Bayesian Optimization of DBS for Gait (BOG DBS)
This project aims to establish the feasibility of Bayesian optimization for tuning deep brain stimulation (DBS) to treat gait symptoms in Parkinson's disease (PD) patients. Our primary question is: Can Bayesian optimization of DBS achieve reproducible results within a feasible number of gait measurements? PD patients will be enrolled who have DBS of the subthalamic nucleus (STN) or globus pallidus (GP) in whom at least 3 months have passed since activation of their neurostimulators, for stabilization of clinical stimulator settings. We will apply Bayesian optimization to derive DBS settings which maximally lengthen step length relative to the OFF DBS state.
調査の概要
詳細な説明
Patients will undergo on-label DBS for the treatment of Parkinson's disease, at stimulator settings different from their usual settings, but within the FDA-approved range for this indication, based on the output of the Bayesian optimization algorithm. Test settings will be evaluated by a brief period of walking on a treadmill which captures measurements of step length. The resulting step length will be provided to the algorithm to inform the next recommended test setting. This will be repeated approximately 30 times to reach putatively optimal DBS settings.
研究の種類
入学 (推定)
段階
- 初期フェーズ 1
連絡先と場所
研究連絡先
- 名前：Johanna Caskey, BA
- 電話番号：763-353-9470
- メール：caske039@umn.edu
研究場所
-
-
Minnesota
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Minneapolis、Minnesota、アメリカ、55455
- 募集
- University of Minnesota
-
主任研究者：
- Scott Cooper, MD, PhD
-
コンタクト：
- Johanna Caskey, BA
- 電話番号：763-353-9470
- メール：caske039@umn.edu
-
-
参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Diagnosis of Parkinson's Disease
- DBS in STN or GP (bilateral or unilateral)
- At least 3 months after lead implantation
Exclusion Criteria:
- Inability to walk in the off-med, off-stimulation condition (even with safety harness)
- Gait impaired significantly by a condition other than PD, as determined by the PI
- Breaks or shorts in active contacts
- IPG battery nearing end of life (in patients with primary-cell IPGs)
- Females who are nursing or pregnant
- Diminished capacity to consent (concluded via UBACC)
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：基礎科学
- 割り当て：なし
- 介入モデル：単一グループの割り当て
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
実験的：All participants
All participants will be allocated to this group for DBS stimulation within FDA-approved limits and labeling for symptoms of PD. |
DBS within FDA-approved limits and labeling for symptoms of PD |
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Gait Test
時間枠：This will be repeated approximately 30 times throughout the study visit (Day 1) on various DBS settings to reach putatively optimal DBS settings.
|
Subjects walk for one minute each on a treadmill set to match their individual overground walking speed. A forceplate measures the center of pressure trajectory from which integral software detects time and location of heel-strike and toe-off events. These events, and the treadmill speed, are used to compute step lengths. |
This will be repeated approximately 30 times throughout the study visit (Day 1) on various DBS settings to reach putatively optimal DBS settings.
|
協力者と研究者
スポンサー
捜査官
- 主任研究者：Scott Cooper, MD, PhD、University of Minnesota
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。