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Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions

P. Tewarie, M.G. Bright, A. Hillebrand, S.E. Robson, L.E. Gascoyne, P.G. Morris, J. Meier, P. Van Mieghem, M.J. Brookes
2016 NeuroImage  
Predicting haemodynamic networks using electrophysiology The role of non-linear and cross-frequency interactions Tewarie, P.; Bright, M.G.; Hillebrand, A.; Robson, S.E.; Gascoyne, L.E.; Morris, P.G.; Meier  ...  We show that including non-linear interactions, multiple frequency bands and cross-frequency terms significantly improves fMRI network prediction.  ...  This framework allowed us to integrate MEG data from multiple frequency bands and connectivity metrics, together with linear and non-linear interaction terms, to predict fMRI networks.  ... 
doi:10.1016/j.neuroimage.2016.01.053 pmid:26827811 pmcid:PMC4819720 fatcat:ctohifi7s5ahznmolxi3q5x26m

Relationships between cortical myeloarchitecture and electrophysiological networks

Benjamin A. E. Hunt, Prejaas K. Tewarie, Olivier E. Mougin, Nicolas Geades, Derek K. Jones, Krish D. Singh, Peter G. Morris, Penny A. Gowland, Matthew J. Brookes
2016 Proceedings of the National Academy of Sciences of the United States of America  
The human brain relies upon the dynamic formation and dissolution of a hierarchy of functional networks to support ongoing cognition.  ...  Building upon recent evidence that neural oscillations mediate connectivity, we use magnetoencephalography to elucidate networks that represent the major electrophysiological pathways of communication  ...  Tewarie P, et al. (2016) Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions. Neuroimage 130:273-292. 32.  ... 
doi:10.1073/pnas.1608587113 pmid:27830650 pmcid:PMC5127325 fatcat:tss44bits5gyfoxtezah3nua4i

Dynamics of large-scale electrophysiological networks: A technical review

George C. O'Neill, Prejaas Tewarie, Diego Vidaurre, Lucrezia Liuzzi, Mark W. Woolrich, Matthew J. Brookes
2018 NeuroImage  
However, the BOLD response is only a proxy for brain activity, and the sluggish nature of this haemodynamic signal can obfuscate rapid neuronal dynamics. fMRI has been used to study the dynamics of functional  ...  In particular, non-invasive electrophysiological data (magnetoencephalography / electroencephalography (MEG/EEG)), which provides direct measurement of whole-brain activity and rich temporal information  ...  The interaction between quantitative predictions of a theory and experiments allows one to 780 assess the error of the theoretical predictions.  ... 
doi:10.1016/j.neuroimage.2017.10.003 pmid:28988134 fatcat:dviqbyt4azeltkopeadr7sieka

Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods

George C O'Neill, Eleanor L Barratt, Benjamin A E Hunt, Prejaas K Tewarie, Matthew J Brookes
2015 Physics in Medicine and Biology  
In this paper we discuss measurement of network connectivity using magnetoencephalography (MEG), a technique capable of imaging electrophysiological brain activity with good (~5mm) spatial resolution and  ...  We highlight the principal findings of the techniques discussed, and furthermore, we show evidence that this method can probe how the brain forms and dissolves multiple transient networks on a rapid timescale  ...  Acknowledgements We would like to acknowledge the Medical Research Council (MRC) and University of Nottingham  ... 
doi:10.1088/0031-9155/60/21/r271 pmid:26447925 fatcat:igdd6wljdzamllba3mxojwcdaa

Early electrophysiological diagnosis of ICU-acquired weakness

L Wieske, C Verhamme, E Witteveen, A Bouwes, MJ Schultz, IN Van Schaik, J Horn
2014 Critical Care  
On each occasion the Limpet photographed the 'thief' and recorded the date and time of access.  ...  New procedures were introduced, which included a standardised prescription sticker, with common, preprinted, infusion prescriptions on (noradrenaline, propofol, and so forth), and education on using the  ...  References The 28-day survival rates were 73.3%, 40% and 16%, respectively. Conclusion PDF may be a useful blood purifi cation therapy for ALF, but PDF should be performed below a MELD score of 30.  ... 
doi:10.1186/cc13657 pmcid:PMC4069554 fatcat:ubgaygtey5eyhbk4xlfb5l4mme

Neuroplasticity of language in left-hemisphere stroke: Evidence linking subsecond electrophysiology and structural connections

Vitória Piai, Lars Meyer, Nina F. Dronkers, Robert T. Knight
2017 Human Brain Mapping  
We combined behavioral and electrophysiological measures and structural-connectivity estimates to characterize neuroplasticity underlying successful compensation of language abilities after left-hemispheric  ...  Our findings suggest that incorporating direct measures of neural activity into investigations of neuroplasticity can provide important neural markers to help predict language recovery, assess the progress  ...  design the materials, Paige Mumford and Laura Agee for help with audio recordings, Colin Hoy for help with image processing, and the members of the Center for Aphasia and Related Disorders at the VAHCS  ... 
doi:10.1002/hbm.23581 pmid:28345282 pmcid:PMC5610921 fatcat:tmgqw6jx6jf5vf3vwymp3snwxm

Do Anti-inflammatory Agents Promote Linear Ablation Lesion Discontinuities? An Electrophysiological Examination

K. Noonan, P. Martin, A. Scott, G. Kuhn, S. Neumann
2011 Heart, Lung and Circulation  
The anti-fibrotic role of statins in reducing AF is being assessed in current trials. By reducing the chronic pathological fibrosis that occurs in AF they may reduce AF.  ...  At initial electrophysiological study (EPS1) 3D right atrium (RA) mapping and a vertical ablation linear lesion in the posterior RA with bidirectional conduction block were completed (Gepstein Circ 1999  ...  These values were analysed via a linear mixed model that assessed the main effects of groups and TP variance and the interaction between groups and TP through SPSS.  ... 
doi:10.1016/j.hlc.2011.05.229 fatcat:uipsilmfqrdklm6hoe4hqdnvxi

Dynamic causal modelling revisited

K.J. Friston, Katrin H. Preller, Chris Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman
2017 NeuroImage  
What is the relationship between haemodynamic responses and the frequency of induced neuronal activity?  ...  In principle, this allows the fusion of haemodynamic and (event related or induced) electrophysiological responses.  ...  The generation of predicted spectral or induced responses inherits the procedures used in DCM for cross spectral density .  ... 
doi:10.1016/j.neuroimage.2017.02.045 pmid:28219774 pmcid:PMC6693530 fatcat:dpkawcek4nbndkwsq5pehtle4a

Exploring the network dynamics underlying brain activity during rest

Joana Cabral, Morten L. Kringelbach, Gustavo Deco
2014 Progress in Neurobiology  
allow the detection of fast non-linear interactions.  ...  Hlinka and colleagues defined functional connectivity matrices using both linear (Pearson correlation) and non-linear functional connectivity measures and evaluated the resulting networks using graph theory  ... 
doi:10.1016/j.pneurobio.2013.12.005 pmid:24389385 fatcat:caytdquplvahzfh4cssjdula7y

Neuronal correlates of functional magnetic resonance imaging in human temporal cortex

George A. Ojemann, David P. Corina, Neva Corrigan, Julie Schoenfield-McNeill, Andrew Poliakov, Leona Zamora, Stavros Zanos
2009 Brain  
same paired associate-control comparisons and multiple linear regressions of the electrophysiologic measures on the functional magnetic resonance imaging signal, across all tasks.  ...  analysis and 16-23 Hz in the multiple linear regression analysis.  ...  Acknowledgements The authors thank E. Lettich for assistance in the intraoperative recordings, C. Wendelken in fMRI analysis and S. Hakimian for advice on the study and manuscript  ... 
doi:10.1093/brain/awp227 pmid:19773355 pmcid:PMC2801320 fatcat:i4v77txgcrbtng7boebhqrof6u

Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside

A.L. Goldberger
1996 The Lancet  
This reductionist strategy fails because the components of a non-linear network interact-ie, they are coupled.  ...  The magnitude of their responses is proportionate to the strength of the stimuli. Further, linear systems can be fully understood and predicted by dissecting out their components.  ...  Supported in part by grants from the National Aeronautics and Space Administration and the G Harold and LeilaY Mathers Charitable Foundation.  ... 
doi:10.1016/s0140-6736(96)90948-4 pmid:8622511 fatcat:rxwy3jwdw5d2tdiagbcctfwpzi

Two spatiotemporally distinct value systems shape reward-based learning in the human brain

Elsa Fouragnan, Chris Retzler, Karen Mullinger, Marios G. Philiastides
2015 Nature Communications  
Consistent with a role in reward-based learning, a later system differentially suppresses or activates regions of the human reward network in response to negative and positive outcomes, respectively.  ...  Critically, the strength of this coupling predicts participants' switching behaviour and avoidance learning, directly implicating the thalamostriatal pathway in reward-based learning.  ...  We also thank Philippe Schyns, Giorgio Coricelli, Sebastien Bouret, Douglas Steele, Robin Ince and Ioannis Delis for helpful comments on earlier versions of the manuscript.  ... 
doi:10.1038/ncomms9107 pmid:26348160 pmcid:PMC4569710 fatcat:xwqkcror6bffromfiinn5eiriq

Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches

C. Grefkes, G. R. Fink
2011 Brain  
The motor system comprises a network of cortical and subcortical areas interacting via excitatory and inhibitory circuits, thereby governing motor behaviour.  ...  The balance within the motor network may be critically disturbed after stroke when the lesion either directly affects any of these areas or damages-related white matter tracts.  ...  However, the sensitivity of measures of functional connectivity highly depends on the frequency specificity of coupling and whether such coupling is linear or non-linear.  ... 
doi:10.1093/brain/awr033 pmid:21414995 pmcid:PMC3097886 fatcat:tva6f2du75fg7jwp75vg7b4wz4

A systematic framework for functional connectivity measures

Huifang E. Wang, Christian G. Bénar, Pascale P. Quilichini, Karl J. Friston, Viktor K. Jirsa, Christophe Bernard
2014 Frontiers in Neuroscience  
Finally, we assessed the performance of the methods against different levels of signal-to-noise ratios and network configurations.  ...  Since different measures of functional connectivity yield different results for the same dataset, it is important to assess when and how they can be used.  ...  Valdés-Sosa, Fabrice Wendling, Marmaduke Woodman, Mathieu Golos for helpful discussions, and Andrea Brovelli for useful discussions and technical help.  ... 
doi:10.3389/fnins.2014.00405 pmid:25538556 pmcid:PMC4260483 fatcat:ehfzt5xymrhrbhcr4qmypkfhhm

Cross-species neuroscience: closing the explanatory gap

Helen C. Barron, Rogier B. Mars, David Dupret, Jason P. Lerch, Cassandra Sampaio-Baptista
2020 Philosophical Transactions of the Royal Society of London. Biological Sciences  
This article is part of the theme issue 'Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity'.  ...  To close the explanatory gap, we propose adopting a cross-species approach. Despite dramatic differences in the size of mammalian brains, this approach is broadly justified by preserved homology.  ...  Peter Brown for comments on a previous version of the manuscript.  ... 
doi:10.1098/rstb.2019.0633 pmid:33190601 pmcid:PMC7116399 fatcat:ed67np4auvcqpjqorgxawazlcy
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