TY - GEN
T1 - Sculpting neural activation using deep brain stimulation leads with radially segmented contacts
AU - Teplitzky, Benjamin A.
AU - Xiao, Joe
AU - Zitella, Laura M.
AU - Johnson, Matthew D
PY - 2013
Y1 - 2013
N2 - Deep brain stimulation (DBS) leads with radially-segmented contacts are an enabling technology to more precisely sculpt neuronal activation and potentially improve clinical outcomes for patients with a number of brain disorders. In this study, we developed a computational modeling approach to investigate the relationship between the number of radial contacts around a DBS lead and the degree to which monopolar and bipolar stimulation settings can manipulate a region of axonal activation. Herein we describe methods for steering, shifting, and sculpting the region of neural activation in the context of both lead design and stimulation configuration.
AB - Deep brain stimulation (DBS) leads with radially-segmented contacts are an enabling technology to more precisely sculpt neuronal activation and potentially improve clinical outcomes for patients with a number of brain disorders. In this study, we developed a computational modeling approach to investigate the relationship between the number of radial contacts around a DBS lead and the degree to which monopolar and bipolar stimulation settings can manipulate a region of axonal activation. Herein we describe methods for steering, shifting, and sculpting the region of neural activation in the context of both lead design and stimulation configuration.
UR - http://www.scopus.com/inward/record.url?scp=84897735016&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897735016&partnerID=8YFLogxK
U2 - 10.1109/NER.2013.6695899
DO - 10.1109/NER.2013.6695899
M3 - Conference contribution
AN - SCOPUS:84897735016
SN - 9781467319690
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 170
EP - 173
BT - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
T2 - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Y2 - 6 November 2013 through 8 November 2013
ER -