Functional Neuroimaging and Motor Recovery After Stroke
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.
Studienübersicht
Status
Status
Bedingungen
Bedingungen
Intervention / Behandlung
Intervention / Behandlung
Studientyp
Studientyp
Einschreibung (Tatsächlich)
Einschreibung
Phase
Phase
- Unzutreffend
Kontakte und Standorte
Studienorte
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Delaware
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Newark, Delaware, Vereinigte Staaten, 19713
- Center for Biomedical and Brain Imaging
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Newark, Delaware, Vereinigte Staaten, 19713
- STAR Health Sciences Complex
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Teilnahmekriterien
Zulassungskriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Beschreibung
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
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Grundlegende Wissenschaft
- Zuteilung: N / A
- Interventionsmodell: Einzelgruppenzuweisung
- Maskierung: Keine (Offenes Etikett)
Anzahl der Arme
Waffen und Interventionen
Teilnehmergruppe / ArmTeilnehmergruppe / Arm |
Intervention / BehandlungIntervention / Behandlung |
|---|---|
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Experimental: 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.
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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.
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Was misst die Studie?
Primäre Ergebnismessungen
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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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
Zeitfenster: 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.
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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.
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Sekundäre Ergebnismessungen
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Goodness of fit (R^2) of a model predicting change in Upper Extremity Fugl-Meyer score from corticospinal tract injury
Zeitfenster: 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.
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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.
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Mitarbeiter und Ermittler
Sponsor
Sponsor
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Tatsächlich)
Studienbeginn
Primärer Abschluss (Tatsächlich)
Primärer Abschluss
Studienabschluss (Tatsächlich)
Studienabschluss
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Zuerst gepostet
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes Update gepostet
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
Andere Studien-ID-Nummern
- 1125467
- 17SDG33690002 (Andere Zuschuss-/Finanzierungsnummer: American Heart Association)
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