Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery

Connectivity-based methods are essential to explore brain reorganization after a stroke and to provide meaningful predictors for late motor recovery. We aim to investigate the homotopic connectivity alterations during a 180-day follow-up of patients with pontine infarction to find an early biomarker...

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Main Authors: Yi Shan, Yin-Shan Wang, Miao Zhang, Dong-Dong Rong, Zhi-Lian Zhao, Yan-Xiang Cao, Pei-Pei Wang, Zheng-Zheng Deng, Qing-Feng Ma, Kun-Cheng Li, Xi-Nian Zuo, Jie Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Neurology
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Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00907/full
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author Yi Shan
Yi Shan
Yin-Shan Wang
Yin-Shan Wang
Miao Zhang
Miao Zhang
Dong-Dong Rong
Dong-Dong Rong
Zhi-Lian Zhao
Zhi-Lian Zhao
Yan-Xiang Cao
Yan-Xiang Cao
Pei-Pei Wang
Pei-Pei Wang
Zheng-Zheng Deng
Zheng-Zheng Deng
Qing-Feng Ma
Kun-Cheng Li
Kun-Cheng Li
Xi-Nian Zuo
Jie Lu
Jie Lu
Jie Lu
author_facet Yi Shan
Yi Shan
Yin-Shan Wang
Yin-Shan Wang
Miao Zhang
Miao Zhang
Dong-Dong Rong
Dong-Dong Rong
Zhi-Lian Zhao
Zhi-Lian Zhao
Yan-Xiang Cao
Yan-Xiang Cao
Pei-Pei Wang
Pei-Pei Wang
Zheng-Zheng Deng
Zheng-Zheng Deng
Qing-Feng Ma
Kun-Cheng Li
Kun-Cheng Li
Xi-Nian Zuo
Jie Lu
Jie Lu
Jie Lu
author_sort Yi Shan
collection DOAJ
description Connectivity-based methods are essential to explore brain reorganization after a stroke and to provide meaningful predictors for late motor recovery. We aim to investigate the homotopic connectivity alterations during a 180-day follow-up of patients with pontine infarction to find an early biomarker for late motor recovery prediction. In our study, resting-state functional MRI was performed in 15 patients (11 males, 4 females, age: 57.87 ± 6.50) with unilateral pontine infarction and impaired motor function during a period of 6 months (7, 14, 30, 90, and 180 days after stroke onset). Clinical neurological assessments were performed using the Fugl–Meyer scale (FM).15 matched healthy volunteers were also recruited. Whole-brain functional homotopy in each individual scan was measured by voxel-mirrored homotopic connectivity (VMHC) values. Group-level analysis was performed between stroke patients and normal controls. A Pearson correlation was performed to evaluate correlations between early VMHC and the subsequent 4 visits for behavioral measures during day 14 to day 180. We found in early stroke (within 7 days after onset), decreased VMHC was detected in the bilateral precentral and postcentral gyrus and precuneus/posterior cingulate cortex (PCC), while increased VMHC was found in the hippocampus/amygdala and frontal pole (P < 0.01). During follow-up, VMHC in the precentral and postcentral gyrus increased to the normal level from day 90, while VMHC in the precuneus/PCC presented decreased intensity during all time points (P < 0.05). The hippocampus/amygdala and frontal pole presented a higher level of VMHC during all time points (P < 0.05). Negative correlation was found between early VMHC in the hippocampus/amygdala with FM on day 14 (r = −0.59, p = 0.021), day 30 (r = −0.643, p = 0.01), day 90 (r = −0.693, p = 0.004), and day 180 (r = −0.668, p = 0.007). Furthermore, early VMHC in the frontal pole was negatively correlated with FM scores on day 30 (r = −0.662, p = 0.013), day 90 (r = −0.606, p = 0.017), and day 180 (r = −0.552, p = 0.033). Our study demonstrated the potential utility of early homotopic connectivity for prediction of late motor recovery in pontine infarction.
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spelling doaj.art-e597f54e2c8f42e2aacde0c82b8ac4372022-12-21T19:55:28ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-10-01910.3389/fneur.2018.00907413655Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor RecoveryYi Shan0Yi Shan1Yin-Shan Wang2Yin-Shan Wang3Miao Zhang4Miao Zhang5Dong-Dong Rong6Dong-Dong Rong7Zhi-Lian Zhao8Zhi-Lian Zhao9Yan-Xiang Cao10Yan-Xiang Cao11Pei-Pei Wang12Pei-Pei Wang13Zheng-Zheng Deng14Zheng-Zheng Deng15Qing-Feng Ma16Kun-Cheng Li17Kun-Cheng Li18Xi-Nian Zuo19Jie Lu20Jie Lu21Jie Lu22Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaKey Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, ChinaDepartment of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, ChinaConnectivity-based methods are essential to explore brain reorganization after a stroke and to provide meaningful predictors for late motor recovery. We aim to investigate the homotopic connectivity alterations during a 180-day follow-up of patients with pontine infarction to find an early biomarker for late motor recovery prediction. In our study, resting-state functional MRI was performed in 15 patients (11 males, 4 females, age: 57.87 ± 6.50) with unilateral pontine infarction and impaired motor function during a period of 6 months (7, 14, 30, 90, and 180 days after stroke onset). Clinical neurological assessments were performed using the Fugl–Meyer scale (FM).15 matched healthy volunteers were also recruited. Whole-brain functional homotopy in each individual scan was measured by voxel-mirrored homotopic connectivity (VMHC) values. Group-level analysis was performed between stroke patients and normal controls. A Pearson correlation was performed to evaluate correlations between early VMHC and the subsequent 4 visits for behavioral measures during day 14 to day 180. We found in early stroke (within 7 days after onset), decreased VMHC was detected in the bilateral precentral and postcentral gyrus and precuneus/posterior cingulate cortex (PCC), while increased VMHC was found in the hippocampus/amygdala and frontal pole (P < 0.01). During follow-up, VMHC in the precentral and postcentral gyrus increased to the normal level from day 90, while VMHC in the precuneus/PCC presented decreased intensity during all time points (P < 0.05). The hippocampus/amygdala and frontal pole presented a higher level of VMHC during all time points (P < 0.05). Negative correlation was found between early VMHC in the hippocampus/amygdala with FM on day 14 (r = −0.59, p = 0.021), day 30 (r = −0.643, p = 0.01), day 90 (r = −0.693, p = 0.004), and day 180 (r = −0.668, p = 0.007). Furthermore, early VMHC in the frontal pole was negatively correlated with FM scores on day 30 (r = −0.662, p = 0.013), day 90 (r = −0.606, p = 0.017), and day 180 (r = −0.552, p = 0.033). Our study demonstrated the potential utility of early homotopic connectivity for prediction of late motor recovery in pontine infarction.https://www.frontiersin.org/article/10.3389/fneur.2018.00907/fullpontine infarctionhomotopic connectivityfunctional magnetic resonance imagingmotor recoveryearly prediction
spellingShingle Yi Shan
Yi Shan
Yin-Shan Wang
Yin-Shan Wang
Miao Zhang
Miao Zhang
Dong-Dong Rong
Dong-Dong Rong
Zhi-Lian Zhao
Zhi-Lian Zhao
Yan-Xiang Cao
Yan-Xiang Cao
Pei-Pei Wang
Pei-Pei Wang
Zheng-Zheng Deng
Zheng-Zheng Deng
Qing-Feng Ma
Kun-Cheng Li
Kun-Cheng Li
Xi-Nian Zuo
Jie Lu
Jie Lu
Jie Lu
Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
Frontiers in Neurology
pontine infarction
homotopic connectivity
functional magnetic resonance imaging
motor recovery
early prediction
title Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
title_full Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
title_fullStr Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
title_full_unstemmed Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
title_short Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
title_sort homotopic connectivity in early pontine infarction predicts late motor recovery
topic pontine infarction
homotopic connectivity
functional magnetic resonance imaging
motor recovery
early prediction
url https://www.frontiersin.org/article/10.3389/fneur.2018.00907/full
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