Active Dendrites and Local Field Potentials: Biophysical Mechanisms and Computational Explorations

Sinha, Manisha; Narayanan, Rishikesh

doi:10.1016/j.neuroscience.2021.08.035

Cited by 23 publications

(28 citation statements)

References 561 publications

(803 reference statements)

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“…An important example for degeneracy in epilepsy at the border between macroand micro-circuit scales is related to extracellular electrical recordings, including local field potentials (LFP), electrocorticogram (ECoG), and electroencephalogram (EEG). These extracellular recordings constitute a crucial tool to discern physiological and pathological patterns of network activity at different spatial scales (Kajikawa and Schroeder, 2011;Linden et al, 2011;Einevoll et al, 2013;Leski et al, 2013;Hagen et al, 2018;Pesaran et al, 2018;Martinez-Canada et al, 2021;Sinha and Narayanan, 2022).…”

Section: Similar Lfp and Eeg Discharges Despite Diversity Of Underlyi...mentioning

confidence: 99%

“…There are several lines of support for degeneracy in the generation of similar LFP and EEG patterns (Farrell et al, 2019;Rathour and Narayanan, 2019;Sinha and Narayanan, 2022;Codadu et al, 2019;El Houssaini et al, 2020;Weng et al, 2020). For instance, although EEG can be macroscopically similar across different subjects, the firing patterns and the ion-channel compositions of the distinct neurons can still be very different.…”

Section: Similar Lfp and Eeg Discharges Despite Diversity Of Underlyi...mentioning

confidence: 99%

“…Degeneracy suggests that not only physiological patterns of activity such as theta and gamma oscillations but also pathological patterns might emerge due to multiple combinations of disparate mechanisms. For instance, hypersynchronous seizure-associated oscillations can arise from altered activity in several brain regions due to changes in disparate network components such as excitatory and inhibitory transmission or cell-specific intrinsic properties (Farrell et al, 2019;Rathour and Narayanan, 2019;Sinha and Narayanan, 2022;Codadu et al, 2019;El Houssaini et al, 2020;Weng et al, 2020).…”

Section: Similar Lfp and Eeg Discharges Despite Diversity Of Underlyi...mentioning

confidence: 99%

See 2 more Smart Citations

Degeneracy in epilepsy: Multiple Routes to Hyperexcitable Brain Circuits and their Repair

Stöber¹,

Batulin²,

Triesch³

et al. 2022

Preprint

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Due to its complex and multifaceted nature, developing effective treatments against epilepsy is still a major challenge. To deal with this complexity we introduce the concept of degeneracy to the field of epilepsy research: the ability of disparate elements to cause an analogous (mal)function. Here, we review examples of epilepsy-related degeneracy at multiple levels of brain organization, ranging from the cellular to the network and systems level. Based on these insights, we outline new approaches to disentangle the complex web of interactions underlying epilepsy and to design personalized multitarget therapies.

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Section: Similar Lfp and Eeg Discharges Despite Diversity Of Underlyi...mentioning

confidence: 99%

Section: Similar Lfp and Eeg Discharges Despite Diversity Of Underlyi...mentioning

confidence: 99%

Section: Similar Lfp and Eeg Discharges Despite Diversity Of Underlyi...mentioning

confidence: 99%

See 1 more Smart Citation

Degeneracy in epilepsy: Multiple Routes to Hyperexcitable Brain Circuits and their Repair

Stöber¹,

Batulin²,

Triesch³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The local field potential (LFP) is the low-frequency component (below a few hundred Hertz) of the extracellular potential recorded in brain tissue that originates from the transmembrane currents in the vicinity of the recording electrode (Lindén et al, 2011; Buzsáki, Anastassiou, and Koch, 2012; Einevoll et al, 2013; Pesaran et al, 2018; Sinha and Narayanan, 2021). While the high-frequency component of the extracellular potential, the single- or multi-unit activity (MUA), primarily reflects action potentials of one or more nearby neurons, the LFP predominantly stems from currents caused by synaptic inputs (Mitzdorf, 1985; Einevoll et al, 2007) and their associated return currents through the membranes.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex

Rimehaug

Stasik

Hagen

et al. 2022

Preprint

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Local field potential (LFP) recordings reflect the dynamics of the current source density (CSD) in brain tissue. The synaptic, cellular and circuit contributions to current sinks and sources are ill-understood. We investigated these in mouse primary visual cortex using public Neuropixels recordings and a detailed circuit model based on simulating the Hodgkin-Huxley dynamics of numerous cortical neurons belonging to 17 cell types. The model simultaneously captured spiking and CSD responses and demonstrated a two-way dissociation: Firing rates are altered with minor effects on the CSD pattern by adjusting synaptic weights, and CSD is altered with minor effects on firing rates by adjusting synaptic placement on the dendrites. We describe how thalamocortical inputs and recurrent connections sculpt specific sinks and sources early in the visual response, whereas cortical feedback crucially alters them in later stages. Our findings show that CSD analysis provides powerful constraints for modeling beyond those from considering spikes.

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Spatial learning impairments and discoordination of entorhinal‐hippocampal circuit coding following prolonged febrile seizures

et al. 2023

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How the development and function of neural circuits governing learning and memory are affected by insults in early life remains poorly understood. The goal of this study was to identify putative changes in cortico‐hippocampal signaling mechanisms that could lead to learning and memory deficits in a clinically relevant developmental pathophysiological rodent model, Febrile status epilepticus (FSE). FSE in both pediatric cases and the experimental animal model, is associated with enduring physiological alterations of the hippocampal circuit and cognitive impairment. Here, we deconstruct hippocampal circuit throughput by inducing slow theta oscillations in rats under urethane anesthesia and isolating the dendritic compartments of CA1 and dentate gyrus subfields, their reception of medial and lateral entorhinal cortex inputs, and the efficacy of signal propagation to each somatic cell layer. We identify FSE‐induced theta‐gamma decoupling at cortical synaptic input pathways and altered signal phase coherence along the CA1 and dentate gyrus somatodendritic axes. Moreover, increased DG synaptic activity levels are predictive of poor cognitive outcomes. We propose that these alterations in cortico‐hippocampal coordination interfere with the ability of hippocampal dendrites to receive, decode and propagate neocortical inputs. If this frequency‐specific syntax is necessary for cortico‐hippocampal coordination and spatial learning and memory, its loss could be a mechanism for FSE cognitive comorbidities.

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Active Dendrites and Local Field Potentials: Biophysical Mechanisms and Computational Explorations

Cited by 23 publications

References 561 publications

Degeneracy in epilepsy: Multiple Routes to Hyperexcitable Brain Circuits and their Repair

Degeneracy in epilepsy: Multiple Routes to Hyperexcitable Brain Circuits and their Repair

Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex

Spatial learning impairments and discoordination of entorhinal‐hippocampal circuit coding following prolonged febrile seizures

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