Functional localization and visualization of the subthalamic nucleus from microelectrode recordings acquired during DBS surgery with unsupervised machine learning.

Microelectrode recordings are a useful adjunctive method for subthalamic nucleus localization during deep brain stimulation surgery for Parkinson's disease. Attempts to quantitate and standardize this process, using single computational measures of neural activity, have been limited by variability in patient neurophysiology and recording conditions. Investigators have suggested that a multi-feature approach may be necessary for automated approaches to perform within acceptable clinical standards. We present a novel data visualization algorithm and several unique features that address these shortcomings. The algorithm extracts multiple computational features from the microelectrode neurophysiology and integrates them with tools from unsupervised machine learning. The resulting colour-coded map of neural activity reveals activity transitions that correspond to the anatomic boundaries of subcortical structures. Using these maps, a non-neurophysiologist is able to achieve sensitivities of 90% and 95% for STN entry and exit, respectively, to within 0.5 mm accuracy of the current gold standard. The accuracy of this technique is attributed to the multi-feature approach. This activity map can simplify and standardize the process of localizing the subthalamic nucleus (STN) for neurostimulation. Because this method does not require a stationary electrode for careful recording of unit activity for spike sorting, the length of the operation may be shortened.

High-frequency oscillations (>200 Hz) in the human non-parkinsonian subthalamic nucleus.

The human basal ganglia, and in particular the subthalamic nucleus (STN), can oscillate at surprisingly high frequencies, around 300 Hz [G. Foffani, A. Priori, M. Egidi, P. Rampini, F. Tamma, E. Caputo, K.A. Moxon, S. Cerutti, S. Barbieri, 300-Hz subthalamic oscillations in Parkinson's disease, Brain 126 (2003) 2153-2163]. It has been proposed that these oscillations could contribute to the mechanisms of action of deep brain stimulation (DBS) [G. Foffani, A. Priori, Deep brain stimulation in Parkinson's disease can mimic the 300 Hz subthalamic rhythm, Brain 129 (2006) E59]. However, the physiological role of high-frequency STN oscillations is questionable, because they have been observed only in patients with advanced Parkinson's disease and could therefore be secondary to the dopamine-depleted parkinsonian state. Here, we report high-frequency STN oscillations in the range of the 300-Hz rhythm during intraoperative microrecordings for DBS in an awake patient with focal dystonia as well as in a patient with essential tremor (ET). High-frequency STN oscillations are therefore not exclusively related to parkinsonian pathophysiology, but may represent a broader feature of human STN function.