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An EEG-Driven Brain-Computer Interface Combined With Functional Magnetic Resonance Imaging (fMRI)

T. Hinterberger, N. Weiskopf, R. Veit, B. Wilhelm, E. Betta, N. Birbaumer
2004 IEEE Transactions on Biomedical Engineering  
To investigate the neurophysiological mechanisms of SCP regulation the TTD was combined with functional magnetic resonance imaging (fMRI).  ...  The thought translation device (TTD) is a brain-computer interface (BCI) that was developed for training and application of SCP self-regulation.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the technical support by Schwarzer, Munich, in the development of a real-time data interface for the TTD. They would like to thank W. Grodd and M.  ... 
doi:10.1109/tbme.2004.827069 pmid:15188866 fatcat:aktoqeklk5a2nhkv3r7ef7jm7y

Pitfalls in fMRI

Sven Haller, Andreas J. Bartsch
2009 European Radiology  
Several different techniques allow a functional assessment of neuronal activations by magnetic resonance imaging (fMRI).  ...  Consequently, the term 'fMRI' is often used synonymously with BOLD imaging.  ...  Acknowledgements We thank Georg Homola for assisting with data analyses and figure generations. Andreas Bartsch's work has been generously facilitated by the Vera and Volker Doppelfeld Foundation.  ... 
doi:10.1007/s00330-009-1456-9 pmid:19504107 fatcat:dnd7t5ite5dj3fjm7rlm4hi2dm

A Review of fMRI as a Tool for Enhancing Eeg-Based Brain-Machine Interfaces

Luis J. Barrios, Maria D. del Castillo, José I. Serrano, José L. Pons
2012 Applied Bionics and Biomechanics  
Starting from the current limitations hindering its extensive application outside the research laboratories, this paper reviews findings and prospects on functional magnetic resonance imaging showing how  ...  fMRI can help to overcome those limitations, while playing a key role on improving the development of brain-machine interfaces based on electroencephalography.  ...  . / fMRI as a tool for enhancing EEG-based brain-machine interfaces  ... 
doi:10.1155/2012/545182 fatcat:6kug4gwkjfcqfgbnjiru4vjokm

Fmri Sonification & Brain Activity Prediction [article]

Imanol Gómez Rubio, Rafael Ramírez
2013 Zenodo  
The study of human brain functions has dramatically increased greatly due to the advent of functional Magnetic Resonance Imaging (fMRI), arguably the best technique for observing human brain activity that  ...  The model was trained with acoustic features extracted from the auditory signals and the associated observed fMRI images. The obtained model is able to predict fMRI activation with high accuracy.  ...  We would like to thank Jessica Grahn for providing the fMRI data used in this paper.  ... 
doi:10.5281/zenodo.1161174 fatcat:xibit3dldrajxnfevo5mkgijke

Multi-band SWIFT enables quiet and artefact-free EEG-fMRI and awake fMRI studies in rat

Jaakko Paasonen, Hanne Laakso, Tiina Pirttimäki, Petteri Stenroos, Raimo A. Salo, Ekaterina Zhurakovskaya, Lauri J. Lehto, Heikki Tanila, Michael Garwood, Shalom Michaeli, Djaudat Idiyatullin, Silvia Mangia (+1 others)
2019 NeuroImage  
Functional magnetic resonance imaging (fMRI) studies in animal models provide invaluable information regarding normal and abnormal brain function, especially when combined with complementary stimulation  ...  An independent component analysis of the awake rat functional connectivity data obtained with MB-SWIFT resulted in near whole-brain level functional parcellation, and simultaneous electrophysiological  ...  Magnetic resonance imaging All MRI data were acquired in a high-field 9.4 T/31 cm bore magnet interfaced with an Agilent DirectDRIVE console (Palo Alto, CA, USA) using a custom-made (either in-house made  ... 
doi:10.1016/j.neuroimage.2019.116338 pmid:31730923 pmcid:PMC7008094 fatcat:tuf5yve2efdyjnkpubqrvxtc5q

Real-Time fMRI

Andrea Caria, Ranganatha Sitaram, Niels Birbaumer
2011 The Neuroscientist  
Declaration of Conflicting Interests The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.  ...  Innovations in high-performance magnetic resonance scanners and computers and developments in techniques for faster acquisition, processing, and analysis of MR images have now allowed us to perform real-time  ...  Spatially circumscribed brain activity is measured by fMRI using the BOLD response with fast echo planar imaging (EPI) sequences.  ... 
doi:10.1177/1073858411407205 pmid:21652587 fatcat:d3vb7elkh5f3thoa42tyzpa4qe

From Biomedical Signal Processing Techniques to fMRI Parcellation

Hadeel Kassim AL-Jobouri, Ilyas Cankaya, Omer Karal
2015 Biosciences Biotechnology Research Asia  
For example, this technique is commonly used for the analysis of functional Magnetic Resonance Imaging (fMRI) which can be applied to identify technical and physiological artifacts in fMRI.  ...  to brain images.  ...  For example, this technique is commonly used with functional Magnetic Resonance Imaging (fMRI) analysis which can be applied to identify technical and physiological artifacts in fMRI.  ... 
doi:10.13005/bbra/1764 fatcat:xfil7njzxvdq7g4pfkq4v24f6i

Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI [article]

Jesse A. Livezey, Joshua I. Glaser
2020 arXiv   pre-print
Decoding behavior, perception, or cognitive state directly from neural signals has applications in brain-computer interface research as well as implications for systems neuroscience.  ...  for complex decoding targets like acoustic speech or images.  ...  Magnetoencephalography (MEG), functional near infrared spectroscopy (fNIRS ), and functional magnetic resonance imaging (fMRI ) are also noninvasive recording modalities which are most often used in human  ... 
arXiv:2005.09687v1 fatcat:grboww5ptvah5npbl3xeehbady

Decoding fMRI brain states in real-time

Stephen M. LaConte
2011 NeuroImage  
magnetic resonance imaging (rtfMRI).  ...  The decoded brain states can be used as a control signal for a brain computer interface (BCI) or to provide neurofeedback to the subject.  ...  Thanks to Robert Cox, Ziad Saad, and Richard Reynolds for input and help with 3dsvm and discussions of rtfMRI configurations.  ... 
doi:10.1016/j.neuroimage.2010.06.052 pmid:20600972 fatcat:lfendwnttze5xd5z2wp5cgoiui

Methodology for tDCS integration with fMRI [article]

Zeinab Esmaeilpour, A. Duke Shereen, Peyman Ghobadi-Azari, Abhishek Datta, Adam J Woods, Maria Ironside, Jacinta O'Shea, Ulrich Kirk, Marom Bikson, Hamed Ekhtiari
2019 biorxiv/medrxiv   pre-print
We further outline how computational models of current flow should be combined with imaging data to understand sources of variability in responsiveness.  ...  during specific tasks; and act as an outcome measure of functional response to tDCS.  ...  Magnetic resonance imaging (MRI) supports noninvasive imaging of brain structure and function.  ... 
doi:10.1101/19006288 fatcat:ldxanoquqjggnf7osgfhgcrs6u

A Review of EEG and fMRI Measuring Aesthetic Processing in Visual User Experience Research

Zhepeng Rui, Zhenyu Gu, Jianli Liu
2021 Computational Intelligence and Neuroscience  
The purpose of our study analyzes the use of brain-computer interface (BCI), wearable technology, and functional magnetic resonance imaging (fMRI) to explore the aesthetic processing of visual neural response  ...  In human-computer interaction, the visual interaction of user experience (UX) and user interface (UI) plays an important role in enriching the quality of daily life.  ...  Influences implicit and explicit evaluations of aesthetic perceptions. fMRI, functional magnetic resonance imaging; BCI, brain-computer interface; UX, user experience; UI, user interface.  ... 
doi:10.1155/2021/2070209 pmid:34956344 pmcid:PMC8702354 fatcat:xy26dxa4anbsxggbbc5opjyi7e

fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey

Bing Du, Xiaomu Cheng, Yiping Duan, Huansheng Ning
2022 Brain Sciences  
resonance imaging (fMRI).  ...  Brain neural activity decoding is an important branch of neuroscience research and a key technology for the braincomputer interface (BCI).  ...  Finally, potential solutions are proposed for the problems existing in the current brain activity decoding models. Functional magnetic resonance imaging (fMRI) is a new neuroimaging method.  ... 
doi:10.3390/brainsci12020228 pmid:35203991 pmcid:PMC8869956 fatcat:t664eccq6nh5plnvhac2r2gcpa

fMRI functional networks for EEG source imaging

Xu Lei, Peng Xu, Cheng Luo, Jinping Zhao, Dong Zhou, Dezhong Yao
2010 Human Brain Mapping  
We propose a new method for examining TCNs using scalp EEG in conjunction with data obtained by functional magnetic resonance imaging (fMRI).  ...  NESOI achieves an efficient integration of the high temporal resolution EEG and TCN derived from the high spatial resolution fMRI.  ...  INTRODUCTION Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are complementary imaging techniques, due to their respective strengths and weaknesses in terms of spatial and  ... 
doi:10.1002/hbm.21098 pmid:20814964 fatcat:sxu3wkxwkbaoldqx3drekwdlli

Auditory neuroimaging with fMRI and PET

Thomas M. Talavage, Javier Gonzalez-Castillo, Sophie K. Scott
2014 Hearing Research  
Beginning with investigations using positron emission tomography (PET) and gradually shifting primarily to usage of functional magnetic resonance imaging (fMRI), auditory neuroimaging has greatly advanced  ...  brain.  ...  Functional Magnetic Resonance Imaging (fMRI) During the past two decades, a shift has taken place in functional imaging, largely away from PET to fMRI.  ... 
doi:10.1016/j.heares.2013.09.009 pmid:24076424 pmcid:PMC3893048 fatcat:7rn7kuefhba2ravq6he5tyblx4

Neurofeedback with fMRI: A critical systematic review

Robert T. Thibault, Amanda MacPherson, Michael Lifshitz, Raquel R. Roth, Amir Raz
2018 NeuroImage  
23 Neurofeedback relying on functional magnetic resonance imaging (fMRI-nf) heralds new 24 prospects for self-regulating brain and behavior.  ...  We then 95 performed the additional search query: rtfMRI OR ("real-time" OR "real time") AND (fMRI OR 96 "functional magnetic resonance imag*" OR "functional MRI") across All Databases and all 97 years  ...  Principles of a brain-computer interface (BCI) based on real-time functional 1429 magnetic resonance imaging (fMRI).  ... 
doi:10.1016/j.neuroimage.2017.12.071 pmid:29288868 fatcat:pqd323lom5h5nnzhrr2wlq7jey
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