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

Abstract

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 × 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,more » 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.« less

Authors:
 [1];  [2];  [3];  [4];  [4];  [5];  [6];  [7];  [8];  [9];  [3];  [10]
  1. Mind Research Network, Albuquerque, NM (United States); Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Psychiatry
  2. Mind Research Network, Albuquerque, NM (United States)
  3. Univ. of California, Irvine, CA (United States). Dept. of Psychiatry and Human Behavior
  4. Univ. of California, San Francisco, CA (United States). Dept. of Psychiatry; San Francisco VA Medical Center, San Francisco, CA (United States)
  5. Duke Univ., Durham, NC (United States). Brain Imaging and Analysis Center. Dept. of Radiology
  6. Univ. of Minnesota, Minneapolis, MN (United States). Dept. of Psychiatry
  7. Univ. of North Carolina, Chapel Hill, NC (United States). School of Medicine. Dept. of Psychiatry
  8. Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Psychiatry
  9. Univ. of California, Los Angeles, CA (United States). Dept. of Psychiatry and Biobehavioral Sciences
  10. Mind Research Network, Albuquerque, NM (United States); Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Psychiatry; Univ. of New Mexico, Albuquerque, NM (United States). Electrical Engineering
Publication Date:
Research Org.:
Mind Research Network, Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
OSTI Identifier:
1628203
Grant/Contract Number:  
FG02-08ER64581
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Neuroscience (Online)
Additional Journal Information:
Journal Name: Frontiers in Neuroscience (Online); Journal Volume: 7; Journal ID: ISSN 1662-453X
Publisher:
Frontiers Research Foundation
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; Neurosciences & Neurology; resting state fMRI; LFO; ALFF; schizophrenia; multi-site studies; effect size

Citation Formats

Turner, Jessica A., Damaraju, Eswar, van Erp, Theo G. M., Mathalon, Daniel H., Ford, Judith M., Voyvodic, James, Mueller, Bryon A., Belger, Aysenil, Bustillo, Juan, McEwen, Sarah, Potkin, Steven G., and Calhoun, Vince D. A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia. United States: N. p., 2013. Web. doi:10.3389/fnins.2013.00137.
Turner, Jessica A., Damaraju, Eswar, van Erp, Theo G. M., Mathalon, Daniel H., Ford, Judith M., Voyvodic, James, Mueller, Bryon A., Belger, Aysenil, Bustillo, Juan, McEwen, Sarah, Potkin, Steven G., & Calhoun, Vince D. A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia. United States. https://doi.org/10.3389/fnins.2013.00137
Turner, Jessica A., Damaraju, Eswar, van Erp, Theo G. M., Mathalon, Daniel H., Ford, Judith M., Voyvodic, James, Mueller, Bryon A., Belger, Aysenil, Bustillo, Juan, McEwen, Sarah, Potkin, Steven G., and Calhoun, Vince D. Tue . "A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia". United States. https://doi.org/10.3389/fnins.2013.00137. https://www.osti.gov/servlets/purl/1628203.
@article{osti_1628203,
title = {A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia},
author = {Turner, Jessica A. and Damaraju, Eswar and van Erp, Theo G. M. and Mathalon, Daniel H. and Ford, Judith M. and Voyvodic, James and Mueller, Bryon A. and Belger, Aysenil and Bustillo, Juan and McEwen, Sarah and Potkin, Steven G. and Calhoun, Vince D.},
abstractNote = {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 × 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.},
doi = {10.3389/fnins.2013.00137},
journal = {Frontiers in Neuroscience (Online)},
number = ,
volume = 7,
place = {United States},
year = {Tue Jan 01 00:00:00 EST 2013},
month = {Tue Jan 01 00:00:00 EST 2013}
}

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