Su Yan1, Guiling Zhang1, Weiyin Vivian Liu2, and Wenzhen Zhu1
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China
Synopsis
The primary aim of this study was to examine the changes
of cortical morphology in patients with unilateral basal ganglia stroke (BS) in
subacute phase and evaluate the discrepancies of structural covariance networks
(SCNs) between BS and HCs groups by using a seed-based structural covariance
approach. The main findings were that BS could cause cortical atrophy of
bilateral frontal and temporal lobes and abnormal structural covariance
patterns, featured by decreased global efficiency and fragile topological
properties in reaction to target attacks. These findings may enable
us to better understand the neurobiological mechanisms of behavioral impairment
and recovery after BS.
Introduction and Purpose
Lesion location of ischemic
stroke is variable and is associated with functional outcome[1].The capsular region is the most common site for
subcortical stroke involving the motor pathway. After occurrence of acute subcortical
stroke, cortex surrounding the isolated subcortical lesions experienced gray
matter atrophy, which is accompanied by changes of structural covariance
network (SCN). The pattern of cortical reorganization largely depends on the location
of the injury [2]. This research aims to study the pattern of cortical
reorganization in the subacute phase of basal ganglia stroke (BS) so as to
better understand brain's macrostructure changes after stroke and to provide a more customized diagnosis reference for rehabilitation
therapy in the early stage of stroke.Methods
With approval of the Institutional
Review Board and signed informed consent of all participants, 26 subacute stroke
patients (stroke onset 2-14 days) whose infarcts were restricted to the basal
ganglia and/or surrounding areas (involving thalamus, coronal radiata) and 25
age- and gender-matched healthy controls underwent MR examinations. T1-weighted
3D brain volume images were captured using a 3.0 T MR scanner (Discovery MR750,
GE Health Care, Waukesha, WI, USA). The Computational Anatomy Toolbox (CAT12) embedded
in the Statistical Parametric Mapping software (SPM12) was utilized to analyze
the differences in cortical morphology (including cortical thickness, sulcus
depth, gyrification index and cortical complexity) between the two groups. We
constructed a SCN according to the Desikan-Killiany atlas with 68 parcels bilaterally.
The Graph-Theoretical Analysis Toolbox (GAT) was used to perform
the graph analysis [3].For the global network index, we analyzed the parameters
both at Dmin and across the density range (0.11–0.45) using area under the
curve (AUC). To explore the vulnerability of the SCNs to targeted and random attacks,
we analyzed the size of remaining giant components of the network in response
to the successively random or targeted removals of nodes.Results
Cortical morphological analysis showed that compared
with healthy controls (HCs), patients with basal ganglia infarction had
cortical thinning in certain areas (p<0.05, FWE corrected), mainly in the
bilateral frontal and temporal cortices rather than in the motor cortex. In
addition, the gyrification index also decreased in the ipsilateral
orbitofrontal gyrus, insula and pars triangularis, overlapping with the thinned
cortex. Global network analysis revealed significantly increased parameters of
clustering coefficient and transitivity representing network segregation and
decreased parameters of global efficiency representing network integration in
the SCNs of BS patients. The AUC difference of global network parameter in the
two groups was consistent with abovementioned description, meaning the decrease
of the global efficiency and the increase of the transitivity and clustering
coefficient in the BS group. Also, the SCNs of BS patients have reduced
resistance to targeted attacks.Discussions and Conclusions
In this study, we investigated
the differences in cortical morphology and SCNs in a cohort of patients with stroke
lesions in the basal ganglia compared with healthy controls. In particular,
those patients underwent MRI examinations in two weeks after stroke occurred. We
found that the cortical thickness of the frontal and temporal cortex decreased
in the early stage. The reduced structural measurements reflect secondary
degeneration due to direct injury or indirect injury through the damage of corresponding
white matter fibers in the cortex[4].
Another longitudinal study[5] showed that the cortical thickness increased from two
weeks to six months after basal ganglia stroke, which may reflect the mechanism
of motor recovery and motor compensation[6]. These findings indicate that these above mentioned areas
may be potential targets for neuromodulation. Neuromodulation reflects structural changes during the course of the basal
ganglia stroke and may lead to plasticity changes in some important
cortical-striatal pathways, which is conducive to the recovery of motor
function.Therefore, consistent with our
findings of decreased cortical thickness in basal ganglia and neighboring
regions, it is essential to conduct follow-up examinations on our recruited
subjects to prove the recovery of motor function.
Besides the cross-sectional
analysis of abnormal cortical morphology in basal ganglia stroke, the SCN analysis of the global
measurements showed that the global efficiency of SCNs in BS patients was
significantly reduced, both under the minimum density threshold and the AUC
curve across multiple network densities. This reduction suggests that the SCNs
in BS patients are sub-optimized, without an optimal balance between
segregation and integration[7]. The network resilience analysis also showed significant
decreased SCNs in BS patients in response to targeted attacks, implying a relatively fragile topology.
Overall, this study revealed the
cortical reorganization pattern and structural covariant network changes in the
subacute phase of basal ganglia stroke patients, providing evidence for
establishing the relationship between cortical morphology and topology
parameters and treatment options.Acknowledgements
Funding: This project was supported by the National
Natural Science Funds of China (Grants No.81730049).References
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