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Measuring within-day cognitive performance using the experience sampling method: A pilot study in a healthy

Simone J W Verhagen¹, Naomi E M Daniëls^1,2, Sara Laureen Bartels^1,3

¹Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.

|December 13, 2019

Summary

This summary is machine-generated.

A new digital cognition task, the momentary Digit Symbol Substitution Task, effectively tracks daily cognitive fluctuations. This tool reveals how mood and context impact cognitive performance in real-world settings.

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Area of Science:

Cognitive Neuroscience
Digital Health
Psychology

Background:

Cognitive difficulties are common in depression, anxiety, psychosis, and neurodegenerative diseases.
Current assessments are typically cross-sectional and lack ecological validity.
There's a need to understand moment-to-moment cognitive fluctuations in daily life.

Purpose of the Study:

To develop and evaluate a digital cognition task for fine-grained mapping of cognitive performance.
To investigate the relationship between cognition, affect, and context in real-world settings.

Main Methods:

A modified digital Digit Symbol Substitution Task (DSST) was used.
The task was embedded in an experience sampling protocol (8 assessments/day for 6 days).
Tested in a healthy population (N=40); outcome measures were trials and accuracy.

Main Results:

The task was feasible and well-tolerated by participants.
Cognitive performance (accuracy and speed) was significantly related to mood states (positive and negative affect).
Contextual factors like distraction and location, along with age and learning effects, influenced cognition.

Conclusions:

Digital cognition tasks within experience sampling are promising for assessing cognitive function.
Further research and clinical validation are needed.
This approach can provide insights to help individuals manage daily cognitive demands.