About this Research Topic
Neuromodulation, particularly through techniques like deep brain stimulation (DBS), represents a significant advancement in treating brain disorders, benefiting an estimated 150,000 individuals to date. Traditionally focused on the local effects of stimulation, recent shifts in the field are extending this focus to encompass the broad network effects on interconnected brain regions. This expanded perspective is crucial for understanding the neuromodulatory impact on the broader brain network, potentially affecting mood, cognition, and motor functions across various psychoneurological conditions.
This Research Topic aims to advance our understanding and application of neuromodulation by employing novel brain network analytical methods to investigate the connectomic changes resulting from interventions such as DBS, sEEG, rTMS, rDCS, and VNS. By leveraging techniques like diffusion/functional MRI or EEG, this research seeks to delineate and quantify the specific brain network signatures that correlate with neuromodulation and symptom improvement. The ultimate goal is to enhance clinical outcomes through personalized neuromodulation therapies and refined integration of neuromodulation targets and modalities.
To further explore this emerging field, we invite contributions focused on, but not limited to, the following topics:
- Employing connectomics to elucidate and forecast clinical improvements in neuropsychological disorders including Parkinson’s disease, autism, and major depression.
- Exploring the relationships between different neuromodulation targets within the same network or identifying networks specific to particular symptoms.
- Investigating networks implicated in side effects following neuromodulation.
- Applying connectomics to inform DBS programming and optimize neurosurgical approaches.
- Identifying and mapping the dysfunctome across diverse brain disorders to target specific brain circuits.
- Bridging the gap between invasive and noninvasive neuromodulation techniques by comparing shared neural circuits or networks.
This Research Topic aims to advance our understanding and application of neuromodulation by employing novel brain network analytical methods to investigate the connectomic changes resulting from interventions such as DBS, sEEG, rTMS, rDCS, and VNS. By leveraging techniques like diffusion/functional MRI or EEG, this research seeks to delineate and quantify the specific brain network signatures that correlate with neuromodulation and symptom improvement. The ultimate goal is to enhance clinical outcomes through personalized neuromodulation therapies and refined integration of neuromodulation targets and modalities.
To further explore this emerging field, we invite contributions focused on, but not limited to, the following topics:
- Employing connectomics to elucidate and forecast clinical improvements in neuropsychological disorders including Parkinson’s disease, autism, and major depression.
- Exploring the relationships between different neuromodulation targets within the same network or identifying networks specific to particular symptoms.
- Investigating networks implicated in side effects following neuromodulation.
- Applying connectomics to inform DBS programming and optimize neurosurgical approaches.
- Identifying and mapping the dysfunctome across diverse brain disorders to target specific brain circuits.
- Bridging the gap between invasive and noninvasive neuromodulation techniques by comparing shared neural circuits or networks.
Keywords: connectomic neuromodulation, dysfunctome, circuit therapy, disconnection, symptom specific networks
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
