Irene E Harmsen1, Nathan C Rowland2, Richard A Wennberg3, Andres M Lozano4. 1. Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Krembil Discovery Tower, University Health Network, Toronto, Ontario, Canada. Electronic address: irene.harmsen@mail.utoronto.ca. 2. Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, USA. 3. Mitchell Goldhar Magnetoencephalography Unit, Krembil Neuroscience Centre, Toronto Western Hospital, Toronto, Ontario, Canada; Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada. 4. Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Krembil Discovery Tower, University Health Network, Toronto, Ontario, Canada.
Abstract
BACKGROUND: Deep brain stimulation (DBS) is an important form of neuromodulation that is being applied to patients with motor, mood, or cognitive circuit disorders. Despite the efficacy and widespread use of DBS, the precise mechanisms by which it works remain unknown. Over the last decade, magnetoencephalography (MEG) has become an important functional neuroimaging technique used to study DBS. OBJECTIVE: This review summarizes the literature related to the use of MEG to characterize the effects of DBS. METHODS: Peer reviewed literature on DBS-MEG was obtained by searching the publicly accessible literature databases available on PubMed. The abstracts of all reports were scanned and publications which combined DBS-MEG in human subjects were selected for review. RESULTS: A total of 32 publications met the selection criteria, and included studies which applied DBS for Parkinson's disease, dystonia, chronic pain, phantom limb pain, cluster headache, and epilepsy. DBS-MEG studies provided valuable insights into network connectivity, pathological coupling, and the modulatory effects of DBS. CONCLUSIONS: As DBS-MEG research continues to develop, we can expect to gain a better understanding of diverse pathophysiological networks and their response to DBS. This knowledge will improve treatment efficacy, reduce side-effects, reveal optimal surgical targets, and advance the development of closed-loop neuromodulation.
BACKGROUND: Deep brain stimulation (DBS) is an important form of neuromodulation that is being applied to patients with motor, mood, or cognitive circuit disorders. Despite the efficacy and widespread use of DBS, the precise mechanisms by which it works remain unknown. Over the last decade, magnetoencephalography (MEG) has become an important functional neuroimaging technique used to study DBS. OBJECTIVE: This review summarizes the literature related to the use of MEG to characterize the effects of DBS. METHODS: Peer reviewed literature on DBS-MEG was obtained by searching the publicly accessible literature databases available on PubMed. The abstracts of all reports were scanned and publications which combined DBS-MEG in human subjects were selected for review. RESULTS: A total of 32 publications met the selection criteria, and included studies which applied DBS for Parkinson's disease, dystonia, chronic pain, phantom limb pain, cluster headache, and epilepsy. DBS-MEG studies provided valuable insights into network connectivity, pathological coupling, and the modulatory effects of DBS. CONCLUSIONS: As DBS-MEG research continues to develop, we can expect to gain a better understanding of diverse pathophysiological networks and their response to DBS. This knowledge will improve treatment efficacy, reduce side-effects, reveal optimal surgical targets, and advance the development of closed-loop neuromodulation.
Authors: Matthew J Boring; Zachary F Jessen; Thomas A Wozny; Michael J Ward; Ashley C Whiteman; R Mark Richardson; Avniel Singh Ghuman Journal: Neuroimage Date: 2019-05-31 Impact factor: 6.556
Authors: Lennard I Boon; Arjan Hillebrand; Wouter V Potters; Rob M A de Bie; Naomi Prent; Maarten Bot; P Richard Schuurman; Cornelis J Stam; Anne-Fleur van Rootselaar; Henk W Berendse Journal: Neuroimage Clin Date: 2020-02-21 Impact factor: 4.881
Authors: Gordon Duffley; Daria Nesterovich Anderson; Johannes Vorwerk; Alan D Dorval; Christopher R Butson Journal: J Neural Eng Date: 2019-10-29 Impact factor: 5.379