A critical assessment of data quality and venous effects in sub-millimeter fMRI
暂无分享,去创建一个
Kamil Ugurbil | Kendrick N. Kay | Ruyuan Zhang | Eshed Margalit | Keith W. Jamison | Luca Vizioli | K. Uğurbil | Kendrick Norris Kay | K. Jamison | L. Vizioli | Ruyuan Zhang | E. Margalit | Eshed Margalit
[1] Chris J. Martin. Contributions and complexities from the use of in vivo animal models to improve understanding of human neuroimaging signals , 2014, Front. Neurosci..
[2] Siegfried Trattnig,et al. A method for the dynamic correction of B0-related distortions in single-echo EPI at 7 T , 2016, NeuroImage.
[3] Stefan Pollmann,et al. The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7T , 2016, NeuroImage.
[4] Stephen C Cunnane,et al. The morphology of the human cerebrovascular system , 2018, Human brain mapping.
[5] Essa Yacoub,et al. High-field fMRI unveils orientation columns in humans , 2008, Proceedings of the National Academy of Sciences.
[6] Xu Wang,et al. Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas , 2015, NeuroImage.
[7] Essa Yacoub,et al. Mechanisms underlying decoding at 7 T: Ocular dominance columns, broad structures, and macroscopic blood vessels in V1 convey information on the stimulated eye , 2010, NeuroImage.
[8] Kawin Setsompop,et al. Pulse sequences and parallel imaging for high spatiotemporal resolution MRI at ultra-high field , 2017, NeuroImage.
[9] Bruce R. Rosen,et al. Ultra-Slow Single-Vessel BOLD and CBV-Based fMRI Spatiotemporal Dynamics and Their Correlation with Neuronal Intracellular Calcium Signals , 2018, Neuron.
[10] Steen Moeller,et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project , 2013, NeuroImage.
[11] Karl J. Friston,et al. Functional MRI , 1997 .
[12] M. Fukunaga,et al. Negative BOLD-fMRI Signals in Large Cerebral Veins , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[13] Roel H. R. Deckers,et al. Quantifying the spatial resolution of the gradient echo and spin echo BOLD response at 3 Tesla , 2005, Magnetic resonance in medicine.
[14] Arno Villringer,et al. High resolution atlasing of the venous brain vasculature from 7T quantitative susceptibility , 2018, bioRxiv.
[15] Steen Moeller,et al. Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project , 2017, NeuroImage.
[16] Dimo Ivanov,et al. Impact of acquisition and analysis strategies on cortical depth-dependent fMRI , 2017, NeuroImage.
[17] Kamil Ugurbil,et al. Magnetic Resonance Imaging at Ultrahigh Fields , 2014, IEEE Transactions on Biomedical Engineering.
[18] Benedikt A. Poser,et al. Multi-echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals , 2017, NeuroImage.
[19] Xiaoping Hu,et al. Potential pitfalls of functional MRI using conventional gradient‐recalled echo techniques , 1994, NMR in biomedicine.
[20] Klaus Scheffler,et al. Functional MRI in human subjects with gradient‐echo and spin‐echo EPI at 9.4 T , 2014, Magnetic resonance in medicine.
[21] Lars Muckli,et al. Laminar fMRI: Applications for cognitive neuroscience , 2017, NeuroImage.
[22] Rainer Goebel,et al. Measuring structural–functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment , 2012, NeuroImage.
[23] Hellmut Merkle,et al. Sensory and optogenetically driven single-vessel fMRI , 2016, Nature Methods.
[24] Essa Yacoub,et al. High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4 T , 2018, NeuroImage.
[25] 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.
[26] Russell A. Poldrack,et al. FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018 .
[27] Nikolaus Kriegeskorte,et al. Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .
[28] R. Goebel,et al. Frequency preference and attention effects across cortical depths in the human primary auditory cortex , 2015, Proceedings of the National Academy of Sciences.
[29] Jack L. Gallant,et al. Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI , 2015, Front. Neurosci..
[30] Nikos K Logothetis,et al. Laminar specificity in monkey V1 using high-resolution SE-fMRI. , 2006, Magnetic resonance imaging.
[31] Swarnodeep HomRoy. Impact of Acquisition on CEO Pay , 2012 .
[32] Wietske van der Zwaag,et al. Ultra-high field MRI: Advancing systems neuroscience towards mesoscopic human brain function , 2017, NeuroImage.
[33] Tobias Kober,et al. MP2RAGE, a self-bias field corrected sequence for improved segmentation at high field , 2008 .
[34] Roland N. Boubela,et al. fMRI measurements of amygdala activation are confounded by stimulus correlated signal fluctuation in nearby veins draining distant brain regions , 2015, Scientific Reports.
[35] Ravi S. Menon. The great brain versus vein debate , 2012, NeuroImage.
[36] Essa Yacoub,et al. The impact of ultra-high field MRI on cognitive and computational neuroimaging , 2017, NeuroImage.
[37] Jean Gotman,et al. Anatomically informed interpolation of fMRI data on the cortical surface , 2006, NeuroImage.
[38] Michael Eickenberg,et al. Seeing it all: Convolutional network layers map the function of the human visual system , 2017, NeuroImage.
[39] Markus Barth,et al. A cortical vascular model for examining the specificity of the laminar BOLD signal , 2016, NeuroImage.
[40] N. Ramsey,et al. Cortical Depth-Dependent Temporal Dynamics of the BOLD Response in the Human Brain , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[41] B. Wandell,et al. Mapping Hv4 and Ventral Occipital Cortex: the Venous Eclipse , 2022 .
[42] Gary F. Egan,et al. Combining images and anatomical knowledge to improve automated vein segmentation in MRI , 2017, NeuroImage.
[43] Anna Devor,et al. Quantifying the Microvascular Origin of BOLD-fMRI from First Principles with Two-Photon Microscopy and an Oxygen-Sensitive Nanoprobe , 2015, The Journal of Neuroscience.
[44] Natalia Petridou,et al. Laminar imaging of positive and negative BOLD in human visual cortex at 7T , 2018, NeuroImage.
[45] J. Winawer,et al. Linking Electrical Stimulation of Human Primary Visual Cortex, Size of Affected Cortical Area, Neuronal Responses, and Subjective Experience , 2016, Neuron.
[46] Jonathan Winawer,et al. GLMdenoise: a fast, automated technique for denoising task-based fMRI data , 2013, Front. Neurosci..
[47] Essa Yacoub,et al. Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns , 2017, Proceedings of the National Academy of Sciences.
[48] Essa Yacoub,et al. Pushing the spatio-temporal limits of MRI and fMRI , 2018, NeuroImage.
[49] D. Norris,et al. Layer‐specific BOLD activation in human V1 , 2010, Human brain mapping.
[50] Essa Yacoub,et al. Sub-millimeter T2 weighted fMRI at 7 T: comparison of 3D-GRASE and 2D SE-EPI , 2015, Front. Neurosci..
[51] P. Kara,et al. Neural correlates of single vessel hemodynamic responses in vivo , 2016, Nature.
[52] R. Kauppinen,et al. Venous blood effects in spin‐echo fMRI of human brain , 1999, Magnetic resonance in medicine.
[53] Kamil Ugurbil,et al. Imaging at ultrahigh magnetic fields: History, challenges, and solutions , 2017, NeuroImage.
[54] Jennifer M. D. Yoon,et al. Functionally Defined White Matter Reveals Segregated Pathways in Human Ventral Temporal Cortex Associated with Category-Specific Processing , 2015, Neuron.
[55] Jun Hua,et al. Implementation of vascular‐space‐occupancy MRI at 7T , 2013, Magnetic resonance in medicine.
[56] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[57] Liang Wang,et al. Probabilistic Maps of Visual Topography in Human Cortex. , 2015, Cerebral cortex.
[58] Sean M. Polyn,et al. Beyond mind-reading: multi-voxel pattern analysis of fMRI data , 2006, Trends in Cognitive Sciences.
[59] Katrin Amunts,et al. Defining the most probable location of the parahippocampal place area using cortex-based alignment and cross-validation , 2017, NeuroImage.
[60] Lawrence L. Wald,et al. Automatic cortical surface reconstruction of high-resolution T 1 echo planar imaging data , 2016, NeuroImage.
[61] Essa Yacoub,et al. Spatio-temporal point-spread function of fMRI signal in human gray matter at 7 Tesla , 2007, NeuroImage.
[62] Pierre-Louis Bazin,et al. Anatomically motivated modeling of cortical laminae , 2014, NeuroImage.
[63] Johan D. Carlin,et al. Adjudicating between face-coding models with individual-face fMRI responses , 2015, bioRxiv.
[64] Essa Yacoub,et al. Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field , 2018, NeuroImage.
[65] Spatial specificity of the functional MRI blood oxygenation response relative to neuronal activity , 2016 .
[66] Nikolaus Kriegeskorte,et al. How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex spatiotemporal filter? , 2010, NeuroImage.
[67] E. Haacke,et al. Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 1 , 2008, American Journal of Neuroradiology.
[68] R. Gruetter,et al. Mapping and characterization of positive and negative BOLD responses to visual stimulation in multiple brain regions at 7T , 2018, Human brain mapping.
[69] D. Tank,et al. 4 Tesla gradient recalled echo characteristics of photic stimulation‐induced signal changes in the human primary visual cortex , 1993 .
[70] G. Glover,et al. Retinotopic organization in human visual cortex and the spatial precision of functional MRI. , 1997, Cerebral cortex.
[71] Robert Turner,et al. How Much Cortex Can a Vein Drain? Downstream Dilution of Activation-Related Cerebral Blood Oxygenation Changes , 2002, NeuroImage.
[72] Wolfgang Bogner,et al. Key clinical benefits of neuroimaging at 7 T , 2016, NeuroImage.
[73] David J. Heeger,et al. The effect of large veins on spatial localization with GE BOLD at 3 T: Displacement, not blurring , 2007, NeuroImage.
[74] Lawrence L. Wald,et al. In vivo B0 field shimming methods for MRI at 7T , 2017, NeuroImage.
[75] E. Haacke,et al. Identification of vascular structures as a major source of signal contrast in high resolution 2D and 3D functional activation imaging of the motor cortex at l.5T preliminary results , 1993, Magnetic resonance in medicine.
[76] S. Ogawa,et al. Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields , 1990, Magnetic resonance in medicine.
[77] K. Uğurbil,et al. Layer-Specific fMRI Reflects Different Neuronal Computations at Different Depths in Human V1 , 2012, PloS one.
[78] Jean A. Tkach,et al. 2D and 3D high resolution gradient echo functional imaging of the brain: Venous contributions to signal in motor cortex studies , 1994, NMR in biomedicine.
[79] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[80] Laurentius Huber,et al. High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1 , 2017, Neuron.
[81] Kalanit Grill-Spector,et al. Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific , 2015, The Journal of Neuroscience.
[82] Jack L. Gallant,et al. Pycortex: an interactive surface visualizer for fMRI , 2015, Front. Neuroinform..
[83] PatternsTim Menzies,et al. Potential Pitfalls for , 1996 .
[84] Kâmil Uludag,et al. Linking brain vascular physiology to hemodynamic response in ultra-high field MRI , 2017, NeuroImage.
[85] Shahin Nasr,et al. Interdigitated Color- and Disparity-Selective Columns within Human Visual Cortical Areas V2 and V3 , 2016, The Journal of Neuroscience.
[86] Keiji Tanaka,et al. Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey , 2008, Neuron.
[87] Roberto Viviani,et al. A Digital Atlas of Middle to Large Brain Vessels and Their Relation to Cortical and Subcortical Structures , 2016, Front. Neuroanat..
[88] K. Uğurbil,et al. Microvascular BOLD contribution at 4 and 7 T in the human brain: Gradient‐echo and spin‐echo fMRI with suppression of blood effects , 2003, Magnetic resonance in medicine.
[89] B. Wandell,et al. Compressive spatial summation in human visual cortex. , 2013, Journal of neurophysiology.
[90] Brian K. Rutt,et al. Gradient and shim technologies for ultra high field MRI , 2016, NeuroImage.
[91] Lawrence L. Wald,et al. Laminar analysis of 7T BOLD using an imposed spatial activation pattern in human V1 , 2010, NeuroImage.
[92] P. Jezzard,et al. Correction for geometric distortion in echo planar images from B0 field variations , 1995, Magnetic resonance in medicine.
[93] Xiaojian Kang,et al. Improving the resolution of functional brain imaging: analyzing functional data in anatomical space. , 2007, Magnetic resonance imaging.
[94] Adrian T. Lee,et al. Discrimination of Large Venous Vessels in Time‐Course Spiral Blood‐Oxygen‐Level‐Dependent Magnetic‐Resonance Functional Neuroimaging , 1995, Magnetic resonance in medicine.
[95] Jeff H. Duyn,et al. Effects of spatial fMRI resolution on the classification of naturalistic movies , 2017, NeuroImage.
[96] Mark E. Ladd,et al. SAR Simulations & Safety , 2017, NeuroImage.
[97] Jonathan R. Polimeni,et al. Analysis strategies for high-resolution UHF-fMRI data , 2017, NeuroImage.
[98] Dimo Ivanov,et al. Cortical depth profiles of luminance contrast responses in human V1 and V2 using 7 T fMRI , 2018, Human brain mapping.
[99] R. Goebel,et al. Cortical Depth Dependent Functional Responses in Humans at 7T: Improved Specificity with 3D GRASE , 2013, PloS one.
[100] C. J. McGrath,et al. Effect of exchange rate return on volatility spill-over across trading regions , 2012 .
[101] Alex R. Wade,et al. Visual areas and spatial summation in human visual cortex , 2001, Vision Research.
[102] Denis Schluppeck,et al. 7 Tesla fMRI Reveals Systematic Functional Organization for Binocular Disparity in Dorsal Visual Cortex , 2015, The Journal of Neuroscience.
[103] Jeffrey M. Zacks,et al. Searchlight analysis: Promise, pitfalls, and potential , 2013, NeuroImage.
[104] Amir Shmuel,et al. Optimization of functional MRI for detection, decoding and high-resolution imaging of the response patterns of cortical columns , 2018, NeuroImage.
[105] Klaas E. Stephan,et al. A hemodynamic model for layered BOLD signals , 2016, NeuroImage.
[106] Kamil Ugurbil,et al. What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.
[107] Justin L. Gardner,et al. Is cortical vasculature functionally organized? , 2010, NeuroImage.