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Magnetoencephalographic and functional MRI connectomics in schizophrenia via intra- and inter-network connectivity

Jon M. Houck, Mustafa S. Çetin, Andrew R. Mayer, Juan R. Bustillo, Julia Stephen, Cheryl Aine, Jose Cañive, Nora Perrone-Bizzozero, Robert J. Thoma, Matthew J. Brookes, Vince D. Calhoun
2017 NeuroImage  
Group spatial ICA was performed on fMRI and MEG data to extract intrinsic fMRI and MEG networks and to compensate for signal leakage in MEG.  ...  This is the first study to apply group spatial ICA as an approach to leakage correction, and as such our results may be biased by spatial leakage effects.  ...  Acknowledgments Research reported in this publication was supported by the National Institute for Research Resources, National Institute of General Medical Sciences, and National Institute on Alcohol Abuse  ... 
doi:10.1016/j.neuroimage.2016.10.011 pmid:27725313 pmcid:PMC5179295 fatcat:i64ogjaegrfjbogvomt33ck7km

Multimodal mapping of the brain's functional connectivity and the adult outcome of attention deficit hyperactivity disorder

Gustavo Sudre, Eszter Szekely, Wendy Sharp, Steven Kasparek, Philip Shaw
2017 Proceedings of the National Academy of Sciences of the United States of America  
The anomalies in functional connectivity tied to clinically significant inattention centered on midline regions of the DMN in both MEG and fMRI, boosting confidence in a possible pathophysiological role  ...  Usually, this is accomplished by mapping correlated patterns of changes in the blood oxygenation leveldependent (BOLD) signal detected by functional MRI (fMRI).  ...  Usually, this is accomplished by mapping correlated patterns of changes in the blood oxygenation leveldependent (BOLD) signal detected by functional MRI (fMRI).  ... 
doi:10.1073/pnas.1705229114 pmid:29078281 pmcid:PMC5676882 fatcat:fgcn6qnqsjeihk5d4g6kwcmxqq

Applications of Resting State Functional MR Imaging to Traumatic Brain Injury

Thomas J. O'Neill, Elizabeth M. Davenport, Gowtham Murugesan, Albert Montillo, Joseph A. Maldjian
2017 Neuroimaging clinics of North America  
Functional magnetic resonance imaging (fMRI), both resting state (rs)and task, has been used often in research to study the effects of TBI.  ...  Specifically, graph theory is being used to study the change in networks after TBI.  ...  As neuronal activity increases in an area of the brain, hemodynamic responses cause an overcompensation of blood flow to the region resulting in increased signal from a local change in the deoxy:oxy hemoglobin  ... 
doi:10.1016/j.nic.2017.06.006 pmid:28985937 pmcid:PMC5708891 fatcat:ezly36sgtjc4ziua2bgcr2v7ci

Validation of SOBI components from high-density EEG

Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney
2005 NeuroImage  
Previously, SOBI, as well as other BSS algorithms, has been applied to magnetoencephalography (MEG) and electroencephalography (EEG) data.  ...  In this paper, using both known noise sources and highly constrained and well-characterized neuronal sources, we provide validation for SOBI decomposition of high-density EEG data.  ...  This work was funded by grants from DARPA Augmented Cognition Program (ONR: N00014-02-1-0348) and the Mind Institute (#2021) to A.C.T.  ... 
doi:10.1016/j.neuroimage.2004.11.027 pmid:15784433 fatcat:3uh5ol6nvvbwzfeh2vilhobt24

Perceptual Mechanisms of Visual Hallucinations and Illusions in Psychosis

2020 Journal of Psychiatry and Brain Science  
By deriving cortical source signals from MEG and MRI data, we will characterize the timing, location and coordination of neural processes.  ...  SibIPDs who experience visual distortions-but not hallucinations-are hypothesized to exhibit deficits in higher-order visual processing reflected in abnormal inter-regional neural synchronization.  ...  APPROACH Overall Structure This is an R01 currently in its third year. Dr.  ... 
doi:10.20900/jpbs.20200020 pmid:32944656 pmcid:PMC7494209 fatcat:2vrcphmzjnfnboboatxkhf7rse

Magnetoencephalography: Fundamentals and Established and Emerging Clinical Applications in Radiology

Sven Braeutigam
2013 ISRN Radiology  
brain function in patients preparing to undergo brain surgery.  ...  This review provides an introduction to magnetoencephalography, discusses relevant analytical techniques, and presents recent developments in established and emerging clinical applications such as pervasive  ...  The author wishes to thank Banu Ahtam, Morten Kringelbach, and Hamid Mohseni for advice on the paper, and the author thanks Clare O'Donoghue for help with Figure 1 .  ... 
doi:10.5402/2013/529463 pmid:24967282 pmcid:PMC4045536 fatcat:oqeuvdmen5ft5mgkjwbberqtwm

Brain Connectivity Analysis: A Short Survey

E. W. Lang, A. M. Tomé, I. R. Keck, J. M. Górriz-Sáez, C. G. Puntonet
2012 Computational Intelligence and Neuroscience  
The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments.  ...  Future studies have to bridge the gap between anatomical neuronal connections and related functional or effective connectivities.  ...  The results showed that the detected disease-related differences in functional connectivity alter as a function of ICA model order.  ... 
doi:10.1155/2012/412512 pmid:23097663 pmcid:PMC3477528 fatcat:zlwqwx6n7feefdrfx5pnhhbmhe

The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults

Kamen A. Tsvetanov, Richard N. A. Henson, Lorraine K. Tyler, Simon W. Davis, Meredith A. Shafto, Jason R. Taylor, Nitin Williams, Cam-CAN, James B. Rowe
2015 Human Brain Mapping  
The resting-state fluctuation amplitude (RSFA) in the fMRI signal (rsfMRI) has been proposed as an index of vascular reactivity.  ...  As factors such as age or medication may alter vascular function, it is essential to account for changes in neurovascular coupling when investigating neurocognitive functioning with fMRI.  ...  We are grateful to the Cam-CAN respondents and their primary care teams in Cambridge for their participation in this study. We also thank colleagues at the MRC Cognition and Brain Sciences Unit  ... 
doi:10.1002/hbm.22768 pmid:25727740 pmcid:PMC4730557 fatcat:wy2oe2gktvdkthgbaghjbslh6y

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis [article]

Pranali Kokate, Sidharth Pancholi, Amit M. Joshi
2021 arXiv   pre-print
As a result, intra-subject accuracy was obtained for 9 subjects 94.72%. The results show that the proposed approach would be useful to classify the upper limb movements accurately.  ...  In addition to accuracy, Precision, F1-Score, and recall was considered as the performance metrics.  ...  A precise superconducting quantum interference device (SQUID) is used to detect and record magnetic signals in MEG.  ... 
arXiv:2107.08514v1 fatcat:4aijbhssk5dejehq2uuvx4527e

Increased cerebral functional connectivity in ALS

Malcolm Proudfoot, Giles L. Colclough, Andrew Quinn, Joanne Wuu, Kevin Talbot, Michael Benatar, Anna C. Nobre, Mark W. Woolrich, Martin R. Turner
2018 Neurology  
We sought to assess cortical function in amyotrophic lateral sclerosis (ALS) using noninvasive neural signal recording.  ...  A seed-based approach detected increased FC, notably cerebrocerebellar, 30 while an ICA-based approach detected increased FC in the sensorimotor network (that corresponded to structural pathology) and  ...  No difference in increases in FC was noted in the AGCs, affecting an overlapping spatial distribution. No edges showed decreased FC relative to age-matched healthy controls.  ... 
doi:10.1212/wnl.0000000000005333 pmid:29661904 pmcid:PMC5902786 fatcat:eacxb6znxjbuzorobhfpnluzga

Pain-Related Brain Connectivity Changes in Migraine: A Narrative Review and Proof of Concept about Possible Novel Treatments Interference

Marina de Tommaso, Eleonora Vecchio, Silvia Giovanna Quitadamo, Gianluca Coppola, Antonio Di Renzo, Vincenzo Parisi, Marcello Silvestro, Antonio Russo, Gioacchino Tedeschi
2021 Brain Sciences  
Advanced neuroimaging techniques allow to identify changes in functional connectivity (FC) between brain areas involved in pain processes.  ...  mediators, modulating in turn neuronal activity.  ...  [81] used MEG to detect the possible change in functional connectivity during median nerve stimulation in the interictal state of 22 migraine patients and 22 controls.  ... 
doi:10.3390/brainsci11020234 pmid:33668449 fatcat:wyfjkt7mgvdw3a5dphscum2uyi

Editorial: Recent Advances and Challenges on Big Data Analysis in Neuroimaging

Jian Kang, Brian Caffo, Han Liu
2016 Frontiers in Neuroscience  
AUTHOR CONTRIBUTIONS All authors contributed equally to this content. FUNDING BC was supported by NIH grants RO1 EB012547 and P41 EB015909 and JK was supported by NIH R01MH105561.  ...  They adopted resampling based methods to improve the power for detecting the differences in multi-subject functional connectivity. Adopting an alternative modeling approach for the brain network.  ...  In addition to the systematic statistical approaches for analysis of big neuroimaging, we also include an exploratory data analysis approach to EEG data: The functional boxplots approach.  ... 
doi:10.3389/fnins.2016.00505 pmid:27895547 pmcid:PMC5108778 fatcat:ljg6e62ig5gndgjp4lg32jivk4

Exploring the network dynamics underlying brain activity during rest

Joana Cabral, Morten L. Kringelbach, Gustavo Deco
2014 Progress in Neurobiology  
Detection of resting-state patterns using MEG Perhaps the first study dedicated to investigate the neuronal correlates of resting BOLD signal using MEG was performed by Nikouline and colleagues in 2001  ...  Fig. 4 . 4 Comparison of brain networks obtained using ICA independently on MEG and fMRI data.  ... 
doi:10.1016/j.pneurobio.2013.12.005 pmid:24389385 fatcat:caytdquplvahzfh4cssjdula7y

Frequency-Aware Summarization of Resting-State fMRI Data

Maziar Yaesoubi, Rogers F. Silva, Armin Iraji, Vince D. Calhoun
2020 Frontiers in Systems Neuroscience  
Applying this approach to fMRI data provides evidence of existing cross-frequency functional connectivity between different areas of the brain.  ...  ICA transforms the original data into a relatively small number of interpretable bases in voxel space (referred to as ICA spatial components, or spatial maps) and corresponding bases in the time domain  ...  ACKNOWLEDGMENTS We need to thank MRN investigators who collected the data.  ... 
doi:10.3389/fnsys.2020.00016 pmid:32317942 pmcid:PMC7154153 fatcat:ju3klpfh7zafpbvixspaepldd4

Dynamic Functional Network Connectivity In Schizophrenia With MEG And fMRI, Do Different Time Scales Tell A Different Story? [article]

Lori Sanfratello, Jon M. Houck, Vince D. Calhoun
2018 bioRxiv   pre-print
The MEG dFNC, in contrast, revealed group differences in more global statistics: SP changed between meta-states (k-means cluster states that are allowed to overlap in time) significantly more often and  ...  The MEG analysis utilized a source-space activity estimate (MNE/dSPM) whose result was the input to a spatial ICA, on which the networks of the MEG dFNC was based.  ...  In addition, were this the case we would argue that many more than 3 viable states would have been detected in the 1 min of MEG data analyzed.  ... 
doi:10.1101/432385 fatcat:3ukrbjkn5nf4piggqhlpas2zjy
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