Artificial Intelligence in Deep Brain Stimulation
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 3205
Special Issue Editors
Interests: deep brain stimulation; movement disorders; Parkinson’s disease; essential tremor; connectomics; neuroimaging; artificial intelligence; machine learning
Special Issue Information
Dear Colleagues,
The use of deep brain stimulation (DBS) for a variety of neurological and psychiatric disorders is one of the most important advances in clinical neuroscience over the past two decades. DBS enables neuroscientists to obtain direct measures of neuronal activities, interrogate the function of neural circuits, and investigate the therapeutic potential of modulating these circuits with unprecedented spatial and temporal precision. Concurrently, artificial intelligence (AI), especially machine learning, has been increasingly and successfully used in a wide range of healthcare contexts, including DBS. AI methods enable the interpretation of large multimodal datasets and can help to inform DBS candidate selection, surgical targeting, programming optimization, and DBS mechanisms, potentially paving the way for precision neuromodulation. As more data become available and computational power continues to increase, opportunities for the application of AI in DBS are expected to skyrocket.
This Special Issue of Biomedicines, “Artificial Intelligence in Deep Brain Stimulation”, will mainly focus on the recent advances in the application of AI in DBS to contextualize the current body of research and discuss potential future directions. We cordially invite authors to submit original research or review articles pertaining to this important and fast-growing field. The goal is to stimulate research and clinical interests in this exciting field of biomedicine with the hope of developing strategies to integrate artificial intelligence for precision neuromodulation therapy.
Dr. Joshua Wong
Dr. Jun Yu
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep brain stimulation
- neuromodulation
