The insidious degeneration of white matter and cognitive decline in Fabry disease
Data files
Nov 04, 2025 version files 1.09 GB
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C11.tar.gz
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README.md
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Abstract
Fabry disease is a rare X-linked deficiency of lysosomal alpha-galactosidase that causes glycolipid accumulation in tissues, including the brain. The most common neurologic sequelae of Fabry are cognitive decline and white matter lesions (WMLs) on brain magnetic resonance imaging (MRI). In the at-large population, however, WMLs are non-specific, highly prevalent, and most are clinically silent. Thus, we compared Fabry to typical brain aging to identify factors unique to Fabry-related cognitive decline. Twenty adult Fabry patients (75% female; median age 36.4 yrs, range: 19.8-63.2 yrs; 95% on enzyme replacement therapy) without a history of stroke or other neurologic diseases and 20 age/sex-matched healthy controls were enrolled in a case-control study. All participants underwent a neurocognitive assessment and a 3.0 T MRI study of the brain that used structural MRI (e.g., fluid-attenuated inversion recovery, FLAIR), semi-quantitative MRI (e.g., normalized FLAIR signal intensity), and quantitative MRI (diffusion tensor imaging, bound-pool fraction imaging). During a blinded review of structural MRIs, a neuroradiologist’s categorization of case-control status did not correspond to disease status (Fisher’s test, P>0.99) but rather to age (P=0.004), indicating qualitative changes associated with Fabry were similar to normal age-related brain alterations. Using quantitative MRI, however, we detected evidence of microstructural damage in the white matter of younger Fabry adults (<40 yrs). With age, WML severity increased and the corpus callosum atrophied in Fabry, phenomena absent in controls and consistent with progressive tissue damage. Neurocognitive assessments identified trends for lower verbal intelligence quotient and executive function in the younger Fabry participants, which became statistically significant in the older Fabry patients. Our data suggest that the early onset of microstructural damage in Fabry drives the insidious degeneration of white matter, leading to impaired cognition. Aging Fabry patients may benefit from serial cognitive assessments to identify unmet therapeutic needs.
Dataset DOI: 10.5061/dryad.gb5mkkx3g
Description of the data and file structure
Magnetic resonance imaging files for each study participant are located in the participant's study ID folder.
F = Fabry participant, C = healthy control participant
Data in DICOM format is available in the subfolder that contains the following strings:
DTI = diffusion tensor imaging
FLAIR = fluid attenuated inversion recovery
T2W = T2-weighted
MP_Rage = magnetization prepared rapid acquisition gradient echo
MT = magnetization transfer:
4000 = off-resonance of 4 kHz
8000 = off-resonance of 8 kHz
96000 = off-resonance of 96 kHz
VFA = variable flip angle:
3 = 3 degree flip angle
10 = 10 degree flip angle
15 = 15 degree flip angle
Because DICOM format does not permit complex numbers, data used to generate B0 and B1 maps are shared in matrix format (i.e., RAW data in .mat format) in the "B0_Map" and "B1_Map" subdirectories, respectively.
To access a participant's B0 data using Matlab, change the Matlab directory to the participant's "B0_Map" folder, and type at the Matlab prompt:
load("b0map_masked.mat")
Three matrices (each of size 128x128x60) will open:
(1) S0 and (2) S1, which can be used to compute B0 using the dual-TE phase method governed by the following Matlab equations:
B0 = 0.5*angle((S1.*conj(S0).^2);
B0 = B0*180/pi;
(3) B0 is the computed B0 field after 3D smoothing.
To access a participant's B1 data using Matlab, change the Matlab directory to the participant's "B1_Map" folder, and type at the Matlab prompt:
load("b1map_masked.mat")
Three matrices (each of size 128x128x60) will open:
(1) S1 and (2) S2, which can be used to compute B1 using the actual flip-angle imaging method governed by the following Matlab equations:
tr1 = 25 ms; % TR1 acquisition parameter
tr2 = 125 ms; % TR2 acquisition parameter
alpha = 60; % acquisition flip-angle
r = S2./S1;
n = tr2 / tr1;
act_alpha = acos((r*n - 1)./(n - r)) * 180/pi;
B1 = real(act_alpha/alpha;
B1(isnan(b1)) = 0;
B1(isinf(b1)) = 0;
(3) B1 is the computed B1 field after 3D smoothing.
All DICOM header files have been anonymized using Matlab's "dicomwrite" command to convert a 2D matrix to DICOM file.
All DICOM and RAW data image files have undergone skull stripping using Matlab morphology operators.
Files and variables
File: F980.tar.gz
Description: Fabry participant
File: F921.tar.gz
Description: Fabry participant
File: F878.tar.gz
Description: Fabry participant
File: F888.tar.gz
Description: Fabry participant
File: F768.tar.gz
Description: Fabry participant
File: F632.tar.gz
Description: Fabry participant
File: F876.tar.gz
Description: Fabry participant
File: F592.tar.gz
Description: Fabry participant
File: F605.tar.gz
Description: Fabry participant
File: F589.tar.gz
Description: Fabry participant
File: F576.tar.gz
Description: Fabry participant
File: F543.tar.gz
Description: Fabry participant
File: F467.tar.gz
Description: Fabry participant
File: F372.tar.gz
Description: Fabry participant
File: F444.tar.gz
Description: Fabry participant
File: F342.tar.gz
Description: Fabry participant
File: F333.tar.gz
Description: Fabry participant
File: F146.tar.gz
Description: Fabry participant
File: F123.tar.gz
Description: Fabry participant
File: F222.tar.gz
Description: Fabry participant
File: C93.tar.gz
Description: Healthy control participant
File: C99.tar.gz
Description: Healthy control participant
File: C87.tar.gz
Description: Healthy control participant
File: C85.tar.gz
Description: Healthy control participant
File: C77.tar.gz
Description: Healthy control participant
File: C76.tar.gz
Description: Healthy control participant
File: C63.tar.gz
Description: Healthy control participant
File: C61.tar.gz
Description: Healthy control participant
File: C64.tar.gz
Description: Healthy control participant
File: C51.tar.gz
Description: Healthy control participant
File: C44.tar.gz
Description: Healthy control participant
File: C33.tar.gz
Description: Healthy control participant
File: C32.tar.gz
Description: Healthy control participant
File: C55.tar.gz
Description: Healthy control participant
File: C42.tar.gz
Description: Healthy control participant
File: C27.tar.gz
Description: Healthy control participant
File: C16.tar.gz
Description: Healthy control participant
File: C62.tar.gz
Description: Healthy control participant
File: C13.tar.gz
Description: Healthy control participant
File: C11.tar.gz
Description: Healthy control participant
Code/software
A DICOM viewer is necessary to visualize the data in DICOM format. To access the B0 and B1 data, a Matlab license is necessary.
Human subjects data
The magnetic resonance images were anonymized by using the participant's randomly-generated study identifier instead of the participant's name at the time of image acquisition. The images do not contain any personally identifiable information (PII; e.g., name, date of birth, etc.). All participants consented to publish the de-identified data in the public domain.
