Literature DB >> 26951948

Pathophysiological signatures of functional connectomics in parkinsonian and dyskinetic striatal microcircuits.

Jesús Pérez-Ortega1, Mariana Duhne1, Esther Lara-González1, Victor Plata1, Deisy Gasca2, Elvira Galarraga1, Arturo Hernández-Cruz1, José Bargas3.   

Abstract

A challenge in neuroscience is to integrate the cellular and system levels. For instance, we still do not know how a few dozen neurons organize their activity and relations in a microcircuit or module of histological scale. By using network theory and Ca(2+) imaging with single-neuron resolution we studied the way in which striatal microcircuits of dozens of cells orchestrate their activity. In addition, control and diseased striatal tissues were compared in rats. In the control tissue, functional connectomics revealed small-world, scale-free and hierarchical network properties. These properties were lost during pathological conditions in ways that could be quantitatively analyzed. Decorticated striatal circuits disclosed that corticostriatal interactions depend on privileged connections with a set of highly connected neurons or "hubs". In the 6-OHDA model of Parkinson's disease there was a decrease in hubs number; but the ones that remained were linked to dominant network states. l-DOPA induced dyskinesia provoked a loss in the hierarchical structure of the circuit. All these conditions conferred distinct temporal sequences to circuit activity. Temporal sequences appeared as particular signatures of disease process thus bringing the possibility of a future quantitative pathophysiology at a histological scale.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dyskinetic circuit; Network properties; Parkinsonian circuit; Striatal microcircuit; l-DOPA

Mesh:

Substances:

Year:  2016        PMID: 26951948     DOI: 10.1016/j.nbd.2016.02.023

Source DB:  PubMed          Journal:  Neurobiol Dis        ISSN: 0969-9961            Impact factor:   5.996


  14 in total

1.  Differential Synaptic Remodeling by Dopamine in Direct and Indirect Striatal Projection Neurons in Pitx3-/- Mice, a Genetic Model of Parkinson's Disease.

Authors:  Luz M Suarez; Samuel Alberquilla; Jose R García-Montes; Rosario Moratalla
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3.  Inflammatory cytokine-induced changes in neural network activity measured by waveform analysis of high-content calcium imaging in murine cortical neurons.

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Review 4.  Historical perspective of cell transplantation in Parkinson's disease.

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Journal:  World J Transplant       Date:  2017-06-24

5.  Microcircuits neuroscience to understand pathophysiology.

Authors:  José Bargas; Jesús Pérez-Ortega
Journal:  Oncotarget       Date:  2017-01-31

6.  Synchronized activation of striatal direct and indirect pathways underlies the behavior in unilateral dopamine-depleted mice.

Authors:  Omar Jáidar; Luis Carrillo-Reid; Yoko Nakano; Violeta Gisselle Lopez-Huerta; Arturo Hernandez-Cruz; José Bargas; Marianela Garcia-Munoz; Gordon William Arbuthnott
Journal:  Eur J Neurosci       Date:  2019-01-30       Impact factor: 3.386

7.  Long-term stability of cortical ensembles.

Authors:  Jesús Pérez-Ortega; Tzitzitlini Alejandre-García; Rafael Yuste
Journal:  Elife       Date:  2021-07-30       Impact factor: 8.140

8.  L-DOPA Oppositely Regulates Synaptic Strength and Spine Morphology in D1 and D2 Striatal Projection Neurons in Dyskinesia.

Authors:  Luz M Suarez; Oscar Solis; Carolina Aguado; Rafael Lujan; Rosario Moratalla
Journal:  Cereb Cortex       Date:  2016-10-17       Impact factor: 5.357

9.  Calcium currents in striatal fast-spiking interneurons: dopaminergic modulation of CaV1 channels.

Authors:  Ernesto Alberto Rendón-Ochoa; Teresa Hernández-Flores; Victor Hugo Avilés-Rosas; Verónica Alejandra Cáceres-Chávez; Mariana Duhne; Antonio Laville; Dagoberto Tapia; Elvira Galarraga; José Bargas
Journal:  BMC Neurosci       Date:  2018-07-16       Impact factor: 3.288

10.  Mouse corticospinal system comprises different functional neuronal ensembles depending on their hodology.

Authors:  Rafael Olivares-Moreno; Mónica López-Hidalgo; Alain Altamirano-Espinoza; Adriana González-Gallardo; Anaid Antaramian; Verónica Lopez-Virgen; Gerardo Rojas-Piloni
Journal:  BMC Neurosci       Date:  2019-09-23       Impact factor: 3.288

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