Louis Gagnon

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. pmc Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 56:1362-71. 2011
  2. pmc Further improvement in reducing superficial contamination in NIRS using double short separation measurements
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA Harvard MIT Division of Health Sciences and Technology, Cambridge, MA, USA Electronic address
    Neuroimage 85:127-35. 2014
  3. pmc Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 59:3933-40. 2012
  4. pmc Short separation channel location impacts the performance of short channel regression in NIRS
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 59:2518-28. 2012
  5. pmc Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data
    Meryem A Yucel
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 61:1268-76. 2012
  6. pmc A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy
    Robert J Cooper
    Department of Radiology, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School Charlestown, MA, USA
    Front Neurosci 6:147. 2012
  7. pmc The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data
    R J Cooper
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 59:3128-38. 2012

Detail Information

Publications7

  1. pmc Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 56:1362-71. 2011
    ..05) in both HbO and HbR recovery using our Kalman filter dynamic estimator compared to the traditional adaptive filter, the static estimator and the standard GLM technique...
  2. pmc Further improvement in reducing superficial contamination in NIRS using double short separation measurements
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA Harvard MIT Division of Health Sciences and Technology, Cambridge, MA, USA Electronic address
    Neuroimage 85:127-35. 2014
    ..While the implementation of short separation sources presents some difficulties experimentally, the improvement in noise reduction is significant enough to justify the practical challenges. ..
  3. pmc Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 59:3933-40. 2012
    ..While different stimuli will result in different pial vein contributions, our finger tapping results do reveal the importance of considering the pial contribution...
  4. pmc Short separation channel location impacts the performance of short channel regression in NIRS
    Louis Gagnon
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 59:2518-28. 2012
    ..Using small separations located farther than 2 cm away resulted in mild or negligible improvements only...
  5. pmc Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data
    Meryem A Yucel
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 61:1268-76. 2012
    ..Our method yields an independent measurement of M, which provides an alternative measurement to validate the hypercapnic calibration of the BOLD signal...
  6. pmc A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy
    Robert J Cooper
    Department of Radiology, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School Charlestown, MA, USA
    Front Neurosci 6:147. 2012
    ..On the basis of this analysis, we recommend the routine application of motion correction techniques (particularly spline interpolation or wavelet analysis) to minimize the impact of motion artifacts on functional NIRS data...
  7. pmc The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data
    R J Cooper
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
    Neuroimage 59:3128-38. 2012
    ..The RETROICOR model did not provide a significant change in MSE. By each of the metrics calculated, NIRS recording is shown to be of significant benefit to the regression of low-frequency physiological noise from fMRI data...