Parkinson’s disease (PD) is a progressive neurodegenerative disorder affecting the basal ganglia and resulting in motor symptoms such as bradykinesia, rigidity, and tremor. Among its most disabling manifestations, freezing of gait (FoG) is characterized by brief episodes of gait arrest despite the intention to move, thus significantly increasing fall risk and compromising patients’ autonomy. Its pathophysiology remains unclear, involving disrupted cortical-subcortical communication and impaired motor control. The transient and context-dependent nature of FoG makes objective, multimodal assessments essential to improve its characterization and clinical management. This study aims to investigate FoG in PD using a multimodal design in which fNIRS, electromyography (EMG), and inertial measurement units (IMU) are equally valued and synchronously acquired.