Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)

Nikolaus Weiskopf; Klaus Mathiak; Simon W. Bock; Frank Scharnowski; Ralf Veit; Wolfgang Grodd; Rainer Goebel; Niels Birbaumer

doi:10.1109/TBME.2004.827063

Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)

Nikolaus Weiskopf, Klaus Mathiak, Simon W. Bock, Frank Scharnowski, Ralf Veit, Wolfgang Grodd, Rainer Goebel, Niels Birbaumer

Istituto di Neuroriabilitazione Motoria San Camillo

Research output: Contribution to journal › Article › peer-review

Abstract

A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.

Original language	English
Pages (from-to)	966-970
Number of pages	5
Journal	IEEE Transactions on Biomedical Engineering
Volume	51
Issue number	6
DOIs	https://doi.org/10.1109/TBME.2004.827063
Publication status	Published - Jun 2004

Keywords

Blood oxygen level-dependent
Brain-computer interface
Neurofeedback
Self-regulation

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/TBME.2004.827063

Fingerprint Dive into the research topics of 'Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)'. Together they form a unique fingerprint.

Cite this

Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). / Weiskopf, Nikolaus; Mathiak, Klaus; Bock, Simon W.; Scharnowski, Frank; Veit, Ralf; Grodd, Wolfgang; Goebel, Rainer; Birbaumer, Niels.

In: IEEE Transactions on Biomedical Engineering, Vol. 51, No. 6, 06.2004, p. 966-970.

Research output: Contribution to journal › Article › peer-review

@article{4fdeca77c19747ccb2747f5223dc3cd8,

title = "Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)",

abstract = "A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.",

keywords = "Blood oxygen level-dependent, Brain-computer interface, Neurofeedback, Self-regulation",

author = "Nikolaus Weiskopf and Klaus Mathiak and Bock, {Simon W.} and Frank Scharnowski and Ralf Veit and Wolfgang Grodd and Rainer Goebel and Niels Birbaumer",

year = "2004",

month = jun,

doi = "10.1109/TBME.2004.827063",

language = "English",

volume = "51",

pages = "966--970",

journal = "IEEE Transactions on Biomedical Engineering",

issn = "0018-9294",

publisher = "IEEE Computer Society",

number = "6",

}

TY - JOUR

T1 - Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)

AU - Weiskopf, Nikolaus

AU - Mathiak, Klaus

AU - Bock, Simon W.

AU - Scharnowski, Frank

AU - Veit, Ralf

AU - Grodd, Wolfgang

AU - Goebel, Rainer

AU - Birbaumer, Niels

PY - 2004/6

Y1 - 2004/6

N2 - A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.

AB - A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.

KW - Blood oxygen level-dependent

KW - Brain-computer interface

KW - Neurofeedback

KW - Self-regulation

UR - http://www.scopus.com/inward/record.url?scp=2442688033&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=2442688033&partnerID=8YFLogxK

U2 - 10.1109/TBME.2004.827063

DO - 10.1109/TBME.2004.827063

M3 - Article

C2 - 15188865

AN - SCOPUS:2442688033

VL - 51

SP - 966

EP - 970

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 6

ER -