Individualized rTMS Based on fNIRS to Spasticity

Effect of Individualized rTMS Based on fNIRS on the Upper Limb Spasticity After Stroke

Stroke is of high morbidity and mortality, and surviving patients are often unable to take care of themselves because of severe motor dysfunction. The brain has plasticity, and makes adaptive changes after stroke, resulting in the reorganization and compensation of neural networks. However, the muscle tone of some patients will significantly increase during the recovery process, which affects the rehabilitation effect. Neuromodulation techniques such as repetitive transcranial magnetic stimulation (rTMS) have been widely used to promote brain network remodeling after stroke. The investigators attempted to evaluate the motor brain network characteristics of spastic patients by fNIRS, and used the most active brain regions as rTMS stimulation regions to evaluate the improvement effect of this individualized treatment on post-stroke spasticity.

Study Overview

Study Type

Interventional

Enrollment (Anticipated)

20

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Shaanxi
      • Xi'an, Shaanxi, China, 710000
        • Recruiting
        • First Affiliated Hospital of Xi'an Jiaotong University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 79 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Aged 40-79 years;
  • Patients with first-onset stroke within 1 to 3 months after onset;
  • Consciousness, sitting balance level 1 or above, can cooperate with fNIRS assessment;
  • The patient or its authorized agent signs the informed consent form.

Exclusion Criteria:

  • Previous seizures;
  • Suffered from mental illness such as depression, anxiety, mania, and schizophrenia before the stroke onset;
  • Patients with metal on the head, cochlear implants, intracranial infections, etc. who are not suitable for rTMS.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Individualized rTMS based on fNIRS
Low-frequency rTMS will be given to the most active brain regions assessed by fNIRS.
The rTMS parameters will be set according to fNIRS results.
Active Comparator: Traditional rTMS strategy
The control group will always be given low-frequency rTMS to contralesional M1
The low-frequency rTMS to contralesional M1 will always be used.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
modified Ashworth scale
Time Frame: 1 month
The range is 0-Ⅳ level, the higher the level, the higher the spasticity.
1 month

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Fugl-Meyer Assessment of upper limb motor function
Time Frame: 1 month
The score range is 0-66 points, the higher the score, the better the motor function of upper limb.
1 month
Barthel index
Time Frame: 1 month
The score range is 0-100 points, the higher the score, the better the activities of daily living.
1 month
average weighted clustering coefficient
Time Frame: 1 month
This is a brain network indicator based on graph theory. It is a measure of the local separation of the graph. The higher the average weighted clustering coefficient, the higher the degree of segregation of the brain network.
1 month
global efficiency
Time Frame: 1 month
This is a brain network indicator based on graph theory. It is a measure of the local integration of the graph. The higher the global efficiency, the stronger the ability of the network to transmit information.
1 month
inter-density
Time Frame: 1 month
It is a brain network indicator based on graph theory and is defined as the ratio of the actual number of connections among all possible connections between bilateral hemispheres.
1 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 10, 2022

Primary Completion (Anticipated)

September 1, 2023

Study Completion (Anticipated)

December 31, 2023

Study Registration Dates

First Submitted

March 29, 2022

First Submitted That Met QC Criteria

April 7, 2022

First Posted (Actual)

April 8, 2022

Study Record Updates

Last Update Posted (Actual)

April 20, 2022

Last Update Submitted That Met QC Criteria

April 18, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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