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F.1 Oscillatory network markers of subcallosal cingulate deep brain stimulation for depression

Published online by Cambridge University Press:  24 May 2024

IE Harmsen
Affiliation:
(Edmonton)*
M Scherer
Affiliation:
(Toronto)
N Samuel
Affiliation:
(Toronto)
GJ Elias
Affiliation:
(Toronto)
J Germann
Affiliation:
(Toronto)
A Boutet
Affiliation:
(Toronto)
P Giacobbe
Affiliation:
(Toronto)
NC Rowland
Affiliation:
(Charleston)
L Milosevic
Affiliation:
(Toronto)
AM Lozano
Affiliation:
(Toronto)
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Abstract

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Background: Identifying functional biomarkers related to treatment success can aid in optimizing therapy and provide a better understanding of the neural mechanisms of treatment-resistant depression (TRD) and subcallosal cingulate deep brain stimulation (SCC-DBS). Methods: Magnetoencephalography data were obtained from 16 individuals with SCC-DBS for TRD and 25 healthy subjects. We identified region-specific oscillatory modulations that both (i) discriminate individuals with TRD (SCC-DBS OFF) from healthy controls and (ii) discriminate responders from non-responders (SCC-DBS ON). The effects of stimulation intensity and frequency were also explored. Results: Discriminative regions that differentiated responders from non-responders based on modulations of increased alpha (8-12 Hz) and decreased gamma (32-116 Hz) power included nodes of the default mode, central executive, and somatomotor networks, Broca’s area, and lingual gyrus. Furthermore, low stimulation frequency had stronger effects on oscillatory modulation. Conclusions: The identified functional biomarkers implicate modulations of TRD-related activity in brain regions involved in emotional control/processing, motor control, and interactions between speech, vision, and memory – all implicated in depression. These electrophysiological biomarkers have the potential to be used as functional proxies for therapy optimization. Additional stimulation parameter analyses revealed that oscillatory modulations are strengthened by increasing stimulation intensity or reducing frequency, which may benefit SCC-DBS non-responders.

Type
Abstracts
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation