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Stimulus Response Detection In Fmri Using Digital Filters, Temporal Clustering Analysis And A Three-Dimensional Selection Criterion

Sarah Lee, Fernando Zelaya, Stephanie Amiel, Michael Brammer
2007 Zenodo  
Publication in the conference proceedings of EUSIPCO, Poznan, Poland, 2007  ...  CONCLUSION A data-driven method is proposed for detecting responses to stimuli in fMRI data, which uses pre-existing temporal clustering analysis methods with digital filters and a three-dimensional selection  ...  A Three-Dimensional Selection Criterion Based on that voxels corresponding to a stimulus appear in clusters with various sizes and shapes, a 3D selection criterion is applied to identify voxels that are  ... 
doi:10.5281/zenodo.40293 fatcat:n654xoh5sfe6lbohb2hsvawl6y

Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis

Fengyu Cong, Tuomas Puoliväli, Vinoo Alluri, Tuomo Sipola, Iballa Burunat, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi
2014 Journal of Neuroscience Methods  
filter can be used to further preprocess the fMRI data. • The filter benefits the following model order selection and ICA on the fMRI data. • Diffusion map and spectral clustering are useful to find common  ...  Conclusions: Pre-processing the fMRI data by using a reasonable band-pass digital filter can greatly benefit the following model order selection and ICA with fMRI data by naturalistic paradigms.  ...  The authors thank GIFT software ( for model order selection and group ICA, and thank the anonymous reviewers for the useful comments, and thank CSC -IT Center for Science  ... 
doi:10.1016/j.jneumeth.2013.11.025 pmid:24333752 fatcat:2a24vjyr2vg2rpg5mwt7cxtzam

Robust Data Driven Model Order Estimation for Independent Component Analysis of fMRI Data with Low Contrast to Noise

Waqas Majeed, Malcolm J. Avison, Daniele Marinazzo
2014 PLoS ONE  
We then demonstrate the utility of this fully datadriven approach to detect weak and focal stimulus-driven responses in real data.  ...  Choice of nIC has been shown to influence the ICA maps, and various approaches (mostly relying on information theoretic criteria) have been proposed and implemented in commonly used ICA analysis packages  ...  Acknowledgments We are grateful to Feng Wang PhD, Robert Friedman PhD and Chaohui Tang MD for helpful discussions, and assistance with the collection of in vivo data.  ... 
doi:10.1371/journal.pone.0094943 pmid:24788636 pmcid:PMC4005775 fatcat:6j7bt5d6ungdpp45zfpq47kkci

Clustered Components Analysis for Functional MRI

S. Chen, C.A. Bouman, M.J. Lowe
2004 IEEE Transactions on Medical Imaging  
Such averaging may destroy significant features in the temporal evolution of the fMRI response that stem from either differences in vascular coupling to neural tissue or actual differences in the neural  ...  A common method of increasing hemodynamic response (SNR) in functional magnetic resonance imaging (fMRI) is to average signal timecourses across voxels.  ...  ACKNOWLEDGMENT The authors would like to thank Brian Cook for help in the development of the stimulus paradigm and Julie Lowe for help in scanning.  ... 
doi:10.1109/tmi.2003.819922 pmid:14719690 fatcat:7lxygockjrafligezc6ddofsxm

Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis

Valeri Tsatsishvili, Fengyu Cong, Tuomas Puoliväli, Vinoo Alluri, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi
2013 The European Symposium on Artificial Neural Networks  
was financially supported by TEKES (Finland) under grant40334/10 "Machine Learning for Future Music and Learning Technologies". A.K.  ...  Next, temporal course of each voxel in the dataset was filtered using digital filter based on Fourier transform.  ...  Before subjecting fMRI to ICA decomposition, dimension reduction using PCA with model order selection is a common pre-processing routine that helps in identifying and separating signal and noise subspaces  ... 
dblp:conf/esann/TsatsishviliCPATNBR13 fatcat:bwfdmpay45epvfjq2c3lh6lyqq

Brain networks in human conscious visual perception [article]

Sharif I. Kronemer, Mark Aksen, Julia Ding, Jun Hwan Ryu, Qilong Xin, Zhaoxiong Ding, Jacob S. Prince, Hunki Kwon, Aya Khalaf, Sarit Forman, David Jin, Kevin Wang (+16 others)
2021 bioRxiv   pre-print
Direct recordings revealed a novel thalamic awareness potential linked to conscious visual perception based on report. fMRI showed thalamic and cortical detection, arousal, attentional salience, task-positive  ...  AbstractConsciousness is not explained by a single mechanism, rather it involves multiple specialized neural systems overlapping in space and time.  ...  fMRI, hdEEG, ldEEG, icEEG, and EyeLink Temporal Analyses Statistical analysis of all timecourse data (i.e., 2-dimensional data of the structure signal by time), including fMRI k-means cluster (see the  ... 
doi:10.1101/2021.10.04.462661 fatcat:oouqbnqbwjbtjlcfvvyvabqy3m

Attention Modulates the Auditory Cortical Processing of Spatial and Category Cues in Naturalistic Auditory Scenes

Hanna Renvall, Noël Staeren, Claudia S. Barz, Anke Ley, Elia Formisano
2016 Frontiers in Neuroscience  
Compared to monophonic sounds, stereophonic sounds evoked larger blood-oxygenation-level-dependent (BOLD) fMRI responses in the bilateral posterior superior temporal areas, independent of which stimulus  ...  of BOLD responses and decrease of MEG responses.  ...  and three-dimensional motion correction.  ... 
doi:10.3389/fnins.2016.00254 pmid:27375416 pmcid:PMC4894904 fatcat:xr6fwywqxjhpndo5c2ye5kgc7q

FMRI repetition suppression for voices is modulated by stimulus expectations

Attila Andics, Viktor Gál, Klára Vicsi, Gábor Rudas, Zoltán Vidnyánszky
2013 NeuroImage  
According to predictive coding models of sensory processing, stimulus expectations have a profound effect on sensory cortical responses.  ...  Changing ('alt') and identical ('rep') voice stimulus pairs were presented to the listeners in blocks, with a varying probability of alt and rep trials across blocks.  ...  In addition to the functional time series, a standard T1-weighted three-dimensional scan using a turbo-field echo (TFE) sequence with 180 slices covering the whole brain was collected for anatomical reference  ... 
doi:10.1016/j.neuroimage.2012.12.033 pmid:23268783 fatcat:kpcrdry5u5fnjpcgvw456rpv44

Functional selectivity for face processing in the temporal voice area of early deaf individuals [article]

Stefania Benetti, Markus J. van Ackeren, Giuseppe Rabini, Joshua Zonca, Valentina Foa, Francesca Baruffaldi, Mohamed Rezk, Francesco Pavani, Bruno Rossion, Olivier Collignon
2017 bioRxiv   pre-print
We show enhanced selective neural response for faces and for individual face coding in a specific region of the auditory cortex that is typically specialized for voice perception in hearing individuals  ...  Functional and effective connectivity analyses suggest reorganization in long-range connections from early visual areas to the face-selective temporal area in individuals with early and profound deafness  ...  Data was acquired with a sampling rate of 1kHz and an online band pass filter between 0.1 and 330 Hz. Individual headshapes were recorded using a Polhemus FASTRAK 3D digitizer.  ... 
doi:10.1101/154138 fatcat:ybxwp3fwk5c7rfgv2qpzu6rxxm

State-Space Analysis of Working Memory in Schizophrenia: An FBIRN Study

Firdaus Janoos, Gregory Brown, Istvan Á. Mórocz, William M. Wells
2012 Psychometrika  
Additionally, the SSM was used to compare the spatio-temporal patterns of mental activity across subjects, in a holistic fashion and to derive a low-dimensional representation space for the SIRP task,  ...  in which subjects were found to cluster according to their diagnosis.  ...  Jessica Turner (Mind Research Network, Albuquerque, USA) for her help in acquiring and processing the data.  ... 
doi:10.1007/s11336-012-9300-6 pmid:25107617 pmcid:PMC4747099 fatcat:srokskuj3ra3hfwlgmoco5erxm

Mental Chronometry of Working Memory Retrieval: A Combined Functional Magnetic Resonance Imaging and Event-Related Potentials Approach

C. Bledowski
2006 Journal of Neuroscience  
No filter was used during recording. The EEG and EOG were digitized with a sampling rate of 500 Hz.  ...  Data preprocessing comprised temporal slice scan time correction, Talairach transformation, three-dimensional (3-D) motion correction, and spatial (8 mm) and temporal (ϳ0.006 Hz) smoothing (Bledowski  ... 
doi:10.1523/jneurosci.3542-05.2006 pmid:16421302 fatcat:pdv3wkma6nbvtcdftnvjvu3g2a

Enhanced Category Tuning Revealed by Intracranial Electroencephalograms in High-Order Human Visual Areas

E. Privman, Y. Nir, U. Kramer, S. Kipervasser, F. Andelman, M. Y. Neufeld, R. Mukamel, Y. Yeshurun, I. Fried, R. Malach
2007 Journal of Neuroscience  
A plausible interpretation of the fMRI and iEEG results concerns cortical organization in which object categories are organized in a mosaic of narrowly tuned object-selective clusters.  ...  (fMRI) obtained in healthy subjects.  ...  fMRI data Preprocessing of functional scans included three-dimensional motion correction, filtering out of low frequencies (slow drift), and spatial smoothing with a Gaussian kernel of FWHM ϭ 4 mm (object  ... 
doi:10.1523/jneurosci.4627-06.2007 pmid:17553996 fatcat:c7wyo6fia5elpkfcvko3p7zr4u

Single-trial detection of somatosensory evoked potentials by probabilistic independent component analysis and wavelet filtering

L. Hu, Z.G. Zhang, Y.S. Hung, K.D.K. Luk, G.D. Iannetti, Y. Hu
2011 Clinical Neurophysiology  
Probabilistic independent component analysis (PICA) was used as a spatial filter to isolate SEP-related independent components (ICs), and wavelet filtering was used as a time-frequency filter to further  ...  Conclusions: Combining PICA and wavelet filtering offers a space-time-frequency filter that can be used to enhance the SNR of single-trial SEPs greatly, thus providing a reliable estimation of single-trial  ...  SEP trials were extracted using a window analysis time of 300 ms (100 ms pre-stimulus and 200 ms post-stimulus) and baseline corrected using the pre-stimulus time interval.  ... 
doi:10.1016/j.clinph.2010.12.052 pmid:21296019 fatcat:v26flotytrbk3oyromgs2pv3lu

Thalamocortical excitability modulation guides human perception under uncertainty

Julian Q Kosciessa, Ulman Lindenberger, Douglas D Garrett
2021 Nature Communications  
stimulus features, and that (b) the thalamus provides a subcortical nexus for such uncertainty-related shifts.  ...  Here, we had young adults attend to varying numbers of task-relevant features during EEG and fMRI acquisition to test these hypotheses.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1038/s41467-021-22511-7 pmid:33893294 fatcat:n6qlolh7ajglved6y4hzr3l2ky

Task-Dependent Decoding of Speaker and Vowel Identity from Auditory Cortical Response Patterns

M. Bonte, L. Hausfeld, W. Scharke, G. Valente, E. Formisano
2014 Journal of Neuroscience  
We used single-trial fMRI and analyzed cortical responses collected while subjects listened to the same speech sounds (vowels /a/, /i/, and /u/) spoken by different speakers (boy, girl, male) and performed  ...  Univariate analyses showed a task-specific activation increase in the right superior temporal gyrus/sulcus (STG/STS) during speaker categorization and in the right posterior temporal cortex during vowel  ...  Indeed, using EEG, we previously observed a task-dependent temporal alignment of oscillatory responses to individual speakers/vowels starting ϳ200 ms after stimulus onset and following an initial analysis  ... 
doi:10.1523/jneurosci.4339-13.2014 pmid:24672000 pmcid:PMC6608128 fatcat:ufohcbadhbgpfgnlvyo6cw7y6e
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