IC‐P2‐074: Differentiating amnestic MCI converting to probable AD from stable amnestic MCI using FDG‐PET and an AD‐related hypometabolism overlap index

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152594/1/alzjjalz200805067.pd

Rule-Based Cell Systems Model of Aging using Feedback Loop Motifs Mediated by Stress Responses

Investigating the complex systems dynamics of the aging process requires integration of a broad range of cellular processes describing damage and functional decline co-existing with adaptive and protective regulatory mechanisms. We evolve an integrated generic cell network to represent the connectivity of key cellular mechanisms structured into positive and negative feedback loop motifs centrally important for aging. The conceptual network is casted into a fuzzy-logic, hybrid-intelligent framework based on interaction rules assembled from a priori knowledge. Based upon a classical homeostatic representation of cellular energy metabolism, we first demonstrate how positive-feedback loops accelerate damage and decline consistent with a vicious cycle. This model is iteratively extended towards an adaptive response model by incorporating protective negative-feedback loop circuits. Time-lapse simulations of the adaptive response model uncover how transcriptional and translational changes, mediated by stress sensors NF-κB and mTOR, counteract accumulating damage and dysfunction by modulating mitochondrial respiration, metabolic fluxes, biosynthesis, and autophagy, crucial for cellular survival. The model allows consideration of lifespan optimization scenarios with respect to fitness criteria using a sensitivity analysis. Our work establishes a novel extendable and scalable computational approach capable to connect tractable molecular mechanisms with cellular network dynamics underlying the emerging aging phenotype

JOCTAK, Joint Operations Center Tactical Assault Kit

Defense Analysis PosterThe Joint Operations Center Tactical Assault Kit (JOCTAK), is a windows-based software program that allows enhanced mission command. Its ability to aggregate and display the various data and information streams in a JOC allows flattened communications with the operational headquarters and interdepartmental interagency organizations.USSOCOM SOMPE, CTTS

JOCTAK Joint Operations Center Tactical Assault Kit

Defense Analysis PosterUSSOCOM SOMPE, CTTS

P1‐338: The consistency of hypometabolic brain voxels in probable Alzheimer’s disease and amnestic mild cognitive impairment patients from the Alzheimer’s disease neuroimaging initiative

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152904/1/alzjjalz200805919.pd

O1–04–05: Six‐month cerebral metabolic declines in Alzheimer’s disease, amnestic mild cognitive impairment and elderly normal control groups: Preliminary findings from the Alzheimer’s disease neuroimaging initiative

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152688/1/alzjjalz200704081.pd

P1‐312: Differentiating amnestic mild cognitive impairment converting to probable Alzheimer’s disease from stable amnestic mild cognitive impairment using FDG‐PET and an Alzheimer’s disease‐related hypometabolism overlap index

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152471/1/alzjjalz200805903.pd

The Alzheimer’s Disease Neuroimaging Initiative positron emission tomography core

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152766/1/alzjjalz201003003.pd

IC‐P2‐128: Twelve‐month cerebral metabolic declines in probable Alzheimer’s disease and amnestic mild cognitive impairment: Preliminary findings from the Alzheimer’s disease neuroimaging initiative

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152696/1/alzjjalz2008052583.pd

O1‐02–06: Twelve‐month cerebral metabolic declines in probable Alzheimer’s disease and amnestic mild cognitive impairment: Preliminary findings from the Alzheimer’s disease neuroimaging initiative (ADNI)

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153255/1/alzjjalz200805225.pd