Network dynamics underlying speed-accuracy trade-offs in response to errors

Area of Science:

• Cognitive Neuroscience
• Neuroimaging
• Behavioral Science

Background:

• Adaptive behavior relies on dynamically adjusting performance based on task outcomes.
• The speed-accuracy trade-off (SATO) function describes how response speed changes after errors.
• Attentional shifts between internal and external processing may underlie these performance adjustments.

Purpose of the Study:

• To investigate if outcome-based SATOs reflect reciprocal changes in attention allocation.
• To examine the role of default mode network (DMN) and dorsal attention network (DAN) in SATOs.
• To determine if the posterior cingulate cortex (PCC) coordinates these network changes and if white matter integrity is crucial.

Main Methods:

• Functional magnetic resonance imaging (fMRI) to observe brain network activity around errors.
• Diffusion tensor imaging (DTI) to assess white matter integrity (fractional anisotropy) of the posterior cingulum bundle.
• Analysis of reaction times (RT) and network activation patterns in trials preceding, during, and following errors.

Main Results:

• Reaction times followed the SATO function predictions around errors.
• DMN activation was inversely correlated with RT, higher before errors, and maximal at the error.
• DAN (right intraparietal sulcus) activation was positively correlated with RT, lower before errors, and minimal at the error.
• Posterior cingulum bundle integrity correlated with the magnitude of reciprocal network activation changes.

Conclusions:

• Dynamic shifts in attention between internal and external processing in response to errors drive SATOs in reaction time.
• These attentional shifts and resulting performance adjustments are mediated by the posterior cingulate cortex.
• Structural integrity of white matter connections, particularly the posterior cingulum bundle, supports these neural mechanisms.