with more severe cortical and subcortical serotonergic and dopaminergic disruption, similar to the denervation pattern observed in intermediate-disease duration patients; and (3) the severity of parkinsonian apathy, depression, and trait-anxiety appears primarily related to serotonergic alteration within corticostriatal limbic areas.

CONCLUSIONS

Altogether, these findings highlight the prominent role of serotonergic degeneration in the expression of several neuropsychiatric symptoms occurring after different durations of Parkinson's disease. © 2021 International Parkinson and Movement Disorder Society.

Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study

BACKGROUND

Self-reported mood is a valuable clinical data source regarding disease state and course in patients with mood disorders. However, validated, quick, and scalable digital self-report measures that can also detect relapse are still not available for clinical care.

OBJECTIVE

In this study, we aim to validate the newly developed ASERT (Aktibipo Self-rating) questionnaire-a 10-item, mobile app-based, self-report mood questionnaire consisting of 4 depression, 4 mania, and 2 nonspecific symptom items, each with 5 possible answers. The validation data set is a subset of the ongoing observational longitudinal AKTIBIPO400 study for the long-term monitoring of mood and activity (via actigraphy) in patients with bipolar disorder (BD). Patients with confirmed BD are included and monitored with weekly ASERT questionnaires and monthly clinical scales (Montgomery-Åsberg Depression Rating Scale [MADRS] and Young Mania Rating Scale [YMRS]).

METHODS

The content validity of the ASERT questionnaire was assessed using principal component analysis, and the Cronbach α was used to assess the internal consistency of each factor. The convergent validity of the depressive or manic items of the ASERT questionnaire with the MADRS and YMRS, respectively, was assessed using a linear mixed-effects model and linear correlation analyses. In addition, we investigated the capability of the ASERT questionnaire to distinguish relapse (YMRS≥15 and MADRS≥15) from a nonrelapse (interepisode) state (YMRS<15 and MADRS<15) using a logistic mixed-effects model.

RESULTS

A total of 99 patients with BD were included in this study (follow-up: mean 754 days, SD 266) and completed an average of 78.1% (SD 18.3%) of the requested ASERT assessments (completion time for the 10 ASERT questions: median 24.0 seconds) across all patients in this study. The ASERT depression items were highly associated with MADRS total scores (P<.001; bootstrap). Similarly, ASERT mania items were highly associated with YMRS total scores (P<.001; bootstrap). Furthermore, the logistic mixed-effects regression model for scale-based relapse detection showed high detection accuracy in a repeated holdout validation for both depression (accuracy=85%; sensitivity=69.9%; specificity=88.4%; area under the receiver operating characteristic curve=0.880) and mania (accuracy=87.5%; sensitivity=64.9%; specificity=89.9%; area under the receiver operating characteristic curve=0.844).

CONCLUSIONS

The ASERT questionnaire is a quick and acceptable mood monitoring tool that is administered via a smartphone app. The questionnaire has a good capability to detect the worsening of clinical symptoms in a long-term monitoring scenario.

Clinical predictors of recurrences in bipolar disorders type 1 and 2: A FACE-BD longitudinal study

OBJECTIVE

To examine which characteristics predict the time to a first mood recurrence at three years in Bipolar Disorder type I (BD-I) and type II (BD-II).

METHODS

Individuals with BD were followed up to 3 years. Turbull's extension of the Kaplan-Meier analysis for interval-censored data was used to estimate the cumulative probability of recurrence over time. Separate models were performed according to BD subtype to determine which baseline factors were predictive of recurrences and were adjusted for age, gender and educational level.

RESULTS

We included 630 individuals with BD-I and 505 with BD-II. The first recurrence of any polarity occurred earlier in BD-II (p = 0.03). The first depressive recurrence occurred earlier in BD-II (p < 0.0001), whereas the first (hypo)manic recurrence occurred earlier in BD-I (p = 0.0003). In BD-I, the clinical variables that were associated to the time to a first mood recurrence were depressive symptoms, lifetime rapid cycling, global activation and the number of psychotropic medications at baseline. In BD-II, the time to a first recurrence was associated with a younger age at onset of BD and a higher number of lifetime mood episodes. The Areas Under the Curve for both models were moderate.

CONCLUSION

Predictors of recurrences showed few specificities to BD-I or BD-II. The ability to predict recurrences in BD based on socio-demographic and clinical variables remained too moderate for a transfer in daily practice. This study highlights the need for further studies that would include other types of predictors, such as molecular, cognitive or neuro-imaging ones, to achieve an accurate level of prediction of recurrences in BD.

Association between anhedonia and suicidal events in patients with mood disorders: A 3-year prospective study

BACKGROUND

As almost all mental disorders are associated with increased suicidal-related behavior, anhedonia might be a trans-diagnostic dimension to target for suicide prevention.

METHODS

For this 3-year-long prospective study, 2,839 outpatients with mood disorders were recruited. They were divided in: (a) two groups according to the occurrence or not of suicidal ideation during the follow-up, and (b) two groups according to the occurrence or not of suicide attempts during the follow-up. Anhedonia was assessed using a composite score (the French version of the 14-item Snaith-Hamilton Pleasure Scale and item 13 of the Quick Inventory of Depressive Symptomatology scale) at inclusion and at 6, 12, 24, and 36 months after inclusion.

RESULTS

Patients with mood disorders and anhedonia at least at one follow-up visit had a 1.4-fold higher risk of suicidal ideation (adjusted odds ratio = 1.35; 95% confidence interval [1.07, 1.70]), even after adjustment for confounding factors of suicide risk (i.e., bipolar or unipolar disorder, sex, age, marital status, education level, antidepressant intake, personal history of suicide attempt, at least one childhood trauma, and mean of the maximum depression score during the follow-up). Conversely, association between anhedonia and suicide attempt did not remain significant after adjustment.

CONCLUSIONS

The significant association between anhedonia and suicide ideation in patients with mood disorders stresses the need of targeting hedonia in mood disorders, and of research focusing on the position to pleasure in life through eudaimonia.

Allostatic load, emotional hyper-reactivity, and functioning in individuals with bipolar disorder

OBJECTIVES

Diagnosis and management of bipolar disorder (BD) are limited by the absence of available biomarkers. Allostatic load (AL) represents the strain that stress, including the effects of acute phases and inter-episode chronic mood instability, exerts on interconnected biological systems. This study aimed to operationalize an AL index and explore whether it could be relevant to better characterize BD patients with and without emotional hyper-reactivity particularly those at higher risk of immune-cardiometabolic dysregulation and functional impairment.

METHODS

Levels of biomarkers of chronic inflammation (hsCRP and albumin), cardiovascular (systolic/diastolic blood pressure) and metabolic functions (fasting glucose, glycosylated hemoglobin, total cholesterol, LDL, HDL, and triglycerides) were measured in 1072 adult BD outpatients. Patients were classified in two groups (with/without emotional hyper-reactivity) assessed by the Multidimensional Assessment of Thymic States scale. An Allostatic Load Index for BD (BALLI), comprising six biomarkers, was constructed using data-driven biomarker selection.

RESULTS

BALLI showed 81.1% accuracy with good sensitivity (81%) and specificity (81.2%) for characterizing BD patients presenting emotional hyper-reactivity, elevated risk of inflammation (increased hsCRP, hypoalbuminemia) and cardiometabolic disturbances (hypertension, hyperglycemia, and hypertriglyceridemia). Patients classified by the BALLI as presenting emotional hyper-reactivity had significantly lower global and cognitive functioning than those without emotional hyper-reactivity (P < .0001).

CONCLUSIONS

A multidimensional approach based on a simple AL score (eg, BALLI) and dimensions of behavior (eg, emotional hyper-reactivity) alongside mood is clinically relevant. AL index could be a useful tool to detect multisystemic physiological dysregulations in BD patients with/without emotional hyper-reactivity particularly those at higher risk of immune-cardiometabolic disturbances and functional impairment.

The 12-Item Self-Rating Questionnaire for Depressive Mixed State (DMX-12) for Screening of Mixed Depression and Mixed Features

For simultaneous screening of mixed features (MF) by DSM-5 and mixed depression (MD) by Benazzi, useful symptoms were extracted from our 12-item dimensional scale for depressive mixed state (DMX-12). Subjects were 190 consecutive cases with major depressive episode (MDE) who visited our clinic. Associations between symptomatological combinations of the DMX-12 and MF or MD were analyzed using receiver operating characteristic (ROC). The rate of MF was 4.2% while that of MD was 22.6%. Eight symptoms (overreactivity, inner tension, racing/crowded thought, impulsivity, irritability, aggression, risk-taking behavior, and dysphoria) with their AUC > 0.6 for ROC curves were specially focused on distinguishing patients with MF or MD from non-mixed patients. By using these 8 symptoms, 40.5% of the overall patients were screened as positive at the same cut-off value (≥13) for both MD and MF. The AUC of ROC curve and sensitivity/specificity were well balanced together with sufficient negative predictive values. The abovementioned 8 symptoms seem to be helpful for primary screening and negative check of DMX with considerable severity during MDE.

Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study

BACKGROUND

The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal behavior, indicating that the illness is active.

OBJECTIVE

This research protocol aimed to investigate the correlations between clinically rated mood symptoms and mood/behavioral data automatically collected using the Toi Même app in patients with bipolar disorder presenting with different mood episodes. This study also aimed to assess the feasibility of this app for self-monitoring subjective and objective mood/behavior parameters in those patients.

METHODS

This open-label, nonrandomized trial will enroll 93 (31 depressive, 31 euthymic, and 31 hypomanic) adults diagnosed with bipolar disorder type I/II (Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria) and owning an iPhone. Clinical evaluations will be performed by psychiatrists at the baseline and after 2 weeks, 1 month, 2 months, and 3 months during the follow-up. Rather than only accessing the daily mood symptoms, the Toi Même app also integrates ecological momentary assessments through 2 gamified tests to assess cognition speed (QUiCKBRAIN) and affective responses (PLAYiMOTIONS) in real-life contexts, continuously measures daily motor activities (eg, number of steps, distance) using the smartphone's motion sensors, and performs a comprehensive weekly assessment.

RESULTS

Recruitment began in April 2018 and the completion of the study is estimated to be in December 2021. As of April 2019, 25 participants were enrolled in the study. The first results are expected to be submitted for publication in 2020. This project has been funded by the Perception and Memory Unit of the Pasteur Institute (Paris) and it has received the final ethical/research approvals in April 2018 (ID-RCB: 2017-A02450-53).

CONCLUSIONS

Our results will add to the evidence of exploring other alternatives toward a more integrated approach in the management of bipolar disorder, including digital phenotyping, to develop an ethical and clinically meaningful framework for investigating, diagnosing, and treating individuals at risk of developing bipolar disorder or currently experiencing bipolar disorder. Further prospective studies on the validity of automatically generated smartphone data are needed for better understanding the longitudinal pattern of mood instability in bipolar disorder as well as to establish the reliability, efficacy, and cost-effectiveness of such an app intervention for patients with bipolar disorder.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03508427; https://clinicaltrials.gov/ct2/show/NCT03508427.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/18818.

Sexual desire and emotional reactivity in chronically hospitalized Lebanese patients with schizophrenia

PURPOSE

To study the level of emotional reactivity of Lebanese patients with schizophrenia who have a high level of sexual desire.

DESIGN/METHODS

It is a cross-sectional study, enrolling 30 men and 30 women, between April and June 2017. The sexual behavior questionnaire (SBQ) was used to explore the desire, sexual arousal, orgasm, ejaculation, pleasure, and satisfaction with sexuality.

FINDINGS

A significantly higher mean emotional score, higher cognitive functioning score, higher motivation score, higher motor deficit score, higher sensory perception score, higher SBQ score, and higher emotional reactivity were found in patients who masturbate compared with those who did not.

PRACTICE IMPLICATIONS

All these improvements in patients who masturbate might be associated with better social relations, which might improve patient integration in society.

KEY POINTS

Sustained sexual activity of patients with schizophrenia is associated with improved emotional and cognitive functioning. The same applies to higher levels of motivation, motor skills, and sensoriality. Sustained sexual activity of patients who have schizophrenia would indicate a better prognosis of schizophrenia.

Sleep quality and emotional reactivity cluster in bipolar disorders and impact on functioning

Objective:

Bipolar disorders (BD) are characterized by sleep disturbances and emotional dysregulation both during acute episodes and remission periods. We hypothesized that sleep quality (SQ) and emotional reactivity (ER) defined clusters of patients with no or abnormal SQ and ER and we studied the association with functioning.

Method:

We performed a bi-dimensional cluster analysis using SQ and ER measures in a sample of 533 outpatients patients with BD (in remission or with subsyndromal mood symptoms). Clusters were compared for mood symptoms, sleep profile and functioning.

Results:

We identified three clusters of patients: C1 (normal ER and SQ, 54%), C2 (hypo-ER and low SQ, 22%) and C3 (hyper-ER and low SQ, 24%). C1 was characterized by minimal mood symptoms, better sleep profile and higher functioning than other clusters. Although highly different for ER, C2 and C3 had similar levels of subsyndromal mood symptoms as assessed using classical mood scales. When exploring sleep domains, C2 showed poor sleep efficiency and a trend for longer sleep latency as compared to C3. Interestingly, alterations in functioning were similar in C2 and C3, with no difference in any of the sub-domains.

Conclusion:

Abnormalities in ER and SQ delineated three clusters of patients with BD and significantly impacted on functioning.

The structure of mania: An overview of factorial analysis studies

Background.

Operational definitions of mania are based on expert consensus rather than empirical data. The aim of this study is to identify the key domains of mania, as well as the relevance of the different signs and symptoms of this clinical construct.

Methods.

A review of latent factor models studies in manic patients was performed. Before extraction, a harmonization of signs and symptoms of mania and depression was performed in order to reduce the variability between individual studies.

Results.

We identified 12 studies fulfilling the inclusion criteria and comprising 3039 subjects. Hyperactivity was the clinical item that most likely appeared in the first factor, usually covariating with other core features of mania, such as increased speech, thought disorder, and elevated mood. Depressive–anxious features and irritability–aggressive behavior constituted two other salient dimensions of mania. Altered sleep was frequently an isolated factor, while psychosis appeared related to grandiosity, lack of insight and poor judgment.

Conclusions.

Our results confirm the multidimensional nature of mania. Hyperactivity, increased speech, and thought disorder appear as core features of the clinical construct. The mood experience could be heterogeneous, depending on the co-occurrence of euphoric (elevated mood) and dysphoric (irritability and depressive mood) emotions of varying intensity. Results are also discussed regarding their relationship with other constitutive elements of bipolar disorder, such as mixed and depressive states.

Systematic Review of Symptom Assessment Measures for Use in Measurement-Based Care of Bipolar Disorders

OBJECTIVE

Utilization of measurement-based care (MBC) for bipolar disorders is limited, in part because of uncertainty regarding the utility of available measures. The aim of this study was to synthesize the literature on patient-reported and clinician-observed measures of symptoms of bipolar disorder and the potential use of these measures in MBC.

METHODS

A systematic review of multiple databases (PubMed, Embase, PsycINFO, Cochrane Library, and other gray literature) was conducted in June 2017 to identify validated measures. Data on the psychometric properties of each measure were extracted and used to assess the measure's clinical utility on the basis of established guidelines.

RESULTS

Twenty-eight unique measures were identified in 39 studies, including four patient-reported and six clinician-observed measures assessing manic symptoms, three patient-reported and five clinician-observed measures of depressive symptoms, and six patient-reported and four clinician-observed measures of both symptom types. Patient-reported measures with the highest clinical utility included the Altman Self-Rating Mania Scale for assessment of manic symptoms, the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) (depressive symptoms), and the Internal State Scale (both types). Highly rated clinician (C)-observed scales were the Bech-Rafaelsen Mania Rating Scale (mania), the QIDS-C (depressive symptoms), and the Bipolar Inventory of Symptoms Scale (both types).

CONCLUSIONS

Suitable choices are available for MBC of bipolar disorders. The choice of a measure could be informed by clinical utility score and may also depend on how clinicians or practices weigh each category of the clinical utility scale and on the clinical setting and presenting problem.

Development of the 12-item questionnaire for quantitative assessment of depressive mixed state (DMX-12)

BACKGROUND

Conventional categorical criteria have limitations in assessing the prevalence and severity of depressive mixed state (DMX). Thus, we have developed a new scale for screening and quantification of DMX and examined the symptomatological structure and severity of DMX in individuals with major depressive episode (MDE).

METHODS

Subjects were 154 patients with MDE (57 males and 97 females; age 13-83 years). Our original Japanese version of the self-administered 12-item questionnaire to assess DMX (DMX-12), together with the Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning, were administered to each participant. The symptomatological structure of the DMX-12 was examined by exploratory factor analysis. Multiple regression analyses were used to analyze factors contributing to the DMX-12 scale. The relationships of this scale with categorical diagnoses (mixed depression by Benazzi and mixed features by DSM-5) were also investigated.

RESULTS

A three-factor model of the DMX-12 was extracted from exploratory factor analysis, namely, "spontaneous instability", "vulnerable responsiveness", and "disruptive emotion/behavior". Multiple regression analyses revealed that age was negatively correlated with total DMX-12 score, while bipolarity and the QIDS-SR-J score were positively correlated. A higher score on the disruptive emotion/behavior subscale was observed in patients with mixed depression and mixed features.

CONCLUSION

The DMX-12 seems to be useful for screening DMX in conjunction with conventional categorical diagnoses. Severely depressed younger subjects with potential bipolarity are more likely to develop DMX. The disruptive emotion/behavior subscale of the DMX-12 may be the most helpful in distinguishing patients with DMX from non-mixed patients.

Are rating scales for bipolar disorders fit for purpose?

The DSM-5 definition of bipolar disorder elevates increased activity or energy as a cardinal symptom (alongside mood changes) for mania and hypomania ('hypo/mania'). The ICD-10 likewise requires increases in activity and energy (alongside mood) for hypo/mania, as well as decreases for bipolar depression. Using bipolar disorder as an example, we propose that, when diagnostic criteria are revised, instruments used to measure clinical course and treatment response may need revisiting. Here, we highlight that the 'gold-standard' symptom rating scales for hypo/mania and depression were developed in an era when abnormalities of mood were viewed as the cardinal symptom of bipolar disorder. We contend that archetypal measures fail to give proportionate weighting to activity or energy, undermining their utility in monitoring bipolar disorder and treatment response in clinical and research practice.Declarations of interestJ.S. and G.M. are members of mMARCH, (Motor Activity Research Consortium for Health), which is led by Dr Kathleen Merikangas, National Institute for Mental Health. J.S. reports being a visiting professor at Diderot University, the Norwegian University of Science and Technology, Swinburne University of Technology and The University of Sydney; receiving grant funding from the UK Medical Research Council and from the UK Research for Patient Benefit programme; and receiving a personal fee from Janssen-Cilag for a non-promotional talk on sleep problems.

Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach

OBJECTIVE

Remitted bipolar disorder (BD) patients frequently present with chronic mood instability and emotional hyper-reactivity, associated with poor psychosocial functioning and low-grade inflammation. We investigated emotional hyper-reactivity as a dimension for characterization of remitted BD patients, and clinical and biological factors for identifying those with and without emotional hyper-reactivity.

METHOD

A total of 635 adult remitted BD patients, evaluated in the French Network of Bipolar Expert Centers from 2010-2015, were assessed for emotional reactivity using the Multidimensional Assessment of Thymic States. Machine learning algorithms were used on clinical and biological variables to enhance characterization of patients.

RESULTS

After adjustment, patients with emotional hyper-reactivity (n = 306) had significantly higher levels of systolic and diastolic blood pressure (P < 1.0 × 10^-8 ), high-sensitivity C-reactive protein (P < 1.0 × 10^-8 ), fasting glucose (P < 2.23 × 10^-6 ), glycated hemoglobin (P = 0.0008) and suicide attempts (P = 1.4 × 10^-8 ). Using models of combined clinical and biological factors for distinguishing BD patients with and without emotional hyper-reactivity, the strongest predictors were: systolic and diastolic blood pressure, fasting glucose, C-reactive protein and number of suicide attempts. This predictive model identified patients with emotional hyper-reactivity with 84.9% accuracy.

CONCLUSION

The assessment of emotional hyper-reactivity in remitted BD patients is clinically relevant, particularly for identifying those at higher risk of cardiometabolic dysfunction, chronic inflammation, and suicide.

Emotional reactivity: Beware its involvement in traffic accidents

BACKGROUND

Reducing risk attributable to traffic accidents is a public health challenge. Research into risk factors in the area is now moving towards identification of the psychological factors involved, particularly emotional states. The aim of this study was to evaluate the link between emotional reactivity and responsibility in road traffic accidents. We hypothesized that the more one's emotional reactivity is disturbed, the greater the likelihood of being responsible for a traffic accident.

METHODS

This case-control study was based on a sample of 955 drivers injured in a motor vehicle crash. Responsibility levels were determined with a standardized method adapted from the quantitative Robertson and Drummer crash responsibility instrument. Emotional reactivity was assessed with the MATHYS.

RESULTS

Hierarchical cluster analysis discriminated four distinctive driver's emotional reactivity profiles: basic emotional reactivity (54%), mild emotional hyper-reactivity (29%), emotional hyper-reactivity (11%) and emotional hypo-reactivity (6%). Drivers who demonstrated emotional hypo-reactivity had a 2.3-fold greater risk of being responsible for a traffic accident than those with basic emotional reactivity.

CONCLUSION

Drivers' responsibility in traffic accidents depends on their emotional status. The latter can change the ability of drivers, modifying their behavior and thus increasing their propensity to exhibit risk behavior and to cause traffic accidents.

Emotional reactivity, functioning, and C-reactive protein alterations in remitted bipolar patients: Clinical relevance of a dimensional approach

OBJECTIVES

Inter-episode mood instability has increasingly been considered in bipolar disorder. This study aimed to investigate emotional reactivity as a major dimension for better characterizing remitted bipolar patients with subthreshold mood symptoms and functional status. This study also aimed to investigate whether high-sensitivity C-reactive protein, a marker of low-grade inflammation, could be a biological marker of emotional dysregulation in bipolar disorder (BD).

METHODS

Cross-sectional study of 613 subjects who met Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition criteria for BD recruited from the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort from 2009 to 2014. All patients had been in remission for at least 3 months before assessment. Patients were classified into three groups according to levels of emotional reactivity. Emotional reactivity was assessed by using the Multidimensional Assessment of Thymic States, and functional status was assessed by the Functioning Assessment Short Test. Clinical characteristics and blood sample were collected from all patients.

RESULTS

In total, 415 (68%) patients had abnormal emotional reactivity. Independent of potential confounders, including age, gender and subthreshold mood symptoms, serum levels of high-sensitivity C-reactive protein were significantly higher in patients with emotional hyper-reactivity (median = 4.0 mg/L, interquartile range = 2.7-5.6), and with emotional hypo-reactivity (median = 3.0 mg/L, interquartile range = 1-4) compared with patients with normal emotional reactivity (median = 0.95 mg/L, interquartile range = 0.4-1.9, p < 0.001). Patients with emotional hyper-reactivity showed significant cognitive functioning impairment ( p < 0.001).

CONCLUSIONS

Emotional reactivity appears to be a relevant dimension for better characterizing remitted bipolar patients with subthreshold mood symptoms. Levels of high-sensitivity C-reactive protein may be an objective marker of emotional dysregulation in BD. Further studies are needed to confirm our findings.

Significant Need for a French Network of Expert Centers Enabling a Better Characterization and Management of Treatment-Resistant Depression (Fondation FondaMental)

BACKGROUND

Major depression is characterized by (i) a high lifetime prevalence of 16-17% in the general population; (ii) a high frequency of treatment resistance in around 20-30% of cases; (iii) a recurrent or chronic course; (iv) a negative impact on the general functioning and quality of life; and (v) a high level of comorbidity with various psychiatric and non-psychiatric disorders, high occurrence of completed suicide, significant burden along with the personal, societal, and economic costs. In this context, there is an important need for the development of a network of expert centers for treatment-resistant depression (TRD), as performed under the leadership of the Fondation FondaMental.

METHODS

The principal mission of this national network is to establish a genuine prevention, screening, and diagnosis policy for TRD to offer a systematic, comprehensive, longitudinal, and multidimensional evaluation of cases. A shared electronic medical file is used referring to a common exhaustive and standardized set of assessment tools exploring psychiatric, non-psychiatric, metabolic, biological, and cognitive dimensions of TRD. This is paralleled by a medico-economic evaluation to examine the global economic burden of the disease and related health-care resource utilization. In addition, an integrated biobank has been built by the collection of serum and DNA samples for the measurement of several biomarkers that could further be associated with the treatment resistance in the recruited depressed patients. A French observational long-term follow-up cohort study is currently in progress enabling the extensive assessment of resistant depressed patients. In those unresponsive cases, each expert center proposes relevant therapeutic options that are classically aligned to the international guidelines referring to recognized scientific societies.

DISCUSSION

This approach is expected to improve the overall clinical assessments and to provide evidence-based information to those clinicians most closely involved in the management of TRD thereby facilitating treatment decisions and choice in everyday clinical practice. This could contribute to significantly improve the poor prognosis, the relapsing course, daily functioning and heavy burden of TRD. Moreover, the newly created French network of expert centers for TRD will be particularly helpful for a better characterization of sociodemographic, clinical, neuropsychological, and biological markers of treatment resistance required for the further development of personalized therapeutic strategies in TRD.

Rationale and protocol for using a smartphone application to study autism spectrum disorders: SMARTAUTISM

INTRODUCTION

Longitudinal studies on the evolution of autism spectrum disorder (ASD) symptoms are limited and have primarily used repeated measurements performed several months apart. However, measurements of changes in everyday life should more closely reflect the 'real life' of the patient and his or her family. We propose to study the child's ASD symptoms and their effect on the quality of life, psychological status and anxiety of the child's parents over a 6-month period using SMARTAUTISM, a smartphone application.

METHOD AND ANALYSIS

This is a prospective, longitudinal, exploratory, open study with a 6-month follow-up period. Data will be recorded longitudinally over multiple weeks under natural conditions. The factors affecting the quality of life and anxiety of parents of children with ASD and the children's functional symptoms will be examined, and the feasibility of using a smartphone application designed for parents of ASD patients will be assessed.

PRIMARY OBJECTIVE

Explore the evolution of a child's behaviour over 6 months and the (psychological and social) effects of these changes on the family.

SECONDARY OBJECTIVE

Assess the feasibility of our application by examining the filling rate and application usage by parents for 6 months. 100 families containing 1 child diagnosed with ASD will be included. At baseline, sociodemographic, psychiatric and medical data will be recorded. The correlations of the general epidemiological variables (primary outcome measure) will be evaluated via multivariate analysis. The application filling rate (relative to the ideal filling rate) will be used to assess the feasibility of the application (secondary outcome measure).

ETHICS AND DISSEMINATION

The SMARTAUTISM study has the approval of the local ethics committee, and data security will be ensured via the use of encryption and a secure medical server. The use of this application will be proposed at autism resource centres across France.

Stimulation of subgenual cingulate area decreases limbic top-down effect on ventral visual stream: A DBS-EEG pilot study

Deep brain stimulation (DBS) of the subgenual cingulate gyrus (area CG25) is beneficial in treatment resistant depression. Though the mechanisms of action of Cg25 DBS remain largely unknown, it is commonly believed that Cg25 DBS modulates limbic activity of large networks to achieve thymic regulation of patients. To investigate how emotional attention is influenced by Cg25 DBS, we assessed behavioral and electroencephalographic (EEG) responses to an emotional Stroop task in 5 patients during ON and OFF stimulation conditions. Using EEG source localization, we found that the main effect of DBS was a reduction of neuronal responses in limbic regions (temporal pole, medial prefrontal and posterior cingulate cortices) and in ventral visual areas involved in face processing. In the dynamic causal modeling (DCM) approach, the changes of the evoked response amplitudes are assumed to be due to changes of long range connectivity induced by Cg25 DBS. Here, using a simplified neural mass model that did not take explicitly into account the cytoarchitecture of the considered brain regions, we showed that the remote action of Cg25 DBS could be explained by a reduced top-down effective connectivity of the amygdalo-temporo-polar complex. Overall, our results thus indicate that Cg25 DBS during the emotional Stroop task causes a decrease of top-down limbic influence on the ventral visual stream itself, rather than a modulation of prefrontal cognitive processes only. Tuning down limbic excitability in relation to sensory processing might be one of the biological mechanisms through which Cg25 DBS produces positive clinical outcome in the treatment of resistant depression.

Circadian rhythms and metabolism: from the brain to the gut and back again

This paper focuses on the relationship between the circadian system and glucose metabolism. Research across the translational spectrum confirms the importance of the circadian system for glucose metabolism and offers promising clues as to when and why these systems go awry. In particular, basic research has started to clarify the molecular and genetic mechanisms through which the circadian system regulates metabolism. The study of human behavior, especially in the context of psychiatric disorders, such as bipolar disorder and major depression, forces us to see how inextricably linked mental health and metabolic health are. We also emphasize the remarkable opportunities for advancing circadian science through big data and advanced analytics. Advances in circadian research have translated into environmental and pharmacological interventions with tremendous therapeutic potential.

Disease burden morbidity assessment by self-report: Psychometric properties in older adults in Spain

AIM

To carry out an analysis of the psychometric properties of the Disease Burden Morbidity Assessment (DBMA) according to the assumptions of the Classical Test Theory.

METHODS

A sample of 707 community-dwelling adults aged 65 years and older, living in Spain, completed the DBMA. Psychometric properties of the scale (feasibility, acceptability, scaling assumptions, reliability and construct validity) were analyzed.

RESULTS

The mean DBMA score was 6.8. Feasibility and acceptability were satisfactory, except for large floor effects (>50%), as well as a skewed distribution (1.8). Item-total corrected correlation ranged 0.10-0.49, item homogeneity index was 0.09 and Cronbach's alpha was 0.72. Disease burden correlated strongly with physical functioning (r = -0.56) and perceived health (r = -0.56), and moderately with depression (r = 0.41) and the Personal Wellbeing Index (r = -0.41). Exploratory factor analysis extracted five factors, explaining 44% of the variance.

CONCLUSIONS

The DBMA is an acceptable and valid instrument for measuring disease burden in older adults. Future studies should include Rasch analysis to further assess dimensionality and explore other measurement properties. Geriatr Gerontol 2017; 17: 1102-1108.

Alteration of complex negative emotions induced by music in euthymic patients with bipolar disorder

BACKGROUND

Research has shown bipolar disorder to be characterized by dysregulation of emotion processing, including biases in facial expression recognition that is most prevalent during depressive and manic states. Very few studies have examined induced emotions when patients are in a euthymic phase, and there has been no research on complex emotions. We therefore set out to test emotional hyperreactivity in response to musical excerpts inducing complex emotions in bipolar disorder during euthymia.

METHODS

We recruited 21 patients with bipolar disorder (BD) in a euthymic phase and 21 matched healthy controls. Participants first rated their emotional reactivity on two validated self-report scales (ERS and MAThyS). They then rated their music-induced emotions on nine continuous scales. The targeted emotions were wonder, power, melancholy and tension. We used a specific generalized linear mixed model to analyze the behavioral data.

RESULTS

We found that participants in the euthymic bipolar group experienced more intense complex negative emotions than controls when the musical excerpts induced wonder. Moreover, patients exhibited greater emotional reactivity in daily life (ERS). Finally, a greater experience of tension while listening to positive music seemed to be mediated by greater emotional reactivity and a deficit in executive functions.

LIMITATIONS

The heterogeneity of the BD group in terms of clinical characteristics may have influenced the results.

CONCLUSIONS

Euthymic patients with bipolar disorder exhibit more complex negative emotions than controls in response to positive music.

Caractéristiques cliniques pour un meilleur choix thérapeutique dans la dépression bipolaire

Face aux difficultés persistantes pour traiter efficacement la dépression bipolaire et à face à la complexité des guidelines, il est indispensable d’identifier des prédicteurs de réponse aux traitements médicamenteux. Les dépressions bipolaires sont plus difficiles à traiter que les dépressions unipolaires en raison d’une moins bonne réponse aux traitements pharmacologiques et du risque de virage de l’humeur. Dans les recommandations internationales, on observe depuis quelques années une évolution qui donne une place plus importante aux thymorégulateurs classiques (lithium et valproate), puis une apparition des antipsychotiques et enfin une régression des antidépresseurs . Rien cependant n’indique dans ces recommandations comment orienter son choix, notamment en fonction de caractéristiques cliniques de la dépression. Des études cliniques avec une approche dimensionnelle ont montré que les dépressions bipolaires pouvaient être caractérisées par la réactivité émotionnelle mesurée par la Multidimensional Assessment of Thymic States Scale (MAThyS) , celle-ci pouvant constituer un marqueur d’intérêt de réponse aux traitements pharmacologiques. Dans cette perspective, l’utilisation de modèles statistiques originaux de trajectoire pour différencier des profils cliniques de réponses aux traitements a permis de montrer que l’hyperréactivité émotionnelle serait un facteur prédictif d’une bonne réponse aux antipsychotiques atypiques. La force de cette étude réalisée sur six semaines consécutives est de pouvoir observer la réponse aux traitements quel que soit l’épisode en cours sur un grand nombre de sujets, et l’une des limites était le faible effectif des patients sous antidépresseurs. Au vu de ces résultats prometteurs, nous prévoyons d’élargir l’échantillon et d‘utiliser la MAthyS pour suivre les réponses thérapeutiques.

The State of the Art of the DSM-5 "with Mixed Features" Specifier

The new DSM-5 “with mixed features” specifier (MFS) has renewed the interest of the scientific community in mixed states, leading not only to new clinical studies but also to new criticisms of the current nosology. Consequently, in our paper we have reviewed the latest literature, trying to understand the reactions of psychiatrists to the new nosology and its epidemiological, prognostic, and clinical consequences. It seems that the most widespread major criticism is the exclusion from the DSM-5 MFS of overlapping symptoms (such as psychomotor agitation, irritability, and distractibility), with a consequent reduction in diagnostic power. On the other hand, undoubtedly the new DSM-5 classification has helped to identify more patients suffering from a mixed state by broadening the narrow DSM-IV-TR criteria. As for the clinical presentation, the epidemiological data, and the therapeutic outcomes, the latest literature does not point out a univocal point of view and further research is needed to fully assess the implications of the new DSM-5 MFS. It is our view that a diagnostic category should be preferred to a specifier and mixed states should be better considered as a spectrum of states, according to what was stated many years ago by Kraepelin.

The ability of early changes in motivation to predict later antidepressant treatment response

INTRODUCTION

Baseline values and early changes of emotional reactivity, cognitive speed, psychomotor function, motivation, and sensory perception have not been studied to any extent in unipolar depression, although they could help to characterize different dimensions of illness that are harder to capture by clinicians, give new insights on how patients improve, and offer new early clinical markers for later treatment response.

METHODS

About 1,565 adult outpatients with major depressive disorder receiving agomelatine completed the clinician-rated 16-item quick inventory of depressive symptoms, Clinical Global Impression, and Multidimensional Assessment of Thymic States (MAThyS) rating scales at inclusion, Week 2 and Week 6. The MAThyS includes a 20-item self-rated visual analog scale (from inhibition [0] to activation [10], with [5] representing the usual state) leading to five a priori dimensions (emotional reactivity, cognitive speed, psychomotor function, motivation, and sensory perception).

RESULTS

All MAThyS dimension scores increased from inclusion to Week 2 and from inclusion to Week 6 (P<0.001). Improvement was around 2 points (out of 10) for motivation, 1.5 points for psychomotor function, and 0.5 points for other dimensions. Motivation showed a trend to being more severely impaired at inclusion in future nonresponders (t=1.25, df=1,563, P=0.10). Its improvement at Week 2 was the most discriminating MAThyS dimension between future responders and nonresponders, and represents the best predictor of future response, with the highest area under the receptor operating characteristic curve (area under curve =0.616, 95% confidence interval [0.588-0.643], P<0.001). Finally, improvements in motivation correlated the most strongly with clinician-rated 16-item quick inventory of depressive symptoms improvement (r=-0.491, df=1,563, P<0.001).

CONCLUSION

Motivation had the most capacity for early improvement, the best predictive value for response, and the largest global margin of progress in depressed outpatients. Assessing the evolution of self-reported motivation over time in major depressive disorder could offer an interesting complementary approach to predict response.

Subjective and physiological emotional response in euthymic bipolar patients: a pilot study

The euthymic phase of bipolar disorders may be associated with residual emotional and/or subsyndromal symptoms. The aim of this study was to compare subjective and physiologic emotional response to negative, neutral and positive emotion eliciting pictures between euthymic bipolar patients (n=26) and healthy controls (n=30). We evaluated emotional response using an emotional induction method with emotional pictures from the International Affective Picture System. We measured subjective emotional response with the Self-Assessment Manikin and physiological emotional response by measuring pupil size. No difference was found between euthymic bipolar patients and controls regarding subjective emotional response. However, upon viewing positive pictures, pupil dilation was significantly lower in euthymic bipolar patients compared to controls. This finding suggests that euthymic bipolar phase may be associated with reduced physiologic emotional response to positive valence, which is consistent with a more general negative emotional bias or can be understood as a residual emotional subsyndromal symptom.

Prolonged hemodynamic response during incidental facial emotion processing in inter-episode bipolar I disorder

This fMRI study examined whether hemodynamic responses to affectively-salient stimuli were abnormally prolonged in remitted bipolar disorder, possibly representing a novel illness biomarker. A group of 18 DSM-IV bipolar I-diagnosed adults in remission and a demographically-matched control group performed an event-related fMRI gender-discrimination task in which face stimuli had task-irrelevant neutral, happy or angry expressions designed to elicit incidental emotional processing. Participants' brain activation was modeled using a "fully informed" SPM5 basis set. Mixed-model ANOVA tested for diagnostic group differences in BOLD response amplitude and shape within brain regions-of-interest selected from ALE meta-analysis of previous comparable fMRI studies. Bipolar-diagnosed patients had a generally longer duration and/or later-peaking hemodynamic response in amygdala and numerous prefrontal cortex brain regions. Data are consistent with existing models of bipolar limbic hyperactivity, but the prolonged frontolimbic response more precisely details abnormalities recognized in previous studies. Prolonged hemodynamic responses were unrelated to stimulus type, task performance, or degree of residual mood symptoms, suggesting an important novel trait vulnerability brain dysfunction in bipolar disorder. Bipolar patients also failed to engage pregenual cingulate and left orbitofrontal cortex-regions important to models of automatic emotion regulation-while engaging a delayed dorsolateral prefrontal cortex response not seen in controls. These results raise questions about whether there are meaningful relationships between bipolar dysfunction of specific ventromedial prefrontal cortex regions believed to automatically regulate emotional reactions and the prolonged responses in more lateral aspects of prefrontal cortex.

Residual symptoms and functional performance in a large sample of euthymic bipolar patients in France (the OPTHYMUM study)

BACKGROUND

Some residual symptoms were found to be associated with impaired functioning in euthymic bipolar patients, but their impact and relevance are unclear in clinical practice. We re-examined the functional influence of a large set of residual symptoms in 525 euthymic bipolar outpatients using self- and clinician-rated questionnaires (OPTHYMUM study).

METHODS

This was a multi-centre, cross-sectional, non-interventional study of adult bipolar outpatients. All patients were euthymic at the time of assessment (YMRS score <8 and BDRS ≤8). Patients with low functioning (GAF score <60) were compared with the rest of the sample. Patients filled in specific questionnaires concerning their perceptions of different residual and subsyndromal symptoms.

RESULTS

Ninety-seven (97) psychiatrists included 525 patients. Of them, 35 patients had a GAF score <60. These "low functioning patients" were more frequently unemployed, had presented more manic episodes and psychotic symptoms, used more atypical antipsychotics or benzodiazepines and received less adjunctive psychotherapy. Concerning residual symptoms, they had more frequent emotional subsyndromal symptoms, disruption of circadian rhythms and sexual disorders. They perceived some cognitive deficits and suffered more social and family stigma.

LIMITATIONS

Our study used an arbitrary GAF cut-off score (60) to separate bipolar patients in two groups (low and satisfactory functioning).

CONCLUSIONS

Residual symptoms are associated with functional impairment and may represent specific treatment targets. A personalized approach through specific psychotherapeutic programs may lead to more efficient support by the clinician.

[Clinical description of mixed mania]

DSM-IV mixed states have become the mixed mania and mixed depression in the new DSM-5. One noticeable point is the introduction of nine cations, among which the "with mixed features" specification. These non exclusive specifications may contribute to a more precise identification of mixed clinical pictures, and therefore to offer a more efficient therapeutic answer. Different dimensional approaches are widely documented. They allow the isolation of a mixed factor which is clinically associated with two other specifications: anxious distress and psychotic features. These severity markers may encourage clinicians to be alert about the risk of misdiagnosis, and cautious in the management of these clinical situations.

From inhibition to activation, from emotional hyporeactivity to emotional hyperreactivity: two pathways to discriminate mood in bipolar disorders

To better explore the clinical heterogeneity of bipolar mood states, we developed a dimensional scale for assessing all mood episodes (depressive, hypomanic, manic, mixed states) using the same tool. The Multidimensional Assessment of Thymic States (MATHYS) (Henry et al., 2008) provides two scores, a total score measuring a level of activation and a sub-score of emotional reactivity. The aim of this study was to establish the appropriate cut-off in total activation versus inhibition and in the emotional reactivity sub-score in bipolar disorders. Patients (n=187) during an acute episode and controls (n=89) filled in the MATHYS. Receiver Operating Characteristic (ROC) curves were obtained to estimate the sensitivity and specificity of the global score and the emotional reactivity sub-score of the MATHYS, in order to differentiate patients from controls. ROC curves showed very satisfactory sensitivity and specificity levels both for the total score and the sub-score of emotional reactivity, thus providing an appropriate cut-off. Concerning the total score between 0 and 200, patients with a score lower than 91 had significant global inhibition and those with a score higher than 109 had significant global activation. Regarding the emotional reactivity sub-score between 0 and 40, patients with a score lower than 16 had significant emotional hyporeactivity and those with a score higher than 24 had significant emotional hyperreactivity. Our results provide cut-offs for the MATHYS to identify patients in an acute phase.

Mixed states in DSM-5: implications for clinical care, education, and research

The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) nomenclature for the co-occurrence of manic and depressive symptoms (mixed states) has been revised in the new DSM-5 version to accommodate a mixed categorical-dimensional concept. The new classification will capture subthreshold non-overlapping symptoms of the opposite pole using a "with mixed features" specifier to be applied to manic episodes in bipolar disorder I (BD I), hypomanic, and major depressive episodes experienced in BD I, BD II, bipolar disorder not otherwise specified, and major depressive disorder. The revision will have a substantial impact in several fields: epidemiology, diagnosis, treatment, research, education, and regulations. The new concept is data-driven and overcomes the problems derived from the extremely narrow definition in the DSM-IV-TR. However, it is unclear how clinicians will deal with the possibility of diagnosing major depression with mixed features and how this may impact the bipolar-unipolar dichotomy and diagnostic reliability. Clinical trials may also need to address treatment effects according to the presence or absence of mixed features. The medications that are effective in treating mixed episodes per the DSM-IV-TR definition may also be effective in treating mixed features per the DSM-5, but new studies are needed to demonstrate it.

Bipolar disorder diagnosis: challenges and future directions

Bipolar disorder refers to a group of affective disorders, which together are characterised by depressive and manic or hypomanic episodes. These disorders include: bipolar disorder type I (depressive and manic episodes: this disorder can be diagnosed on the basis of one manic episode); bipolar disorder type II (depressive and hypomanic episodes); cyclothymic disorder (hypomanic and depressive symptoms that do not meet criteria for depressive episodes); and bipolar disorder not otherwise specified (depressive and hypomanic-like symptoms that do not meet the diagnostic criteria for any of the aforementioned disorders). Bipolar disorder type II is especially difficult to diagnose accurately because of the difficulty in differentiation of this disorder from recurrent unipolar depression (recurrent depressive episodes) in depressed patients. The identification of objective biomarkers that represent pathophysiologic processes that differ between bipolar disorder and unipolar depression can both inform bipolar disorder diagnosis and provide biological targets for the development of new and personalised treatments. Neuroimaging studies could help the identification of biomarkers that differentiate bipolar disorder from unipolar depression, but the problem in detection of a clear boundary between these disorders suggests that they might be better represented as a continuum of affective disorders. Innovative combinations of neuroimaging and pattern recognition approaches can identify individual patterns of neural structure and function that accurately ascertain where a patient might lie on a behavioural scale. Ultimately, an integrative approach, with several biological measurements using different scales, could yield patterns of biomarkers (biosignatures) to help identify biological targets for personalised and new treatments for all affective disorders.

Inhibition/activation in bipolar disorder: validation of the Multidimensional Assessment of Thymic States scale (MAThyS)

BACKGROUND

One of the major issues in clinical practice is the accurate differential diagnosis between mixed states and depression, often leading to inappropriate prescriptions of antidepressants in mixed states, and as a consequence, increasing the risk of manic switch and suicide. In order to better define the spectrum of mixed states, it may be useful to develop a dimensional approach. In this context, the MAThyS (Multidimensional Assessment of Thymic States) scale was built to assess activation/inhibition levels in all bipolar mood episodes, and to determine whether a clinical description in terms of activation/inhibition can help better define bipolar states with which both manic and depressive symptoms are associated. The aim of this paper is the validation of the MAThyS scale in 141 bipolar patients in acute states (manic, hypomanic, mixed, or depressive).

METHODS

The validation of the MAThyS scale was the primary outcome of this 24-week, phase III, open-label, olanzapine single-arm clinical trial. Principal component, factorial analysis, and Cronbach's coefficient calculation (internal consistency) were performed. Concurrent validity (correlations with 17-item Hamilton Depression Rating Scale [HAMD-17], Hamilton Anxiety Rating Scale [HAMA], and Young Mania Rating Scale [YMRS]) and responsiveness to the clinical intervention were assessed (change in MAThyS scale and effect size) at 6 and 24 weeks.

RESULTS

Scree plot of eigenvalues identified a 2-dimension structure ("activation/inhibition level" and "emotional component"). Psychometric properties were good: Cronbach's coefficient was >0.9. Concurrent validity was good with low correlation (-0.19) with the HAMA scale and a higher correlation at baseline with the YMRS (0.72) and HAMD-17(-0.43). As expected, the activation state was predominant in manic, hypomanic, and mixed states while inhibition was predominant in depressive states. MAThyS score improvement was observed (effect size: -0.3 at 6 and 24 weeks).

CONCLUSIONS

The MAThyS demonstrated good psychometric properties. The MAThyS scale may help clinicians to better discriminate and follow bipolar episodes, especially the broad spectrum of mixed episodes.

Group-based trajectory modeling: a novel approach to examining symptom trajectories in acute bipolar episodes

BACKGROUND

Pattern analysis can aid understanding of trajectories of symptom evolution. However, most studies focus on relatively homogeneous disorders with a restricted range of outcomes, prescribed a limited number of classes of medication. We explored the utility of pattern analysis in defining short-term outcomes in a heterogeneous clinical sample with acute bipolar disorders.

METHOD

In a naturalistic observational study, we used Group-based trajectory modeling (GBTM) to define trajectories of symptom change in 118 bipolar cases recruited during an acute DSM IV episode: major depression (56%), (hypo)mania (26%), and mixed states (18%). Symptoms were assessed weekly for a month using the MATHYS, which measures symptoms independent of episode polarity.

RESULTS

Four trajectories of symptom change were identified: Persistent Inhibition, Transient Inhibition, Transient Activation and Over-activation. However, counter to traditional predictions, we observed that bipolar depression shows a heterogeneous response pattern with cases being distributed approximately equally across trajectories that commenced with inhibition and activation.

LIMITATIONS

The observational period focuses on acute outcomes and so we cannot use the findings to predict whether the trajectories lead to stable improvement or whether the clinical course for some clusters is cyclical. As in all GBTM, the terms used for each trajectory are subjective, also the modeling programme we used assumes dropouts are random, which is clearly not always the case.

CONCLUSION

This paper highlights the potential importance of techniques such as GBTM in distinguishing the different response trajectories for acutely ill bipolar cases. The use of the MATHYS provides further critical insights, demonstrating that clustering of cases with similar response patterns may be independent of episodes defined by mood state.

Emotional dysfunction as a marker of bipolar disorders

BACKGROUND

Assessment of emotional reactivity, defined as rapid emotional responses to salient environmental events, has been neglected in mood disorders. This article reviews data showing the relevance of using emotional reactivity to better characterize bipolar mood episodes.

METHOD

We reviewed clinical data on emotional reactivity during all phases of bipolar disorders (euthymic, manic, mixed and depressive states) and brain-imaging, neurochemical, genetic studies related to emotional reactivity disturbances.

RESULT

Euthymic bipolar patients show mild abnormalities (hypersensitivity to emotional stimuli and higher arousability) in comparison to controls. Both manic and mixed states are characterized by a significant increase in emotional reactivity. Furthermore, emotional reactivity may discriminate between two types of bipolar depression, the first being characterized by emotional hypo-reactivity and global behavioral inhibition, the second by emotional hyper-reactivity. Brain-imaging studies can help to identify the underlying mechanisms involved in disturbances of emotional reactivity.

CONCLUSION

Emotional reactivity can be used to refine more homogeneous pathophysiological subtypes of mood episodes. Future research should explore possible correlations between biomarkers, response to treatments and these clinical phenotypes.

Emotional hyperreactivity as a core dimension of manic and mixed states

Despite its obvious importance in mood disorders, characterization of emotional reactivity has been neglected in bipolar disorders. Concerning manic states and the current classification, the main criterion is the presence of an elevated or expansive mood. In contrast to this characteristic and often prolonged mood state, emotional reactivity refers to a brief evoked response to salient emotional stimuli. The goal of this study was to assess the intensity of emotional responses triggered by viewing slides in bipolar patients with manic or mixed states. Our hypothesis was that all emotional responses are exacerbated, whatever the valence of the stimuli. We compared 33 patients with manic or mixed states with 33 matched euthymic patients and 33 healthy control subjects. Arousal and attribution of valence were assessed while subjects viewed slides taken from the International Affective Picture System (positive, neutral and negative slides). Patients with manic or mixed states reported a higher arousal when viewing all types of slides in comparison with the other groups. Concerning attribution of valence, patients with manic or mixed states assessed neutral slides as more pleasant. When bipolar patients with manic and mixed states are placed in front of positive, neutral and negative slides, the slides trigger a higher intensity of emotions, whatever the valence of the emotional stimuli. These results strengthen the importance of emotional hyperreactivity as a core dimension in manic and mixed states in bipolar disorder.