TY - GEN
T1 - Connectomic predictive modeling guides selective perturbation of tracts in the subcallosal cingulate white matter
AU - Howell, Bryan
AU - Waters, Allison C.
AU - Choi, Ki Sueng
AU - Veerakumar, Ashan
AU - Obatusin, Mosadoluwa
AU - Mayberg, Helen S.
AU - McIntyre, Cameron C.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/4
Y1 - 2021/5/4
N2 - Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) is an emerging experimental therapy for treatment-resistant depression. Successful outcomes are critically dependent on placing the active contact within the confluence of white matter adjacent to the SCC using patient-specific connectomic guidance, but the relative contribution of each putative target fiber bundle to the clinical response is still unknown. This study's goal was to assess the feasibility of selective target activation of two candidate SCC targets, forceps minor and the cingulum bundle, using biophysical modeling to guide parameter selection in individual patients. We tested two complementary use cases, isolated (or preferential) activation of each target, and activation of the same targets as the clinical setting but with minimal theoretical battery depletion. One selective setting per fiber bundle and one energy-efficient settings per lead were selected from 774 settings, and cortical responses to model settings were evaluated with the left lead at 2 Hz using high-density EEG. Optimal settings differed by patient, hemisphere, and use case. Isolated activation of the left cingulum bundle generated an ipsilateral cortical response with peak activity near 16 ms, whereas preferential activation of forceps minor produced a relatively slower bilateral response in the frontal sensors. A key feature of concomitant target activation was a midline sweep from 40-90 ms. Efficient setting generated a topographically similar response as the monopolar clinical setting but with some differences in the spatial extent of frontal polar activity. The results demonstrate the feasibility of selective perturbation of SCC white matter with model-based guidance.
AB - Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) is an emerging experimental therapy for treatment-resistant depression. Successful outcomes are critically dependent on placing the active contact within the confluence of white matter adjacent to the SCC using patient-specific connectomic guidance, but the relative contribution of each putative target fiber bundle to the clinical response is still unknown. This study's goal was to assess the feasibility of selective target activation of two candidate SCC targets, forceps minor and the cingulum bundle, using biophysical modeling to guide parameter selection in individual patients. We tested two complementary use cases, isolated (or preferential) activation of each target, and activation of the same targets as the clinical setting but with minimal theoretical battery depletion. One selective setting per fiber bundle and one energy-efficient settings per lead were selected from 774 settings, and cortical responses to model settings were evaluated with the left lead at 2 Hz using high-density EEG. Optimal settings differed by patient, hemisphere, and use case. Isolated activation of the left cingulum bundle generated an ipsilateral cortical response with peak activity near 16 ms, whereas preferential activation of forceps minor produced a relatively slower bilateral response in the frontal sensors. A key feature of concomitant target activation was a midline sweep from 40-90 ms. Efficient setting generated a topographically similar response as the monopolar clinical setting but with some differences in the spatial extent of frontal polar activity. The results demonstrate the feasibility of selective perturbation of SCC white matter with model-based guidance.
KW - Biophysical modeling
KW - Connectomics
KW - Deep brain stimulation
KW - Depression
KW - Subcallosal cingulate
UR - http://www.scopus.com/inward/record.url?scp=85107497605&partnerID=8YFLogxK
U2 - 10.1109/NER49283.2021.9441379
DO - 10.1109/NER49283.2021.9441379
M3 - Conference contribution
AN - SCOPUS:85107497605
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 271
EP - 274
BT - 2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
PB - IEEE Computer Society
T2 - 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
Y2 - 4 May 2021 through 6 May 2021
ER -