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HRMEG SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

Project "HRMEG" data sheet

The following table provides information about the project.

Coordinator
AALTO KORKEAKOULUSAATIO SR 

Organization address
address: OTAKAARI 1
city: ESPOO
postcode: 2150
website: http://www.aalto.fi/en/

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 https://www.aalto.fi/en/department-of-neuroscience-and-biomedical-engineering/hrmeg
 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

 Partnership

Take a look of project's partnership.

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

Map

 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.

 Publications

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
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
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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