Literature DB >> 21484504

Spatiotemporal scales and links between electrical neuroimaging modalities.

Sara L Gonzalez Andino1, Stephen Perrig, Rolando Grave de Peralta Menendez.   

Abstract

Recordings of brain electrophysiological activity provide the most direct reflect of neural function. Information contained in these signals varies as a function of the spatial scale at which recordings are done: from single cell recording to large scale macroscopic fields, e.g., scalp EEG. Microscopic and macroscopic measurements and models in Neuroscience are often in conflict. Solving this conflict might require the developments of a sort of bio-statistical physics, a framework for relating the microscopic properties of individual cells to the macroscopic or bulk properties of neural circuits. Such a framework can only emerge in Neuroscience from the systematic analysis and modeling of the diverse recording scales from simultaneous measurements. In this article we briefly review the different measurement scales and models in modern neuroscience to try to identify the sources of conflict that might ultimately help to create a unified theory of brain electromagnetic fields. We argue that seen the different recording scales, from the single cell to the large scale fields measured by the scalp electroencephalogram, as derived from a unique physical magnitude--the electric potential that is measured in all cases--might help to conciliate microscopic and macroscopic models of neural function as well as the animal and human neuroscience literature.

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Year:  2011        PMID: 21484504     DOI: 10.1007/s11517-011-0769-4

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  67 in total

Review 1.  Resonance, oscillation and the intrinsic frequency preferences of neurons.

Authors:  B Hutcheon; Y Yarom
Journal:  Trends Neurosci       Date:  2000-05       Impact factor: 13.837

2.  Communication between neocortex and hippocampus during sleep in rodents.

Authors:  Anton Sirota; Jozsef Csicsvari; Derek Buhl; György Buzsáki
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-07       Impact factor: 11.205

3.  High gamma power is phase-locked to theta oscillations in human neocortex.

Authors:  R T Canolty; E Edwards; S S Dalal; M Soltani; S S Nagarajan; H E Kirsch; M S Berger; N M Barbaro; R T Knight
Journal:  Science       Date:  2006-09-15       Impact factor: 47.728

4.  High gamma frequency oscillatory activity dissociates attention from intention in the human premotor cortex.

Authors:  Andrea Brovelli; Jean-Philippe Lachaux; Philippe Kahane; Driss Boussaoud
Journal:  Neuroimage       Date:  2005-07-14       Impact factor: 6.556

5.  Model of low-pass filtering of local field potentials in brain tissue.

Authors:  C Bédard; H Kröger; A Destexhe
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-05-19

6.  Macroscopic models of local field potentials and the apparent 1/f noise in brain activity.

Authors:  Claude Bédard; Alain Destexhe
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

7.  Localization of evoked neuromagnetic 600 Hz activity in the cerebral somatosensory system.

Authors:  G Curio; B M Mackert; M Burghoff; R Koetitz; K Abraham-Fuchs; W Härer
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1994-12

8.  Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials.

Authors:  Aman B Saleem; Paul Chadderton; John Apergis-Schoute; Kenneth D Harris; Simon R Schultz
Journal:  J Comput Neurosci       Date:  2010-03-12       Impact factor: 1.621

9.  Non-stationary distributed source approximation: an alternative to improve localization procedures.

Authors:  S L Gonzalez Andino; R Grave de Peralta Menendez; C M Lantz; O Blank; C M Michel; T Landis
Journal:  Hum Brain Mapp       Date:  2001-10       Impact factor: 5.038

Review 10.  Dopamine signals for reward value and risk: basic and recent data.

Authors:  Wolfram Schultz
Journal:  Behav Brain Funct       Date:  2010-04-23       Impact factor: 3.759

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  3 in total

1.  Neurodynamic measures of functional connectivity and cognition.

Authors:  Selma Supek; Ratko Magjarevic
Journal:  Med Biol Eng Comput       Date:  2011-04-22       Impact factor: 2.602

2.  Modeling the effect of dendritic input location on MEG and EEG source dipoles.

Authors:  Seppo P Ahlfors; Christopher Wreh
Journal:  Med Biol Eng Comput       Date:  2015-04-12       Impact factor: 2.602

3.  Hypothesizing the body's genius to trigger and self-organize its healing: 25 years using a standardized neurophysics therapy.

Authors:  Sara N Ross; Ken Ware
Journal:  Front Physiol       Date:  2013-11-19       Impact factor: 4.566

  3 in total

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