Low Frequency Systemic Hemodynamic “Noise” in Resting State BOLD fMRI: Characteristics, Causes, Implications, Mitigation Strategies, and Applications
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Title
Low Frequency Systemic Hemodynamic “Noise” in Resting State BOLD fMRI: Characteristics, Causes, Implications, Mitigation Strategies, and Applications
Authors
Keywords
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Journal
Frontiers in Neuroscience
Volume 13, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-08-14
DOI
10.3389/fnins.2019.00787
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Note: Only part of the references are listed.- Cerebral circulation time derived from fMRI signals in large blood vessels
- (2019) Jinxia (Fiona) Yao et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Systemic low-frequency oscillations observed in the periphery of healthy human subjects
- (2018) Yingwei Li et al. JOURNAL OF BIOMEDICAL OPTICS
- The resting-state fMRI arterial signal predicts differential blood transit time through the brain
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- Stomach-brain synchrony reveals a novel, delayed-connectivity resting-state network in humans
- (2018) Ignacio Rebollo et al. eLife
- Resting-state Functional Magnetic Resonance Imaging Identifies Cerebrovascular Reactivity Impairment in Patients With Arterial Occlusive Diseases: A Pilot Study
- (2018) Sei Nishida et al. NEUROSURGERY
- Non-invasive monitoring of longitudinal changes in cerebral hemodynamics in acute ischemic stroke using BOLD signal delay
- (2018) Ahmed A Khalil et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Reprint of ‘Noise contributions to the fMRI signal: An Overview'
- (2017) Thomas T. Liu NEUROIMAGE
- Relationship Between Changes in the Temporal Dynamics of the Blood-Oxygen-Level-Dependent Signal and Hypoperfusion in Acute Ischemic Stroke
- (2017) Ahmed A. Khalil et al. STROKE
- A Resilient, Non-neuronal Source of the Spatiotemporal Lag Structure Detected by BOLD Signal-Based Blood Flow Tracking
- (2017) Toshihiko Aso et al. Frontiers in Neuroscience
- Implication of cerebral circulation time in intracranial stenosis measured by digital subtraction angiography on cerebral blood flow estimation measured by arterial spin labeling
- (2016) Kay Jann et al. Diagnostic and Interventional Radiology
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- (2016) Sinem B. Erdoğan et al. Frontiers in Human Neuroscience
- Perfusion information extracted from resting state functional magnetic resonance imaging
- (2016) Yunjie Tong et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- The effects of hemodynamic lag on functional connectivity and behavior after stroke
- (2016) Joshua S Siegel et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Time delay processing of hypercapnic fMRI allows quantitative parameterization of cerebrovascular reactivity and blood flow delays
- (2016) Manus J Donahue et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Comparison of peripheral near-infrared spectroscopy low-frequency oscillations to other denoising methods in resting state functional MRI with ultrahigh temporal resolution
- (2016) Lia M. Hocke et al. MAGNETIC RESONANCE IN MEDICINE
- Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: Validation in healthy adults
- (2016) Ali M. Golestani et al. NEUROIMAGE
- The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide
- (2016) Ali M. Golestani et al. NEUROIMAGE
- Resting-state hemodynamics are spatiotemporally coupled to synchronized and symmetric neural activity in excitatory neurons
- (2016) Ying Ma et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type
- (2016) Yunjie Tong et al. Frontiers in Neuroscience
- Implication of cerebral circulation time in intracranial stenosis measured by digital subtraction angiography on cerebral blood flow estimation measured by arterial spin labeling
- (2016) Kay Jann et al. Diagnostic and Interventional Radiology
- Can apparent resting state connectivity arise from systemic fluctuations?
- (2015) Yunjie Tong et al. Frontiers in Human Neuroscience
- Cerebral Circulation Time is Prolonged and Not Correlated with EDSS in Multiple Sclerosis Patients: A Study Using Digital Subtracted Angiography
- (2015) Lucia Monti et al. PLoS One
- Studying the Spatial Distribution of Physiological Effects on BOLD Signals Using Ultrafast fMRI
- (2014) Yunjie Tong et al. Frontiers in Human Neuroscience
- Tracking cerebral blood flow in BOLD fMRI using recursively generated regressors
- (2014) Yunjie Tong et al. HUMAN BRAIN MAPPING
- Noncontrast mapping of arterial delay and functional connectivity using resting-state functional MRI: A study in Moyamoya patients
- (2014) Thomas Christen et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Routine Clinical Evaluation of Cerebrovascular Reserve Capacity Using Carbogen in Patients With Intracranial Stenosis
- (2014) Manus J. Donahue et al. STROKE
- Comparison of CO2 in Air Versus Carbogen for the Measurement of Cerebrovascular Reactivity with Magnetic Resonance Imaging
- (2013) Hannah V Hare et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Short repetition time multiband echo-planar imaging with simultaneous pulse recording allows dynamic imaging of the cardiac pulsation signal
- (2013) Yunjie Tong et al. MAGNETIC RESONANCE IN MEDICINE
- Evaluating the effects of systemic low frequency oscillations measured in the periphery on the independent component analysis results of resting state networks
- (2013) Yunjie Tong et al. NEUROIMAGE
- Reliable quantification of BOLD fMRI cerebrovascular reactivity despite poor breath-hold performance
- (2013) Molly G. Bright et al. NEUROIMAGE
- Cerebral Hemodynamic Impairment: Assessment with Resting-State Functional MR Imaging
- (2013) Shiori Amemiya et al. RADIOLOGY
- Identifying the perfusion deficit in acute stroke with resting-state functional magnetic resonance imaging
- (2012) Yating Lv et al. ANNALS OF NEUROLOGY
- Low-Frequency Spontaneous Oscillations of Cerebral Hemodynamics Investigated With Near-Infrared Spectroscopy: A Review
- (2012) A. Sassaroli et al. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
- Low-frequency oscillations measured in the periphery with near-infrared spectroscopy are strongly correlated with blood oxygen level-dependent functional magnetic resonance imaging signals
- (2012) Yunjie Tong et al. JOURNAL OF BIOMEDICAL OPTICS
- CBF measurements using multidelay pseudocontinuous and velocity-selective arterial spin labeling in patients with long arterial transit delays: Comparison with xenon CT CBF
- (2012) Deqiang Qiu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Concurrent fNIRS and fMRI processing allows independent visualization of the propagation of pressure waves and bulk blood flow in the cerebral vasculature
- (2012) Yunjie Tong et al. NEUROIMAGE
- Physiological denoising of BOLD fMRI data using Regressor Interpolation at Progressive Time Delays (RIPTiDe) processing of concurrent fMRI and near-infrared spectroscopy (NIRS)
- (2012) Blaise deB. Frederick et al. NEUROIMAGE
- Periodic changes in fMRI connectivity
- (2012) Daniel A. Handwerker et al. NEUROIMAGE
- Filtering induces correlation in fMRI resting state data
- (2012) Catherine E. Davey et al. NEUROIMAGE
- Association between heart rate variability and fluctuations in resting-state functional connectivity
- (2012) Catie Chang et al. NEUROIMAGE
- Vasomotion - what is currently thought?
- (2011) C. Aalkjaer et al. Acta Physiologica
- Isolating the sources of widespread physiological fluctuations in functional near-infrared spectroscopy signals
- (2011) Yunjie Tong et al. JOURNAL OF BIOMEDICAL OPTICS
- Partitioning of Physiological Noise Signals in the Brain with Concurrent Near-Infrared Spectroscopy and fMRI
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- Reconstruction of gastric slow wave from finger photoplethysmographic signal using radial basis function neural network
- (2011) S. Mohamed Yacin et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- An improved method for mapping cerebrovascular reserve using concurrent fMRI and near-infrared spectroscopy with Regressor Interpolation at Progressive Time Delays (RIPTiDe)
- (2011) Yunjie Tong et al. NEUROIMAGE
- Vasomotion and Neurovascular Coupling in the Visual Thalamus In Vivo
- (2011) Casto Rivadulla et al. PLoS One
- Investigating the electrophysiological basis of resting state networks using magnetoencephalography
- (2011) M. J. Brookes et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Quantification of Cerebrovascular Reactivity by Blood Oxygen Level–Dependent MR Imaging and Correlation with Conventional Angiography in Patients with Moyamoya Disease
- (2010) C. Heyn et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain
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- (2008) Arenda HEA van Beek et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration
- (2008) Rasmus M. Birn et al. NEUROIMAGE
- Influence of heart rate on the BOLD signal: The cardiac response function
- (2008) Catie Chang et al. NEUROIMAGE
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