The Impact of MIR137 on Dorsolateral Prefrontal-Hippocampal Functional Connectivity in Healthy Subjects

被引:47
作者
Liu, Bing [1 ,2 ]
Zhang, Xiaolong [1 ]
Hou, Bing [1 ,2 ]
Li, Jin [1 ,2 ]
Qiu, Chengxiang [1 ]
Qin, Wen [3 ]
Yu, Chunshui [3 ]
Jiang, Tianzi [1 ,2 ,4 ,5 ]
机构
[1] Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
[3] Tianjin Med Univ, Gen Hosp, Dept Radiol, Tianjin 300052, Peoples R China
[4] Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
[5] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu 610054, Peoples R China
关键词
WORKING-MEMORY PERFORMANCE; ANTI-CORRELATED NETWORKS; RESTING-STATE; HUMAN BRAIN; ANATOMICAL CONNECTIVITY; PSYCHOSIS VARIANT; GENETIC RISK; SCHIZOPHRENIA; MICRORNA; MIR-137;
D O I
10.1038/npp.2014.63
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A recent mega-analysis combining genome-wide association study data revealed that a variant of microRNA 137 (MIR137) exhibits the most significant association with schizophrenia. Other biological evidence also consistently suggests that MIR137 may have a pivotal role in the pathogenesis of schizophrenia. However, the underlying neural mechanism remains unclear. As the disrupted dorsolateral prefrontal cortex (DLPFC) coupling with the hippocampal formation (HF) has been widely observed in schizophrenia patients, DLPFC-HF dysconnectivity can therefore be thought of as a pivotal intermediate phenotype that links genetic variants of psychiatric risk genes to schizophrenia. This study used resting-state functional magnetic resonance imaging to test whether the MIR137 variant (rs1625579) impacts DLPFC-HF functional connectivity and cognitive performance in 290 young, healthy Han Chinese individuals. To identify functional connectivity between DLPFC and HF, a seed-based functional connectivity analysis was used. The association between DLPFC-HF connectivity and working memory performance was further examined in individuals with different MIR137 genotypes. The individuals who are homozygous for the MIR137 risk allele (TT), which confers a high risk for schizophrenia, exhibited significantly different DLPFC-HF functional connectivity compared with TG individuals. Moreover, the DLPFC-HF connectivity could predict the working memory performance in MIR137 TG individuals, but not in TT individuals. The current findings obtained in a large sample of healthy participants identified potential neural mechanisms linking MIR137 with the risk of developing schizophrenia via the intermediate phenotype of DLPFC-HF connectivity.
引用
收藏
页码:2153 / 2160
页数:8
相关论文
共 50 条
[1]   Network Anticorrelations, Global Regression, and Phase-Shifted Soft Tissue Correction [J].
Anderson, Jeffrey S. ;
Druzgal, T. Jason ;
Lopez-Larson, Melissa ;
Jeong, Eun-Kee ;
Desai, Krishnaji ;
Yurgelun-Todd, Deborah .
HUMAN BRAIN MAPPING, 2011, 32 (06) :919-934
[2]  
[Anonymous], SCHIZOPHR B
[3]   Interactions between medial temporal lobe, prefrontal cortex, and inferior temporal regions during visual working memory: A combined intracranial EEG and functional magnetic resonance imaging study [J].
Axmacher, Nikolai ;
Schmitz, Daniel P. ;
Wagner, Tobias ;
Elger, Christian E. ;
Fell, Juergen .
JOURNAL OF NEUROSCIENCE, 2008, 28 (29) :7304-7312
[4]   Prefrontal dysfunction in first-degree relatives of schizophrenia patients during a Stroop task [J].
Becker, Theresa M. ;
Kerns, John G. ;
MacDonald, Angus W., III ;
Carter, Cameron S. .
NEUROPSYCHOPHARMACOLOGY, 2008, 33 (11) :2619-2625
[5]   Toward discovery science of human brain function [J].
Biswal, Bharat B. ;
Mennes, Maarten ;
Zuo, Xi-Nian ;
Gohel, Suril ;
Kelly, Clare ;
Smith, Steve M. ;
Beckmann, Christian F. ;
Adelstein, Jonathan S. ;
Buckner, Randy L. ;
Colcombe, Stan ;
Dogonowski, Anne-Marie ;
Ernst, Monique ;
Fair, Damien ;
Hampson, Michelle ;
Hoptman, Matthew J. ;
Hyde, James S. ;
Kiviniemi, Vesa J. ;
Kotter, Rolf ;
Li, Shi-Jiang ;
Lin, Ching-Po ;
Lowe, Mark J. ;
Mackay, Clare ;
Madden, David J. ;
Madsen, Kristoffer H. ;
Margulies, Daniel S. ;
Mayberg, Helen S. ;
McMahon, Katie ;
Monk, Christopher S. ;
Mostofsky, Stewart H. ;
Nagel, Bonnie J. ;
Pekar, James J. ;
Peltier, Scott J. ;
Petersen, Steven E. ;
Riedl, Valentin ;
Rombouts, Serge A. R. B. ;
Rypma, Bart ;
Schlaggar, Bradley L. ;
Schmidt, Sein ;
Seidler, Rachael D. ;
Siegle, Greg J. ;
Sorg, Christian ;
Teng, Gao-Jun ;
Veijola, Juha ;
Villringer, Arno ;
Walter, Martin ;
Wang, Lihong ;
Weng, Xu-Chu ;
Whitfield-Gabrieli, Susan ;
Williamson, Peter ;
Windischberger, Christian .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (10) :4734-4739
[6]   Opportunities and limitations of intrinsic functional connectivity MRI [J].
Buckner, Randy L. ;
Krienen, Fenna M. ;
Yeo, B. T. Thomas .
NATURE NEUROSCIENCE, 2013, 16 (07) :832-837
[7]   Complexity of prefrontal cortical dysfunction in schizophrenia: More than up or down [J].
Callicott, JH ;
Mattay, VS ;
Verchinski, BA ;
Marenco, S ;
Egan, MF ;
Weinberger, DR .
AMERICAN JOURNAL OF PSYCHIATRY, 2003, 160 (12) :2209-2215
[8]   Quantification of the impact of a confounding variable on functional connectivity confirms anti-correlated networks in the resting-state [J].
Carbonell, F. ;
Bellec, P. ;
Shmuel, A. .
NEUROIMAGE, 2014, 86 :343-353
[9]   Global and System-Specific Resting-State fMRI Fluctuations Are Uncorrelated: Principal Component Analysis Reveals Anti-Correlated Networks [J].
Carbonell, Felix ;
Bellec, Pierre ;
Shmuel, Amir .
BRAIN CONNECTIVITY, 2011, 1 (06) :496-510
[10]   Effects of model-based physiological noise correction on default mode network anti-correlations and correlations [J].
Chang, Catie ;
Glover, Gary H. .
NEUROIMAGE, 2009, 47 (04) :1448-1459