Internally directed cognition and mindfulness: an integrative perspective derived from predictive and reactive...

Area of Science:

• Neuroscience
• Cognitive Science
• Psychology

Background:

• Competing theories exist regarding the neural substrates of awareness, particularly involving the default mode network (DMN) and anterior insula (AI).
• The DMN is linked to self-reflective awareness and prospection, while the AI is associated with task-related attention and interoceptive awareness.
• Understanding the distinct roles of these networks is crucial for explaining different qualities of conscious experience.

Purpose of the Study:

• To present the predictive and reactive control systems (PARCS) theory as an integrative framework for understanding awareness.
• To elucidate how the DMN and AI contribute to distinct control systems underlying different mental states.
• To explain the neural basis of shifts between self-reflective and present-moment awareness.

Main Methods:

• Theoretical application of the PARCS framework.
• Integration of existing neuroscientific and psychological theories on awareness, DMN, and AI function.
• Conceptual analysis of mental state shifts in relation to control system dominance.

Main Results:

• PARCS integrates competing awareness theories by assigning distinct roles to the DMN and AI within separate control systems.
• The theory explains shifts between self-reflection (DMN-dominant) and present-moment awareness (AI-dominant) based on control system dominance.
• PARCS links mental state characteristics (temporal/spatial focus, perspective) to brain states (DMN activation, hemispheric asymmetry).

Conclusions:

• PARCS provides a unified framework for understanding diverse mental states, including mindfulness, mind wandering, and self-experience.
• The theory deepens the understanding of the relationship between brain states and subjective conscious experience.
• PARCS offers insights into how novel information is integrated and a continuous personal context is maintained.