Comparison of peripheral near‐infrared spectroscopy low‐frequency oscillations to other denoising methods in resting state functional MRI with ultrahigh temporal resolution
暂无分享,去创建一个
Yunjie Tong | K. P. Lindsey | Y. Tong | L. Hocke | Lia M. Hocke | Kimberly P. Lindsey | Blaise de B. Frederick | Blaise de B Frederick
[1] Yunjie Tong,et al. Physiological denoising of BOLD fMRI data using Regressor Interpolation at Progressive Time Delays (RIPTiDe) processing of concurrent fMRI and near-infrared spectroscopy (NIRS) , 2012, NeuroImage.
[2] Y. Benjamini,et al. More powerful procedures for multiple significance testing. , 1990, Statistics in medicine.
[3] S. Ogawa,et al. Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields , 1990, Magnetic resonance in medicine.
[4] G. Sutton,et al. Studies on the rapidity of complete blood circulation in man. , 1950, American heart journal.
[5] C. Aalkjær,et al. Vasomotion – what is currently thought? , 2011, Acta physiologica.
[6] Catie Chang,et al. Effects of model-based physiological noise correction on default mode network anti-correlations and correlations , 2009, NeuroImage.
[7] Yunjie Tong,et al. 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 , 2010, NeuroImage.
[8] Yunjie Tong,et al. 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, Journal of biomedical optics.
[9] Gary F. Egan,et al. Filtering induces correlation in fMRI resting state data , 2013, NeuroImage.
[10] Lawrence L. Wald,et al. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters , 2005, NeuroImage.
[11] Yunjie Tong,et al. Evaluating the effects of systemic low frequency oscillations measured in the periphery on the independent component analysis results of resting state networks , 2013, NeuroImage.
[12] Stephen M. Smith,et al. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging , 2010, PloS one.
[13] S. Arridge,et al. Estimation of optical pathlength through tissue from direct time of flight measurement , 1988 .
[14] Ron Kikinis,et al. Statistical validation of image segmentation quality based on a spatial overlap index. , 2004, Academic radiology.
[15] Jeff H. Duyn,et al. Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal , 2007, NeuroImage.
[16] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[17] G H Glover,et al. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.
[18] Michele L. Pierro,et al. Low-Frequency Spontaneous Oscillations of Cerebral Hemodynamics Investigated With Near-Infrared Spectroscopy: A Review , 2012, IEEE Journal of Selected Topics in Quantum Electronics.
[19] Martin Müller,et al. A comparison of dynamic cerebral autoregulation across changes in cerebral blood flow velocity for 200 s , 2014, Front. Physiol..
[20] R. Buxton,et al. Dynamics of blood flow and oxygenation changes during brain activation: The balloon model , 1998, Magnetic resonance in medicine.
[21] J. Tukey. Some thoughts on clinical trials, especially problems of multiplicity. , 1977, Science.
[22] Peter A. Bandettini,et al. The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration , 2008, NeuroImage.
[23] B. Levine,et al. Transfer function analysis of dynamic cerebral autoregulation in humans. , 1998, American journal of physiology. Heart and circulatory physiology.
[24] J. Claassen,et al. Cerebral Autoregulation: An Overview of Current Concepts and Methodology with Special Focus on the Elderly , 2008, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[25] J P Saul,et al. Cerebral Intravascular Oxygenation Correlates With Mean Arterial Pressure in Critically Ill Premature Infants , 2000, Pediatrics.
[26] Timothy D. Verstynen,et al. Using pulse oximetry to account for high and low frequency physiological artifacts in the BOLD signal , 2011, NeuroImage.
[27] Peter A. Bandettini,et al. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.
[28] Yunjie Tong,et al. Can apparent resting state connectivity arise from systemic fluctuations? , 2015, Front. Hum. Neurosci..
[29] Yunjie Tong,et al. Isolating the sources of widespread physiological fluctuations in functional near-infrared spectroscopy signals. , 2011, Journal of biomedical optics.
[30] A. Villringer,et al. Spontaneous Low Frequency Oscillations of Cerebral Hemodynamics and Metabolism in Human Adults , 2000, NeuroImage.
[31] D. Boas,et al. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. , 2009, Applied optics.
[32] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[33] Congwu Du,et al. Low-frequency calcium oscillations accompany deoxyhemoglobin oscillations in rat somatosensory cortex , 2014, Proceedings of the National Academy of Sciences.
[34] P. Bandettini,et al. The effect of respiration variations on independent component analysis results of resting state functional connectivity , 2008, Human brain mapping.
[35] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[36] C. Julien. The enigma of Mayer waves: Facts and models. , 2006, Cardiovascular research.
[37] D. Delpy,et al. Optical pathlength measurements on adult head, calf and forearm and the head of the newborn infant using phase resolved optical spectroscopy. , 1995, Physics in medicine and biology.
[38] R. Fisher. FREQUENCY DISTRIBUTION OF THE VALUES OF THE CORRELATION COEFFIENTS IN SAMPLES FROM AN INDEFINITELY LARGE POPU;ATION , 1915 .
[39] Catie Chang,et al. Influence of heart rate on the BOLD signal: The cardiac response function , 2009, NeuroImage.
[40] J. Olden,et al. Cross-correlation bias in lag analysis of aquatic time series , 2001 .
[41] Steen Moeller,et al. Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.