Advanced target identification in STN-DBS with beta power of combined local field potentials and spiking activity
| Autor: | Peter H. Veltink, P. Richard Schuurman, Evita C Wiegers, Tjitske Heida, Rens Verhagen, Rob M.A. de Bie, Daphne G.M. Zwartjes, L.J. Bour, M. Fiorella Contarino, Pepijn van den Munckhof |
|---|---|
| Přispěvatelé: | Graduate School, Neurology, ANS - Amsterdam Neuroscience, Neurosurgery |
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Deep brain stimulation genetic structures Deep Brain Stimulation medicine.medical_treatment Action Potentials Local field potential Subthalamic nucleus Neuronal spiking activity Power index medicine Humans Coherence (signal processing) Spectral analysis IR-99046 Beta (finance) Aged METIS-315038 Physics Brain Mapping Fourier Analysis musculoskeletal neural and ocular physiology General Neuroscience EWI-26466 Parkinson Disease Middle Aged nervous system diseases Power (physics) surgical procedures operative nervous system Parkinson’s disease Female Beta Rhythm Coherence Neuroscience |
| Zdroj: | Journal of neuroscience methods, 253, 116-125. Elsevier Journal of neuroscience methods, 253(2015), 116-125. Elsevier |
| ISSN: | 0165-0270 |
| DOI: | 10.1016/j.jneumeth.2015.06.006 |
| Popis: | Background: In deep brain stimulation of the subthalamic nucleus (STN-DBS) for Parkinson’s Disease (PD), often microelectrode recordings (MER) are used for STN identification. However, for advanced target identification of the sensorimotor STN, it may be relevant to use local field potential (LFP) recordings. Then, it is important to assure that the measured oscillations are coming from the close proximity of the electrode. New method: Through multiple simultaneous recordings of LFP and neuronal spiking, we investigated the temporal relationship between local neuronal spiking and more global LFP. We analyzed the local oscillations in the LFP by calculating power only over specific frequencies that show a significant coherence between LFP and neuronal spiking. Using this ‘coherence method’, we investigated how well measurements in the sensorimotor STN could be discriminated from measurements elsewhere in the STN. Results/comparison with existing methods: The ‘sensorimotor power index’ (SMPI) of beta frequencies, representing the ability to discriminate sensorimotor STN measurements based on the beta power, was significantly larger using the ‘coherence method’ for LFP spectral analysis compared to other methods where either the complete LFP beta spectrum or only the prominent peaks in the LFP beta spectrum were used to calculate beta power. Conclusions: The results suggest that due to volume conduction of beta frequency oscillations, proper localization of the sensorimotor STN with only LFP recordings is difficult. However, combining recordings of LFP and neuronal spiking and calculating beta power over the coherent parts of the LFP spectrum can be beneficial in discriminating the sensorimotor STN. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect