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Ngo GC, Wong CN, Guo S, Paine T, Kramer AF, Sutton BP. Magnetic susceptibility-induced echo-time shifts: Is there a bias in age-related fMRI studies? J Magn Reson Imaging 2016; 45:207-214. [PMID: 27299727 DOI: 10.1002/jmri.25347] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 05/31/2016] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To evaluate the potential for bias in functional magnetic resonance imaging (fMRI) aging studies resulting from age-related differences in magnetic field distributions that can impact echo time and functional contrast. MATERIALS AND METHODS Magnetic field maps were taken on 31 younger adults (age: 22 ± 2.9 years) and 46 older adults (age: 66 ± 4.5 years) on a 3T scanner. Using the spatial gradients of the magnetic field map for each participant, an echo planar imaging (EPI) trajectory was simulated. The effective echo time, time at which the k-space trajectory is the closest to the center of k-space, was calculated. This was used to examine both within-subject and across-age-group differences in the effective echo time maps. The blood oxygenation level-dependent (BOLD) percent signal change resulting from those echo time shifts was also calculated to determine their impact on fMRI aging studies. RESULTS For a single subject, the effective echo time varied as much as ±5 msec across the brain. An unpaired t-test between the effective echo time across age groups resulted in significant differences in several regions of the brain (P < 0.01). The difference in echo time was only ∼1 msec, however, which is not expected to have an important impact on BOLD fMRI percent signal change (<4%). CONCLUSION Susceptibility-induced magnetic field gradients induce local echo-time shifts in gradient echo fMRI images, which can cause variable BOLD sensitivity across the brain. However, the age-related differences in BOLD signal are expected to be small for an fMRI study at 3T. LEVEL OF EVIDENCE 1 J. Magn. Reson. Imaging 2017;45:207-214.
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Affiliation(s)
- Giang-Chau Ngo
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute of Technology for Advanced Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Chelsea N Wong
- Beckman Institute of Technology for Advanced Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Steve Guo
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute of Technology for Advanced Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Thomas Paine
- Beckman Institute of Technology for Advanced Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Arthur F Kramer
- Beckman Institute of Technology for Advanced Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Bradley P Sutton
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute of Technology for Advanced Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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