TY - GEN
T1 - How Does Deep Brain Stimulation Affect Magnetoencephalography Data?
AU - Dattada, Vamsi Vijay Mohan
AU - Sasidharan, Sreedev
AU - Hojlund, Andreas
AU - Sridharan, Kousik Sarathy
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Deep Brain Stimulation (DBS) is an established and effective neuromodulation technique preferred in treating several neurological and neuropsychiatric disorders such as Parkinson's Disease(PD), epilepsy, obsessive compulsive disorder, depression and several such disorders. Magnetoencephalography (MEG) is a widely used neuroimaging strategy to understand the pathology and the therapeutic effects of DBS in clinical cohorts. One of the significant limitations is the inability to differentiate the DBS stimulation artefact from actual neuronal excitations, especially in lower frequency bands of interest where sub-harmonics of DBS artefacts may obscure the biological response and is a confounder. The primary objective of this study is to understand how DBS stimulation artefacts affect MEG signals and to this end, we employ a phantom based on a water melon. Using this phantom, we record the spectral signature of the DBS stimulation artefact at various DBS frequencies and stimulation voltages, the effect of standard artefact rejection approaches like spatiotemporal signal space separation (tSSS). We present in this paper the results of the initial analysis.
AB - Deep Brain Stimulation (DBS) is an established and effective neuromodulation technique preferred in treating several neurological and neuropsychiatric disorders such as Parkinson's Disease(PD), epilepsy, obsessive compulsive disorder, depression and several such disorders. Magnetoencephalography (MEG) is a widely used neuroimaging strategy to understand the pathology and the therapeutic effects of DBS in clinical cohorts. One of the significant limitations is the inability to differentiate the DBS stimulation artefact from actual neuronal excitations, especially in lower frequency bands of interest where sub-harmonics of DBS artefacts may obscure the biological response and is a confounder. The primary objective of this study is to understand how DBS stimulation artefacts affect MEG signals and to this end, we employ a phantom based on a water melon. Using this phantom, we record the spectral signature of the DBS stimulation artefact at various DBS frequencies and stimulation voltages, the effect of standard artefact rejection approaches like spatiotemporal signal space separation (tSSS). We present in this paper the results of the initial analysis.
KW - artefact
KW - Deep Brain Stimulation
KW - Magnetoencephalography
KW - movement disorders
UR - http://www.scopus.com/inward/record.url?scp=85124799133&partnerID=8YFLogxK
U2 - 10.1109/DISCOVER52564.2021.9663715
DO - 10.1109/DISCOVER52564.2021.9663715
M3 - Article in proceedings
AN - SCOPUS:85124799133
T3 - 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021 - Proceedings
SP - 307
EP - 312
BT - 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021
Y2 - 19 November 2021 through 20 November 2021
ER -