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Intra- and Inter-Task Reliability of Spatial Attention Measures in Pseudoneglect
Gemma Learmonth1, Aodhan Gallagher2, Jamie Gibson2
1Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom; School of Psychology, University of Glasgow, Glasgow, United Kingdom.
Healthy adults show a consistent leftward spatial attention bias, known as pseudoneglect. This study confirms multiple tasks reliably measure this bias, revealing it
Area of Science:
- Cognitive Neuroscience
- Psychology
- Visual Perception
Background:
- Healthy young adults typically exhibit a leftward spatial attention bias, termed pseudoneglect.
- Previous research has used various tasks to measure this bias, but systematic evidence on task reliability and inter-task consistency is lacking.
Purpose of the Study:
- To assess the temporal stability and inter-task similarity of commonly used spatial bias measurement tasks.
- To investigate the underlying components of spatial attention bias in healthy adults.
Main Methods:
- Fifty right-handed young adults completed five spatial bias tasks (manual line bisection, landmark, greyscales, gratingscales, lateralised visual detection) across two sessions.
- Statistical analyses, including principal component analysis, were employed to evaluate task reliability and identify underlying bias components.
Main Results:
- All five tasks demonstrated good test-retest reliability, serving as stable measures of spatial bias over time.
- No significant correlations were found between most tasks, suggesting they capture different aspects of spatial bias.
- Principal component analysis identified four main components underlying left-right asymmetries: size judgments, luminance judgments, stimulus detection, and global/local feature judgments.
Conclusions:
- Spatial biases in healthy adults, like pseudoneglect, are multi-component phenomena, not a single deficit.
- Task-specific demands likely engage distinct patterns within the attention network, influencing the measured spatial bias.
- Findings align with the multi-component conceptualization of hemispatial neglect, suggesting shared underlying mechanisms.
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