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Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...

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Related Experiment Video

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Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic

Alexandra Pavel1, Francis A Fernandes1, Sean Rose1

  • 1Physical Sciences Platform, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre.

Journal of Visualized Experiments : Jove
|February 16, 2026
PubMed
Summary

This study introduces a new multimodal protocol combining tablet technology, eye tracking, and fMRI to better understand the neural basis of cognitive tests like the Trail-Making Test (TMT). This approach aims to improve diagnosis and management of cognitive disorders.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging

Background:

  • Paper-based cognitive tests, such as the Trail-Making Test (TMT), are widely used but their neural underpinnings are not well understood.
  • Existing tests have limitations in sensitivity and specificity for diagnosing cognitive impairments.

Purpose of the Study:

  • To develop and validate a novel multimodal research protocol for investigating cognitive test performance.
  • To explore the relationships between kinematic, visual behavior, and neural activity during cognitive tasks.
  • To enhance the understanding of neural correlates of cognition for improved clinical applications.

Main Methods:

  • Integration of tablet technology for cognitive testing.
  • Simultaneous eye-tracking to capture visual behavior.
  • Functional magnetic resonance imaging (fMRI) to measure neural activity.
  • Development of a protocol combining these modalities for cognitive assessment.

Main Results:

  • Demonstration of protocol validity using data from a representative participant.
  • Illustration of the potential to explore kinematic, visual, and neural correlates of cognitive tests.
  • Successful integration of novel tablet technology, eye tracking, and fMRI.

Conclusions:

  • The proposed multimodal protocol advances cognitive neuroscience research within clinical MRI settings.
  • This approach has significant implications for the future diagnosis and management of cognitive disorders.
  • The findings pave the way for more precise assessment of brain function during cognitive tasks.