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Discovering dynamic functional networks in the human neonatal brain with electric source imaging
[article]
2020
arXiv
pre-print
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When the human brain manifests the birth of organised communication among local and large-scale neuronal populations activity remains undescribed. ...
We report, in resting-state EEG source-estimates of 100 infants at term age, the existence of macro-scale dynamic functional connectivity, which have rich topological organisations, distinct spectral fingerprints ...
As part of the Financial Incentive Agreement between the University of Queensland and the Queensland Government of Australia, this study uses the previously published EEG data by Professor Paul Colditz ...
arXiv:1902.03725v2
fatcat:ojnaak4lbrdzfagedjwiactwn4
Discovering dynamic functional networks in the human neonatal brain with electric source imaging
[article]
2019
bioRxiv
pre-print
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When the human brain manifests the birth of organised communication among local and large-scale neuronal populations activity remains undescribed. ...
We report, in resting-state EEG source-estimates of 100 infants at term age, the existence of macro-scale dynamic functional connectivity, which have rich topological organisations, distinct spectral fingerprints ...
As part of the Financial Incentive Agreement between the University of Queensland and the Queensland Government of Australia, this study uses the previously published EEG data provided by Professor Paul ...
doi:10.1101/545616
fatcat:fr5c7pbsyrbnnbq4hbrlrmcpbe
Proceedings: ISBET 200 – 14th World Congress of the International Society for Brain Electromagnetic Topography, November 19-23, 2003
2003
Brain Topography
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The latest BESA version 5 can transform the surface signals into brain activity using source montages derived from multiple source models. ...
The BESA (Brain Electrical Source Analysis) program provides a large variety of tools for the complete analysis of EEG and MEG recordings. ...
Non-invasive BCIs derive the user's intent from specific features of scalp-recorded EEG activity. ...
doi:10.1023/b:brat.0000019284.29068.8d
fatcat:tpvp3dcojrczjkuzcu3xefyizy
NEUROIMAGING METHODS FOR ASSESSMENT OF CORTICAL AUDITORY PROCESSING: A REVIEW
2020
Journal of hearing science
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(EEG), functional near-infrared spectroscopy (fNIRS), and positron emission tomography (PET). ...
This article aims to be a short introductory guide and source of reference for researchers in the field of auditory neuroimaging. ...
brain activity, represented by electric potentials (EEG) and magnetic fields (MEG) observed outside a subject's skull [5, 6] . ...
doi:10.17430/jhs.2020.10.3.3
fatcat:r4mirvxu55hevcflybzj3m52la
Brain Imaging and Human Nutrition: Which Measures to Use in Intervention Studies?
2013
Advances in Nutrition
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The expert group received funding from the ILSI Europe Nutrition and Mental Performance Task Force. Industry members of this task force are listed on the ILSI Europe website at http:// www.ilsi.eu. ...
All authors contributed to the discussions, gave inputs for writing the paper and reviewed and approved the content of the final manuscript. ...
From a physiological point of view, EEG and MEG signals derive from the post-synaptic ionic currents of synchronously active pyramidal neurons over extended cortical regions (cm) and reflect the integrative ...
doi:10.3945/an.113.004283
pmid:24038255
pmcid:PMC3771147
fatcat:hfgo3iqzqndqxaof5qr2v6tu2y
Brain imaging and human nutrition: which measures to use in intervention studies?
2013
British Journal of Nutrition
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The expert group received funding from the ILSI Europe Nutrition and Mental Performance Task Force. Industry members of this task force are listed on the ILSI Europe website at http:// www.ilsi.eu. ...
All authors contributed to the discussions, gave inputs for writing the paper and reviewed and approved the content of the final manuscript. ...
From a physiological point of view, EEG and MEG signals derive from the post-synaptic ionic currents of synchronously active pyramidal neurons over extended cortical regions (cm) and reflect the integrative ...
doi:10.1017/s0007114513001384
pmid:23902645
fatcat:4pz4tae7xrh7vlarhc7z3jv7wm
Bottom-up control of leakage in spectral electrophysiological source imaging via structured sparse bayesian learning
[article]
2020
bioRxiv
pre-print
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We also present a new validation benchmark based on the concurrency between high density MEG and its associated pseudo-EEG of lower density. ...
Brain electrical activity in different spectral bands has been associated with diverse mechanisms underlying Brain function. ...
One from a high-density real MEG signal (Figure 7a) to establish a landmark for source activation(Figure 7b), that is later used to simulate the pseudo signal of a low-density EEG(Figure 7c). ...
doi:10.1101/2020.02.25.964684
fatcat:njd5nsftufg2rdnnzoagyfcamy
Co-Increasing Neuronal Noise and Beta Power in the Developing Brain
[article]
2019
bioRxiv
pre-print
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Beamformer-reconstructed MEG time-series allowed a direct comparison of power in the source domain between 24 children (8.0 ± 2.5 years, 17 males) and 24 adults (40.6 ± 17.4 years, 16 males). ...
When estimating both the periodic and aperiodic components, we found that power increases with age in the beta band only, and that the 1/f signal is flattened in adults compared to children. ...
5 63 (Berchicci et al., 2011) and age-related increases in beta power between age 9-14 and 20-42 64 Outstanding Questions 79 Spectral analysis of resting-state MEG/EEG recordings has proven to be a ...
doi:10.1101/839258
fatcat:qqsefyzx45cy5ltcq47yuv5oue
Development of face recognition: Dynamic causal modelling of MEG data
2018
Developmental Cognitive Neuroscience
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Electrophysiological studies of adults indicate that brain activity is enhanced during viewing of repeated faces, at a latency of about 250 ms after the onset of the face (M250/N250). ...
The present study aimed to determine if this effect was also present in preschool-aged children, whose brain activity was measured in a custom-sized pediatric MEG system. ...
Acknowledgements This work was supported by the Australian Research Council Centre of Excellence for Cognition and its Disorders (grant number CE110001021), http://www.ccd.edu.au. ...
doi:10.1016/j.dcn.2017.11.010
pmid:29197727
pmcid:PMC6969123
fatcat:wnpkrd6jpbh6tbjdjrnmnxj64m
On the existence of synchrostates in multichannel EEG signals during face-perception tasks
2015
Biomedical engineering and physics express
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Phase synchronisation in multichannel EEG is known as the manifestation of functional brain connectivity. ...
The analysis is reported for four groups of children including typical, Autism Spectrum Disorder (ASD), low and high anxiety subjects - a total of 44 subjects. ...
ASD and typical children (high-density EEG). ...
doi:10.1088/2057-1976/1/1/015002
fatcat:jciipej5x5ezflnn63zhcqjqva
Dynamics of large-scale electrophysiological networks: A technical review
2018
NeuroImage
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In particular, non-invasive electrophysiological data (magnetoencephalography / electroencephalography (MEG/EEG)), which provides direct measurement of whole-brain activity and rich temporal information ...
Specifically, investigation into the activation elicited within certain regions by some stimulus or task has, in part, given way to analysis of patterns of co-activation or functional connectivity between ...
Controlling for signal leakage A problem of source reconstruction in MEG/EEG is that the sources may not be fully spatially resolved, 180 but rather are smeared out across a relatively large brain volume ...
doi:10.1016/j.neuroimage.2017.10.003
pmid:28988134
fatcat:dviqbyt4azeltkopeadr7sieka
Abstracts
2015
Epilepsia
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Results: At 5 year follow-up visit 27 out of 96 patients (28.1%) were classified as ILAE class I, 16 (16.7%) as class 2, 8 (8.3%) as class 3, 23 (24.0%) as class 4, 19 (19.8%) as class 5 and 3 (3.1%) as ...
This finding is explicable by statistically significant difference between average time of onset add on AED therapy in patient class 2 (median 5.5) and other groups (medians 1.0-2.4 years). ...
Method: 34 IGEs (26 females) who underwent an EEG-functional MRI (EEG-fMRI) study with the recording of GSWDs were selected. ...
doi:10.1111/epi.13241
fatcat:jnz7opo6tnccjcljtelg53ux6u
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
2021
Sensors
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We provide an overview of these methods in a systematic manner, organized by their domain of application including functional connectivity, anatomical structure, and electrical-based analysis. ...
A major limitation of existing methods has been the focus on grid-like data; however, the structure of physiological recordings are often irregular and unordered, which makes it difficult to conceptualise ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21144758
fatcat:jytyt4u2pjgvhnhcto3vcvd3a4
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
2021
Journal of Computational Neuroscience
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Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes. ...
within the constraints of biological networks. ...
Acknowledgements Research supported by TIN2017-84,452-R, PGC2018-0 9 5 , 8 9 5 -B -I 0 0 , P I D 2 0 2 0 -1 1 4 8 6 7 R B -I 0 0 , a n d 2015-AR2Q9086. ...
doi:10.1007/s10827-021-00801-9
pmid:34931275
pmcid:PMC8687879
fatcat:evpmmfpaivgpxdqpive5xdgmwu
27th Annual Computational Neuroscience Meeting (CNS*2018): Part One
2018
BMC Neuroscience
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the neural recordings of locust. ...
Acknowledgements This work was produced as part of the activities of FAPESP
Acknowledgements The research leading to these results has received funding from the Brazilian higher education funding agency ...
In recent years, multi-electrode arrays and large silicon probes have been developed to record simultaneously from thousands of electrodes packed with a high density. ...
doi:10.1186/s12868-018-0452-x
pmid:30373544
pmcid:PMC6205781
fatcat:xv7pgbp76zbdfksl545xof2vzy
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