Balancing the brain: resting state networks and deep brain stimulation

Area of Science:

• Neuroscience
• Neurology
• Medical Engineering

Background:

• Deep brain stimulation (DBS) has aided patients with treatment-resistant disorders for 30 years.
• The precise neural mechanisms underlying DBS efficacy remain incompletely understood.
• A prior hypothesis suggests DBS restores balance within the brain's resting state networks.

Purpose of the Study:

• To review how investigating brain networks enhances understanding of DBS mechanisms.
• To explore novel DBS targets within functional and structural brain networks.
• To consider the ethical implications of advancing DBS technology.

Main Methods:

• Review of existing literature on functional and structural brain networks.
• Analysis of network coherence in healthy individuals and in diseases like Parkinson's.
• Identification of potential network hubs and connectors as DBS targets.

Main Results:

• Detailed network investigations offer insights into fundamental brain function.
• Newly identified network hubs and connectors present potential targets for DBS.
• The findings support the hypothesis that DBS modulates network balance.

Conclusions:

• Understanding brain networks is crucial for optimizing DBS efficacy.
• Novel network targets may expand DBS applications to neuropsychiatric disorders.
• Ethical considerations are paramount as DBS technology advances.