Local Field Potentials: Myths and Misunderstandings

被引:222
作者
Herreras, Oscar [1 ]
机构
[1] CSIC, Cajal Inst, Dept Translat Neurosci, Madrid, Spain
关键词
local field potentials; EEG; volume-conduction; spatial discrimination; spontaneous activity; network oscillations; neuronal circuits; cell assembly; INDEPENDENT COMPONENT; GABAERGIC NEURONS; PHASE SEGREGATION; IMPEDANCE CHANGES; SPIKING ACTIVITY; PYRAMIDAL CELLS; CEREBRAL-CORTEX; THETA RHYTHM; IN-VIVO; EEG;
D O I
10.3389/fncir.2016.00101
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The intracerebral local field potential (LFP) is a measure of brain activity that reflects the highly dynamic flow of information across neural networks. This is a composite signal that receives contributions from multiple neural sources, yet interpreting its nature and significance may be hindered by several confounding factors and technical limitations. By and large, the main factor defining the amplitude of LFPs is the geometry of the current sources, over and above the degree of synchronization or the properties of the media. As such, similar levels of activity may result in potentials that differ in several orders of magnitude in different populations. The geometry of these sources has been experimentally inaccessible until intracerebral high density recordings enabled the co-activating sources to be revealed. Without this information, it has proven difficult to interpret a century's worth of recordings that used temporal cues alone, such as event or spike related potentials and frequency bands. Meanwhile, a collection of biophysically ill-founded concepts have been considered legitimate, which can now be corrected in the light of recent advances. The relationship of LFPs to their sources is often counterintuitive. For instance, most LFP activity is not local but remote, it may be larger further from rather than close to the source, the polarity does not define its excitatory or inhibitory nature, and the amplitude may increase when source's activity is reduced. As technological developments foster the use of LFPs, the time is now ripe to raise awareness of the need to take into account spatial aspects of these signals and of the errors derived from neglecting to do so.
引用
收藏
页数:16
相关论文
共 92 条
[1]  
[Anonymous], 2005, Electric fields of the brain: The neurophysics of eeg
[2]   Dynamics of ongoing activity: Explanation of the large variability in evoked cortical responses [J].
Arieli, A ;
Sterkin, A ;
Grinvald, A ;
Aertsen, A .
SCIENCE, 1996, 273 (5283) :1868-1871
[3]   Modeling extracellular field potentials and the frequency-filtering properties of extracellular space [J].
Bédard, C ;
Kröger, H ;
Destexhe, A .
BIOPHYSICAL JOURNAL, 2004, 86 (03) :1829-1842
[4]   Spatial Modules of Coherent Activity in Pathway-Specific LFPs in the Hippocampus Reflect Topology and Different Modes of Presynaptic Synchronization [J].
Benito, N. ;
Fernandez-Ruiz, A. ;
Makarov, V. A. ;
Makarova, J. ;
Korovaichuk, A. ;
Herreras, O. .
CEREBRAL CORTEX, 2014, 24 (07) :1738-1752
[5]   The right hippocampus leads the bilateral integration of gamma-parsed lateralized information [J].
Benito, Nuria ;
Martin-Vazquez, Gonzalo ;
Makarova, Julia ;
Makarov, Valeri A. ;
Herreras, Oscar .
ELIFE, 2016, 5
[6]   Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex [J].
Berens, Philipp ;
Keliris, Georgios A. ;
Ecker, Alexander S. ;
Logothetis, Nikos K. ;
Tolias, Andreas S. .
FRONTIERS IN NEUROSCIENCE, 2008, 2 (01) :199-207
[7]   Phase segregation of medial septal GABAergic neurons during hippocampal theta activity [J].
Borhegyi, Z ;
Varga, V ;
Szilágyi, N ;
Fabo, D ;
Freund, TF .
JOURNAL OF NEUROSCIENCE, 2004, 24 (39) :8470-8479
[8]   Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit [J].
Bos, Hannah ;
Diesmann, Markus ;
Helias, Moritz .
PLOS COMPUTATIONAL BIOLOGY, 2016, 12 (10)
[9]   CURRENT SOURCE DENSITY ANALYSIS OF THE HIPPOCAMPAL THETA RHYTHM - ASSOCIATED SUSTAINED POTENTIALS AND CANDIDATE SYNAPTIC GENERATORS [J].
BRANKACK, J ;
STEWART, M ;
FOX, SE .
BRAIN RESEARCH, 1993, 615 (02) :310-327
[10]   Are the electroencephalograms mainly rhythmic? Assessment of periodicity in wide-band time series [J].
Bullock, TH ;
McClune, MC ;
Enright, JT .
NEUROSCIENCE, 2003, 121 (01) :233-252