Diffusion tensor imaging in Alzheimer's disease: insights into the limbic-diencephalic network and methodological considerations

被引:87
作者
Acosta-Cabronero, Julio [1 ]
Nestor, Peter J. [1 ]
机构
[1] German Ctr Neurodegenerat Dis DZNE, Brain Plast & Neurodegenerat Grp, Magdeburg, Germany
关键词
neurodegenerative diseases; Alzheimer's disease neurobiology; axonal loss; circuit of Papez; long association tracts; splenium; DTI criteria; Alzheimer's disease biomarkers; MILD COGNITIVE IMPAIRMENT; MATTER TRACT INTEGRITY; SURFACE-BASED ANALYSIS; WHITE-MATTER; WATER DIFFUSION; METABOLIC REDUCTION; MRI; REGISTRATION; MATHEMATICS; CORTEX;
D O I
10.3389/fnagi.2014.00266
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Glucose hypometabolism and gray matter atrophy are well known consequences of Alzheimer's disease (AD). Studies using these measures have shown that the earliest clinical stages, in which memory impairment is a relatively isolated feature, are associated with degeneration in an apparently remote group of areas-mesial temporal lobe (MTL), diencephalic structures such as anterior thalamus and mammillary bodies, and posterior cingulate. These sites are thought to be strongly anatomically inter-connected via a limbic-diencephalic network. Diffusion tensor imaging or DTI-an imaging technique capable of probing white matter tissue microstructure-has recently confirmed degeneration of the white matter connections of the limbic-diencephalic network in AD by way of an unbiased analysis strategy known as tract-based spatial statistics (TBSS). The present review contextualizes the relevance of these findings, in which the fornix is likely to play a fundamental role in linking MTL and diencephalon. An interesting by-product of this work has been in showing that alterations in diffusion behavior are complex in AD-while early studies tended to focus on fractional anisotropy, recent work has highlighted that this measure is not the most sensitive to early changes. Finally, this review will discuss in detail several technical aspects of DTI both in terms of image acquisition and TBSS analysis as both of these factors have important implications to ensure reliable observations are made that inform understanding of neurodegenerative diseases.
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