Brain imaging in Alzheimer disease.

By Keith A. Johnson, Nick C Fox, Reisa A. Sperling, William E. Klunk. Cold Spring Harbor Perspectives in Medicine, 2012

826 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Physiology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/f5cb83544676bf9aeb944fda88b32a00e86129b2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Anima Anandkumar
2. Kaixiang Lin
3. Zachary Chase Lipton

In Physiology

1. Kaixiang Lin

In Psychiatry and Mental health

1. Kaixiang Lin

Citations in the corpus

• Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation (2018, background): “Brain imaging, such as the structural magnetic resonance imaging (MRI), was shown to contain prime markers of AD, capturing the physiologic changes in the AD pathological process [16, 21].”
• Tensor Regression Networks (2017, background): “A major challenge in neuroscience and healthcare is analysing structure-rich data, such as 3D brain scans (Mills and Tamnes, 2014; Johnson et al., 2012).”
• Diagnosis of Early Alzheimer's Disease: Clinical Practice in 2021 (2021, neutral): “Fluorodeoxyglucose-PET (FDG-PET) is a useful structural imaging biomarker that can support an early and differential diagnosis (72); however, specialists usually prefer to use this after their initial diagnostic work-up.”