Development and validation of a multimodal neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis.

BACKGROUND: Electroconvulsive therapy (ECT) is the most effective intervention for patients with treatment resistant depression. A clinical decision support tool could guide patient selection to improve the overall response rate and avoid ineffective treatments with adverse effects. Initial small-scale, monocenter studies indicate that both structural magnetic resonance imaging (sMRI) and functional MRI (fMRI) biomarkers may predict ECT outcome, but it is not known whether those results can generalize to data from other centers. The objective of this study was to develop and validate neuroimaging biomarkers for ECT outcome in a multicenter setting. METHODS: Multimodal data (i.e. clinical, sMRI and resting-state fMRI) were collected from seven centers of the Global ECT-MRI Research Collaboration (GEMRIC). We used data from 189 depressed patients to evaluate which data modalities or combinations thereof could provide the best predictions for treatment remission (HAM-D score ⩽7) using a support vector machine classifier. RESULTS: Remission classification using a combination of gray matter volume and functional connectivity led to good performing models with average 0.82-0.83 area under the curve (AUC) when trained and tested on samples coming from the three largest centers (N = 109), and remained acceptable when validated using leave-one-site-out cross-validation (0.70-0.73 AUC). CONCLUSIONS: These results show that multimodal neuroimaging data can be used to predict remission with ECT for individual patients across different treatment centers, despite significant variability in clinical characteristics across centers. Future development of a clinical decision support tool applying these biomarkers may be feasible.

[IV esketamine for patients with a treatment-resistant depression]. / Intraveneuze esketamine als redmiddel bij depressie.

We present three patients off-label treated with intravenous (IV) esketamine for treatment-resistant depression (TRD) of whom two (patients A and B, aged 72 and 77 years, respectively) were admitted to the psychiatric unit with depressive symptoms and one outpatient (patient C, aged 66 years). After six esketamine treatments over a period of three weeks, two patients showed improvement, as measured with the Hamilton Rating Scale for Depression (HRSD): the HRSD-score of patient A decreased from 36 to 9 and of patient C from 18 to 10. Patient B had no response to esketamine but was treated successfully with electroconvulsive therapy (ECT). Despite the presence of various somatic comorbidities, esketamine treatment appeared safe and well-tolerated by the patients. After the index treatment, patients A and C received maintenance treatment with esketamine (once every 4-6 weeks). We recommend to consider off-label IV esketamine treatment in patients suffering TRD with or without suicidality.

Effective resting-state connectivity in severe unipolar depression before and after electroconvulsive therapy.

BACKGROUND: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depressive disorders. A recent multi-center study found no consistent changes in correlation-based (undirected) resting-state connectivity after ECT. Effective (directed) connectivity may provide more insight into the working mechanism of ECT. OBJECTIVE: We investigated whether there are consistent changes in effective resting-state connectivity. METHODS: This multi-center study included data from 189 patients suffering from severe unipolar depression and 59 healthy control participants. Longitudinal data were available for 81 patients and 24 healthy controls. We used dynamic causal modeling for resting-state functional magnetic resonance imaging to determine effective connectivity in the default mode, salience and central executive networks before and after a course of ECT. Bayesian general linear models were used to examine differences in baseline and longitudinal effective connectivity effects associated with ECT and its effectiveness. RESULTS: Compared to controls, depressed patients showed many differences in effective connectivity at baseline, which varied according to the presence of psychotic features and later treatment outcome. Additionally, effective connectivity changed after ECT, which was related to ECT effectiveness. Notably, treatment effectiveness was associated with decreasing and increasing effective connectivity from the posterior default mode network to the left and right insula, respectively. No effects were found using correlation-based (undirected) connectivity. CONCLUSIONS: A beneficial response to ECT may depend on how brain regions influence each other in networks important for emotion and cognition. These findings further elucidate the working mechanisms of ECT and may provide directions for future non-invasive brain stimulation research.

[Consider (es)ketamine for treatment-resistant depression]. / Overweeg (es)ketamine bij therapieresistente depressie.

Major depressive disorder has a high prevalence globally. Although pharmacotherapy and psychotherapy are effective for most patients, about one third is treatment resistant. Ketamine, known as an anesthetic, is a new treatment option that can be effective in patients with treatment-resistant depression. (es)ketamine works relatively fast. However, the long-term effects are still relatively unknown. In the Netherlands, S-Ketamine is currently administered in various forms, of which only the nasal spray is registered for treatment-resistant depression. Currently, many studies have been conducted on the use of (es)ketamine. In this article we describe the latest state of affairs regarding its effectiveness and safety.

Substance use, Unlike Dolutegravir, is Associated with Mood Symptoms in People Living with HIV.

Contradictory data have been reported concerning neuropsychiatric side effects of the first-line antiretroviral drug dolutegravir, which may be partly due to lack of control groups or psychiatric assessment tools. Using validated self-report questionnaires, we compared mood and anxiety (DASS-42), impulsivity (BIS-11), and substance use (MATE-Q) between dolutegravir-treated and dolutegravir-naive people living with HIV (PLHIV). We analyzed 194, mostly male, PLHIV on long-term treatment of whom 82/194 (42.3%) used dolutegravir for a median (IQR) of 280 (258) days. Overall, 51/194 (26.3%) participants reported DASS-42 scores above the normal cut-off, 27/194 (13.5%) were classified as highly impulsive, and 58/194 (29.9%) regularly used recreational drugs. Regular substance use was positively associated with depression (p = 0.012) and stress scores (p = 0.045). We observed no differences between dolutegravir-treated and dolutegravir-naive PLHIV. Our data show that depressed and anxious moods and impulsivity are common in PLHIV and associate with substance use and not with dolutegravir use.