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Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging.

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TLDR
A quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy, and shows that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis.
Abstract
Here, we describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent quantitative estimate of MTV can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second, we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition.

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Journal ArticleDOI

The functional architecture of the ventral temporal cortex and its role in categorization.

TL;DR: It is proposed that efficient categorization is achieved by organizing representations in a nested spatial hierarchy in the VTC that serves as a neural infrastructure for the representational hierarchy of visual information in theVTC and thereby enables flexible access to category information at several levels of abstraction.
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Lifespan maturation and degeneration of human brain white matter.

TL;DR: Together, the time-courses of R1 and diffusion changes demonstrate that multiple biological processes drive changes in white matter tissue properties over the lifespan.
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Evaluation and statistical inference for human connectomes

TL;DR: Linear fascicle evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to quantify the prediction error.
Journal Article

Quantitative MRI of the brain—measuring changes caused by disease

TL;DR: Paul Tofts as mentioned in this paper has published a comprehensive book on magnetic resonance (MR) techniques that will appeal to the neurologist/neuroradiologist as well as the physicist and researcher.
References
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Journal ArticleDOI

Rating neurologic impairment in multiple sclerosis An expanded disability status scale (EDSS)

John F. Kurtzke
- 01 Nov 1983 - 
TL;DR: A new Expanded Disability Status Scale (EDSS) is presented, with each of the former steps (1,2,3 … 9) now divided into two (1.0, 1.5, 2.0 … 9).
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Cortical surface-based analysis. I. Segmentation and surface reconstruction

TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
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Voxel-Based Morphometry—The Methods

TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
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Measuring the thickness of the human cerebral cortex from magnetic resonance images

TL;DR: An automated method for accurately measuring the thickness of the cerebral cortex across the entire brain and for generating cross-subject statistics in a coordinate system based on cortical anatomy is presented.
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