Xin Wang1, Caihong Wang1, Jingchun Liu2, Jun Guo3, Peifang Miao1, Ying Wei1, Kaiyu Wang4, Jingliang Cheng1, and Cuiping Ren1
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China, 3Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China, 4MR Research China, GE Healthcare, Beijing, China
Synopsis
Keywords: Stroke, Brain
We aimed to investigate
the static and dynamic characteristics of brain activity after stroke by using
functional magnetic resonance imaging (fMRI). Seventy-three patients with pontine
ischemic stroke and
50 healthy controls (HCs) were recruited and received a resting-state fMRI
scanning. Our result shows that there are significantly altered sALFF/dALFF and
sReHo/dReHo
values in the
brain regions of patients. And the alterations of dynamic
brain activity in the basal ganglia and cerebellum were correlated with the
degree of cognitive impairment. Static and dynamic biomarkers can be combined together
to provide more comprehensive information on potential therapeutic targets.
Introduction
Pontine
infarction (PI) is the most common type of stroke in the posterior circulation territory, accounting
for approximately 7% of all ischemic strokes[1]. Clinical symptoms caused by
solitary pontine infarction include motor dysfunction[2] and cognitive impairment[3]. However, the underlying
mechanism is presently unknown. Resting-state functional magnetic resonance
imaging (rs-fMRI) is a promising tool for exploring the functional alterations in
the human brain by detecting spontaneous brain activity through low-frequency
fluctuations in blood oxygen level-dependent (BOLD) signals. The amplitude of
low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) are two of
the primary methods of rs-fMRI. In addition, dynamic measurements have the
ability to capture recurring brain activity[4], such as dALFF and dReHo.
Dynamic research may supplement the deficiencies in static alterations, and
their combination may offer a more comprehensive explain for neuropathological
changes in chronic PI. However, most studies have used only one or two static
or dynamic rs-fMRI parameters to evaluate local or overall functional changes.
In this study, we integrated the observation of static and dynamic alterations in
the resting-state local metrics including static ALFF (sALFF), static ReHo (sReHo),
dynamic ALFF (dALFF), and
dynamic ReHo (dReHo) to explore changes in
anomalous spontaneous brain activity in the pontine infarction.
The analysis of receiver operating characteristic (ROC) was conducted to assess
the potential clinical significance of the above methods.Methods
Seventy-three
right-handed patients with unilateral pontine infarction consisting of 42
patients with left pontine ischemic (LPI group) and 31 patients with right pontine
ischemic (RPI group) were recruited, as well as 50 right-handed healthy
controls (HCs) with closely matched age, gender, and education to the patients.
All
rs-fMRI and T1-weighted images were obtained on a 3.0-Tesla MR imaging system
(Discovery MR 750, GE Medical Systems, Waukesha, WI, United States).
Parameters for rs-fMRI sequence were as the following : repetition time (TR) =
2,000 ms, echo time (TE) =41 ms, FOV = 220 × 220 mm, flip angle (FA) = 90◦,
matrix = 64×64,
thickness = 4.0 mm, number of slices = 32, 0.5 mm gap, 190 time points. The 3D T1-weighted images were acquired with a brain
volume (BRAVO) sequence, and imaging parameters were as follows: TR/TE = 8.2 ms/3.2 ms;
188 slices; thickness = 1.0 mm; no gap; FA = 12◦; acquisition matrix = 256 ×
256; FOV = 256 × 256 mm. The
inclusion criteria were patients with first-onset ischemic stroke and
chronic-stage pontine infarction. Ray Auditory Verbal Learning Test
(RAVLT) and the response accuracy (ACC) of the Spatial 1-back task for
each subject was calculated.Result
As
is shown in Figure1, compared with the HCs group, the LPI
group showed significantly increased sALFF
in the left inferior temporal gyrus (ITG_L), left caudate nucleus (CN_L), and right caudate nucleus (CN_R). The RPI group showed increased sALFF in the left caudate nucleus (CN_L) and right
caudate nucleus (CN_R), and decreased sALFF in the right cuneus (CUN_R) and
left superior occipital gyrus (SOG_L). For dALFF,
the LPI group showed significantly increased dALFF in the
left inferior temporal gyrus (ITG_L), while the RPI group showed increased dALFF in the left
globus pallidus (GP_L), left putamen (PUT_L),
right caudate nucleus (CN_R), and left inferior temporal gyrus (ITG_L), and decreased
dALFF in the right
cuneus (CUN_R), left superior occipital gyrus (SOG_L), and right middle
temporal gyrus (MTG_R).
No
significant differences in sReHo were observed between NC and LPI groups. The
RPI group showed significantly decreased sReHo in the right cuneus (CUN_R) and
left superior occipital gyrus (SOG_L). For dReHo,
the LPI group showed significantly increased dReHo
in the left middle temporal gyrus (MTG_L) and decreased dReHo
in the right cerebellar lobule VIII (CBE lobule
VIII_R). And the RPI group showed significantly decreased dReHo
in left middle cingulate cortex (MCC_L) (Figure2).
In
figure 3, correlation analysis showed that the dALFF in the GP_L and PUT_L in RPI group was negatively
correlated with RAVLT scores (p=0.004, r=-0.532) and with Spatial 1-back ACC (p=0.005, r=0.-508). The altered dReHo in the CBE lobule
VIII_R was positively correlated with Spatial 1-back ACC (p=0.008, r=0.404).
The ROC curves of sALFF/dALFF and sReHo/dReHo were presented in Figure 4 and 5,
indicating that sALFF/dALFF and sReHo/dReHo have comparable performance in
distinguishing PI patients from the HCs.Discussion and conclusion
In
our study, PI patients showed abnormal brain activity in the basal ganglia,
visual cortices and cerebellum, which may reflect
impaired visual and memory function. The alterations of dynamic brain activity
in the basal ganglia and cerebellum were correlated with the degree of cognitive
impairment. Furthermore, ROC analysis demonstrated that sALFF/dALFF and
sReHo/dReHo had comparable capacity to differentiate PI patients from HCs. Static and dynamic findings can be combined together to
provide more comprehensive information for potential therapeutic targets. Acknowledgements
We are deeply grateful to our participants and their families for their
generous support for our study. References
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Gonzalez-Castillo J, et al. Whole-brain connectivity dynamics reflect both
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