Objective Major depressive disorder is a frequent and disabling disease and can be treated with antidepressant drugs. When faced with severe or resistant major depressive disorder, however, psychiatrists may resort to electroconvulsive therapy (ECT). Although very effective, the response falls short of 100%. A recent meta-analysis established clinical and biological predictive factors of the response to ECT. We decided to explore neuroimaging biomarkers that could be predictors of the ECT response. Methods We performed a systematic literature review up to January 1, 2018, using a Boolean combination of MeSH terms. We included 19 studies matching our inclusion criteria. Results Lower hippocampal, increased amygdala, and subgenual cingulate gyrus volumes were predictive for a better ECT response. Functional magnetic resonance imaging also found that the connectivity between the dorsolateral prefrontal cortex and posterior default-mode network is predictive of increased efficacy. Conversely, deep white matter hyperintensities in basal ganglia and Virchow-Robin spaces, medial temporal atrophy, ratio of left superior frontal to left rostral middle frontal cortical thickness, cingulate isthmus thickness asymmetry, and a wide range of gray and white matter anomalies were predictive for a poorer response. Conclusions Our review addresses the positive or negative predictive value of neuroimaging biomarkers for the ECT response, indispensable in a personalized medicine dynamic. These data could reduce the risk of nonresponders or resistance with earlier effective management. It might also help researchers elucidate the complex pathophysiology of depressive disorders and the functioning of ECT.
MEDigi is a nationwide Finnish project that aims to develop and implement digital teaching, learning and assessment solutions and to provide possibilities for national harmonization of undergraduate medical and dental education in Finland. The MEDigi project will investigate the options and feasibility of a common national digital online platform and produce digital content and solutions for medical education. Furthermore, tools and support system for digital pedagogy training will be created to ensure that the teaching staff will achieve and retain appropriate digipedagogical skills. The project aims also to increase the competence related to the digital tools used in clinical practice (eHealth, digital health) of physicians and dentists. Furthermore, academic research will be carried out on various aspects of the project. All the universities in Finland that offer the Licentiate Degree in Medicine and Dentist programmes are involved: Universities of Eastern Finland, Helsinki, Oulu, Tampere and Turku. The project is coordinated by the University of Oulu. The project is carried out in close collaboration with the Finnish Medical Society Duodecim and the Finnish Dental Society Apollonia. The project lifespan is until the end of May 2021. MEDigi project is financed by the Finnish Ministry of Culture and Education and its total budget is over 4 million euros.
ObjectivesElectroconvulsive therapy (ECT) is a safe and validated technique used to treat various psychiatric conditions. It triggers an artificially-induced seizure. This seizure is defined using several parameters such as the amount of energy, duration, frequency, pulse width and intensity. Efficacy and adverse events depend on the amount of energy delivered. Due to technical control, the amount of energy delivered by our unit’s ECT device was limited to 614 mC, 60% of the maximum possible output of the device. We wondered if lowering the dose would lead to better seizure quality among maintenance ECT patients.MethodsWe assessed seizure quality based on the EEG, using a validated tool created by MacPherson. Two evaluators independently rated the seizures. Pre- and post-control scores were compared using Student’s t-test for paired samples.ResultsWe analysed data from 15 patients. Mean age was 65 years old. Twelve had depressive disorder, two had schizophrenia and one had schizo-affective disorder. Mean duration of seizure before control was 41.1 s [95% confidence interval (95CI)=26.1, 51.1]. The mean MacPherson’s score was 20.3 (95CI=16.2, 24.4). After control, the mean MacPherson’s score was 28.2 (23.1, 33.3), showing a significant difference with the pre-control dataset (p=0.032; t=−2.4; df=14). Specifically, peak mid-ictal amplitude increased from 6.9 (95CI=5.1, 8.7) to 10.0 (95CI=7.2, 12.8). Other sub-scores remained unchanged.ConclusionLowering the energy delivered led to an overall increase of seizure quality among our sample. This highlights the necessity and utility of retitration during ECT maintenance, possibly leading to better management of our patients.
Introduction: Treatment-resistant depression (TRD) is a disabling psychiatric condition characterized by the failure of two antidepressants (ADs). Since the occurrence of side effects (SEs) appears to be one of the main determinants of early discontinuation of pharmacological treatments contributing to a pseudo-resistance, the purpose of this study was to determine the parameters associated with the occurrence of SEs under ADs in a cohort of patients with TRD.Methods: An observational, cross-sectional, multicentre study was carried out using data from the French network of Expert Centers for TRD. For the 108 patients enrolled in the study, the statistical analyses focused on the overall occurrence and on the profile of the SEs (9 categories, 32 items).Results: SEs were influenced by age and sex and were positively associated with the intensity of anxious, depressive and suicidal symptoms, a history of childhood trauma (sexual abuse, emotional abuse and neglect), and negatively associated with self-esteem, and assessment of overall functioning.Conclusion: Using variables accessible in common practice, these results fall within the dynamic of a more tailored approach to medicine that could allow, through integrated pharmacological management, the continuation of antidepressant treatments, and therefore limit the risk of therapeutic failure.
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