Insight into differing decision-making strategies that underlie cognitively effort-based decision making using...

Area of Science:

• Neuroscience
• Cognitive Science
• Behavioral Economics

Background:

• The rat cognitive effort task (rCET) models cognitive effort, showing stable individual differences in choice behavior.
• Previous grouping of rats into 'workers' and 'slackers' lacked a robust, data-driven rationale.
• Understanding these individual variations is crucial for interpreting behavioral responses to challenges.

Purpose of the Study:

• To identify the underlying decision-making processes driving individual variation in the rat cognitive effort task.
• To refine the classification of behavioral phenotypes beyond simple 'worker' and 'slacker' groups.
• To re-evaluate pharmacological effects within a more nuanced, model-based framework.

Main Methods:

• Collated data from multiple rat cohorts performing the rCET.
• Employed a model-based framework integrating drift diffusion modeling and cluster analysis.
• Applied this framework to reanalyze existing pharmacological data.

Main Results:

• Identified distinct intra-group profiles within 'workers' and 'slackers', linked to attentional and decision-making phases.
• Demonstrated that serotonergic drug effects alter decision boundaries and non-decision times.
• Showed scopolamine's effects are driven by changes in decision starting points and evidence accumulation rates.

Conclusions:

• Decision-making processes associated with cognitive effort costs vary significantly across individuals.
• Neurotransmitter systems differentially impact effortful attention and decision-making, offering insights into mechanisms relevant to psychiatric disorders.
• A model-based approach provides a more precise understanding of behavioral variation and drug effects in cognitive tasks.