EU H2020 Project "HRMEG (HRMEG: High-resolution magnetoencephalography: Towards non-invasive..)": description, partecipants, costs and EC-fundings

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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.

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

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

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

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.

Publications

List of publications.
year	authors and title	journal	last update
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 kÃ¤ytettÃ¤vÃ¤n kompensaatiokelaston magneettikenttien kartoitus ja mallinnus published pages: , ISSN: , DOI:	Bachelor\'s thesis	2019-09-23
2018	Paavo Hietala Reaaliaikaisen spektrin estimointimenetelmÃ¤n implementointi OPM-MEG-laitteistoon published pages: , ISSN: , DOI:	Bachelor\'s thesis	2019-09-23
2019	Joonas Iivanainen, Rasmus Zetter, Mikael GrÃ¶n, 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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