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Transient spectral events in resting state MEG predict individual task responses

R. Becker, D. Vidaurre, A.J. Quinn, R.G. Abeysuriya, O. Parker Jones, S. Jbabdi, M.W. Woolrich
2020 NeuroImage  
This works by learning when transient spectral 'bursts' or events in the resting state tend to reoccur in the task responses.  ...  Our approach can predict individual differences in brain activity and suggests a link between transient spectral events in task and rest that can be captured at the level of individuals.  ...  MWW's research is supported by the NIHR Oxford Health Biomedical Research Centre, by the Wellcome Trust (106183/Z/14/Z), and the MRC UK MEG Partnership Grant (MR/K005464/1).  ... 
doi:10.1016/j.neuroimage.2020.116818 pmid:32276062 pmcid:PMC7116674 fatcat:snbycoss4ndsvdop2h2oghdgm4

Transient spectral events in resting state MEG predict individual time-frequency task responses [article]

Robert Becker, Diego Vidaurre, Andrew J Quinn, Romesh Abeysuriya, Oiwi Parker Jones, Saad Jbabdi, Mark Woolrich
2018 bioRxiv   pre-print
Here, we show that individual differences in the spatio-spectral structure of M/EEG task responses, can, to a reasonable degree, be predicted from individual differences in transient spectral events identified  ...  These findings support the idea that subject-specific transient spectral events in resting-state neural activity are linked to, and predictive of, subject-specific trial-averaged task responses in a wide  ...  events with rich spectral profiles in both rest and task MEG data.  ... 
doi:10.1101/419374 fatcat:7lljaibjf5dq3cl5ree4bspczm

Spontaneous network activity accounts for variability in stimulus-induced gamma responses [article]

Jan Hirschmann, Sylvain Baillet, Alfons Schnitzler, Mark Woolrich, Diego Vidaurre, Esther Florin
2018 bioRxiv   pre-print
The magnetoencephalogram (MEG) of 15 healthy participants was recorded at rest and while they were performing a task involving a visual stimulus inducing strong, narrow-band gamma activity.  ...  Across subjects, the overall probability of visiting this state in the baseline period, i.e. the individual preference for this state, correlated positively with the amplitude of the trial-averaged gamma  ...  ., 2016) and one recent MEG study (Becker et al., 2018) , which demonstrated that resting-state network activity predicts inter-individual differences in task-related brain activity.  ... 
doi:10.1101/381236 fatcat:kcaj4rdlunbbjgxzhvkqjboksi

Spectral signature and behavioral consequence of spontaneous shifts of pupil-linked arousal in human

Ella Podvalny, Leana E King, Biyu J He
2021 eLife  
When dissociated from pupil-linked state, prestimulus spectral power of resting state networks still predicts perceptual behavior.  ...  We simultaneously monitored magnetoencephalography and pupil in healthy volunteers at rest and during a visual perceptual decision-making task.  ...  1D )-we calculated event-related field (ERF) time-locked to fast pupil events in the resting state.  ... 
doi:10.7554/elife.68265 pmid:34463255 pmcid:PMC8486382 fatcat:73igrj5purclziwbbeb6uvf5se

Spontaneous network activity <35 Hz accounts for variability in stimulus-induced gamma responses

Jan Hirschmann, Sylvain Baillet, Mark Woolrich, Alfons Schnitzler, Diego Vidaurre, Esther Florin
2019 NeuroImage  
​Hz) in the absence of stimulation (resting-state and task baseline).  ...  In addition, we demonstrate that modulations of network activity in task baseline influence the gamma response on the level of trials.  ...  MWW is supported by the Wellcome Trust (106183/Z/14/Z) and the MRC UK MEG Partnership Grant (MR/K005464/1).  ... 
doi:10.1016/j.neuroimage.2019.116374 pmid:31759115 pmcid:PMC8111242 fatcat:7ql4yj44ifdcrcruh32hzvhevu

Unpacking Transient Event Dynamics in Electrophysiological Power Spectra

Andrew J. Quinn, Freek van Ede, Matthew J. Brookes, Simone G. Heideman, Magdalena Nowak, Zelekha A. Seedat, Diego Vidaurre, Catharina Zich, Anna C. Nobre, Mark W. Woolrich
2019 Brain Topography  
However, this overlooks the possibility of underlying transient spectral 'bursts' or events whose dynamics can map to changes in trial-average spectral power in numerous ways.  ...  Under this emerging perspective, a key challenge is to perform burst detection, i.e. to characterise single-trial transient spectral events, in a principled manner.  ...  Acknowledgement The authors would like to thank Charlotte Stagg and Emily Hinson for collecting and providing access to the MEG data.  ... 
doi:10.1007/s10548-019-00745-5 pmid:31754933 pmcid:PMC6882750 fatcat:xxh5ce46ajd4lglea3fmoztska

What Electrophysiology Tells Us About Alzheimer's Disease: A Window into the Synchronization and Connectivity of Brain Neurons

Claudio Babiloni, Katarzyna Blinowska, Laura Bonanni, Andrej Cichocki, Willem De Haan, Claudio del Percio, Bruno Dubois, Javier Escudero, Alberto Fernández, Giovanni Frisoni, Bahar Guntekin, Mihaly Hajos (+29 others)
2019 Neurobiology of Aging  
Converging evidence shows relationships between abnormalities in EEG/MEG markers and cognitive deficits in groups of AD patients at different disease stages.  ...  Electrophysiology provides a real-time readout of neural functions and network capability in different brain states, on temporal (fractions of milliseconds) and spatial (micro, meso, and macro) scales  ...  Resting state EEG/MEG rhythms in AD at the individual level EEG Stratification of ADD and MCI individuals is an important step in observational (e.g., prevention studies) and intervention clinical  ... 
doi:10.1016/j.neurobiolaging.2019.09.008 pmid:31739167 fatcat:4qovqzkklfduvane3tuttfnfem

Electrophysiology of Autism [chapter]

Kristina L., Donald C.
2013 Recent Advances in Autism Spectrum Disorders - Volume II  
called the event-related field in MEG , which is a waveform created by averaging brain activity recorded with EEG or MEG across multiple trials of a particular task.  ...  Event-related potentials ERPs , called the event-related field ERF in MEG, are created by averaging the response to stimuli across multiple trials.  ...  Resting-state electrophysiology in ASD One of the most prominent features of resting EEG/MEG in autism is the presence of epileptiform activity.  ... 
doi:10.5772/54770 fatcat:pc6ddtdvjrh6fks3mp5vyj4mq4

Disconnected brains: What is the role of fMRI in connectivity research?

N THAI
2009 International Journal of Psychophysiology  
In addition, we note the importance in clinical studies of considering the consequences of task choice for the nature of the imaging data that can be collected and also of individual differences in participant  ...  state and trait characteristics for the accurate interpretation of imaging data.  ...  Kennedy and Courchesne (2008) further refined this approach by assessing the Task-Negative resting state network (TNN) and the Task-Positive resting state network (TPN).  ... 
doi:10.1016/j.ijpsycho.2008.12.015 pmid:19530277 fatcat:q3hh54ucarbilmus6f2l7dx5ry

Spectrally resolved fast transient brain states in electrophysiological data

Diego Vidaurre, Andrew J. Quinn, Adam P. Baker, David Dupret, Alvaro Tejero-Cantero, Mark W. Woolrich
2016 NeuroImage  
We propose a method that, with no knowledge of any task timings, can simultaneously identify and describe fast transient multiregion dynamics in terms of their temporal, spectral and spatial properties  ...  We demonstrate that this can be used to identify short-lived transient brain states with distinct power and functional connectivity (e.g., coherence) properties in an MEG data set collected during a volitional  ...  We thank George O'Neill and Matt Brookes for providing the MEG data used in our experiments.  ... 
doi:10.1016/j.neuroimage.2015.11.047 pmid:26631815 pmcid:PMC4739513 fatcat:booc75aeqvey3kuenaceqjo2fi

Replay bursts in humans coincide with activation of the default mode and parietal alpha networks

Cameron Higgins, Yunzhe Liu, Diego Vidaurre, Zeb Kurth-Nelson, Ray Dolan, Timothy Behrens, Mark Woolrich
2020 Neuron  
We found, in two separate datasets, that replay sequences were packaged into transient bursts occurring selectively during activation of the default mode network (DMN) and parietal alpha networks.  ...  Our brains at rest spontaneously replay recently acquired information, but how this process is orchestrated to avoid interference with ongoing cognition is an open question.  ...  Spectrally resolved fast transient brain states in electrophysiological data. Neuroimage 126, 81-95.  ... 
doi:10.1016/j.neuron.2020.12.007 pmid:33357412 pmcid:PMC7927915 fatcat:ycug2lla2jahxjhd63iufg3ssa

EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions

Carolina Beppi, Inês Ribeiro Violante, Gregory Scott, Stefano Sandrone
2021 Brain and Cognition  
Several electroencephalography (EEG) and magnetoencephalography (MEG) analysis approaches have been explored and oscillatory properties have been identified, in parallel with the technical and computational  ...  Neural oscillations and their association with brain states and cognitive functions have been object of extensive investigation over the last decades.  ...  in individuals in awake (Davis, 1939) and sleep states .  ... 
doi:10.1016/j.bandc.2020.105677 pmid:33486194 fatcat:c46jjqwninfqjnteu3pmngrrb4

The utility of Magnetoencephalography in Multiple Sclerosis - a Systematic Review

H. Khan, M.B. Sami, V. Litvak
2021 NeuroImage: Clinical  
We find evidence for the utility of MEG in Multiple Sclerosis. Event-related designs are of particular value and show replicability between centres.  ...  Further studies should look to explore cognitive control in more depth using in-task designs and undertake longitudinal studies to determine whether these changes have prognostic value.  ...  (Van Brussels Patients: RRMS, 8 Power at Resting State In subgroup Schependom 90 Progressive frequency bands; analysis use of et al., 2019) Controls: MS Transient State benzodiazepine 46 analysis of medication  ... 
doi:10.1016/j.nicl.2021.102814 pmid:34537682 pmcid:PMC8455859 fatcat:kiw5wkbfrffihobjh5odpi6ajy

Mild traumatic brain injury impairs the coordination of intrinsic and motor-related neural dynamics

Lukas Rier, Rouzbeh Zamyadi, Jing Zhang, Zahra Emami, Zelekha A. Seedat, Sergiu Mocanu, Lauren E. Gascoyne, Christopher M. Allen, John W. Scadding, Paul L. Furlong, Gerard Gooding-Williams, Mark W. Woolrich (+3 others)
2021 NeuroImage: Clinical  
We applied a Hidden Markov Model to MEG data recorded during resting state and a motor task and show that previous findings of diminished intrinsic beta amplitude in individuals with mTBI are largely due  ...  However, growing evidence suggests that neural dynamics are (at least in part) driven by transient, pan-spectral bursting and in this paper, we employ this model to investigate mTBI.  ...  "Oscillatory" power does not stem from oscillations per se, but rather it results, at least in part, from transient events of high amplitude activity, the spectral content of which intersects canonical  ... 
doi:10.1016/j.nicl.2021.102841 pmid:34653838 pmcid:PMC8517919 fatcat:jbtdc2jirnfqnlwnptmaj6m5wu

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Andrew J. Quinn, Diego Vidaurre, Romesh Abeysuriya, Robert Becker, Anna C. Nobre, Mark W. Woolrich
2018 Frontiers in Neuroscience  
We apply this to a freely available MEG dataset in which participants completed a face perception task, and reveal task-dependent HMM states that represent whole-brain dynamic networks transiently bursting  ...  We show how the HMM can be inferred on continuous, parcellated source-space Magnetoencephalography (MEG) task data in an unsupervised manner, without any knowledge of the task timings.  ...  These two HMM variants provide an alternative representation of frequency domain task-responses as fast transient events of distinct multi-region spectral patterns.  ... 
doi:10.3389/fnins.2018.00603 pmid:30210284 pmcid:PMC6121015 fatcat:clsswxbdxnacxgmh3ihl67ubju
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