Physiological noise reduction using volumetric functional magnetic resonance inverse imaging
Year: 2011
Type: article
Abstract: Physiological noise arising from a variety of sources can significantly degrade the detection of task-related activity in BOLD-contrast fMRI experiments. If whole head spatial coverage is desired, effective suppression of oscillatory physiological noise from cardiac and respiratory fluctuations is quite difficult without external monitoring, since traditional EPI acquisition methods cannot sample the signal rapidly enough to satisfy the Nyquist sampling theorem, leading to temporal aliasing of noise. Using a combination of high speed magnetic resonance inverse imaging (InI) and digital filtering, we demonstrate that it is possible to suppress cardiac and respiratory noise without auxiliary monitoring, while achieving whole head spatial coverage and reasonable spatial resolution. Our systematic study of the effects of different moving average (MA) digital filters demonstrates that a MA filter with a 2 s window can effectively reduce the variance in the hemodynamic baseline signal, thereby achieving 57%-58% improvements in peak z-statistic values compared to unfiltered InI or spatially smoothed EPI data (FWHM = 8.6 mm). In conclusion, the high temporal sampling rates achievable with InI permit significant reductions in physiological noise using standard temporal filtering techniques that result in significant improvements in hemodynamic response estimation.
Source: Human Brain Mapping
DOI: 10.1002/hbm.21403
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: National Institute of Mental Health, National Institute on Drug Abuse, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Parallel Excitation Methods for High Field MRI, Catagorizing Parallel Human Auditory Pathways by Spatiotemporally Focused TMS, Spatiotemporal Brain Imaging: Microscopic and System Level, Biological Spatial Resolution Limits in fMRI, HIGH FIELD MR RESEARCH IN DRUG ABUSE, Spatiotemporal Brain Imaging of Human Auditory Cognition, Dynamic Magnetic Resonance Inverse Imaging of the Human Brain, Center for Functional Imaging Technologies, Dynamic imaging of oscillatory brain networks controlling selective attention, Spatiotemporal Imaging of Human Visual System Processing, Neural mechanisms: Learned audio-visuo-motor integration
OpenAlex ID: W2103146876