Data collection of the brain's physiological functions is growing exponentially as technological advances make neuroimaging more feasible to conduct. Currently, Functional Near- Infrared Spectroscopy (fNIRS) is one of the ways to image the brain's functions. fNIRS are a portable and non-invasive method of diffusing near-infrared light throughout the scalp and brain to detect areas of activity occurring in the brain. When a patient is being observed with fNIRS, the patient can only make minor movements to reduce motion artifact levels in the fNIRS signal to ensure liability and repeatability to reduce the creation of motion artifacts in the data collection process. The need for understanding what movements of the head cause motion artifacts to develop is necessary to innovate a device capable of collecting data while the patient is moving. To determine what motion of the brain within the skull causes artifacts, a model to experience different kinds of forces must be made and validated. To model the brain's movement in the skull, MSC Apex and MSC NASTRAN are being used to create a finite element model (FEM) to undergo finite element analysis (FEA). The FEM went through iterations of a single, solid sphere representing the brain to a hollow sphere, the skull, with a smaller sphere inside, the brain, with a layer in between the two to represent cerebrospinal fluid. Creating an FEM of the skull and brain will show how much force the skull can withstand before the brain begins to deform, leading to motion artifacts. The FEM models are on course to be validated by NIAR's Displacement Field Measurement Rig with 3D phantoms. The 3D phantoms will progress methodically from a cube to a sphere to ensure the accurate data between our 3D phantom and literature.