Long-acting second-generation injectable antipsychotics for the maintenance treatment of bipolar disorder: a narrative review

INTRODUCTION

Non-adherence to medication significantly affects bipolar disorder outcomes. Long-Acting Injectable antipsychotics show promise by ensuring adherence and averting relapses.

AREAS COVERED

This narrative review sought to evaluate the efficacy of second-generation injectable antipsychotics in bipolar disorder through searches in Embase, MEDLINE, and PsycInfo for randomized controlled trials and mirror-image studies.Risperidone and aripiprazole Long-Acting Injectables demonstrated effectiveness in preventing mood recurrences compared to placebos in adults with bipolar disorder. They showed superiority in preventing mania/hypomania relapses over placebos but did not appear to significantly outperform active oral controls. Notably, active controls seem to be more effective in preventing depression relapses than Long-Acting Injectables. Mirror-Image studies point toward the reduction of hospitalization rates following LAI initiation.

EXPERT OPINION

The available evidence points thus toward the efficacy of LAIs, especially in managing manic episodes and reducing hospitalizations, The current evidence does not however immediately support prioritizing LAIs over oral medications in bipolar disorder treatment. More high-quality studies, especially comparing LAIs directly with active controls, are crucial to gain a comprehensive understanding of their efficacy. These findings highlight the need for further research to guide clinicians in optimizing treatment strategies for bipolar disorder.

Reviewing the neurobiology of electroconvulsive therapy on a micro- meso- and macro-level

BACKGROUND

Electroconvulsive therapy (ECT) remains the one of the most effective of biological antidepressant interventions. However, the exact neurobiological mechanisms underlying the efficacy of ECT remain unclear. A gap in the literature is the lack of multimodal research that attempts to integrate findings at different biological levels of analysis METHODS: We searched the PubMed database for relevant studies. We review biological studies of ECT in depression on a micro- (molecular), meso- (structural) and macro- (network) level.

RESULTS

ECT impacts both peripheral and central inflammatory processes, triggers neuroplastic mechanisms and modulates large scale neural network connectivity.

CONCLUSIONS

Integrating this vast body of existing evidence, we are tempted to speculate that ECT may have neuroplastic effects resulting in the modulation of connectivity between and among specific large-scale networks that are altered in depression. These effects could be mediated by the immunomodulatory properties of the treatment. A better understanding of the complex interactions between the micro-, meso- and macro- level might further specify the mechanisms of action of ECT.

Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Neurostimulation is a mainstream treatment option for major depression. Neuromodulation techniques apply repetitive magnetic or electrical stimulation to some neural target but significantly differ in their invasiveness, spatial selectivity, mechanism of action, and efficacy. Despite these differences, recent analyses of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS)-treated individuals converged on a common neural network that might have a causal role in treatment response. We set out to investigate if the neuronal underpinnings of electroconvulsive therapy (ECT) are similarly associated with this causal depression network (CDN). Our aim here is to provide a comprehensive analysis in three cohorts of patients segregated by electrode placement (N = 246 with right unilateral, 79 with bitemporal, and 61 with mixed) who underwent ECT. We conducted a data-driven, unsupervised multivariate neuroimaging analysis Principal Component Analysis (PCA) of the cortical and subcortical volume changes and electric field (EF) distribution to explore changes within the CDN associated with antidepressant outcomes. Despite the different treatment modalities (ECT vs TMS and DBS) and methodological approaches (structural vs functional networks), we found a highly similar pattern of change within the CDN in the three cohorts of patients (spatial similarity across 85 regions: r = 0.65, 0.58, 0.40, df = 83). Most importantly, the expression of this pattern correlated with clinical outcomes (t = -2.35, p = 0.019). This evidence further supports that treatment interventions converge on a CDN in depression. Optimizing modulation of this network could serve to improve the outcome of neurostimulation in depression.

Mechanism of Action of ECT in Depression

Electroconvulsive therapy (ECT) remains the most potent antidepressant treatment available for patients with major depressive disorder (MDD). ECT is highly effective, achieving a response rate of 70-80% and a remission rate of 50-60% even in treatment-resistant patients. The underlying mechanisms of ECT are not fully understood, although several hypotheses have been proposed, including the monoamine hypothesis, anticonvulsive hypothesis, neuroplastic effects, and immunomodulatory properties. In this paper, we provide an overview of magnetic resonance imaging evidence that addresses the neuroplastic changes that occur after ECT at the human systems level and elaborate further on ECTs potent immunomodulatory properties. Despite a growing body of evidence that suggests ECT may normalize many of the structural and functional changes in the brain associated with severe depression, there is a lack of convergence between neurobiological changes and the robust clinical effects observed in depression. This may be due to sample sizes used in ECT studies being generally small and differences in data processing and analysis pipelines. Collaborations that acquire large datasets, such as the GEMRIC consortium, can help translate ECT's clinical efficacy into a better understanding of its mechanisms of action.

Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Neurostimulation is a mainstream treatment option for major depression. Neuromodulation techniques apply repetitive magnetic or electrical stimulation to some neural target but significantly differ in their invasiveness, spatial selectivity, mechanism of action, and efficacy. Despite these differences, recent analyses of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS)-treated individuals converged on a common neural network that might have a causal role in treatment response. We set out to investigate if the neuronal underpinnings of electroconvulsive therapy (ECT) are similarly associated with this common causal network (CCN). Our aim here is to provide a comprehensive analysis in three cohorts of patients segregated by electrode placement (N = 246 with right unilateral, 79 with bitemporal, and 61 with mixed) who underwent ECT. We conducted a data-driven, unsupervised multivariate neuroimaging analysis (Principal Component Analysis, PCA) of the cortical and subcortical volume changes and electric field (EF) distribution to explore changes within the CCN associated with antidepressant outcomes. Despite the different treatment modalities (ECT vs TMS and DBS) and methodological approaches (structural vs functional networks), we found a highly similar pattern of change within the CCN in the three cohorts of patients (spatial similarity across 85 regions: r = 0.65, 0.58, 0.40, df = 83). Most importantly, the expression of this pattern correlated with clinical outcomes. This evidence further supports that treatment interventions converge on a CCN in depression. Optimizing modulation of this network could serve to improve the outcome of neurostimulation in depression.

An update on pharmacotherapy for recurrent depression in 2022

INTRODUCTION

Major depressive disorder remains a major challenge due to its biopsychosocial burden with increased morbidity and mortality. Despite successful treatment options for the acute episode, recurrence rates are high, on average four times in a life span.

AREAS COVERED

Both pharmacological as non-pharmacological evidence-based therapeutic options to prevent and treat recurrent depression are discussed.

EXPERT OPINION

Although some risk factors for recurrence are well known, better evidence is needed. Antidepressant medication should be continued after acute treatment at its full therapeutic dose for longer periods, at least 1 year. There are no clear differences between classes of antidepressant medication when treatment is focused on preventing relapse. Bupropion is the only antidepressant with a proven efficacy to prevent recurrence in seasonal affective disorder. Recent findings conclude maintenance subanesthetic ketamine and esketamine treatment can be effective in sustaining antidepressant effect following remission. Furthermore, the pharmacological approach must be integrated with lifestyle interventions, especially aerobic exercise. Finally, combining pharma- and psychotherapy seems to improve outcome. Network and complexity sciences will help to decrease the high recurrence rates of MDD by developing more integrative and personalized approaches.

[The neuroplastic effects of electroconvulsive therapy]

Major depressive disorder is an important cause of disability around the world, with a tremendous psychological burden and extensive socioeconomic consequences. Whilst both psychotherapy and psychopharmacology are effective in treating a depressive episode, often there is a delay of several weeks between the start of treatment and the first beneficial effects. More importantly, approximately 30 % of patients do not remit, even after several treatment attempts. As the oldest biological treatment in psychiatry that is still available, electroconvulsive therapy (ECT) remains the most potent of antidepressant interventions, today achieving a staggering 70-80 % response and a 50-60 % remission rate. In treatment-resistant patients, response rates are even as high as 50 %-70 %. Despite its effectiveness, the neurobiological mechanisms of ECT remain unclear. A large body of research suggests that ECT induces widespread changes in both brain structure and function. A key factor behind these powerful therapeutic properties appears to be the important neuroplastic effects of this treatment. This review of the literature will discuss the importance of neuroplasticity in the pathophysiology of depression and then bring up the neuroplastic effects of ECT.

When is pharmacotherapy necessary for the treatment of seasonal affective disorder?

No abstract is required for the editorial.

Impaired facial and vocal emotion decoding in schizophrenia is underpinned by basic perceptivo-motor deficits

INTRODUCTION

Emotional decoding impairments have been largely demonstrated in schizophrenia for facial and prosodic stimuli, when presented separately. Nevertheless, the exploration of crossmodal integration has been far less considered, despite its omnipresence in daily social interactions. Moreover, the role played by basic visuo-motor impairments in unimodal and crossmodal decoding remains unexplored.

METHODS

Thirty-two patients were compared with 32 matched controls in an emotional decoding task including unimodal (visual and auditory) and crossmodal (congruent and incongruent) conditions. A control perceptive task was also conducted to take potential low-level perceptual deficits into account.

RESULTS

Schizoprenic patients presented lower performance and higher reaction times for both unimodal tasks (visual and auditory) and crossmodal conditions. Moreover, reaction times for the visuo-perceptive task were also significantly longer for patients compared to controls.

CONCLUSIONS

The consistency of the results across unimodal and crossmodal tasks suggests a globalised emotional impairment in schizophrenia, independent of the sensorial modality and crossmodal nature of the stimuli. Centrally, given the results in the visuo-perceptive task, the impairments observed for emotional recognition appears at least partly explained by primary cognitive deficits, namely reduced processing speed.