Risto J Ilmoniemi

PhD
Aalto University · Department of Communications and Networking

Topics (19) View all

Skills (5)

Research experience

    • Jan 2013
      Research: Louisiana Tech University
      Louisiana Tech University
      Ruston · USA
    • Jan 1996–
      Dec 2013
      Research: Helsinki University Central Hospital
      Helsinki University Central Hospital · BioMag Laboratory
      Helsinki · Finland
    • Jan 2012
      Research: National Taiwan University
      National Taiwan University
      Taipei · Taiwan
    • Jan 2009–
      Dec 2012
      Research: Aalto University
      Aalto University · Department of Biomedical Engineering and Computational Science
      Helsinki · Finland
    • Jan 2011
      Research: Istituto Superiore di Sanità
      Istituto Superiore di Sanità · Department of Technology and Health
      Roma · Italy
    • Jan 2004–
      Dec 2011
      Research: University of Zagreb
      University of Zagreb · Department of Physics (FKIT)
      Zagreb · Croatia
    • Jan 1993–
      Dec 2010
      Research: University of Helsinki
      University of Helsinki · Department of Psychology, Cognitive Brain Research Unit
      Helsinki · Finland
    • Jan 2006
      Research: Alimetrics Ltd, Espoo, Finland
      Alimetrics Ltd, Espoo, Finland
      Helsinki · Finland
    • Jan 2003–
      Dec 2005
      Research: University of Cambridge
      University of Cambridge · MRC Cognition and Brain Sciences Unit
      Cambridge · United Kingdom
    • Jan 2004
      Research: BM-Science - Brain & Mind Technologies Research Centre
      BM-Science - Brain & Mind Technologies Research Centre
      Espoo · Finland
    • Jan 2003
      Research: MRC Cognition and Brain Sciences Unit
      MRC Cognition and Brain Sciences Unit
      Cambridge · United Kingdom
    • Jan 2001
      Research: Universität zu Lübeck
      Universität zu Lübeck · Institut für Physiologie
      Lübeck · Germany
    • Jan 2000
      Research: Community Health Center, Connecticut
      Community Health Center, Connecticut
      Middletown · USA
    • Jan 2000
      Research: Yale University
      Yale University · Department of Psychiatry
      New Haven · USA
    • Jan 2000
      Research: Minerva Foundation Institute for Medical Research
      Minerva Foundation Institute for Medical Research
      Helsinki · Finland
    • Jan 1999
      Research: Albert Einstein College of Medicine
      Albert Einstein College of Medicine
      New York City · USA
    • Jan 1998–
      Dec 1999
      Research: Hungarian Academy of Sciences
      Hungarian Academy of Sciences
      Budapest · Hungary
    • Jan 1998
      Research: Niuvanniemi Hospital
      Niuvanniemi Hospital
      Kuopio · Finland
  • Jan 2012–
    present
    Research: Academy professorship
    Aalto University · BECS
    Finland · Espoo

Education

  • Jun 1981–
    Aug 1985
    Helsinki University of Technology (now Aalto University)
    Applied physics · Ph.D.
    Finland · Espoo

Other

Questions and Answers (1) View all

  • Answer added in Neuroscience
    204 What is the next paradigm shift in respect to neuroscience?
    By Darrin Munnerlyn · New School University
    Risto Ilmoniemi · Aalto University
    Thanks Hal; I agree. As was pointed out earlier in this chain, theory is needed. In addition to theory and simulations of complex networks, I think we... [more]

Publications (232) View all

  • Article: Efficient concomitant and remanence field artifact reduction in ultra-low-field MRI using a frequency-space formulation.
    [show abstract] [hide abstract]
    ABSTRACT: PURPOSE: For ultra-low-field MRI, the spatial-encoding magnetic fields generated by gradient coils can have strong concomitant fields leading to prominent image distortion. Additionally, using superconducting magnet to pre-polarize magnetization can improve the signal-to-noise ratio of ultra-low-field MRI. Yet the spatially inhomogeneous remanence field due to the permanently trapped flux inside a superconducting pre-polarizing coil modulates magnetization and causes further image distortion. METHOD: We propose a two-stage frequency-space (f-x) formulation to accurately describe the dynamics of spatially-encoded magnetization under the influence of concomitant and remanence fields, which allows for correcting image distortion due to concomitant and remanence fields. RESULTS: Our method is computationally efficient as it uses a combination of the fast Fourier transform algorithm and a linear equation solver. With sufficiently dense discretization in solving the linear equation, the performance of this f-x method was found to be stable among different choices of the regularization parameter and the regularization matrix. CONCLUSION: We present this method together with numerical simulations and experimental data to demonstrate how concomitant and remanence field artifacts in ultra-low-field MRI can be corrected efficiently. Magn Reson Med, 2013. © 2013 Wiley Periodicals, Inc.
    Magnetic Resonance in Medicine 05/2013; · 2.96 Impact Factor
  • Source
    Article: Effect of task-related extracerebral circulation on diffuse optical tomography: experimental data and simulations on the forehead.
    [show abstract] [hide abstract]
    ABSTRACT: The effect of task-related extracerebral circulatory changes on diffuse optical tomography (DOT) of brain activation was evaluated using experimental data from 14 healthy human subjects and computer simulations. Total hemoglobin responses to weekday-recitation, verbal-fluency, and hand-motor tasks were measured with a high-density optode grid placed on the forehead. The tasks caused varying levels of mental and physical stress, eliciting extracerebral circulatory changes that the reconstruction algorithm was unable to fully distinguish from cerebral hemodynamic changes, resulting in artifacts in the brain activation images. Crosstalk between intra- and extracranial layers was confirmed by the simulations. The extracerebral effects were attenuated by superficial signal regression and depended to some extent on the heart rate, thus allowing identification of hemodynamic changes related to brain activation during the verbal-fluency task. During the hand-motor task, the extracerebral component was stronger, making the separation less clear. DOT provides a tool for distinguishing extracerebral components from signals of cerebral origin. Especially in the case of strong task-related extracerebral circulatory changes, however, sophisticated reconstruction methods are needed to eliminate crosstalk artifacts.
    Biomedical Optics Express 03/2013; 4(3):412-26. · 2.33 Impact Factor
  • Article: TMS-evoked changes in brain-state dynamics quantified by using EEG data.
    Tuomas Mutanen, Jaakko O Nieminen, Risto J Ilmoniemi
    [show abstract] [hide abstract]
    ABSTRACT: To improve our understanding of the combined transcranial magnetic stimulation (TMS) and electroencephalography (EEG) method in general, it is important to study how the dynamics of the TMS-modulated brain activity differs from the dynamics of spontaneous activity. In this paper, we introduce two quantitative measures based on EEG data, called mean state shift (MSS) and state variance (SV), for evaluating the TMS-evoked changes in the brain-state dynamics. MSS quantifies the immediate TMS-elicited change in the brain state, whereas SV shows whether the rate at which the brain state changes is modulated by TMS. We report a statistically significant increase for a period of 100-200 ms after the TMS pulse in both MSS and SV at the group level. 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.
    Frontiers in Human Neuroscience 01/2013; 7:155. · 2.34 Impact Factor
  • Source
    Article: Suppressing multi-channel ultra-low-field MRI measurement noise using data consistency and image sparsity.
    [show abstract] [hide abstract]
    ABSTRACT: Ultra-low-field (ULF) MRI (B 0 = 10-100 µT) typically suffers from a low signal-to-noise ratio (SNR). While SNR can be improved by pre-polarization and signal detection using highly sensitive superconducting quantum interference device (SQUID) sensors, we propose to use the inter-dependency of the k-space data from highly parallel detection with up to tens of sensors readily available in the ULF MRI in order to suppress the noise. Furthermore, the prior information that an image can be sparsely represented can be integrated with this data consistency constraint to further improve the SNR. Simulations and experimental data using 47 SQUID sensors demonstrate the effectiveness of this data consistency constraint and sparsity prior in ULF-MRI reconstruction.
    PLoS ONE 01/2013; 8(4):e61652. · 4.09 Impact Factor
  • Source
    Article: Noise Amplification in Parallel Whole-Head Ultra-Low-Field Magnetic Resonance Imaging Using 306 Detectors
    Magnetic Resonance in Medicine 09/2012; · 2.96 Impact Factor

About

I try to develop ways to measure, understand, and influence the brain—and try to help others to do the same. In 1980's, I built new kinds of MEG devices and developed solutions to the forward and inverse problems of MEG/EEG. In 1990's, I developed navigated TMS and TMS-EEG; I founded Nexstim in 2000 to commercialize our TMS technology. In 2008-12, I led the EU project MEGMRI where hybrid MEG-MRI was developed. My ambition is to understand the physics of the brain and mind, guided by logic.

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