Literature DB >> 15733787

Separation of physiological very low frequency fluctuation from aliasing by switched sampling interval fMRI scans.

Vesa Kiviniemi1, Jyrki Ruohonen, Osmo Tervonen.   

Abstract

Anesthetized children have dominant blood-oxygen-level-dependent (BOLD) signal sources presenting high-power fluctuations at very low frequencies (VLF <0.05 Hz). Aliasing of frequencies higher than critically sampled has been regarded as one probable origin of the VLF fluctuations. Aliased signal frequencies change when the sampling rate of the data is altered. In this study, the aliasing of VLF BOLD signal fluctuation was analysed by switching the repetition time (TR) of magnetic resonance (MR) images. Eleven anesthetized children were imaged at 1.5 T using TRs of 500 and 1200 ms. The BOLD signal sources were separated with independent component analysis (ICA). Occipital cortex signal sources had nonaliased VLF fluctuation ( approximately 0.03 Hz) in 9 of 11 subjects. Arterial signal sources failed to present stable power peaks at frequencies lower than 0.42 Hz presumably due to aliasing. Cerebrospinal fluid (CSF)-related signal sources showed nonaliased VLF in four subjects. In conclusion, the VLF BOLD signal fluctuation in the occipital cortex is a true physiological fluctuation, not a result of signal aliasing.

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Year:  2005        PMID: 15733787     DOI: 10.1016/j.mri.2004.09.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  18 in total

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Review 2.  Assessing functional connectivity in the human brain by fMRI.

Authors:  Baxter P Rogers; Victoria L Morgan; Allen T Newton; John C Gore
Journal:  Magn Reson Imaging       Date:  2007-05-11       Impact factor: 2.546

3.  Partitioning of physiological noise signals in the brain with concurrent near-infrared spectroscopy and fMRI.

Authors:  Yunjie Tong; Kimberly P Lindsey; Blaise deB Frederick
Journal:  J Cereb Blood Flow Metab       Date:  2011-08-03       Impact factor: 6.200

Review 4.  Intrinsic brain activity in altered states of consciousness: how conscious is the default mode of brain function?

Authors:  M Boly; C Phillips; L Tshibanda; A Vanhaudenhuyse; M Schabus; T T Dang-Vu; G Moonen; R Hustinx; P Maquet; S Laureys
Journal:  Ann N Y Acad Sci       Date:  2008       Impact factor: 5.691

Review 5.  Functional connectivity MRI in infants: exploration of the functional organization of the developing brain.

Authors:  Christopher D Smyser; Abraham Z Snyder; Jeffrey J Neil
Journal:  Neuroimage       Date:  2011-03-03       Impact factor: 6.556

Review 6.  Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.

Authors:  Najmeh Khalili-Mahani; Serge A R B Rombouts; Matthias J P van Osch; Eugene P Duff; Felix Carbonell; Lisa D Nickerson; Lino Becerra; Albert Dahan; Alan C Evans; Jean-Paul Soucy; Richard Wise; Alex P Zijdenbos; Joop M van Gerven
Journal:  Hum Brain Mapp       Date:  2017-02-01       Impact factor: 5.038

7.  Synchronous multiscale neuroimaging environment for critically sampled physiological analysis of brain function: hepta-scan concept.

Authors:  Vesa Korhonen; Tuija Hiltunen; Teemu Myllylä; Xindi Wang; Jussi Kantola; Juha Nikkinen; Yu-Feng Zang; Pierre LeVan; Vesa Kiviniemi
Journal:  Brain Connect       Date:  2014-09-26

8.  Effects of heartbeat and respiration on macaque fMRI: implications for functional connectivity.

Authors:  Tobias Teichert; Jack Grinband; Joy Hirsch; Vincent P Ferrera
Journal:  Neuropsychologia       Date:  2009-12-05       Impact factor: 3.139

9.  Age-Related Differences in Functional Nodes of the Brain Cortex - A High Model Order Group ICA Study.

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Journal:  Front Syst Neurosci       Date:  2010-08-26

10.  Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain.

Authors:  W Lin; Q Zhu; W Gao; Y Chen; C-H Toh; M Styner; G Gerig; J K Smith; B Biswal; J H Gilmore
Journal:  AJNR Am J Neuroradiol       Date:  2008-09-10       Impact factor: 3.825

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