10.5061/DRYAD.121HS31
Harrison, Ian F.
University College London
Siow, Bernard
The Francis Crick Institute
University College London
Akilo, Aisha B.
University College London
Evans, Phoebe G.
University College London
Ismail, Ozama
University College London
Ohene, Yolanda
University College London
Nahavandi, Payam
University College London
Thomas, David L.
University College London
Lythgoe, Mark F.
University College London
Wells, Jack A.
University College London
Data from: Non-invasive imaging of CSF-mediated brain clearance pathways
via assessment of perivascular fluid movement with DTI MRI
Dryad
dataset
2018
Aβ
Glymphatics
Alzheimer’s disease
MRI
Interstitial fluid
Cerebral spinal fluid
amyloid
Perivascular
Diffusion Tensor
Paravascular
National Science Foundation
https://ror.org/021nxhr62
NA
2018-08-01T14:54:13Z
2018-08-01T14:54:13Z
en
https://doi.org/10.7554/elife.34028
7411757 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The glymphatics system describes a CSF-mediated clearance pathway for the
removal of potentially harmful molecules, such as amyloid beta, from the
brain. As such, its components may represent new therapeutic targets to
alleviate aberrant protein accumulation that defines the most prevalent
neurodegenerative conditions. Currently, however, the absence of any
non-invasive measurement technique prohibits detailed understanding of
glymphatic function in the human brain and in turn, it's role in
pathology. Here, we present the first non-invasive technique for the
assessment of glymphatic inflow by using an ultra-long echo time, low
b-value, multi-direction diffusion weighted MRI sequence to assess
perivascular fluid movement (which represents a critical component of the
glymphatic pathway) in the rat brain. This novel, quantitative and
non-invasive approach may represent a valuable biomarker of CSF-mediated
brain clearance, working towards the clinical need for reliable and early
diagnostic indicators of neurodegenerative conditions such as
Alzheimer's disease.
All data from study in achieved folder.Data from each subject (rat) saved
as individual nifti file. part 1: multi_direction_diffusion_weighted
(MDDW, n=10); part 2: diffusion tensor imaging (DTI, n=6); part 3: ECG
gated (n=5); part 4: dobutamine (n=6). For the ECG data (part 3) the
imaging data is saved as a 4D array with the 4th dimension equal to 2. The
first element corresponds to the 36ms delay to the r wave (i.e arterial
pulsation) and the second element corresponds to the 116ms delay (i.e
diastole). For the dobutamine data (part 4), the data is also saved as a
4D array with the same dimensions. The first element of the 4th dimension
corresponds to the baseline measurement and the second element corresponds
to the measurement after dobutamine (rats 1-3) or saline vechicle (rats
4-6).Dryad_data.7z