Literature DB >> 34086189

Magnifying Traveling Waves on the Scalp.

John J Orczyk1, Yoshinao Kajikawa2,3.   

Abstract

Traveling waves appear in various signals that measure neuronal activity. Some signals measured in animals have singles-cell resolution and directly point to neuronal activity. In those cases, activation of distributed neurons forms a wave front, and the front propagates across the cortical surface. Other signals are variants of neuroelectric potentials, i.e. electroencephalography, electrocorticography and field potentials. Instead of having fine spatial resolution, these signals reflect the activity of neuronal populations via volume conduction (VC). Sources of traveling waves in neuroelectric potentials have not been well addressed so far. As animal studies show propagating activation of neurons that spread in measured areas, it is often considered that neuronal activations during scalp waves have similar trajectories of activation, spreading like scalp waves. However, traveling waves on the scalp differ from those found directly on the cortical surface in several dimensions: traveling velocity, traveling distance and areal size occupied by single polarity. We describe that the simplest sources can produce scalp waves with perceived spatial dimensions which are actually a magnification of neuronal activity emanating from local sources due to VC. This viewpoint is not a rigorous proof of our magnification concept. However, we suggest the possibility that the actual dimensions of neuronal activity producing traveling waves is not as large as the dimension of the traveling waves.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Current source; Electrocorticography; Electroencephalography; Traveling wave; Volume conduction

Mesh:

Year:  2021        PMID: 34086189      PMCID: PMC8759578          DOI: 10.1007/s10548-021-00853-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  29 in total

Review 1.  Traveling electrical waves in cortex: insights from phase dynamics and speculation on a computational role.

Authors:  G B Ermentrout; D Kleinfeld
Journal:  Neuron       Date:  2001-01       Impact factor: 17.173

2.  Neuronal oscillations and multisensory interaction in primary auditory cortex.

Authors:  Peter Lakatos; Chi-Ming Chen; Monica N O'Connell; Aimee Mills; Charles E Schroeder
Journal:  Neuron       Date:  2007-01-18       Impact factor: 17.173

3.  Hippocampal theta oscillations are travelling waves.

Authors:  Evgueniy V Lubenov; Athanassios G Siapas
Journal:  Nature       Date:  2009-05-28       Impact factor: 49.962

4.  Source modeling sleep slow waves.

Authors:  Michael Murphy; Brady A Riedner; Reto Huber; Marcello Massimini; Fabio Ferrarelli; Giulio Tononi
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-22       Impact factor: 11.205

Review 5.  Modelling and analysis of local field potentials for studying the function of cortical circuits.

Authors:  Gaute T Einevoll; Christoph Kayser; Nikos K Logothetis; Stefano Panzeri
Journal:  Nat Rev Neurosci       Date:  2013-11       Impact factor: 34.870

6.  Signal timing across the macaque visual system.

Authors:  M T Schmolesky; Y Wang; D P Hanes; K G Thompson; S Leutgeb; J D Schall; A G Leventhal
Journal:  J Neurophysiol       Date:  1998-06       Impact factor: 2.714

7.  Generation of field potentials and modulation of their dynamics through volume integration of cortical activity.

Authors:  Yoshinao Kajikawa; Charles E Schroeder
Journal:  J Neurophysiol       Date:  2014-10-01       Impact factor: 2.714

8.  Receptive fields in human visual cortex mapped with surface electrodes.

Authors:  Daniel Yoshor; William H Bosking; Geoffrey M Ghose; John H R Maunsell
Journal:  Cereb Cortex       Date:  2006-12-16       Impact factor: 5.357

9.  Evoked traveling alpha waves predict visual-semantic categorization-speed.

Authors:  Robert Fellinger; Walter Gruber; Andrea Zauner; Roman Freunberger; Wolfgang Klimesch
Journal:  Neuroimage       Date:  2011-11-10       Impact factor: 6.556

Review 10.  Local Field Potentials: Myths and Misunderstandings.

Authors:  Oscar Herreras
Journal:  Front Neural Circuits       Date:  2016-12-15       Impact factor: 3.492

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  1 in total

1.  A Roadmap for Computational Modelling of M/EEG.

Authors:  Benedetta Franceschiello; Jérémie Lefebvre; Micah M Murray; Katharina Glomb
Journal:  Brain Topogr       Date:  2022-01-27       Impact factor: 3.020

  1 in total

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