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.

Contributions of age and clinical depression to metacognitive performance.

One aspect of metacognition is the ability to judge the accuracy of our own performance, even in the absence of external feedback, which is often measured using confidence ratings. Past research suggests that confidence is lower in Major Depressive Disorder (MDD). Less is known about the ability of MDD patients to discriminate correct from incorrect performance (metacognitive efficiency). The metacognitive performance of aged MDD patients (62-89y) was compared to an age-matched control group. A younger control group (21-28y) was included to also explore the relationshipbetweenageandmetacognitive performance. We found no difference in confidence bias nor metacognitive efficiency between MDD patients and age-matched controls.We found age-related differences in metacognition:normal aging was associated with higher confidencebut lower metacognitive efficiency. The overconfidence was specifically driven by overconfidence in incorrect trials. Our results point to the importance ofage while investigating the relation between MDD and metacognitive performance.

Long-term Outcome Following Electroconvulsive Therapy for Late-Life Depression: Five-Year Follow-up Data From the MODECT Study.

OBJECTIVE: Electroconvulsive therapy (ECT) is the most effective treatment for late-life depression (LLD). Research addressing long-term outcome following an acute course of ECT for LLD is limited. We aimed to describe relapse, cognitive impairment and survival 5 years after a treatment with ECT for severe LLD, and assess the association of clinical characteristics with all three outcome measures. METHODS: This cohort study was part of the Mood Disorders in Elderly treated with ECT (MODECT) study, which included patients aged 55 years and older with major depressive disorder. Data regarding clinical course, cognitive impairment and mortality were collected 5 years after the index ECT course. We used multivariable Cox proportional hazards models and logistic regression models to assess the association of clinical characteristics with relapse and survival, and cognitive impairment, respectively. RESULTS: We studied 110 patients with a mean age of 72.9 years. 67.1% of patients who showed response at the end of the index ECT course relapsed, and the included clinical characteristics were not significantly associated with the risk of relapse. 38.8% of patients with available data showed cognitive impairment at five-year follow-up. 27.5% were deceased; higher age and a higher number of previous psychiatric admissions were significantly associated with increased risk of mortality. CONCLUSIONS: Five-year outcome after a course of ECT for severe LLD seems to be in line with long-term outcome following other acute treatments for severe LLD in terms of relapse, cognitive impairment and survival. Additional studies aimed at improving long-term outcome in severe LLD are warranted.

Does lithium prevent relapse following successful electroconvulsive therapy for major depression? A systematic review and meta-analysis.

OBJECTIVE: The risk of relapse following successful antidepressant treatment, including electroconvulsive therapy (ECT), is substantial. Lithium has been suggested to effectively prevent relapse, yet data remain limited and inconclusive. We performed a systematic review and meta-analysis to examine the efficacy of continuation treatment with lithium in preventing relapse following a successful acute course of ECT in patients with major depression, in comparison to continuation treatment without lithium. We also assessed the role of several study characteristics, possibly impacting the treatment effect. METHODS: A systematic literature search, using the PubMed, Embase, Web of Science, and Cochrane Library databases (up to June 2020), was conducted for prospective and retrospective studies, including patients with unipolar or bipolar depression, that assessed the efficacy of lithium for post-ECT depressive relapse prevention. RESULTS: Of 2556 records screened, 14 articles reporting on 9748 participants who received continuation treatment either with (N = 1571) or without lithium (N = 8177) were included in the meta-analysis. Patients receiving lithium were less likely to experience depressive relapse after a successful acute course of ECT, compared to patients receiving post-ECT prophylaxis without lithium (weighted odds ratio (OR) = 0.53, 95% confidence interval (CI) = 0.34, 0.82), with a number needed to treat (NNT) of 7 (95% CI = 4, 21). We found some limited evidence that older patients may benefit more from continuation treatment with lithium, compared to younger patients. Using the GRADE criteria, the quality of evidence for our outcome measure (i.e., relapse rate) was rated as very low. CONCLUSION: Continuation treatment with lithium may have superior efficacy in reducing the risk of relapse after a successful acute ECT course for major depression, in comparison to continuation treatment without lithium. High-quality studies are needed to confirm this finding.

Relapse after abrupt discontinuation of maintenance electroconvulsive therapy during the COVID-19 pandemic.

OBJECTIVE: Maintenance electroconvulsive therapy (M-ECT) is considered an effective relapse prevention strategy in severe mood and psychotic disorders. How long M-ECT should be continued, and what the outcome is after its discontinuation has not been adequately studied. In our tertiary psychiatric hospital, M-ECT treatments were suspended at the start of the COVID-19 pandemic. We aimed to determine the 6-month relapse rate and time to relapse after abrupt discontinuation of M-ECT and to assess the impact of patient and treatment characteristics on the risk of relapse. METHODS: Eighty-one patients whose M-ECT was discontinued abruptly were followed up prospectively for 6 months, or until relapse (i.e., hospital admission, restart of ECT, change of pharmacotherapy, or suicide (attempt)). We used multivariable Cox proportional hazards models to assess the impact of patient and treatment characteristics on the risk of relapse. RESULTS: Thirty-six patients (44.44%) relapsed within 6 months following abrupt discontinuation of M-ECT. A greater number of previous acute ECT courses, a diagnosis of psychotic disorder (compared with major depressive disorder or bipolar disorder), and a shorter interval between M-ECT treatments at the time of discontinuation were significantly associated with increased risk of relapse. CONCLUSION: Almost half of the patients relapsed, similar to the relapse rate after a successful acute course of ECT. Patients with a shorter interval between M-ECT treatments at the time of discontinuation seem to be at increased risk, as well as patients with a diagnosis of psychotic disorder, compared to patients with mood disorders.

Inflammatory Markers May Inform the Effects of Electroconvulsive Therapy on Cognition in Patients with Depression.

INTRODUCTION: The neurobiological mechanisms underlying the acute cognitive effects of electroconvulsive therapy (ECT) remain poorly understood. Prior research has shown that proinflammatory cytokines such as IL-6, TNF-α, IL1-ß, and IL-10 may interfere with cognitive functioning. Interestingly, immunomodulation is one of the proposed modes of action of ECT. This study investigates whether changes of peripheral levels of IL-6, TNF-α, IL1-ß, and IL-10 are related to changes in cognitive functioning following ECT. METHODS: In the week before and 1 week after an acute course of ECT, 62 patients suffering from depression underwent a neuropsychological evaluation to assess their processing speed using the Symbol Digit Substitution Test (SDST), verbal episodic memory using the Hopkins Verbal Learning Test-Revised (HVLT-R), and their retrospective autobiographic memory using the Autobiographical Memory Interview (AMI) with the peripheral inflammatory markers being measured at the same 2 time points. RESULTS: Patients improved drastically following ECT, while their main performance on both the HVLT-R and AMI declined and their SDST scores remained stable. The levels of IL-6 and IL1-ß had both decreased, where the decrease in IL-6 was related to the decrease in HVLT-R scores. Higher baseline IL-10 levels were associated with a more limited decrease of the HVLT-R scores. CONCLUSION: Our findings tentatively suggest that the effects of ECT on verbal episodic memory may be related to the treatment's immunomodulatory properties, most notably due to decreased IL-6 levels. Moreover, baseline IL-10 appears to be a potential biomarker to predict the effects of ECT on verbal episodic memory. Whilst compelling, the results of this study should be interpreted with caution as, due to its exploratory nature, no correction for multiple comparisons was made. Further, a replication in larger cohorts is warranted.

Inflammation, Hippocampal Volume, and Therapeutic Outcome following Electroconvulsive Therapy in Depressive Patients: A Pilot Study.

INTRODUCTION: Electroconvulsive therapy (ECT) influences the concentration of peripheral inflammatory markers, such as interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). In which way this immune effect contributes to the impact of ECT on the central nervous system in depression remains unknown. OBJECTIVE: The aim of this study was to examine whether the hippocampal volumetric increase in depressed patients treated with ECT is related to changes in peripheral IL-6 and TNF-α levels. METHODS: IL-6 and TNF-α plasma levels were measured in 62 patients 1 week before and after an acute course of ECT. Hippocampal volumes were analyzed in a magnetic resonance imaging (MRI) subsample of 13 patients at the same time points. RESULTS: A significant decrease in IL-6 levels was observed in the total sample and a significant increase in hippocampal volume in the MRI subsample. The reduction of peripheral IL-6 correlated with an increase in total hippocampal volume. A more limited decrease of TNF-α correlated with a more limited increase of both the total and left hippocampus volumes. CONCLUSION: This pilot study is the first to highlight the link between peripheral immune changes and hippocampal volume increase following ECT. Further research is required to conclude whether ECT indeed exerts its central effect on the brain via changes of peripheral inflammatory markers.

Performance of the Psychotic Depression Assessment Scale as a Predictor of ECT Outcome.

OBJECTIVES: The presence of psychotic symptoms is an important predictor of responsiveness to electroconvulsive therapy (ECT). This study investigates whether a continuous severity measure, the Psychotic Depression Assessment Scale (PDAS), is a more accurate predictor. METHODS: Depression severity was assessed before and after the ECT course using the Montgomery-Asberg Depression Rating Scale (MADRS) in 31 patients with psychotic depression and 34 depressed patients without psychotic symptoms. Logistic regression models for MADRS response and remission were fitted, with either the PDAS total score or the dichotomous predictors "absence/presence of psychotic symptoms" as the independent variables. Age, episode duration, and treatment resistance were added as covariates. RESULTS: Both the asserted presence of psychotic symptoms and a higher PDAS total score reflected MADRS response (areas under the curve, 0.83 and 0.85, respectively), with MADRS remission also being predicted by the presence of psychotic symptoms and higher PDAS scores (areas under the curves, 0.86 and 0.84, respectively). Age was a contributor to these prediction models, with response and remission rates being highest in the older patients. Psychotic Depression Assessment Scale scores decreased significantly during ECT: at end point, 81.5% of the patients showed significant response and 63.9% had achieved remission. CONCLUSIONS: The PDAS indeed accurately predicts response to and remission after ECT in (psychotic) depression and most pronouncedly so in older patients but seems to have no clear advantage over simply verifying the presence of psychotic symptoms. This could be the consequence of a ceiling effect, as ECT was extremely effective in patients with psychotic depression.ClinicalTrials.gov: Identifier: NCT02562846.

Prediction of electroconvulsive therapy response and remission in major depression: meta-analysis.

BACKGROUND: Electroconvulsive therapy (ECT) is considered to be the most effective treatment in severe major depression. The identification of reliable predictors of ECT response could contribute to a more targeted patient selection and consequently increased ECT response rates. Aims To investigate the predictive value of age, depression severity, psychotic and melancholic features for ECT response and remission in major depression. METHOD: A meta-analysis was conducted according to the PRISMA statement. A literature search identified recent studies that reported on at least one of the potential predictors. RESULTS: Of the 2193 articles screened, 34 have been included for meta-analysis. Presence of psychotic features is a predictor of ECT remission (odds ratio (OR) = 1.47, P = 0.001) and response (OR = 1.69, P < 0.001), as is older age (standardised mean difference (SMD) = 0.26 for remission and 0.35 for response (P < 0.001)). The severity of depression predicts response (SMD = 0.19, P = 0.001), but not remission. Data on melancholic symptoms were inconclusive. CONCLUSIONS: ECT is particularly effective in patients with depression with psychotic features and in elderly people with depression. More research on both biological and clinical predictors is needed to further evaluate the position of ECT in treatment protocols for major depression. Declaration of interest None.

Prediction of Electroconvulsive Therapy Response and Remission in Major Depression: Meta-analysis - CORRIGENDUM.

This notice describes a correction to the above mentioned paper.

The Maudsley Staging Method as predictor of electroconvulsive therapy effectiveness in depression.

OBJECTIVE: To investigate the potential role of the Maudsley Staging Method (MSM) in the prediction of electroconvulsive therapy (ECT) outcome in severely depressed adults. METHOD: Between August 2015 and August 2017, 73 consecutive patients with a major depressive episode (DSM-IV-TR) scheduled for ECT were recruited. Prior to their first ECT session, the MSM was completed to assess the level of therapy resistance. To determine the reduction in depression severity and response and remission rates, symptom severity was assessed at baseline and within one week after the last ECT session using the 17-item Hamilton Depression Rating Scale (HDRS17). RESULTS: The percentage of symptom reduction following ECT was best predicted by the MSM episode duration and depression severity factors (R2 completer sample 0.24). Episode duration alone was the best predictor of remission (area under the ROC curve for completers: 0.72). Adding age to the models increased their predictive capacity. CONCLUSION: An adapted version of the MSM gauging shorter episode duration, more severe depressive symptoms and older age is significantly associated with ECT effectiveness in adults with severe recurrent depression and is thus highly suitable for use in clinical practice, promoting the shared treatment decision-making process.

Observer-rated retardation but not agitation corresponds to objective motor measures in depression.

OBJECTIVE: To explore the correlations between observer ratings and instrumental parameters across domains of psychomotor functioning in depression. METHOD: In total, 73 patients with major depressive disorder underwent extensive psychomotor and clinical testing. Psychomotor functioning was assessed with (i) an observer-rated scale (the CORE measure) and also objectively with (ii) 24-h actigraphy, and (iii) a fine motor drawing task. RESULTS: Observer ratings of retardation correlated with instrumental assessments of fine and gross motor functioning. In contrast, observer ratings of agitation did not correlate with observer ratings of retardation or with the instrumental measures. These associations were partly influenced by age and, to a lesser extent, by depression severity. CONCLUSION: Psychomotor disturbance is a complex concept with different manifestations in depressed patients. Although observer ratings of retardation correspond well with instrumental measures of the motor domains, objective measurement of agitation and other aspects of psychomotor disturbance require further research.

Clinical validation of the Psychotic Depression Assessment Scale (PDAS) against independent global severity ratings in older adults.

OBJECTIVES: According to a recent study, ratings on the Psychotic Depression Assessment Scale (PDAS) obtained via a dedicated semi-structured interview are valid measures of the severity of psychotic depression. This study aimed to further test the validity, scalability and responsiveness of the PDAS in older adults using independent ratings on the Clinical Global Impression Scale - Severity (CGI-S) and the Montgomery-Asberg Depression Rating Scale (MADRS) as references. METHODS: Ratings were performed at admission and discharge at two old age psychiatric wards in Flanders, Belgium. In total, 62 older adults (mean age: 74.3 years) with psychotic depression were included. The PDAS was rated by trained nurses using the semi-structured PDAS interview. Senior psychiatrists scored the participants on the CGI-S. Psychologists or experienced nurses rated participants on the MADRS. Clinical validity was assessed by correlating the PDAS total scores with CGI-S ratings and MADRS total scores. Mokken analysis was performed to assess the scalability of the PDAS. Responsiveness was assessed by comparing the proportion of participants in remission (PDAS total score <8 at study baseline and endpoint). RESULTS: The Spearman correlation coefficients were 0.76 and 0.79 for the PDAS versus CGI-S and PDAS versus MADRS, respectively. The Mokken analysis yielded a Loevinger coefficient of 0.46, which is indicative of scalability. At admission, no participants met the PDAS remission criterion. At discharge, 54% (95% confidence interval: 47%-60%) of the patients met this criterion. CONCLUSION: The PDAS appears to be a clinically valid, scalable and responsive measure of the severity of psychotic depression in older adults.

Distinguishing Subgroups Based on Psychomotor Functioning among Patients with Major Depressive Disorder.

BACKGROUND: Retardation and agitation are symptoms of major depressive disorder (MDD), and their presence could play a role in determining clinically meaningful depressive subtypes such as nonmelancholic depression (NMD) and melancholic depression (MD). In this project, we explored whether three depression subgroups (NMD, MD with psychotic symptoms, and MD without psychotic symptoms) could be distinguished based on objective measures of psychomotor functioning. METHODS: Sixty-nine patients with MDD underwent extensive clinical and psychomotor testing prior to treatment with electroconvulsive therapy. Psychomotor functioning was assessed subjectively using the Core Assessment of Psychomotor Change (CORE) and objectively by means of both 24-h actigraphy and performance on a fine motor drawing task. RESULTS: The daytime activity levels measured by actigraphy were significantly lower (F = 7.1, p = 0.0004) in MD patients both with and without psychotic symptoms than in those with NMD. No objective psychomotor variable was able to distinguish between melancholic patients with and those without psychotic symptoms. CONCLUSIONS: The depression subtypes NMD, MD with psychotic symptoms, and MD without psychotic symptoms are not marked by increasing psychomotor retardation, possibly because psychomotor disturbance in MD with psychotic symptoms often consists of agitation rather than retardation, or a mixture of the two. However, psychomotor functioning as measured by actigraphy can be used to distinguish between NMD patients and MD patients.

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 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.

The impact of high-frequency repetitive transcranial magnetic stimulation on fine motor functions in medication-resistant major depression.

OBJECTIVES: Although high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) over the left dorsolateral prefrontal cortex (DLPFC) has been reported to improve mood symptoms in major depressive disorder (MDD), research on its impact on psychomotor symptoms is scarce. This study assessed the psychomotor effects of 1 and 10 sessions, respectively, of HF-rTMS over the left DLPFC. METHODS: Ten HF-rTMS sessions were applied in 21 medication-free MDD patients over a 2-week period. At the beginning, one placebo (sham)-controlled rTMS session was also applied in a cross-over, single-blind design. Psychomotor variables were digitally recorded during completion of a Fitts' task, at baseline, after the first and second real/sham session and at the end point. RESULTS: The total 10-session treatment period resulted in a decrease of depression severity. One HF-rTMS session resulted in improvements on the Fitts' task, without a difference between active and sham stimulation, however. No further improvements occurred from session 2 to session 10. CONCLUSIONS: No evidence was provided to link the observed psychomotor improvements to HF-rTMS stimulation, as a practice effect could have impacted the significant psychomotor outcomes.

Cognitive trajectories during and after electroconvulsive therapy in patients with MDE: Taking different perspectives.

Cognitive function during an ECT care pathway is mainly investigated at the group level by analyzing mean cognitive test scores over time. However, there are important inter-individual differences, with some patients experiencing residual invalidating cognitive deficits. This study provides a nuanced examination of cognitive functioning during and after ECT by combining three approaches for data analysis. A cognitive test battery was assessed in seventy-three ECT-treated patients with a Major Depressive Episode (MDE) at up to five time points (baseline, immediately prior to the third session and 1 week, 3 months and 6 months after completion of the index course). Group-level changes in cognitive function were investigated using linear mixed models and individual-level changes were examined using Reliable Change Indices (RCI). The presence of patient subgroups with similar cognitive trajectories was explored using Latent Class Growth Analysis (LCGA). At the group level, there was a temporary deterioration in processing speed, verbal memory and retrograde amnesia during and after index course of ECT. Individual-level analyses revealed considerable variability in cognitive effects of ECT. Three patient classes with a similar cognitive trajectory could be identified, all with a rather parallel courses over time, thus mainly differing in terms of pre-ECT cognitive functioning.

White matter changes following electroconvulsive therapy for depression: a multicenter ComBat harmonization approach.

ECT is proposed to exert a therapeutic effect on WM microstructure, but the limited power of previous studies made it difficult to highlight consistent patterns of change in diffusion metrics. We initiated a multicenter analysis and sought to address whether changes in WM microstructure occur following ECT. Diffusion tensor imaging (DTI) data (n = 58) from 4 different sites were harmonized before pooling them by using ComBat, a batch-effect correction tool that removes inter-site technical variability, preserves inter-site biological variability, and maximizes statistical power. Downstream statistical analyses aimed to quantify changes in Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD), by employing whole-brain, tract-based spatial statistics (TBSS). ECT increased FA in the right splenium of the corpus callosum and the left cortico-spinal tract. AD in the left superior longitudinal fasciculus and the right inferior fronto-occipital fasciculus was raised. Increases in MD and RD could be observed in overlapping white matter structures of both hemispheres. At baseline, responders showed significantly smaller FA values in the left forceps major and smaller AD values in the right uncinate fasciculus compared with non-responders. By harmonizing multicenter data, we demonstrate that ECT modulates altered WM microstructure in important brain circuits that are implicated in the pathophysiology of depression. Furthermore, responders appear to present a more decreased WM integrity at baseline which could point toward a specific subtype of patients, characterized by a more altered neuroplasticity, who are especially sensitive to the potent neuroplastic effects of ECT.