Abstract
Background: The differentiation of large vessel occlusion caused by intracranial atherosclerotic stenosis (ICAS) or intracranial embolism significantly impacts the course of treatment (i.e., intravenous thrombolysis versus mechanical thrombectomy) for acute cerebral infarction. Currently, there is no objective evidence to indicate ICAS-related middle cerebral artery M1 segment occlusion before treatment. In cases of ICAS, it is often observed that the infarct core caused by ICAS-related M1 segment middle cerebral artery occlusion (MCAO) is located in deeper parts of the brain (basal ganglia or semiovoid region).
Objective: To evaluate whether the location of the infarct core, identified using diffusion-weighted imaging (DWI), can be used to differentiate ICAS from intracranial embolism.
Methods: Thirty-one consecutive patients diagnosed with acute cerebral infarction caused by middle cerebral artery M1 segment occlusion were retrospectively included based on angiographic findings to distinguish ICAS from embolic occlusion. Patients were divided into two groups based on the location of the infarct core on DWI: in the deep part of the brain (basal ganglia or semiovoid region) or more superficially (i.e., cortex).
Results: In 16 patients, the infarct core was mainly in the deep part of the brain on DWI [14 of 16 patients in the ICAS group and only 2 in the non-ICAS group (93.3 vs. 6.7%, respectively; P < 0.001)]. The diagnostic sensitivity of DWI for ICAS was 93.3%, with a specificity of 87.5%, a Positive predictive value (PPV) of 87.5%, and an Negative predictive value (NPV) of 93.3%, the accuracy was 88.5%.
Conclusion: Intracranial atherosclerotic disease-related acute MCAO can be predicted using DWI.
Introduction
More than 80% of strokes are ischemic in nature, 25–35% of which result from large vessel occlusion. Patients with large vessel occlusion often experience severe neurological deficits (). Without timely and appropriate treatment, these patients have a poor prognosis. Large vessel occlusions are usually caused by intracranial atherosclerotic stenosis (ICAS) or intracranial embolism. ICAS accounts for 22.9% of cases in Asia ().
For acute ischemic stroke caused by intracranial embolism (; ; ; ; ; ), mechanical thrombectomy is an effective treatment. Patients diagnosed with cerebral embolism can be directly treated with mechanical thrombectomy without intravenous thrombolysis for shortening the recanalization time. For patients with large vessel occlusion caused by ICAS, however, platelet aggregation can cause re-occlusion of the culprit vessels after mechanical thrombectomy, even if remedial measures are administered (; ; ). For patients in this category, a loading dose of antiplatelet agents can be used to reduce aggregation before and during surgery. Therefore, it is very important to differentiate ICAS from intracranial embolism before operating.
Intracranial atherosclerotic stenosis can be detected and assessed using high-resolution angiographic-magnetic resonance (MR) imaging (MRI) before treatment (; ; ; ); however, this is expensive and without definite diagnostic criteria. It can also be predicted by microcatheter “first-pass effect” during mechanical thrombectomy (); however, there is no objective evidence to indicate intracranial atherosclerotic disease-related occlusion before surgery.
Magnetic resonance (MR) imaging plays an important role in the diagnosis and treatment of acute ischemic cerebrovascular disease. In the present study, patients with acute middle cerebral artery occlusion (MCAO) underwent diffusion-weighted imaging (DWI) to evaluate whether the location of the infarct core could be used to differentiate ICAS from intracranial embolism.
Materials and Methods
Patients
Thirty-one consecutive patients, who experienced acute stroke and underwent endovascular therapy between May 2017 and August 2018, were identified in the Beijing Tiantan Hospital (Beijing, China) database according to the following criteria: exhibited MCAO; time between symptom onset and admission was 6 h or >6 h for a moderate-to-large hypoperfusion area as depicted on multimodal MRI; underwent vascular recanalization, which was subsequently confirmed; age >18 years; and the prestroke modified Rankin Scale score was 0–1. Patients in whom stroke was the result of dissection, moyamoya disease or vasculitis, those with unexplained MCAO, those who did not undergo MRI before surgery or cerebrovascular examination within 1 week after the operation, and those with carotid T and carotid L collaterals were excluded. Informed consent was obtained from all participants or their relatives, and the protocol was approved by the Institutional Review Board of Beijing Tiantan Hospital.
Demographic information and patient characteristics are summarized in Table 1. The patients (18 men, 13 women) had a mean (±standard error of the mean) age of 61 ± 2 years. Seventeen (54.8%) patients were smokers. The prevalence of hypertension, diabetes, hyperlipidemia, atrial fibrillation and/or rheumatic heart disease, and transient ischemic attack in the 31 patients were 58.1, 32.3, 16.1, 32.3, and 6.45%, respectively.
TABLE 1
| Sex (male, n) | 18(58.1%) |
| Age | 61.13(years) |
| Smoker | 17(54.8%) |
| Hypertension, n(%) | 18(58.1%) |
| Diabetes mellitus, n(%) | 10(32.3%) |
| Hyperlipidemia, n(%) | 5(16.1%) |
| Atrial fibrillation and/or rheumatic heart disease | 10(32.3%) |
| Transient ischemic attack | 2(6.45%) |
Clinical characteristics of all the patients (n = 31).
Operational Definitions of ICAS and Embolic Occlusion
Angiographic findings distinguishing ICAS from embolic occlusion were based on those described in a previous study (). Evidenced by final angiography or during endovascular treatment, ICAS was defined as a significant fixed focal stenosis that could be resolved using angioplasty or stent insertion (; ) at the site of occlusion (Figures 1Ag,h). Significant stenosis was defined as fixed stenosis ≥70% or fixed stenosis ≥50%, besides either angiographically evident of impaired perfusion or evidence of re-occlusion after appropriate treatment using a stent retriever. The cause of MCAO (Figures 1Ae,Be) was classified as embolism based on the following: no focal stenosis after clot retrieval during operation (Figures 1Bg,h), and confirmed on MR angiography (Figures 1Af,Bf) or computed tomography angiography performed within 1 week after the procedure; and an embolus removed using a stent retriever.
FIGURE 1
DWI and Clinical Assessment
Before surgery, MRI included DWI and a three-dimensional-time-of-flight-MR angiography. T1-, T2-weighted imaging, and fluid attenuated inversion recovery were performed in all patients using a 3.0 Tesla scanner (Discovery 750, GE Healthcare, Milwaukee, WI, United States) equipped with a 32-channel head coil. A single-shot echo-planar imaging DWI sequence was performed using the following parameters: repetition time/echo time, 2300/63.60 ms; b, 1000 s/mm2; slice thickness, 5 mm; slice number, 24; field of view, 240 mm; and matrix, 128 × 128. The related apparent diffusion coefficient (ADC) and exponential ADC maps were obtained. A focal hyperintensity on DWI and hypointensity on the ADC was defined as an infarct core. The site of the infarct [located deep in the brain (e.g., basal ganglia or semiovoid region, or mainly in cortex)] was investigated. DWI findings were evaluated by two neuroradiologists blinded to the clinical symptoms and surgical findings.
Neurological function in all patients was assessed on admission using the National Institutes of Health Stroke Scale (NIHSS). Patients were radiologically assessed using the Thrombolysis in Cerebral Infarction (TICI) scale, and successful reperfusion was defined as a TICI grade of 2b or 3 after endovascular treatment ().
Clinical characteristics of the patients, risk factors for arteriosclerosis, heart disease, previous transient ischemic attack, NIHSS score on admission, the hyper-dense artery sign (HAS) on non-enhanced CT, and angiographic information were collected. All images were retrospectively reviewed by two neurologists blinded to patient information and study protocol; discrepancies between the reviewers were resolved by consensus discussion.
Statistical Analysis
Differences in clinical characteristics, risk factors, and imaging features between patients in whom the infarct core was mainly in the deep part of the brain and those in whom the infarct core was mainly in the cortex were examined using bivariate analysis, as between patients with ICAS and those with intracranial embolism. The Student’s t-test was used to compare continuous variables, while the χ2 test was used to compare categorical variables. Diagnostic performance including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of the location of infarct core for the prediction of ICAS, were calculated. All statistical analyses were performed using Prism version 5 (Mac OS X, Apple Inc., Cupertino, CA, United States); P ≤ 0.05 was considered to be statistically significant.
Results
Patients With ICAS vs. Patients With Embolism
Data from 15 patients diagnosed with ICAS and 16 diagnosed with embolism were compared using the χ2 test; the results are summarized in Table 2.
TABLE 2
| ICAS group | Embolism group | P-value | |
| (n = 15) | (n = 16) | ||
| Sex (male, n) | 9 (60%) | 9 (56.2%) | 1.000 |
| Age (mean, years) | 61±2 | 63±3 | 0.575 |
| Smoker | 9 (60%) | 8 (50%) | 0.722 |
| Hypertension, n(%) | 12 (80%) | 6 (37.5%) | 0.029 |
| Diabetes mellitus, n(%) | 5 (33.3%) | 5 (31.3%) | 1.000 |
| Hyperlipidemia, n(%) | 3 (20%) | 2 (12.5%) | 0.654 |
| Atrial fibrillation and/or rheumatic | |||
| heart disease | 1 (6.67) | 9 (56.2%) | 0.006 |
| Transient ischemic attack | 2 (13.3) | 0 | 0.226 |
| Admission NHISS | 12±1 | 15±2 | 0.235 |
| HAS on CT, n (%) | 3 (20%) | 12 (75%) | 0.003 |
| With balloon or stent | 12 (80%) | 1 (6.25%) | <0.001 |
| Hemorrhage | 3 (20%) | 7 (43.8%) | 0.458 |
| Occlusion again, n(%) | 1 (6.67) | 0 (0%) | 0.484 |
Clinical characteristics and endovascular therapy of patients in the ICAS group and embolism group.
Patients with ICAS were more likely to have hypertension (80 vs. 37.5%; P = 0.029), less likely to have atrial fibrillation and/or rheumatoid heart disease (6.67 vs. 56.2%; P = 0.006), and less likely to exhibit HAS on non-enhanced CT (20 vs. 75%, P = 0.003). Twelve of the 15 (80%) patients with ICAS required emergency angioplasty for successful recanalization (Table 2).
Patients Whose Infarct Core Was Mainly in the Deep of the Brain and Those Whose Infarct Core Was Mainly in Cortex
According to DWI and ADC, patients were divided into two categories, as shown in Figures 1A (a–d). For some, the infarct core was mainly in the deep part of the brain (e.g., basal ganglia or semiovoid region) and, as shown in Figures 1B (a–d), there were some whose infarct core was mainly in the cortex, respectively. Clinical characteristics of the two patient groups are summarized in Table 3. Patients in whom the infarct core was mainly in the basal ganglia or semiovoid region group, compared with those whose infarct core mainly in cortex group, were more likely to have hypertension (80 vs. 37.5%; P = 0.029) and less likely to have atrial fibrillation and/or rheumatoid heart disease (6.67 vs. 56.2%; P = 0.006), respectively.
TABLE 3
| Deep of the brain | Cortex | P-value | |
| (n = 16) | (n = 15) | ||
| Sex (male, n) | 10 (62.5%) | 8 (53.3%) | 0.722 |
| Age (mean, years) | 60±3 | 65±2 | 0.142 |
| Smoker | 10 (60%) | 7 (50%) | 0.724 |
| Hypertension, n(%) | 12 (80%) | 6 (37.5%) | 0.029 |
| Diabetes mellitus, n(%) | 6 (37.5%) | 4 (26.7% | 0.704 |
| Hyperlipidemia, n(%) | 4 (25%) | 1 (6.7%) | 0.333 |
| Atrial fibrillation and/or rheumatic | |||
| Heart disease | 1 (6.67) | 9 (56.2%) | 0.006 |
| Transient ischemic attack | 2 (13.3) | 0 | 0.226 |
Clinical characteristics of the two groups patients the infarct core were mainly in deep of the brain and cortex, respectively.
Diagnostic Performance of the DWI
There were 16 patients in whom the infarct core was mainly in the basal ganglia or semiovoid region on DWI (14 of the 16 patients in the ICAS group and only 2 in the non-ICAS group [93.3 vs. 6.7%, respectively; P < 0.001]). The diagnostic sensitivity of DWI for ICAS was 93.3%, with a specificity of 87.5%, a PPV of 87.5%, and an NPV of 93.3%, the accuracy was 88.5%.
Discussion
The purpose of our study was to explore objective evidence for discerning ICAS from intracranial embolism resulting in M1 occlusion before surgery. CT and MRI are mainly used in the diagnosis and treatment of acute cerebral infarction. However, the following advantages of MRI become necessary for examination (). First, DWI combined with ADC is superior to any CT techniques for imaging the infarct core (). Second, mismatch between DWI and FLAIR can be used to guide intravenous recombinant tissue plasminogen activator treatment in “Wake-up” patients with acute ischemic stroke with an unknown time of onset (). Finally, using MRI to assess collaterals and the infarct core can expand the scope of application of endovascular treatment (; ). Thus, MRI was chosen as the main research tool for diagnosis and treatment of acute cerebral infarction.
Our data revealed no significant difference in sex or age between those with ICAS and those with embolization. One possible explanation is that our findings were based on a single-center experience and that the sample size was insufficient, or only focused on occlusion of the M1 segment of the middle cerebral artery. Consistent with a previous study (), we also found that the ICAS patients were more likely to have hypertension (80 vs. 37.5%; P = 0.029), which is a risk factor for arteriosclerosis (), less likely to have atrial fibrillation and/or rheumatoid heart disease (6.67 vs. 56.2%; P = 0.006) and exhibit HAS on non-enhanced CT (20 vs. 75%; P = 0.003), which is related to cardiac-embolic stroke (; ; ; ). Twelve of the 15 (80%) patients with ICAS required emergency angioplasty for successful recanalization (Table 2).
Although DWI had been used to analyze causes of posterior cerebral artery infarction (), there has been no research using DWI to study the characteristics of infarcts caused by MCAO of the M1 segment in ICAS. In assessing DWI results of patients with acute MCAO, we found that the infarction core of the patients with ICAS were primarily located in the deeper parts of the brain (basal ganglia and semiovoid regions), and the infarction core of occlusions caused by intracranial embolism were located more superficially (i.e., cortex). Our study revealed a significant association between the location of the infarct core detected on DWI and causes of middle cerebral artery M1 occlusion. There were 16 patients whose infarct core was mainly in the deep of the brain on DWI. The diagnostic sensitivity of DWI for ICAS was 93.3%, with a specificity of 87.5%, a PPV of 87.5%, and an NPV of 93.3%, the accuracy was 88.5%. Our study demonstrated that the infarct core in patients with ICAS was located primarily in the deeper parts of the brain, which has two possible explanations. First, in ICAS, the collateral circulation in the cortex is abundant. Second, chronic ischemia may increase the ischemic tolerance of cortical neurons. As our investigation was a single-center retrospective study, a multicenter study involving a larger sample size or a randomized controlled trial are needed to further verify our results.
Conclusion
The features of infarction on DWI can predict MCAO caused by ICAS preoperatively, which may reflect the ischemic tolerance of cortical neurons. Increased ICAS can guide therapeutic strategies in patients with acute cerebral infarction. First, patients diagnosed with cerebral embolism can be directly treated with mechanical thrombectomy without intravenous thrombolysis for shortening the recanalization time. Second, for these patients, intravenous thrombolysis for within “time window” or dual antiplatelet loading dose for out of “time window” is a better option. Third, if diagnosed with ICAS, it should be considered preoperatively, and stent or balloon expansion therapy should be administered in time to reduce vascular injury caused by repeated thrombolysis. Finally, the correct diagnosis provides an appropriate basis for secondary prevention of stroke.
Statements
Ethics statement
Our access to patients’ records for data collection and analysis of the data were approved by Beijing Tiantan Hospital, Capital Medical University medical ethics committee.
Author contributions
HZ and XS designed the research. HZ, XS, and ZM performed the research. QH, XmW, YY, MJ, XpW, and JD analyzed the data. ZM wrote the manuscript.
Funding
This study was supported by grants from National Key Research and Development Program of China (Grant Number 2016YFC1301501).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Abbreviations
- ADC
apparent diffusion coefficient
- DWI
diffusion-weighted image
- HAS
hyper-dense artery sign
- ICAS
intracranial atherosclerotic stenosis
- MCAO
middle cerebral artery occlusion
- NIHSS
NIH stroke scale
- NPV
negative predictive value
- PPV
positive predictive value
- TICI
thrombolysis in cerebral infarction.
References
1
AlbersG. W.MarksM. P.KempS.ChristensenS.TsaiJ. P.Ortega-GutierrezS.et al (2018). Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging.N. Engl. J. Med.378708–718. 10.1056/NEJMoa1713973
2
BangO. Y.ChungJ. W.SonJ. P.RyuW. S.KimD. E.SeoW. K.et al (2018). Multimodal MRI-based triage for acute stroke therapy: challenges and progress.Front. Neurol.9:586. 10.3389/fneur.2018.00586
3
BerkhemerO. A.FransenP. S.BeumerD.van den BergL. A.LingsmaH. F.YooA. J.et al (2015). A randomized trial of intraarterial treatment for acute ischemic stroke.N. Engl. J. Med.37211–20. 10.1056/NEJMoa1411587
4
ChoK. H.KimJ. S.KwonS. U.ChoA. H.KangD. W. (2005). Significance of susceptibility vessel sign on T2∗-weighted gradient echo imaging for identification of stroke subtypes.Stroke362379–2383. 10.1161/01.str.0000185932.73486.7a
5
DielemanN.van der KolkA. G.ZwanenburgJ. J.HarteveldA. A.BiesselsG. J.LuijtenP. R.et al (2014). Imaging intracranial vessel wall pathology with magnetic resonance imaging: current prospects and future directions.Circulation130192–201. 10.1161/circulationaha.113.006919
6
GaoF.LoW. T.SunX.MoD. P.MaN.MiaoZ. R. (2015). Combined use of mechanical thrombectomy with angioplasty and stenting for acute basilar occlusions with underlying severe intracranial vertebrobasilar stenosis: preliminary experience from a single chinese center.AJNR Am. J. Neuroradiol.361947–1952. 10.3174/ajnr.A4364
7
GoyalM.DemchukA. M.MenonB. K.EesaM.RempelJ. L.ThorntonJ.et al (2015). Randomized assessment of rapid endovascular treatment of ischemic stroke.N. Engl. J. Med.3721019–1030.
8
HeoJ. H.LeeK. Y.KimS. H.KimD. I. (2003). Immediate reocclusion following a successful thrombolysis in acute stroke: a pilot study.Neurology601684–1687. 10.1212/01.wnl.0000063323.23493.98
9
JovinT. G.ChamorroA.CoboE.de MiquelM. A.MolinaC. A.RoviraA.et al (2015). Thrombectomy within 8 hours after symptom onset in ischemic stroke.N. Engl. J. Med.3722296–2306. 10.1056/NEJMoa1503780
10
KidwellC. S.JahanR.GornbeinJ.AlgerJ. R.NenovV.AjaniZ.et al (2013). A trial of imaging selection and endovascular treatment for ischemic stroke.N. Engl. J. Med.368914–923. 10.1056/NEJMoa1212793
11
KimE. Y.YooE.ChoiH. Y.LeeJ. W.HeoJ. H. (2008). Thrombus volume comparison between patients with and without hyperattenuated artery sign on CT.AJNR Am. J. Neuroradiol.29359–362. 10.3174/ajnr.a0800
12
KimS. K.YoonW.HeoT. W.ParkM. S.KangH. K. (2015). Negative susceptibility vessel sign and underlying intracranial atherosclerotic stenosis in acute middle cerebral artery occlusion.AJNR Am. J. Neuroradiol.361266–1271. 10.3174/ajnr.A4280
13
KirchhofK.WelzelT.MeckeC.ZoubaaS.SartorK. (2003). Differentiation of white, mixed, and red thrombi: value of CT in estimation of the prognosis of thrombolysis phantom study.Radiology228126–130. 10.1148/radiol.2273020530
14
KohrmannM.SchellingerP. D. (2009). Acute stroke triage to intravenous thrombolysis and other therapies with advanced CT or MR imaging: pro MR imaging.Radiology251627–633. 10.1148/radiol.2513081074
15
LeeE.KangD. W.KwonS. U.KimJ. S. (2009). Posterior cerebral artery infarction: diffusion-weighted MRI analysis of 205 patients.Cerebrovasc. Dis.28298–305. 10.1159/000229016
16
LeeJ. S.HongJ. M.LeeK. S.SuhH. I.DemchukA. M.HwangY. H.et al (2015). Endovascular therapy of cerebral arterial occlusions: intracranial atherosclerosis versus embolism.J. Stroke Cerebrovasc. Dis.242074–2080. 10.1016/j.jstrokecerebrovasdis.2015.05.003
17
MoftakharP.EnglishJ. D.CookeD. L.KimW. T.StoutC.SmithW. S.et al (2013). Density of thrombus on admission CT predicts revascularization efficacy in large vessel occlusion acute ischemic stroke.Stroke44243–245. 10.1161/STROKEAHA.112.674127
18
NatoriT.SasakiM.MiyoshiM.OhbaH.KatsuraN.YamaguchiM.et al (2014). Evaluating middle cerebral artery atherosclerotic lesions in acute ischemic stroke using magnetic resonance T1-weighted 3-dimensional vessel wall imaging.J. Stroke Cerebrovasc. Dis.23706–711. 10.1016/j.jstrokecerebrovasdis.2013.06.025
19
NogueiraR. G.JadhavA. P.HaussenD. C.BonafeA.BudzikR. F.BhuvaP.et al (2018). Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct.N. Engl. J. Med.37811–21. 10.1056/NEJMoa1706442
20
PowersW. J.DerdeynC. P.BillerJ.CoffeyC. S.HohB. L.JauchE. C.et al (2015). 2015 american heart association/american stroke association focused update of the 2013 guidelines for the early management of patients with acute ischemic stroke regarding endovascular treatment: a guideline for healthcare professionals from the american heart association/american stroke association.Stroke463020–3035. 10.1161/str.0000000000000074
21
SaverJ. L.GoyalM.BonafeA.DienerH. C.LevyE. I.PereiraV. M.et al (2015). Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke.N. Engl. J. Med.3722285–2295. 10.1056/NEJMoa1415061
22
ThomallaG.SimonsenC. Z.BoutitieF.AndersenG.BerthezeneY.ChengB.et al (2018). MRI-Guided thrombolysis for stroke with unknown time of onset.N. Engl. J. Med.379611–622. 10.1056/NEJMoa1804355
23
van der KolkA. G.ZwanenburgJ. J.DenswilN. P.VinkA.SplietW. G.DaemenM. J.et al (2015). Imaging the intracranial atherosclerotic vessel wall using 7T MRI: initial comparison with histopathology.AJNR Am. J. Neuroradiol.36694–701. 10.3174/ajnr.A4178
24
YiT. Y.ChenW. H.WuY. M.ZhangM. F.ZhanA. L.ChenY. H.et al (2018). Microcatheter "first-pass effect" predicts acute intracranial artery atherosclerotic disease-related occlusion.Neurosurgery841296–1305. 10.1093/neuros/nyy183
25
YoonW.KimS. K.ParkM. S.KimB. C.KangH. K. (2015). Endovascular treatment and the outcomes of atherosclerotic intracranial stenosis in patients with hyperacute stroke.Neurosurgery76680–686. 10.1227/NEU.0000000000000694
26
ZaidatO. O.YooA. J.KhatriP.TomsickT. A.von KummerR.SaverJ. L.et al (2013). Recommendations on angiographic revascularization grading standards for acute ischemic stroke: a consensus statement.Stroke442650–2663. 10.1161/strokeaha.113.001972
Summary
Keywords
intracranial atherosclerotic stenosis, diffusion-weighted imaging, middle cerebral artery occlusion, intracranial embolism, acute ischemic stroke
Citation
Zhang H, Sun X, Huang Q, Wang X, Yue Y, Ju M, Wang X, Ding J and Miao Z (2019) Intracranial Atherosclerotic Disease-Related Acute Middle Cerebral Artery Occlusion Can Be Predicted by Diffusion-Weighted Imaging. Front. Neurosci. 13:903. doi: 10.3389/fnins.2019.00903
Received
03 December 2018
Accepted
13 August 2019
Published
29 August 2019
Volume
13 - 2019
Edited by
Lin Shi, The Chinese University of Hong Kong, China
Reviewed by
Dong-Hoon Lee, The University of Sydney, Australia; Sidong Liu, Macquarie University, Australia
Updates
Copyright
© 2019 Zhang, Sun, Huang, Wang, Yue, Ju, Wang, Ding and Miao.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zhongrong Miao, miaozhongrong123@126.com
†These authors have contributed equally to this work
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
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