Subthalamic span of beta oscillations predicts deep brain stimulation efficacy for patients with Parkinson's disease.
The significance of oscillations that characterize the subthalamic nucleus in Parkinson's disease is still under debate. Here, we analysed the spectral and spatial characteristics of 314 microelectrode trajectories from 128 patients undergoing subthalamic nucleus deep brain stimulation surgery for Parkinson's disease. We correlated the subthalamic nucleus pathophysiology with the outcome of surgery, as evaluated by the third section of the Unified Parkinson's Disease Rating Scale (motor score), which was subdivided into tremor, rigidity, limb-bradykinesia and axial-bradykinesia subscores. beta-oscillatory activity (13-30 Hz) comprised a continuous stretch within the subthalamic nucleus, and was limited to a distinctly-bounded dorsolateral oscillatory region. Although less consistent and more sporadic, low-frequency (3-7 Hz) power was also increased in the dorsolateral oscillatory region. In contrast, the more ventral subthalamic nucleus was characterized by consistently reduced beta and increased gamma (30-100 Hz) activity. Neuronal responses to passive arm movement (analysed by their alignment to goniometer tracing of the joints' angular displacement) were significantly more common in the dorsolateral oscillatory region than the ventral subthalamic nucleus region (62 versus 25% of sites tested respectively, P<0.01). The length of the dorsolateral oscillatory region recorded in the macroelectrode-implanted trajectory predicted a favourable response to subthalamic nucleus deep brain stimulation (R=0.67, P<0.0001). This correlation was also evident for improvement in the specific symptom subscores of rigidity, limb-bradykinesia and axial-bradykinesia (P<0.05). Similarly, increased subthalamic nucleus beta power was associated with postoperative improvement. In contrast, the preoperative response to levodopa did not correlate with dorsolateral oscillatory region length (P=0.33), however, it did tend to be associated with increased beta (and decreased low frequency) subthalamic nucleus power. Finally, the active macroelectrode contact, independently selected by optimal clinical outcome, coincided with the dorsolateral oscillatory region centre. On average, the location of the active contact was not significantly different from the dorsolateral oscillatory region centre (P=0.10), but was significantly different from the subthalamic nucleus centre (P<0.0001). We conclude that the spatial extent of the dorsolateral oscillatory region, which overlaps the motor territories of the subthalamic nucleus, predicts the outcome of subthalamic nucleus deep brain stimulation. Thus the frequency and spatial characteristics of the subthalamic nucleus trajectory may be used for deep brain stimulation outcome optimization.
Zaidel
Adam
A
The Interdisciplinary Centre for Neural Computation, The Hebrew University of Jerusalem, and Centre for Functional & Restorative Neurosurgery, Department of Neurosurgery, Hadassah University Hospital, P.O. Box 12272, Jerusalem 91120, Israel. adam@alice.nc.huji.ac.il
Spivak
Alexander
A
Grieb
Benjamin
B
Bergman
Hagai
H
Israel
Zvi
Z
D001611:Beta Rhythm / Q000379:methods; D046690:Deep Brain Stimulation / Q000379:methods; D006801:Humans; D010300:Parkinson Disease / Q000503:physiopathology / Q000628:therapy*; D011237:Predictive Value of Tests; D020531:Subthalamic Nucleus / Q000502:physiology*; D016896:Treatment Outcome