Clinical Trial: Cortical Function Changes During Swallowing in Patients With Dysphagia in Lateral Medullary Syndrome

Study Status: RECRUITING
Recruit Status: RECRUITING
Study Type: OBSERVATIONAL

Official Title: Cortical Activation and Functional Connectivity Changes During Swallowing in Patients With Dysphagia in Lateral Medullary Syndrome

Brief Summary:

The goal of this observational study is to detect the alteration of cortical activation and functional connectivity during swallowing in patients with Lateral Medullary Syndrome (LMS) dysphagia by functional near infrared spectroscopy (fNIRS).
The main questions it aims to answer are:

  • The alteration of cortical activation during swallowing in patients with LMS compared with healthy subjects.
  • The alteration of cortical functional connectivity during swallowing in patients with LMS compared with healthy subjects.

fNIRS will be used to detect cortical activation and functional connectivity during swallowing tasks in LMS patients and healthy subjects, and to compare the differences between patients and healthy subjects.


Detailed Summary:
Sponsor: The First Affiliated Hospital of Zhengzhou University

Current Primary Outcome: The NirSpark package will be used to preprocess and analyze the fNIRS data.
The steps will be used to preprocess the data including: deleting irrelevant time intervals and unrelated artifacts; turning the intensity of light into optical density; choosing the band-pass filter to filter the noise and interference signals (0.01-0.2 Hz); translating optical density to the oxygen concentration in the blood; and setting the initial time of the hemodynamic response function (HRF) to 30 s and the end time to 60 s (the time for a single block paradigm).
To analyze the HbO2 time-series data, a generalized linear model (GLM) will be used.
The GLM could calculate the degree of matching between the experimental and ideal HRF values for each task and participant.
The beta value, which represents the channel's level of cortical activation, will be utilized to estimate the HRF prediction of the HbO2 signal and can be used to represent the HRF function's peak value.

Original Primary Outcome: The NirSpark package will be used to preprocess and analyze the fNIRS data.
The steps will be used to preprocess the data including: deleting irrelevant time intervals and unrelated artifacts; turning the intensity of light into optical density; choosing the band-pass filter to filter the noise and interference signals (0.01-0.2 Hz); translating optical density to the oxygen concentration in the blood; and setting the initial time of the hemodynamic response function (HRF) to 30 s and the end time to 60 s (the time for a single block paradigm).
To analyze the HbO2 time-series data, a generalized linear model (GLM) will be used.
The GLM could calculate the degree of matching between the experimental and ideal HRF values for each task and participant.
The beta value, which represents the channel's level of cortical activation, will be utilized to estimate the HRF prediction of the HbO2 signal and can be used to represent the HRF function's peak value.

Current Secondary Outcome:

Original Secondary Outcome:

Information By: The First Affiliated Hospital of Zhengzhou University

Dates:
Date Received: January 05, 2024
Date Started: May 31, 2023
Date Completion: February 15, 2024
Last Updated: January 17, 2024
Last Verified: January 01, 2024