In the course of its normal function, the brain produces toxic substances that accumulate and are transported from the space between brain cells. If these substances are not cleared, their accumulation is thought to yield crippling results such as Alzheimer's disease and migraines. The mechanics of this clearance is poorly understood, so this research project aim to study and characterize this process. Experimental techniques and computational approaches are being combined to produce a predictive clearance model based on fundamental mechanics principles of fluid flow and diffusion. The experimental study is being conducted in vivo, which will allow for a physiologically-relevant match between brain function and the corresponding deformation of brain tissue and the associated flow of the fluid in-between cells. This study is relevant for advancing the state of the art in neurophysiology and for future development of therapeutic interventions, both pharmacological and surgical, for addressing pathologies including Alzheimer's disease, hydrocephalus, and migraine. This project has an educational component aiming at training graduate and undergraduate students in advanced neuroscience research and in biomedical engineering. Specifically, the researchers and developing and offering a level-appropriate laboratory and computational projects for undergraduates with a focus on the merging of experimental techniques and mechanics in neuroscience.

This project focuses on delivering the first mechanics-based model of the effects of neurovasculature coupling on transport in the brain. A theoretical and computational framework is being created to model multiple concurrent transport mechanisms in a computational framework that integrates empirical in vivo observations of the brain micromechanical neurovascular response to chosen stimuli. The biomedical problem motivating the proposed research is the comparative assessment of convective and diffusive mechanisms for toxic metabolite clearance from the brain interstitium. Buildup of these compounds can be strongly neurotoxic and can trigger neuronal functional instabilities with severe, if not lethal, consequences---from spreading depolarization to epilepsy to Alzheimer's disease to mental illnesses. While vital for brain function, metabolite transport and clearance remains poorly understood. The specific project goals are: 1) To model brain tissue as a deformable porous medium with embedded vasculature, and to apply a numerical scheme developed by the PIs for predicting transport driven by blood vasodilation; 2) To identify sets of relevant physiological conditions from the experiments, and, from these, to define corresponding metabolite transport boundary value problems. Pulsation (heart-gated blood vessel dilation) and functional hyperemia (neurovascular coupling driven vessel dilation) will be considered. Anatomical, material, and loading parameters will be inferred using in vivo two-photon microscopy in the brains of living mice with cranial windows. Fluorescence-based digital image correlation will deliver microscale deformation maps of brain tissue. Fluid flow in the brain will be visualized by infusing fluorescent dyes; 3) To numerically solve the problems in goal 2 to determine interstitial fluid flow and metabolite transport through deformable tissue with convection and diffusion as concurrent mechanisms. Ranges of physiological conditions and constitutive parameters are being tested, and fluid-structure interaction between tissue and fluid-filled paravascular space are being explicitly modeled. The high selectivity of the blood-brain barrier remains a major challenge in developing effective drug delivery methods for brain cancer, dementia, spreading depolarization, and epilepsy. By focusing on metabolite transport in brain, this research project will contribute to advancing pharmacological and surgical therapies for many brain pathologies.

Project Start
Project End
Budget Start
2017-09-01
Budget End
2021-08-31
Support Year
Fiscal Year
2017
Total Cost
$400,000
Indirect Cost
Name
Pennsylvania State University
Department
Type
DUNS #
City
University Park
State
PA
Country
United States
Zip Code
16802