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A New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis

Juliano J. Duque, Marcio J. Sturzbecher, Draulio B. Araujo, Joaquim C. Felipe
2007 XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)  
In this work, we propose a new method for the analysis of event-related fMRI based in the use of the Dynamic Time Warping technique to compare pixel intensity time series.  ...  The main purpose of fMRI is to map brain activity, which is achieved by applying statistical methods to time series of each voxel intensity, related to changes in blood oxygen level, in response to a short  ...  Acknowledgment This work is partially supported by brazilian Fundação para o Amparo à Pesquisa no Estado de São Paulo (FAPESP).  ... 
doi:10.1109/sibgrapi.2007.34 dblp:conf/sibgrapi/DuqueSAF07 fatcat:tavqxhnusbbkzm37nmrxt5pbhu

A New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis

Juliano J. Duque, Marcio J. Sturzbecher, Draulio B. Araujo, Joaquim C. Felipe
2007 Computer Graphics and Image Processing (SIBGRAPI), Proceedings of the Brazilian Symposium on  
In this work, we propose a new method for the analysis of event-related fMRI based in the use of the Dynamic Time Warping technique to compare pixel intensity time series.  ...  The main purpose of fMRI is to map brain activity, which is achieved by applying statistical methods to time series of each voxel intensity, related to changes in blood oxygen level, in response to a short  ...  Acknowledgment This work is partially supported by brazilian Fundação para o Amparo à Pesquisa no Estado de São Paulo (FAPESP).  ... 
doi:10.1109/sibgra.2007.4368201 fatcat:6otrsq54trc3zciz7rman2s3ya

Tracking Cognitive Processes with Functional MRI Mental Chronometry [chapter]

Rainer Goebel
2019 Proceedings of EuroCogSci 03  
Functional magnetic resonance imaging (fMRI) is used widely to determine the spatial layout of brain activation associated with specific cognitive tasks at a spatial scale of millimeters.  ...  Despite the sluggishness of the hemodynamic response, fMRI can detect a cascade of neural activations -the signature of a sequence of cognitive processes.  ...  Acknowledgements We are grateful to Nikolaus Kriegeskorte and David EJ Linden for useful comments on the manuscript and to Alard Roebroeck for providing Figure 1 .  ... 
doi:10.4324/9781315782362-3 fatcat:74g44d7snbgdhgvuvo4hff6bfy

Tracking cognitive processes with functional MRI mental chronometry

Elia Formisano, Rainer Goebel
2003 Current Opinion in Neurobiology  
Functional magnetic resonance imaging (fMRI) is used widely to determine the spatial layout of brain activation associated with specific cognitive tasks at a spatial scale of millimeters.  ...  Despite the sluggishness of the hemodynamic response, fMRI can detect a cascade of neural activations -the signature of a sequence of cognitive processes.  ...  Acknowledgements We are grateful to Nikolaus Kriegeskorte and David EJ Linden for useful comments on the manuscript and to Alard Roebroeck for providing Figure 1 .  ... 
doi:10.1016/s0959-4388(03)00044-8 pmid:12744970 fatcat:4ts2hzapojfsvk5x6zdj6wyx5y

Analysis of event-related fMRI data using best clustering bases

F.G. Meyer, J. Chinrungrueng
2003 IEEE Transactions on Medical Imaging  
We explore a new paradigm for the analysis of eventrelated functional magnetic resonance images (fMRI) of brain activity.  ...  We regard the fMRI data as a very large set of time series ( ), indexed by the position of a voxel inside the brain.  ...  McCarthy for making the fMRI data available for this work, and the reviewers for their comments and suggestions.  ... 
doi:10.1109/tmi.2003.815869 pmid:12906247 fatcat:zs4lps72fbbdfis2ew4fhan3mm

Analysis of Event-Related fMRI Data Using Best Clustering Bases [chapter]

François G. Meyer, Jatuporn Chinrungrueng
2003 Lecture Notes in Computer Science  
We explore a new paradigm for the analysis of eventrelated functional magnetic resonance images (fMRI) of brain activity.  ...  We regard the fMRI data as a very large set of time series ( ), indexed by the position of a voxel inside the brain.  ...  McCarthy for making the fMRI data available for this work, and the reviewers for their comments and suggestions.  ... 
doi:10.1007/978-3-540-45087-0_52 fatcat:5iloyatt2jc5df7mjottwgjxyu

Applications of fMRI for Brain Mapping [article]

Nivedita Daimiwal, M. Sundhararajan, Revati Shriram
2012 arXiv   pre-print
The authors provide an overview of various Brain Mapping techniques and fMRI signal processing methods.  ...  Brain functions and brain area responsible for the particular activities like motor, sensory speech and memory process could be investigated.  ...  Madhuri Khambete and Prof A. D. Gaikwad for their motivation, and help towards the completion of this paper, as well as for providing valuable advice.  ... 
arXiv:1301.0001v1 fatcat:h2d3ly4prneyddkgzqocklvvde

Time-resolved detection of stimulus/task-related networks, via clustering of transient intersubject synchronization

Cécile Bordier, Emiliano Macaluso
2015 Human Brain Mapping  
Several methods are available for the identification of functional networks of brain areas using functional magnetic resonance imaging (fMRI) time-series.  ...  The final output consists of a set of network configurations that show stimulus/task-related activity at specific timepoints during the fMRI time-series.  ...  Main fMRI Experiment: bModes The time-series of the main fMRI experiment were averaged within the 116 AAL regions and submitted to the new method.  ... 
doi:10.1002/hbm.22852 pmid:26095530 pmcid:PMC5008218 fatcat:2xg3vqghszeenbsghblrdkbmtm

De-noising with a SOCK can improve the performance of event-related ICA

Kaushik Bhaganagarapu, Graeme D. Jackson, David F. Abbott
2014 Frontiers in Neuroscience  
Event-related ICA (eICA) is a partially data-driven analysis method for event-related fMRI that is particularly suited to analysis of simultaneous EEG-fMRI of patients with epilepsy.  ...  Specifically we first apply ICA to the entire fMRI time-series and use a classifier to remove noise-related components.  ...  ACKNOWLEDGMENTS This study was supported by the National Health and Medical Research Council of Australia (Project grants 368650 and 318900, Program Grant 628952, and a practitioner fellowship 527800 to  ... 
doi:10.3389/fnins.2014.00285 pmid:25285065 pmcid:PMC4168685 fatcat:vtv2h7pu3fc5lcqneyzjyqxusy

Detecting Brain Activations in Functional Magnetic Resonance Imaging (fMRI) Experiments with a Maximum Cross-Correlation Statistic

Kinfemichael Gedif, William R. Schucany, Wayne A Woodward, Patrick S. Carmack, Robert W. Haley
2021 Journal of Data Science  
The primary focus of this paper is on those statistical methods that enable one to detect 'significantly activated' regions of the brain due to event-related stimuli.  ...  We propose and investigate a new approach that does not require HRF fits to detect 'activated' voxels.  ...  The primary focus of this paper is on those statistical methods that enable one to detect 'significantly activated' regions of the brain due to external event-related stimuli.  ... 
doi:10.6339/jds.201207_10(3).0004 fatcat:zkupzc2olrfyhby4a7o2efyefm

Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models

S. Faisan, L. Thoraval, J.-P. Armspach, M.-N. Metz-Lutz, F. Heitz
2005 IEEE Transactions on Medical Imaging  
Activation detection results obtained on synthetic and real epoch-related fMRI data demonstrate the superiority of the HSMESM mapping method with respect to a real application case of the statistical parametric  ...  The sequence of HRO events is derived from a continuous wavelet transform (CWT) of the fMRI signal. The brain activation HSMESM is built from the timing information of the input stimulation protocol.  ...  Specifically, the learning-mapping procedure consists in automatically building a series of refined brain activation models, , with a series of active fMRI signal sets, , and its correlate, the series  ... 
doi:10.1109/tmi.2004.841225 pmid:15707252 fatcat:fhlkgeuciradlbrx2wyt7mg3ii

Event-related fMRI in cognition

Scott A. Huettel
2012 NeuroImage  
By modeling brain function as a series of transient changes, rather than as an ongoing state, event-related fMRI allowed researchers to create much more complex paradigms and more dynamic analysis methods  ...  And, as event-related methods have become ubiquitous, they no longer represent a distinct category of fMRI research. In a real sense, event-related fMRI has now become, simply, fMRI.  ...  Acknowledgments The author thanks Gregory McCarthy and Allen Song for many discussions about fMRI methods over the past 15 years, and David Smith for comments on this manuscript.  ... 
doi:10.1016/j.neuroimage.2011.08.113 pmid:21963919 pmcid:PMC3277683 fatcat:veonzlz5sfcc5oundkw3dpqxga

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
Functional magnetic resonance imaging (fMRI) is recently developing as imaging modality used for mapping hemodynamics of neuronal and motor event related tissue blood oxygen level dependence (BOLD) in  ...  terms of brain activation.  ...  fMRI Time series analysis In fMRI, 'time series analysis' by SPM99 is recently used for autocorrection and smoothening.  ... 
doi:10.1186/1475-925x-3-13 pmid:15125779 pmcid:PMC419711 fatcat:dcn2cgkgyrfspboticb2qyswmy

Features selection for clustering of fMRI data

Francois G. Meyer, Jatuporn Chinrungrueng, Michael A. Unser, Akram Aldroubi, Andrew F. Laine
2003 Wavelets: Applications in Signal and Image Processing X  
We address the problem of the analysis of event-related functional Magnetic Resonance Images (fMRI). We propose to separate the fMRI time series into "activated" and "non-activated" clusters.  ...  We have conducted several experiments with synthetic and in-vivo event-related fMRI data. Our method is capable of discovering the structures of the synthetic data.  ...  The detection of activation using event-related fMRI data is the more difficult problem and will be the focus of this work.  ... 
doi:10.1117/12.507494 fatcat:xzd3oc5dcnhltglmmmu73buseu

Activation Detection in Functional MRI Using Model-Free Technique Based On CCA-ICA Analysis

Nour El-Shabrawy, Ahmed S. Mohamed, Abou-Bakr M. Youssef, Yasser M. Kadah
2007 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
In this work, a simple yet robust model-free technique is proposed for detecting the fMRI activations.  ...  The model-based approach for detecting the fMRI activations involves assumptions about the hemodynamic response function.  ...  A variety of analysis methods have been developed for detecting brain activations in fMRI.  ... 
doi:10.1109/iembs.2007.4353068 pmid:18002734 fatcat:wzspu3vpmvbn5oi5ngdrczugxa
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