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José Manuel Olivares,1 Köksal Alptekin,2 Jean-Michel Azorin,3 Fernando Cañas,4 Vincent Dubois,5 Robin Emsley,6 Philip Gorwood,7 Peter M Haddad,8 Dieter Naber,9 George Papageorgiou,10 Miquel Roca,11 Pierre Thomas,12 Guadalupe Martinez,13 Andreas Schreiner141Department of Psychiatry, Hospital Meixoeiro, Complejo Hospitalario Universitario de Vigo, Vigo, Spain; 2Department of Psychiatry, Dokuz Eylül University School of Medicine, Izmir, Turkey; 3Department of Psychiatry, Sainte Marguerite Hospital, Marseille, France; 4Department of Psychiatry, Hospital Dr R Lafora, Madrid, Spain; 5Cliniques Universitaires St-Luc, Bruxelles, Belgium; 6Department of Psychiatry, Faculty of Health Sciences, University of Stellenbosch, Cape Town, South Africa; 7Sainte-Anne Hospital, Paris Descartes University and INSERM U894, Paris, France; 8Greater Manchester West Mental Health National Health Service Foundation Trust and Department of Psychiatry, University of Manchester, Manchester, UK; 9Universitätsklinikum Hamburg-Eppendorf, Klinik für Psychiatrie und Psychotherapie, Hamburg, Germany; 10Department of Psychiatry, Evangelismos General Hospital, Athens, Greece; 11Unidad de Psiquiatría, Hospital Juan March, Institut Universitari d’Investigació en Ciències de la Salut, Universitat de les Illes Balears, Palma de Mallorca, Spain; 12Department of Psychiatry, Fontan Hospital CHRU Lille, UDSL, University North of France, Lille, France; 13Medical Affairs, Janssen, Madrid, Spain; 14Medical Affairs, Janssen, Neuss, GermanyBackground: Nonadherence is common among patients with schizophrenia, although the rates vary according to means of assessment and patient population. Failure to adhere to medication can have a major impact on the course of illness and treatment outcomes, including increasing the risk of relapse and rehospitalization. Understanding psychiatrists’ perception of the causes and consequences of nonadherence is crucial to addressing adherence problems effectively.Methods: The Europe, the Middle East, and Africa (EMEA) Spanish Adherencia Terapéutica en la Esquizofrenia (ADHES) survey was conducted by questionnaire during January–March 2010 among psychiatrists treating patients with schizophrenia in 36 countries. The survey comprised 20 questions. In addition to recording the demographic details of the 4722 respondents (~12% response rate), it canvassed their preferred methods of assessing adherence, their perceptions of adherence rates, reasons for nonadherence, and strategies to improve adherence.Results: Psychiatrists estimated that 53% of their patients with schizophrenia were partially/nonadherent during the previous month. They estimated only one-third of patients who deteriorated after stopping medication were able to attribute this to nonadherence. Psychiatrists assessed adherence most often by patient interview. Lack of insight was viewed as the most important cause of medication discontinuation, followed by patients feeling better and thinking their medication unnecessary, and experiencing undesirable side effects. Considerably fewer psychiatrists viewed insufficient efficacy, cognitive impairment, or drug/alcohol abuse as the most important reasons for their patients stopping medication.Conclusion: Psychiatrists throughout EMEA recognize the impact of partial/nonadherence to medication, with patient enquiry being the most commonly used means of assessment. There remains a need for more proactive management of patients with schizophrenia, particularly in increasing patient insight of their illness in order to improve adherence and minimize the consequences of relapse. Strategies focused on raising awareness of the importance of adherence are also warranted, with the aim of improving patient outcomes in schizophrenia.Keywords: adherence, schizophrenia, psychiatrist, survey, ADHES

Objective: To evaluate the impact of a pharmacoeducation module both on hospital stay and on clinical and functional state in a French patient population with schizophrenic and schizoaffective disorders.Methods: After inclusion, 82 patients were randomly distributed in 2 groups, one group receiving the pharmacoeducation module and the other to be a control group. Data on the number of hospital stays and emergency visits, and the type of medication received, were compiled. Patients were evaluated with the Positive and Negative Syndrome Scale, Clinical Global Impression Scale, Barnes Akathisia Scale, Simpson-Angus Scale, Quality of Life Scale, and Global Assessment of Functioning; data were gathered at baseline, then each year for 2 years.Results: Among the 72 analyzed patients, those receiving pharmacoeducation had significantly lower total hospital stays, forced hospital stays, and emergency visits, compared with the control group patients. They also had more improvement in their symptomatology, autonomy, and quality of life. They presented less akathisia and less medication intake.Conclusions: Pharmacoeducation can reduce the hospital stays of patients with schizophrenia and schizoaffective disorders, as well as improve their clinical and functional state, likely through better compliance. [ABSTRACT FROM AUTHOR]

This study evaluates the performance of two convolutional neural networks (CNNs) in a brain-machine interface (BMI) based on motor imagery (MI) by using a small dataset collected from five participants wearing a lower-limb exoskeleton. To address the issue of limited data availability, transfer learning was employed by training models on EEG signals from other subjects and subsequently fine-tuning them to specific users. A combination of common spatial patterns (CSP) and linear discriminant analysis (LDA) was used as a benchmark for comparison. The study's primary aim is to examine the potential of CNNs and transfer learning in the development of an automatic neural classification system for a BMI based on MI to command a lower-limb exoskeleton that can be used by individuals without specialized training.Clinical Relevance- BMI can be used in rehabilitation for patients with motor impairment by using mental simulation of movement to activate robotic exoskeletons. This can promote neural plasticity and aid in recovery.

Brain-machine interfaces (BMIs) based on motor imagery (MI) for controlling lower-limb exoskeletons during the gait have been gaining importance in the rehabilitation field. However, these MI-BMI are not as precise as they should. The detection of error related potentials (ErrP) as a self-tune parameter to prevent wrong commands could be an interesting approach to improve their performance. For this reason, in this investigation ErrP elicited by the movement of a lower-limb exoskeleton against subject's will is analyzed in the time, frequency and time-frequency domain and compared with the cases where the exoskeleton is correctly commanded by motor imagery (MI). The results of the ErrP study indicate that there is statistical significative evidence of a difference between the signals in the erroneous events and the success events. Thus, ErrP could be used to increase the accuracy of BMIs which commands exoskeletons.Clinical Relevance- This investigation has the purpose of improving brain-machine interfaces (BMIs) based on motor imagery (MI) by means of the detection of error potentials. This could promote the adoption of robotic exoskeletons commanded by BMIs in rehabilitation therapies.

Background: The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia., Methods: Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects., Results: There was a 3-year later age at onset for females ( P  < .001) and lower rates of negative symptoms ( P  < .01) and higher depression/anxiety measures ( P  < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages ( P  = .001). No significant effects were found concerning duration of illness., Discussion: Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

Spinal Cord Injury (SCI) refers to damage to the spinal cord that can affect different body functionalities. Recovery after SCI depends on multiple factors, being the rehabilitation therapy one of them. New approaches based on robot-assisted training offer the possibility to make training sessions longer and with a reproducible pattern of movements. The control of these robotic devices by means of Brain-Machine Interfaces (BMIs) based on Motor Imagery (MI) favors the patient cognitive engagement during the rehabilitation, promoting mechanisms of neuroplasticity. This research evaluates the acceptance and feedback received from patients with incomplete SCI about the usage of a MI-based BMI with a lower-limb exoskeleton. Clinical Relevance- Patients experienced satisfaction when using the exoskeleton and levels of mental and physical workload were withing reasonable limits. In addition results from the BMI were promising for the inclusion of this type of systems in rehabilitation programs.

The use of randomized clinical trials, in particular placebo-controlled trials, for drug approval, is the subject of long-standing debate in the scientific community and beyond. This study offers consensus recommendations from clinical and academic experts to guide the selection of clinical trial design in psychiatry. Forty-one highly cited clinical psychiatrists and/or researchers participated in a Delphi survey. Consensus statements were developed based on the findings of a published, peer-reviewed systematic review. Participants evaluated statements in two survey rounds, following the Delphi method. The expert panel achieved consensus on 7 of 21 recommendations regarding the use of randomized clinical trials. The endorsed recommendations were: (i) Results from placebo-controlled trials are the most reliable and (ii) are necessary despite the growing placebo-effect; (iii) it is ethical to enroll patients in placebo-arms when established treatment is available, if there is no evidence of increased health risk; (iv) There is a need to approve new drugs with the same efficacy as existing treatments, but with different side-effect profiles; (v) Non-inferiority trials incur an increased risk of approving ineffective medications; (vi) The risk of approving an ineffective drug justifies trial designs that incur higher costs, and (vii) superiority trials incur the risk of rejecting potentially efficacious treatments. The endorsed recommendations inform the choice of trial-design appropriate for approval of psychopharmacological drugs. The recommendations strongly support the use of randomized clinical trials in general, and the use of placebo-controlled trials in particular., Competing Interests: Declaration of Competing Interest Guy M. Goodwin is a NIHR Emeritus Senior Investigator, holds shares in P1vital and P1Vital products and has served as consultant, advisor or CME speaker in the last 3 years for Beckley Psytech, Clerkenwell Health, Compass pathways, Evapharma, Janssen, Lundbeck, Medscape, Novartis, P1Vital, Sage, Servier. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. Michael Berk is supported by a NHMRC Senior Principal Research Fellowship (1156072). MB has received Grant/Research Support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, Medical Benefits Fund, National Health and Medical Research Council, Medical Research Futures Fund, Beyond Blue, Rotary Health, A2 milk company, Meat and Livestock Board, Woolworths, Avant and the Harry Windsor Foundation, has been a speaker for Abbot, Astra Zeneca, Janssen and Janssen, Lundbeck and Merck and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Janssen and Janssen, Lundbeck Merck, Pfizer and Servier – all unrelated to this work. Andreas Meyer-Lindenberg has received consultant fees from: Boehringer Ingelheim, Elsevier, Brainsway, Lundbeck Int. Neuroscience Foundation, Lundbeck A/S, The Wolfson Foundation, Bloomfield Holding Ltd, Shanghai Research Center for Brain Science, Thieme Verlag, Sage Therapeutics, v Behring Röntgen Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind Institute, Agence Nationale de la Recherche, CISSN (Catania Internat. Summer School of Neuroscience), Daimler und Benz Stiftung, American Association for the Advancement of Science, Servier International. Additionally, he has received speaker fees from: Italian Society of Biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS France, BAG Psychiatrie Oberbayern, Klinik für Psychiatrie und Psychotherapie Ingolstadt, med Update GmbH, Society of Biological Psychiatry, Siemens Healthineers, Biotest AG -All unrelated to this work. Terence A. Ketter has been a consultant to Otsuka Pharmaceuticals, Sunovion Pharmaceuticals, Abbvie, and Alkermes. Joseph Goldberg has been a consultant to BioXCel, Otsuka, Sage Pharmaceuticals, Sunovion, and WebMD, and served on the speaker boards for Allergan, Intracellular Therapies, and Sunovion. Rif S. El-Mallakh is on the speaker bureau of Alkermes, Eisai, Indivior, Intra-Cellular Therapeutics, Janssen, Lundbeck, Noven, Otsuka, Sunonvion, and Teva. Lakshmi N Yatham has been on speaker/advisory boards for, or has received research grants from Abbvie, Alkermes, Allergan, CANMAT, CIHR, DSP, Merck, and Sanofi Rasmus W. Licht has within the preceding three years served an advisory board of Janssen Cilag and Sagw, and received speaker honorarium from Astra-Zeneca, Jannsen-Cilag, Servier and Lundbeck Allan H. Young has been employed by King's College London; Honorary Consultant SLaM (NHS UK). Young has participated in paid lectures and advisory boards for the following companies with drugs used in affective and related disorders: Astrazenaca, Eli Lilly, Lundbeck, Sunovion, Servier, Livanova, Janssen, Allegan, Bionomics, Sumitomo Dainippon Pharma, COMPASS Allan H. Young's independent research funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.Consultant to Johnson & Johnson and Livanova. Received honoraria for attending advisory boards and presenting talks at meetings organized by LivaNova. Prof. Alessandro Serretti is or has been consultant/speaker for: Abbott, Abbvie, Angelini, Astra Zeneca, Clinical Data, Bo- heringer, Bristol Myers Squibb, Eli Lilly, GlaxoSmithKline, Innovapharma, Italfarmaco, Janssen, Lundbeck, Naurex, Pfizer, Polifarma, Sanofi, Servier. Ayşegül Yildiz has nothing to declare. Jean Michel Azorin has received honoraria or research or educational conference grants from Lundbeck and Otsuka. Othman Sentissi has received advisory board honoraria or research or educational conference from Otsuka, Lilly, Lundbeck, Sandoz, Janssen and Sunovion on an institutional account for research and teaching. Prof. Gordon Parker has received lecture fees and board member honoraria from Otsuka, Servier and Lundbeck. Dr. David Bond has received consulting fees and/or research grants from Alkermes, Myriad Genetics, the National Institutes of Health, the University of Minnesota Department of Psychiatry and Behavioral Sciences, and the University of Minnesota Foundation. Prof. Giulio Perugi has received grant/research support from Eli Lilly & Co.; is on the speaker/advisory board of Sanofi-Aventis, Bristol-Myers Squibb, AstraZeneca, Eli Lilly & Co., Jannsen-Cilag, and Lundbeck; and has acted as consultant of AstraZeneca, Eli Lilly & Co., and Lundbeck. Prof. Eduard Vieta has received grants and served as consultant, advisor or CME speaker for the following entities: AB- Biotics, Abbott, Allergan, Angelini, Dainippon Sumitomo Pharma, Galenica, Janssen, Lundbeck, Novartis, Otsuka, Sage, Sanofi-Aventis, and Takeda. Dina Popovic has served as a speaker and/or medical writer and/or consultant and/or has participated in advisory boards for Bristol-Myers Squibb, Dexel, Merck Sharp & Dohme, Janssen-Cilag, Lundbeck, Ferrer, and Forum Pharmaceuticals. None of the remaining authors have conflicts of interest to declare., (Copyright © 2022 Elsevier B.V. and ECNP. All rights reserved.)

In this paper, the paradigm of the intention of speed changes from EEG signals with Riemannian classifiers methods is studied in 10 subjects. In addition, the best frequency band and how different electrode configurations affect the accuracy of the model are analyzed. In the prediction of the intention to change speed, results of 68.6% were obtained, in the one of only Increase, results of 64.41 % were obtained, and in the one of only Decrease, results of 71.5% were obtained.

Introduction: The effects of antipsychotic drugs are dose-dependent, which is particularly true for their efficacy, each antipsychotic having a specific dose-response curve. This may justify individualizing doses for these agents., Areas Covered: We review the pharmacokinetic profiles of seven oral antipsychotics: haloperidol, risperidone, olanzapine, clozapine, quetiapine, ziprasidone, and aripiprazole. Their main indications are psychotic and affective disorders. They are prescribed in a very large population which may have comorbidities. Hence, we analyze the impact of the latter on the pharmacokinetic profiles of these antipsychotics, focusing on renal and hepatic impairment. Reviews and clinical trials were discussed based on a systematic literature search (PubMed) ranging from 1995 to 2022., Expert Opinion: Factors liable to impact antipsychotic dosage are numerous and their subsequent effects often hard to predict, due to multilevel interactions and compensatory phenomena. In clinical practice, physicians must be aware of these potential effects, but base their decisions on monitoring antipsychotic plasma levels.

Background: Aripiprazole is a second-generation antipsychotic, efficacious in patients with schizophrenia during acute episodes. Due to its pharmacological profile, aripiprazole may be of interest in patients with specific clinical profiles who have not been studied extensively in randomised clinical trials., Objectives: To capture experience with aripiprazole in everyday psychiatric practice using the Delphi method in order to inform decision-making on the use of aripiprazole for the treatment of patients with schizophrenia in clinical situations where robust evidence from clinical trials is lacking., Methods: The scope of the survey was defined as the management of schizophrenia in adults. A systematic literature review was performed to identify the different clinical situations in which aripiprazole has been studied, and to describe the level of clinical evidence. Clinical profiles to include in the Delphi survey were selected if there was a clear interest in terms of medical need but uncertainty over the efficacy of aripiprazole. For each clinical profile retained, five to seven specific statements were generated and included in a questionnaire. The final 41-item questionnaire was proposed to a panel of 406 French psychiatrists with experience in the treatment of schizophrenia. Panellists rated their level of agreement using a Likert scale. A second round of voting on eleven items was organised to clarify points for which a consensus was not obtained in the first round., Results: Five clinical profiles were identified in the literature review (persistent negative symptoms, pregnancy, cognitive dysfunction, addictive comorbidity and clozapine resistance). Sixty-two psychiatrists participated in the first round of the Delphi survey and 33 in the second round. A consensus was obtained for 11 out of 41 items in the first round and for 9/11 items in the second round. According to the panellists' clinical experience, aripiprazole can be used as maintenance treatment for pregnant women, is relevant to preserve cognitive function and can be considered an option in patients with a comorbid addictive disorder or with persistent negative symptoms., Conclusion: These findings may help physicians in choosing relevant ways to use aripiprazole and highlight areas where more research is needed to widen the evidence base., (© 2022. The Author(s).)

If there is an abundant literature on the impact of bipolar illness on the family and/or caregivers of patients, few studies have addressed its impact on marital relationship and couple functioning. Uncovering information relating specifically to this topic may be particularly relevant due to the unusually high divorce rate among individuals with bipolar disorder. We therefore conducted a systematic literature search to evaluate the existing data on bipolar disorder and marital issues, with a special focus on the help and support that can be provided by mental health professionals in this regard. We identified quantitative studies with pre-defined outcomes as well as qualitative investigations trying to understand the experiences of partners. A total of 27 articles were included in the review. The literature was found to capture the impact of bipolar disorder on partners as well as on the marital relationship itself or the children. Bipolar illness has a negative impact on the lives of partners including self-sacrifice, caregiver burden, emotional impact, and health problems. This negative impact can be aggravated by a lack of care and a lack of information from health personnel. The negative impact on the relationship includes volatility in the relationship, stigmatization, dissatisfaction with sexual life, and lower rates of childbearing. Negative impacts are likely to favor disease relapses for the patient. Children may also be negatively impacted. However, the illness may sometimes have positive impacts such as personal evolution, strengthening relationship, or new hope and perspectives. Based on these findings, the interventions of mental health professionals should be aimed at minimizing the negative impacts while favoring the positive ones.

Objectives: The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC)., Methods: Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD). The characteristics of bipolar patients with RC (BD-RC) and without (BD-NRC) RC were compared., Results: Of 726 BD patients, 159 (21.9%) met DSM-5 criteria for RC. BD-RC group presented a higher number of lifetime depressive episodes (p < 0.001) with shorter duration of depressive episodes, and more psychiatric comorbidities, as well as higher rates of atypical features (p = 0.016) and concomitant (hypo)manic symptoms (irritable mood (p = 0.001); risky behavior (p = 0.005); impulsivity (p = 0.006); and psychomotor agitation (p = 0.029)). Patients with RC had a worse functioning (p = 0.033), more obesity (p = 0.003), and were significantly more likely to be treated with three or more drugs (p = 0.007)., Conclusions: Important clinical differences between bipolar patients with and without a RC include more depressive morbidity, higher incidence of anxiety disorders, addiction, bulimia, and borderline personality disorder, as well as atypical features during depression and symptoms such as irritability, risky behavior, impulsivity, and agitation. RC patients had poorer functioning than patients without RC, more obesity, and had to be treated with more drugs., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: The aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model., Methods: Twenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed., Results: The results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage., Conclusions: The current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct "cores" of schizophrenia, the "Positive" and the "Negative," while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.

Background: Bipolar disorder (BD) is a chronic and severe mental illness. It requires a non-discontinued pharmacological treatment to prevent mood recurrences but nonadherence to medication is frequent. To this date, medication adherence in BD has been mostly evaluated in cross-sectional studies and often considered as a stable trait. We aimed to study medication adherence using a prospective person-oriented approach., Methods: 1627 BD patients were followed on a 2 years period and assessed every 6 months. Medication adherence was evaluated at each visit with the Medication Adherence Rating Scale (MARS). A latent class mixed model (LCMM) was used to identify trajectory classes of adherence over time. Regression analyses and linear mixed model were used to search for predictors and covariables of the trajectories., Results: Three distinct and robust trajectories of medication adherence have been identified: one that starts poorly and keeps deteriorating (4.8%), one that starts poorly but improves (9%) and one that starts well and keeps improving (86.2%). A good tolerance to psychotropic medications, low depressive symptoms, the absence of comorbid eating disorders and anticonvulsant medication were associated to a better prognosis of adherence. Along the follow-up, the lower were the depressive symptoms, the better was the medication adherence (p < .001) LIMITATIONS: The use of a single measure of medication adherence although it is a validated instrument and a possible positive selection bias that might limit the generalization of our findings., Conclusions: This study demonstrates that medication adherence in BD patients is a heterogeneous and potentially variable phenomenon., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: Longitudinal studies of the relationship between cognition and functioning in bipolar disorder are scarce, although cognition is thought to be a key determinant of functioning. The causal structure between cognition and psychosocial functioning in bipolar disorder is unknown., Aims: We sought to examine the direction of causality between cognitive performance and functional outcome over 2 years in a large cohort of euthymic patients with bipolar disorder., Method: The sample consisted of 272 adults diagnosed with bipolar disorder who were euthymic at baseline, 12 and 24 months. All participants were recruited via the FondaMental Advanced Centers of Expertise in Bipolar Disorders. We used a battery of tests, assessing six domains of cognition at baseline and 24 months. Residual depressive symptoms and psychosocial functioning were measured at baseline and 12 and 24 months. The possible causal structure between cognition and psychosocial functioning was investigated with cross-lagged panel models with residual depressive symptoms as a covariate., Results: The analyses support a causal model in which cognition moderately predicts and is causally primary to functional outcome 1 year later, whereas psychosocial functioning does not predict later cognitive performance. Subthreshold depressive symptoms concurrently affected functioning at each time of measure., Conclusions: Our results are compatible with an upward causal effect of cognition on functional outcome in euthymic patients with bipolar disorder. Neuropsychological assessment may help specify individual prognoses. Further studies are warranted to confirm this causal link and evaluate cognitive remediation, before or simultaneously with functional remediation, as an intervention to improve functional outcome.

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., (© 2020 Wiley Periodicals LLC.)

Introduction: Antipsychotic polypharmacy (APP), defined as the use of more than one antipsychotic, is common in schizophrenia. However, current guidelines consider that the level of evidence to support APP is weak and mostly recommend monotherapy., Areas Covered: Meta-analyses of randomized controlled trials (RCTs) on the efficacy and tolerability of APP, effectiveness studies on its use in clinical practice, as well as theoretical models liable to legitimate this use are reviewed and discussed on the basis of a systematic literature search (PubMed) ranging from 1995 to 2020., Expert Opinion: There is now increasing evidence from both efficacy and effectiveness studies, that APP may be beneficial for some schizophrenia patients. The most evidence seems to be for the combination of clozapine and aripiprazole. The choice of this combination may fit in well with the dopamine supersensitivity hypothesis in schizophrenia. Guidelines should be revised, but further studies are needed to confirm the efficacy/effectiveness of this combination, especially in the case of first-episode schizophrenia.

Background: Many risk factors for suicidal behavior have been identified. Much less has been done to associate risk factors with recurrence of suicidal behavior., Methods: We compared prevalence of 30 potential risk factors among 8496 depressive patient-subjects from the BRIDGE consortium with no (NSA, n = 6267), one (1SA, n = 1123), or repeated (≥2) suicide attempts (RSA, n = 1106)., Results: Prevalence of most factors ranked: RSA ≥ 1SA > NSA, with a notable opposite trend for the diagnosis of type II bipolar disorder (BD). Factors independently and significantly more present among RSA than 1SA subjects were: borderline personality, substance abuse, mood-switching with antidepressant treatment, female sex, and unsatisfactory response to antidepressant treatment. There also were notably strong associations of RSA with type I or probable BD and associated factors, including family history of BD, young onset, mixed and psychotic features., Limitations: Potential effects of treatment on risk of suicidal acts could not be evaluated adequately, as well as associations between levels of suicidal behavior and eventual death by suicide., Conclusions: In a large cohort of depressive patients, there were significant associations not only with suicidal behavior generally, but also with the intensity of suicide attempts., (Copyright © 2020 Elsevier B.V. All rights reserved.)

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., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: We aimed at identifying distinct trajectories of functioning and at describing their respective clinical characteristics in a cohort of individuals with bipolar disorders., Methods: We included a sample of 2351 individuals with bipolar disorders who have been followed-up to 3 years as part as the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort. Global functioning was measured using the Functioning Assessment Short Test. We used latent class mixed models to identify distinct longitudinal trajectories of functioning over 3 years. Multivariable logistic regression models were used to identify the baseline factors that were associated with the membership to each trajectory of functioning., Results: Three distinct trajectories of functioning were identified: (1) a majority of individuals (72%) had a stable trajectory of mild functional impairment, (2) 20% of individuals had a stable trajectory of severe functional impairment and (3) 8% of individuals had a trajectory of moderate functional impairment that improved over time. The membership to a trajectory of stable severe versus stable mild functional impairment was associated with unemployment, a higher number of previous hospitalizations, childhood maltreatment, a higher level of residual depressive symptoms, higher sleep disturbances, a higher body mass index and a higher number of psychotropic medications being prescribed at baseline. The model that included these seven factors led to an area under the curve of 0.85., Conclusion: This study enabled to stratify individuals with bipolar disorders according to three distinct trajectories of functioning. The results regarding the potential determinants of the trajectory of severe functional impairment needs to be replicated in independent samples. Nevertheless, these potential determinants may represent possible therapeutic targets to improve the prognosis of those patients at risk of persistent poor functioning.

Aims: Establishing the minimum clinically important difference (MCID) in functioning and cognition is essential to the interpretation of the research and clinical work conducted in bipolar disorders (BD). The present study aimed to estimate the MCID for the Functioning Assessment Short Test (FAST) and a battery of neuropsychological tests in BD., Methods: Anchor-based and distributive methods were used to estimate the MCID for the FAST and cognition using data from a large, multicentre, observational cohort of individuals with BD. The FAST and cognition were linked with the Clinical Global Impressions Scale-Severity (CGI-S) and Global Assessment of Functioning (GAF) using an equipercentile method. The magnitude of the standard error measurement (s.e.m.) provided another estimate of the MCID., Results: In total, 570 participants were followed for 2 years. Cross-sectional CGI-S and GAF scores were linked to a threshold ⩽7 on the FAST for functional remission. The MCID for the FAST equalled 8- or 9-points change from baseline using the CGI-S and GAF. One s.e.m. on the FAST corresponded to 7.6-points change from baseline. Cognitive variables insufficiently correlated with anchor variables (all ρ <0.3). One s.e.m. for cognitive variables corresponded to a range of 0.45 to 0.93-s.d. change from baseline., Conclusions: These findings support the value of the estimated MCID for the FAST and cognition and may be a useful tool to evaluate cognitive and functional remediation effects and improve patient functional outcomes in BD. The CGI-S and GAF were inappropriate anchors for cognition. Further studies may use performance-based measures of functioning instead.

A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables. A stepwise backward regression model explored the relationship with the 56 clinical-demographic variables available. Agglomerative hierarchical clustering with two clusters was shown as the best fit and separated the study population (n = 2314) into 65.73% (Cluster 1 (C1)) and 34.26% (Cluster 2 (C2)). MANOVA showed a significant main effect for cluster group (p < 0.001) but ANOVA revealed that significant between-group differences were restricted to CGI-BP-D (p < 0.001) and GAF (p < 0.001), showing greater severity in C2. Psychotic features and a minimum of three DSM-5 criteria for mixed features (DSM-5-3C) had the strongest association with C2, that with greater disease burden, while non-mixed depression in bipolar disorder (BD) type II had negative association. Mixed affect defined as DSM-5-3C associates with greater acute severity and overall impairment, independently of the diagnosis of bipolar or unipolar depression. In this study a pure, non-mixed depression in BD type II significantly associates with lesser burden of clinical and functional severity. The lack of association for less restrictive, researched-based definitions of mixed features underlines DSM-5-3C specificity. If confirmed in further prospective studies, these findings would warrant major revisions of treatment algorithms for both unipolar and bipolar depression.

Spinal cord injury (SCI) limits life expectancy and causes a restriction of patient's daily activities. In the last years, robotics exoskeletons have appeared as a promising rehabilitation and assistance tool for patients with motor limitations, as people that have suffered a SCI. The usability and clinical relevance of these robotics systems could be further enhanced by brain-machine interfaces (BMIs), as they can be used to foster patients' neuroplasticity. However, there are not many studies showing the use of BMIs to control exoskeletons with patients. In this work we show a case study where one SCI patient has used a BMI based on motor imagery (MI) in order to control a lower limb exoskeleton that assists their gait.

This paper studies the direction changes during the gait by means of two different distributions of electrodes located in the motor, premotor and occipital areas. The objective is analyzing which areas are involved in the detection of the intention of turning while the person is walking. The signals in both options are characterized with frequency and temporal features and classified following a cross-validation process. A 95% of success rate is achieved when the electrodes are disposed along the motor, premotor and occipital areas.Clinical Relevance- The objective of this study is applying the acknowledgements obtained in the designing of a brain-machine interface (BMI) based in the detection of the intention of the direction change during the gait. This BMI has clinical relevance in the rehabilitation of the gait in patients with motor injuries, assisting the patient to perform the movements as realistic as it is possible.