David Heister

TL;DR: In this paper, the ability of clinically available volumetric MRI (vMRI) and CSF biomarkers, alone or in combination with a quantitative learning measure, to predict conversion to Alzheimer disease (AD) in patients with mild cognitive impairment (MCI).

TL;DR: A new automated MEG low-frequency source imaging method is developed and applied in 45 patients with mild TBI from combat-related blasts and 10 moderate TBI patients (non-blast causes), suggesting possible protective effects due to the military helmet and armor.

TL;DR: The present study developed a fast MEG source imaging technique using a L1-minimum-norm (Fast-VESTAL) and then used the method to obtain the source amplitude images of resting-state magnetoencephalography (MEG) signals for different frequency bands and demonstrated that this method easily distinguished sources in the entire somatosensory network.

TL;DR: This is the first investigation that has found that changes in resting state electromagnetic neural patterns are highly associated with verbal working memory performance and an SVD of the most associated zECO measures produces a composite resting state metric of regional neural oscillatory power that has an improved association with WM performance.

TL;DR: These data provide metrics of current and historical awareness trends in IR, which demonstrate low patient and public awareness, which may help guide future efforts to promote patient andPublic awareness of IR.