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

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.

doi:10.3389/fnins.2013.00137

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

Journal Article · Tue Jan 01 00:00:00 EST 2013 · Frontiers in Neuroscience (Online)

DOI:https://doi.org/10.3389/fnins.2013.00137· OSTI ID:1628203

Turner, Jessica A. ^[1]; Damaraju, Eswar ^[2]; van Erp, Theo G. M. ^[3]; Mathalon, Daniel H. ^[4]; Ford, Judith M. ^[4]; Voyvodic, James ^[5]; Mueller, Bryon A. ^[6]; Belger, Aysenil ^[7]; Bustillo, Juan ^[8]; McEwen, Sarah ^[9]; Potkin, Steven G. ^[3]; Calhoun, Vince D. ^[10]

Mind Research Network, Albuquerque, NM (United States); Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Psychiatry
Mind Research Network, Albuquerque, NM (United States)
Univ. of California, Irvine, CA (United States). Dept. of Psychiatry and Human Behavior
Univ. of California, San Francisco, CA (United States). Dept. of Psychiatry; San Francisco VA Medical Center, San Francisco, CA (United States)
Duke Univ., Durham, NC (United States). Brain Imaging and Analysis Center. Dept. of Radiology
Univ. of Minnesota, Minneapolis, MN (United States). Dept. of Psychiatry
Univ. of North Carolina, Chapel Hill, NC (United States). School of Medicine. Dept. of Psychiatry
Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Psychiatry
Univ. of California, Los Angeles, CA (United States). Dept. of Psychiatry and Biobehavioral Sciences
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

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.

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Research Organization:: Mind Research Network, Albuquerque, NM (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division

Grant/Contract Number:: FG02-08ER64581

OSTI ID:: 1628203

Journal Information:: Frontiers in Neuroscience (Online), Vol. 7; ISSN 1662-453X

Publisher:: Frontiers Research FoundationCopyright Statement

Country of Publication:: United States

Language:: English

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Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort Wang, Zheng; Meda, Shashwath A.; Keshavan, Matcheri S. Frontiers in Psychiatry, Vol. 6 https://doi.org/10.3389/fpsyt.2015.00174	journal	December 2015
Weighted Random Support Vector Machine Clusters Analysis of Resting-State fMRI in Mild Cognitive Impairment Bi, Xia-an; Xu, Qian; Luo, Xianhao Frontiers in Psychiatry, Vol. 9 https://doi.org/10.3389/fpsyt.2018.00340	journal	July 2018

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