Spatiotemporal neurodynamics underlying internally and externally driven temporal prediction: a high spatial...

Area of Science:

• Cognitive Neuroscience
• Neurophysiology
• Human Brain Research

Background:

• Temporal prediction (TP) is a crucial cognitive function for navigating the future.
• TP relies on distinct internal or external information, engaging varied neural mechanisms.
• Understanding these distinct mechanisms is key to comprehending future-oriented cognition.

Purpose of the Study:

• To investigate and differentiate the specific brain mechanisms underlying internally and externally driven TP.
• To identify unique electrophysiological signatures associated with each type of TP.
• To map the distinct neural networks engaged during internal versus external TP.

Main Methods:

• Developed a novel experimental paradigm to elicit and compare externally and internally driven TP.
• Utilized high-resolution electrophysiological data arrays.
• Applied distributed source reconstruction modeling to analyze brain activity.

Main Results:

• Identified distinct spatiotemporal electroencephalography (EEG) event-related potential (ERP) signatures for each TP type.
• Observed significant modulation of contingent negative variation (CNV) in external TP contexts.
• Found significant frontal late sustained positivity (LSP) in internal TP contexts.
• Demonstrated engagement of a left sensorimotor network for external TP.
• Showed engagement of a prefrontal network for internal TP.

Conclusions:

• Internally and externally driven temporal prediction engage distinct neural networks and electrophysiological patterns.
• The findings provide novel insights into the neural basis of cognitive flexibility in future-oriented processing.
• This research advances our understanding of how the brain manages uncertainty through predictive mechanisms.