neuroscience statistics

Hello everyone, I’m currently planning the analysis model for my master’s thesis, but I’m not entirely sure which type of GLM (General Linear Model) to choose. My supervisor is quite busy, so I haven’t had much guidance on this. If there are any one around who would be willing to help, that would be great

The issue is as follows: I need to identify relevant activity in the cortex, but I’m working with around 53 carrier frequencies (CF) and 13 amplitude frequencies (AM), while analysing approximately 30,000 voxels. How could I organise this mathematically to assess whether there is, for example, a relationship between high CF with high AM, high CF with low AM, low CF with high AM, and low CF with low AM?

Does anyone have suggestions on how you would structure this within a General Linear Model framework?