Linked Life Data

19393322

Source:http://linkedlifedata.com/resource/pubmed/id/19393322

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-7-31
pubmed:abstractText
A significant component of BOLD fMRI physiological noise is caused by variations in the depth and rate of respiration. It has previously been demonstrated that a breath-to-breath metric of respiratory variation (respiratory volume per time; RVT), computed from pneumatic belt measurements of chest expansion, has a strong linear relationship with resting-state BOLD signals across the brain. RVT is believed to capture breathing-induced changes in arterial CO(2), which is a cerebral vasodilator; indeed, separate studies have found that spontaneous fluctuations in end-tidal CO(2) (PETCO(2)) are correlated with BOLD signal time series. The present study quantifies the degree to which RVT and PETCO(2) measurements relate to one another and explain common aspects of the resting-state BOLD signal. It is found that RVT (particularly when convolved with a particular impulse response, the "respiration response function") is highly correlated with PETCO(2), and that both explain remarkably similar spatial and temporal BOLD signal variance across the brain. In addition, end-tidal O(2) is shown to be largely redundant with PETCO(2). Finally, the latency at which PETCO(2) and respiration belt measures are correlated with the time series of individual voxels is found to vary across the brain and may reveal properties of intrinsic vascular response delays.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1095-9572
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1381-93
pubmed:dateRevised
2010-12-3
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI.
pubmed:affiliation
Department of Electrical Engineering, Stanford University, Stanford, CA 94305-5488, USA. catie@stanford.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural