The Relationship Between Ankle Function and Brain Structure and Neural Networks

The Relationship Between Ankle Function and Brain Structure and Neural Networks - The Relationship Between Ankle Function and Brain Structure and Neural Networks

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000061330

Enrollment

Registered

2026-04-22

Start date

2026-04-22

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

healthy adults

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: We will use the university's internal email system to notify undergraduate and graduate students of the call for research participants. We will accept as research participants only those students who express an interest in this study and have fully understood its content, and who voluntarily agree to participate in the experiment of their own free will. The eligibility criteria require participants to be between 18 and 27 years of age.

Exclusion criteria

Exclusion criteria: Participants with implanted metal devices (such as pacemakers), those with claustrophobia, and those with a history of ankle injuries will be excluded.

Design outcomes

Primary

Measure	Time frame
First, head MRI images of the subjects are acquired. Next, visual tracking and joint position sense tasks are performed to assess ankle joint function. The interval between the head MRI scan and the performance of each task should be within one week. Brain imaging data is acquired using a 32-channel head coil (QD coil, 32-channel Head SPEEDER Coil) and a 3T Vantage Galan MRI scanner (Canon Medical Systems, Tochigi, Japan). The acquired images include T1-weighted images, T2-weighted images, and resting-state functional images.	—

Measure

Time frame

First, head MRI images of the subjects are acquired. Next, visual tracking and joint position sense tasks are performed to assess ankle joint function. The interval between the head MRI scan and the performance of each task should be within one week. Brain imaging data is acquired using a 32-channel head coil (QD coil, 32-channel Head SPEEDER Coil) and a 3T Vantage Galan MRI scanner (Canon Medical Systems, Tochigi, Japan). The acquired images include T1-weighted images, T2-weighted images, and resting-state functional images.

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Secondary

Measure	Time frame
In the visual tracking task, we used waveform offset detection software (S-17526, Takei Kiki Kogyo) and an AD converter (TSA-210, Takei Kiki Kogyo) to record the plantar flexion and dorsiflexion angles of the right ankle at a sampling frequency of 100 Hz. We instructed the subjects to track the target waveform on the monitor by voluntarily adjusting the ankle angle. Defining 10 degrees plantar flexion as 0% and 20 degrees dorsiflexion as 100%, sinusoidal waveforms combining three angle ranges (0-60%, 0-70%, 0-80%) and two duration settings (2.5 seconds, 5 seconds) were presented randomly. The task consisted of three trials, each lasting 60 seconds. For the joint position sense task, we used the PowerLab signal analysis system (AD Instruments) and LabChart 8 (AD Instruments) to record the dorsiflexion and plantarflexion angles of the right ankle at a sampling frequency of 4000 Hz. The subject was instructed to reproduce the passively presented right ankle angle through active movement; the presented angles were set to three conditions (ankle in plantar flexion at approximately 0 degrees, 10 degrees dorsiflexion, and 20 degrees dorsiflexion). A total of 15 trials were conducted in random order, with five trials for each angle.	—

Measure

Time frame

In the visual tracking task, we used waveform offset detection software (S-17526, Takei Kiki Kogyo) and an AD converter (TSA-210, Takei Kiki Kogyo) to record the plantar flexion and dorsiflexion angles of the right ankle at a sampling frequency of 100 Hz. We instructed the subjects to track the target waveform on the monitor by voluntarily adjusting the ankle angle. Defining 10 degrees plantar flexion as 0% and 20 degrees dorsiflexion as 100%, sinusoidal waveforms combining three angle ranges (0-60%, 0-70%, 0-80%) and two duration settings (2.5 seconds, 5 seconds) were presented randomly. The task consisted of three trials, each lasting 60 seconds. For the joint position sense task, we used the PowerLab signal analysis system (AD Instruments) and LabChart 8 (AD Instruments) to record the dorsiflexion and plantarflexion angles of the right ankle at a sampling frequency of 4000 Hz. The subject was instructed to reproduce the passively presented right ankle angle through active movement; the presented angles were set to three conditions (ankle in plantar flexion at approximately 0 degrees, 10 degrees dorsiflexion, and 20 degrees dorsiflexion). A total of 15 trials were conducted in random order, with five trials for each angle.

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Countries

Japan

Contacts

Public ContactShinnosuke Watanabe

Niigata University of Health and Welfare Graduate School Graduate School of Health and Welfare Sciences, Department of Health Sciences, Division of Physical

hpm26005@nuhw.ac.jp0252574455

Outcome results