Literature DB >> 26415769

New uses of LFPs: Pathway-specific threads obtained through spatial discrimination.

O Herreras1, J Makarova2, V A Makarov3.   

Abstract

Local field potentials (LFPs) reflect the coordinated firing of functional neural assemblies during information coding and transfer across neural networks. As such, it was proposed that the extraordinary variety of cytoarchitectonic elements in the brain is responsible for the wide range of amplitudes and for the coverage of field potentials, which in most cases receive contributions from multiple pathways and populations. The influence of spatial factors overrides the bold interpretations of customary measurements, such as the amplitude and polarity, to the point that their cellular interpretation is one of the hardest tasks in Neurophysiology. Temporal patterns and frequency bands are not exclusive to pathways but rather, the spatial configuration of the voltage gradients created by each pathway is highly specific and may be used advantageously. Recent technical and analytical advances now make it possible to separate and then reconstruct activity for specific pathways. In this review, we discuss how spatial features specific to cells and populations define the amplitude and extension of LFPs, why they become virtually indecipherable when several pathways are co-activated, and then we present the recent advances regarding their disentanglement using spatial discrimination techniques. The pathway-specific threads of LFPs have a simple cellular interpretation, and the temporal fluctuations obtained can be applied to a variety of new experimental objectives and improve existing approaches. Among others, they facilitate the parallel readout of activity in several populations over multiple time scales correlating them with behavior. Also, they access information contained in irregular fluctuations, facilitating the testing of ongoing plasticity. In addition, they open the way to unravel the synaptic nature of rhythmic oscillations, as well as the dynamic relationships between multiple oscillatory activities. The challenge of understanding which waves belong to which populations, and the pathways that provoke them, may soon be overcome.
Copyright © 2015 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  independent component analysis; local field potentials; network oscillations; neural source localization; population activity; spontaneous activity

Mesh:

Year:  2015        PMID: 26415769     DOI: 10.1016/j.neuroscience.2015.09.054

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  15 in total

1.  Different theta frameworks coexist in the rat hippocampus and are coordinated during memory-guided and novelty tasks.

Authors:  Víctor J López-Madrona; Elena Pérez-Montoyo; Efrén Álvarez-Salvado; David Moratal; Oscar Herreras; Ernesto Pereda; Claudio R Mirasso; Santiago Canals
Journal:  Elife       Date:  2020-07-20       Impact factor: 8.140

2.  Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.

Authors:  Espen Hagen; David Dahmen; Maria L Stavrinou; Henrik Lindén; Tom Tetzlaff; Sacha J van Albada; Sonja Grün; Markus Diesmann; Gaute T Einevoll
Journal:  Cereb Cortex       Date:  2016-10-20       Impact factor: 5.357

3.  The right hippocampus leads the bilateral integration of gamma-parsed lateralized information.

Authors:  Nuria Benito; Gonzalo Martín-Vázquez; Julia Makarova; Valeri A Makarov; Oscar Herreras
Journal:  Elife       Date:  2016-09-06       Impact factor: 8.140

4.  Unmasking local activity within local field potentials (LFPs) by removing distal electrical signals using independent component analysis.

Authors:  Nathan W Whitmore; Shih-Chieh Lin
Journal:  Neuroimage       Date:  2016-02-16       Impact factor: 6.556

Review 5.  Local Field Potentials: Myths and Misunderstandings.

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

6.  Theta Oscillations Alternate With High Amplitude Neocortical Population Within Synchronized States.

Authors:  Erin Munro Krull; Shuzo Sakata; Taro Toyoizumi
Journal:  Front Neurosci       Date:  2019-04-12       Impact factor: 4.677

7.  PyramidalExplorer: A New Interactive Tool to Explore Morpho-Functional Relations of Human Pyramidal Neurons.

Authors:  Pablo Toharia; Oscar D Robles; Isabel Fernaud-Espinosa; Julia Makarova; Sergio E Galindo; Angel Rodriguez; Luis Pastor; Oscar Herreras; Javier DeFelipe; Ruth Benavides-Piccione
Journal:  Front Neuroanat       Date:  2016-01-06       Impact factor: 3.856

8.  Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue.

Authors:  Geir Halnes; Tuomo Mäki-Marttunen; Daniel Keller; Klas H Pettersen; Ole A Andreassen; Gaute T Einevoll
Journal:  PLoS Comput Biol       Date:  2016-11-07       Impact factor: 4.475

9.  Latent Factors Limiting the Performance of sEMG-Interfaces.

Authors:  Sergey Lobov; Nadia Krilova; Innokentiy Kastalskiy; Victor Kazantsev; Valeri A Makarov
Journal:  Sensors (Basel)       Date:  2018-04-06       Impact factor: 3.576

10.  Learning Task-Related Activities From Independent Local-Field-Potential Components Across Motor Cortex Layers.

Authors:  Gonzalo Martín-Vázquez; Toshitake Asabuki; Yoshikazu Isomura; Tomoki Fukai
Journal:  Front Neurosci       Date:  2018-06-26       Impact factor: 4.677

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