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Long Xie

Researcher at University of Pennsylvania

Publications -  73
Citations -  1722

Long Xie is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Medicine & Temporal lobe. The author has an hindex of 15, co-authored 54 publications receiving 1037 citations. Previous affiliations of Long Xie include Hospital of the University of Pennsylvania.

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Automated Volumetry and Regional Thickness Analysis of Hippocampal Subfields and Medial Temporal Cortical Structures in Mild Cognitive Impairment

TL;DR: Thickness analysis results are consistent with volumetry, but provide additional regional specificity and suggest nonuniformity in the effects of aMCI on hippocampal subfields and MTL cortical subregions.
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Effects of the Insulin Sensitizer Metformin in Alzheimer Disease: Pilot Data From a Randomized Placebo-controlled Crossover Study.

TL;DR: Metformin was associated with improved executive functioning, and trends suggested improvement in learning/memory and attention, and post hoc completer analyses suggested an increase in orbitofrontal cerebral blood flow with metformin exposure.
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Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.

TL;DR: High-resolution ex vivo MRI scans of 31 human hippocampal specimens are combined using a groupwise diffeomorphic registration approach into a 3D probabilistic atlas that captures average anatomy and anatomic variability of hippocampal subfields, finding three-dimensional patterns of variability and disease and aging effects discovered via the ex vivo hippocampus atlas.
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A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI.

TL;DR: This study presents a fine-grained and comprehensive segmentation protocol for MTL structures at 7 T MRI that closely follows recent knowledge from anatomical studies and provides detailed instructions alongside slice-by-slice segmentations to ease learning for the untrained but also more experienced raters.