Low-cost and versatile electrodes for extracellular chronic recordings in rodents

França, Arthur S. C.; Hulten, Josephus A. van; Cohen, Michael X

doi:10.1016/j.heliyon.2020.e04867

Cited by 17 publications

(13 citation statements)

References 27 publications

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“…The self-made electrode arrays used in the present work were custom-designed to target three different regions of the mouse brain: CA1-HC, PAR, and mPFC. A detailed description of the arrays and the manufacturing process can be verified (França et al, 2020b ). Briefly, there were 16 channels aiming at mPFC (spread in the coordinates AP: 0.5 and 1.5; ML: 0.25 and 0.75; in three columns of electrodes in different depths −2.0, 1.5 and 1.0), eight channels at PAR (AP: −2 and −2.25; ML: 1.0 and 1.75; DV: 0.5) and eight channels at HC (AP −2.5 and −2.75; ML: 1.0 and 1.75; DV: 1.5).…”

Section: Methodsmentioning

confidence: 99%

Beta2 Oscillations in Hippocampal-Cortical Circuits During Novelty Detection

França

Borgesius

Souza

et al. 2021

Front. Syst. Neurosci.

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Novelty detection is a core feature of behavioral adaptation and involves cascades of neuronal responses—from initial evaluation of the stimulus to the encoding of new representations—resulting in the behavioral ability to respond to unexpected inputs. In the past decade, a new important novelty detection feature, beta2 (~20–30 Hz) oscillations, has been described in the hippocampus (HC). However, the interactions between beta2 and the hippocampal network are unknown, as well as the role—or even the presence—of beta2 in other areas involved with novelty detection. In this work, we combined multisite local field potential (LFP) recordings with novelty-related behavioral tasks in mice to describe the oscillatory dynamics associated with novelty detection in the CA1 region of the HC, parietal cortex, and mid-prefrontal cortex. We found that transient beta2 power increases were observed only during interaction with novel contexts and objects, but not with familiar contexts and objects. Also, robust theta-gamma phase-amplitude coupling was observed during the exploration of novel environments. Surprisingly, bursts of beta2 power had strong coupling with the phase of delta-range oscillations. Finally, the parietal and mid-frontal cortices had strong coherence with the HC in both theta and beta2. These results highlight the importance of beta2 oscillations in a larger hippocampal-cortical circuit, suggesting that beta2 plays a role in the mechanism for detecting and modulating behavioral adaptation to novelty.

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Section: Methodsmentioning

confidence: 99%

Beta2 Oscillations in Hippocampal-Cortical Circuits During Novelty Detection

França

Borgesius

Souza

et al. 2021

Front. Syst. Neurosci.

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“…Additionally, the configuration can be adjusted to sample data from both hemispheres concurrently. França et al ( 30 ) built a similar stationary probe to record field potentials and multi-unit activity in rodents also compatible with the Intan/Open-ephys system. Their design features a 16–32 channel array of 35–50 μm tungsten wires that is also time and cost-efficient to make (3 h; $100).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the major difference in the two probes is the arrangement of electrode recording sites. França et al ( 30 ) harness a “grid-like” design (3 × 10 with 250 μm between wires), facilitating the ease of fabrication, but limiting simultaneously accessible recording sites to those in close proximity. An advantage of our probe therefore is that all 8 cannula are built independently and can target different AP/ML coordinates, providing the ability to measure widespread signals across the brain.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, ensuring at least some common brain circuitry (i.e., orbitofrontal involvement on the same task across species) is an important step in validating the translational utility of such tasks. In animal models in particular, electrophysiology recordings spanning across different temporal and spatial scales (i.e., single units and field potentials) is instrumental for comparing neural circuits across species (29)(30)(31) and to further investigate abnormal rhythmic or voltage patterns observed during disease states (3,32). Single unit activity has long been the "gold-standard" of understanding how activity in particular brain regions is linked with behavior (33,34).…”

Section: Introductionmentioning

confidence: 99%

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Chronic, Multi-Site Recordings Supported by Two Low-Cost, Stationary Probe Designs Optimized to Capture Either Single Unit or Local Field Potential Activity in Behaving Rats

et al. 2021

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Rodent models of cognitive behavior have greatly contributed to our understanding of human neuropsychiatric disorders. However, to elucidate the neurobiological underpinnings of such disorders or impairments, animal models are more useful when paired with methods for measuring brain function in awake, behaving animals. Standard tools used for systems-neuroscience level investigations are not optimized for large-scale and high-throughput behavioral battery testing due to various factors including cost, time, poor longevity, and selective targeting limited to measuring only a few brain regions at a time. Here we describe two different “user-friendly” methods for building extracellular electrophysiological probes that can be used to measure either single units or local field potentials in rats performing cognitive tasks. Both probe designs leverage several readily available, yet affordable, commercial products to facilitate ease of production and offer maximum flexibility in terms of brain-target locations that can be scalable (32–64 channels) based on experimental needs. Our approach allows neural activity to be recorded simultaneously with behavior and compared between micro (single unit) and more macro (local field potentials) levels of brain activity in order to gain a better understanding of how local brain regions and their connected networks support cognitive functions in rats. We believe our novel probe designs make collecting electrophysiology data easier and will begin to fill the gap in knowledge between basic and clinical research.

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“…Interelectrode distance was 250 μm and typical impedances were between 0.1 and 0.9 MΩ. More details about how to build these kinds of custom-designed electrodes are presented elsewhere ( França et al, 2020 ). A metal reference screw was placed on the skull over the cerebellum (AP: −5, ML: 1.0, DV: 0.5), which was lowered until contact with the cerebrospinal fluid but avoided contact with the superior sagittal sinus and inferior cerebellar vein.…”

Section: Methodsmentioning

confidence: 99%

Large-Scale and Multiscale Networks in the Rodent Brain during Novelty Exploration

Cohen

Englitz

França

2021

eNeuro

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Neural activity is coordinated across multiple spatial and temporal scales, and these patterns of coordination are implicated in both healthy and impaired cognitive operations. However, empirical cross-scale investigations are relatively infrequent, due to limited data availability and to the difficulty of analyzing rich multivariate datasets. Here we applied frequency-resolved multivariate sourceseparation analyses to characterize a large-scale dataset comprising spiking and local field potential activity recorded simultaneously in three brain regions (prefrontal cortex, parietal cortex, hippocampus) in freely-moving mice. We identified a constellation of multidimensional, interregional networks across a range of frequencies (2-200 Hz). These networks were reproducible within animals across different recording sessions, but varied across different animals, suggesting individual variability in network architecture. The theta band (~4-10 Hz) networks had several prominent features, including roughly equal contribution from all regions and strong inter-network synchronization. Overall, these findings demonstrate a multidimensional landscape of large-scale functional activations of cortical networks operating across multiple spatial, spectral, and temporal scales during open-field exploration. Significance statementNeural activity is synchronized over space, time, and frequency. To characterize the dynamics of large-scale networks spanning multiple brain regions, we recorded data from the prefrontal cortex, parietal cortex, and hippocampus in awake behaving mice, and pooled data from spiking activity and local field potentials into one data matrix. Frequency-specific multivariate decomposition methods revealed a cornucopia of neural networks defined by coherent spatiotemporal patterns over time.These findings reveal a rich, dynamic, and multivariate landscape of large-scale neural activity patterns during foraging behavior.

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Low-cost and versatile electrodes for extracellular chronic recordings in rodents

Cited by 17 publications

References 27 publications

Beta2 Oscillations in Hippocampal-Cortical Circuits During Novelty Detection

Beta2 Oscillations in Hippocampal-Cortical Circuits During Novelty Detection

Chronic, Multi-Site Recordings Supported by Two Low-Cost, Stationary Probe Designs Optimized to Capture Either Single Unit or Local Field Potential Activity in Behaving Rats

Large-Scale and Multiscale Networks in the Rodent Brain during Novelty Exploration

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