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• Stroke MRI •
Degree centrality in the human functional connectome of basal ganlia stroke patients
WANG Hui  CHEN Nan  LI Kun-cheng  DUAN Xiang-gong 

DOI:10.12015/issn.1674-8034.2016.10.002.


[Abstract] Objective: Using degree centrality (DC), a gragh theory analysis method to construct and analyze the human functional connectome of basal ganglia stroke patients.Materials and Methods: The resting-state fMRI data of 10 left basal ganglia stroke patients under subacute stage, chronic phase and 10 normal controls were taken, for each scan of every subject, construct the human functional connectome and calculate the DC value, the distribution maps of high DC value nodes were extracted for each group, the intergroup differences were analyzed.Results: The high DC map of the normal control distributed symmetrically, in precuneus/posterior cingulate of the posterior cerebral midline, bilateral basal ganglia and thalamus, the patients' maps distributed in disorder. Compared with normal controls, under subacute stage, DC increased in ipsilateral contralateral default-mode network (DMN), decreased in anterior posterior DMN, under chronic phase, DC increased in vermis, contralateral precuneus/posterior cingulate. Compared between two period of patients, increased DC were found in ipsilateral precentral gyrus, superior temporal gyrus and supramarginal under subacute stage, in vermis, contralateral cerebellum hemisphere and ipsilateral precuneus under chronic phase.Conclusion: At the voxel level, DC can provide valuable information of the abnormal brain functional connectome in basal ganglia stroke patients.
[Keywords] Degree centrality；Stroke；Human connectome；Magnetic resonance imaging, functional

WANG Hui Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China

CHEN Nan Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China

LI Kun-cheng* Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China

DUAN Xiang-gong Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China

*Correspondence to: Li KC, E-mail: likuncheng1955@yahoo.com.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Key Technology R&D Program of China during the Twelfth Five-Year Plan Period No. 2012BAI10B04 National Natural Science Foundation of China No. 81271556 Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support No. ZYLX201609
Received  2016-07-28
Accepted  2016-09-25
DOI: 10.12015/issn.1674-8034.2016.10.002
DOI:10.12015/issn.1674-8034.2016.10.002.

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