Synonyms
Definition
Current source density analysis (CSD) is a class of methods of analysis of extracellular electric potentials recorded at multiple sites leading to estimates of current sources generating the measured potentials. It is usually applied to low-frequency part of the potential (called the local field potential, LFP) and to simultaneous recordings or to recordings taken with fixed time reference to the onset of specific stimulus (evoked potentials, EP).
Detailed Description
Among the different mechanisms contributing to extracellular electric potential in the tissue (Buzsáki et al. 2012; Einevoll et al. 2012), transmembrane currents in neurons are believed to dominate. These are ionic currents passing through all the different membrane channels (passive, voltage dependent, calcium dependent, synaptic, etc.) as well as the capacitive currents which, while charging the membrane, also contribute to the motion of ions in the...
References
Aronszajn N (1950) Theory of reproducing kernels. Trans Am Math Soc 68(3):337–404
Bedard C, Destexhe A (2011) A generalized theory for current-source density analysis in brain tissue. Phys Rev E 84:041909
Berdondini L, van der Wal PD, Guenat O, de Rooij NF, Koudelka-Hep M, Seitz P, Kaufmann R, Metzler P, Blanc N, Rohr S (2005) High-density electrode array for imaging in vitro electrophysiological activity. Biosens Bioelectron 21(1):167–174
Buzsáki G (2004) Large-scale recording of neuronal ensembles. Nat Neurosci 7(5):446–451
Buzsáki G, Anastassiou CA, Koch C (2012) The origin of extracellular fields and currents–EEG, ECoG, LFP and spikes. Nat Rev Neurosci 13(6):407–420
Csicsvari J, Henze DA, Jamieson B, Harris KD, Sirota A, Barthó P, Wise KD, Buzsáki G (2003) Massively parallel recording of unit and local field potentials with silicon-based electrodes. J Neurophysiol 90(2):1314–1323
Egert U, Schlosshauer B, Fennrich S, Nisch W, Fejtl M, Knott T, Müller T, Hämmerle H (1998) A novel organotypic long-term culture of the rat hippocampus on substrate-integrated multielectrode arrays. Brain Res Brain Res Protoc 2(4):229–242
Einevoll GT, Lindén H, Tetzlaff T, Łęski S, Pettersen KH (2012) Local field potentials. Biophysical origin and analysis. In: Quiroga RQ and Panzer S (Ed.) Principles of neural coding. CRC Press, Boca Raton pp 37–61
Einevoll GT, Kayser C, Logothetis NK, Panzeri S (2013) Modelling and analysis of local field potentials for studying the function of cortical circuits. Nat Rev Neurosci 14(11):770–785
Frey U, Egert U, Heer F, Hafizovic S, Hierlemann A (2009) Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices. Biosens Bioelectron 24(7):2191–2198
Goto T, Hatanaka R, Ogawa T, Sumiyoshi A, Riera J, Kawashima R (2010) An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats. J Neurophysiol 104(6):3388–3412
Gratiy SL, Devor A, Einevoll GT, Dale AM (2011) On the estimation of population-specific synaptic currents from laminar multielectrode recordings. Front Neuroinform 5:32
Haberly LB, Shepherd GM (1973) Current-density analysis of summed evoked potentials in opossum prepyriform cortex. J Neurophysiol 36(4):789–802
Hunt MJ, Falinska M, Łeski S, Wójcik DK, Kasicki S (2011) Differential effects produced by ketamine on oscillatory activity recorded in the rat hippocampus, dorsal striatum and nucleus accumbens. J Psychopharmacol 25(6):808–821
Kajikawa Y, Schroeder CE (2011) How local is the local field potential? Neuron 72(5):847–858
Kipke DR, Shain W, Buzsáki G, Fetz E, Henderson JM, Hetke JF, Schalk G (2008) Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities. J Neurosci 28(46):11830–11838
Łęski S, Wójcik DK, Tereszczuk J, Świejkowski DA, Kublik E, Wróbel A (2007) Inverse current-source density method in 3D: reconstruction fidelity, boundary effects, and influence of distant sources. Neuroinformatics 5(4):207–222
Łęski S, Kublik E, Swiejkowski DA, Wróbel A, Wójcik DK (2010) Extracting functional components of neural dynamics with independent component analysis and inverse current source density. J Comput Neurosci 29(3):459–473
Łęski S, Pettersen KH, Tunstall B, Einevoll GT, Gigg J, Wójcik DK (2011) Inverse current source density method in two dimensions: inferring neural activation from multielectrode recordings. Neuroinformatics 9(4):401–425
Łęski S, Lindén H, Tetzlaff T, Pettersen KH, Einevoll GT (2013) Frequency dependence of signal power and spatial reach of the local field potential. PLoS Comput Biol 9(7):e1003137
Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT (2011) Modeling the spatial reach of the LFP. Neuron 72(5):859–872
Makarov VA, Makarova J, Herreras O (2010) Disentanglement of local field potential sources by independent component analysis. J Comput Neurosci 29(3):445–457
Mitzdorf U (1985) Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena. Physiol Rev 65(1):37–100
Nicholson C (1973) Theoretical analysis of field potentials in anisotropic ensembles of neuronal elements. IEEE Transactions on Biomedical Engineering 20(4):278–288
Nicholson C, Freeman JA (1975) Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. J Neurophysiol 38(2):356–368
Nunez PL, Srinivasan R (2005) Electric fields of the brain: the neurophysics of EEG. MIT Press, Cambridge, MA
Pettersen KH, Devor A, Ulbert I, Dale AM, Einevoll GT (2006) Current-source density estimation based on inversion of electrostatic forward solution: effects of finite extent of neuronal activity and conductivity discontinuities. J Neurosci Methods 154(1–2):116–133
Pitts WH (1952) Investigations on synaptic transmission. In: von Foerster H (Ed.) Cybernetics, Transactions of the 9th conference, Josiah Macy Foundation, New York pp 159–166
Potworowski J, Glabska H, Leski S, Wojcik D (2011) Extracting activity of individual cell populations from multielectrode recordings. BMC Neurosci 12(Suppl 1):374
Potworowski J, Jakuczun W, Łęski S, Wójcik D (2012) Kernel current source density method. Neural Comput 24(2):541–575
Rappelsberger P, Pockberger H, Petsche H (1981) Current source density analysis: methods and application to simultaneously recorded field potentials of the rabbit’s visual cortex. Pflugers Arch 389(2):159–170
Reimann MW, Anastassiou CA, Perin R, Hill SL, Markram H, Koch C (2013) A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents. Neuron 79(2):375–390
Schoelkopf B, Smola A (2002) Learning with Kernels. Massachusetts Institute of Technology, Cambridge, MA
Somogyvári Z, Zalányi L, Ulbert I, Erdi P (2005) Model-based source localization of extracellular action potentials. J Neurosci Methods 147(2):126–137
Somogyvári Z, Cserpán D, Ulbert I, Erdi P (2012) Localization of single-cell current sources based on extracellular potential patterns: the spike CSD method. Eur J Neurosci 36(10):3299–3313
Stevens CF (1966) Neurophysiology: a primer. Wiley, New York
Tranquillo J (2008) Quantitative neurophysiology. Morgan and Claypool Publishers, San Rafael
Traub RD, Contreras D, Cunningham MO, Murray H, LeBeau FEN, Roopun A, Bibbig A, Wilent WB, Higley MJ, Whittington MA (2005) Single-column thalamocortical network model exhibiting gamma oscillations, sleep spindles, and epileptogenic bursts. J Neurophysiol 93(4):2194–2232
Vaknin G, DiScenna PG, Teyler TJ (1988) A method for calculating current source density (CSD) analysis without resorting to recording sites outside the sampling volume. J Neurosci Methods 24(2):131–135
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Wójcik, D.K. (2014). Current Source Density (CSD) Analysis. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_544-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_544-1
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