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Updated: Jul 21, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
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.
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.
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.
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