JOM KITA KE POLITEKNIK

Combining Multimodal Biomarkers to Guide Deep Brain Stimulation Programming in Parkinson Disease (Record no. 468)

MARC details
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240806103347.0
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fixed length control field 240806b |||||||| |||| 00| 0 eng d
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International Standard Book Number 00002
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Transcribing agency LEMON
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Authentication code dc
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Classification number REF
Item number 05
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number REF BS0130
Classification number C5
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) REF BS0130
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) C5
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Shah, Ashesh
Relator term author
9 (RLIN) 2791
245 00 - TITLE STATEMENT
Title Combining Multimodal Biomarkers to Guide Deep Brain Stimulation Programming in Parkinson Disease
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2022-02-23.
500 ## - GENERAL NOTE
General note /pmc/articles/PMC7614142/
500 ## - GENERAL NOTE
General note /pubmed/35219571
520 ## - SUMMARY, ETC.
Summary, etc. BACKGROUND: Deep brain stimulation (DBS) programming of multicontact DBS leads relies on a very time-consuming manual screening procedure, and strategies to speed up this process are needed. Beta activity in subthalamic nucleus (STN) local field potentials (LFP) has been suggested as a promising marker to index optimal stimulation contacts in patients with Parkinson disease. OBJECTIVE: In this study, we investigate the advantage of algorithmic selection and combination of multiple resting and movement state features from STN LFPs and imaging markers to predict three relevant clinical DBS parameters (clinical efficacy, therapeutic window, side-effect threshold). MATERIALS AND METHODS: STN LFPs were recorded at rest and during voluntary movements from multicontact DBS leads in 27 hemispheres. Resting- and movement-state features from multiple frequency bands (alpha, low beta, high beta, gamma, fast gamma, high frequency oscillations [HFO]) were used to predict the clinical outcome parameters. Subanalyses included an anatomical stimulation sweet spot as an additional feature. RESULTS: Both resting- and movement-state features contributed to the prediction, with resting (fast) gamma activity, resting/ movement-modulated beta activity, and movement-modulated HFO being most predictive. With the proposed algorithm, the best stimulation contact for the three clinical outcome parameters can be identified with a probability of almost 90% after considering half of the DBS lead contacts, and it outperforms the use of beta activity as single marker. The combination of electrophysiological and imaging markers can further improve the prediction. CONCLUSION: LFP-guided DBS programming based on algorithmic selection and combination of multiple electrophysiological and imaging markers can be an efficient approach to improve the clinical routine and outcome of DBS patients.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
546 ## - LANGUAGE NOTE
Language note en
655 7# - INDEX TERM--GENRE/FORM
Genre/form data or focus term Text
Source of term local
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Topical term or geographic name as entry element Article
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Nguyen, Thuy-Anh Khoa
Relator term author
9 (RLIN) 2792
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Peterman, Katrin
Relator term author
9 (RLIN) 2793
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Khawaldeh, Saed
Relator term author
9 (RLIN) 2794
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Debove, Ines
Relator term author
9 (RLIN) 2795
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Shah, Syed Ahmar
Relator term author
9 (RLIN) 2796
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Torrecillos, Flavie
Relator term author
9 (RLIN) 2797
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Tan, Huiling
Relator term author
9 (RLIN) 2798
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Pogosyan, Alek
Relator term author
9 (RLIN) 2799
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Lachenmayer, Martin Lenard
Relator term author
9 (RLIN) 2800
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Michelis, Joan
Relator term author
9 (RLIN) 2801
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Brown, Peter
Relator term author
9 (RLIN) 2802
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Pollo, Claudio
Relator term author
9 (RLIN) 2803
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Krack, Paul
Relator term author
9 (RLIN) 2804
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Nowacki, Andreas
Relator term author
9 (RLIN) 2805
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Tinkhauser, Gerd
Relator term author
9 (RLIN) 2806
786 0# - DATA SOURCE ENTRY
Note Neuromodulation
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1016/j.neurom.2022.01.017">http://dx.doi.org/10.1016/j.neurom.2022.01.017</a>
Public note Connect to this object online.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Reference
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Barcode Date last seen Date last checked out Cost, replacement price Price effective from
    Dewey Decimal Classification     Beaconhouse Newlands Beaconhouse Newlands 01/02/2024 37 80.00 1 BK140000000 13/03/2024 13/03/2024 80.00 01/02/2024