Neural dynamics underlying varying attentional control facing invariant cognitive task upon invariant stimuli

Area of Science:

• Cognitive Neuroscience
• Human Brain Function
• Visuospatial Attention

Background:

• Behavioral performance fluctuates even with invariant tasks and stimuli.
• These fluctuations correlate with changes in attentional control and brain self-organization states.
• Understanding these dynamics is crucial for cognitive neuroscience.

Purpose of the Study:

• To investigate the relationship between response times (RTs), attentional control, and neural activity in the frontoparietal network and default-mode network (DMN).
• To examine how the latency and magnitude of neural activation relate to behavioral performance variations.
• To propose a hypothesis on the optimal working mode of the frontoparietal attentional control system.

Main Methods:

• Functional magnetic resonance imaging (fMRI) during a visuospatial task with varying spatial scope.
• Analysis of response times (RTs) and corresponding neural activity patterns.
• Comparison of activation/deactivation patterns in frontoparietal and default-mode networks.

Main Results:

• Slower RTs were associated with larger attended spatial areas, indicating higher visuospatial attention demands.
• Within spatial levels, slower RTs correlated with higher but delayed frontoparietal network activation and DMN deactivation.
• Neural activity height and latency in frontoparietal and DMN were dynamically linked, despite their anti-correlation in magnitude.

Conclusions:

• Within-level variations in attentional control correspond to dynamic changes in frontoparietal and DMN activity, affecting both magnitude and timing.
• The frontoparietal and DMN exhibit tight temporal coupling despite opposing activity magnitudes.
• Optimal attentional control may be achieved by early, rather than solely high, frontoparietal network activation.