Gamma oscillations in the rat ventral striatum originate in the piriform cortex

Carmichael, James E.; Gmaz, Jimmie M.; Meer, Matthijs A. A. van der

doi:10.1101/127126

Cited by 10 publications

(12 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, their highest amplitude LFPs were at different parts of the maze (choice point versus post-reward), which are respectively associated with different cognitive processes. For example, 4 Hz has been described in coupling with amygdala, dopaminergic nuclei, and respiratory coordinating signals (e.g., Fujisawa and Buzsa ´ki, 28 Karalis et al, 72 and Carmichael et al 73 ), while theta rhythms in PFC and STR could be related to hippocampal theta. 27,29,30,[74][75][76] Moreover, during spatial exploration, theta rhythms synchronize the hippocampus and the vSTR, whereas during lever presses, vSTR is dominated by a transient low-frequency rhythm from the neocortex (e.g., Gruber et al; 77 for human decision-making, Stenner et al 78 and Horschig et al 79 ).…”

Section: Ll Open Accessmentioning

confidence: 99%

See 1 more Smart Citation

Distributed cell assemblies spanning prefrontal cortex and striatum

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: Ll Open Accessmentioning

confidence: 99%

“…Spectra were normalized to 1/f. Since there is controversy about the origin of some STR LFP oscillations, 73,97 two types of signals were analyzed. ''Raw'' signals from a single STR tetrode wire were referenced to the cerebellar skull screw.…”

Section: Local Field Potential (Lfp) Analysesmentioning

confidence: 99%

Distributed cell assemblies spanning prefrontal cortex and striatum

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Studies in the striatum of rodents report of gamma activity when analyzing spike and LFP from spatially separate tetrodes (Howe et al, 2011;Kalenscher et al, 2010;van der Meer et al, 2019;van der Meer et al, 2010), or have focused on LFP analysis without reporting local spike-LFP phase relationships (Catanese et al, 2016). Of note is that some forms of striatal gamma activity in the rodent do not have a local origin (Carmichael et al, 2017). However, the ASR method is agnostic to the source of possible oscillations or to the cell and membrane configurations giving rise to the LFP, and is focused just on removing the spike.…”

Section: A Window Into Beta and Gamma Band Synchronization Within A 200 μM Microcircuitmentioning

confidence: 99%

Adaptive spike-artifact removal from local field potentials uncovers prominent beta and gamma band neuronal synchronization

Boroujeni

Tiesinga

Womelsdorf

2020

Journal of Neuroscience Methods

View full text Add to dashboard Cite

Background: Many neurons synchronize their action potentials to the phase of local field potential (LFP) fluctuations in one or more frequency bands. Analyzing this spike-to-LFP synchronization is challenging, however, when neural spikes and LFP are generated in the same local circuit, because the spike's action potential waveform leak into the LFP and distort phase synchrony estimates. Existing approaches to address this spike bleed-through artifact relied on removing the average action potential waveforms of neurons, but this leaves artifacts in the LFP and distorts synchrony estimates. New Method:We describe a spike-removal method that surpasses these limitations by decomposing individual action potentials into their frequency components before their removal from the LFP. The adaptively estimated frequency components allow for variable spread, strength and temporal variation of the spike artifact.Results: This adaptive approach effectively removes spike bleed-through artifacts in synthetic data with known ground truth, and in single neuron and LFP recordings in nonhuman primate striatum. For a large population of neurons with both narrow and broad action potential waveforms, the use of adaptive artifact removal uncovered 20-35 Hz beta and 35-45 Hz gamma band spike-LFP synchronization that would have remained contaminated otherwise. Comparison with Existing Methods:We demonstrate that adaptive spike-artifact removal cleans LFP data that remained contaminated when applying existing Bayesian and non-Bayesian methods of average spike-artifact removal.

show abstract

“…Related concerns also limit our ability to fully characterize the neuronal origins of our striatal LFPs. While some studies support a local origin for striatal LFP activity (e.g., DeCoteau et al, 2007a; Tanaka & Nakamura, 2019; Tingley, Alexander, Quinn, Chiba, & Nitz, 2018), the nonlaminar organization of the striatum may cause currents generated within the striatum to cancel and thereby render the striatal LFP particularly sensitive to volume‐conducted signals generated within nearby structures including the hippocampus (Carmichael, Gmaz, & Meer, 2017; Lalla, Orozco, Jurado‐Parras, Brovelli, & Robbe, 2017). Should the striatal theta activity observed in the present study primarily have a non‐striatal origin, theta coherence and phase‐differences detailed herein may reflect behavioral strategy‐dependent alterations in neuronal activity within hippocampal networks as opposed to across multiple memory systems as detailed above.…”

Section: Discussionmentioning

confidence: 99%

Interindividual differences in memory system local field potential activity predict behavioral strategy on a dual‐solution T‐maze

et al. 2020

View full text Add to dashboard Cite

Individuals can use diverse behavioral strategies to navigate their environment including hippocampal-dependent place strategies reliant upon cognitive maps and striatal-dependent response strategies reliant upon egocentric body turns. The existence of multiple memory systems appears to facilitate successful navigation across a wide range of environmental and physiological conditions. The mechanisms by which these systems interact to ultimately generate a unitary behavioral response, however, remain unclear. We trained 20 male, Sprague-Dawley rats on a dual-solution T-maze while simultaneously recording local field potentials that were targeted to the dorsolateral striatum and dorsal hippocampus. Eight rats spontaneously exhibited a place strategy while the remaining 12 rats exhibited a response strategy. Interindividual differences in behavioral strategy were associated with distinct patterns of LFP activity between the dorsolateral striatum and dorsal hippocampus. Specifically, striatalhippocampal theta activity was in-phase in response rats and out-of-phase in place rats and response rats exhibited elevated striatal-hippocampal coherence across a wide range of frequency bands. These contrasting striatal-hippocampal activity regimes were (a) present during both maze-learning and a 30 min premaze habituation period and (b) could be used to train support vector machines to reliably predict behavioral strategy. Distinct patterns of neuronal activity across multiple memory systems, therefore, appear to bias behavioral strategy selection and thereby contribute to interindividual differences in behavior.

show abstract

Gamma oscillations in the rat ventral striatum originate in the piriform cortex

Abstract: Word Count: 174

Cited by 10 publications

References 66 publications

Distributed cell assemblies spanning prefrontal cortex and striatum

Distributed cell assemblies spanning prefrontal cortex and striatum

Adaptive spike-artifact removal from local field potentials uncovers prominent beta and gamma band neuronal synchronization

Interindividual differences in memory system local field potential activity predict behavioral strategy on a dual‐solution T‐maze

Contact Info

Product

Resources

About