katelyn arnemann

I am currently a PhD candidate in neuroscience at UC Berkeley. My PhD thesis research is with the Jagust Lab, where I study human aging and Alzheimer's disease from a network-framework using MRI and PET neuroimaging.


spatiotemporal properties of Alzheimer's disease progression

Alzheimer's disease pathology and atrophy follow characteristic spatiotemporal patterns. In a series of projects, I seek to explain these spatiotemporal patterns using properties of brain function in early-life.

early-life metabolic inefficiency explains topology of amyloid-beta

I derive a novel metric, "metabolic inefficiency" based on glucose metabolism and functional connectivity in early-life. I find that metabolic inefficiency, not hubs, explains the topology of amyloid-beta in cognitively normal older adults.

spread of amyloid-beta through the young functional MST

I explore the ability of the structure of the minimum spanning tree, extracted from the young functional brain network, to explain the spread of amyloid-beta. We find that amyloid-beta appears to originate in multiple epicenters and spread to neighboring brain areas.

metabolic brain networks

I examine the covariance of glucose metabolism across individuals to define metabolic brain networks at the group-level. I find that older adults exhibit widespread elevations of metabolic correlation strength, consistent with desegregation of brain networks in old age. This pattern was reduced in those older adults at high risk for Alzheimer's disease.

*Arnemann KL*, Stober F, Narayan S, Rabinovici GD, Jagust WJ, 2017. Metabolic brain networks in aging and preclinical Alzheimer's disease. NeuroImage: Clinical 17, 987-999. pdf