このページは自動翻訳されたものであり、翻訳の正確性は保証されていません。を参照してください。 英語版 ソーステキスト用。

Functional Neuroimaging and Motor Recovery After Stroke

2026年6月18日 更新者:University of Delaware

The primary goal of this project is to establish whether fMRI measurements of brain connectivity measured before and after interaction with a sensorimotor task can predict subsequent training-induced gains in motor function in a population of individuals with chronic stroke.

This study involves individuals with chronic motor impairment resulting from stroke. The procedures include one fMRI session (baseline), followed by twelve training visits (2 or 3 times per week over 4-5 weeks) focused on training motor function of the hand and wrist conducted with a physical therapist. During imaging, participants interact with an MRI-compatible joystick that will cue participants to move their wrist in a controlled way. Before and after the training program, subjects will undergo behavioral testing with a physical therapist to quantify changes in clinical measures of impairment.

調査の概要

研究の種類

介入

入学 (実際)

14

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

    • Delaware
      • Newark、Delaware、アメリカ、19713
        • Center for Biomedical and Brain Imaging
      • Newark、Delaware、アメリカ、19713
        • STAR Health Sciences Complex

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

  • 大人
  • 高齢者

健康ボランティアの受け入れ

いいえ

説明

Inclusion Criteria:

  • age comprised between 35 and 85 years
  • diagnosis of a single unilateral subcortical stroke event occurring more than 6 months prior to enrollment resulting in upper extremity paresis (weakness) of one arm,
  • presence of residual upper extremity motor function, demonstrated by the ability to actively supinate (rotate hand toward "palm-up" direction) the paretic forearm to neutral and to voluntarily extend (bend wrist toward back of the hand) and radially deviate (bend wrist toward thumb side) the paretic wrist at least 5 degrees,
  • adequate cognition to provide informed consent and fully follow instruction (MOCA score of at least 19),
  • English-speaking

Exclusion Criteria:

  • more than 1 stroke,
  • clinical or radiological evidence of damage to the cerebellum or brainstem,
  • contra-indications to MRI (i.e. pacemakers, cochlear implants, neurostimulators, metallic implants, pregnancy, claustrophobia, permanent metal braces, or other implanted devices not approved for 3T imaging - see CBBI MRI Safety Checklist for details),
  • weight >400 pounds and/or unable or too uncomfortable to fit the torso into the MRI bore,
  • musculoskeletal or other neurologic (non-stroke) conditions directly affecting the paretic wrist or hand function (such as tendinitis, arthritis, hand or wrist orthopaedic surgery in the last 6 months, diagnosis of carpal tunnel, multiple sclerosis, Parkinson's disease, etc.)
  • inability to follow instructions on the motor task or understand protocol description (e.g. due to cognitive deficits)
  • participation in additional Occupational or Physical Therapy in which they are doing hand/arm exercises while enrolled in this study
  • received Botox injections in the past 3 months prior to or during participation in the study

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: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:Conventional Physical Therapy Intervention
The training sessions will consist of high repetitions of finger flexion/extension and grip/object manipulation tasks, wrist flexion/extension and radial/ulnar deviation and forearm supination/pronation tasks performed while seated, standing or lying comfortably. All activities are typical of those conducted in physical therapy post-stroke except for the high number of repetitions. Some example tasks might include using a mallet to hammer pegs into a hole, pouring water from one cup into another, or spinning a pencil with the fingertips. Difficulty of tasks will be scaled to the capability level of each individual so that at least 200 repetitions of each exercise can be completed with 50-85% accuracy and a patient-reported difficulty of 5-9 out of 10.
The training sessions will consist of high repetitions of finger flexion/extension and grip/object manipulation tasks, wrist flexion/extension and radial/ulnar deviation and forearm supination/pronation tasks performed while seated, standing or lying comfortably. All activities are typical of those conducted in physical therapy post-stroke except for the high number of repetitions. Some example tasks might include using a mallet to hammer pegs into a hole, pouring water from one cup into another, or spinning a pencil with the fingertips. Difficulty of tasks will be scaled to the capability level of each individual so that at least 200 repetitions of each exercise can be completed with 50-85% accuracy and a patient-reported difficulty of 5-9 out of 10.

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
Goodness of fit (R^2) of a model predicting change in Upper Extremity Fugl-Meyer score from pre-post task changes in resting-state functional connectivity
時間枠:Brain connectivity is measured during the MRI visit conducted at Baseline. rsFMRI scans are collected within 10 minutes before and after a motor task. FM-UE is assessed once at Baseline and once at the end of the five week enrollment period.

The primary outcome is the goodness of fit (R^2) of a regression model relating brain connectivity measures (predictors) to gains in motor function after stroke (clinical measurement).

Predictors: resting-state functional connectivity measured using resting-state fMRI (rs-fMRI). Connectivity is quantified as Fisher-transformed correlation coefficients (z scores, unitless) of signal measured in pairs of regions (edges) within the cortico-thalamic-cerebellar network. Predictors include baseline (pre-task) connectivity and connectivity changes calculated as the difference between post-task and pre-task rs-fMRI measurements.

Clinical measurement: change in Upper Extremity Fugl-Meyer Assessment (FM-UE) score (units: points), calculated as post-intervention FM-UE minus pre-intervention FM-UE.

Outcome: model goodness of fit (R^2, unitless). We use a custom LASSO-based variable selection method to construct the final model given multiple predictors and quantify the model fit via R^2.

Brain connectivity is measured during the MRI visit conducted at Baseline. rsFMRI scans are collected within 10 minutes before and after a motor task. FM-UE is assessed once at Baseline and once at the end of the five week enrollment period.

二次結果の測定

結果測定
メジャーの説明
時間枠
Goodness of fit (R^2) of a model predicting change in Upper Extremity Fugl-Meyer score from corticospinal tract injury
時間枠:Structural brain scan (FLAIR) is acquired once during the MRI visit at Baseline. FM-UE is assessed once at Baseline and once at the end of the five week enrollment period.

The secondary outcome is the goodness of fit (R^2) of a linear regression model relating corticospinal tract injury (predictor) to gains in motor function after stroke (clinical measurement).

Predictor: percent corticospinal tract injury (%CST injury) quantified using a structural MRI brain scan (FLAIR). The FLAIR image shows the location and volume of lesioned tissue, and %CST injury is quantified as the percentage of CST axon bundles (derived from a previously published healthy template) that overlap with the lesion (predictor units: percent damaged axon bundles).

Clinical measurement: change in Upper Extremity Fugl-Meyer Assessment (FM-UE) score (units: points), calculated as post-intervention FM-UE minus pre-intervention FM-UE.

Outcome: model goodness of fit (R^2, unitless). We use linear regression to relate %CST injury to the change in FM-UE and quantify the model's fit via R^2.

Structural brain scan (FLAIR) is acquired once during the MRI visit at Baseline. FM-UE is assessed once at Baseline and once at the end of the five week enrollment period.

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

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)

2022年1月25日

一次修了 (実際)

2022年12月22日

研究の完了 (実際)

2022年12月22日

試験登録日

最初に提出

2026年6月5日

QC基準を満たした最初の提出物

2026年6月18日

最初の投稿 (実際)

2026年6月24日

学習記録の更新

投稿された最後の更新 (実際)

2026年6月24日

QC基準を満たした最後の更新が送信されました

2026年6月18日

最終確認日

2026年5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

  • 1125467
  • 17SDG33690002 (その他の助成金/資金番号:American Heart Association)

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

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。

購読する