Journal article
Impact of autocorrelation on functional connectivity
NeuroImage (Orlando, Fla.), Vol.102 Pt 2(2), pp.294-308
11/15/2014
DOI: 10.1016/j.neuroimage.2014.07.045
PMCID: PMC4253536
PMID: 25072392
Abstract
Although the impact of serial correlation (autocorrelation) in residuals of general linear models for fMRI time-series has been studied extensively, the effect of autocorrelation on functional connectivity studies has been largely neglected until recently. Some recent studies based on results from economics have questioned the conventional estimation of functional connectivity and argue that not correcting for autocorrelation in fMRI time-series results in "spurious" correlation coefficients. In this paper, first we assess the effect of autocorrelation on Pearson correlation coefficient through theoretical approximation and simulation. Then we present this effect on real fMRI data. To our knowledge this is the first work comprehensively investigating the effect of autocorrelation on functional connectivity estimates. Our results show that although FC values are altered, even following correction for autocorrelation, results of hypothesis testing on FC values remain very similar to those before correction. In real data we show this is true for main effects and also for group difference testing between healthy controls and schizophrenia patients. We further discuss model order selection in the context of autoregressive processes, effects of frequency filtering and propose a preprocessing pipeline for connectivity studies.
Details
- Title: Subtitle
- Impact of autocorrelation on functional connectivity
- Creators
- Mohammad R Arbabshirani - The Mind Research Network, Albuquerque, NM, USA; Department of ECE, University of New Mexico, Albuquerque, NM, USA. Electronic address: marbabshirani@mrn.orgEswar Damaraju - The Mind Research Network, Albuquerque, NM, USARonald Phlypo - Department of CSEE, University of Maryland, Baltimore County, MD, USASergey Plis - The Mind Research Network, Albuquerque, NM, USAElena Allen - The Mind Research Network, Albuquerque, NM, USA; K. G. Jebsen Cener for Research on Neuropsychiatric Disorders, University of Bergen, Norway; Department of Biological and Medical Psychology, University of Bergen, NorwaySai Ma - Department of CSEE, University of Maryland, Baltimore County, MD, USADaniel Mathalon - Department of Psychiatry, University of California, San Francisco, CA, USA; San Francisco VA Medical Center, San Francisco, CA, USAAdrian Preda - Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USAJatin G Vaidya - Department of Psychiatry, University of Iowa, IA, USATülay Adali - Department of CSEE, University of Maryland, Baltimore County, MD, USAVince D Calhoun - The Mind Research Network, Albuquerque, NM, USA; Department of ECE, University of New Mexico, Albuquerque, NM, USA
- Resource Type
- Journal article
- Publication Details
- NeuroImage (Orlando, Fla.), Vol.102 Pt 2(2), pp.294-308
- DOI
- 10.1016/j.neuroimage.2014.07.045
- PMID
- 25072392
- PMCID
- PMC4253536
- NLM abbreviation
- Neuroimage
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Publisher
- United States
- Grant note
- COBRE NIGMS P20GM103472 / PHS HHS P20 GM103472 / NIGMS NIH HHS U24-RR021992 / NCRR NIH HHS U24 RR021992 / NCRR NIH HHS
- Language
- English
- Date published
- 11/15/2014
- Academic Unit
- Psychiatry; Iowa Neuroscience Institute; University College Courses
- Record Identifier
- 9984003416402771
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