A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia

被引:129
|
作者
Turner, Jessica A. [1 ,2 ]
Damaraju, Eswar [1 ]
van Erp, Theog. M. [3 ]
Mathalon, Daniel H. [4 ,5 ]
Ford, Judith M. [4 ,5 ]
Voyvodic, James [6 ]
Mueller, Bryon A. [7 ]
Belger, Aysenil [8 ]
Bustillo, Juan [2 ]
McEwen, Sarah [9 ]
Potkin, Steven G. [3 ]
Calhoun, Vince D. [1 ,2 ,10 ]
机构
[1] Mission Res Network, Albuquerque, NM 87106 USA
[2] Univ New Mexico, Dept Psychiat, Albuquerque, NM 87131 USA
[3] Univ Calif Irvine, Dept Psychiat & Human Behav, Irvine, CA USA
[4] Univ San Francisco, Dept Psychiat, San Francisco, CA 94117 USA
[5] San Francisco VA Med Ctr, San Francisco, CA USA
[6] Duke Univ, Brain Imaging & Anal Ctr, Dept Radiol, Durham, NC USA
[7] Univ Minnesota, Dept Psychiat, Minneapolis, MN 55455 USA
[8] Univ N Carolina, Sch Med, Dept Psychiat, Chapel Hill, NC USA
[9] Univ Calif Los Angeles, Dept Psychiat & Behav Sci, Los Angeles, CA USA
[10] Univ New Mexico, Albuquerque, NM 87131 USA
来源
关键词
resting state fMRI; LFO; ALFF; schizophrenia; multi-site studies; effect size; INDEPENDENT COMPONENT ANALYSIS; LINE BRAIN ACTIVITY; WORKING-MEMORY; FUNCTIONAL CONNECTIVITY; TEST-RETEST; NETWORKS; RELIABILITY; NOISE; OSCILLATIONS; INEFFICIENCY;
D O I
10.3389/fnins.2013.00137
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: This multi-site study compares resting state fMRI amplitude of low frequency fluctuations (ALFF) and fractional ALFF (fALFF) between patients with schizophrenia (SZ) and healthy controls (HC). Methods: Eyes-closed resting fMRI scans (5:38 min; n = 306, 146 SZ) were collected from 6 Siemens 3T scanners and one GE 3T scanner. Imaging data were pre-processed using an SPM pipeline. Power in the low frequency band (0.01-0.08 Hz) was calculated both for the original pre-processed data as well as for the pre-processed data after regressing out the six rigid-body motion parameters, mean white matter (WM) and cerebral spinal fluid (CSF) signals. Both original and regressed ALFF and fALFF measures were modeled with site, diagnosis, age, and diagnosis x age interactions. Results: Regressing out motion and non-gray matter signals significantly decreased fALFF throughout the brain as well as ALFF in the cortical edge, but significantly increased ALFF in subcortical regions. Regression had little effect on site, age, and diagnosis effects on ALFF, other than to reduce diagnosis effects in subcortical regions. There were significant effects of site across the brain in all the analyses, largely due to vendor differences. HC showed greater ALFF in the occipital, posterior parietal, and superior temporal lobe, while SZ showed smaller clusters of greater ALFF in the frontal and temporal/insular regions as well as in the caudate, putamen, and hippocampus. HC showed greater fALFF compared with SZ in all regions, though subcortical differences were only significant for original fALFF. Conclusions: SZ show greater eyes-closed resting state low frequency power in frontal cortex, and less power in posterior lobes than do HC; fALFF, however, is lower in SZ than HC throughout the cortex. These effects are robust to multi-site variability. Regressing out physiological noise signals significantly affects both total and fALFF measures, but does not affect the pattern of case/control differences.
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页数:13
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