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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.

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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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