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Automated real-time behavioral and physiological data acquisition and display integrated with stimulus presentation for fMRI

2011 Frontiers in Neuroinformatics  
Combining real-time recording and data management of multiple behavioral and physiological signals in a way that can be routinely used with any task stimulus paradigm is a non-trivial software design problem  ...  Finally, we discuss standards and formats for storage of temporal covariate data and its integration into fMRI image analysis.  ...  This work was supported in part by NIH grants P01NS041328 and 1U24RR025736-01.  ... 
doi:10.3389/fninf.2011.00027 pmid:22232596 pmcid:PMC3247706 fatcat:u3bgrrjjpbfqdhy7nmqfpghrue

Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies

Gary H. Glover, Bryon A. Mueller, Jessica A. Turner, Theo G.M. van Erp, Thomas T. Liu, Douglas N. Greve, James T. Voyvodic, Jerod Rasmussen, Gregory G. Brown, David B. Keator, Vince D. Calhoun, Hyo Jong Lee (+13 others)
2012 Journal of Magnetic Resonance Imaging  
Acknowledgments The authors are grateful to Liv McMillan (UC Irvine), who served initially as research coordinator, and then as senior research coordinator for the FBIRN following Dr. J.A.  ...  Kun Lu (UCSD) provided assistance with slice profile measurements.  ...  III.D Multi-Center task paradigm stimulus presentation and behavioral data collection The tasks and the stimulus presentation and behavioral data collection software/hardware that are employed must be  ... 
doi:10.1002/jmri.23572 pmid:22314879 pmcid:PMC3349791 fatcat:ksvoh32ymnduxcsfjpotwrvem4

Physiological basis and image processing in functional magnetic resonance imaging: neuronal and motor activity in brain

Rakesh Sharma, Avdhesh Sharma
2004 BioMedical Engineering OnLine   retracted
Latest developments are reviewed for clinical applications of fMRI along with other different neurophysiological and imaging modalities.  ...  This review article summarizes the physiological basis of fMRI signal, its origin, contrast enhancement, physical factors, anatomical labeling by segmentation, registration approaches with examples of  ...  It applied real-time functional MRI acquisition and activation analysis modules within AFNI package.  ... 
doi:10.1186/1475-925x-3-13 pmid:15125779 pmcid:PMC419711 fatcat:dcn2cgkgyrfspboticb2qyswmy

A framework for closed-loop neurofeedback for real-time EEG decoding [article]

Greta Tuckute, Sofie T Hansen, Troels W Kjaer, Lars Kai Hansen
2019 bioRxiv   pre-print
Here, we present and outline the core components of a novel open-source neurofeedback framework based on scalp EEG signals for real-time neuroimaging, state classification and closed-loop feedback.  ...  Neurofeedback based on real-time brain imaging allows for targeted training of brain activity with demonstrated clinical applications.  ...  We would like to thank Ivana Konvalinka, Per Baekgaard and Tobias Andersen at DTU Cognitive Systems for feedback on the experimental and technical aspects of the neurofeedback system.  ... 
doi:10.1101/834713 fatcat:aqgvdlsi6fgz5fxhit7vcvia5u

Study design in fMRI: Basic principles

Edson Amaro, Gareth J. Barker
2006 Brain and Cognition  
In this manuscript we review some aspects of fMRI study design, including cognitive comparison strategies (factorial, parametric designs), and stimulus presentation possibilities (block, event-related,  ...  There is a wide range of functional magnetic resonance imaging (fMRI) study designs available for the neuroscientist who wants to investigate cognition.  ...  Funcional-Institute of Radiology, University of São Paulo Brasil and their staV for providing insightful comments.  ... 
doi:10.1016/j.bandc.2005.11.009 pmid:16427175 fatcat:76igryuirrca5fcmssfca5wswy

Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model

A. Farras Abdelnour, Theodore Huppert
2009 NeuroImage  
In this work, we demonstrate the ability to record and analyze images of brain activity in real-time using a 16-channel continuous wave optical NIRS system.  ...  We propose a novel real-time analysis framework using an adaptive Kalman filter and a state-space model based on a canonical general linear model of brain activity.  ...  In the panel on the right is shown our real-time display with data collected from subject B. Labels for the tapping epochs have been added for clarity.  ... 
doi:10.1016/j.neuroimage.2009.01.033 pmid:19457389 pmcid:PMC2758631 fatcat:xj4vwevphjhjljvykkevwzplwu

The effects of emotion on pilot decision-making: A neuroergonomic approach to aviation safety

Mickaël Causse, Frédéric Dehais, Patrice Péran, Umberto Sabatini, Josette Pastor
2013 Transportation Research Part C: Emerging Technologies  
Taken together, behavioral and fMRI result support the hypothesis that PCE can be provoked by a temporary impairment of rational decision-making due to the negative emotional consequences attached with  ...  A behavioral experiment (n = 12) and a second one (n = 6) using functional magnetic resonance imaging (fMRI) were conducted.  ...  Stimulus display and data acquisition were done with Cogent 2000 v125 (a software environment for functional brain mapping experiments that allows presenting scanner-synchronized stimuli) running under  ... 
doi:10.1016/j.trc.2012.04.005 fatcat:ip353e76kza5blpm6k4guyps4a

An extension of the studyforrest dataset for vision research [article]

Ayan Sengupta, Falko R Kaule, J. Swaroop Guntupalli, Michael B Hoffmann, Christan Häusler, Jörg Stadler, Michael Hanke
2016 bioRxiv   pre-print
The combination of this update, the previous data releases for the dataset, and the companion publication, which includes neuroimaging and eye tracking data from natural stimulation with a motion picture  ...  , form an extremely versatile and comprehensive resource for brain imaging research -- with almost six hours of functional neuroimaging data across five different stimulation paradigms for each participant  ...  MBH contributed the examination of visual function and expertise in retinotopic mapping. CH contributed to the visual localizer analysis. JS was the data acquisition lead.  ... 
doi:10.1101/046573 fatcat:7esfri3oarestjifkkiz3bbx3e

When the brain is prepared to learn: Enhancing human learning using real-time fMRI

Julie J. Yoo, Oliver Hinds, Noa Ofen, Todd W. Thompson, Susan Whitfield-Gabrieli, Christina Triantafyllou, John D.E. Gabrieli
2012 NeuroImage  
Here, activation in PHC was monitored in real-time, and scene presentations were triggered when participants entered "good" or "bad" brain states for learning of novel scenes.  ...  These findings show that neuroimaging can identify in real-time brain states that enhance or depress learning and memory formation, and knowledge about such brain states may be useful for accelerating  ...  Army Medical Research Institute of Environmental Medicine administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S.  ... 
doi:10.1016/j.neuroimage.2011.07.063 pmid:21821136 pmcid:PMC4230014 fatcat:2y6hwrpmejfl7mmvqjodx7q3xe

BOLD fMRI in awake prairie voles: A platform for translational social and affective neuroscience

J.R. Yee, W.M. Kenkel, P. Kulkarni, K. Moore, A.M. Perkeybile, S. Toddes, J.A. Amacker, C.S. Carter, C.F. Ferris
2016 NeuroImage  
The use of ultra-high-field fMRI allows for recording changes in region-specific activity throughout the entire brain simultaneously and with high temporal and spatial resolutions.  ...  Here, we present novel techniques for the use of awake functional magnetic resonance imaging (fMRI) in the prairie vole (Microtus ochrogaster)an important step forward in minimally-invasive measurement  ...  Acknowledgements These studies were supported by a grant from the National Institute of Childhood Health and Human Development NICHD P01HD075750.  ... 
doi:10.1016/j.neuroimage.2016.05.046 pmid:27238726 pmcid:PMC4933013 fatcat:56eexmtwbfawxpgur3qxwyaswi

Functional connectivity alteration after real-time fMRI motor imagery training through self-regulation of activities of the right premotor cortex

Fufang Xie, Lele Xu, Zhiying Long, Li Yao, Xia Wu
2015 BMC Neuroscience  
Conclusions: This finding is new evidence that real-time fMRI is effective and can provide a theoretical guidance for the alteration of the motor function of brain regions associated with motor imagery  ...  Real-time functional magnetic resonance imaging technology (real-time fMRI) is a novel method that can be used to investigate motor imagery training, it has attracted increasing attention in recent years  ...  Acknowledgements The authors would like to thank Jiacai Zhang and Xiaojuan Guo for their excellent technical assistance with image analysis. Thank Hang Zhang for acquisition of data.  ... 
doi:10.1186/s12868-015-0167-1 pmid:25926036 pmcid:PMC4453277 fatcat:ekaogtia5zbt5ht66mz3evpsfm

Towards Brain First-Aid: A Diagnostic Device for Conscious Awareness

R C N D'Arcy, Sujoy Ghosh Hajra, C Liu, L D Sculthorpe, D F Weaver
2011 IEEE Transactions on Biomedical Engineering  
It uses a novel software algorithm that automates subject stimulation, data acquisition/analysis, and the reporting of results.  ...  Existing tests typically rely on behavioral indicators, which are incorrect in as many as one out of every two cases. The current paper presents a diagnostic device that addresses this problem.  ...  It should be noted that building and utilizing a normative database for comparison purposes requires that the procedure used for data acquisition be standardized (i.e., the stimulus sequence, EEG hardware  ... 
doi:10.1109/tbme.2010.2090880 pmid:21075716 fatcat:74eohqleezh5rn7ketwyzwcqp4

Touch, sound and vision in human superior temporal sulcus

Michael S. Beauchamp, Nafi E. Yasar, Richard E. Frye, Tony Ro
2008 NeuroImage  
fMRI).  ...  STSms responded during both active and passive presentation of unisensory somatosensory stimuli and showed larger responses for more intense vs. less intense tactile stimuli, hand vs. foot, and contralateral  ...  Acknowledgments Benjamin Malmberg, David Strickland and Vips Patel assisted with subject recruitment and data collection. This research was supported in part by NSF grants 0642801 and 0642532 to MSB  ... 
doi:10.1016/j.neuroimage.2008.03.015 pmid:18440831 pmcid:PMC2409200 fatcat:2yoqy3vazvdctkne4qezffxr4a

The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository

Amalia R. McDonald, Jordan Muraskin, Nicholas T.Van Dam, Caroline Froehlich, Benjamin Puccio, John Pellman, Clemens C.C. Bauer, Alexis Akeyson, Melissa M. Breland, Vince D. Calhoun, Steven Carter, Tiffany P. Chang (+32 others)
2017 NeuroImage  
, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures.  ...  The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing.  ...  Acknowledgments We would like to thank Cathy Hu and Raj Sangoi for MRI operation. Data collection and salary support were provided by NIMH BRAINS R01MH101555.  ... 
doi:10.1016/j.neuroimage.2016.10.048 pmid:27836708 pmcid:PMC5322045 fatcat:3png2fmfmbh3laswcuh34e7mhm

Near-Infrared Neuroimaging with NinPy

Gary Strangman
2009 Frontiers in Neuroinformatics  
integration of optical with other structural and functional neuroimaging data sources.  ...  We have therefore been developing a suite of Python modules to support the computational aspects of NIN data acquisition, analysis, and display.  ...  Functional neuroimaging data collection requires accurate timing of both stimulus displays and user responses, with near real-time graphics and device polling capabilities.  ... 
doi:10.3389/neuro.11.012.2009 pmid:19543449 pmcid:PMC2698776 fatcat:2eqjy7v5nba6jpnpls6e34z3fa
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