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Deficit Fields for Stroke Recovery

2021年6月8日 更新者:James Patton、Shirley Ryan AbilityLab

Error-enhanced Learning & Recovery in 2 & 3 Dimensions

This study investigates the potential of customized robotic and visual feedback interaction to improve recovery of movements in stroke survivors. While therapists widely recognize that customization is critical to recovery, little is understood about how take advantage of statistical analysis tools to aid in the process of designing individualized training. Our approach first creates a model of a person's own unique movement deficits, and then creates a practice environment to correct these problems. Experiments will determine how the deficit-field approach can improve (1) reaching accuracy, (2) range of motion, and (3) activities of daily living. The findings will not only shed light on how to improve therapy for stroke survivors, it will test hypotheses about fundamental processes of practice and learning. This study will help us move closer to our long-term goal of clinically effective treatments using interactive devices.

調査の概要

研究の種類

介入

入学 (実際)

45

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Illinois
      • Chicago、Illinois、アメリカ、60611
        • Rehabilitation Institute of Chicago

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年~100年 (大人、高齢者)

健康ボランティアの受け入れ

はい

受講資格のある性別

全て

説明

Inclusion Criteria:

STROKE SURVIVORS:

  • adult (age >18)
  • Chronic stage stroke recovery (8+ months post)
  • available medical records and radiographic information about lesion locations
  • strokes caused by an ischemic infarct in the middle cerebral artery
  • primary motor cortex involvement
  • a Fugl-Meyer score (between 15-50) to evaluate arm motor impairment level

HEALTHY CONTROL PARTICIPANTS:

  • adult (age >18)
  • healthy individuals with no history of stroke or neural injury

Exclusion Criteria:

  • bilateral paresis;
  • severe sensory deficits in the limb
  • severe spasticity (Modified Ashworth of 4) preventing movement
  • aphasia, cognitive impairment or affective dysfunction that would influence the ability to perform the experiment
  • inability to provide an informed consent
  • severe current medical problems
  • diffuse/multiple lesion sites or multiple stroke events
  • hemispatial neglect or visual field cut that would prevent subjects from seeing the targets.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

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:処理
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:ダブル

武器と介入

参加者グループ / アーム
介入・治療
実験的:Deficit-fields to reduce error
We hypothesize that a deficit-field design, using the statistics of a patient's errors to customize training, will provide optimal augmentation that varies during motion as needed. We will compare the training effects of error deficit-fields with previous methods of error augmentation to improve reaching ability.
Stroke survivors exhibit error in both reaching extent and abnormal curvatures of motion. Prior error augmentation techniques multiply error by a constant at each instant during movement. However, magnification of spurious errors may provoke over-compensation. We hypothesize that a deficit-field design, using the statistics of a patient's errors to customize training, will provide optimal augmentation that varies during motion as needed. We will compare the training effects of error deficit-fields with previous methods of error augmentation to improve reaching ability.
実験的:Deficit-fields to expand range of motion
Amplifying augmentation can expand motor exploration and improve skill retention in patients. Using motor exploration patterns from each patient, we will form customized deficit-fields to recover normal joint workspace. We will compare augmentation training that either amplifies or diminishes the observed deficits (Expt-1). We also compare deficit-fields with our prior augmentation methods to determine the added value of increased customization (Expt-2).
Motor deficits manifest in the workspace limitations of joints, i.e. reduced range of motion, uneven extension-flexion, inter-joint coupling, and unwanted synergies. Our work builds upon these ideas by augmenting self-directed movement for training coordination. We found that amplifying augmentation can expand motor exploration and improve skill retention in patients. Using motor exploration patterns from each patient, we will form customized deficit-fields to recover normal joint workspace. We will compare augmentation training that either amplifies or diminishes the observed deficits (Expt-1). We also compare deficit-fields with our prior augmentation methods to determine the added value of increased customization (Expt-2).
実験的:Deficit-fields to improve function
Here we present visual distortion of whole body movement during manual tasks during standing, including reaching, grasping, and object manipulation. We compare the training effects of feedback based on deficit-fields versus practice with normal vision.
Clinicians have recognized the benefits of training on everyday tasks (Hubbard, Parsons et al. 2009), as well as practice with whole-body actions (Boehme 1988; Bohannon 1995). However, typical robotic systems have only a single contact point and cannot drive the multiple joints involved in functional tasks. Visual distortions (e.g. a shift, rotation or stretch) can promote adaptation even without forces. Here we present visual distortion of whole body movement during manual tasks during standing, including reaching, grasping, and object manipulation. We compare the training effects of feedback based on deficit-fields versus practice with normal vision.

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
Arm motor recovery scores on the Fugl-Meyer
時間枠:Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Change from baseline in arm motor recovery as measured by Fugl-Meyer
Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5

二次結果の測定

結果測定
メジャーの説明
時間枠
Number of blocks transferred in Box and Blocks Test
時間枠:Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Change from baseline in number of blocks transferred during Box and Blocks Test
Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Modified Ashworth Scale (MAS)
時間枠:Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Change from baseline in amount of spasticity in elbow flexors and extensors
Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Elbow active range of motion (ROM)
時間枠:Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Change from baseline measured in degrees for elbow flexion and extension
Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Chedoke McMaster Stroke Assessment for Hand
時間枠:Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Change in baseline in amount of hand motor recovery as measured by Chedoke scale
Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Time and completion score for Action Research Arm Test (ARAT)
時間枠:Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5
Change in baseline score and time for completion of functional measures as part of ARAT
Baseline at beginning of week 1 and 3 prior to intervention; post-evaluation at end of week 4; follow-up evaluation at end of week 5

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • 主任研究者:James L Patton, PhD、Shirley Ryan AbilityLab

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2013年5月1日

一次修了 (実際)

2019年6月30日

研究の完了 (実際)

2019年6月30日

試験登録日

最初に提出

2015年10月1日

QC基準を満たした最初の提出物

2015年10月6日

最初の投稿 (見積もり)

2015年10月7日

学習記録の更新

投稿された最後の更新 (実際)

2021年6月10日

QC基準を満たした最後の更新が送信されました

2021年6月8日

最終確認日

2018年10月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • RehabilitationIC
  • 2R01NS053606-05A1 (米国 NIH グラント/契約)

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