Supplement: Topological bridges between circuits, models, and behavior

NIH RePORTER · NIH · RF1 · $408,101 · view on reporter.nih.gov ↗

Abstract

Project summary (for this supplement) The goal of our parent grant (R01NS121913) is to use novel mathematical methods derived from algebraic topology to uncover the relationship between cognition, behavior, and populations of neurons in sensory and parietal cortex. Alzheimer’s disease (AD) affects many of the visual and cognitive functions that are the focus of our basic science efforts, but the way affects neural populations is completely unexplored. Doing so has the potential to transform the way AD is diagnosed and treated, because neural changes can suggest specific behaviors that distinguish AD from related dementias or treatments that, for example, affect the coordinated activity of neural populations in different brain areas (which is a function of stimulants that are used to treat other neuropsychiatric disorders). Previous studies of AD have focused almost exclusively on anatomical or microscopic experiments in animal models or in postmortem human tissue or on difficult to control behavioral experiments in human patients, neither of which are good candidate for a neural population approach. Our collaborator, John Morrison at the California Primate Center, has developed a potentially revolutionary monkey model of AD, in which disease progression is induced by injecting double-mutant human tau into entorhinal cortex. This creates a remarkably similar progression of pathological disruption as does AD in humans. Of particular interest is that this model shows microscopic changes in visual and parietal areas during a 3-6 month period, which leads to our hypothesis that the neural and behavioral signatures of visual perception and cognition that study in the parent project will be affected in this monkey model. This model provides an unprecedented opportunity to study the onset and progression of AD in a model organism whose brain and visuospatial behavior is more similar to humans than other existing models. We propose to record longitudinally from groups of neurons in three brain areas (visual areas V1, V4, and parietal area 7a) before and during disease progression. We will develop and use a simple but flexible visual foraging task that allows us to measure and manipulate many aspects of vision and cognition. These studies have great potential for understanding the behavioral and neurophysiological changes that occur during AD progression, and to lead to tools for early diagnosis and treatment of human patients. They will also inform and enhance the basic science goals of our parent project by further constraining models and informing mechanistic predictions that can be tested using a variety of methods in monkeys, mice, and models.

Key facts

NIH application ID
10499278
Project number
3RF1NS121913-01S1
Recipient
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
Principal Investigator
Marlene Rochelle Cohen
Activity code
RF1
Funding institute
NIH
Fiscal year
2022
Award amount
$408,101
Award type
3
Project period
2021-05-01 → 2024-04-30