Title:Targeting Vascular Neural Network in Intracerebral Hemorrhage
Volume: 23
Issue: 15
Author(s): Yi Yin, Hongfei Ge, John H. Zhang*Hua Feng*
Affiliation:
- Department of Physiology and Pharmacology, Loma Linda University, 11041 Campus Street, Risley Hall, Room 219, Loma Linda, CA 92350,United States
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, 38 Gaotanyan Street, Chongqing 400038,China
Keywords:
Intracerebral hemorrhage, vascular neural network, hematoma expansion, perihematomal edema, venous system, stroke pathophysiology.
Abstract: Background: Intracerebral hemorrhage (ICH) is a common type of stroke associated with high mortality
and morbidity. Recent randomized controlled trials could not prove that the current strategies are effective at
improving the final outcome of the ICH patients.
Methods: Here we want to explore potential intervention targets for ICH based on the framework of the vascular
neural network (VNN). In this review, a brief history of the evolution of stroke pathophysiology from humoral
theory to VNN is discussed.
Results: As current literature on pathophysiology of ICH is mainly focused on neuroprotection, here we want to
evolve the central paradigm towards VNN. We stress mechanisms of vascular disruption and impaired blood flow
harmony, which are clinically relevant but have received less attention in basic research.
Conclusion: We propose that VNN could be a robust and practical paradigm in both ICH basic research and
clinical practice.
