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Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

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Trail Making Test Performance Using a Touch-Sensitive Tablet: Behavioral Kinematics and Electroencephalography.

Zhongmin Lin¹, Fred Tam², Nathan W Churchill³

¹Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Frontiers in Human Neuroscience

|July 19, 2021

Summary

This summary is machine-generated.

This study links Trail Making Test (TMT) performance to brain activity using electroencephalography (EEG). Enhanced metrics reveal how movement speed and cognitive load during TMT relate to neural patterns.

Keywords:

EEG Trail Making Test computerized tablet neuropsychological tests partial least squares time-frequency analysis

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Published on: November 23, 2019

Area of Science:

Neuroscience
Cognitive Psychology
Psychometric Testing

Background:

The Trail Making Test (TMT) is a standard neuropsychological tool assessing cognitive functions.
Detailed characterization of the relationship between TMT performance and brain activity is lacking.
Traditional TMT performance metrics may not fully capture underlying neural processes.

Purpose of the Study:

To investigate the neural correlates of TMT performance using electroencephalography (EEG).
To explore enhanced performance metrics derived from tablet-based TMT execution.
To correlate specific TMT task components (linking, non-linking) with EEG signals.

Main Methods:

Sixteen healthy young adults completed a tablet-based TMT (Parts A and B) while undergoing simultaneous EEG.
Performance metrics included seconds per link (SPL) and detailed movement speed.
EEG data were analyzed for linking and non-linking periods across various frequency bands.

Main Results:

TMT Part B significantly increased SPL compared to Part A, confirming expected performance differences.
EEG revealed significant effects related to linking and non-linking periods across multiple frequency bands.
Neural activity patterns correlated with the cognitive demands inherent in TMT execution.

Conclusions:

Tablet-based TMT with EEG provides a richer understanding of cognitive processes than traditional methods.
Specific EEG frequency band modulations reflect distinct cognitive demands during TMT.
This approach enhances the neuroscientific investigation of executive functions assessed by the TMT.