Abstract
Sporadic Creutzfeldt-Jakob disease is considered primarily a disease of grey matter, although the extent of white matter involvement has not been well described. We used diffusion tensor imaging to study the white matter in sporadic Creutzfeldt-Jakob disease compared to healthy control subjects and to correlated magnetic resonance imaging findings with histopathology. Twenty-six patients with sporadic Creutzfeldt-Jakob disease and nine age- and gender-matched healthy control subjects underwent volumetric T1-weighted and diffusion tensor imaging. Six patients had post-mortem brain analysis available for assessment of neuropathological findings associated with prion disease. Parcellation of the subcortical white matter was performed on 3D T1-weighted volumes using Freesurfer. Diffusion tensor imaging maps were calculated and transformed to the 3D-T1 space; the average value for each diffusion metric was calculated in the total white matter and in regional volumes of interest. Tract-based spatial statistics analysis was also performed to investigate the deeper white matter tracts. There was a significant reduction of mean (P = 0.002), axial (P = 0.0003) and radial (P = 0.0134) diffusivities in the total white matter in sporadic Creutzfeldt-Jakob disease. Mean diffusivity was significantly lower in most white matter volumes of interest (P < 0.05, corrected for multiple comparisons), with a generally symmetric pattern of involvement in sporadic Creutzfeldt-Jakob disease. Mean diffusivity reduction reflected concomitant decrease of both axial and radial diffusivity, without appreciable changes in white matter anisotropy. Tract-based spatial statistics analysis showed significant reductions of mean diffusivity within the white matter of patients with sporadic Creutzfeldt-Jakob disease, mainly in the left hemisphere, with a strong trend (P = 0.06) towards reduced mean diffusivity in most of the white matter bilaterally. In contrast, by visual assessment there was no white matter abnormality either on T2-weighted or diffusion-weighted images. Widespread reduction in white matter mean diffusivity, however, was apparent visibly on the quantitative attenuation coefficient maps compared to healthy control subjects. Neuropathological analysis showed diffuse astrocytic gliosis and activated microglia in the white matter, rare prion deposition and subtle subcortical microvacuolization, and patchy foci of demyelination with no evident white matter axonal degeneration. Decreased mean diffusivity on attenuation coefficient maps might be associated with astrocytic gliosis. We show for the first time significant global reduced mean diffusivity within the white matter in sporadic Creutzfeldt-Jakob disease, suggesting possible primary involvement of the white matter, rather than changes secondary to neuronal degeneration/loss.
Keywords: DTI, CJD, mean diffusivity, gliosis, microglia
Sporadic Creutzfeldt-Jakob disease (sCJD) is considered primarily a disease of grey matter. However, Caverzasi et al. now show a global decrease in mean diffusivity in white matter. The changes appear to be associated with reactive astrocytic gliosis and activated microglia, and suggest primary involvement of the white matter in sCJD.
Introduction
Human prion diseases are a group of rare and invariably fatal diseases due to misfolding of the normal protein, the prion protein (PrPC), into an abnormal conformation (the prion or PrPSc) that causes progressive neurodegeneration in the brain. Sporadic Creutzfeldt-Jakob disease (CJD) is the most common form of human prion disease and classically is characterized by rapidly progressive dementia with ataxia and myoclonus, leading to akinetic mutism and death usually within a year or less from onset (Brown et al., 1986).
MRI has become increasingly important for the clinical diagnosis of sporadic CJD. In addition to its important role in excluding other causes for rapidly progressive dementias, MRI plays an important role in the diagnosis of human prion disease (Geschwind et al., 2009), even early in the illness (Shiga et al., 2004). FLAIR and diffusion weighted imaging (DWI) sequences allow the detection of hyperintensities both within subcortical grey matter (striatum and thalamus) and cortical grey matter (so called ‘cortical ribboning’) (Young et al., 2005; Satoh et al., 2007; Tschampa et al., 2007; Meissner et al., 2009; Galanaud et al., 2010). DWI hyperintensities in sporadic CJD are more evident and typically positive earlier in the disease than on FLAIR images (Demaerel et al., 1999; Shiga et al., 2004; Vitali et al., 2011). The DWI hyperintensities are due to reduced diffusivity of water molecules in the grey matter, which should be confirmed on mean diffusivity maps (showing hypointensity). Specific neuropathological changes (including vacuolization, prion deposition and possibly astrocytic gliosis) seem to be associated with these grey matter DWI changes (Geschwind et al., 2009). Although sporadic CJD is generally considered to affect primarily grey matter and MRI abnormalities generally have not been observed in white matter, there is histopathological evidence that white matter damage is widespread, with abnormal deposition of neurofilament proteins and neuritic distensions suggesting neuroaxonal pathology (Liberski and Budka, 1999; Armstrong et al., 2002).
Diffusion tensor imaging (DTI) is a non-invasive MRI technique that allows quantitative assessment of microstructural changes in otherwise normal appearing brain tissue. Recently this technique was applied to study 21 patients with E200K genetic prion disease (Lee et al., 2012) and showed reduced fractional anisotropy in many important white matter pathways and suggested that reduced fractional anisotropy was associated with a functional disconnection syndrome (Lee et al., 2012). Whether white matter is primarily affected in CJD or involved secondarily through involvement of cell bodies within the grey matter remains unclear (Kucharczyk and Bergeron, 2004). There are cases of CJD with extensive white matter involvement on T2-weighted images, which have been referred to as panencephalopathic sporadic CJD. Most reported cases have been in Asia, particularly Japan, and are isolated to patients with long survival due to extensive life-prolonging measures (Mizutani et al., 1981; Kruger et al., 1990; Yamada et al., 1997; Ghorayeb et al., 1998; Matsusue et al., 2004; Hama et al., 2009). White matter abnormalities in these patients might simply be the result of secondary Wallerian degeneration and not related to primary involvement of the white matter (Jansen et al., 2009; Deguchi et al., 2012). A recent paper focusing on DTI measures (fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity) in the caudate, corpus callosum, posterior limb of the internal capsule, pulvinar, precuneus, and frontal lobe, found no significant white matter abnormalities in a small sporadic CJD group compared to healthy subjects or a cohort of subjects with rapidly progressive dementia (Wang et al., 2013). To our knowledge, however, no studies to date have addressed how DTI parameters change across the entire brain within the white matter of patients with sporadic CJD. The aims of this study were: (i) to determine quantitatively whether white matter diffusion changes occur in sporadic CJD; (ii) to describe the pattern of white matter involvement using quantitative diffusion and visual assessment; and (iii) to correlate white matter histopathology with the MRI changes.
Materials and methods
This study was approved by the University of California of San Francisco (UCSF) Committee on Human Research.
Subjects
Subjects enrolled for this study were evaluated between August 2005 and August 2008 at the UCSF Memory and Ageing Centre. Of 61 serial probable or definite sporadic CJD patients evaluated during this period, 31 underwent the same MRI protocol and 26 with adequate quality MRI for post-processing were included in this study. Twenty-three of the subjects with sporadic CJD (88%) had definite CJD and three were not pathology proven, but eventually met UCSF 2007 probable sporadic CJD criteria (Geschwind et al., 2007) and either WHO 1998 or European probable sporadic CJD criteria (Zerr et al., 2009). Control MRIs were obtained from the same scanner on nine age and gender-matched healthy subjects (Table 1). Seven subjects with sporadic CJD had a second serial brain MRI after ∼2 months [2.17, standard deviation (SD) ± 0.23 months] (Caverzasi et al., 2014). All subjects with sporadic CJD had the Mini-Mental State Examination, modified Barthel Index (Mahoney and Barthel, 1965), Neuropsychiatric Inventory Scale (to assess behavioural impairments) (Cummings, 1997), and a detailed standardized neurological examination (± 3 days to the MRI scan date) (Table 1 and Supplementary material).
Table 1.
Group | n | Sex | Age | Time between symptoms outbreak and MRI (months) | Total disease duration (months) | % Path- proven | Codon 129b | Molecular classification | |
---|---|---|---|---|---|---|---|---|---|
Healthy controls | 9 | 4F (44%); 5M (56%) | 61 ± 16 | — | — | — | — | — | |
Sporadic CJD | 26 | 12F (46%); 14M (54%) | 62 ± 9 | 12 ± 8 | 19 ± 13 | 88% | MM 58%c | MM 1 | 15% |
MM 2 | 23% | ||||||||
MM 1/2 | 12% | ||||||||
MM N/A | 8% | ||||||||
MV 31% | MV1 | 8% | |||||||
MV2 | 15% | ||||||||
MV 1/2 | 4% | ||||||||
MV N/A | 4% | ||||||||
VV 8% | VV 2 | 8% | |||||||
N/A 4% | N/A | 4% |
aSee text for demographics on controls subjects.
bAll but one subject with sporadic CJD ruled out for genetic prion disease by PRNP analysis; this subject was not path-proven, but had no family history of neuropsychiatric disorder and presented clinically like sporadic CJD.
cOne subject with codon 129 data, but no prion typing on western blot available, was called MM 1 based on the histopathology autopsy findings. Percentages might not add exactly due to rounding.
— = not relevant; N/A = data not available; M = methionine; V = valine. ± refers to standard deviation (SD). Previously published and used with permission (Caverzasi et al., 2014).
Neuropathology
Sporadic CJD brain autopsies were performed at UCSF (n = 19) and/or the National Prion Disease Pathology Surveillance Centre (NPDPSC; n = 4) (Kretzschmar et al., 1996). Detailed brain specimens used for MRI-pathology white matter comparison were obtained for six subjects with sporadic CJD autopsied at UCSF for whom tissue was still available.
MRI acquisition
Images were acquired on a 1.5 T GE Signa scanner. The acquisition protocol consisted of a T1-weighted 3D IRSPGR (inversion recovery spoiled gradient) axial slab with 60 slices of 3 mm thickness, repetition/echo times = 27/6 ms, flip angle 40°, in-plane matrix 256 × 256 covering a field of view of 24 × 24 cm2), an axial T2 FLAIR (48 slices of 3 mm thickness, repetition/echo/inversion times = 8802/122/2200 ms, 512 × 512 matrix with a field of view of 24 × 24 cm2), and a DTI axial acquisition (15 non-collinear gradient directions with b = 1000 s/mm2, one b = 0 reference image, 35 contiguous slices of 3 mm thickness, repetition/echo times = 12 400/69 ms, 128 × 128 matrix covering a field of view of 25.6 × 25.6 cm2 interpolated to give a final 1 × 1 × 3 mm3 resolution).
Imaging processing
To investigate the involvement of the white matter in sporadic CJD both cross-sectionally and longitudinally, we performed a volume of interest analysis in each subject’s native DTI space after automated parcellation of T1 volumes using Freesurfer Image Analysis Suite Version 4.5. Voxel-based analysis was also performed in a common standard space using the Tract-Based Spatial Statistics (TBSS) methods implemented in FSL (FMRIB, Oxford UK, http://www.fmrib.ox.ac.uk/fsl) (Smith et al., 2006).
Volume of interest analysis
Automated parcellation of T1 images. Masks of whole brain grey and white matter were extracted and the Desikan-Killiany Atlas in Freesurfer was used to obtain 34 grey matter volumes of interest per hemisphere in the native coordinate system of each subject (Dale et al., 1999; Fischl et al., 1999). Subcortical white matter boundaries were defined from the grey matter parcellations by defining outer boundaries 4 mm subjacent to each cortical region. Thus each subcortical white matter volume of interest included the area of white matter 4 mm below the grey-white border for each Freesurfer parcel. Accuracy of the segmentation results was validated by a neuroradiologist (E.C.) and was reprocessed until correct or if it failed to adequately segment it was excluded.
DTI processing. After correcting for distortions due to eddy current and head motion, maps of fractional anisotropy, mean diffusivity, axial diffusivity and radial diffusivity were calculated by fitting the diffusion tensor model within each voxel using the FDT software tool in FSL. To improve the visualization of white matter difference in mean diffusivity maps we also created ‘attenuation coefficient maps’ [attenuation coefficient = exp(−b × mean diffusivity)]. In these images, typical diffusion contrast is inverted and differences enhanced. B = 0 images were then registered to the brain-extracted volumes from T1-weighted images using an affine alignment (FLIRT). The transformation matrix obtained was then applied to the DTI parameter maps. The mean values for mean diffusivity, fractional anisotropy, axial and radial diffusivity were calculated in the total white matter and within each volume of interest on co-registered images.
Statistical analysis. For cross-sectional comparisons, the non-parametric Wilcoxon test was applied to age-corrected Z-scores to evaluate differences of mean diffusivity, fractional anisotropy, axial and radial diffusivity values in the total white matter and in each subcortical white matter volume of interest. The non-parametric Wilcoxon signed rank test was used to evaluate differences between the first and second MRI time points. False discovery rate (FDR) with P < 0.05 was used to correct for multiple comparisons.
Tract-based spatial statistics analysis
Voxel-wise TBSS analysis was performed using the default parameters in the FSL (Smith et al., 2006). Specifically, fractional anisotropy maps for each subject were normalized to the FMRIB58 fractional anisotropy template in the Montreal Neurological Institute (MNI) standard space using both linear (FLIRT) and non-linear (FNIRT) registration. A mean fractional anisotropy image was created and thinned to create a mean fractional anisotropy skeleton, which represents the centres of all tracts common to the group. Each subject’s aligned fractional anisotropy, mean, axial and radial diffusivity data were then projected onto this skeleton, allowing voxel-wise between-group comparisons. Comparisons of mean diffusivity, fractional anisotropy, axial and radial diffusivity were tested by using a two-sample t-test adjusting for the subject’s age. The number of permutations was set at 5000. The resulting statistical maps were corrected for multiple comparisons [family-wise error (FWE) correction using the threshold-free cluster enhancement option] and thresholded at P = 0.05. Results were also assessed at uncorrected statistical P = 0.05 in order to visually assess statistical trends. The anatomical location of significant clusters was detected using the Johns Hopkins University white matter tractography atlas and the International Consortium of Brain Mapping ICBM–DTI white matter labels atlas. The number of voxels that were significantly different in patients compared to control subjects was reported for each white matter tract. To understand the relative contribution of axial and radial diffusivity to either mean diffusivity or fractional anisotropy changes, we performed an additional region of interest-based analysis, selecting clusters of voxels with either significant mean diffusivity or fractional anisotropy reduction (Lee et al., 2012); to increase the likelihood of identifying voxels with mean diffusivity or fractional anisotropy changes and to identify strong trends, we selected voxels with a P < 0.06 (FDR corrected). Average mean diffusivity, fractional anisotropy, axial and radial diffusivity were derived in these clusters. The non-parametric Wilcoxon signed rank test was used to evaluate differences between sporadic CJD and controls in these selected regions.
MRI white matter visual assessment
To determine the effect of any T2-weighted abnormalities on DTI metric results, two radiologists (E.C., C.H.) independently reviewed T2-weighted images from the first scan of the 26 patients with sporadic CJD and rated any white matter abnormalities based on the modified scale developed by Scheltens et al. (1993) (periventricular white matter score 0–6, deep white matter score 0–24; total score: 0–30) (Scheltens et al., 1993; Pantoni et al., 2002). Differences were resolved by consensus. In each subject in whom areas of T2-weighted white matter abnormalities were noted, we compared the DTI metrics maps in these areas with their normal appearing white matter.
Histopathology evaluation
Sufficient samples of white matter still were available on six of the 19 autopsied subjects. In five of six patients white matter samples were taken from the middle-superior frontal, inferior parietal and internal capsule regions. For Subject 12 parietal tissue was not available, so a superior temporal tissue block was used. The subcortical samples were ~1 cm3 blocks and included subcortical white matter with overlying grey matter and portion of deeper white matter. The internal capsule samples included a portion of the thalamus.
Formalin-fixed samples were processed, paraffin-embedded, and sectioned at 8 µm thickness. The sections were stained with haematoxylin and eosin (Fisher Scientific cat# SH26-500D and cat# 245-658) or processed for immunohistochemistry with the PrP-specific 3F4 monoclonal antibody (Prusiner Laboratory, UCSF) and for astrocytes with an anti-GFAP antibody (Dako cat# Z0334). Secondary antibodies used for 3F4 and GFAP were a biotinylated horse anti-mouse IgG antibody (Vector laboratories cat# BA-2000) and a biotinylated goat anti-rabbit IgG antibody (Vector laboratories cat# BA-1000), respectively. The peroxidase substrate DAB kit (Vector laboratories cat# SK-4100) was used for colour development. Bielschowsky silver stain was used to evaluate white matter axonal degeneration.
A neuropathologist (S.J.D.) with extensive experience in CJD pathology assessed the severity and extent of histopathological changes in each white matter region comparing with the overlying grey matter. The degree of astrocytic gliosis and prion deposition was graded according to a 4-point scale (0, absent; 1, mild; 2, moderate; 3, severe) and by the percentage of each area involved. For vacuolization, only the percentage of area involved was assessed. The Spearman non-parametric test was used to assess the correlation between histopathology rating results and the quantitative metrics results, as well as with visual assessment rating scores in the frontal and parietal lobes. For correlation of quantified MRI data with neuropathology, we used the last UCSF MRI; two of the six subjects (Subjects 2 and 5) with neuropathology had serial MRIs, and we used their second/last UCSF MRI. The MRI data used for the analysis comparing MRI (visual assessment and mean diffusivity) to pathological findings were acquired over a mean 81 ± SD 79 days before death (range 9–205; median 67.5 days). After the initial histopathological analysis, to identify any activated microglia associated with reactive astrocytosis or areas of demyelination, we reanalysed and processed the tissue with immunohistochemistry with anti-IBA1 antibody (Wako #019-19741) (Kanazawa et al., 2002) and with Luxol Fast blue or Cresyl violet, respectively.
Results
Total white matter and subcortical white matter analyses
In the total white matter volume, there was a significant reduction in the average mean diffusivity [healthy controls = 0.817 × 10−3 mm2/s (±0.041 SD), sporadic CJD = 0.749 (±0.055); P = 0.002], axial diffusivity [healthy controls = 1.143 (±0.077), sporadic CJD = 1.031 (±0.065); P = 0.0003] and radial diffusivity [healthy controls = 0.654 (±0.026), sporadic CJD = 0.608 (±0.054); P = 0.013] in sporadic CJD subjects compared to controls. There was a trend towards reduced fractional anisotropy in the total white matter [healthy controls = 0.356 (±0.023), sporadic CJD = 0.337 (±0.033), P = 0.06].
Regional analyses of subcortical white matter showed mean diffusivity was significantly reduced in the majority of subcortical white matter volumes of interest (Table 2 and Fig. 1); no increase in mean diffusivity was observed in any volumes of interest. The group-wise pattern of involvement was relatively symmetric, except some temporal lobe regions in which the left hemisphere was more involved than the right hemisphere (Table 2 and Supplementary Table 1).
Table 2.
Subcortical white matter volumes of interest | MD |
FA |
AD |
RD |
|||||
---|---|---|---|---|---|---|---|---|---|
Left | Right | Left | Right | Left | Right | Left | Right | ||
Frontal | Control | 840 ± 70 | 836 ± 61 | 0.318 ± 0.024 | 0.314 ± 0.025 | 1105 ± 87 | 1104 ± 87 | 687 ± 47 | 691 ± 49 |
sporadic CJD | 757 ± 64 | 751 ± 69 | 0.303 ± 0.037 | 0.303 ± 0.04 | 998 ± 70 | 993 ± 79 | 637 ± 64 | 633 ± 68 | |
Caudal middle-frontal | ** | ** | NS | NS | ** | * | * | * | |
Lateral orbito-frontal | ** | ** | NS | (*) | ** | ** | (*) | (*) | |
Medial orbito-frontal | * | ** | NS | * | ** | ** | NS | (*) | |
Pars opercularis | ** | ** | NS | NS | ** | ** | * | * | |
Paracentral | ** | * | NS | NS | ** | * | (*) | NS | |
Pars orbitalis | ** | * | NS | NS | ** | ** | * | (*) | |
Pars triangularis | * | ** | NS | NS | ** | ** | (*) | * | |
Precentral | ** | ** | NS | NS | ** | * | (*) | * | |
Rostral middle frontal | ** | ** | NS | NS | ** | ** | * | * | |
Superior frontal | ** | ** | NS | NS | ** | ** | (*) | (*) | |
Frontal pole | NS | NS | NS | NS | NS | NS | NS | NS | |
Control | 859 ± 62 | 873 ± 66 | 0.403 ± 0.029 | 0.397 ± 0.033 | 1249 ± 93 | 1270 ± 116 | 652 ± 48 | 666 ± 45 | |
Limbic | sporadic CJD | 789 ± 62 | 794 ± 65 | 0.372 ± 0.043 | 0.368 ± 0.044 | 1123 ± 73 | 1126 ± 83 | 622 ± 64 | 628 ± 81 |
Caudal anterior cingulate | (*) | (*) | (*) | * | ** | ** | NS | NS | |
Isthmus cingulate | ** | ** | NS | NS | ** | ** | (*) | * | |
Posterior cingulate | * | * | * | * | ** | ** | NS | NS | |
Rostral anterior cingulate | ** | ** | NS | ** | ** | *** | (*) | NS | |
Insula | ** | ** | (*) | NS | ** | ** | NS | (*) | |
Control | 855 ± 59 | 838 ± 58 | 0.307 ± 0.031 | 0.300 ± 0.022 | 1129 ± 79 | 1105 ± 81 | 710 ± 49 | 703 ± 48 | |
Temporal | sporadic CJD | 757 ± 75 | 739 ± 75 | 0.288 ± 0.033 | 0.282 ± 0.036 | 991 ± 87 | 963 ± 91 | 642 ± 72 | 632 ± 71 |
Entorhinal | ** | * | (*) | (*) | ** | ** | (*) | (*) | |
Fusiform | * | * | NS | NS | ** | * | (*) | (*) | |
Inferior temporal | ** | ** | NS | NS | ** | ** | * | ** | |
Middle temporal | ** | ** | NS | NS | ** | ** | * | * | |
Temporal pole | * | NS | NS | * | (*) | * | NS | NS | |
Parahippocampal | ** | ** | * | NS | *** | ** | * | * | |
Superior-temporal | ** | ** | NS | NS | ** | ** | * | * | |
Transverse temporal | ** | (*) | NS | NS | * | (*) | * | NS | |
Banks superior temporal sulcus | ** | ** | NS | NS | ** | ** | * | ** | |
Control | 828 ± 60 | 818 ± 57 | 0.314 ± 0.028 | 0.314 ± 0.031 | 1092 ± 74 | 1077 ± 75 | 681 ± 42 | 673 ± 39 | |
Parietal | sporadic CJD | 730 ± 72 | 725 ± 71 | 0.313 ± 0.035 | 0.313 ± 0.037 | 974 ± 83 | 968 ± 81 | 608 ± 70 | 605 ± 69 |
Inferior parietal | ** | ** | NS | NS | ** | ** | * | ** | |
Postcentral | ** | ** | NS | NS | ** | * | ** | * | |
Precuneus | ** | ** | NS | NS | ** | ** | ** | ** | |
Superior parietal | ** | * | NS | NS | ** | * | * | * | |
Supramarginal | ** | ** | NS | NS | ** | ** | * | * | |
Control | 832 ± 37 | 823 ± 42 | 0.276 ± 0.032 | 0.279 ± 0.036 | 1073 ± 58 | 1062 ± 62 | 711 ± 35 | 701 ± 36 | |
Occipital | sporadic CJD | 742 ± 83 | 729 ± 84 | 0.258 ± 0.039 | 0.265 ± 0.038 | 948 ± 94 | 936 ± 99 | 642 ± 80 | 628 ± 81 |
Cuneus | ** | ** | NS | NS | ** | ** | * | * | |
Lateral occipital | * | * | NS | NS | ** | ** | (*) | * | |
Lingual | ** | ** | NS | NS | ** | ** | * | * | |
Pericalcarine | ** | ** | NS | NS | ** | ** | ** | * |
Mean diffusivity, axial and radial diffusivity values are reported in mm2/s × 10−3 at a lobar level as average ± SD for both control and sporadic CJD groups. The significance is reported as ***P < 0.001, **P < 0.01, *P < 0.05, (*) trend with P < 0.1, with sporadic CJD DTI metrics reduced versus controls. NS = non-significant; MD = mean diffusivity; FA = fractional anisotropy; AD = axial diffusivity; RD = radial diffusivity. No DTI metrics were increased in any volumes of interest in sporadic CJD.
Most volumes of interest had no changes in fractional anisotropy, although a few showed a significant (or trend towards) reduction in fractional anisotropy (Fig. 1, Table 2 and Supplementary Table 1). Similar to mean diffusivity, axial diffusivity was significantly reduced in the subjects with sporadic CJD compared to controls in all but two volumes of interest, in which there was a trend towards reduction (Table 2 and Supplementary Table 1); the patterns of reduced axial and mean diffusivity were almost identical. Radial diffusivity was reduced in almost all temporal, parietal and occipital white matter volumes of interest, but less widely in the frontal, limbic white matter volumes of interest, although there was a trend towards reduction in these regions (Table 2 and Supplementary Table 1). Therefore, mean diffusivity reduction seems due to a concomitant reduction of both axial diffusivity and radial diffusivity, without appreciable changes in white matter anisotropy (fractional anisotropy overall was relatively normal). There was a statistically significant positive correlation (Spearman's ρ = 0.64, P < 0.001) between the subcortical white matter mean diffusivity and the overlying cortical grey matter mean diffusivity values, which we had calculated previously in the same subjects (Caverzasi et al., 2014). In the subgroup of seven patients with serial MRIs, there were no significant differences in DTI metrics differences between first and second MRI time points, either within the total white matter or within the volume of interest-based subcortical white matter analysis.
Tract-based spatial statistics analysis
Mean diffusivity was significantly reduced in subjects with sporadic CJD compared to controls in the left hemisphere involving both the anterior and posterior limbs of the internal capsule, the corticospinal tract, the inferior fronto-occipital fasciculus and the uncinate fasciculus (P < 0.05, FWE) (Fig. 2). There was, however, a more widespread trend (0.05 < P < 0.1, FWE) towards reduced mean diffusivity in the homologous regions of the right hemisphere and bilaterally in the anterior thalamic radiations, the left inferior superior longitudinal fascicles and the left fornix (not shown).
Fractional anisotropy was significantly reduced in subjects with sporadic CJD compared to controls bilaterally in only a few regions: the anterior limbs of the internal capsule, the anterior portion of the external/extreme capsule, the fornix, the genu of the corpus callosum, the rostral portion of the inferior fronto-occipital fasciculus, and the uncinate fasciculus (P < 0.05, FWE) (Fig. 2). In contrast, axial diffusivity was widely reduced in almost all TBSS skeleton regions (P < 0.05, FWE) (Fig. 2). Although there were no statistically significant changes in radial diffusivity, there was a trend towards reduction (0.05 < P < 0.1, FWE) in most TBSS skeleton regions (Fig. 2). To better understand the contribution of DTI metrics to the diffusion changes, we performed a region of interest-based analysis, selecting clusters of voxels with either significant mean diffusivity or fractional anisotropy reduction in sporadic CJD compared to controls (Lee et al., 2012); this analysis showed that: (i) in regions with reduced mean diffusivity, the decreased mean diffusivity seemed to be due to a similar contribution from both reduced axial and radial diffusivity (Supplementary Fig. 1A), leading to a fractional anisotropy within normal range; and (ii) in regions with reduced fractional anisotropy, the decreased fractional anisotropy seemed to be due to significantly reduced axial diffusivity, whereas the radial diffusivity was normal (Supplementary Fig. 1B). These findings are concordant with the Freesurfer analysis.
Histopathology
In one of six sporadic CJD cases reviewed for white matter pathology (subject 5), there was mild to moderate PrPSc staining in the subcortical and deep white matter of both hemispheres (Fig. 3J and Table 3); the white matter PrPSc staining was less intense, however, than in the overlying cerebral cortex (Fig. 3I and J). White matter of the remaining five sporadic CJD cases had little or no PrPSc staining in either the subcortical or deep white matter (Fig. 3D), particularly when compared to the overlying cortical grey matter (Fig. 3C). The other abnormality found in subject 5 was moderately intense and diffuse reactive astrocytic gliosis (Fig. 3L and Table 3); the same degree of reactive astrocytic gliosis, however, was found in the white matter of all other sporadic CJD cases and thus did not necessarily co-localize with PrPSc (Fig. 3F). Reactive astrocytic gliosis of the cerebral cortex was significantly more intense in the white matter than in the grey matter (Fig. 3E and F), with an increased number of reactive astrocytes, which had more staining of processes (filled with GFAP immunopositive fibrils) and enlarged cell bodies (Fig. 4A and D) in all cases. In the grey matter of the cerebral cortex, there was a moderate, patchy reactive astrocytosis (although mild relative to the reactive astrocytosis in the white matter) and generally confined to layers 1 (Fig. 3E and K) and 6 (not shown). Areas of cortical grey matter with reactive astrocytosis seemed to accompany PrPSc deposition (Fig. 3C, E, I and K). Most of the intense reactive astrocytes appeared to surround arterioles. In areas without PrPSc, there was no reactive astrocytic gliosis (not shown). Finally, standard vacuolation, as typically seen in grey matter in sporadic CJD, was seen in only ~5% of white matter in all subjects, regardless of the presence of PrPSc (Fig. 3B and H). Occasional micro ‘vacuoles’ were found focally in the white matter of the sporadic CJD cases with PrPSc (not shown); these were considered artefacts, however, as they were not like the typical vacuolation of grey matter seen in prion disease and because they can be found in non-CJD cases. Typical vacuoles in the grey matter (Figs. 3A and G) were found in synaptic regions in all cases. In all patients there were patchy foci of white matter demyelination in all regions evaluated. No evident axonal degeneration in the white matter was present in any of the cases.
Table 3.
Sporadic CJD subject ID | MRI to death interval (days) | Frontal lobe |
Parietal lobe |
Internal capsule |
||||||
---|---|---|---|---|---|---|---|---|---|---|
PrPSc severity: % area | Gliosis severity: % area | Vacuolation % area | PrPSc severity: % area | Gliosis severity: % area | Vacuolation % area | PrPSc severity: % area | Gliosis severity: % area | Vacuolation% area | ||
2 | 205 # | 0.5: 100% (fine) | 0.5: 80% | <5% | 0.5: 100% | 1: 80% | <5% | 0: 100% | 2: 100% | <5% |
2: 20% | 2: 20% | |||||||||
5 | 123 # | 0: 75% 1: 25% (fine and course) | 2: 80% | <5% | 0: 30% 1: 70% (fine and course) | 1: 30% | <5% | 0: 95% | 2: 100% | <5% |
2: 60% | ||||||||||
3: 10% | ||||||||||
3: 20% | 1: 5% | |||||||||
12* | 14 | 0: 100% | 2: 40% | <5% | 0% | 1: 40% | <5% | 0: 100% | 2.5: 100% | <5% |
3: 60% | 2: 60% | |||||||||
13 | 114 | 0: 100% | 2 × 50% | <5% | 0.5 × 100% | 1: 25% | <5% | 0: 100% | 1: 100% | <5% |
2: 25% | ||||||||||
3: 50% | ||||||||||
3 × 50% | ||||||||||
18 | 9 | 0: 90% 1: 10% (fine) | 2: 30% | <5% | 0: 100% | 1.5: 30% | <5% | 0: 100% | 2: 100% | <5% |
3: 70% | 2.5: 70% | |||||||||
26 | 21 | 0: 100% | 1: 70% | <5% | 0% | 0: 60% | <5% | 0: 100% | 2: 100% | <5% |
2: 30% | 1: 30% | |||||||||
2: 10% |
Subjects are listed based on the time interval between MRI and death. PrPSc deposition, gliosis and vacuolation are reported as % of area involved. For gliosis and PrPSc deposition a rate of involvement was performed (0 = none; 1 = mild; 2 = moderate; 3 = severe). Scores in between two ordinals were graded with ‘0.5’; PrPSc deposition was also described as fine or course. Subjects 5 was the single case considered to have PrPSc in the white matter.
* Subject 12, as parietal tissue was not available for all immunohistochemistry, superior temporal was used instead.
# Second time point MRI.
In all cases activated microglia were found throughout the grey matter (Fig. 4B) and white matter (Fig. 4E). In both the grey matter and white matter, activated microglia often seemed intimately associated with reactive astrocytes (Fig. 4C and F); in the white matter, however, activated microglia were primarily found associated with reactive astrocytes (Fig. 4F), whereas in the grey matter, activated microglia were in all regions regardless of the amount of reactive astrocytosis (cf. Fig. 4A and B with Fig. 4D and E). There was not a statistically significant correlation between histopathological rating scores and any DTI metrics (Spearman's P > 0.1), including mean diffusivity values (PrPSc deposition: Spearman's ρ = −0.26, P = 0.41; gliosis: Spearman's ρ = 0.21, P = 0.5; vacuolation: Spearman's ρ = 0.1, P = 0.75). Even when we excluded Subject 2, an outlier with by far the longest MRI to death interval, there were still no correlations.
MRI visual assessment of white matter
Regarding the concordance of the two readers conducting the MRI white matter visual assessment, the mean inter-rater precise agreement for each modified Scheltens score for all regions was 81 ± 6%. Concordance of modified Scheltens scores for total brain white matter (mild, moderate, severe), however, was 100%. The mean average modified Scheltens score of white matter hyperintensities was 5.3 of 30 (±4 SD), within the mild range. Eighty-eight per cent of subjects had mild white matter involvement (modified Scheltens score 0–10), 12% showed moderate involvement (scores 11–20) and none showed severe white matter involvement. Side-by-side comparison of the visually rated white matter abnormalities with the mean diffusivity maps showed that all regions with white matter abnormalities seemed as normal to increased (none with decreased) mean diffusivity (Supplementary Fig. 2). Comparing the white matter histopathological findings (Table 3) to white matter abnormalities by visual assessment (Supplementary Table 2) in the frontal and parietal lobes, there were no statistically significant correlations, in particular between Scheltens rating scores and gliosis (Spearman's ρ = 0.43, P value = 0.16).
To identify possible changes in the normal appearing white matter (on FLAIR images) we created attenuation coefficient maps. Interestingly, all sporadic CJD attenuation coefficient maps showed widespread clearly visible reduced mean diffusivity compared to controls (Fig. 5). Although, as we previously noted, there was not any statistically significant correlation between histopathological rating scores and mean diffusivity values, the degree of reduced diffusion seen on the attenuation coefficient maps seemed roughly to follow the degree of astrocytic gliosis, but not other pathological changes, present in the tissue (sum of gliosis rating at frontal, parietal, and internal capsule levels) (Fig. 5).
White matter values and clinical scale correlations
There were no significant correlations between clinical scales (modified Barthel, Mini-Mental State Examination and Neuropsychiatric Inventory Scale) and white matter mean diffusivity or fractional anisotropy values, either at a volume of interest or whole brain level (P > 0.05).
Discussion
In this study we surprisingly detected widespread white matter involvement in sporadic CJD on diffusion imaging, characterized predominantly by reduced mean diffusivity, with no areas showing increased mean diffusivity. These changes were both in the total white matter as well as regionally within both subcortical and deep white matter. The white matter alteration was clearly visible on the attenuation coefficient map (Fig. 5) and seemed to be associated (although not statistically significant) histopathologically with reactive astrocytic gliosis and activated microglia (Table 3). To our knowledge, this is the first paper to explore the whole brain white matter, and to show global reduced white matter mean diffusivity, in sporadic CJD.
Reduced mean diffusivity in the grey matter (cortical, striatal and/or thalamic) on diffusion-weighted imaging is well-described as highly diagnostic for sporadic CJD (Shiga et al., 2004; Vitali et al., 2011), and most literature suggests a correlation of reduced mean diffusivity with vacuolization and prion deposition, and less so with astrocytic gliosis (Haik et al., 2002; Geschwind et al., 2009; Manners et al., 2009). We now report similarly reduced diffusion in the white matter in sporadic CJD; histopathological findings confirm white matter involvement in sporadic CJD, characterized by pathological alterations partially overlapping with those in sporadic CJD grey matter, but with more diffuse and reactive astrocytic gliosis (and activated microglia) and with rare PrPSc deposition and vacuolation, present as only microvacuolation (Table 3 and Fig. 3). Pathological vacuolation in the white matter of sporadic CJD can be difficult to differentiate from artefactual vacuolation due to the fixation and staining processes (Garman, 2011). Activated microglia were found throughout the grey matter and white matter and seemed to be intimately associated with reactive astrocytes (Fig. 4C and F). Surprisingly, in all six cases with pathological analysis of the white matter, there were patchy foci of demyelination with no concomitant axonal degeneration.
Although conventional MRI usually do not show any significant white matter involvement in sporadic CJD, animal models of prion disease have described white matter pathology characterized by similar histopathological features to those found in grey matter, with PrPSc deposition, reactive astrocytes and vacuolation (Taraboulos et al., 1992; Brandner et al., 1996; Prusiner, 1998; Bouzamondo-Bernstein et al., 2004; Safar et al., 2005). Animal models have also suggested a role of normal prion protein (PrPC) in myelin protection/maintenance (Radovanovic et al., 2005; Bremer et al., 2010; Popko, 2010) and a possible role of white matter in the spread of prions in the brain (Kimberlin, 1983; Fraser and Dickinson, 1985; Kordek et al., 1999). Despite this, there are few studies showing evidence of white matter involvement in sporadic CJD (Bugiani et al., 1989; Muhleisen et al., 1995; Armstrong et al., 2002). One study of 15 subjects with CJD examining astrocytosis and vacuolation in the white matter, found diffuse astrocytosis, similar to the grey matter; the vacuolation ranged from subtle microvacuolation to areas with demyelination and severe vacuolation (Bugiani et al., 1989). Another study of six patients with sporadic CJD reported astrocytosis and microglial activation diffusely throughout the white matter, similar to our findings (Muhleisen et al., 1995). Also consistent with our findings, PrPSc staining did not co-localize with microglia (Muhleisen et al., 1995). Another study examining subcortical white matter pathology in 11 subjects with sporadic CJD found intermittent large clusters of vacuoles accompanied by diffuse astrocytic gliosis. Some of the clusters were distributed with regular periodicity across the base of subcortical white matter, similarly to what they found in the adjacent or overlying grey matter, suggesting to the authors the possibility of cortical-subcortical spread (Armstrong et al., 2002).
We found PrPSc deposition was overall rare in the white matter, although one case, however, had mild to moderate involvement. This case is consistent with some literature reporting the occasional presence of PrPSc in the white matter in sporadic CJD (Muhleisen et al., 1995) as well as with mouse models in which PrPSc is not only routinely detected in the white matter (DeArmond et al., 2002; Spilman et al., 2008), and suggest that it might be transported along white matter axons to distant grey matter regions (Bouzamondo-Bernstein et al., 2004).
In our cases, there were several clear differences between the reactive astrocytosis in the white and grey matter. In the grey matter, the reactive astrocytosis was much less robust and patchier, corroborating previous literature in sporadic CJD and animal models (Syrian hamsters and transgenic mice) in which reactive astrocytosis tended to co-localize with PrPSc. In the white matter, we found reactive astrocytosis was moderate to severe and diffuse, but not associated with PrPSc deposition. What causes these astrocytes to become reactive in CJD is not well understood (Navarro et al., 2004). Interestingly in animal models, PrPSc seems to induce microglial activation, and this event precedes reactive astrocytosis and neuronal degeneration (Williams et al., 1997; Marella and Chabry, 2004; Liu et al., 2011). In the brain, two major classes of astrocytes, biochemically and developmentally distinct, have been identified on the basis of morphology and distribution in the brain: fibrous astrocytes with many glial filaments composed of GFAP and located mainly in white matter; and protoplasmic astrocytes with few glial filaments and located mainly in grey matter (Miller and Raff, 1984). The different degree of reactive astrocytic gliosis occurring in the white matter compared to grey matter might indicate that protoplasmic astrocytes (in the grey matter) are less capable of forming a dense reactive astrocytic gliosis as fibrous astrocytes (in the white matter). Although the grey matter was filled with deposits of PrPSc, the white matter in five of six cases showed little or no PrPSc by immunohistochemistry. The presence of PrPSc in the grey matter might explain the presence of activated microglia there, however the relative absence or paucity of PrPSc in the white matter in most of our cases with sporadic CJD raises the question of what causes the microglia to become activated and exuberant reactive astrocytosis to occur in white matter. Furthermore, animal models suggest that PrPSc is transported between brain regions by axonal transport (Bouzamondo-Bernstein et al., 2004) and that PrPSc is transported out of neurons by exocytosis to the extracellular space. Perhaps sufficient PrPSc is exocytosed from axons in the white matter to activate microglia and secondarily cause reactive astrocytosis (DeArmond et al., 1996; Liberski and Budka, 1999; Marella and Chabry, 2004; Bajsarowicz et al., 2012; Kouadir et al., 2012), but the PrPSc is removed in the process, which is why we do not see it in most cases. The same exocytosis mechanism could result in astrocyte infection with prions and formation of PrPSc (Raeber et al., 1997). Finally, it is possible that there was sufficient secondary axonal degeneration (although we did not see this by Bielchowsky staining) in the white matter due to neuron loss in the grey matter to account for reactive astrocytic gliosis and activated microglia.
It is peculiar that although our white matter data show a different ratio of histopathological substrates compared to that typically seen in the grey matter, both grey matter and white matter showed reduced mean diffusivity on DTI (Caverzasi et al., 2014) and at the cortical level grey matter and white matter mean diffusivity values correlated quantitatively. Theoretically, vacuolation (Mutsukura et al., 2009), prion deposition, astrocytic gliosis (Geschwind et al., 2009) and/or microgliomatosis could cause reduced mean diffusivity in white matter of sporadic CJD cases (Broom et al., 2007). Although we did not find a statistical correlation between any of these histopathological features and mean diffusivity, this was not unexpected for two reasons. First, the limited amount of data (only six patients and only two regions for each patient) is a limitation of this study and likely negatively affected our ability to discover any statistically significant correlation. Second, we tested a correlation between an averaged mean diffusivity value within an entire Freesurfer volume of interest with histopathological results obtained from a smaller autopsy tissue sample of the same region—the region sampled pathologically might not have been very representative of the larger Freesurfer region averaged for mean diffusivity. Given these limitations, if we have to explain reduced mean diffusivity in white matter based on our histopathological results, it would seem most likely due to astrogliosis and microgliomatosis.
Alternatively, the diffusion changes seen on MRI might not be directly related to histopathology, but could be due to prion disease causing impairment of functional processes in brain cells, such as altered ion channel function due to decreased plasma membrane fluidity (DeArmond et al., 1996) or impaired axonal transport (Liberski and Budka, 1999). Supporting this possibility is that reduced mean diffusivity also occurs during strokes and although the underlying cause of these diffusion changes is still controversial, a membrane dysfunction has been hypothesized (Wardlaw, 2010).
As we found reduced mean diffusivity in white matter of sporadic CJD, our results differ from what it is usually reported in non-prion neurodegenerative diseases, in which white matter damage (whether primary or secondary) usually results in normal to increased mean diffusivity with variability in fractional anisotropy (Pierpaoli et al., 2001; Song et al., 2002; Agosta et al., 2010, 2011; Canu et al., 2011). Surprisingly, our results using DTI and TBSS differ from a study on the TBSS findings in a cohort of patients with genetic CJD with the E200K mutation (Lee et al., 2012), which usually have several clinical and MRI features overlapping with sporadic CJD (Goldfarb et al., 1991; Parchi et al., 1999; Fulbright et al., 2006; Schelzke et al., 2012). In this interesting study on white matter magnetic resonance diffusion in 21 E200K subjects, they found average reduced fractional anisotropy in several white matter tracts (corticospinal tract, internal and external capsule, fornix, and posterior thalamic radiation) mainly due to increased radial diffusivity (with normal axial diffusivity), with a slightly increased mean diffusivity (Lee et al., 2012). In our sporadic CJD cohort we had very different findings. Only a few regions, mostly in frontal and cingulate cortices, showed a significant decrease in fractional anisotropy and, contrary to Lee et al. (2012), it was always associated with decreased mean diffusivity. Furthermore, in our study the reduction of fractional anisotropy in these regions was driven by a more substantial reduction of axial diffusivity than radial diffusivity (Supplementary Fig. 1). There are several possible explanations for the different findings. E200K genetic prion disease patients overall have more deep nuclei and less cortical involvement on DWI, than most sporadic CJD cases. The increased radial diffusivity with normal axial diffusivity might be suggestive of demyelination in E200K. Although we are not aware of any CNS demyelination in E200K, demyelination in the PNS has been reported in E200K (Antoine et al., 1996).
Our finding of a greater effect on axial diffusivity (reduction) than radial diffusivity might be due to common neuroaxonal pathological abnormalities in sporadic CJD, such as dystrophic neurites and neurofilament accumulation, which suggests axonal transport abnormalities (Liberski and Budka, 1999) that might lead to primarily reducing axial diffusivity. Another possibility might be that concomitant demyelination, which we found as patchy foci across the white matter regions analysed, leading to a local increase in radial diffusivity (Song et al., 2002), counterbalances some of the reduction of radial diffusivity related to the underlying cause of the mean diffusivity reduction (e.g. either due to histopathological or functional changes). In the literature, demyelination has been mostly described in CJD mouse models within the peripheral neuronal system (Neufeld et al., 1992; Antoine et al., 1996). To our knowledge, only one previous study, reported in a book chapter, has shown demyelination in the CNS in humans (Bugiani et al., 1989). Although it is not known why CNS demyelination occurs in sporadic CJD, it might be due to leukolysins released by actrocytes and macroglia (Liberski et al., 1989) or to the conversion of the normal prion protein, which appears to be involved in myelin protection/maintenance (Radovanovic et al., 2005; Bremer et al., 2010; Popko, 2010).
Visual assessment
Visual assessment on T2-weighted images in most subjects did not show any significant white matter changes, except for punctuate deep white matter and thin periventricular white matter abnormalities. A moderate degree of deep white matter T2 changes, associated with smooth or confluent periventricular and deep white matter foci, were found only in two of 26 subjects. White matter abnormalities on T2-weighted images were characterized by increased mean diffusivity on attenuation coefficient and mean diffusivity maps (Supplementary Fig. 2) and thus are not the cause of decreased mean diffusivity. Mean diffusivity white matter changes were only appreciable quantitatively, whereas by visual assessment of standard diffusion imaging (DWI and apparent diffusion coefficient map) these abnormalities are usually not detected. We found, however, that attenuation coefficient maps (an inverse of the mean diffusivity maps routinely used), with opposite contrast (Fig. 5) seem to facilitate detection of white matter abnormalities by visual assessment in sporadic CJD. The mild degree of white matter changes detected on visual assessment of T2 sequences compared to the clear abnormalities on attenuation coefficient, suggests that white matter abnormalities occur on a microstructural level assessed by DTI.
We suggest that the infrequent T2 abnormalities found on visual assessment in sporadic CJD are likely signs of chronic small vessel disease or, alternatively, initial signs of white matter secondary degeneration. A classic example of white matter secondary degeneration in sporadic CJD is likely represented in the rare panencephalitic form of CJD, reported mostly in Asian countries in which some patients have very long disease durations because the cultures support profound life-extending measures, such as feeding tubes and intubation. In cases with the panencephalitic form of CJD, there is usually significant global atrophy with status spongiosis in grey matter and extensive abnormalities in white matter, correlating with disease duration and severity of cortical atrophy (Mizutani et al., 1981; Carota et al., 1996; Matsusue et al., 2004; Tschampa et al., 2007; Jansen et al., 2009). The panencephalitic form of CJD is probably not so much a specific subtype of CJD, but rather a more non-specific very late, end-stage of exceptionally prolonged cases of CJD, characterized by white matter secondary degeneration to the diffuse late stage neuronal loss (Shyu et al., 1996; Parchi et al., 1999; Iwasaki et al., 2006; Jansen et al., 2009).
Primary versus secondary white matter pathology
In the study of magnetic resonance diffusion in E200K subjects discussed above, the authors speculate about a ‘primary’ mechanism of white matter damage (a myelinopathy due to the replacement of PrPC by PrPSc) leading to a functional disconnection syndrome (Lee et al., 2012), however, histopathological data supporting this hypothesis were not shown.
Our results definitely show white matter abnormalities in sporadic CJD; nevertheless it is challenging to determine whether these white matter changes are primary or secondary. There is some evidence supporting primary involvement of white matter in prion disease. In animal models, PrPSc appears to induce microglial activation and this event precedes reactive astrocytosis and neuronal degeneration (Marella and Chabry, 2004). Therefore, the widespread restricted diffusion in sporadic CJD white matter in association with reactive astrocytic gliosis and microglial activation (although with rare prion deposition) might represent primary pathogenic events. Due to their cytotoxic potential, astrocytic gliosis and reactive microglial activation might play a major role in sporadic CJD pathogenesis (Liberski et al., 1989; Muhleisen et al., 1995; Marella and Chabry, 2004). In the absence of detectable PrPSc deposition in the majority of our cases we can only speculate that either a subtle leakage of PrPSc from axons (Bajsarowicz et al., 2012), or other factors, such as release of interleukins (Marella and Chabry, 2004; Liu et al., 2011; Kouadir et al., 2012), might induce microglia in the white matter. Nevertheless the observation of similar diffusion changes (reduced mean diffusivity) in both white matter and grey matter might indicate that the same primary pathological mechanism is occurring; if so, then reduced mean diffusivity might not be due to specific histopathological changes (e.g. vacuolation, PrPSc deposition or gliosis), which differed between white matter and grey matter, but rather to some physiological change or dysfunction. At least three findings suggest that the white matter changes (reduced mean diffusivity) identified in our sporadic CJD group are not due to secondary white matter degeneration (caused by neuronal loss). First, as discussed above, our DTI metrics findings were not consistent with axonal degeneration (Pierpaoli et al., 2001; Song et al., 2002; Agosta et al., 2010, 2011; Canu et al., 2011); second, there was not significant grey matter atrophy in our cohort (Caverzasi et al., 2014); and third, there was no evidence for axonal white matter degeneration on histopathology.
In conclusion, this work shows for the first time a widespread reduced mean diffusivity within the white matter of subjects with sporadic CJD. This imaging finding may provide an additional imaging feature that could be used in the differential diagnosis of CJD, although this needs to be assessed. Our histopathological analyses showed concomitant astrocytic gliosis and microglial activation, with patchy foci of demyelination; although these changes were not statistically correlated with reduced mean diffusivity, this might have been due to insufficient power. We did not find axonal degeneration, which is generally associated with increased mean diffusivity. These imaging and histopathological findings may reflect direct white matter damages occurring during early to middle stages of sporadic CJD, rather than changes secondary to neuronal degeneration/loss.
Funding
Dr S.J. DeArmond was funded by NIH (AG021601); Dr Geschwind was funded by NIH/NIA R01 AG-031189, NIH/NIA K23 AG021989; NIH/NIA AG031220 and Michael J. Homer Family Fund.
Supplementary material
Supplementary material is available at Brain online.
Glossary
Abbreviations
- CJD
Creutzfeldt-Jakob disease
- DTI
diffusion tensor imaging
- DWI
diffusion weighted imaging
- PrPC
the prion protein
- PrPSc
the prion
- TBSS
tract-based spatial statistics
- UCSF
University of California of San Francisco
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