Christine Parsons

Application of a null-beamformer to source localisation in MEG data of deep brain stimulation

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Hamid R Mohseni
  • ,
  • Morten L. Kringelbach
  • Penny Probert Smith
  • ,
  • Alexander L Green
  • ,
  • Christine Parsons
  • Katherine S Young
  • ,
  • John-Stuart Brittain
  • ,
  • Jonathan A Hyam
  • ,
  • Patrick M Schweder
  • ,
  • John F Stein
  • ,
  • Tipu Z Aziz
  • Center for Functionally Integrative Neuroscience
In this paper, we present an analysis of magnetoencephalography (MEG) signals from a patient with whole-body chronic pain in order to investigate changes in neural activity induced by DBS. The patient is one of the few cases treated using DBS of the anterior cingulate cortex (ACC). Using MEG to reconstruct the neural activity of interest is challenging because of interference to the signal from the DBS device. We demonstrate that a null-beamformer can be used to localise neural activity despite artefacts caused by the presence of DBS electrodes and stimulus pulses. We subsequently verified the accuracy of our source localisation by correlating the predicted DBS electrode positions with their actual positions, previously identified using anatomical imaging. We also demonstrated increased activity in pain-related regions including the pre-supplementary motor area, brainstem periaqueductal gray and medial prefrontal areas when the patient was in pain compared to when the patient experienced pain relief.
Original languageEnglish
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume1
Pages (from-to)4120-3
Number of pages4
ISSN2375-7477
DOIs
Publication statusPublished - 1 Jan 2010

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