scholarly journals Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series

2018 ◽  
Vol 8 (1) ◽  
pp. 10-21 ◽  
Author(s):  
Kaundinya Gopinath ◽  
Venkatagiri Krishnamurthy ◽  
Simon Lacey ◽  
K. Sathian
Keyword(s):  
Magnetic Resonance Imaging ◽  
Time Series ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Spatial Autocorrelation ◽  
Autocorrelation Function ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Non Gaussian ◽  
Level Analysis

scholarly journals Estimates of locus coeruleus function with functional magnetic resonance imaging are influenced by localization approaches and the use of multi-echo data

2019 ◽  
Author(s):  
Hamid B. Turker ◽  
Elizabeth Riley ◽  
Wen-Ming Luh ◽  
Stan J. Colcombe ◽  
Khena M. Swallow
Keyword(s):  
Magnetic Resonance Imaging ◽  
Time Series ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Locus Coeruleus ◽  
Signal To Noise Ratio ◽  
Fmri Data ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Signal To Noise

AbstractThe locus coeruleus (LC) plays a central role in regulating human cognition, arousal, and autonomic states. Efforts to characterize the LC’s function in humans using functional magnetic resonance imaging have been hampered by its small size and location near a large source of noise, the fourth ventricle. We tested whether the ability to characterize LC function is improved by employing neuromelanin-T1 weighted images (nmT1) for LC localization and multi-echo functional magnetic resonance imaging (ME-fMRI) for estimating intrinsic functional connectivity (iFC). Analyses indicated that, relative to a probabilistic atlas, utilizing nmT1 images to individually localize the LC increases the specificity of seed time series and clusters in the iFC maps. When combined with independent components analysis (ME-ICA), ME-fMRI data provided significant gains in the temporal signal to noise ratio relative to denoised single-echo (1E) data. The effects of acquiring nmT1 images and ME-fMRI data did not appear to only reflect increases in power: iFC maps for each approach only moderately overlapped. This is consistent with findings that ME-fMRI offers substantial advantages over 1E data acquisition and denoising. It also suggests that individually identifying LC with nmT1 scans is likely to reduce the influence of other nearby brainstem regions on estimates of LC function.HighlightsManual tracing of locus coeruleus increased specificity of seed time seriesManual tracing of locus coeruleus increased specificity of intrinsic connectivityMulti-echo fMRI increased temporal signal-to-noise ratio compared to single-echo fMRIConnectivity maps across methodologies overlapped only moderatelyMeasurement of LC function benefits from multi-echo fMRI and tracing ROIs

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