Literature DB >> 21145917

An automated method for detection of layer activation order in information processing pathway of rat barrel cortex under mechanical whisker stimulation.

Mufti Mahmud1, Elisabetta Pasqualotto, Alessandra Bertoldo, Stefano Girardi, Marta Maschietto, Stefano Vassanelli.   

Abstract

Rodents perform object localization, texture and shape discrimination very precisely through whisking. During whisking, microcircuits in corresponding barrel columns get activated to segregate and integrate tactile information through the information processing pathway. Sensory signals are projected through the brainstem and thalamus to the corresponding 'barrel columns' where different cortical layers are activated during signal projection. Therefore, having precise information about the layer activation order is desirable to better understand this signal processing pathway. This work proposes an automated, computationally efficient and easy to implement method to determine the cortical layer activation from intracortically recorded local field potentials (LFPs) and derived current source density (CSD) profiles: 1. Barrel cortex LFPs are represented by a template of four subsequent events: small positive/negative (E1) → large negative (E2) → slow positive (E3)→ slow long negative (E4). The method exploits the layer specific characteristics of LFPs to obtain latencies of the individual events (E1–E4), then taking the latency of E2 for calculating the layer activation order. 2. The corresponding CSD profile is calculated from the LFPs and the first sink’s peak is considered as a reference point to calculate latencies and evaluate the layer activation order. Other reference points require manual calculation. Similar results of layer activation sequence are found using LFPs and CSDs. Extensive tests on LFPs recorded using standard borosilicate micropipettes demonstrated the method's workability. An interpretation of layer activation order and CSD profiles on the basis of a simplified interacortical barrel column architecture is also provided.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21145917     DOI: 10.1016/j.jneumeth.2010.11.024

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  6 in total

1.  Intranasal Oxytocin and Vasopressin Modulate Divergent Brainwide Functional Substrates.

Authors:  Alberto Galbusera; Alessia De Felice; Stefano Girardi; Giacomo Bassetto; Marta Maschietto; Katsuhiko Nishimori; Bice Chini; Francesco Papaleo; Stefano Vassanelli; Alessandro Gozzi
Journal:  Neuropsychopharmacology       Date:  2016-12-20       Impact factor: 7.853

2.  SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals.

Authors:  Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; M Shamim Kaiser; Alberto Averna; David J Guggenmos; Randolph J Nudo; Michela Chiappalone; Jianhui Chen
Journal:  Brain Inform       Date:  2021-07-20

3.  Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation.

Authors:  Maria Rubega; Claudia Cecchetto; Stefano Vassanelli; Giovanni Sparacino
Journal:  Source Code Biol Med       Date:  2017-02-07

4.  Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning.

Authors:  Dong Li; Melissa Zavaglia; Guangyu Wang; Hong Xie; Yi Hu; Rene Werner; Ji-Song Guan; Claus C Hilgetag
Journal:  Sci Rep       Date:  2019-05-15       Impact factor: 4.379

5.  Dampened Slow Oscillation Connectivity Anticipates Amyloid Deposition in the PS2APP Mouse Model of Alzheimer's Disease.

Authors:  Alessandro Leparulo; Mufti Mahmud; Elena Scremin; Tullio Pozzan; Stefano Vassanelli; Cristina Fasolato
Journal:  Cells       Date:  2019-12-24       Impact factor: 6.600

Review 6.  Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges.

Authors:  Mufti Mahmud; Stefano Vassanelli
Journal:  Front Neurosci       Date:  2016-06-02       Impact factor: 4.677

  6 in total

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