Prashanthi Vemuri spends much of his time researching Alzheimer's disease, Pathology, Dementia, Internal medicine and Neuroscience. Prashanthi Vemuri has included themes like Effects of sleep deprivation on cognitive performance, Neuroimaging, Apolipoprotein E, Atrophy and Amyloidosis in his Alzheimer's disease study. His research integrates issues of Biomarker, Positron emission tomography and Stage in his study of Pathology.
His biological study spans a wide range of topics, including Cerebrospinal fluid, Pathophysiology and Tauopathy. Prashanthi Vemuri focuses mostly in the field of Dementia, narrowing it down to topics relating to Gerontology and, in certain cases, Psychosocial, Incidence and Psychological intervention. His biological study spans a wide range of topics, including Oncology and Cardiology.
His primary areas of study are Internal medicine, Pathology, Dementia, Alzheimer's disease and Disease. His Internal medicine research integrates issues from Neuroimaging, Oncology and Cardiology. His studies in Pathology integrate themes in fields like Positron emission tomography and Magnetic resonance imaging.
Prashanthi Vemuri combines subjects such as Cohort study, Cognition and Gerontology with his study of Dementia. His Alzheimer's disease research includes elements of Standardized uptake value, Cohort and Amyloidosis. In most of his Disease studies, his work intersects topics such as Neuroscience.
Prashanthi Vemuri mainly investigates Internal medicine, Dementia, Neuroimaging, Cognitive decline and Cognition. His Internal medicine study focuses on Alzheimer's disease in particular. Prashanthi Vemuri has researched Alzheimer's disease in several fields, including Entorhinal cortex, Cognitive impairment and Confidence interval.
Disease covers Prashanthi Vemuri research in Dementia. His Cognitive decline study combines topics from a wide range of disciplines, such as White matter, Atrophy, Neuropsychology and Amyloidosis. His work in Magnetic resonance imaging addresses issues such as Pathology, which are connected to fields such as High plasma.
His scientific interests lie mostly in Internal medicine, Dementia, Alzheimer's disease, Cognitive reserve and Cognition. His work deals with themes such as Standardized uptake value, Magnetic resonance imaging and Oncology, which intersect with Internal medicine. His studies deal with areas such as Apolipoprotein E, Amyloid and Amyloidosis as well as Oncology.
His Dementia study is concerned with Disease in general. His research in Alzheimer's disease intersects with topics in Entorhinal cortex and Confidence interval. His study on Posterior cingulate is often connected to Association as part of broader study in Cognition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.
Clifford R Jack;David S Knopman;William J Jagust;Ronald C Petersen.
Lancet Neurology (2013)
Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences
Michelle M Mielke;Prashanthi Vemuri;Walter A Rocca.
Clinical Epidemiology (2014)
An operational approach to National Institute on Aging–Alzheimer's Association criteria for preclinical Alzheimer disease
Clifford R. Jack;David S. Knopman;Stephen D. Weigand;Heather J. Wiste.
Annals of Neurology (2012)
Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis
Y. Iturria-Medina;R. C. Sotero;P. J. Toussaint;J. M. Mateos-Pérez.
Nature Communications (2016)
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
Prashanthi Vemuri;Jeffrey L. Gunter;Matthew L. Senjem;Jennifer L. Whitwell.
NeuroImage (2008)
Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer’s disease
Clifford R. Jack;Heather J. Wiste;Prashanthi Vemuri;Stephen D. Weigand.
Brain (2010)
MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change.
P. Vemuri;H. J. Wiste;S. D. Weigand;L. M. Shaw.
Neurology (2009)
MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study.
J. L. Whitwell;K. A. Josephs;M. E. Murray;K. Kantarci.
Neurology (2008)
Characterization of frontotemporal dementia and/or amyotrophic lateral sclerosis associated with the GGGGCC repeat expansion in C9ORF72
Bradley F. Boeve;Kevin B. Boylan;Neill R. Graff-Radford;Mariely DeJesus-Hernandez.
Brain (2012)
Non-Stationarity in the ``Resting Brain's'' Modular Architecture
David T. Jones;Prashanthi Vemuri;Matthew C. Murphy;Jeffrey L. Gunter.
PLOS ONE (2012)
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