Physiological noise modelling for spinal functional magnetic resonance imaging studies

被引：160

作者：

Brooks, Jonathan C. W. ^{[1
]}

Beckmann, Christian F. ^{[5
]}

Miller, Karla L. ^{[2
]}

Wise, Richard G. ^{[3
]}

Porro, Carlo A. ^{[4
]}

Tracey, Irene ^{[1
,2
]}

Jenkinson, Mark

机构：

[1] Dept Physiol Anat & Genet, PaIN Grp, Oxford OX1 3QX, England

[2] John Radcliffe Hosp, Ctr Funct Magnet Resonance Imaging Brain, Dept Clin Neurol, Oxford, England

[3] Cardiff Univ, Sch Psychol, CUBRIC, Cardiff, Wales

[4] Univ Modena & Reggio Emelia, Dept Biomed Sci, Modena, Italy

[5] Imperial Coll London, Div Neurosci & Mental Hlth, London, England

来源：

NEUROIMAGE | 2008年 / 39卷 / 02期

基金：

英国生物技术与生命科学研究理事会; 英国医学研究理事会;

关键词：

D O I：

10.1016/j.neuroimage.2007.09.018

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Spinal cord functional imaging allows assessment of activity in primary synaptic connections made by sensory neurons relaying information about the state of the body. However, reported human data based on gradient-echo techniques have been largely inconsistent, with no clear patterns of activation emerging. One reason for this variability is the influence of physiological noise, which is typically not corrected for. By acquiring single-slice resting data from the spinal cord with a conventional gradient-echo EPI pulse sequence at TR=200 ms (critically sampled) and TR=3 s (under-sampled), we have chatacterised various sources of physiological noise. In 8 healthy subjects, the presence of physiologically dependent signal was explored using probabilistic independent component analysis (PICA). Based on the insights provided by PICA, we defined a new physiological noise model (PNM) based on retrospective image correction (RETROICOR), which uses independent physiological measurements taken from the subject to model sources of noise. Statistical significance of individual components included in the PNM was assessed by F-tests, which demonstrated that the optimal PNM included cardiac, respiratory, interaction and low-frequency regressors. In a group of 10 healthy subjects, activation data were acquired from the cervical spinal region (T1 to C5) during painful thermal stimulation of the right and left hands. The improvement obtained when using a PNM in estimating spinal cord activation was reflected in a reduction of false-positive activation (active voxels in the CSF space surrounding the cord), when compared to conventional GLM modelling without a PNM. (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：680 / 692

页数：13