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An Unified Approach for fMRI-Measurements Used by a New Real-Time fMRI Analysis System [chapter]

Maurice Hollmann, Tobias Moench, Claus Tempelmann, Johannes Bernarding
Bildverarbeitung für die Medizin 2007  
This approach is used to control two modules: a realtime fMRI application which extracts the current activation, and an analysis-system which evaluates the current brain activation to influence the stimulus  ...  Here, an approach is developed which helps to overcome those difficulties by utilising a uniform parameter management using a flexible parameter description that can be used simultaneously by different  ...  The whole system is able to perform a fast and unified analysis and classification of real-time fMRI-data.  ... 
doi:10.1007/978-3-540-71091-2_12 dblp:conf/bildmed/HollmannMTB07 fatcat:lz4kweh4vbgm5dqbf65gscvjre

Flexible Adaptive Paradigms for fMRI Using a Novel Software Package 'Brain Analysis in Real-Time' (BART)

Lydia Hellrung, Maurice Hollmann, Oliver Zscheyge, Torsten Schlumm, Christian Kalberlah, Elisabeth Roggenhofer, Hadas Okon-Singer, Arno Villringer, Annette Horstmann, Natasha M. Maurits
2015 PLoS ONE  
In this work we present a new open source software package offering a unified framework for the real-time adaptation of fMRI stimulation procedures.  ...  To prove the concept of this approach, we used our software in a usability example for an fMRI experiment where the presentation of emotional pictures was dependent on the subject's gaze position.  ...  Contributed reagents/materials/analysis tools: LH TS OZ. Wrote the paper: LH.  ... 
doi:10.1371/journal.pone.0118890 pmid:25837719 pmcid:PMC4383593 fatcat:msfqyh6izfhaloripbohpxpf5a

Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression [chapter]

Yongmei Michelle Wang, Robert T. Schultz, R. Todd Constable, Lawrence H. Staib
2003 Lecture Notes in Computer Science  
This paper presents a new and general nonlinear framework for fMRI data analysis based on statistical learning methodology: support vector machines.  ...  Unlike most current methods which assume a linear model for simplicity, the estimation and analysis of fMRI signal within the proposed framework is nonlinear, which matches recent findings on the dynamics  ...  Acknowledgments This work was partially supported by NIH grant EB000311. The authors would like to thank the anonymous reviewers for comments that considerably improved the quality of this paper.  ... 
doi:10.1007/978-3-540-45087-0_54 fatcat:tr6odfymdrelbpfc76jusfpuue

Probabilistic Framework for Brain Connectivity From Functional MR Images

J.C. Rajapakse, Yang Wang, Xuebin Zheng, Juan Zhou
2008 IEEE Transactions on Medical Imaging  
Experimental results show that the present approach outperforms earlier fMRI analysis techniques on synthetic functional images and robustly derives brain connectivity from real fMRI data.  ...  This paper unifies our earlier work on detection of brain activation (Rajapakse and Piyaratna, 2001) and connectivity (Rajapakse and Zhou, 2007) in a probabilistic framework for analyzing effective connectivity  ...  ACKNOWLEDGMENT The authors would like to thank anonymous reviewers for their constructed comments which improved the quality of this manuscript.  ... 
doi:10.1109/tmi.2008.915672 pmid:18541489 fatcat:mqktvzv4ifaurijq4k3qmk2mwq

Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks

Sergio Ruiz, Korhan Buyukturkoglu, Mohit Rana, Niels Birbaumer, Ranganatha Sitaram
2014 Biological Psychology  
With the advent of brain computer interfaces based on real-time fMRI (rtfMRI-BCI), the possibility of performing neurofeedback based on brain hemodynamics has become a reality.  ...  However, based on the understanding that the brain functions by coordinated activity of spatially distributed regions, there have recently been further developments to incorporate real-time feedback of  ...  Acknowledgments This work was supported by the Deutschen Forschungsgemeinschaft , the Centre for Integrative Neuroscience (CIN), Tübingen, Germany (Pool-Project 2011-08), and Comisión Nacional de Investigación  ... 
doi:10.1016/j.biopsycho.2013.04.010 pmid:23643926 fatcat:2hkvm2maqfebzm5ulmiw3gqxva

Causality as a unifying approach between activation and connectivity analysis of fMRI data [article]

Nevio Dubbini
2011 arXiv   pre-print
This paper indicates causality as the tool that unifies the analysis of both activations and connectivity of brain areas, obtained with fMRI data.  ...  As a result we claim that causality must be the main tool to investigate activations, since it is a measure of "how much" the stimulus influences the BOLD signal, and since it unifies connectivity and  ...  The aim is to achieve a unifying approach between activation and connectivity analysis under the area of causality, in order to obtain a new strategy that can reveal new aspects about "activity" of the  ... 
arXiv:1102.5021v1 fatcat:pusvedu4rfa23kfde75jkog5lq

funcLAB/G—service-oriented architecture for standards-based analysis of functional magnetic resonance imaging in HealthGrids

Stephan G. Erberich, Manasee Bhandekar, Ann Chervenak, Carl Kesselman, Marvin D. Nelson
2007 NeuroImage  
Acknowledgments We would like to acknowledge the kind support by the Resonance Technology Incorporation, Northridge, California, for providing their VisuStim fMRI stimulation equipment to develop and test  ...  the funcLAB system.  ...  the VO, and (iii) training and knowledge exchange between users of a unified system design.  ... 
doi:10.1016/j.neuroimage.2007.07.001 pmid:17707204 fatcat:tssvu7gqrveirjdkbq4s2ic2ay

Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation

David E.J. Linden, Duncan L. Turner
2016 Current Opinion in Neurology  
on a quasireal-time basis [real-time-fMRI-based neurofeedback (rt-fMRI-NF)].  ...  Purpose of review Recent developments in functional magnetic resonance imaging (fMRI) have catalyzed a new field of translational neuroscience.  ...  The largest study using real-time neurofeedback in stroke recovery used an alternative but conceptually similar method to fMRI, namely, near-infra red spectroscopy (fNIRS) for relaying feedback of task-related  ... 
doi:10.1097/wco.0000000000000340 pmid:27213774 pmcid:PMC4947535 fatcat:vbab7k4ytbcw3juvxbni7g23nm

Low-frequency fluctuation in continuous real-time feedback of finger force: a new paradigm for sustained attention

Zhang-Ye Dong, Dong-Qiang Liu, Jue Wang, Zhao Qing, Zhen-Xiang Zang, Chao-Gan Yan, Yu-Feng Zang
2012 Neuroscience Bulletin  
The present study aimed to propose a new paradigm, real-time finger force feedback (RT-FFF), to study the brain mechanisms of sustained attention and neurofeedback.  ...  Conventional task designs for functional magnetic resonance imaging (fMRI) studies are not appropriate for frequency analysis.  ...  Inspired by the design of RS-fMRI, we here propose a new sustained attention paradigm named real-time finger force feedback (RT-FFF) to explore the underlying brain mechanisms.  ... 
doi:10.1007/s12264-012-1254-2 pmid:22833043 pmcid:PMC5561895 fatcat:pxi4hjdcqffffpx3xbmnzpakny

Computationally Intelligent Methods for Mining 3D Medical Images [chapter]

Despina Kontos, Vasileios Megalooikonomou, Fillia Makedon
2004 Lecture Notes in Computer Science  
Finally, we use neural networks for classification. As a case study, we analyze an fMRI dataset obtained from a study on Alzheimer's disease.  ...  The proposed intelligent tools have great potential for revealing relationships between ROIs in medical images and other clinical variables assisting systems that support medical diagnosis.  ...  Acknowledgement The authors would like to thank A. Saykin for providing the fMRI data set and clinical expertise and J. Ford for performing some of the preprocessing of this data set.  ... 
doi:10.1007/978-3-540-24674-9_9 fatcat:f44lzhgo2bcflay4fg7rtc376u

fMRI: preprocessing, classification and pattern recognition [article]

Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov
2018 arXiv   pre-print
Identification of informative neuroimaging markers requires establishing a comprehensive preparation pipeline for data which may be severely corrupted by artifactual signal fluctuations.  ...  approaches, and propose a noise-aware neuroimaging data processing pipeline.  ...  borderline mental disorders, and neurology" (a part of the Skoltech Biomedical Initiative program).  ... 
arXiv:1804.10167v1 fatcat:sgy5bc7psrchzhm3e6uxqzwqym

fMRI–EEG integrated cortical source imaging by use of time-variant spatial constraints

Zhongming Liu, Bin He
2008 NeuroImage  
Second, the EEG inverse problem is solved for every time instant using an adaptive Wiener filter, in which the prior time-variant source covariance matrix is estimated based on combining the quantified  ...  Moreover, applying the proposed method to real fMRI and EEG data acquired in a visual experiment yielded a time series of reconstructed CCD images, in agreement with the traditional view of hierarchical  ...  Wei Chen and Nanyin Zhang for their help in collecting the fMRI data, and would like to thank Chenguang Liu, Lin Yang, Xu Li, Han Yuan, Christopher Wilke and Lei Ding for valuable technical discussions  ... 
doi:10.1016/j.neuroimage.2007.10.003 pmid:18036833 pmcid:PMC2291020 fatcat:p47af4vernfppn7gsv3ydal32a

Feature-Based Fusion of Medical Imaging Data

Vince D. Calhoun, Tulay Adali
2009 IEEE Transactions on Information Technology in Biomedicine  
The features are then analyzed in a multivariate manner using independent component analysis.  ...  Index Terms-fMRI, EEG, ICA, multivariate data analysis, data fusion This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ...  Her research interests are in the areas of statistical signal processing, machine learning for signal processing, biomedical data analysis (functional MRI, MRI, PET, CR, ECG, and EEG), bioinformatics,  ... 
doi:10.1109/titb.2008.923773 pmid:19273016 pmcid:PMC2737598 fatcat:r56vewzjjfh7hmscyfld6kti4i

fMRI analysis on the GPU—Possibilities and challenges

Anders Eklund, Mats Andersson, Hans Knutsson
2012 Computer Methods and Programs in Biomedicine  
real-time fMRI.  ...  The presented work will save time for researchers and clinicians in their daily work and enables the use of more advanced analysis, such as non-parametric statistics, both for conventional fMRI and for  ...  Acknowledgement This work was supported by the strategic research center MOVIII, funded by the Swedish foundation for strategic research (SSF), and the Linnaeus center CADICS, funded by the Swedish research  ... 
doi:10.1016/j.cmpb.2011.07.007 pmid:21862169 fatcat:dr45swfkdfc63h5yihqyx2oa4e

Brain meta-state transitions demarcate spontaneous thoughts in movie-viewing and resting cognition [article]

Julie Tseng, Jordan Poppenk
2019 bioRxiv   pre-print
Using new methods to identify transitions in brain network meta-state, we characterize a neurocognitive landmark of conceptual transitions.  ...  Drawing on a large fMRI dataset, we found meta-state transitions robustly predicted the onset of new concepts during movie-viewing, and were more organized under the control of movie stimuli with more  ...  Infrastructure funding was provided by the Canada Foundation for Innovation -John R.  ... 
doi:10.1101/576298 fatcat:vityad2snjcgpm37i35wybeagi
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