Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients

Allison T. Connolly; William F. Kaemmerer; Siddharth Dani; Scott R. Stanslaski; Eric Panken; Matthew D. Johnson; Timothy Denison

doi:10.1109/NER.2015.7146754

Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients

Allison T. Connolly, William F. Kaemmerer, Siddharth Dani, Scott R. Stanslaski, Eric Panken, Matthew D. Johnson, Timothy Denison

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

We have found that a set of support vector machines operating upon local field potentials sensed from an implanted DBS lead can identify the contact chosen by the physician for the patient's STN DBS therapy with 91% accuracy. The finding is based on a small data set and thus subject to change with further data collection and cross-validation. Nevertheless, the results suggest that an algorithm for selecting an effective contact for STN DBS based on the signals sensed from the DBS lead may be feasible.

Original language	English (US)
Title of host publication	2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
Publisher	IEEE Computer Society
Pages	840-843
Number of pages	4
ISBN (Electronic)	9781467363891
DOIs	https://doi.org/10.1109/NER.2015.7146754
State	Published - Jul 1 2015
Event	7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 - Montpellier, France Duration: Apr 22 2015 → Apr 24 2015

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2015-July
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Other

Other	7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
Country/Territory	France
City	Montpellier
Period	4/22/15 → 4/24/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Publisher link

10.1109/NER.2015.7146754

Find It

Find It at U of M Libraries

Cite this

Connolly, A. T., Kaemmerer, W. F., Dani, S., Stanslaski, S. R., Panken, E., Johnson, M. D., & Denison, T. (2015). Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients. In 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 (pp. 840-843). Article 7146754 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/NER.2015.7146754

Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients. / Connolly, Allison T.; Kaemmerer, William F.; Dani, Siddharth et al.
2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. IEEE Computer Society, 2015. p. 840-843 7146754 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Connolly, AT, Kaemmerer, WF, Dani, S, Stanslaski, SR, Panken, E, Johnson, MD & Denison, T 2015, Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients. in 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015., 7146754, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2015-July, IEEE Computer Society, pp. 840-843, 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015, Montpellier, France, 4/22/15. https://doi.org/10.1109/NER.2015.7146754

Connolly AT, Kaemmerer WF, Dani S, Stanslaski SR, Panken E, Johnson MD et al. Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients. In 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. IEEE Computer Society. 2015. p. 840-843. 7146754. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/NER.2015.7146754

Connolly, Allison T. ; Kaemmerer, William F. ; Dani, Siddharth et al. / Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients. 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. IEEE Computer Society, 2015. pp. 840-843 (International IEEE/EMBS Conference on Neural Engineering, NER).

@inproceedings{6f1c2c60a4ff47afa9684ba0e6d39e05,

title = "Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients",

abstract = "We have found that a set of support vector machines operating upon local field potentials sensed from an implanted DBS lead can identify the contact chosen by the physician for the patient's STN DBS therapy with 91% accuracy. The finding is based on a small data set and thus subject to change with further data collection and cross-validation. Nevertheless, the results suggest that an algorithm for selecting an effective contact for STN DBS based on the signals sensed from the DBS lead may be feasible.",

author = "Connolly, {Allison T.} and Kaemmerer, {William F.} and Siddharth Dani and Stanslaski, {Scott R.} and Eric Panken and Johnson, {Matthew D.} and Timothy Denison",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 ; Conference date: 22-04-2015 Through 24-04-2015",

year = "2015",

month = jul,

day = "1",

doi = "10.1109/NER.2015.7146754",

language = "English (US)",

series = "International IEEE/EMBS Conference on Neural Engineering, NER",

publisher = "IEEE Computer Society",

pages = "840--843",

booktitle = "2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015",

}

TY - GEN

T1 - Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients

AU - Connolly, Allison T.

AU - Kaemmerer, William F.

AU - Dani, Siddharth

AU - Stanslaski, Scott R.

AU - Panken, Eric

AU - Johnson, Matthew D.

AU - Denison, Timothy

PY - 2015/7/1

Y1 - 2015/7/1

N2 - We have found that a set of support vector machines operating upon local field potentials sensed from an implanted DBS lead can identify the contact chosen by the physician for the patient's STN DBS therapy with 91% accuracy. The finding is based on a small data set and thus subject to change with further data collection and cross-validation. Nevertheless, the results suggest that an algorithm for selecting an effective contact for STN DBS based on the signals sensed from the DBS lead may be feasible.

AB - We have found that a set of support vector machines operating upon local field potentials sensed from an implanted DBS lead can identify the contact chosen by the physician for the patient's STN DBS therapy with 91% accuracy. The finding is based on a small data set and thus subject to change with further data collection and cross-validation. Nevertheless, the results suggest that an algorithm for selecting an effective contact for STN DBS based on the signals sensed from the DBS lead may be feasible.

UR - http://www.scopus.com/inward/record.url?scp=84940374509&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84940374509&partnerID=8YFLogxK

U2 - 10.1109/NER.2015.7146754

DO - 10.1109/NER.2015.7146754

M3 - Conference contribution

AN - SCOPUS:84940374509

T3 - International IEEE/EMBS Conference on Neural Engineering, NER

SP - 840

EP - 843

BT - 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015

PB - IEEE Computer Society

T2 - 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015

Y2 - 22 April 2015 through 24 April 2015

ER -

Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients

Abstract

Publication series

Other

Bibliographical note

Publisher link

Find It

Other files and links

Fingerprint

Cite this