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    Area of Science:

    • Neuroscience
    • Psychology
    • Digital Health

    Background:

    • Impulsivity is a significant risk factor for mood disorder complications.
    • Understanding intra-individual variability in impulsivity is crucial for clinical insights.
    • Digital tools offer novel ways to assess neurocognitive functions longitudinally.

    Purpose of the Study:

    • To analyze longitudinal data from a gamified digital Go/No-Go task to understand impulsivity variability.
    • To investigate diurnal and learning effects on reaction time and response inhibition accuracy.
    • To identify potential mood-dependent biomarkers of neurocognitive function.

    Main Methods:

    • Longitudinal analysis of a digital Go/No-Go task in clinical (mood disorders) and open-science samples.
    • Mixed-effects modeling to assess reaction time and accuracy in response inhibition.
    • Examination of diurnal effects and learning across repeated within-subject measurements.

    Main Results:

    • Diurnal effects were observed in reaction time, but not accuracy, across both samples.
    • Participants demonstrated improvement in response inhibition accuracy over time, but not in reaction time.
    • Significant interactions between depression severity and time-of-day were found, indicating mood-dependent circadian rhythms.

    Conclusions:

    • Repeated administration of the digital Go/No-Go task can capture mood-dependent, circadian rhythm-aware biomarkers.
    • The findings highlight the potential of digital tasks for assessing neurocognitive function in mood disorders.
    • Intra-individual variability in impulsivity is influenced by time-of-day and mood state.