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Review of methods for functional brain connectivity detection using fMRI

Kaiming Li, Lei Guo, Jingxin Nie, Gang Li, Tianming Liu
2009 Computerized Medical Imaging and Graphics  
From our perspective, these computational methods are classified into two general categories: model-driven methods and data-driven methods.  ...  A variety of methods for fcMRI study have been proposed. This paper intends to provide a technical review on computational methodologies developed for fcMRI analysis.  ...  There are generally two types of data-driven methods for functional connectivity detection.  ... 
doi:10.1016/j.compmedimag.2008.10.011 pmid:19111443 pmcid:PMC2724763 fatcat:rwdt2pi6o5dfvozmubhlcfqqre

Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining

Hadeel K. Aljobouri, Hussain A. Jaber, Orhan M. Koçak, Oktay Algin, Ilyas Çankaya
2018 Journal of Neuroscience Methods  
method in detecting active areas within the expected auditory cortices. • Results show that the fMRI application of the presented RGNG approach is clearly superior to other approaches in terms of its  ...  Results: The fMRI result obtained by running RGNG was within the expected outcome and is similar to those found with the hypothesis method in detecting active areas within the expected auditory cortices  ...  Data-driven methods, in contrast, have the ability to count all of the voxels simultaneously, define the active zones and find structures in the brain and fMRI data competently without previous knowledge  ... 
doi:10.1016/j.jneumeth.2018.02.007 pmid:29471065 fatcat:ggdvq34lbbcmvb536wn3gbut5i

Spontaneous EEG-Functional MRI in Mesial Temporal Lobe Epilepsy: Implications for the Neural Correlates of Consciousness

Zheng Wang, Loretta Norton, R. Matthew Hutchison, John R. Ives, Seyed M. Mirsattari
2012 Epilepsy Research and Treatment  
Following a short summary of the hardware and software development of simultaneous EEG-fMRI, this paper reviews a unified framework of integrating neuronal and hemodynamic processes during epileptic seizures  ...  The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been shown to have great potential for providing a greater understanding of normal and diseased states  ...  McKeown has proposed a hybrid method which can gracefully navigate from a fully data-driven approach to a fully model-driven approach [74] .  ... 
doi:10.1155/2012/385626 pmid:22957230 pmcid:PMC3420502 fatcat:axi7owcbqzb4hfchdi7mqob7x4

Dissection of brain-wide resting-state and functional somatosensory circuits by fMRI with optogenetic silencing

Won Beom Jung, Haiyan Jiang, Soohyun Lee, Seong-Gi Kim
2022 Proceedings of the National Academy of Sciences of the United States of America  
fMRI data.  ...  To achieve this goal, we combined brain-wide fMRI with neuronal silencing in well-defined regions.  ...  This project was funded by the Institute for Basic Science in Korea (IBS-R015-D1) and the NIH in the United States (NIH IRP ZIAMH002959).  ... 
doi:10.1073/pnas.2113313119 pmid:35042795 pmcid:PMC8795561 fatcat:ag6ez4x3k5dajcmi47t73hg77m

Potential clinical applications for spinal functional MRI

Jennifer Kornelsen, Sean Mackey
2007 Current Pain and Headache Reports  
Functional MRI (fMRI) of the spinal cord is a noninvasive technique for obtaining information regarding spinal cord neuronal function.  ...  This article provides a brief overview of recent developments in spinal cord fMRI and outlines potential applications, as well as the limitations that must be overcome, for using spinal fMRI in the clinic  ...  Thus, spinal fMRI detects neuronal activity in spinal cord gray matter, which allows for mapping of spinal cord responses to sensory and motor stimulation.  ... 
doi:10.1007/s11916-007-0186-4 pmid:17504642 pmcid:PMC2914611 fatcat:ryilrrissfcjjfn45ehazhodz4

Sparse Representation of Group-Wise FMRI Signals [chapter]

Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu
2013 Lecture Notes in Computer Science  
Our work demonstrated that sparse representation of group-wise fMRI signals is naturally suitable and effective in recovering population codes of neuronal signals conveyed in fMRI data.  ...  In this paper, we present a novel group-wise sparse representation of task-based fMRI signals from multiple subjects via dictionary learning methods.  ...  For instance, a data-driven sparse coding fMRI analysis approach with K-SVD method and general linear model were developed to extract more accurate individually adaptive activation patterns in [6] .  ... 
doi:10.1007/978-3-642-40760-4_76 fatcat:3tp2h3mj2jbcrfpf6isykcdsna

Spikes, BOLD, Attention, and Awareness: A comparison of electrophysiological and fMRI signals in V1

G. M. Boynton
2011 Journal of Vision  
neuronal population averaged across a small region in space and a brief period in time.  ...  Early fMRI studies comparing results from fMRI and electrophysiological experiments support the notion that the blood oxygen level-dependent (BOLD) signal reliably follows the spiking activity of an underlying  ...  The author would like to thank Paola Binda, Scott Murray, and Ione Fine for helpful insights and discussion.  ... 
doi:10.1167/11.5.12 pmid:22199162 pmcid:PMC4124818 fatcat:zqsyblvbbncwlk6cilrmye7mj4

A parallel framework for simultaneous EEG/fMRI analysis: Methodology and simulation

Xu Lei, Chuan Qiu, Peng Xu, Dezhong Yao
2010 NeuroImage  
Concurrent EEG/fMRI recordings represent multiple, simultaneously active, regionally overlapping neuronal mass responses.  ...  To address the problems caused by the overlapping nature of these responses, we propose a parallel framework for Spatial-Temporal EEG/fMRI Fusion (STEFF).  ...  Conversely, the column I (respectively II) denotes the subspace of neuronal activity detected by EEG (or fMRI) that does not contribute to fMRI (or EEG) measurements.  ... 
doi:10.1016/j.neuroimage.2010.01.024 pmid:20083208 fatcat:muwcsd2bkfeezbolvqololjsge

Mapping optogenetically-driven single-vessel fMRI with concurrent neuronal calcium recordings in the rat hippocampus

Xuming Chen, Filip Sobczak, Yi Chen, Yuanyuan Jiang, Chunqi Qian, Zuneng Lu, Cenk Ayata, Nikos K. Logothetis, Xin Yu
2019 Nature Communications  
in animal models and the translation to critical neurovascular coupling (NVC) patterns for human fMRI.  ...  We simultaneously acquired optogenetically-driven neuronal Ca2+ signals with single-vessel blood-oxygen-level-dependent (BOLD) and cerebral-blood-volume (CBV)-fMRI from individual venules and arterioles  ...  Buckenmaier for technical support; Dr. E. Weiler, Dr. P. Douay, Mrs. R. König, Ms. S. Fischer, and Ms. H. Schulz for animal/lab maintenance and support; the AFNI team for software support.  ... 
doi:10.1038/s41467-019-12850-x pmid:31748553 pmcid:PMC6868210 fatcat:mdvmd3ybxbgcxgcvp7rqvfig5q

A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition

Gopikrishna Deshpande, D. Rangaprakash, Luke Oeding, Andrzej Cichocki, Xiaoping P. Hu
2017 Frontiers in Neuroscience  
Our novel data-driven method is likely to discover latent linkages between electrical and hemodynamic signatures of neural activity hitherto unexplored using model-driven methods, and is likely to serve  ...  We propose a new approach for transferring the capabilities of fMRI to EEG, which includes simultaneous EEG/fMRI sessions for finding a mapping from EEG to fMRI, followed by a BCI run from only EEG data  ...  On a theoretical level, the proposed data-driven method will likely discover latent linkages between electrical and hemodynamic signatures of neural activity hitherto unexplored using model-driven methods  ... 
doi:10.3389/fnins.2017.00246 pmid:28638316 pmcid:PMC5461249 fatcat:4qeis3b7tfdfdeaeuiozh6ek6i

Attention shifts the language network reflecting paradigm presentation

Kathrin Kollndorfer, Julia Furtner, Jacqueline Krajnik, Daniela Prayer, Veronika Schöpf
2013 Frontiers in Human Neuroscience  
Objectives: Functional magnetic resonance imaging (fMRI) is a reliable and non-invasive method with which to localize language function in pre-surgical planning.  ...  Methods: Ten healthy subjects participated in an fMRI study comprising two experiments with visual and auditory stimulus presentation.  ...  ACKNOWLEDGMENTS The authors thank the subjects for their participation and Thomas Schlegl for his support in analyzing eye-tracking data.  ... 
doi:10.3389/fnhum.2013.00809 pmid:24324429 pmcid:PMC3838991 fatcat:elsntd3cs5gnzf2wczhdaj5n7i

Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain: The Annual Progress

Shengyong Chen, Xiaoli Li
2012 Computational and Mathematical Methods in Medicine  
This paper introduces the fundamental principles and summarizes the research progress of the last year for imaging neural activity in the human brain.  ...  The fMRI can not only noninvasively record brain signals without risks of ionising radiation inherent in other scanning methods, such as CT or PET scans, but also record signal from all regions of the  ...  Acknowledgments This work was supported in part by the National Natural Sci-  ... 
doi:10.1155/2012/613465 pmid:22319550 pmcid:PMC3272889 fatcat:ip255j3bkfd6fewhdoj7zt7wdm

Detection of Brain Activity in Functional Magnetic Resonance Imaging Data using Matrix Factorization

Amir A. Khaliq, I.M. Qureshi, Ihsanulhaq Ihsanulhaq, Jawad A. Shah
2013 Research Journal of Applied Sciences Engineering and Technology  
Resonance Imaging (fMRI) data for detection of neuronal activity.  ...  Simulated fMRI data is processed to detect the hidden sources of task related activity, functional activity and artifacts using the proposed MF technique.  ...  This multi-image data is then analyzed for detecting the activated neurons of the brain responsible for the experimental task being performed during the test.  ... 
doi:10.19026/rjaset.5.4237 fatcat:u33h6g5jlfgkdpcw7rb6zwp5ma

Dissection of brain-wide spontaneous and functional somatosensory circuits by fMRI with optogenetic silencing [article]

Won Beom Jung, Haiyan Jiang, Soohyun Lee, Seong-Gi Kim
2021 bioRxiv   pre-print
To further advance functional magnetic resonance imaging (fMRI)-based brain science, it is critical to dissect fMRI activities at a circuit level.  ...  To solve this issue, we propose to combine brain-wide fMRI with neuronal silencing in well-defined regions via temporally specific optogenetic stimulation.  ...  Acknowledgments This project was funded by the Institute for Basic Science in Korea (IBS-R015-D1). We thank Prof.  ... 
doi:10.1101/2021.07.22.453311 fatcat:2eogkdbngfclvohyowz4jbuonq

The role(s) of astrocytes and astrocyte activity in neurometabolism, neurovascular coupling, and the production of functional neuroimaging signals

Chase R. Figley, Patrick W. Stroman
2011 European Journal of Neuroscience  
Data acquired with functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) are often interpreted in terms of the underlying neuronal activity, despite mounting evidence that  ...  For example, astrocytes are known to be critically involved in neurotransmitter uptake and recycling, and empirical data suggests that brain activation increases both oxidative and glycolytic astrocyte  ...  We also wish to acknowledge James Provost (http://www.jamesprovost.com) for helping to prepare Abbreviations ANLSH, astroctyte-neuron lactate shuttle hypothesis; ASL, arterial spin labeling; ATP, adenosine  ... 
doi:10.1111/j.1460-9568.2010.07584.x pmid:21314846 fatcat:o6ex5yhwb5dkxlofovcsyioioe
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