A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation
Year: 2021
Type: article
Abstract: Deep brain stimulation (DBS) has emerged as a promising therapy for neuropsychiatric illnesses, including depression and obsessive-compulsive disorder, but has shown inconsistent results in prior clinical trials. We propose a shift away from the empirical paradigm for developing new DBS applications, traditionally based on testing brain targets with conventional stimulation paradigms. Instead, we propose a multimodal approach centered on an individualized intracranial investigation adapted from the epilepsy monitoring experience, which integrates comprehensive behavioral assessment, such as the Research Domain Criteria proposed by the National Institutes of Mental Health. In this paradigm-shifting approach, we combine readouts obtained from neurophysiology, behavioral assessments, and self-report during broad exploration of stimulation parameters and behavioral tasks to inform the selection of ideal DBS parameters. Such an approach not only provides a foundational understanding of dysfunctional circuits underlying symptom domains in neuropsychiatric conditions but also aims to identify generalizable principles that can ultimately enable individualization and optimization of therapy without intracranial monitoring.
Source: Neurosurgery
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,269
Awards: G1304751704, G212156704, Novel Strategies for Mapping the Emotional Neural Circuitry Using Human Brain Stimulation, Brain Science Compute Cluster, The human amygdala in social processing: circuits, physiology, behavior, and neuromodulation, Deep Brain Stimulation for Depression Using Directional Current Steering and Individualized Network Targeting
OpenAlex ID: W3158100970
