Lei Wei1, KeLiang Chen2, and He Wang1,3
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, shanghai, China, 2Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China, ShangHai, China, 3Human Phenome Institute, Fudan University, Shanghai, China, Shanghai, China
Synopsis
The Gordon-Holmes syndrome is an rare condiion caused by mutation of genes, few study has reported the finding of GHS by neuroimaging, but several studies has found the white matter abnormal in GHS brain. According the tracking based analysis. The different quantitative diffusion parameters suggest the white matter abnormal from different aspects. We firstly iinvestigated the white matter abnormal of GHS in the distribution of each diffusion property.
Introduction
The
Gordon-Holmes syndromes (GHS) is a rare condition characterized by cerebellar
ataxia/atrophy and reproductive problems, such as the hypogonadotropic, cognitive decline, dementia, and movement disorders1.
GHS can be caused by mutations in genes of RNF216, PNPLA6, OTUD4, STUB1, and POLR3A/3B/1C2. The previous study has reported the whole brain white
matter hyperintensity and global white matter integrity loss in GHS patients3. In our present study, two patients
were diagnosed with GHS, and the tracking based analysis was used to determine
the specific white matter pathway alteration quantitatively. Methods
MRI acquisition
and participants
MRI
data were acquired on a 3T scanner (Simens Prisma). The DTI data was scanning with
simultaneous
multislice (SMS) imaging techniques, totally 90
diffusion directions (b value =1500,3000 s/mm2) and 10 b0 image was
acquired with an isotropic 1.5mm resolution. Two patients and five age-matched
healthy controls were included in our study.
Patient 1
(male, 35 years old) presented with onset slurring and slow speech, developed
cerebellar syndrome and cognitive impairment, with a history of azoospermia at
age of 28. Screening of patient’s DNA for genes related to neurological disease
revealed one novel homozygous nonsense variant in gene RNF216, c.1948G>T;
p.E650X. Patient 2 (female, 32 years old) started to choreatic movements of
both hands, slowly progressing to head, face, and four extremities, with
prominent cognitive deterioration. We found a homozygous deletion on exon 2 of
RNF216. White matter lesions in cerebral hemispheres and brainstem, cerebellar
atrophy and low gonadotropin serum levels could be demonstrated in both
patients.
DTI deterministic
tractography
Firstly,
the diffusion data were reconstructed in the MNI space using q-space
diffeomorphic reconstruction4
to obtain the spin distribution function. A deterministic fiber tracking
algorithm was used5. The anisotropy threshold was 0.2. The angular
threshold was 60 degrees. The step size was 0.25 mm. Tracks with the length shorter
than 30 or longer than 300 mm were discarded. A total of 50000 seeds were
placed for each seed tracking. The anatomy prior to a tractography atlas6 was
used to determine the specific tracts. The mean FA, fiber number, axial
diffusivity, radial diffusivity were used to investigate the GHS patients' white
matter characteristics. Results
The T2-weighted image indicates the multiple cerebral white matter and cortical change
in the whole brain, such as the cerebellar atrophy and global white matter
hyperintensities (figure.1). The tracking based analysis revealed a significant
change of diffusion properties in each atlas specific pathway. Here, three main
white matter pathways were performed in our present article, including the
corpus callosum, cortical striatal pathway, and the arcuate fasciculus
(figure.2-4). The changes in diffusion parameters were shown in each pathway
(table.1). Discussion
The
results indicate the whole brain white matter abnormal in our case. The reduce
of FA and increase of RD suggest the impairment of integrity and the
demyelination of patients’ white matter. The increase of AD suggests the early
aging process has occurred in GHS patients7.
The distribution parameter maps may help to locate the possible white matter
abnormal origin. Acknowledgements
This work was supported by Shanghai Municipal Science and Technology Major Project (No.2017SHZDZX01), Shanghai Municipal Science and Technology Major Project (No.2018SHZDZX01) and ZJLab, Shanghai Natural Science Foundation (No. 17ZR1401600) and the National Natural Science Foundation of China (No. 81971583).References
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