Share：
Share this content in WeChat
X
[Chinese][PDF]770103
• Review •
Progress of resting-state functional magnetic resonance imaging in bipolar disorder
SUN Yao  WANG Ying  HUANG Li 

DOI:10.12015/issn.1674-8034.2016.01.015.


[Abstract] Magnetic resonance imaging (MRI) is widely applied in assessing the changes of functional and structuralbrain, and it is being used as an important tool for clinical diagnosis and evaluation of bipolar disorder (BD). In this paper, the recent progress in studies of resting-state fMRI of BD is reviewed.
[Keywords] Bipolar disorder；Magnetic resonance imaging；Brain；Brain network

SUN Yao Center of Medical Imaging, the Fist Affiliated Hospital of Jinan University, Guangzhou, 510630, China

WANG Ying Center of Medical Imaging, the Fist Affiliated Hospital of Jinan University, Guangzhou, 510630, China

HUANG Li* Center of Medical Imaging, the Fist Affiliated Hospital of Jinan University, Guangzhou, 510630, China

*Correspondence to: Huang L, E-mail: cjr.huangli@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of the General Program of National Natural Science Foundation of China NO. 81501456,81471650 Science and Technology Planning Project of Guangdong Province No. 2014B020212022 Natural Science Foundation of Guangdong Province No. 2014A030313375 Research Funds for the Central Universities of China No. 21615476
Received  2015-10-29
Accepted  2015-12-02
DOI: 10.12015/issn.1674-8034.2016.01.015
DOI:10.12015/issn.1674-8034.2016.01.015.

[1]
王秀丽, 黄晓琦, 龚启勇. 神经精神疾病的功能磁共振成像研究进展. 磁共振成像, 2012, 3(1):61-68.
[2]
Chai XJ, Whitfield-Gabrieli S, Shinn AK, et al. Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia. Neuropsychopharmacology, 2011, 36(10): 2009-2017.
[3]
Anand A, Li Y, Wang Y, et al. Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression. Psychiatry research, 2009, 171(3): 189-198.
[4]
Yao Z, Wang L, Lu Q, et al. Regional homogeneity in depression and its relationship with separate depressive symptom clusters: a resting-state fMRI study. J Affect Disord, 2009, 115(3): 430-438.
[5]
Liu CH, Ma X, Li F, et al. Regional homogeneity within the default mode network in bipolar depression: a resting-state functional magnetic resonance imaging study. PloS one, 2012, 7(11): e48181.
[6]
Liang MJ, Zhou Q, Yang KR, et al. Identify changes of brain regional homogeneity in bipolar disorder and unipolar depression using resting-state FMRI. PloS one, 2013, 8(12): e79999.
[7]
Gao W, Jiao Q, Lu S, et al. Alterations of regional homogeneity in pediatric bipolar depression: a resting-state fMRI study. BMC Psychiatry, 2014,14: 222.
[8]
Xiao Q, Zhong Y, Lu D, et al. Altered regional homogeneity in pediatric bipolar disorder during manic state: a resting-state fMRI study. PloS one, 2013, 8(3): e57978.
[9]
Lu D, Jiao Q, Zhong Y, et al. Altered baseline brain activity in children with bipolar disorder during mania state: a resting-state study. Neuropsychiatr Dis Treat, 2014, 10: 317-323.
[10]
Xu K, Liu H, Li H, et al. Amplitude of low-frequency fluctuations in bipolar disorder: a resting state fMRI study. J Affect Disord. 2014, 152-154: 237-242.
[11]
Liu CH, Ma X, Wu X, et al. Resting-state abnormal baseline brain activity in unipolar and bipolar depression. Neurosci lett, 2012, 516(2): 202-206.
[12]
Liu CH, Li F, Li SF, et al. Abnormal baseline brain activity in bipolar depression: a resting state functional magnetic resonance imaging study. Psychiatr Res, 2012, 203(2-3): 175-179.
[13]
Anand A, Li Y, Wang Y, et al. Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study. Biol Psychiatry, 2005, 57(10): 1079-1088.
[14]
Favre P, Baciu M, Pichat C, et al. fMRI evidence for abnormal resting-state functional connectivity in euthymic bipolar patients. J Affect Disord. 2014, 165: 182-189.
[15]
崔立谦, 曹莉萍, 邓文皓, et al. 早期阶段双相Ⅰ型躁狂患者杏仁核静息态功能连接初步研究．中国神经精神疾病杂志, 2014, 40(10): 601-606.
[16]
Zhou Z, Wang X, Klahr NJ, et al. A conditional Granger causality model approach for group analysis in functional magnetic resonance imaging. Magn Reson Imaging, 2011, 29(3): 418-33.
[17]
Wang Y, Zhong S, Jia Y, et al. Reduced interhemispheric resting-state functional connectivity in unmedicated bipolar II disorder. Acta Psychiatr Scand, 2015, 132(5): 400-407.
[18]
Schuyler B, Ollinger JM, Oakes TR, et al. Dynamic Causal Modeling applied to fMRI data shows high reliability. NeuroImage, 2010, 49(1): 603-611.
[19]
Perlman SB, Almeida JR, Kronhaus DM, et al. Amygdala activity and prefrontal cortex-amygdala effective connectivity to emerging emotional faces distinguish remitted and depressed mood states in bipolar disorder. Bipolar Disord, 2012, 14(2): 162-174.
[20]
Greicius MD, Flores BH, Menon V, et al. Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol Psychiatry, 2007, 62(5): 429-437.
[21]
Ongur D, Lundy M, Greenhouse I, et al. Default mode network abnormalities in bipolar disorder and schizophrenia. Psychiatry Res, 2010, 183(1): 59-68.
[22]
Khadka S, Meda SA, Stevens MC, et al. Is aberrant functional connectivity a psychosis endophenotype? A resting state functional magnetic resonance imaging study. Biol Psychiatry, 2013, 74(6): 458-466.
[23]
Meda SA, Gill A, Stevens MC, et al. Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives. Biol Psychiatry, 2012, 71(10): 881-889.
[24]
Passarotti AM, Sweeney JA, Pavuluri MN. Neural correlates of response inhibition in pediatric bipolar disorder and attention deficit hyperactivity disorder. Psychiatry Res, 2010, 181(1): 36-43.
[25]
De Luca M, Beckmann CF, De Stefano N, et al. fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage, 2006, 29(4): 1359-1367.
[26]
Gaiteri C, Sibille E. Differentially expressed genes in major depression reside on the periphery of resilient gene coexpression networks. Front Neurosci, 2011, 5: 95.
[27]
Leow A, Ajilore O, Zhan L, et al. Impaired inter-hemispheric integration in bipolar disorder revealed with brain network analyses. Biol Psychiatry, 2013, 73(2): 183-193.

PREV The application of non-Gaussion DWI model in body diseases
NEXT Measurement of diffusion tensor imaging in patients with mild cognitive impairment: a meta analysis
  


LINK


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