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HRMEG: High-resolution magnetoencephalography: Towards non-invasive corticography

Total Cost €


EC-Contrib. €






 HRMEG project word cloud

Explore the words cloud of the HRMEG project. It provides you a very rough idea of what is the project "HRMEG" about.

improvement    none    whereas    spatial    recordings    ratio    substantial    single    oscillations    transcranial    leads    cortex    recover    usually    track    capturing    invasive    gamma    functional    patients    situations    signal    evoked    neuroimaging    meg    conventional    magnetic    works    characterization    fmri    electro    millisecond    combine    wealth    magnetometers    imaging    sensor    detect    amplitude    millimetres    proximity    additionally    sensors    lasting    cm    sustained    reflected    obtain    stimulation    detection    fold    magnetometry    eeg    health    construct    milliseconds    disease    brain    transient    largely    unprecedented    reciprocity    hrmeg    cortical    magnetoencephalography    excel    activations    scalp    time    precise    resolution    human    resonance    magnitude    demonstrated    prohibitively    noise    bursts    simulations    hz    distance    leveraging    tms    cerebral    cognitive    date    frequently    atomic    exceptional    tesla    characterizing    150    sensitivity    resolved    capitalize   

Project "HRMEG" data sheet

The following table provides information about the project.


Organization address
address: OTAKAARI 1
city: ESPOO
postcode: 2150

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Project website
 Total cost 1˙498˙806 €
 EC max contribution 1˙498˙806 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2021-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AALTO KORKEAKOULUSAATIO SR FI (ESPOO) coordinator 1˙498˙806.00


 Project objective

To date, neuroimaging has provided a wealth of information on how the human brain works in health and disease. With functional magnetic resonance imaging (fMRI), we can obtain spatially precise information about long-lasting brain activations whereas electro- and magnetoencephalography (EEG/MEG) can track transient cortical responses at millisecond resolution. However, none of these methods excel in time-resolved detection of sustained cortical activations, which are typically reflected as bursts of gamma-range (30–150 Hz) oscillations, frequently present in invasive recordings in patients. Although we have recently demonstrated that in exceptional situations MEG can detect even single gamma responses, their signal-to-noise ratio is usually prohibitively low, largely due to the substantial distance (4–5 cm) between cortex and sensors. Here, I propose to exploit recent advances in a novel magnetic sensor technology—atomic magnetometry—to construct a new kind of MEG system that allows capturing cerebral magnetic fields within millimetres from the scalp. Our simulations show that this proximity leads up to a 5-fold increase in the signal amplitude and an order-of-magnitude improvement of spatial resolution compared to conventional MEG. Therefore, a high-resolution MEG (HRMEG) system based on atomic magnetometers should enable non-invasive recordings of cortical activity at unprecedented sensitivity and detail level, which I propose to capitalize on by characterizing cortical responses, particularly gamma oscillations, during complex cognitive tasks. Additionally, since atomic magnetometers can recover within milliseconds from fields of several tesla, I also propose to combine transcranial magnetic stimulation (TMS) with MEG, leveraging the reciprocity of TMS and MEG and thus allowing better-than-ever characterization of TMS-evoked responses. This proposal comprises the research towards a HRMEG system and its application to study the working human brain in a new way.


year authors and title journal last update
List of publications.
2019 Joonas Iivanainen, Rasmus Zetter, Lauri Parkkonen
Potential of on-scalp MEG: Robust detection of human visual gamma-band responses
published pages: , ISSN: , DOI: 10.1101/602342
2018 Rasmus Zetter, Joonas Iivanainen, Matti Stenroos, Lauri Parkkonen
Requirements for Coregistration Accuracy in On-Scalp MEG
published pages: 931-948, ISSN: 0896-0267, DOI: 10.1007/s10548-018-0656-5
Brain Topography 31/6 2019-09-23
2018 Karoliina Hakkarainen
Magnetoenkefalografiaan käytettävän kompensaatiokelaston magneettikenttien kartoitus ja mallinnus
published pages: , ISSN: , DOI:
Bachelor\'s thesis 2019-09-23
2018 Paavo Hietala
Reaaliaikaisen spektrin estimointimenetelmän implementointi OPM-MEG-laitteistoon
published pages: , ISSN: , DOI:
Bachelor\'s thesis 2019-09-23
2019 Joonas Iivanainen, Rasmus Zetter, Mikael Grön, Karoliina Hakkarainen, Lauri Parkkonen
On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers
published pages: 244-258, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.03.022
NeuroImage 194 2019-09-23
2019 Rasmus Zetter, Joonas Iivanainen, Lauri Parkkonen
Optical Co-registration of MRI and On-scalp MEG
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-41763-4
Scientific Reports 9/1 2019-09-23
2018 Rasmus Zetter, Joonas Iivanainen, Matti Stenroos, Lauri Parkkonen
Requirements for Coregistration Accuracy in On-Scalp MEG
published pages: 931-948, ISSN: 0896-0267, DOI: 10.1007/s10548-018-0656-5
Brain Topography 31/6 2019-09-23

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