Intention and foresight in deliberate actions: An ERP study

Read the full article See related articles

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

The distinction between intention and foresight is critical for law and morality. For example, a military officer deciding to bomb a target while foreseeing civilian casualties raises questions about whether these deaths were intended or merely foreseen. This study aimed to disentangle the neural correlates of intention and foresight using a novel paradigm. Twenty-five participants completed a task inspired by the game Frogger, where hitting objects could be desirable (earning points) or inconsequential. Outcomes varied by likelihood (high vs. low) and actuality (hit vs. miss), resulting in a 2×2×2 design: intention (present/absent) × outcome (hit/miss) × expectedness (expected/unexpected). Electroencephalography (EEG) revealed that feedback-related negativity (FRN) amplitude was larger when participants intended to hit objects, while the P3 potential increased for unexpected outcomes. However, neither signal exclusively reflected intention or foresight; the FRN also indexed expectedness, and the P3 reflected intention. To address this overlap, we used effect-matched spatial (EMS) filtering, which identified a widespread brain activity pattern that may better dissociate intention from foresight. These findings enhance our understanding of the neural processes underlying complex decision-making, with potential applications in ethical and legal frameworks.

Article activity feed