In this paper we propose a novel approach for remote speckle-based sensing of mechanical vibrations in the Hirudo medicinalis leech central nervous system (CNS) connective tissue. Using this method, spontaneous vibrations generated at the connective tissue following partial cut injury are continuously and remotely monitored. A laser beam illuminates the connective tissue and back scattered defocused patterns at the far field are captured by the camera. The spatialtemporal spontaneous vibrations of the connective are monitored by tracking the speckle spatial-temporal trajectory. After applying correlation-based analysis we were able to detect these vibrations of the connective tissue during recovery with respect to control measurements. This approach is the first step towards understanding the possible involvement of the tissue movements for the recovering process via mechanical vibrations sensing of the leech CNS connective tissue.