Laminar Analysis of Human Neocortical Interictal Spike Generation and Propagation: Current Source Density and Multiunit Analysis In Vivo

Ulbert, István; Heit, Gary; Madsen, Joseph R.; Karmos, G.; Halgren, Eric

doi:10.1111/j.0013-9580.2004.04011.x

Cited by 92 publications

(105 citation statements)

References 64 publications

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“…The delay for the sink to rise from middle to upper cortical layers was as long as ~500 ms in the current study, whereas in human interictal spikes it is ~20ms (Ulbert et al, 2004). Comparable delays have been found in animal sensory areas (Barth and Di, 1990;Schroeder et al, 1998) and human V2 (personal observation).…”

Section: Intracolumnar and Intercolumnar Circuitry Of Word Processingsupporting

confidence: 60%

Processing stages underlying word recognition in the anteroventral temporal lobe

et al. 2006

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The anteroventral temporal lobe integrates visual, lexical, semantic and mnestic aspects of wordprocessing, through its reciprocal connections with the ventral visual stream, language areas, and the hippocampal formation. We used linear microelectrode arrays to probe population synaptic currents and neuronal firing in different cortical layers of the anteroventral temporal lobe, during semantic judgments with implicit priming, and overt word recognition. Since different extrinsic and associative inputs preferentially target different cortical layers, this method can help reveal the sequence and nature of local processing stages at a higher resolution than was previously possible.The initial response in inferotemporal and perirhinal cortices is a brief current sink beginning at 120ms, and peaking at ~170ms. Localization of this initial sink to middle layers suggests that it represents feedforward input from lower visual areas, and simultaneously increased firing implies that it represents excitatory synaptic currents. Until ~800ms, the main focus of transmembrane current sinks alternates between middle and superficial layers, with the superficial focus becoming increasingly dominant after ~550ms. Since superficial layers are the target of local and feedback associative inputs, this suggests an alternation in predominant synaptic input between feedforward and feedback modes. Word repetition does not affect the initial perirhinal and inferotemporal middle layer sink, but does decrease later activity. Entorhinal activity begins later (~200ms), with greater apparent excitatory postsynaptic currents and multiunit activity in neocortically-projecting than hippocampal-projecting layers. In contrast to perirhinal and entorhinal responses, entorhinal responses are larger to repeated words during memory retrieval.These results identify a sequence of physiological activation, beginning with a sharp activation from lower level visual areas carrying specific information to middle layers. This is followed by feedback and associative interactions involving upper cortical layers, which are abbreviated to repeated words. Following bottom-up and associative stages, top-down recollective processes may be driven by entorhinal cortex. Word processing involves a systematic sequence of fast feedforward information transfer from visual areas to anteroventral temporal cortex, followed by prolonged interactions of this feedforward information with local associations, and feedback mnestic information from the medial temporal lobe.

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Section: Intracolumnar and Intercolumnar Circuitry Of Word Processingsupporting

confidence: 60%

Processing stages underlying word recognition in the anteroventral temporal lobe

et al. 2006

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“…These studies are typically done on rat or cat in in vitro preparations. However, laminar-electrode recordings have been done in awake macaques (Schroeder et al 1998) and even humans (Halgren et al 2006;Ulbert et al 2001Ulbert et al , 2004Wang et al 2005). Thus LPA, combined with template-fitting analysis, offers opportunities for deeper insights into the functional synaptic connections even for these systems.…”

Section: Implications Of Workmentioning

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

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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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“…Several early studies using microelectrodes indeed showed increased multi - (Altafullah et al, 1986;Ulbert, Heit, et al, 2004), and single unit activity (Babb and Crandall, 1976;IsokawaAkesson et al, 1989;Wyler et al, 1982) during IID generation. Other studies however, found no or limited correlation (Babb et al, 1973;Rayport and Waller, 1967;Thomas et al, 1955;Wyler et al, 1982).…”

Section: Neuronal Firing Patterns In Epileptic Cortexmentioning

confidence: 96%

Intracranial neuronal ensemble recordings and analysis in epilepsy

Tóth

Fabó

Entz

et al. 2016

Journal of Neuroscience Methods

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Pathological neuronal firing was demonstrated 50 years ago as the hallmark of epileptically transformed cortex with the use of implanted microelectrodes. Since then, microelectrodes remained only experimental tools in humans to detect unitary neuronal activity to reveal physiological and pathological brain functions. This recording technique has evolved substantially in the past few decades; however, based on recent human data implying their usefulness as diagnostic tools, we expect a substantial increase in the development of microelectrodes in the near future.Here, we review the technological background and history of microelectrode array development for human examinations in epilepsy, including discussions on of wire-based and microelectrode arrays fabricated using micro-electro-mechanical system (MEMS) techniques and novel future techniques to record neuronal ensemble.We give an overview of clinical and surgical considerations, and try to provide a list of probes on the market with their availability for human recording. 2Then finally, we briefly review the literature on modulation of single neuron for the treatment of epilepsy, and highlight the current topics under examination that can be background for the future development.3

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Laminar Analysis of Human Neocortical Interictal Spike Generation and Propagation: Current Source Density and Multiunit Analysis In Vivo

Cited by 92 publications

References 64 publications

Processing stages underlying word recognition in the anteroventral temporal lobe

Processing stages underlying word recognition in the anteroventral temporal lobe

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

Intracranial neuronal ensemble recordings and analysis in epilepsy

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