Electroconvulsive Therapy Outcome Research Articles

Prediction of electroconvulsive therapy outcome: A network analysis approach.

While electroconvulsive therapy (ECT) for the treatment of major depressive disorder is effective, individual response is variable and difficult to predict. These difficulties may in part result from heterogeneity at the symptom level. We aim to predict remission using baseline depression symptoms, taking the associations among symptoms into account, by using a network analysis approach. We combined individual patient data from two randomized controlled trials (total N = 161) and estimated a Mixed Graphical Model to estimate which baseline depression symptoms (corresponding to HRSD-17 items) uniquely predicted remission (defined as either HRSD≤7 or MADRS<10). We included study as moderator to evaluate study heterogeneity. For symptoms directly predictive of remission we computed odds ratios. Three baseline symptoms were uniquely predictive of remission: suicidality negatively predicted remission (OR = 0.75; bootstrapped confidence interval (bCI) = 0.44-1.00) whereas retardation (OR = 1.21; bCI = 1.00-2.02) and hypochondriasis (OR = 1.31; bCI = 1.00-2.25) positively predicted remission. The estimated effects did not differ across trials as no moderation effects were found. By using a network analysis approach this study identified that the presence of suicidal ideation predicts an overall worse treatment outcome. Psychomotor retardation and hypochondriasis, on the other hand, seem to be associated with a better outcome.

Self-Rated ECT Outcomes in Patients With Depression: A Naturalistic Single-Site Study.

Electroconvulsive therapy (ECT) is considered to be the most effective treatment for severe depression. This study investigated recent ECT outcomes for depression at a large tertiary center, which also provides community care. Data were obtained from Mayo Clinic Rochester patients ages 18 and older who received an acute course of ECT between August 1, 2017 and April 30, 2024. Patients were included if there was a depressive disorder diagnosis (unipolar or bipolar) and a self-rated Patient Health Questionnaire-9 (PHQ-9) within 10 days of the start and end of the acute course. Patients were excluded if the starting PHQ-9 score was less than 10. The age, sex, number of acute course treatments, stimulus electrode lead placement, and PHQ-9 scores were collected. Response (PHQ-9 improvement ≥50%) and remission (PHQ-9 < 5) rates were calculated. Linear and logistic regressions were performed to investigate predictors of response and remission. Of 1206 patients identified, 408 met final inclusion and exclusion criteria. The response rate was 80.4%, and remission rate was 52.7%. Logistic regression for response showed no significant predictors; the P value for age just missed statistical significance (odds ratio, 1.0152; 95% confidence interval, 0.9991-1.0316; P = 0.0641). Logistic regression for remission showed only a lower baseline PHQ-9 score (odds ratio, 0.9465; 95% confidence interval, 0.9049-0.9891; P = 0.0152) as a significant predictor. Our results affirmed the high efficacy of ECT in severe depression. No other established treatment for depression can report a response rate as high as 80% in a naturalistic study. This study supports the continued relevance and place of ECT for severe depression.

A prediction model for electroconvulsive therapy effectiveness in patients with major depressive disorder from the Dutch ECT Consortium (DEC).

Reliable predictors for electroconvulsive therapy (ECT) effectiveness would allow a more precise and personalized approach for the treatment of major depressive disorder (MDD). Prediction models were created using a priori selected clinical variables based on previous meta-analyses. Multivariable linear regression analysis was used, applying backwards selection to determine predictor variables while allowing non-linear relations, to develop a prediction model for depression outcome post-ECT (and logistic regression for remission and response as secondary outcome measures). Internal validation and internal-external cross-validation were used to examine overfitting and generalizability of the model's predictive performance. In total, 1892 adult patients with MDD were included from 22 clinical and research cohorts of the twelve sites within the Dutch ECT Consortium. The final primary prediction model showed several factors that significantly predicted a lower depression score post-ECT: higher age, shorter duration of the current depressive episode, severe MDD with psychotic features, lower level of previous antidepressant resistance in the current episode, higher pre-ECT global cognitive functioning, absence of a comorbid personality disorder, and a lower level of failed psychotherapy in the current episode. The optimism-adjusted R² of the final model was 19%. This prediction model based on readily available clinical information can reduce uncertainty of ECT outcomes and hereby inform clinical decision-making, as prompt referral for ECT may be particularly beneficial for individuals with the above-mentioned characteristics. However, despite including a large number of pretreatment factors, a large proportion of the variance in depression outcome post-ECT remained unpredictable.

Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis.

Recent studies have provided promising evidence that neuroimaging data can predict treatment outcomes for patients with major depressive disorder (MDD). As most of these studies had small sample sizes, a meta-analysis is warranted to identify the most robust findings and imaging modalities, and to compare predictive outcomes obtained in magnetic resonance imaging (MRI) and studies using clinical and demographic features. We conducted a literature search from database inception to July 22, 2023, to identify studies using pretreatment clinical or brain MRI features to predict treatment outcomes in patients with MDD. Two meta-analyses were conducted on clinical and MRI studies, respectively. The meta-regression was employed to explore the effects of covariates and compare the predictive performance between clinical and MRI groups, as well as across MRI modalities and intervention subgroups. Meta-analysis of 13 clinical studies yielded an area under the curve (AUC) of 0.73, while in 44 MRI studies, the AUC was 0.89. MRI studies showed a higher sensitivity than clinical studies (0.78 vs. 0.62, Z = 3.42, P = 0.001). In MRI studies, resting-state functional MRI (rsfMRI) exhibited a higher specificity than task-based fMRI (tbfMRI) (0.79 vs. 0.69, Z = -2.86, P = 0.004). No significant differences in predictive performance were found between structural and functional MRI, nor between different interventions. Of note, predictive MRI features for treatment outcomes in studies using antidepressants were predominantly located in the limbic and default mode networks, while studies of electroconvulsive therapy (ECT) were restricted mainly to the limbic network. Our findings suggest a promise for pretreatment brain MRI features to predict MDD treatment outcomes, outperforming clinical features. While tasks in tbfMRI studies differed, those studies overall had less predictive utility than rsfMRI data. Overlapping but distinct network-level measures predicted antidepressants and ECT outcomes. Future studies are needed to predict outcomes using multiple MRI features, and to clarify whether imaging features predict outcomes generally or differ depending on treatments.

Clinical Outcomes of Electroconvulsive Therapy (ECT) for Depression in Older Old People Relative to Other Age Groups Across the Adult Life Span: A CARE Network Study.

Electroconvulsive therapy (ECT) is a commonly used treatment for severe psychiatric illness in older adults, including in the 'older old' population aged 80years and above. However, there can sometimes be a reluctance to treat the 80+ year old age group with ECT due to medical comorbidities, frailty, and concerns about cognition. This multi-site, longitudinal Australian study aimed to investigate the effectiveness and safety of ECT in older old people compared with younger age groups. Data from 310 people receiving ECT for depression at three participating hospitals was collected in a naturalistic setting, between 2015 and 2022. Clinical ratings were conducted pre-ECT and end-acute ECT using the Montgomery-Åsberg Depression Rating Scale (MADRS). Cognitive outcomes were assessed using the Montreal Cognitive Assessment (MoCA). Older old adults demonstrated a significant reduction MADRS scores at post-treatment. They were more likely to meet remission criteria compared with the younger age groups. Older old adults were also less likely to show clinically significant cognitive decline post-ECT, and were more likely to show clinically significant cognitive improvement post-ECT compared with younger age groups. ECT is highly effective in treating severe psychiatric illness in older old adults. Relative to the younger age groups, the older old group were more likely to remit with ECT and a greater proportion showed cognitive improvement post-ECT. These findings suggest that ECT should be considered as a valuable and safe treatment option for older old individuals with depression.

Use of Electroconvulsive Therapy in Children and Adolescents With Catatonia-A Case Series.

Electroconvulsive therapy (ECT) is highly efficacious in catatonia yet remains underutilized in pediatric patients. Practice guidelines recommend bilateral placement in cases with urgent need for response such as catatonia. Because of significantly lower cognitive burden and efficacy (compared to bilateral), right unilateral placement (RUL) is preferred for major depression. Increasing literature shows RUL is effective for catatonia in adults, but its use in catatonic youth is largely unknown. The aims of the study are to describe naturalistic outcomes of ECT in pediatric patients with catatonia and to discuss ECT parameter considerations. This is a retrospective chart review of patients under 18-years of age at Saint Louis Children's Hospital with diagnosis of catatonia who received ECT from 2019 to November 2023. All cases received ECT per clinical protocol. Catatonic symptoms were monitored using the Busch Francis Catatonia Scale. Institutional review board approved the study. Twelve inpatients with debilitating catatonia and a failed benzodiazepine trial underwent ECT. Ten of these 12 patients initiated RUL placement, one received bifrontal, and another bilateral. All patients achieved resolution of catatonia: 6 patients with RUL alone and 4 who started with RUL later switched to bilateral due to nonresponse. The patient receiving bifrontal switched to bilateral due to nonresponse. Patients with malignant catatonia preferentially responded to bilateral placement. Patients experienced expected side effects from ECT. RUL ECT was effective for catatonia in pediatric patients and can be considered as initial placement. A switch to bilateral can be considered in nonresponse, similar to current approach for major depression. For malignant catatonia, bilateral placement remains preferential.

Anesthetic Influence on Electroconvulsive Therapy: A Comprehensive Review.

The prevalence of severe mental disorders has been rising annually. Electroconvulsive therapy (ECT) is considered a valuable treatment option in psychiatry for conditions such as schizophrenia and medication-resistant depression, especially when other treatments have proven insufficient. ECT rapidly improves patients' mood, alleviates symptoms, and demonstrates significant therapeutic effects. Currently, the form of ECT used in clinical practice is modified electroconvulsive therapy (mECT), which is administered under general anesthesia. Accumulative evidence has confirmed that different anesthetic drugs, anesthetic-ECT time interval, anesthetic depth, and airway management can impact the outcomes of ECT. Therefore, this review aims to summarize the current impact of anesthesia factors on ECT, providing reference for clinical anesthesia during ECT procedures.

Response to electroconvulsive therapy in elderly patients with late-onset bipolar disorder: The impact of cerebral small vessel disease.

Cerebral Small Vessel Disease (CSVD) is a chronic, progressive vascular disorder that confers increased vulnerability to psychiatric syndromes, including late-life mood disorders. In this study, we investigated the impact of CSVD on electroconvulsive therapy (ECT) outcomes in patients with late-onset bipolar disorder (BD). A sample of 54 non-demented elderly patients (≥60years) with late-onset BD and treatment-resistant major depression, mixed state, or catatonia who underwent bilateral ECT were included in this naturalistic observational study. A diagnosis of CSVD was established based on brain neuroimaging performed before ECT. All patients were evaluated before and after ECT using the Brief Psychiatric Rating Scale (BPRS), the Hamilton Rating Scale for Depression (HAM-D), and the Clinical Global Impression scale (CGI). Of the total sample, 19 patients were diagnosed with CSVD (35.2%). No significant differences were observed at baseline between patients with and without CSVD. Overall, a response was obtained in 66%-68.5% of patients, with remission in 56.2%. No significant differences in ECT outcomes were found between those with and without CSVD, and both groups exhibited substantial improvements in symptom severity following ECT. The outcome of ECT in late-onset BD was not influenced by the presence of CSVD. This finding aligns with previous research on unipolar depression. Accordingly, ECT should be considered for elderly patients with late-onset BD, regardless of the presence of CSVD.

458. The Impact of the Number of Previous Illness Episodes on Outcome in Electroconvulsive Therapy (ECT) in Psychosis, Mania, Depression, Psychotic Depression, and Catatonia: A Naturalistic Transdiagnostic Analysis

458. The Impact of the Number of Previous Illness Episodes on Outcome in Electroconvulsive Therapy (ECT) in Psychosis, Mania, Depression, Psychotic Depression, and Catatonia: A Naturalistic Transdiagnostic Analysis

No Effect of Serum Electrolyte Levels on Electroconvulsive Therapy Seizure Quality Parameters.

Seizure quality is considered to be associated with treatment outcomes of electroconvulsive therapy (ECT). A wide range of treatment parameters and patient characteristics are known to influence seizure quality. However, conflicting results exist for the role of serum electrolyte levels and seizure quality. We retrospectively analyzed a total of 454 patients and a total of 2119 individual acute ECT sessions irrespective of diagnosis where a clinical evaluation of serum levels of sodium, potassium, and calcium took place routinely up to 2 days before the ECT session. To assess the impact of serum electrolyte levels on seizure quality parameters, we used mixed-effects linear regression analysis with Bonferroni correction for multiple testing. Serum sodium, potassium, and calcium levels were not associated with seizure quality markers after correcting the significance level for multiple testing. Younger age was consistently associated with higher postictal suppression, interhemispheric coherence, midictal amplitude, and peak heart rate. Lower dose was consistently associated with longer electroencephalogram and motor seizure duration. Our results suggest that there is no clinically relevant effect of serum electrolyte levels on seizure quality, at least within clinically commonly observed ranges of serum electrolyte concentrations.

Efficacy of ketamine and thiopentone sodium with modified electroconvulsive therapy in depressive disorder: An observational study

Background: The first-line treatment for people with acute mania, mood disorders, severe depression, and catatonia is electroconvulsive therapy (ECT). The goal of anesthesia during ECT is to cause unconsciousness, and the drugs administered should not have any effect on seizures. Because all anesthetics have some ability to change seizures, the kind of anesthetic used in modified ECT becomes crucial. This study aimed to assess the hemodynamic profile during modified ECT and the effects of ketamine and thiopentone sodium on seizure duration. Aims and Objectives: The aim of the study was to compare the outcome of ECT, such as hemodynamics, improvement in depression, and duration of seizure, with ketamine versus thiopentone sodium in depressive disorder. Materials and Methods: A prospective observational study was conducted with 50 randomly selected depression patients after obtaining permission from the Institutional Ethics Committee and consent from the patients and attendants from June 2021 to November 2022. All 50 cases were equally divided into group K and group T. To obtain the data, a predesigned, semi-structured questionnaire was used along with the Hamilton rating scale for depression and ECT. The Chi-square test was used to measure the association between two categorical variables. A P &lt; 0.05 was considered statistically significant. Results: The mean heart rate, systolic blood pressure, diastolic blood pressure, mean arterial pressure, and saturation of peripheral oxygen are higher in group K than in group T, and the mean difference was significant between group K and group T. Groups had a statistically significant association with increased secretions, nausea and vomiting, and headache, but not with gender, ASA grade, and number of ECT sessions. Conclusion: Compared to ketamine, thiopentone sodium was found to have minimal hemodynamic derangements, a decrease in seizure duration, and side effects.

Perception and Facts Regarding Electroconvulsive Therapy at Benazir Bhutto Hospital, Rawalpindi

Objective: This study delves into the effectiveness of Electroconvulsive Therapy (ECT) as a treatment for psychiatric disorders, focusing on its administration protocols, patient demographics, and therapeutic outcomes. Methods: The research, conducted at Benazir Bhutto Hospital, Rawalpindi, from 2013 to 2018, analysed data from 1779 patients, revealing a substantial prevalence of bipolar affective disorder, severe depressive illness, postpartum psychosis, and catatonic schizophrenia among those undergoing ECT. Results: The study underscores the rapid therapeutic response observed within 1 to 5 ECT sessions, emphasizing the expeditious nature of ECT. The absence of serious side effects reported during the study period supports the safety profile of ECT when administered under appropriate protocols. Conclusion: Electroconvulsive Therapy (ECT) is a viable and effective treatment modality for various psychiatric disorders. This research contributes valuable insights into the utilization and outcomes of ECT, it acknowledges the need for future investigations to explore patient experiences, long-term follow-ups, and potential side effects. Keywords: electroconvulsive therapy, psychiatric illness.

Electroconvulsive Therapy Versus Repetitive Transcranial Magnetic Stimulation in Patients With a Depressive Episode: A Register-Based Study.

Electroconvulsive therapy (ECT) and repetitive transcranial magnetic stimulation (rTMS) are both effective in treating depression. Although rTMS induces fewer adverse effects, its effectiveness relative to ECT is not well established. The aim of this study was to investigate the treatment outcomes of ECT and rTMS in patients who have received both interventions. This was a register-based observational crossover study in patients with depression who had undergone ECT and rTMS in Sweden between 2012 and 2021. Primary outcome was reduction in the Montgomery-Åsberg Depression Rating Scale-Self-report (MADRS-S) score. Secondary outcome was response defined as a 50% or greater decrease in the MADRS-S score. Subgroup analyses were performed to identify factors that predicted differential responses between rTMS and ECT. Continuous and categorical variables were analyzed using paired-samples t tests and McNemar tests, respectively. In total, 138 patients across 19 hospitals were included. The MADRS-S score after ECT and rTMS was reduced by 15.0 and 5.6 ( P = 0.0001) points, respectively. Response rates to ECT and rTMS were 38% and 15% ( P = 0.0001), respectively. Electroconvulsive therapy was superior across all subgroups classified according to age and severity of depression. Our results suggest that ECT is more effective than rTMS in treating depression among patients who have received both interventions. Age and baseline depression severity did not predict who would similarly benefit from rTMS and ECT.

Outcomes of electroconvulsive therapy in patients with depressive symptoms with versus without comorbid personality disorders/traits: A systematic review and meta-analysis.

To assess electroconvulsive therapy (ECT) outcomes in patients affected by depressive symptoms with versus without additional comorbid personality disorders/traits. We identified observational studies investigating ECT clinical outcomes in patients affected by depressive symptoms with versus without comorbid personality disorders/traits in Embase/Medline in 11/2022. Our protocol was registered with PROSPERO (CRD42023390833). Study quality was evaluated using the Newcastle-Ottawa-Scale. Our primary outcomes were ECT response and remission rates. Meta-regression analyses included effects of in/outpatient percentages, age, number of ECT sessions, and electrode placement; subgroup analyses included the assessment methods for personality disorders/traits. We performed sensitivity analyses after excluding poor-quality studies. A total of 20 studies (n = 11,390) were included in our analysis. Patients with comorbid personality disorders/traits had lower remission rates (OR = 0.42, 95% CI = 0.31, 0.58, p < 0.001) with substantial heterogeneity (I2 = 93.0%) as well as lower response rates (OR = 0.35, 95% CI = 0.24, 0.51, n = 5129, p < 0.001) with substantial heterogeneity (I2 = 93.0%) compared with patients without comorbid personality disorders/traits. Relapse rates were higher in patients with versus without comorbid personality disorders/traits (OR = 3.23, 95% CI = 1.40, 7.45, k = 4, n = 239, p = 0.006) with moderate heterogeneity (I2 = 75.0%) and post-ECT memory impairment was more frequent in patients with versus without comorbid personality disorders/traits (OR = 1.41, 95% CI = 1.36, 1.46, k = 4, n = 471, p < 0.001) with minimal heterogeneity (I2 = 0.0%). Dropout rates were higher in patients with versus without comorbid personality disorders/traits (OR = 1.58, 95% CI = 1.13, 2.21, k = 3, n = 6145, p = 0.008). Patients with comorbid personality disorders/traits treated with ECT are reported to have lower response and remission rates and higher rates of side effects and relapse rates compared with patients without personality disorders/traits.

Response to "Borderline Personality Disorder and Outcome of Electroconvulsive Therapy in Patients With Depression: A Systematic Review".

Response to "Borderline Personality Disorder and Outcome of Electroconvulsive Therapy in Patients With Depression: A Systematic Review".

BrainAge of patients with severe late-life depression referred for electroconvulsive therapy

BackgroundSevere depression is associated with accelerated brain aging. BrainAge gap, the difference between predicted and observed BrainAge, was investigated in patients with late-life depression (LLD). We aimed to examine BrainAge gap in LLD and its associations with clinical characteristics indexing LLD chronicity, current severity, prior to electroconvulsive therapy (ECT) and ECT outcome. MethodsData was analyzed from the Mood Disorders in Elderly treated with Electroconvulsive Therapy (MODECT) study. A previously established BrainAge algorithm (BrainAge R by James Cole, (https://github.com/james-cole/brainageR)) was applied to pre-ECT T1-weighted structural MRI-scans of 42 patients who underwent ECT. ResultsA BrainAge gap of 1.8 years (SD = 5.5) was observed, Cohen's d = 0.3. No significant associations between BrainAge gap, number of previous episodes, current episode duration, age of onset, depression severity, psychotic symptoms or ECT outcome were observed. LimitationsLimited sample size. ConclusionsOur initial findings suggest an older BrainAge than chronological age in patients with severe LLD referred for ECT, however with high degree of variability and direction of the gap. No associations were found with clinical measures. Larger samples are needed to better understand brain aging and to evaluate the usability of BrainAge gap as potential biomarker of prognosis an treatment-response in LLD. Trial registrationClinicalTrials.gov identifier: NCT02667353

Polyunsaturated fatty acids changes during electroconvulsive therapy in major depressive disorder

Polyunsaturated fatty acids (PUFAs) have important electrochemical properties and have been implicated in the pathophysiology of major depressive disorder (MDD) and its treatment. However, the relation of PUFAs with electroconvulsive therapy (ECT) has never been investigated. Therefore, we aimed to explore the associations between PUFA concentrations and response to ECT in patients with MDD. We included 45 patients with unipolar MDD in a multicentre study. To determine PUFA concentrations, we collected blood samples at the first (T0) and twelfth (T12) ECT-session. We assessed depression severity using the Hamilton Rating Scale for Depression (HAM-D) at T0, T12 and at the end of the ECT-course. ECT-response was defined as ‘early response’ (at T12), ‘late response’ (after ECT-course) and ‘no’ response (after the ECT-course). The PUFA chain length index (CLI), unsaturation index (UI) and peroxidation index (PI) and three individual PUFAs (eicosapentaenoic acid [EPA], docosahexaenoic acid [DHA] and nervonic acid [NA]) were associated with response to ECT using linear mixed models. Results showed a significant higher CLI in ‘late responders’ compared to ‘non responders’. For NA, ‘late responders’ showed significantly higher concentrations compared to ‘early’- and ‘non responders’. In conclusion, this study provides the first indication that PUFAs are associated with the efficacy of ECT. This indicates that PUFAs' influence on neuronal electrochemical properties and neurogenesis may affect ECT outcomes. Thereby, PUFAs form a potentially modifiable factor predicting ECT outcomes, that warrants further investigation in other ECT-cohorts.

Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression

BackgroundElectroconvulsive therapy is effectively used for treatment-resistant depression; however, its neural mechanism is largely unknown. Resting-state functional magnetic resonance imaging is promising for monitoring outcomes of electroconvulsive therapy for depression. This study aimed to explore the imaging correlates of the electroconvulsive therapy effects on depression using Granger causality analysis and dynamic functional connectivity analyses. MethodsWe performed advanced analyses of resting-state functional magnetic resonance imaging data at the beginning and intermediate stages and end of the therapeutic course to identify neural markers that reflect or predict the therapeutic effects of electroconvulsive therapy on depression. ResultsWe demonstrated that information flow between the functional networks analyzed by Granger causality changes during electroconvulsive therapy, and this change was correlated with the therapeutic outcome. Information flow and the dwell time (an index reflecting the temporal stability of functional connectivity) before electroconvulsive therapy are correlated with depressive symptoms during and after treatment. LimitationsFirst, the sample size was small. A larger group is needed to confirm our findings. Second, the influence of concomitant pharmacotherapy on our results was not fully addressed, although we expected it to be minimal because only minor changes in pharmacotherapy occurred during electroconvulsive therapy. Third, different scanners were used the groups, although the acquisition parameters were the same; a direct comparison between patient and healthy participant data was not possible. Thus, we presented the data of the healthy participants separately from that of the patients as a reference. ConclusionsThese results show the specific properties of functional brain connectivity.

Cerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes

Electroconvulsive therapy (ECT) is the most effective treatment for severe depression and works by applying an electric current through the brain. The applied current generates an electric field (E-field) and seizure activity, changing the brain’s functional organization. The E-field, which is determined by electrode placement (right unilateral or bitemporal) and pulse amplitude (600, 700, or 800 milliamperes), is associated with the ECT response. However, the neural mechanisms underlying the relationship between E-field, functional brain changes, and clinical outcomes of ECT are not well understood. Here, we investigated the relationships between whole-brain E-field (Ebrain, the 90th percentile of E-field magnitude in the brain), cerebro-cerebellar functional network connectivity (FNC), and clinical outcomes (cognitive performance and depression severity). A fully automated independent component analysis framework determined the FNC between the cerebro-cerebellar networks. We found a linear relationship between Ebrain and cognitive outcomes. The mediation analysis showed that the cerebellum to middle occipital gyrus (MOG)/posterior cingulate cortex (PCC) FNC mediated the effects of Ebrain on cognitive performance. In addition, there is a mediation effect through the cerebellum to parietal lobule FNC between Ebrain and antidepressant outcomes. The pair-wise t-tests further demonstrated that a larger Ebrain was associated with increased FNC between cerebellum and MOG and decreased FNC between cerebellum and PCC, which were linked with decreased cognitive performance. This study implies that an optimal E-field balancing the antidepressant and cognitive outcomes should be considered in relation to cerebro-cerebellar functional neuroplasticity.

Association Between Polygenic Risk Scores and Outcome of ECT.

Identifying biomarkers associated with response to electroconvulsive therapy (ECT) may aid clinical decisions. The authors examined whether greater polygenic liabilities for major depressive disorder, bipolar disorder, and schizophrenia are associated with improvement following ECT for a major depressive episode. Between 2013 and 2017, patients who had at least one treatment series recorded in the Swedish National Quality Register for ECT were invited to provide a blood sample for genotyping. The present study included 2,320 participants (median age, 51 years; 62.8% women) who had received an ECT series for a major depressive episode (77.1% unipolar depression), who had a registered treatment outcome, and whose polygenic risk scores (PRSs) could be calculated. Ordinal logistic regression was used to estimate the effect of PRS on Clinical Global Impressions improvement scale (CGI-I) score after each ECT series. Greater PRS for major depressive disorder was significantly associated with less improvement on the CGI-I (odds ratio per standard deviation, 0.89, 95% CI=0.82, 0.96; R2=0.004), and greater PRS for bipolar disorder was associated with greater improvement on the CGI-I (odds ratio per standard deviation, 1.14, 95% CI=1.05, 1.23; R2=0.005) after ECT. PRS for schizophrenia was not associated with improvement. In an overlapping sample (N=1,207) with data on response and remission derived from the self-rated version of the Montgomery-Åsberg Depression Rating Scale, results were similar except that schizophrenia PRS was also associated with remission. Improvement after ECT is associated with polygenic liability for major depressive disorder and bipolar disorder, providing evidence of a genetic component for ECT clinical response. These liabilities may be considered along with clinical predictors in future prediction models of ECT outcomes.