Literature DB >> 27351591

Integration of silicon-based neural probes and micro-drive arrays for chronic recording of large populations of neurons in behaving animals.

Frédéric Michon1, Arno Aarts, Tobias Holzhammer, Patrick Ruther, Gustaaf Borghs, Bruce McNaughton, Fabian Kloosterman.   

Abstract

OBJECTIVE: Understanding how neuronal assemblies underlie cognitive function is a fundamental question in system neuroscience. It poses the technical challenge to monitor the activity of populations of neurons, potentially widely separated, in relation to behaviour. In this paper, we present a new system which aims at simultaneously recording from a large population of neurons from multiple separated brain regions in freely behaving animals. APPROACH: The concept of the new device is to combine the benefits of two existing electrophysiological techniques, i.e. the flexibility and modularity of micro-drive arrays and the high sampling ability of electrode-dense silicon probes. MAIN
RESULTS: Newly engineered long bendable silicon probes were integrated into a micro-drive array. The resulting device can carry up to 16 independently movable silicon probes, each carrying 16 recording sites. Populations of neurons were recorded simultaneously in multiple cortical and/or hippocampal sites in two freely behaving implanted rats. SIGNIFICANCE: Current approaches to monitor neuronal activity either allow to flexibly record from multiple widely separated brain regions (micro-drive arrays) but with a limited sampling density or to provide denser sampling at the expense of a flexible placement in multiple brain regions (neural probes). By combining these two approaches and their benefits, we present an alternative solution for flexible and simultaneous recordings from widely distributed populations of neurons in freely behaving rats.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27351591     DOI: 10.1088/1741-2560/13/4/046018

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  15 in total

1.  Real-Time Readout of Large-Scale Unsorted Neural Ensemble Place Codes.

Authors:  Sile Hu; Davide Ciliberti; Andres D Grosmark; Frédéric Michon; Daoyun Ji; Hector Penagos; György Buzsáki; Matthew A Wilson; Fabian Kloosterman; Zhe Chen
Journal:  Cell Rep       Date:  2018-12-04       Impact factor: 9.423

2.  A Materials Roadmap to Functional Neural Interface Design.

Authors:  Steven M Wellman; James R Eles; Kip A Ludwig; John P Seymour; Nicholas J Michelson; William E McFadden; Alberto L Vazquez; Takashi D Y Kozai
Journal:  Adv Funct Mater       Date:  2017-07-19       Impact factor: 18.808

Review 3.  Decision-making behaviors: weighing ethology, complexity, and sensorimotor compatibility.

Authors:  Ashley L Juavinett; Jeffrey C Erlich; Anne K Churchland
Journal:  Curr Opin Neurobiol       Date:  2017-11-25       Impact factor: 6.627

4.  Large-scale recording of thalamocortical circuits: in vivo electrophysiology with the two-dimensional electronic depth control silicon probe.

Authors:  Richárd Fiáth; Patrícia Beregszászi; Domonkos Horváth; Lucia Wittner; Arno A A Aarts; Patrick Ruther; Hercules P Neves; Hajnalka Bokor; László Acsády; István Ulbert
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

5.  Cellular-scale silicon probes for high-density, precisely localized neurophysiology.

Authors:  Daniel Egert; Jeffrey R Pettibone; Stefan Lemke; Paras R Patel; Ciara M Caldwell; Dawen Cai; Karunesh Ganguly; Cynthia A Chestek; Joshua D Berke
Journal:  J Neurophysiol       Date:  2020-09-23       Impact factor: 2.714

Review 6.  Deciphering Neural Codes of Memory during Sleep.

Authors:  Zhe Chen; Matthew A Wilson
Journal:  Trends Neurosci       Date:  2017-04-05       Impact factor: 13.837

7.  A 250 μm × 57 μm Microscale Opto-electronically Transduced Electrodes (MOTEs) for Neural Recording.

Authors:  Sunwoo Lee; Alejandro Javier Cortese; Aasta Parin Gandhi; Elizabeth Rose Agger; Paul L McEuen; Alyosha Christopher Molnar
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-10-15       Impact factor: 3.833

8.  Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons.

Authors:  Roger N Lemon; Stuart N Baker; Alexander Kraskov
Journal:  Cereb Cortex       Date:  2021-10-01       Impact factor: 5.357

9.  Comparative Performance of Linear Multielectrode Probes and Single-Tip Electrodes for Intracortical Microstimulation and Single-Neuron Recording in Macaque Monkey.

Authors:  Carolina G Ferroni; Monica Maranesi; Alessandro Livi; Marco Lanzilotto; Luca Bonini
Journal:  Front Syst Neurosci       Date:  2017-11-15

10.  Concurrent recordings of hippocampal neuronal spikes and prefrontal synaptic inputs from an awake rat.

Authors:  Yuya Nishimura; Yuji Ikegaya; Takuya Sasaki
Journal:  STAR Protoc       Date:  2021-06-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.