Chenying Zhao1,2, Minhui Ouyang1, and Hao Huang1,3
1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
Short-range
association fibers (SAFs) linking adjacent cortices, are dominant in connectome
and altered in psychiatric disorders such as autism and schizophrenia. However,
few atlases are dedicated to SAFs. Higher inter-subject variation and large
amount of SAFs impede their identification with traditional methods for
long-range fibers. To meet these challenges, we built the SAF atlas using STTAR
(Short-range Tractography with
high Throughput And Reproducibility), a novel and
advanced protocol designed for SAFs. Here, we demonstrated the SAF atlas in
parietal lobe, featured with reproducibly and comprehensively traced SAFs readily
usable in 3D volume format in the ICBM152 space.
Purpose
Short-range association
fibers (SAFs), which link adjacent cortical regions, take the major portion in
the structural connectome [1]. Alterations of SAFs have been found in neuropsychiatric
diseases, such as autism [1,2] and schizophrenia [1,3,4]. Currently, most
studies focused on long-range association fiber tractography, whereas few tractography
algorithms or atlases were designed for identifying SAFs. One of the challenges
is higher inter-subject variation in their shapes and terminations [5,6], raising the difficulties in identifying
and labeling huge amount of SAFs. Here we aimed to build a reproducible SAF
atlas with novel and advanced protocol designed for short-range tractography, STTAR,
or Short-range Tractography with high Throughput And
Reproducibility [7]. STTAR is characterized by resolving crossing fiber
issue, producing high-throughput SAFs, with fewer false-positives, and with
high reproducibility [7]. Methods
Overview
of SAF atlas building with STTAR protocol (Figure 1): The SAF atlas was built with STTAR tracing
and clustering protocol [7]. STTAR is composed of streamline-tracing with a
regularized FDT probabilistic tractography and semi-automatic identification of
reproducible SAFs with novel hierarchical density-based spatial clustering of
applications with noise (HDBSCAN). Reproducible clusters were registered into
ICBM152 space and merged as STTAR-based SAF atlas.
Ten subjects
aged 22-25 years from Human Connectome Project (HCP) were included. Multi-shell
diffusion MRI (dMRI) was acquired with 90 directions in each shell of
b=1000,2000,3000 s/mm2 and EPI-distortion was corrected.
STTAR
tracing: The
dilated cortical regions from FreeSurfer parcellation were used as seed ROIs. FDT (FMRIB’s Diffusion
Toolbox) bedpostx [8-10] was applied for local fiber orientation estimation
with two fibers per voxel. Probtrackx [8,9] was used for streamline tracing of
SAF, with 10 seeds per voxel and traced in opposite directions from the seed. Streamlines
connecting adjacent cortical regions were filtered with 1) NOT ROI of CSF,
cerebellum, brainstem, subcortex, and white matter and gray matter in the other
hemisphere; 2) length threshold of 10-110mm.
STTAR
clustering: Euclidean
distance between sampled points from pairs of fibers was calculated and distance
matrix of all SAFs connecting a pair of adjacent cortical regions was built. Novel
density-based algorithm HDBSCAN was applied on the distance matrix with
parameters as follows: minimal points=1; minimal clusters size ranged from 10
to 80 depending on the total number of SAFs for clustering.
SAF atlas building: The clustered SAF streamlines were registered
into ICBM152 space with affine registration. Within one cluster, five fibers
with lowest distance to other fibers were selected as centroid fibers
representing the cluster. Individual’s clusters with similar terminations in
cortex and shape and found in at least 80% of subjects were grouped as one
reproducible cluster, and their registered centroid fibers from individuals
were fused as representative fibers of this cluster in the SAF atlas.
Probabilistic maps were built: the registered fibers were converted to binary
images, and these images were then averaged across subjects to generate
probabilistic map for each cluster. Here we demonstrated the SAF atlas in
parietal lobe.Results
Figure 2 and 3
demonstrated SAF atlas in two example pairs of cortical regions. With STTAR
protocol, not only the clusters previously identified in literature (e.g., Figure 2 red cluster;
Figure 3 red and green clusters), but also those not reported in existing atlas
[11] (e.g., Figure 2
green cluster; Figure 3 blue cluster) could be consistently identified in at
least 90% of all subjects. In total, ten reproducible clusters were found in the
left parietal lobe (Figure 4 and 5). Even though SAF clusters were spatially close
to each other (Figure 4A), they were well separated with STTAR protocol (Figure
4B and Figure 5A). The probabilistic maps showed the reproducible trajectories
of SAFs, with higher value representing better reproducibility. The contours of
the probabilistic maps overlaid on colormap delineated the anatomy and unique
shapes of these SAFs. For example, cluster #1 and #2 connecting supramarginal
gyrus (SMG) and superior parietal gyrus (SPG) showed open U- and close U-shape
(Figure 4); cluster #2 connecting postcentral gyrus (PoCG) and SPG had thinner contour
than cluster #1 (Figure 4). Low FA (or intensity of colormap) was found in most
of SAF cluster trajectories. Discussion and Conclusions
Even though
variability of SAF is higher than long-range association fibers [5], and mostly
located in the superficial white matter [1] (e.g. Figure 4E and 5D, contour
maps), high reproducibility of SAF clusters was still achieved using our STTAR protocol.
New clusters found in this STTAR-based SAF atlas compared to existing atlas [11]
showed a good coverage of SAFs. New clusters and high reproducibility also
validated the features of high throughput and reproducibility of STTAR. Unique
shapes and locations of SAF reproducible clusters provides an anatomical reference
for characterizing these clusters. To use this SAF atlas, users can simply register
the probabilistic map into individual space for identifying reproducible SAF
clusters in a new subject without manual delineation. Taken together, this SAF
atlas is featured with reproducibly and comprehensively traced SAFs readily
usable in 3D volume format in the ICBM152 space. Therefore, this STTAR-based SAF
atlas can be a useful resource for neuroscience and neuropsychiatric disorders
research in SAF. Atlas covering all lobes and built from more subjects is
underway.Acknowledgements
This study is
funded by NIH MH092535, MH092535-S1 and HD086984.
Data were
provided by the Human Connectome Project, WU-Minn Consortium (Principal
Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the
16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience
Research; and by the McDonnell Center for Systems Neuroscience at Washington University.
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