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MindsEyeBCI

Reading the mind’s eye at 7 Tesla - A fMRI-based communication brain-computer interface for severely motor-impaired patients

Total Cost €

EC-Contrib. €

Partnership

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MindsEyeBCI project word cloud

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

observations ultra achievable time learning erc severely signal fmri quality cortical columns layers tune auto performing tests scanning discovered motor imagination decoding perform html news explore pioneered events patients rcn emmerling goals healthy deep clinical decoded stimulated ing letter neuroscience repetitions fine sub encoder al robustness magnetic brain visual en imagined first single shape millimeter communication 124885 imagery software experiments prototype tools interfaces merely settings online showing http impaired substantially columnarcodecracking reconstruct patterns shapes bcis tested neurofeedback bci poc performed idea et europa computer cordis networks prepare multiple reconstruction helps 2017 tesla seconds locked resolution

Project "MindsEyeBCI" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITEIT MAASTRICHT Organization address address: Minderbroedersberg 4-6 city: MAASTRICHT postcode: 6200 MD website: http://www.maastrichtuniversity.nl 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	Netherlands [NL]
Total cost	148˙530 €
EC max contribution	148˙530 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2017-PoC
Funding Scheme	ERC-POC
Starting year	2018
Duration (year-month-day)	from 2018-01-01 to 2019-06-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITEIT MAASTRICHT UNIVERSITEIT MAASTRICHT Organization address address: Minderbroedersberg 4-6 city: MAASTRICHT postcode: 6200 MD website: http://www.maastrichtuniversity.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (MAASTRICHT)	coordinator	148˙530.00

Map

Project objective

The Advanced ERC project ColumnarCodeCracking has pioneered ultra-high field fMRI at 7 Tesla for sub-millimeter neuroscience applications targeting cortical columns and cortical layers. One sub-project of the ERC project was to explore whether it is possible to build new brain computer interfaces (BCIs) exploiting the strong signal quality and higher resolution achievable at ultra-high magnetic fields. As part of our research (Emmerling et al., 2017, http://cordis.europa.eu/news/rcn/124885_en.html) we discovered that it is possible to reconstruct letter shapes from activity in early visual areas that are merely imagined by participants during 7 Tesla fMRI scanning. Importantly, we could demonstrate that imagined letter shapes can be decoded from single imagination events of about 10 seconds without the need to average across multiple repetitions. These observations stimulated the idea for this PoC application, namely to use letter imagery for the first time as a communication BCI. We also have tested deep learning auto-encoder networks as part of the analysis and observed that these tools substantially increase the robustness of letter reconstruction. The three major goals of this PoC are 1) to perform 7 Tesla fMRI experiments with healthy participants to evaluate whether decoding brain activity patterns during letter imagery can be performed robust enough to be used as a communication BCI for severely motor-impaired (locked-in) patients, 2) to develop a BCI/neurofeedback software performing all required advanced online analyses, and 3) evaluate whether showing the online decoded letter during imagery helps participants to fine-tune the resulting shape. While 7 Tesla fMRI is not yet widely available in clinical settings, we aim to prepare first tests of the developed prototype with locked-in patients.

Publications

List of publications.
year	authors and title	journal	last update
2019	Mario Senden, Thomas C. Emmerling, Rick van Hoof, Martin A. Frost, Rainer Goebel Reconstructing imagined letters from early visual cortex reveals tight topographic correspondence between visual mental imagery and perception published pages: 1167-1183, ISSN: 1863-2653, DOI: 10.1007/s00429-019-01828-6	Brain Structure and Function 224/3	2020-01-30

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The information about "MINDSEYEBCI" are provided by the European Opendata Portal: CORDIS opendata.

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