Impact of SQUIDs on functional imaging in neuroscience
暂无分享,去创建一个
[1] M. Hallett,et al. Identifying true brain interaction from EEG data using the imaginary part of coherency , 2004, Clinical Neurophysiology.
[2] John S George,et al. Simultaneous magnetoencephalography and SQUID detected nuclear MR in microtesla magnetic fields , 2004, Magnetic resonance in medicine.
[3] Matti Hämäläinen,et al. Multichannel SQUID systems for brain research , 1991 .
[4] R. McFee,et al. DETECTION OF THE MAGNETIC FIELD OF THE HEART. , 1963, American heart journal.
[5] C. Fermon,et al. RF Response of Superconducting-GMR Mixed Sensors, Application to NQR , 2007, IEEE Transactions on Applied Superconductivity.
[6] K. Abraham-Fuchs,et al. Experience with a multichannel system for biomagnetic study. , 1993, Physiological measurement.
[7] R J Ilmoniemi,et al. Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI. , 1999, Journal of neurophysiology.
[8] John Allen,et al. Microvascular imaging: techniques and opportunities for clinical physiological measurements , 2014, Physiological measurement.
[9] Abraham Z. Snyder,et al. Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure , 2013, NeuroImage.
[10] R D Pascual-Marqui,et al. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.
[11] L. Kaufman,et al. Somatically Evoked Magnetic Fields of the Human Brain , 1978, Science.
[12] R. Ilmoniemi,et al. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .
[13] E. Cassetta,et al. Tonotopic cortical changes following stapes substitution in otosclerotic patients: A magnetoencephalographic study , 2000, Human brain mapping.
[14] L. Kaufman,et al. Tonotopic organization of the human auditory cortex. , 1982, Science.
[15] Jari Penttilä,et al. Hybrid ultra‐low‐field MRI and magnetoencephalography system based on a commercial whole‐head neuromagnetometer , 2013, Magnetic resonance in medicine.
[16] J. Schoffelen,et al. Selective Movement Preparation Is Subserved by Selective Increases in Corticomuscular Gamma-Band Coherence , 2011, The Journal of Neuroscience.
[17] M. Kiviranta,et al. Effect of Voltage Bias on the dc SQUID Characteristics , 2001 .
[18] John Clarke,et al. SQUID-detected magnetic resonance imaging in microtesla fields. , 2007, Annual review of biomedical engineering.
[19] M A Espy,et al. Co-Registration of Interleaved MEG and ULF MRI Using a 7 Channel Low-$T_{\rm c}$ SQUID System , 2011, IEEE Transactions on Applied Superconductivity.
[20] A. Engel,et al. Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention , 2008, Neuron.
[21] Andrei Irimia,et al. Partial independence of bioelectric and biomagnetic fields and its implications for encephalography and cardiography. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] Martin Burghoff,et al. An advanced phantom study assessing the feasibility of neuronal current imaging by ultra-low-field NMR. , 2013, Journal of magnetic resonance.
[23] L. Parkkonen,et al. 122-channel squid instrument for investigating the magnetic signals from the human brain , 1993 .
[24] P Berg,et al. Multiple source analysis of interictal spikes: goals, requirements, and clinical value. , 1999, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[25] J. Mosher,et al. Multi-Channel SQUID System for MEG and Ultra-Low-Field MRI , 2006, IEEE transactions on applied superconductivity.
[26] K. Uğurbil,et al. Retinotopic mapping of lateral geniculate nucleus in humans using functional magnetic resonance imaging. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[27] Jeff H. Duyn,et al. Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography , 2010, NeuroImage.
[28] M. Raichle. The brain's dark energy. , 2010 .
[29] D. Cohen,et al. MAGNETOCARDIOGRAMS TAKEN INSIDE A SHIELDED ROOM WITH A SUPERCONDUCTING POINT‐CONTACT MAGNETOMETER , 1970 .
[30] Hui Xia,et al. Multi-channel atomic magnetometer for magnetoencephalography: A configuration study , 2014, NeuroImage.
[31] R. Llinás. The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function. , 1988, Science.
[32] J. Schoffelen,et al. Neuronal Coherence as a Mechanism of Effective Corticospinal Interaction , 2005, Science.
[33] Krish D. Singh,et al. A new approach to neuroimaging with magnetoencephalography , 2005, Human brain mapping.
[34] D. Cohen. Magnetoencephalography: Evidence of Magnetic Fields Produced by Alpha-Rhythm Currents , 1968, Science.
[35] J. Zimmerman,et al. Design and Operation of Stable rf‐Biased Superconducting Point‐Contact Quantum Devices, and a Note on the Properties of Perfectly Clean Metal Contacts , 1970 .
[36] M Reite,et al. Human magnetic auditory evoked fields. , 1978, Electroencephalography and clinical neurophysiology.
[37] M. Corbetta,et al. A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain , 2012, Neuron.
[38] G L Romani,et al. A frontoparietal network for spatial attention reorienting in the auditory domain: a human fMRI/MEG study of functional and temporal dynamics. , 2008, Cerebral cortex.
[39] M. Corbetta,et al. Large-scale cortical correlation structure of spontaneous oscillatory activity , 2012, Nature Neuroscience.
[40] R. Knight,et al. The functional role of cross-frequency coupling , 2010, Trends in Cognitive Sciences.
[41] Michael Hatridge,et al. Measurements of T1‐relaxation in ex vivo prostate tissue at 132 μT , 2012, Magnetic resonance in medicine.
[42] Martin Burghoff,et al. NMR at very low fields. , 2010, Magnetic resonance imaging.
[43] Jaakko O. Nieminen,et al. Suppressing Multi-Channel Ultra-Low-Field MRI Measurement Noise Using Data Consistency and Image Sparsity , 2013, PloS one.
[44] Jaakko O. Nieminen,et al. NMR Detection at 8.9 mT with a GMR Based Sensor Coupled to a Superconducting Nb Flux Transformer , 2013 .
[45] O. Jensen,et al. Cross-frequency coupling between neuronal oscillations , 2007, Trends in Cognitive Sciences.
[46] L. Deecke,et al. Magnetic fields of the human brain accompanying voluntary movement: Bereitschaftsmagnetfeld , 2004, Experimental Brain Research.
[47] A. A. Fife,et al. Whole cortex, 64 channel SQUID biomagnetometer system , 1993, IEEE Transactions on Applied Superconductivity.
[48] A. Matlashov,et al. SQUID-based systems for co-registration of ultra-low field nuclear magnetic resonance images and magnetoencephalography , 2012 .
[49] H. Berger. Über das Elektrenkephalogramm des Menschen , 1933, Archiv für Psychiatrie und Nervenkrankheiten.
[50] Leonid V. Kulik,et al. Nuclear spin relaxation in free radicals as revealed in a stimulated electron spin echo experiment , 2005 .
[51] G. Romani,et al. Magnetoencephalography - a noninvasive brain imaging method with 1 ms time resolution , 2001 .
[52] G. Buzsáki. Rhythms of the brain , 2006 .
[53] J. Sarvas. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.
[54] J. Schoffelen,et al. Source connectivity analysis with MEG and EEG , 2009, Human brain mapping.
[55] Riitta Salmelin,et al. Parietal epileptic mirror focus detected with a whole‐head neuromagnetometer , 1993, Neuroreport.
[56] T C Cosmus,et al. Advances in Whole-Body MRI Magnets , 2011, IEEE Transactions on Applied Superconductivity.
[57] C. Aine. Highlights of 40 Years of SQUID-Based Brain Research and Clinical Applications , 2010 .
[58] D. Tank,et al. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[59] B. Rockstroh,et al. Increased Cortical Representation of the Fingers of the Left Hand in String Players , 1995, Science.
[60] Guido Torrioli,et al. 28-channel hybrid system for neuromagnetic measurements , 1991 .
[61] Dietmar Drung,et al. Low‐noise high‐speed dc superconducting quantum interference device magnetometer with simplified feedback electronics , 1990 .
[62] A Martinez,et al. The UT 19-channel DC SQUID based neuromagnetometer. , 1991, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.
[63] Peter C. Hansen,et al. MEG. An introduction to methods , 2010 .
[64] D. Drung,et al. Integrated DC SQUID magnetometer with high dV/dB , 1991 .
[65] Darren Price,et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.
[66] Tao Zhang,et al. Novel technologies and configurations of superconducting magnets for MRI , 2013 .
[67] Matthew J. Brookes,et al. Measuring functional connectivity using MEG: Methodology and comparison with fcMRI , 2011, NeuroImage.
[68] E. Halgren,et al. Dynamic Statistical Parametric Mapping Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity , 2000, Neuron.
[69] Robert McDermott,et al. Microtesla MRI with a superconducting quantum interference device. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[70] Robert H Kraus,et al. Microtesla MRI of the human brain combined with MEG. , 2008, Journal of magnetic resonance.
[71] Leif Grönberg,et al. All-planar SQUIDs and pickup coils for combined MEG and MRI , 2011 .
[72] Michelle A. Espy,et al. Toward direct neural current imaging by resonant mechanisms at ultra-low field , 2008, NeuroImage.
[73] Matti S. Hämäläinen,et al. Lateralized parietotemporal oscillatory phase synchronization during auditory selective attention , 2014, NeuroImage.
[74] D. Cohen. Magnetoencephalography: Detection of the Brain's Electrical Activity with a Superconducting Magnetometer , 1972, Science.
[75] L. Kaufman,et al. Visually evoked magnetic fields of the human brain , 1975, Science.
[76] M. Mintun,et al. Brain work and brain imaging. , 2006, Annual review of neuroscience.
[77] A. N. Matlashov,et al. SQUID-based instrumentation for ultralow-field MRI , 2007 .
[78] C. Stam,et al. Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources , 2007, Human brain mapping.
[79] Juha Hassel,et al. Avoiding eddy-current problems in ultra-low-field MRI with self-shielded polarizing coils. , 2011, Journal of magnetic resonance.
[80] M. Hämäläinen,et al. Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data , 1989, IEEE Transactions on Biomedical Engineering.
[81] Michael Hatridge,et al. SQUID-detected microtesla MRI in the presence of metal. , 2006, Journal of magnetic resonance.
[82] Gabriel Curio,et al. On the feasibility of neurocurrent imaging by low-field nuclear magnetic resonance , 2010 .
[83] P. F. Liddle,et al. Task induced modulation of neural oscillations in electrophysiological brain networks , 2012, NeuroImage.
[84] P. Rossini,et al. Neuromagnetic functional coupling during dichotic listening of speech sounds , 2008, Human brain mapping.
[85] Mark W. Woolrich,et al. Adding dynamics to the Human Connectome Project with MEG , 2013, NeuroImage.
[86] Hamid Reza Mohseni,et al. Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations , 2014, NeuroImage.
[87] M. Corbetta,et al. Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.
[88] D. Barth,et al. Neuromagnetic localization of epileptiform spike activity in the human brain. , 1982, Science.
[89] Claudio Babiloni,et al. Nociceptive and non-nociceptive sub-regions in the human secondary somatosensory cortex: An MEG study using fMRI constraints , 2005, NeuroImage.
[90] Riitta Salmelin,et al. Magnetoencephalography: From SQUIDs to neuroscience Neuroimage 20th Anniversary Special Edition , 2012, NeuroImage.
[91] Alex I. Braginski,et al. The SQUID handbook , 2006 .
[92] K. Linkenkaer-Hansen,et al. Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws , 2013, Proceedings of the National Academy of Sciences.
[93] Viviana Betti,et al. Natural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain , 2013, Neuron.
[94] Claudio Babiloni,et al. Functional topography of the secondary somatosensory cortex for nonpainful and painful stimulation of median and tibial nerve: an fMRI study , 2004, NeuroImage.
[95] Steen Moeller,et al. The Human Connectome Project: A data acquisition perspective , 2012, NeuroImage.
[96] Claude Fermon,et al. Femtotesla Magnetic Field Measurement with Magnetoresistive Sensors , 2004, Science.
[97] R. Ilmoniemi,et al. Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.
[98] J. Clarke,et al. SQUID-Detected Magnetic Resonance Imaging in Microtesla Magnetic Fields , 2004 .
[99] W. Penny,et al. Reading Front to Back: MEG Evidence for Early Feedback Effects During Word Recognition , 2012, Cerebral cortex.
[100] R. Turner,et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[101] Kensuke Sekihara,et al. Conductive neuromagnetic fields in the lumbar spinal canal , 2012, Clinical Neurophysiology.
[102] Improved superconducting quantum interference device magnetometer for low cross talk operation , 2006 .
[103] Andreas A Ioannides,et al. Widely Distributed Magnetoencephalography Spikes Related to the Planning and Execution of Human Saccades , 2005, The Journal of Neuroscience.
[104] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[105] Lauri Parkkonen,et al. A 122-channel whole-cortex SQUID system for measuring the brain's magnetic fields , 1993 .
[106] M. Hatridge,et al. SQUID-detected in vivo MRI at microtesla magnetic fields , 2005, IEEE Transactions on Applied Superconductivity.
[107] Riitta Salmelin,et al. Neural processing of spoken words in specific language impairment and dyslexia. , 2009, Brain : a journal of neurology.
[108] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[109] Dietmar Drung,et al. dc Magnetoencephalography: Direct measurement in a magnetically extremely-well shielded room , 2004 .
[110] R. Hari,et al. Dynamics of brain activation during picture naming , 1994, Nature.
[111] Jan Kujala,et al. Neural interactions at the core of phonological and semantic priming of written words. , 2012, Cerebral cortex.