Robust global and widespread local white matter abnormalities in a longitudinal study of juvenile neuronal ceroid lipofuscinosis (CLN3)
Ulrika Roine1, Timo Roine2,3, Antti Hakkarainen3, Anna Tokola3, Marja H. Balk3, Minna Mannerkoski4, Tuula Lönnqvist5, and Taina Autti3

1Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland, 2iMinds-Vision Lab, Department of Physics, University of Antwerp, Wilrijk (Antwerp), Belgium, 3HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 4Child Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 5Department of Child Neurology, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

Synopsis

Juvenile neuronal ceroid lipofuscinosis (CLN3), is a progressive neurodegenerative lysosomal storage disease of the childhood, which manifests with loss of vision, seizures and loss of cognitive and motor functions, and leads to premature death. We investigated global and local white matter microstructure with diffusion MRI in 14 children with CLN3 imaged at two time points. Robust global analysis was performed using whole-brain tractography and white matter tract skeleton. Local microstructural abnormalities were investigated using tract-based spatial statistics. Significantly decreased fractional anisotropy and increased diffusivity values were found in subjects with CLN3 both at the global and local scale.

Purpose

Juvenile neuronal ceroid lipofuscinosis (CLN3) is a neurodegenerative autosomal recessive lysosomal storage disease with a reported incidence of 0.2-7.0 per 100,000 births1-2. It is among the most common progressive childhood encephalopathies, leading to death. First clinical symptoms appear around the age of four to seven. Symptoms include loss of vision, seizures, loss of cognitive and motor functions, ultimately followed by premature death at an age of 16 to 35.

Previous magnetic resonance imaging (MRI) studies have reported progressive hippocampal atrophy3, decreased gray matter volume in the dorsomedial part of the thalamus and decreased white matter volume in the corona radiata4. A diffusion MRI (dMRI) study reported increased apparent diffusion coefficient (ADC) in late infantile neuronal ceroid lipofuscinosis5.

DMRI can be used to noninvasively probe white matter microstructure and connectivity6. Recent advances, such as constrained spherical deconvolution (CSD)7, have enabled the reliable reconstruction of neural tracts through regions with complex (e.g. crossing) fiber configurations8-10, present in the majority of white matter11.

Here, we investigated global white matter microstructure in CLN3 using whole-brain CSD-based tractography12-13 and white matter tract skeleton14. In addition, local microstructural abnormalities were investigated using tract-based spatial statistics (TBSS)14.

Methods

Material and preprocessing

We acquired dMRI and T1 data from 14 patients with CLN3 and 14 age-matched controls in 32 gradient orientations using b=1000 s/mm2 and 2 mm isotropic voxel size with a Philips 3.0T machine. Patients were 9.6±3.4 years during the first acquisition and 11.4±3.2 years during the second acquisition (N=12). The age of control subjects was 11.2±2.3 years. The difference in age was not statistically significant.

Global microstructural analyses

Whole-brain probabilistic tractography was performed to reconstruct fiber tracts with CSD in ExploreDTI7,12-13. Subject motion15, eddy current and echo-planar imaging induced distortions16 were corrected. In addition, fractional anisotropy skeleton was reconstructed as published in 14. Mean values for fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and coefficient of planarity (CP)17 were calculated across the whole tractogram and skeleton. Statistical analyses were performed with general linear model by using age and gender as covariates.

Local microstructural analyses

Local microstructural analyses were performed with TBSS14 in FMRIB Software Library (FSL)18. Subject motion and eddy current induced distortions were corrected with FSL’s EDDY-tool19. In TBSS, mean FA skeleton of the whole sample is reconstructed, onto which individual subjects’ skeletons are then projected. Statistical analyses were performed using permutation tests and threshold-free cluster enhancement with FSL’s randomize tool20.

Results

Global microstructural analyses

We found significantly decreased FA and CP values, and significantly increased AD, RD, and MD values in subjects with CLN3. The results were similar for the first and second acquisition. The largest relative difference was in the FA values using the tractography approach (-15% difference) (p=0.000001). There were no significant differences between the two acquisitions in subjects with CLN3. The analyses between the two acquisitions were repeated without using age as a covariate, resulting in no significant differences. Results are presented in Table 1.

Local microstructural analyses

With TBSS, we found widespread voxel-wise decreases in FA as shown in Fig. 1, for example in corona radiata (P=0.006) and posterior thalamic radiation (P=0.002) (Fig. 2). In addition, MD (Fig. 3), AD, and RD were increased and CP was decreased in many regions.

Discussion

Highly decreased FA values were found in subjects with CLN3 consistently using all approaches and the differences were distributed across the whole brain. In addition, diffusivity metrics were increased and CP was decreased in children with CLN3. The diffusivity results are in concordance with the previous dMRI study5.

We showed, by investigating CP17, that the decrease in FA was not caused by an increase in the complexity of fiber organization21. As CP was decreased in children with CLN3, its effect to FA would be to the opposite direction. Possible remaining causes for the FA difference include decreased fiber coherence22 and decreased myelination23.

The skeleton-based approach24 and CSD-based tractography25-26 both have their limitations. Therefore, we performed analyses with both methods, differing in their limitations. However, a limitation is that the acquisition was suboptimal for CSD27.

As there were no significant differences between the two acquisitions in children with CLN3, the microstructural white matter abnormalities may be present in early childhood or even in infancy.

Conclusion

Global and widespread local differences in white matter microstructure were found in children with CLN3 in both time points. Decreased FA and CP, and increased MD, AD and RD values were consistently found with all applied methods.

Acknowledgements

T.R. received support from the Instrumentarium Scientific Foundation, Finland.

References

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Figures

Table 1. Global microstructural differences in children with juvenile neuronal ceroid lipofuscinosis (CLN3) with both skeleton and tractogram approaches. Abbreviations: FA: fractional anisotropy; MD: mean diffusivity; AD: axial diffusivity; RD: radial diffusivity; CP: coefficient of planarity. *Age and gender were used as covariates.

Fig. 1. Tract-based spatial statistics results for decreased fractional anisotropy in subjects with juvenile neuronal ceroid lipofuscinosis visualized on coronal (A), sagittal (B) and axial (C) slices. The white matter tract skeleton is visualized in green, and the significant results from red (p=0.05) to yellow (p<0.01).

Fig. 2. Decreased fractional anisotropy in subjects with juvenile neuronal ceroid lipofuscinosis in the left posterior thalamic radiation (sagittal slice 124) (A) and right posterior corona radiata (sagittal slice 64) (B). The white matter tract skeleton is visualized in green, and the significant results from red (p=0.05) to yellow (p<0.01).

Fig. 3. Tract-based spatial statistics results for increased mean diffusivity in subjects with juvenile neuronal ceroid lipofuscinosis visualized on coronal (A), sagittal (B) and axial (C) slices. The white matter tract skeleton is visualized in green, and the significant results from red (p=0.05) to yellow (p<0.01).



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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