Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults.

By H. Obrig, M. Neufang, R. Wenzel, M. Kohl, J. Steinbrink, K. Einhäupl, Arno Villringer. NeuroImage, 2000

640 citations recorded by the source corpus.

Subfields: Neurology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d2c477d72e42215a71381a17ce582756fac3b49f

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Citations in the corpus

A Quantitative Comparison of Simultaneous BOLD fMRI and NIRS Recordings during Functional Brain Activation (2002, background): “Several types of such signals have been characterized, including heart rate (Gratton and Corballis, 1995), Mayer waves, and “very low frequency oscillations” (Obrig et al., 2000).”
Short separation channel location impacts the performance of short channel regression in NIRS (2011, background): “This interference arises from cardiac activity, respiration and other homeostatic processes (Diamond et al., 2009; Obrig et al., 2000; Payne et al., 2009; Tonorov et al., 2000).”
Resting-state FMRI confounds and cleanup (2013, positive): “In resting-state fMRI, we are interested in low-frequency oscillations in metabolism, however, using near-infrared spectroscopy (NIRS), has demonstrated that such fluctuations are also accompanied by low-frequency variations in CBF and oxygenation (Obrig et al., 2000).”
Investigations into resting-state connectivity using independent component analysis (2005, positive): “Obrig et al. (2000) reviewed and studied low-frequency variations in oxygenation, cerebral blood flow and metabolism, and report significant correlations with similar fluctuations observed by near infrared spectroscopy (NIRS).”
Resting-state functional connectivity in the human brain revealed with diffuse optical tomography (2009, background): “Low frequency fluctuations in cerebral hemodynamics have been detected by NIRS (Obrig et al., 2000; Elwell et al., 1999).”
Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. (2004, background): “The arterial blood pressure varies on multiple time scales including the cardiac pulsation, respiration, approximately 10-s Mayer waves (Obrig et al., 2000), and slower N50-s variation.”
Assessing functional connectivity in the human brain by fMRI. (2007, background): “Work with near infra-red spectroscopy techniques has confirmed that this fluctuation is not specific to fMRI [58;59], and simultaneous measurement of fMRI and EEG data in subjects at rest has suggested that the oscillations arise from underlying spontaneous neuronal activity [60].”
HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. (2009, background): “Physiological systemic noise arising from the cardiac cycle, respiration, systemic blood pressure, and Mayer wave fluctuations are a common component of signal interference in NIRS measurements [3,69,70,106,107,109,114].”
Independent component analysis of nondeterministic fMRI signal sources (2003, methodology): “…signal sources based on their non-Gaussian distributions could thus be used in differentiating nondeterministic physiological signal sources from fMRI data (Kiviniemi et al., 2000; Eke and Hermán, 1999; West et al., 1999; Obrig et al., 2000; McKeown et al., 1998; McKeown and Sejnowski, 1998).”
Detection of functional connectivity using temporal correlations in MR images (2002, background): “It has been suggested that they may be related to the low frequency oscillations in cerebral hemodynamics and metabolism that have been found in different species [Biswal et al., 1995; see discussion by Obrig et al., 2000].”
Event-related functional near-infrared spectroscopy (fNIRS): Are the measurements reliable? (2006, background): “eventrelated study designs; time series analysis) enabled fNIRS to easily enter psychological, psychiatric and basic research on children, adults and elderly subjects (e.g. Ehlis et al., 2005; Fallgatter and Strik, 1997, 1998; Fujiwara et al., 2004; Herrmann et al., 2005a, 2005b; Kusaka et al., 2004”
Principles, techniques, and limitations of near infrared spectroscopy. (2004, background): “Obrig et al. (2000) investigated slow spontaneous oscillations in cerebral oxygenation in the human adult’s visual cortex.”
Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal (2004, background): “neuronal, metabolic and vascular origin have been suggested (Elwell et al., 1999; Hudetz et al., 1998; Obrig et al., 2000).”
A Wearable Multi-Channel fNIRS System for Brain Imaging in Freely Moving Subjects (2013, background): “by global hemodynamics such as motion induced changes in the cardiac pulsation, systemic blood pressure, respiration, vasomotor oscillations, or Mayer wave fluctuations (Gregg et al., 2010; Habermehl et al., 2012b; Huppert et al., 2009; Kirilina et al., 2012; Obrig et al., 2000; Saager and Berger, 2”
Beyond the Visible—Imaging the Human Brain with Light (2003, background): “In addition, spontaneous oscillations (independent of the functional activation) have been shown to be much larger in this parameter when compared with deoxy-Hb, thereby increasing physiologic noise (Obrig et al., 2000a).”