Risto J Ilmoniemi

Summary

Affiliation: Helsinki University of Technology
Country: Finland

Publications

  1. pmc Methodology for combined TMS and EEG
    Risto J Ilmoniemi
    Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, Finland
    Brain Topogr 22:233-48. 2010
  2. doi request reprint Hybrid ultra-low-field MRI and magnetoencephalography system based on a commercial whole-head neuromagnetometer
    Panu T Vesanen
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Espoo, Finland
    Magn Reson Med 69:1795-804. 2013
  3. doi request reprint The effect of stimulus parameters on TMS-EEG muscle artifacts
    Tuomas Mutanen
    Department of Biomedical Engineering and Computational Science, Aalto University, PO BOX 12200, FI 00076 Aalto, Espoo, Finland
    Brain Stimul 6:371-6. 2013
  4. doi request reprint Improved determination of FID signal parameters in low-field NMR
    Juhani Dabek
    Aalto University, Department of Biomedical Engineering and Computational Science, P O Box 12200, FI 00076 Aalto, Finland
    J Magn Reson 205:148-60. 2010
  5. doi request reprint Avoiding eddy-current problems in ultra-low-field MRI with self-shielded polarizing coils
    Jaakko O Nieminen
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, P O Box 12200, FI 00076 Aalto, Finland
    J Magn Reson 212:154-60. 2011
  6. doi request reprint Gradient-excitation encoding combined with frequency and phase encodings for three-dimensional ultra-low-field MRI
    Juhani Dabek
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Aalto, Finland
    Conf Proc IEEE Eng Med Biol Soc 2012:1093-7. 2012
  7. doi request reprint SQUID-sensor-based ultra-low-field MRI calibration with phantom images: towards quantitative imaging
    Juhani Dabek
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Aalto, Finland
    J Magn Reson 224:22-31. 2012
  8. doi request reprint Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis
    Reeta J Korhonen
    Department of Biomedical Engineering and Computational Science, Aalto University, Aalto, PO BOX 12200, 00076 Espoo, Finland
    Med Biol Eng Comput 49:397-407. 2011
  9. doi request reprint Accelerometer-based method for correcting signal baseline changes caused by motion artifacts in medical near-infrared spectroscopy
    Jaakko Virtanen
    Aalto University School of Science, Department of Biomedical Engineering and Computational Science, P O Box 12200, FI 00076 Aalto, Finland
    J Biomed Opt 16:087005. 2011
  10. pmc Magnetic-stimulation-related physiological artifacts in hemodynamic near-infrared spectroscopy signals
    Tiina Näsi
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Espoo, Finland
    PLoS ONE 6:e24002. 2011

Collaborators

Detail Information

Publications14

  1. pmc Methodology for combined TMS and EEG
    Risto J Ilmoniemi
    Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, Finland
    Brain Topogr 22:233-48. 2010
    ..Several studies have shown the power of TMS-EEG by giving us valuable information about the excitability or connectivity of the brain...
  2. doi request reprint Hybrid ultra-low-field MRI and magnetoencephalography system based on a commercial whole-head neuromagnetometer
    Panu T Vesanen
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Espoo, Finland
    Magn Reson Med 69:1795-804. 2013
    ..The performance of the device is demonstrated by presenting ultra-low-field-MR images and MEG recordings that are compared with data obtained with a 3T scanner and a commercial MEG device...
  3. doi request reprint The effect of stimulus parameters on TMS-EEG muscle artifacts
    Tuomas Mutanen
    Department of Biomedical Engineering and Computational Science, Aalto University, PO BOX 12200, FI 00076 Aalto, Espoo, Finland
    Brain Stimul 6:371-6. 2013
    ..When transcranial magnetic stimulation (TMS) is delivered close to the lateral aspects of the head, large-amplitude (~10-1000 μV) biphasic electroencephalographic (EEG) deflections, peaking at around 4-10 and 8-20 ms, appear...
  4. doi request reprint Improved determination of FID signal parameters in low-field NMR
    Juhani Dabek
    Aalto University, Department of Biomedical Engineering and Computational Science, P O Box 12200, FI 00076 Aalto, Finland
    J Magn Reson 205:148-60. 2010
    ..In the measurements of this work, however, the narrow line width led to establishing a more applicable method which is based on the exponential decay of the Lorentz peak with a temporally moving power spectrum window...
  5. doi request reprint Avoiding eddy-current problems in ultra-low-field MRI with self-shielded polarizing coils
    Jaakko O Nieminen
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, P O Box 12200, FI 00076 Aalto, Finland
    J Magn Reson 212:154-60. 2011
    ..With the presented shielding technique, ULF-MRI devices can utilize stronger and spatially broader polarizing fields than achievable with unshielded polarizing coils...
  6. doi request reprint Gradient-excitation encoding combined with frequency and phase encodings for three-dimensional ultra-low-field MRI
    Juhani Dabek
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Aalto, Finland
    Conf Proc IEEE Eng Med Biol Soc 2012:1093-7. 2012
    ..The feasibility of image reconstruction with the gradient-excitation-encoding method is demonstrated by simulations...
  7. doi request reprint SQUID-sensor-based ultra-low-field MRI calibration with phantom images: towards quantitative imaging
    Juhani Dabek
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Aalto, Finland
    J Magn Reson 224:22-31. 2012
    ..The necessary theory is provided here with experimental verification. The calibration procedure opens the possibility of performing quantitative ULF MRI without sample-specific reference scans...
  8. doi request reprint Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis
    Reeta J Korhonen
    Department of Biomedical Engineering and Computational Science, Aalto University, Aalto, PO BOX 12200, 00076 Espoo, Finland
    Med Biol Eng Comput 49:397-407. 2011
    ..The methods described here can remove those muscle artifacts, allowing one to study lateral areas of the human brain, e.g., BA, with TMS-EEG...
  9. doi request reprint Accelerometer-based method for correcting signal baseline changes caused by motion artifacts in medical near-infrared spectroscopy
    Jaakko Virtanen
    Aalto University School of Science, Department of Biomedical Engineering and Computational Science, P O Box 12200, FI 00076 Aalto, Finland
    J Biomed Opt 16:087005. 2011
    ..Thus, using an accelerometer improves BMA detection accuracy in NIRS...
  10. pmc Magnetic-stimulation-related physiological artifacts in hemodynamic near-infrared spectroscopy signals
    Tiina Näsi
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Espoo, Finland
    PLoS ONE 6:e24002. 2011
    ..Thus, studies involving TMS-evoked NIRS responses should be carefully controlled for physiological artifacts and effective artifact removal methods are needed to draw inferences about TMS-evoked brain activity...
  11. pmc Spontaneous hemodynamic oscillations during human sleep and sleep stage transitions characterized with near-infrared spectroscopy
    Tiina Näsi
    Department of Biomedical Engineering and Computational Science, Aalto University, Aalto, Espoo, Finland
    PLoS ONE 6:e25415. 2011
    ..The results suggest that scalp hemodynamic changes should be considered alongside cortical hemodynamic changes in NIRS sleep studies to assess the interaction between the autonomic and central nervous systems...
  12. doi request reprint EEG oscillations and magnetically evoked motor potentials reflect motor system excitability in overlapping neuronal populations
    Hanna Mäki
    Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, Espoo, Finland
    Clin Neurophysiol 121:492-501. 2010
    ..To understand the relationship between neuronal excitability reflected by transcranial magnetic stimulation (TMS) evoked motor potentials (MEPs) and spontaneous oscillation amplitude and phase...
  13. pmc TMS-evoked changes in brain-state dynamics quantified by using EEG data
    Tuomas Mutanen
    Department of Biomedical Engineering and Computational Science, Aalto University School of Science Espoo, Finland BioMag Laboratory, HUSLAB, Helsinki University Central Hospital Helsinki, Finland
    Front Hum Neurosci 7:155. 2013
    ..This indicates that the TMS-modulated brain state differs from the spontaneous one. Moreover, the TMS-modulated activity is more vigorous than the natural activity...
  14. doi request reprint Solving the problem of concomitant gradients in ultra-low-field MRI
    Jaakko O Nieminen
    Aalto University, Department of Biomedical Engineering and Computational Science, P O Box 12200, FI 00076 Aalto, Finland
    J Magn Reson 207:213-9. 2010
    ..With simulations, we show how the reconstruction errors of the methods depend on the strengths of the concomitant gradients. The proposed approach produces nearly distortion-free images even when the main field reaches zero...