A baseline for the multivariate comparison of resting-state networks

被引:1036
作者
Allen, Elena A. [1 ]
Erhardt, Erik B. [1 ]
Damaraju, Eswar [1 ]
Gruner, William [1 ,2 ]
Segall, Judith M. [1 ,3 ]
Silva, Rogers F. [1 ,2 ]
Havlicek, Martin [1 ,2 ]
Rachakonda, Srinivas [1 ]
Fries, Jill [1 ]
Kalyanam, Ravi [1 ,2 ]
Michael, Andrew M. [1 ]
Caprihan, Arvind [1 ]
Turner, Jessica A. [1 ,4 ]
Eichele, Tom [5 ]
Adelsheim, Steven [4 ]
Bryan, Angela D. [1 ,6 ,7 ]
Bustillo, Juan [4 ,8 ]
Clark, Vincent P. [1 ,6 ,8 ]
Ewing, Sarah W. Feldstein [1 ]
Filbey, Francesca [1 ,9 ]
Ford, Corey C. [10 ]
Hutchison, Kent [1 ,6 ,8 ]
Jung, Rex E. [1 ,11 ]
Kiehl, Kent A. [1 ,6 ,8 ]
Kodituwakku, Piyadasa [12 ]
Komesu, Yuko M. [13 ]
Mayer, Andrew R. [1 ,10 ]
Pearlson, Godfrey D. [14 ,15 ,16 ]
Phillips, John P. [1 ,10 ]
Sadek, Joseph R. [4 ,17 ]
Stevens, Michael [14 ,15 ]
Teuscher, Ursina [1 ,6 ]
Thoma, Robert J. [1 ,4 ,6 ]
Calhoun, Vince D. [1 ,2 ,4 ,8 ,15 ]
机构
[1] Mind Res Network, 1101 Yale Boulevaro NE, Albuquerque, NM 87106 USA
[2] Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
[3] Univ New Mexico, Dept Family & Community Med, Albuquerque, NM 87131 USA
[4] Univ New Mexico, Dept Psychiat, Albuquerque, NM USA
[5] Univ Bergen, Fac Psychol, Dept Biol & Med Psychol, Bergen, Norway
[6] Univ New Mexico, Dept Psychol, Albuquerque, NM 87131 USA
[7] Univ New Mexico, Ctr Alcoholism Subst Abuse & Addict, Albuquerque, NM 87131 USA
[8] Univ New Mexico, Dept Neurosci, Albuquerque, NM 87131 USA
[9] Univ Texas Dallas, Ctr BrainHlth, Sch Behav & Brain Sci, Dallas, TX USA
[10] Univ New Mexico, Dept Neurol, Albuquerque, NM USA
[11] Univ New Mexico, Dept Neurosurg, Albuquerque, NM 87131 USA
[12] Univ New Mexico, Ctr Dev & Disabil, Albuquerque, NM 87131 USA
[13] Univ New Mexico, Dept Obstet & Gynecol, Albuquerque, NM 87131 USA
[14] Inst Living, Olin Neuropsychait Res Ctr, Hartford, CT USA
[15] Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
[16] Yale Univ, Dept Neurobiol, New Haven, CT USA
[17] New Mexico VA Hlth Care Syst, Behav Hlth Care Line, Albuquerque, NM USA
关键词
fMRI; functional connectivity; resting-state; independent component analysis; connectome;
D O I
10.3389/fnsys.2011.00002
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
As the size of functional and structural MRI datasets expands, it becomes increasingly important to establish a baseline from which diagnostic relevance may be determined, a processing strategy that efficiently prepares data for analysis, and a statistical approach that identifies important effects in a manner that is both robust and reproducible. In this paper, we introduce a multivariate analytic approach that optimizes sensitivity and reduces unnecessary testing. We demonstrate the utility of this mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described here, provide a useful baseline for future investigations of brain networks in health and disease.
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页数:23
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