Deep brain stimulation of the subthalamic nucleus for Parkinson's disease: A network imaging marker of the treatment response.
Prashin UnadkatAn VoYilong MaShichun PengNha NguyenMartin NiethammerChris C TangVijay DhawanRitesh RamdhaniAlbert FenoySilvia Paola CaminitiDaniela PeraniDavid EidelbergPublished in: Research square (2024)
Subthalamic nucleus deep brain stimulation (STN-DBS) alleviates motor symptoms of Parkinson's disease (PD), thereby improving quality of life. However, quantitative brain markers to evaluate DBS responses and select suitable patients for surgery are lacking. Here, we used metabolic brain imaging to identify a reproducible STN-DBS network for which individual expression levels increased with stimulation in proportion to motor benefit. Of note, measurements of network expression from metabolic and BOLD imaging obtained preoperatively predicted motor outcomes determined after DBS surgery. Based on these findings, we computed network expression in 175 PD patients, with time from diagnosis ranging from 0 to 21 years, and used the resulting data to predict the outcome of a potential STN-DBS procedure. While minimal benefit was predicted for patients with early disease, the proportion of potential responders increased after 4 years. Clinically meaningful improvement with stimulation was predicted in 18.9 - 27.3% of patients depending on disease duration.
Keyphrases
- deep brain stimulation
- parkinson disease
- obsessive compulsive disorder
- high resolution
- end stage renal disease
- poor prognosis
- minimally invasive
- newly diagnosed
- ejection fraction
- chronic kidney disease
- type diabetes
- white matter
- multiple sclerosis
- binding protein
- depressive symptoms
- risk assessment
- long non coding rna
- coronary artery disease
- magnetic resonance
- electronic health record
- computed tomography
- mouse model
- patient reported outcomes
- adipose tissue
- magnetic resonance imaging
- photodynamic therapy