We consider the n × n reverse circulant and symmetric circulant random matrices with independent Brownian motion entries. With polynomial test functions ϕ, we discuss the joint fluctuation and tightness (in t and ϕ) of the time dependent linear eigenvalue statistics of these matrices as n → ∞ and show convergence to appropriate Gaussian processes. The proofs are mainly combinatorial.