Model-based source localization of extracellular action potentials

Somogyvári, Zoltán; Zalányi, László; Ulbert, István; Érdi, Péter

doi:10.1016/j.jneumeth.2005.04.002

Cited by 36 publications

(41 citation statements)

References 19 publications

(27 reference statements)

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“…This MUA signal is expected to be dominated by neurons with a vertical displacement of less than ϳ0.1 mm from the electrode contact position (Somogyvári et al 2005). Thus this earliest MUA signal is interpreted as being largely caused by action potentials from layer 4 neurons, i.e., granular cells.…”

Section: Experimental Datamentioning

confidence: 99%

Laminar Population Analysis: Estimating Firing Rates and Evoked Synaptic Activity From Multielectrode Recordings in Rat Barrel Cortex

Einevoll

Pettersen

Devor

et al. 2007

Journal of Neurophysiology

144

208

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Einevoll GT, Pettersen KH, Devor A, Ulbert I, Halgren E, Dale AM. Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex. J Neurophysiol 97: 2174 -2190, 2007. First published December 20, 2006; doi:10.1152/jn.00845.2006. We present a new method, laminar population analysis (LPA), for analysis of laminar-electrode (linear multielectrode) data, where physiological constraints are explicitly incorporated in the mathematical model: the high-frequency band [multiunit activity (MUA)] is modeled as a sum over contributions from firing activity of multiple cortical populations, whereas the low-frequency band [local field potential (LFP)] is assumed to reflect the dendritic currents caused by synaptic inputs evoked by this firing. The method is applied to stimulus-averaged laminar-electrode data from barrel cortex of anesthetized rat after single whisker flicks. Two sample data sets, distinguished by stimulus paradigm, type of applied anesthesia, and electrical boundary conditions, are studied in detail. These data sets are well accounted for by a model with four cortical populations: one supragranular, one granular, and two infragranular populations. Population current source densities (CSDs; the CSD signatures after firing in a particular population) provided by LPA are further used to estimate the synaptic connection pattern between the various populations using a new LFP template-fitting technique, where LFP population templates are found by the electrostatic forward solution based on results from compartmental modeling of morphologically reconstructed neurons. Our analysis confirms previous experimental findings regarding the synaptic connections from neurons in the granular layer onto neurons in the supragranular layers and provides predictions about other synaptic connections. Furthermore, the time dependence of the stimulus-evoked population firing activity is predicted, and the temporal ordering of response onset is found to be compatible with earlier findings. I N T R O D U C T I O NExtracellular recordings using multielectrode arrays are uniquely suited to bridge the gap between classical single-cell electrophysiology and noninvasive extracranial EEG/MEG recordings. However, the relationship between extracellular field potentials and population firing rates, and the behavior of specific neuronal cell types and circuits, is poorly understood. In this paper we describe a novel framework for estimation of spiking and synaptic activity in identified cortical neuronal populations, based on laminar array recordings. This approach also provides a means to constrain and validate computational models of neuronal cortical circuits (Dayan and Abbott 2001; Koch and Segev 1998).Technology for large-scale electrical recording of neural activity is rapidly improving, enabling routine measurement of electric potentials from large numbers of closely spaced locations (Buzsaki 2004;Nadasdy et al. 1998). Local field potentials (LFP), i.e., the low-fre...

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Section: Experimental Datamentioning

confidence: 99%

Laminar Population Analysis: Estimating Firing Rates and Evoked Synaptic Activity From Multielectrode Recordings in Rat Barrel Cortex

Einevoll

Pettersen

Devor

et al. 2007

Journal of Neurophysiology

144

208

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“…Perhaps because of its simplicity, several studies have used a monopole source model to localize neurons from extracellular recordings (Chelaru and Jog 2005;Lee et al 2007;Somogyvari et al 2005). However, as discussed above (The local lobe interpretation), the field around a neuron beyond a minimum r 0 is accurately approximated by a dipole rather than a monopole.…”

Section: The Recording Radius and Volume Of Tetrodesmentioning

confidence: 99%

“…Supporting evidence for this [detailed in the companion paper (Mechler and Victor 2011)] comes from extensive reanalysis of published data from other laboratories and computer simulations. The monopole, with four parameters (1 for intensity and 3 for the spatial coordinates; 2 fewer than the 6 parameters of the dipole), is the simplest possible source model, and it has been the most frequently used alternative of the dipole in neuron localization (Chelaru and Jog 2005;Lee et al 2007;Somogyvari et al 2005). However, it has a critical albeit hitherto not-wellrecognized flaw; it seriously underestimates the source distance at typical cell-probe distances (see DISCUSSION; also see companion paper and its supplemental material from Mechler and Victor 2011).…”

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confidence: 99%

Three-dimensional localization of neurons in cortical tetrode recordings

Mechler

Victor

Ohiorhenuan

et al. 2011

Journal of Neurophysiology

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The recording radius and spatial selectivity of an extracellular probe are important for interpreting neurophysiological recordings but are rarely measured. Moreover, an analysis of the recording biophysics of multisite probes (e.g., tetrodes) can provide for source characterization and localization of spiking single units, but this capability has remained largely unexploited. Here we address both issues quantitatively. Advancing a tetrode (Ϸ40-m contact separation, tetrahedral geometry) in 5-to 10-m steps, we repeatedly recorded extracellular action potentials (EAPs) of single neurons in the visual cortex. Using measured spatial variation of EAPs, the tetrodes' measured geometry, and a volume conductor model of the cortical tissue, we solved the inverse problem of estimating the location and the size of the equivalent dipole model of the spike generator associated with each neuron. Half of the 61 visual neurons were localized within a radius of Ϸ100 m and 95% within Ϸ130 m around the tetrode tip (i.e., a large fraction was much further than previously thought). Because of the combined angular sensitivity of the tetrode's leads, location uncertainty was less than one-half the cell's distance. We quantified the spatial dependence of the probability of cell isolation, the isolated fraction, and the dependence of the recording radius on probe size and equivalent dipole size. We also reconstructed the spatial configuration of sets of simultaneously recorded neurons to demonstrate the potential use of 3D dipole localization for functional anatomy. Finally, we found that the dipole moment vector, surprisingly, tended to point toward the probe, leading to the interpretation that the equivalent dipole represents a "local lobe" of the dendritic arbor. recording radius; extracellular action potential; multisite recording; inverse problem; equivalent dipole; lead field theory MULTICONTACT RECORDINGS HAVE HIGH YIELD (Blanche et al. 2005;Csicsvari et al. 2003;Eckhorn and Thomas 1993;Gray et al. 1995;McNaughton et al. 1983) (Buzsaki and Kandel 1998;Drake et al. 1988;Henze et al. 2000) show, the shape and size of the extracellular action potential (EAP) waveform depends on the relative position of cell and probe. Thus, these recordings carry spatial information about spike sources that is not available in single electrode records. However, this spatial information is typically not exploited, because extracting it requires solution of an inverse problem, deducing the position and the size of the current source of a spiking neuron from measurements of its EAP at multiple locations.Here, we solve this inverse problem by modeling the spiking neuron with a single current dipole. The choice of a dipole model rests on reasoning presented in detail in a companion paper and its supplemental material (Mechler and Victor 2011). Briefly, although the membrane currents of a spiking neuron constitute a genuinely distributed current source, the resulting extracellular field is well approximated by that of a dipole beyond a minimum distance a...

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“…Several neuronal source localization algorithms have been proposed and used in vivo [3], [6], [7], [8], [9]. These methods employed various approaches ranging from simple heuristic EAP generative models [6], [7], to more biophysically realistic models, such as monopole [3], dipole [9], and line source [8] approximations.…”

Section: Background and Significancementioning

confidence: 99%

“…These methods employed various approaches ranging from simple heuristic EAP generative models [6], [7], to more biophysically realistic models, such as monopole [3], dipole [9], and line source [8] approximations. However, since these experiments were performed in vivo where the exact location of neurons is unknown, the localization results could not be validated.…”

Section: Background and Significancementioning

confidence: 99%

The accuracy and precision of signal source localization with tetrodes

Lee

Szymanska

Ikegaya

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-Four-sensor microelectrodes, commonly referred to as tetrodes, have the ability to significantly increase the signal-to-noise ratio of neuronal extracellular recordings. They also provide spatio-temporal information about extracellular action potentials (EAP) which may be used to localize and resolve individual neuronal signal sources. Since the relative position of sensors and neurons whose EAPs are recorded is not known during in vivo experiments, the accuracy and precision of neuronal source localization algorithms remain untested. In this study, electrical signals generated by a stimulator were recorded simultaneously with four recording micropipettes immersed in artificial cerebrospinal fluid. The location of the source was estimated using the multiple signal classification algorithm, with an accuracy and precision of ∼4 µm and ∼7 µm, respectively. These results suggest that in vivo localization and resolution of individual neuronal sources is feasible.

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Model-based source localization of extracellular action potentials

Cited by 36 publications

References 19 publications

Laminar Population Analysis: Estimating Firing Rates and Evoked Synaptic Activity From Multielectrode Recordings in Rat Barrel Cortex

Laminar Population Analysis: Estimating Firing Rates and Evoked Synaptic Activity From Multielectrode Recordings in Rat Barrel Cortex

Three-dimensional localization of neurons in cortical tetrode recordings

The accuracy and precision of signal source localization with tetrodes

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