Neural Mechanisms of Habitual Behavior and the Potential Applications of BCIs

Habits are fundamental to human behavior, enhancing efficiency through repeated procedural responses. However, such automaticity can become maladaptive when behavioral flexibility declines. Dysfunctional habit circuits have been linked to addiction, obsessive-compulsive disorder (OCD), and repetitive behaviors in autism spectrum disorder (ASD). These findings underscore the need for a mechanistic understanding of habit-related neural dynamics and precise interventions. This paper presents a literature review of the neural mechanisms underlying habitual behavior, emphasizing current and emerging applications of braincomputer interfaces (BCIs), particularly closed-loop BCIs (CLBCIs), in the investigation and modulation of habitual control. The review identifies two core points: traditional models tend to oversimplify cortico-striatal dynamics, while newer BCI technologies may support more precise investigation. By discussing how BCIs address longstanding methodological gaps, this review highlights their potential for real-time modulation of habit-related circuits. While challenges remain in signal quality, regional integration, and biocompatibility, BCIs hold clear promise for advancing both neuroscience and clinical intervention.