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Classification images reveal the information sensitivity of brain voxels in fMRI

Fraser W. Smith, Lars Muckli, David Brennan, Cyril Pernet, Marie L. Smith, Pascal Belin, Frederic Gosselin, Donald M. Hadley, Jonathan Cavanagh, Philippe G. Schyns
2008 NeuroImage  
Moreover, we reveal the actual subset of visual information which modulates BOLD sensitivity within each such brain region.  ...  Bubbles: A technique to reveal the use of information in recognition tasks. Vis.  ...  Acknowledgments The authors would like to thank two anonymous reviewers for their helpful comments on a previous version of the manuscript.  ... 
doi:10.1016/j.neuroimage.2008.01.029 pmid:18342542 fatcat:hqa7ztdcfrdwnasocmsfwdomx4

What Makes a Pattern? Matching Decoding Methods to Data in Multivariate Pattern Analysis

Philip A. Kragel, R. McKell Carter, Scott A. Huettel
2012 Frontiers in Neuroscience  
Research in neuroscience faces the challenge of integrating information across different spatial scales of brain function.  ...  While the prevalence of MVPA has increased dramatically in recent years, its typical implementations for classification of mental states utilize only a subset of the information encoded in local fMRI signals  ...  Huettel was supported by an Incubator Award from the Duke Institute for Brain Sciences.  ... 
doi:10.3389/fnins.2012.00162 pmid:23189035 pmcid:PMC3505006 fatcat:nfv6ozoz4zeqzdyyacqdzwmqme

Analyzing for information, not activation, to exploit high-resolution fMRI

Nikolaus Kriegeskorte, Peter Bandettini
2007 NeuroImage  
High-resolution functional magnetic resonance imaging (hi-res fMRI) promises to help bridge the gap between the macro-and the microview of brain function afforded by conventional neuroimaging and invasive  ...  Hi-res fMRI (voxel volume ≤ (2 mm) 3 ) is robustly achievable in human studies today using widely available clinical 3-Tesla scanners.  ...  Thus, the title of every fMRI study revealing an effect of experimental condition on brain activity (i.e. the vast majority of fMRI studies) could legitimately be changed to claim that the mental state  ... 
doi:10.1016/j.neuroimage.2007.02.022 pmid:17804260 pmcid:PMC2099257 fatcat:vejx2pz3q5agzd4rutofy5fygi

Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data [chapter]

Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nelly Alia-Klein, Lisa Cottone, Andreana Leskovjan, Nora Volkow, Rita Goldstein
2005 Lecture Notes in Computer Science  
To our knowledge, this is the first time that learning on fMRI data is performed explicitly on temporal information for classification in such applications.  ...  Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data analysis methods.  ...  Introduction Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain by providing sequences of 3D brain images.  ... 
doi:10.1007/11566465_84 fatcat:wzaqnm46p5akjmuuiqlk336lx4

Recent developments in multivariate pattern analysis for functional MRI

Zhi Yang, Fang Fang, Xuchu Weng
2012 Neuroscience Bulletin  
Compared with the traditional univariate methods, MVPA is more sensitive to subtle changes in multivariate patterns in fMRI data.  ...  The limitations of MVPA and some critical questions that need to be addressed in future research are also discussed.  ...  Acknowledgements: We thank Professor Georg Northoff for helpful comments in the preparation of the manuscript.  ... 
doi:10.1007/s12264-012-1253-3 pmid:22833038 pmcid:PMC5561894 fatcat:b7w5olxdbbdyhap26whh6lj6p4

Seeing patterns through the hemodynamic veil — The future of pattern-information fMRI

Elia Formisano, Nikolaus Kriegeskorte
2012 NeuroImage  
Pattern-information fMRI (pi-fMRI) has become a popular method in neuroscience.  ...  (3) Do high-resolution and high-field fMRI increase sensitivity to pattern information?  ...  Acknowledgments This research was supported by Maastricht University (EF) and by the UK Medical Research Council and by a European Research Council Starting Grant (NK).  ... 
doi:10.1016/j.neuroimage.2012.02.078 pmid:22421051 fatcat:ffmak3boifgtxhdnmz5tr5aybm

Diagnostic Classification of Schizophrenia Patients on the Basis of Regional Reward-Related fMRI Signal Patterns

Stefan P. Koch, Claudia Hägele, John-Dylan Haynes, Andreas Heinz, Florian Schlagenhauf, Philipp Sterzer, Adam J Schwarz
2015 PLoS ONE  
(MVPA) of regional functional magnetic resonance imaging (fMRI) activation patterns for the anticipation of monetary reward.  ...  These results show that MVPA can be used to substantially increase the accuracy of diagnostic classification on the basis of task-related fMRI signal patterns in a regionally specific way.  ...  An approach that can be used to overcome these difficulties is the use of multivariate pattern analysis (MVPA), which can dramatically increase the sensitivity of human brain imaging by accumulating information  ... 
doi:10.1371/journal.pone.0119089 pmid:25799236 pmcid:PMC4370557 fatcat:jvqevyh2cra2hb2i2ehg2yombq

Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? [article]

Aditi Jha, Sumeet Agarwal
2019 arXiv   pre-print
In particular, our results suggest that a typical DNN representation contains encoding of compositional information for human-object interactions which goes beyond a linear combination of the encodings  ...  We also map features from the DNN to the regions, thus linking the DNN representations to those found in specific parts of the visual cortex.  ...  We seek to predict the BOLD (fMRI) responses of individual voxels in these regions upon seeing human/object/interacting images from the finallayer DNN representations of the same images.  ... 
arXiv:1904.00431v1 fatcat:pjtgsasebrhh5omnhcmqty2zvi

Decoding Patterns of Human Brain Activity

Frank Tong, Michael S. Pratte
2012 Annual Review of Psychology  
What does successful decoding reveal about the cognitive functions performed by a brain region?  ...  Considerable information about mental states can be decoded from noninvasive measures of human brain activity.  ...  • Decoding Patterns of Human Brain Activity  ... 
doi:10.1146/annurev-psych-120710-100412 pmid:21943172 pmcid:PMC7869795 fatcat:lern4jlb2neivhadjjjzea5jcq

Spatio-temporal dynamics of face perception

I. Muukkonen, K. Ölander, J. Numminen, V.R. Salmela
2020 NeuroImage  
In fMRI, the model comparisons revealed change along the processing hierarchy, from low-level visual feature coding in V1 to coding of intensity of expressions in the right TPOJ.  ...  The results highlight the importance of a multimodal approach for understanding the functional roles of different brain regions in face processing.  ...  Acknowledgements This work was supported by an Academy of Finland grant to VRS (grant number 298329). Appendix A.  ... 
doi:10.1016/j.neuroimage.2020.116531 pmid:31931156 fatcat:tu6xv6rhx5cu7ppmdrz7cnitwa

A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives

John-Dylan Haynes
2015 Neuron  
This work was supported by the Bernstein Computational Neuroscience Program of the German Federal Ministry of Education and Research (grant reference 01GQ1001C); the Deutsche Forschungsgemeinschaft (DFG  ...  ACKNOWLEDGMENTS The author thanks Carsten Allefeld, Carsten Bogler, Thomas Christophel, Radoslaw Cichy, Kai Gö rgen, Kerstin Ritter, Philipp Sterzer, and Martin Weygandt for valuable comments on the manuscript  ...  Also, the sensitivity of fMRI to neural activity in different brain regions might be quite variable, which is known as the local hemodynamic response efficiency (Logothetis and Wandell, 2004) .  ... 
doi:10.1016/j.neuron.2015.05.025 pmid:26182413 fatcat:kyet5bhzlffqvcxy43dogt3ote

Real-time fMRI-based Brain Computer Interface: A Review [article]

Yang Wang, Dongrui Wu
2018 arXiv   pre-print
Among them, the functional magnetic resonance imaging (fMRI), which has high spatial resolution, acceptable temporal resolution, simple calibration, and short preparation time, has been widely used in  ...  In recent years, the rapid development of neuroimaging technology has been providing many powerful tools for cognitive neuroscience research.  ...  Both structural and functional brain signals are related to mental states and traits, which could potentially be used to reveal sensitive private information [6] .  ... 
arXiv:1808.05852v1 fatcat:loqn5vmpujgsdkfkxbpe6yfewa

Dynamic and Static Amplitude of Low-Frequency Fluctuation Is a Potential Biomarker for Predicting Prognosis of Degenerative Cervical Myelopathy Patients: A Preliminary Resting-State fMRI Study

Ningjian Fan, Bing Zhao, LiYun Liu, WeiZhen Yang, Xian Chen, ZhanBin Lu
2022 Frontiers in Neurology  
of brain functional alterations in degenerative cervical myelopathy (DCM) patients.MethodsVoxel-wise sALFF and dALFF of 47 DCM patients and 44 healthy controls were calculated using resting-state fMRI  ...  These regions were mainly located at the frontal lobe and temporal lobe.ConclusionIn summary, sALFF and dALFF can be used to accurately reveal brain functional alterations in DCM patients.  ...  Sensitivity maps for each fold were generated. In these maps, the value of each voxel represented its weight in the SVM model.  ... 
doi:10.3389/fneur.2022.829714 pmid:35444605 pmcid:PMC9013796 fatcat:gndtm2r6mveujjyrd626lwkw2m

Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder

Xuan Bu, Xinyu Hu, Lianqing Zhang, Bin Li, Ming Zhou, Lu Lu, Xiaoxiao Hu, Hailong Li, Yanchun Yang, Wanjie Tang, Qiyong Gong, Xiaoqi Huang
2019 Translational Psychiatry  
The application of SVM to rs-fMRI features may provide potential power for OCD classification.  ...  Overall, the classification accuracies were acceptable for the four rs-fMRI parameters.  ...  Acknowledgements This study was supported by the National Natural Science Conflict of interest The authors declare that they have no conflict of interest.  ... 
doi:10.1038/s41398-018-0362-9 pmid:30655506 pmcid:PMC6336781 fatcat:mq5p343z2besvo445jsovlgfja

Combined Intrinsic Local Functional Connectivity With Multivariate Pattern Analysis to Identify Depressed Essential Tremor

Xueyan Zhang, Li Tao, Huiyue Chen, Xiaoyu Zhang, Hansheng Wang, Wanlin He, Qin Li, Fajin Lv, Tianyou Luo, Jin Luo, Yun Man, Zheng Xiao (+2 others)
2022 Frontiers in Neurology  
BackgroundAlthough depression is one of the most common neuropsychiatric symptoms in essential tremor (ET), the diagnosis biomarker and intrinsic brain activity remain unclear.  ...  HCs, and depressed ET vs. non-depressed ET, and the sensitivity for them at 80.49, 76.64, and 80.49%, respectively. The significant discriminative features of depressed ET vs.  ...  help to reveal the spatial distribution changes of local brain connectivity in depressed ET patients.  ... 
doi:10.3389/fneur.2022.847650 pmid:35620789 pmcid:PMC9127760 fatcat:3ii5z4zpofcs7jtluedj5sssci
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