Investigating network effects of DBS with fMRI

Jech, Robert; Mueller, Karsten

doi:10.1016/B978-0-12-821861-7.00026-9

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Investigating network effects of DBS with fMRI

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Mueller, Karsten
Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Methods and Development Group Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Jech, R., & Mueller, K. (2022). Investigating network effects of DBS with fMRI. In A. Horn (Ed.), Connectomic Deep Brain Stimulation (pp. 275-301). Academic Press. doi:10.1016/B978-0-12-821861-7.00026-9.

Cite as: https://hdl.handle.net/21.11116/0000-0008-E476-2

Abstract

The exact mechanisms of the central effects of deep brain stimulation (DBS) are still unknown. With the development of MR-compatible DBS systems, there are new opportunities to explore their impact on the functioning of local and remote networks using fMRI at rest or when performing various tasks. Current knowledge comes mainly from DBS of the subthalamic nucleus (STN)—the most common target in Parkinson’s disease. While initial studies on effective STN DBS reported changes mainly in local activity patterns, later studies described changes in large-scale networks, and the results are only partially consistent with the classical basal ganglia model. Previously published results still suffer from great variability and a low number of subjects. However, the goals are ambitious. Initial results suggest that fMRI may help select suitable patients for DBS, predict future effects, set optimal stimulation parameters, or even search for new promising targets.