Fang Ji1, Ofer Pasternak2, Yng Miin Loke1, Saima Hilal3,4, Mohammad Kamran Ikram1, Xin Xu3,4, Boon Yeow Tan5, Narayanaswamy Venketasubramanian6, Christopher Li-Hsian Chen3,4, and Juan Zhou1,4
1Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, 2Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, USA, Boston, MD, United States, 3Department of Pharmacology, National University Health System, Clinical Research Centre, Singapore, Singapore, 4Memory Aging & Cognition Centre, National University Health System, Singapore, Singapore, 5St. Luke’s Hospital, Singapore, Singapore, 6Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore
Synopsis
Using a novel free-water method, we examined the white matter tissue deterioration
and extracellular water content changes in Alzheimer’s disease with and without
cerebrovascular disease and vascular dementia. We found that free-water and white matter
hyperintensity (WMH) were highly correlated; both might reflect neuroinflammation in
dementia. After correcting for increased extracellular water, the degree and extent
of white matter integrity decreased in dementia subtypes; nevertheless, the
cortical difference between groups remained. Intriguingly, free water
compartment (but not WMH volume) was associated with symptom severity. Our
findings suggested the potential of free-water method in differential diagnosis
and disease progression monitoring. Purpose:
Patients with dementia including Alzheimer’s disease (AD) and vascular dementia
(VaD) have both white matter tissue deterioration derived from diffusion
tensor imaging (DTI) (1) and increased
extracellular water content based on fluid-attenuated inversion-recovery (FLAIR) (2). However, the role of these
abnormalities in the etiology of dementia subtypes, particularly with and
without cerebrovascular disease (CVD), is not well understood (3). Free-water imaging
is a novel analysis method to differentiate the water compartment in the extracellular
space from the tissue compartment in a voxel-based manner using DTI data (4). Currently,water and tissue
compartment abnormalities in dementia patients especially these with CVD are largely
unknown. In addition, the associations between the two compartments and
cognitive performance remain unclear.
To fill these gaps, our aims
are: 1) to examine the region-specific changes of water and tissue
compartments in three dementia subtypes (AD, AD with CVD, and VaD) by applying
free-water method on DTI data; 2) to evaluate the spatial similarity between
the degree of increased extracellular water derived from FLAIR And DTI data; 3)
to examine the associations between water and tissue compartments and symptom
severity in the three dementia groups.
Methods:
T1-weighted structural MRI, FLAIR and DTI of 41 AD,
42 AD with CVD (AD +CVD), 19 VaD, and 60 controls (no cognitive impairment
without CVD) was collected at NUS (Siemens, 3Tesla, Tim Trio). White matter hyperintensity (WMH)
were obtained for each subject from FLAIR imaging using an in-house
automatic segmentation procedure (5). The DTI data
were preprocessed by FSL (http://www.fmrib.ox.ac.uk/fsl). Then, we
applied tract-based spatial statistics (6) to carry out
a voxel-wise analysis of DTI data within major white matter pathways throughout
the whole brain. Each participant's aligned fractional anisotropy (FA) data
were then projected onto the skeleton, resulting in subject-level skeletonized FA
images. Free-water method was applied to differentiate the free-water
compartment (FW) and tissue compartment (FA
T) from each subject (Pasternak et al., 2009). Correlations between
the WMH percentage and mean free-water value in each white matter tract were
calculated. Their associations with dementia severity (Clinical Dementia Rating
sum of boxes) were evaluated using a generalized linear model, controlling for age,
gender, handedness and ethnicity.
Results and Discussion:
AD, AD+CVD, and VaD had a reduction
in FA compared to healthy controls (thresholded at p < 0.005, TFCE corrected).
AD+CVD and VaD
had more wide spread FA reduction than AD. Moreover, after regressing out the
total volume of WMH,
the observed FA reductions in AD+CVD and VaD groups were
largely decreased (Fig.1). Considering the higher WMH volume in AD+CVD and VaD
compared to AD, our findings suggested that WMH might contribute to the
deterioration of white matter integrity (i.e. FA reduction).
Compared to the FA values without
free-water modeling, there was less deterioration of the tissue compartment (FAT)
in the three dementia groups. In parallel, there was less tissue damage
difference between AD+CVD/VaD and AD (mainly cortical region, sparing the subcortical
regions), compared to the original FA without free-water modeling (Fig.2). These
findings suggested that the original FA might overestimate the tissue damage,
part of which might be due to increased extracellular water. Tissue compartment
(FAT) rather than FA might better indicate the actual tissue damage in
disease (4).
Moreover, consistent
with WMH volume differences, AD, AD+CVD, and VaD had greater
free-water than health controls while AD+CVD and VaD had greater
free-water than AD. Mean free-water values (averaged across all WM voxels) correlated
positively with total WMH volume across all subjects (r=0.58, p<0.01). Our
findings suggested that free-water and WMH might reflect a similar pathology,
possibly neuroinflammation in dementia.
Lastly, we found that mean free-water value
was associated with dementia severity across all dementia patients (r=0.31,
p<0.01). No associations with dementia severity were detected for total WMH volume
(r=0.11, p=0.28).
Conclusion:
With free-water modeling, region-specific and less
severe (compared to the tradition method) tissue compartment damage was
detected in dementia groups (especially for AD+CVD and VaD). The degree of
free-water increase was associated with WMH volume; more importantly, it
correlated with dementia severity in patients. Our findings suggested the
potential of free-water method in differential diagnosis and disease progression
monitoring.
Acknowledgements
This work was supported by an NMRC Centre Grant (NMRC/CG/013/2013
and NMRC/CG/NUHS/2010 to CC), the
Biomedical Research Council, Singapore (BMRC 04/1/36/372 to JZ), the National
Medical Research Council, Singapore (NMRC/CIRG/1390/2014 to
JZ), and Duke-NUS Graduate Medical School Signature Research Program funded by
Ministry of Health, Singapore. References
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