Selective modulation of brain network dynamics by seizure therapy in treatment-resistant depression
| Autor: | Sylvain Moreno, Faranak Farzan, Sravya Atluri, Daniel M. Blumberger, Willy Wong, Zafiris J. Daskalakis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
BL Bitemporal brief pulse medicine.medical_treatment Network dynamics Electroencephalography lcsh:RC346-429 0302 clinical medicine Electroconvulsive therapy BDI Beck's depression inventory Electroconvulsive Therapy Magnetic seizure therapy medicine.diagnostic_test Depression Brain EEG Electroencephalogram MoCA Montreal cognitive assessment Regular Article Middle Aged Transcranial Magnetic Stimulation Treatment Outcome Neurology lcsh:R858-859.7 Female Treatment-resistant depression medicine.symptom Adult TRD Treatment-resistant depression Cognitive Neuroscience HRSD Hamilton rating scale for depression lcsh:Computer applications to medicine. Medical informatics ECT Electroconvulsive therapy 03 medical and health sciences fMRI Functional magnetic resonance imaging Neuroimaging Ministate Seizures SSI Scale for suicidal ideation RUL-UB Right unilateral ultra-brief medicine Humans Radiology Nuclear Medicine and imaging lcsh:Neurology. Diseases of the nervous system Microstate analysis business.industry AUC Area under the curve medicine.disease 030227 psychiatry MADRS Montgomery-asberg depression rating scale Mechanism of action ROC Receiver operating characteristic curve Neurology (clinical) MST Magnetic seizure therapy business Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage: Clinical, Vol 20, Iss, Pp 1176-1190 (2018) NeuroImage : Clinical |
| ISSN: | 2213-1582 |
| Popis: | Background Electroconvulsive therapy (ECT) is highly effective for treatment-resistant depression, yet its mechanism of action is still unclear. Understanding the mechanism of action of ECT can advance the optimization of magnetic seizure therapy (MST) towards higher efficacy and less cognitive impairment. Given the neuroimaging evidence for disrupted resting-state network dynamics in depression, we investigated whether seizure therapy (ECT and MST) selectively modifies brain network dynamics for therapeutic efficacy. Methods EEG microstate analysis was used to evaluate resting-state network dynamics in patients at baseline and following seizure therapy, and in healthy controls. Microstate analysis defined four classes of brain states (labelled A, B, C, D). Source localization identified the brain regions associated with these states. Results An increase in duration and decrease in frequency of microstates was specific to responders of seizure therapy. Significant changes in the dynamics of States A, C and D were observed and predicted seizure therapy outcome (specifically ECT). Relative change in the duration of States C and D was shown to be a strong predictor of ECT response. Source localization partly associated C and D to the salience and frontoparietal networks, argued to be impaired in depression. An increase in duration and decrease in frequency of microstates was also observed following MST, however it was not specific to responders. Conclusion This study presents the first evidence for the modulation of global brain network dynamics by seizure therapy. Successful seizure therapy was shown to selectively modulate network dynamics for therapeutic efficacy. Highlights • The (electric or magnetic) induction of seizures is effective for severe depression but its mechanism of action is unclear. • We investigated whether the modulation of brain network dynamics underlies the therapeutic efficacy of seizure therapy. • Global brain-network dynamics were studied using EEG microstate analysis. • Significant changes in microstate characteristics were specific to responders of electroconvulsive therapy (ECT). • Relative change in the duration of microstates C and D was shown to be a strong predictor of response to ECT. |
| Databáze: | OpenAIRE |
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