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Functional brain network features specify DBS outcome for patients with treatment resistant depression by Amir Hossein Ghaderi; Elliot C. Brown; Darren Laree Clark; Rajamannar Ramasubbu; Zelma H. T. Kiss; Andrea B. Protzner is a Neuroscience article available to read on EtoBox.
What is Functional brain network features specify DBS outcome for patients with treatment resistant depression about?
Deep brain stimulation (DBS) has shown therapeutic benefits for treatment resistant depression (TRD). Stimulation of the subcallosal cingulate gyrus (SCG) aims to alter dysregulation between subcortical and cortex. However, the 50% response rates for SCG-DBS indicates that selection of appropriate patients is challenging. Since stimulation influences large-scale network function, we hypothesized that network features can be used as biomarkers to inform outcome. In this pilot project, we used resting-state EEG recorded longitudinally from 10 TRD patients with SCG-DBS (11 at baseline). EEGs were recorded before DBS-surgery, 1-3 months, and 6 months post surgery. We used graph theoretical analysis to calculate clustering coefficient, global efficiency, eigenvector centrality, energy, and entropy of source-localized EEG networks to determine their topological/dynamical features. Patients were classified as responders based on achieving a 50% or greater reduction in Hamilton Depression (HAM-D) scores from baseline to 12 months post surgery. In the delta band, false discovery rate analysis revealed that global brain network features (segregation, integration, synchronization, and complex
Who reads Functional brain network features specify DBS outcome for patients with treatment resistant depression?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- Amir Hossein Ghaderi; Elliot C. Brown; Darren Laree Clark; Rajamannar Ramasubbu; Zelma H. T. Kiss; Andrea B. Protzner
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Neuroscience (Life Sciences)