Literature DB >> 30684161

Multi-Scale Neural Sources of EEG: Genuine, Equivalent, and Representative. A Tutorial Review.

Paul L Nunez1, Michael D Nunez2, Ramesh Srinivasan2,3.   

Abstract

A biophysical framework needed to interpret electrophysiological data recorded at multiple spatial scales of brain tissue is developed. Micro current sources at membrane surfaces produce local field potentials, electrocorticography, and electroencephalography (EEG). We categorize multi-scale sources as genuine, equivalent, or representative. Genuine sources occur at the micro scale of cell surfaces. Equivalent sources provide identical experimental outcomes over a range of scales and applications. In contrast, each representative source distribution is just one of many possible source distributions that yield similar experimental outcomes. Macro sources ("dipoles") may be defined at the macrocolumn (mm) scale and depend on several features of the micro sources-magnitudes, micro synchrony within columns, and distribution through the cortical depths. These micro source properties are determined by brain dynamics and the columnar structure of cortical tissue. The number of representative sources underlying EEG data depends on the spatial scale of neural tissue under study. EEG inverse solutions (e.g. dipole localization) and high resolution estimates (e.g. Laplacian, dura imaging) have both strengths and limitations that depend on experimental conditions. The proposed theoretical framework informs studies of EEG source localization, source characterization, and low pass filtering. It also facilitates interpretations of brain dynamics and cognition, including measures of synchrony, functional connections between cortical locations, and other aspects of brain complexity.

Entities:  

Keywords:  Dipole localization; EEG; Laplacian; Sources; Spatial scale; Synchronization

Mesh:

Year:  2019        PMID: 30684161     DOI: 10.1007/s10548-019-00701-3

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


  10 in total

1.  EECoG-Comp: An Open Source Platform for Concurrent EEG/ECoG Comparisons-Applications to Connectivity Studies.

Authors:  Qing Wang; Pedro Antonio Valdés-Hernández; Deirel Paz-Linares; Jorge Bosch-Bayard; Naoya Oosugi; Misako Komatsu; Naotaka Fujii; Pedro Antonio Valdés-Sosa
Journal:  Brain Topogr       Date:  2019-06-17       Impact factor: 3.020

2.  Frontal theta and posterior alpha in resting EEG: A critical examination of convergent and discriminant validity.

Authors:  Ezra E Smith; Craig E Tenke; Patricia J Deldin; Madhukar H Trivedi; Myrna M Weissman; Randy P Auerbach; Gerard E Bruder; Diego A Pizzagalli; Jürgen Kayser
Journal:  Psychophysiology       Date:  2019-10-02       Impact factor: 4.016

3.  Timing of readiness potentials reflect a decision-making process in the human brain.

Authors:  Kitty K Lui; Michael D Nunez; Jessica M Cassidy; Joachim Vandekerckhove; Steven C Cramer; Ramesh Srinivasan
Journal:  Comput Brain Behav       Date:  2020-11-25

4.  Beyond rates: time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone.

Authors:  Michael D Nunez; Krit Charupanit; Indranil Sen-Gupta; Beth A Lopour; Jack J Lin
Journal:  J Neural Eng       Date:  2022-02-22       Impact factor: 5.043

5.  Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After Stroke.

Authors:  Jessica M Cassidy; Anirudh Wodeyar; Jennifer Wu; Kiranjot Kaur; Ashley K Masuda; Ramesh Srinivasan; Steven C Cramer
Journal:  Stroke       Date:  2020-04-17       Impact factor: 7.914

6.  Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design.

Authors:  Joonas Iivanainen; Antti J Mäkinen; Rasmus Zetter; Matti Stenroos; Risto J Ilmoniemi; Lauri Parkkonen
Journal:  Neuroimage       Date:  2021-11-28       Impact factor: 6.556

7.  Coherent neural oscillations inform early stroke motor recovery.

Authors:  Jessica M Cassidy; Anirudh Wodeyar; Ramesh Srinivasan; Steven C Cramer
Journal:  Hum Brain Mapp       Date:  2021-08-26       Impact factor: 5.038

Review 8.  Computational Models in Electroencephalography.

Authors:  Katharina Glomb; Joana Cabral; Anna Cattani; Alberto Mazzoni; Ashish Raj; Benedetta Franceschiello
Journal:  Brain Topogr       Date:  2021-03-29       Impact factor: 3.020

9.  ESB: A low-cost EEG Synchronization Box.

Authors:  Marco Bilucaglia; Riccardo Masi; Giovanni Di Stanislao; Rita Laureanti; Alessandro Fici; Riccardo Circi; Margherita Zito; Vincenzo Russo
Journal:  HardwareX       Date:  2020-07-25

10.  Measuring auditory cortical responses in Tursiops truncatus.

Authors:  Matt D Schalles; Dorian S Houser; James J Finneran; Peter Tyack; Barbara Shinn-Cunningham; Jason Mulsow
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2021-07-30       Impact factor: 1.836

  10 in total

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