The Sol Braiding Method for Handling Thick Hair During Transcranial Magnetic Stimulation: An Address for Potential Bias in Brain Stimulation

Overview

This article addresses the interference of thick, curly hair commonly found in underrepresented minorities with transcranial magnetic stimulation (TMS). It introduces a hair braiding technique, known as The Sol Braiding Technique, that enhances TMS effectiveness and promotes inclusivity in neuroscience research.

Key Study Components

Area of Science

• Neuroscience
• Transcranial Magnetic Stimulation
• Diversity in Research

Background

• Hair type can significantly impact the effectiveness of TMS.
• Historically underrepresented minorities may face challenges in neuroscientific studies.
• There exists a need for techniques that address this disparity in research.
• The proposed braiding method aims to improve inclusivity during TMS procedures.

Purpose of Study

• To evaluate whether braiding hair aids in the effective application of TMS.
• To increase representation and efficiency in TMS testing among minority groups.
• To propose a simple, quick method for preparing participants for TMS.

Methods Used

• TMS was conducted using a 70-millimeter figure of eight coil.
• The study involved monitoring and marking specific scalp points for accurate TMS application.
• Participants' hair was braided using the Sol Braiding Technique to improve TMS outcomes.
• Methods for determining motor thresholds were quantitatively assessed.
• Visual inspection and positive motor evoked potential methods were utilized.

Main Results

• Significant improvements in TMS efficacy were observed post-braiding.
• Increased amplitude and area under the curve (AUC) were noted following the Sol Braiding Technique.
• The method effectively reduced the motor threshold needed for TMS application.

Conclusions

• The study demonstrates the benefit of incorporating hair braiding for effective TMS delivery in diverse populations.
• This approach promotes inclusiveness and encourages participation in neuroscience research.
• Implications include improved methodologies in understanding neuronal mechanisms and enhancing experimental accuracy.

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