Robust, unbiased general linear model estimation of phMRI signal amplitude in the presence of variation in the temporal response profile.
OBJECTIVE
To determine a simple yet robust method to generate parsimonious design matrices that accurately estimate the "pharmacological MRI" (phMRI) response amplitude in the presence of both confounding signals and variability in temporal profile. Variability in the temporal response profile of phMRI time series data is often observed. If not properly accounted for, this variation can result in inaccurate and unevenly biased signal amplitude estimates when modeled within a general linear model (GLM) framework.


METHODS
The approach uses a low-rank singular value decomposition (SVD) approximation to a set of vectors capturing anticipated variations of no interest around the signal model to generate additional regressors for the design matrix. The method is demonstrated for both plateau and bolus type phMRI response profiles in the presence of variation in signal onset and/or shape, and applied to an in vivo blood oxygenation level-dependent (BOLD) phMRI study of buprenorphine in healthy human subjects.


RESULTS
In general, 2-3 additional regressors, capturing >75% of the anticipated variance, resulted in robust and unbiased signal amplitude estimates in the presence of substantial variability.


CONCLUSIONS
This method provides a simple and flexible means to provide robust phMRI amplitude estimates within a GLM framework.
P.A.I.N. Group, McLean Hospital, Harvard Medical School, Belmont, Massachusetts 02478, USA.
Gautam V
GV
Pendse
Adam J
AJ
Schwarz
Richard
R
Baumgartner
Alexandre
A
Coimbra
Jaymin
J
Upadhyay
David
D
Borsook
Lino
L
Becerra
D000465:Algorithms; D001921:Brain / Q000473:pathology; D001931:Brain Mapping; D002047:Buprenorphine / Q000494:pharmacology*; D003198:Computer Simulation; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D016011:Normal Distribution; D010100:Oxygen / Q000737:chemistry; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors
D002047:Buprenorphine; D010100:Oxygen