Breaking the Nonuniqueness Barrier in Electromagnetic Neuroimaging
Acronym
BREAKBEN
Description of the granted funding
By combining accurate magnetic measurements of neural activity with near-simultaneous high-definition measurements of cerebral structure – provided by novel methods in ultra-low-field magnetic resonance imaging (ULF MRI ) – we will be able to image the dynamics of human brain function at unprecedented resolution and reliability. BREAKBEN will achieve a revolution in neuroimaging; we aim at breaking the barrier for measurement of neuronal currents by ULF MRI (neural current imaging; NCI) as well as breaking the nonuniqueness barrier for magnetoencephalography (MEG) by combining it with ULF MRI and accurately presented a priori information. A key aspect in utilizing the a priori information is injected current density imaging (CDI), which will inform us about the individual conductivity structure of the head. Using novel verification and validation approaches, we will demonstrate the unique advantages of these multimodal techniques. These breakthroughs will result in completely different workflows in brain imaging, also suitable for clinical use. We believe that we are at the edge of a qualitative technology jump with ULF MRI, its applications and combinations. This will lead to a wealth of new applications and revolutionize the way we do magnetism-based measurements of the nervous system. Europe has the unique chance to lead this revolution.
Show moreStarting year
2016
End year
2019
Granted funding
ELEKTA OY
399 782.5 €
Participant
ELEKTA INSTRUMENT AB (SE)
13 952.5 €
Third party
TECHNISCHE UNIVERSITAET ILMENAU (DE)
442 871.25 €
Participant
PHYSIKALISCH-TECHNISCHE BUNDESANSTALT (DE)
779 268.75 €
Participant
UNIVERSITA DEGLI STUDI GABRIELE D'ANNUNZIO DI CHIETI-PESCARA (IT)
440 100 €
Participant
Amount granted
3 998 793 €
Funder
European Union
Funding instrument
Research and Innovation action
Framework programme
Horizon 2020 Framework Programme
Call
Programme part
EXCELLENT SCIENCE - Future and Emerging Technologies (FET) (5216 FET Open (5217 )
Topic
FET-Open research projects (FETOPEN-RIA-2014-2015Call ID
H2020-FETOPEN-2014-2015-RIA Other information
Funding decision number
686865
Identified topics
brain, neuroscience