Share：
Share this content in WeChat
X
[Chinese][PDF]166986
• fMRI Papers •
A fractional amplitude of low frequency fluctuation study of resting-state fMRI in stroke
WANG Xiang-min  ZHAO Zhi-yong  YIN Da-zhi  SUN Li-min  ZHENG Xiao-hui  JIA Jie  FAN Ming-xia 

DOI:10.12015/issn.1674-8034.2016.06.001.


[Abstract] Objective: To investigate the abnormal changes in baseline brain activity of the chronic stroke patients by using fractional amplitude of low frequency fluctuation (fALFF) of resting-state fMRI.Materials and Methods: Sixteen chronic stroke patients with left subcortical lesions and sixteen age and sex- matched healthy volunteers were performed resting-state fMRI scans. Values of fALFF were calculated in the frequency ranging from 0.01-0.08 Hz. Two-sample t-test was performed to compare the differences in fALFF between the two groups (P<0.05, corrected by AlphaSim).Results: Compared with the healthy controls, the areas where the fALFF values decreased in stroke patients mainly located in the ipsilesional thalamus and basal ganglia, of which, the fALFF values of the ipsilesional thalamus showed significantly positive correlation with the Fugl-Meyer Assessment (FMA) scores in stroke patients (r=0.54, P=0.03<0.05).Conclusion: The abnormal spontaneous neural activity of the stroke is closely related to lesions site and hand motor dysfunction. These findings help us to further understand the pathophysiological mechanisms of the motor dysfunction in stroke.
[Keywords] Stroke；Magnetic resonance imaging, functional；Frequency amplitude

WANG Xiang-min Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China

ZHAO Zhi-yong Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China

YIN Da-zhi Laboratory of Primate Neurobiology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China

SUN Li-min Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai 200040, China

ZHENG Xiao-hui Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China

JIA Jie Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai 200040, China

FAN Ming-xia* Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China

*Correspondence to: Fan MX, E-mail: mxfan@phy.ecnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No. 81471651 National Natural Science Foundation of China No. 81401859 the 12th Five-Year Plan supporting project of Ministry of Science and Technology of the People's Republic of China No. 2013BAI10B03
Received  2016-03-21
Accepted  2016-04-18
DOI: 10.12015/issn.1674-8034.2016.06.001
DOI:10.12015/issn.1674-8034.2016.06.001.

[1]
Cramer SC. Repairing the human brain after stroke: I. Mechanisms of spontaneous recovery. Annals of neurology, 2008, 63(3): 272-287.
[2]
Wurina, Zang YF, Zhao SG. Resting-state fMRI studies in epilepsy. Neuroscience bulletin, 2012, 28(4): 449-455.
[3]
Zang YF, He Y, Zhu CZ, et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain & development, 2007, 29(2): 83-91.
[4]
Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature reviews Neuroscience, 2007, 8(9): 700-711.
[5]
Zou QH, Zhu CZ, Yang Y, et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. Journal of neuroscience methods, 2008, 172(1): 137-141.
[6]
Lai CH, Wu YT. Patterns of fractional amplitude of low-frequency oscillations in occipito-striato-thalamic regions of first-episode drug-naive panic disorder. Journal of affective disorders, 2012, 142(1-3): 180-185.
[7]
刘代洪，段珊珊，张久权, 等. 2型糖尿病伴轻度认知功能障碍患者脑静息态功能MRI研究. 磁共振成像, 2015, 6(3): 161-167.
[8]
刘光耀，杨晓萍，张喆, 等. 原发性全面强直阵挛癫痫全脑比率低频振幅的静息态fMRI研究. 中国临床医学影像杂志, 2013, 24(9): 609-612.
[9]
Yin D, Song F, Xu D, et al. Patterns in cortical connectivity for determining outcomes in hand function after subcortical stroke. PloS one, 2012, 7(12): 52727.
[10]
邓小湘，蒋雯，王君, 等. 利用静息态功能磁共振成像研究缺血性脑卒中患者康复治疗后运动功能网络连接的变化. 磁共振成像, 2010, 1(1): 11-14.
[11]
Haber SN, Calzavara R. The cortico-basal ganglia integrative network: the role of the thalamus. Brain research bulletin, 2009, 78(2-3): 69-74.
[12]
Matelli M, Luppino G. Thalamic input to mesial and superior area 6 in the macaque monkey. The Journal of comparative neurology, 1996, 372(1): 59-87.
[13]
Matelli M, Luppino G, Fogassi L, et al. Thalamic input to inferior area 6 and area 4 in the macaque monkey. The Journal of comparative neurology, 1989, 280(3): 468-488.
[14]
Wiesendanger R, Wiesendanger M. The thalamic connections with medial area 6 (supplementary motor cortex) in the monkey (macaca fascicularis). Experimental brain research, 1985, 59(1): 91-104.
[15]
Yin D, Yan X, Fan M, et al. Secondary degeneration detected by combining voxel-based morphometry and tract-based spatial statistics in subcortical strokes with different outcomes in hand function. AJNR American journal of neuroradiology, 2013, 34(7): 1341-1347.
[16]
Enzinger C, Dawes H, Johansen-berg H, et al. Brain activity changes associated with treadmill training after stroke. Stroke, 2009, 40(7): 2460-2467.
[17]
Young BM, Nigogosyan Z, Remsik A, et al. Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device. Frontiers in neuroengineering, 2014, 7: 25.
[18]
Lehericy S, Ducros M, Van DE Moortele PF, et al. Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans. Annals of neurology, 2004, 55(4): 522-529.
[19]
Postuma RB, Dagher A. Basal ganglia functional connectivity based on a meta-analysis of 126 positron emission tomography and functional magnetic resonance imaging publications. Cerebral cortex, 2006, 16(10): 1508-1521.
[20]
Begliomini C, Desunctis T, Marungon M, et al. An investigation of the neural circuits underlying reaching and reach-to-grasp movements: from planning to execution. Frontiers in human neuroscience, 2014, 8(3): 1-14..
[21]
Crutcher MD, Delong MR. Single cell studies of the primate putamen. II. Relations to direction of movement and pattern of muscular activity. Experimental brain research, 1984, 53(2): 244-258.
[22]
Marchand WR, Lee JN, Thatcher JW, et al. Putamen coactivation during motor task execution. Neuroreport, 2008, 19(9): 957-960.
[23]
Damoiseunx JS, Greicius MD. Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain structure & function, 2009, 213(6): 525-533.
[24]
Honey CJ, Sporns O, Cammoun L, et al. Predicting human resting-state functional connectivity from structural connectivity. Proceedings of the National Academy of Sciences of the United States of America, 2009, 106(6): 2035-2040.
[25]
Yin D, Luo Y, Song F, et al. Functional reorganization associated with outcome in hand function after stroke revealed by regional homogeneity. Neuroradiology, 2013, 55(6): 761-770.

PREV Cognitive impairment in type 2 diabetes mellitus and its neuroimaging
NEXT First-episode depression resting state of brain function low frequency amplitude research
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn