title: New uses of LFPs: Pathway-specific threads obtained through spatial discrimination.
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.
authors.affiliation: Department of Systems Neuroscience, Cajal Institute, CSIC, Avenida Doctor Arce 37, Madrid 28002, Spain. Electronic address: herreras@cajal.csic.es.
authors.forename: O
authors.initials: O
authors.lastname: Herreras
authors.affiliation: Department of Systems Neuroscience, Cajal Institute, CSIC, Avenida Doctor Arce 37, Madrid 28002, Spain. Electronic address: makarovaj@cajal.csic.es.
authors.forename: J
authors.initials: J
authors.lastname: Makarova
authors.affiliation: Department of Applied Mathematics, School of Mathematics, University Complutense of Madrid, Plaza de Ciencias 3, Ciudad Universitaria, Madrid 28040, Spain. Electronic address: vmakarov@mat.ucm.es.
authors.forename: V A
authors.initials: VA
authors.lastname: Makarov
mesh_terms: D000200:Action Potentials; D000818:Animals; D001921:Brain / Q000502:physiology*; D058256:Brain Waves; D003627:Data Interpretation, Statistical; D006801:Humans; D008564:Membrane Potentials; D008959:Models, Neurological; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted
keywords: independent component analysis; local field potentials; network oscillations; neural source localization; population activity; spontaneous activity