Stroke is a leading cause of permanent disability worldwide. Even after adequate treatment, the majority of patients do not recover fully, making them dependent on others for carrying out Activities of Daily Living (ADL). An improved understanding of the underlying mechanism of plasticity will help us in customizing the translational approach for learning and rehabilitation following a stroke. For this study, a 2-minute resting state EEG data were recorded at 5 time-points for 3-months after stroke onset. Directed Transfer Function (DTF) was used to study neural reorganization for 3 months. DTF for different brain regions and sub-bands was correlated with FMA. The information flow was studied for different brain regions as well as Affected Region (AR). Occipital region showed good correlation (r = 0.45 to 0.47) with FMA. Contra-lesional and ipsi-lesional regions trajectories complement each other during acute and sub-acute phase. The information outflow vs inflow imbalance of AR was restored by the end of 3 months. DTF can be used as biomarker for studying neuroplasticity. Occipital, temporal and motor cortex regions play an important role during neuro-rehabilitation. The information about different regions during rehabilitation will help us in designing subject-specific interventions for better recovery.