For　space-varying　reaction-diffusion　neural　networks　(RDNNs),　this　article　mainly　studies　the　output　synchronization　via　an　event-triggered　sampled-data　(ETSD)　control　under　spatially　point　measurements　(SPMs)　with　random　packet　losses.　To　reduce　the　communication　burden,　an　ETSD　control　scheme　is　adopted　to　decrease　the　unnecessary　SD　and　the　update　frequency　of　the　controller.　Meanwhile,　the　prob-lem　of　random　packet　losses　in　the　communication　channels　from　controller　to　actuator　is　considered.　Some　synchronization　criteria　based　on　spatial　linear　matrix　inequalities　(SLMIs)　are　established　through　an　ETSD　controller　under　SPMs　with　random　packet　losses　to　guarantee　the　mean　square　exponential　sta-bility　of　synchronization　error　system　with　drive　and　response　dynamics　via　utilizing　inequality　tech-niques　and　Lyapunov　functional.　Furthermore,　we　express　SLMIs　as　LMIs　for　solving　the　ETSD　control　design　problem　for　output　synchronization　of　space-varying　RDNNs.　Finally,　the　effectiveness　of　the　pro-posed　method　is　demonstrated　by　one　numerical　example.(c)　2022　Elsevier　B.V.　All　rights　reserved.