A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
A New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis
2007
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)
Preserved Fulltext
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
2007
Computer Graphics and Image Processing (SIBGRAPI), Proceedings of the Brazilian Symposium on
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
2019
Proceedings of EuroCogSci 03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2003
Current Opinion in Neurobiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
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
2003
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
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]
2003
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
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]
2012
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2015
Human Brain Mapping
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2014
Frontiers in Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2021
Journal of Data Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2005
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2012
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
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
2004
BioMedical Engineering OnLine
retracted
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2003
Wavelets: Applications in Signal and Image Processing X
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
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
2007
IEEE Engineering in Medicine and Biology Society. Conference Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 18,724 results