Publications by authors named "Eoghan Gallagher"

Article Synopsis
  • Early detection of cognitive impairment, both subjective and objective, is crucial, as subjective complaints can appear before any measurable deficits.
  • A study involving 3,327 participants used a smartphone app to examine how 13 dementia risk factors relate to subjective memory and objective cognitive functions.
  • Results showed subjective memory issues were more strongly linked to risk factors like depression, socioeconomic status, and loneliness, while smartphone assessments can help identify early cognitive problems across different age groups.
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Article Synopsis
  • Model-based planning helps prevent reliance on habits and is less effective in individuals with high compulsivity, although the impact is small and task-dependent.
  • A new diamond-shooting smartphone game was designed to measure model-based planning in a home environment, assessing how different game structures affect measurement reliability and validity related to compulsivity.
  • The study found that using fewer trials could effectively measure model-based planning, especially when tasks were less deterministic, suggesting the app is a viable tool for identifying compulsive behavior in the general population.
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Metacognitive biases have been repeatedly associated with transdiagnostic psychiatric dimensions of 'anxious-depression' and 'compulsivity and intrusive thought', cross-sectionally. To progress our understanding of the underlying neurocognitive mechanisms, new methods are required to measure metacognition remotely, within individuals over time. We developed a gamified smartphone task designed to measure visuo-perceptual metacognitive (confidence) bias and investigated its psychometric properties across two studies (N = 3410 unpaid citizen scientists, N = 52 paid participants).

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Elevated emotion network connectivity is thought to leave people vulnerable to become and stay depressed. The mechanism through which this arises is however unclear. Here, we test the idea that the connectivity of emotion networks is associated with more extreme fluctuations in depression over time, rather than necessarily more severe depression.

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