Abstract

Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer’s disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics – fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter – the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia.Electronic supplementary materialThe online version of this article (doi:10.1007/s11682-015-9458-5) contains supplementary material, which is available to authorized users.

Highlights

  • Neuroimaging studies reveal white matter microstructural alterations in patients with dementia (Gold et al 2012; Mahoney et al 2014), including vascular infarcts, myelin breakdown, and progressive loss of axonal connectivity

  • From a methodological standpoint – simultaneous and proportional increases in MD, radial diffusivity (RD) and AX would leave FA relatively unchanged. If these changes are disproportional across widespread areas in the white matter, as we will see in behavioral variant frontotemporal dementia (bvFTD), FA changes too

  • We applied an advanced fiber clustering workflow that extracts 3D anatomical models of white matter tracts to differentiate between patients with bvFTD in contrast with age-matched early-onset Alzheimer’s disease (EOAD) patients and healthy elderly

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Summary

Introduction

Neuroimaging studies reveal white matter microstructural alterations in patients with dementia (Gold et al 2012; Mahoney et al 2014), including vascular infarcts, myelin breakdown, and progressive loss of axonal connectivity. Because of the interest in the source of behavioral symptoms, it is important to know which white matter tracts are affected in each classical subtype of dementia. Standard anatomical MRI provides insufficient contrast to distinguish white matter tracts and measure their integrity. Diffusion MRI has been added to major neuroimaging initiatives to better understand changes in white matter integrity and connectivity (Li et al 2013; Jin et al 2015; Zhan et al 2015)

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