Classification of pallidal oscillations with increasing parkinsonian severity

Allison T. Connolly, Alicia L. Jensen, Kenneth B. Baker, Jerrold L. Vitek, Matthew D. Johnson
2015 Journal of Neurophysiology  
The firing patterns of neurons in the basal ganglia are known to become more oscillatory and synchronized from healthy to parkinsonian conditions. Similar changes have been observed with local field potentials (LFPs). In this study, we used an unbiased machine learning approach to investigate the utility of pallidal LFPs for discriminating the stages of a progressive parkinsonian model. A feature selection algorithm was used to identify subsets of LFP features that provided the most
more » ... ry information for severity of parkinsonian motor signs. Prediction errors Ͻ20% were achievable using 28 of the possible 206 features tested. For all subjects, a spectral feature within the beta band was chosen through the feature selection algorithm, but a combination of features, including alpha-band power and phase-amplitude coupling, was necessary to achieve minimal prediction errors. There was large variability between the discriminatory features for individual subjects, and testing of classifiers between subjects yielded prediction errors Ͼ50%. These results suggest that pallidal oscillations can be predictive biomarkers of parkinsonian severity, but the features are more complex than spectral power in individual frequency bands, such as the beta band. Additionally, the best feature set was subject specific, which highlights the pathophysiological heterogeneity of parkinsonism and the importance of subject specificity when designing closedloop system controllers dependent on such features. JR. State-dependent spike and local field synchronization between motor cortex and substantia nigra in hemiparkinsonian rats. J Neurosci 32: 7869 -7880, 2012. Bronte-Stewart H, Barberini C, Koop MM, Hill BC, Henderson JM, Wingeier B. The STN beta-band profile in Parkinson's disease is stationary and shows prolonged attenuation after deep brain stimulation. Exp Neurol 215: 20 -28, 2009. Brown P. Abnormal oscillatory synchronisation in the motor system leads to impaired movement. Curr Opin Neurobiol 17: 656 -664, 2007. Brown P, Mazzone P, Oliviero A, Altibrandi MG, Pilato F, Tonali PA, Di Lazzaro V. Effects of stimulation of the subthalamic area on oscillatory pallidal activity in Parkinson's disease. Exp Neurol 188: 480 -490, 2004. Buzsaki G, Anastassiou CA, Koch C. The origin of extracellular fields and currents-EEG, ECoG, LFP and spikes. Nat Rev 13: 407-420, 2012. Cherubini A, Morelli M, Nistico R, Salsone M, Arabia G, Vasta R, Augimeri A, Caligiuri ME, Quattrone A. Magnetic resonance support vector machine discriminates between Parkinson disease and progressive supranuclear palsy. Mov Disord 29: 266 -269, 2014. Connolly AT, Jensen AL, Bello EM, Netoff TI, Baker KB, Johnson MD, Vitek JL. Modulations in oscillatory frequency and coupling in globus pallidus with increasing parkinsonian severity. J Neurosci 35: 6231-6240, 2015.
doi:10.1152/jn.00840.2014 pmid:25878156 pmcid:PMC4507953 fatcat:sw444cq3pbfj5olb4nxkgyzwvq