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Christopher W. Tjoa

Researcher at State University of New York System

Publications -  16
Citations -  1430

Christopher W. Tjoa is an academic researcher from State University of New York System. The author has contributed to research in topics: Atrophy & Magnetic resonance imaging. The author has an hindex of 12, co-authored 14 publications receiving 1368 citations. Previous affiliations of Christopher W. Tjoa include University of Pennsylvania.

Papers
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Journal ArticleDOI

Prediction of Neuropsychological Impairment in Multiple Sclerosis Comparison of Conventional Magnetic Resonance Imaging Measures of Atrophy and Lesion Burden

TL;DR: Brain atrophy accounts for more variance than lesion burden in predicting cognitive impairment in MS, and central atrophy in particular is strongly associated with neuropsychological morbidity.
Journal ArticleDOI

T2 Hypointensity in the Deep Gray Matter of Patients With Multiple Sclerosis: A Quantitative Magnetic Resonance Imaging Study

TL;DR: Gray matter T2 hypointensity in MS is associated with brain atrophy and is a stronger predictor of disability and clinical course than are conventional MRI findings, and results suggest that pathologic iron deposition is a surrogate marker of the destructive disease process.
Journal ArticleDOI

Bicaudate ratio as a magnetic resonance imaging marker of brain atrophy in multiple sclerosis.

TL;DR: The bicaudate ratio (BCR) is increased in MS and is more closely associated with cognitive dysfunction than are other magnetic resonance imaging surrogate markers including whole-brain atrophy.
Book ChapterDOI

Psychiatric rating scales.

TL;DR: This chapter briefly review the development and psychometric characteristics of some of the most widely used psychiatric rating scales for depression, mania, generalized anxiety disorder, obsessive-compulsive disorder, schizophrenia, and dementia, as well as several of the common conditions in children and adolescents.
Journal ArticleDOI

A semiautomated measure of whole-brain atrophy in multiple sclerosis.

TL;DR: It is concluded that whole-brain atrophy in MS can be reliably and readily quantified by a semiautomated approach and longitudinal studies are warranted to determine if this method provides a sensitive biologic marker of the MS disease process.