Minhui Ouyang1, Jennifer Muller1, Hua Cheng2, Yun Peng2, J. Christopher Edgar1,3, Timothy P.L. Roberts1,3, and Hao Huang1,3
1Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Radiology, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China, 3Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
A
pattern of local or short-distance “over-connectivity” and long-range
under-connectivity is frequently hypothesized in individuals with autism
spectrum disorder (ASD). Little is known about the spatiotemporal
characterization of structural short-distance connections in typically
developing (TD) children or children with ASD. We hypothesized that altered
trajectories of short-range association fibers (SAF) are not uniform across the
brain regions, with abnormal maturation primarily observed in higher-order but
not in primary sensory brain regions in children in ASD. Here, we quantified
SAF with a novel index defined as normalized SAF (NSAF) based on diffusion MRI
tractography, and characterized its trajectories across brain regions.
Purpose
The pattern of local or short-distance “functional over-connectivity”,
in parallel to the long-range under-connectivity, has been frequently suggested
in individuals with autism spectrum disorder (ASD) [1-6]. Both functional and
structural long-distance connectivity appears to be weaker in ASD than in
controls [e.g. 7-8]. However, little is known about spatiotemporal
characterization of “structural” short-distance connections in typically
developing (TD) children or children with ASD. We hypothesized that altered
trajectories of short-range association fibers (SAF) are not uniform across
brain regions, and altered trajectories occur in higher-order brain regions in
children in ASD. We quantified SAF across the brain regions with a novel index
defined as normalized SAF (NSAF), defined as the ratio of the number of SAF to
the number of all cortico-cortical connectivity fibers (sum of SAF and long-range association fibers, LAF) traced from a given gyrus with
diffusion MRI (dMRI) tractography. The goal is to delineate the cortical gyri whose
age-dependent short-range connections undergo altered trajectories in children
with ASD aged 2-7 years versus age-matched children with TD. The delineated
over-connectivity may provide structural basis for the functional over-connectivity
often reported in ASD [1-3]. Methods
Participants: 31 children with ASD
aged 2-7 years and 20 age-matched TD children participated. Acquisition of dMRI and T1-weighted
image: All MR scans were performed on a 3T Philips Achieva MR system.
dMRI were acquired using single-shot EPI with SENSE=2.3. Other parameters were:
TR/TE=7960/83ms, FOV=256x256mm2, imaging
resolution=2x2x2mm3, 70 slices, 30 independent diffusion-weighted
directions, b-value=1000sec/mm2. T1-weighted images
were acquired using MPRAGE sequence with imaging resolution=1x1x1mm3.
Fiber tracing from a parcellated cortical
gyrus:
Using the T1-weighted image, the brain cortical surface was rendered
and parcellated into 68 gyral labels [9] using Freesurfer(http://surfer.nmr.mgh.harvard.edu). Fiber assignment of continuous tractography (FACT) [10] was used to
trace the whole brain fibers for all subjects in DiffusionToolkit(http://www.trackvis.org/dtk/) with an angular
threshold of 60o. Using inferior parietal gyrus(IPG) as an example,
the parcellated cortical ribbon transformed from T1-weighted image space(Fig. 1a)
to dMRI space(Fig. 1b) was then dilated by 8 mm (in green, Fig. 1b) with in-house
program to get through the dense white matter zone [11]. All association fibers
traced from IPG are shown in Fig. 1c. Categorization
of long- and short-range fibers based on termination location of the other end
of fibers: The adjacent and non-adjacent gyral labels of each cortical gyrus
were identified. Using IPG (shown in green, Fig. 1d)
as an example, its adjacent gyri are SPG(yellow), LOG(red) and SMG(blue). All
other gyri are non-adjacent gyri for IPG. Association fibers initiated from IPG
can then be categorized into short- and long-range based on the other end of the
fibers terminating in adjacent and non-adjacent gyri to IPG, respectively(Fig. 1e).
Developmental curves of
regional NSAF in both ASD and TD groups: Regional NSAF of a certain
gyrus was calculated as the ratio of the number of SAF to total number of
cortico-cortical fibers (sum of SAF and LAF)
connecting to this gyrus. To investigate the developmental curve of regional NSAF,
linear regression was performed between NSAF values and age in four
representative functional regions: prefrontal cortex, default-mode network
(DMN) hub (precuneus cortex), primary somatosensory (S1) and primary visual
(V1) cortex.Results
Fig. 2 demonstrates the developmental curves of regional NSAF from two
representative higher-order functional regions in TD and ASD. The
three-dimensionally reconstructed LAF (green) and SAF (red) connected to the
cortical region are also shown on the top of Fig. 2. In higher-order functional
regions, in the TD group the NSAF value decreased significantly from 2 to 7
years in both prefrontal cortex (p=0.05, Fig. 2a) and DMN-hub (p=0.04, Fig. 2b). In
contrasts, in ASD the NSAF values from these two regions were not significantly
associated with age (p>0.05, Fig. 2), indicating atypical maturation of
short-range connectivity. On the other hand, in the TD group the NSAF from primary
sensory regions such as V1 and S1 were not significantly associated with age
(p>0.05). Similarly, in ASD, associations between regional NSAF of S1 or V1 and
age were also not observed.Discussion and conclusion
The proposed NSAF metric revealed that the age-dependent trajectories of
short-range connections in children with ASD are altered in higher-order but
not in primary sensory brain regions. The non-uniform alterations indicate that
higher-order brain regions are of specific interest in children with ASD aged 2-7
years. Gradual decreases of NSAF in higher-order brain regions were found in
normal brain development. The findings from this study may offer structural
basis for the functional “over-connectivity” described in ASD [1-3]. Analysis
of functional short-range connectivity with functional MRI data is under way.Acknowledgements
This study is funded by NIH MH092535, MH092535-S1,
HD086984 and MH107506.References
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