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Schizophrenia Research Forum: Researcher Profile - Jose Bargas
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Researcher Profile - Jose Bargas

First Name:Jose
Last Name:Bargas
Advanced Degrees:MD PhD
Affiliation:Division de Neurociencias. Instituto de Fisiologia Celular. Universidad Nacional Autonoma de Mexico
Department:Cognitive Neuroscience
Street Address 1:PO BOX 70-253 CU
Street Address 2:Circuito exteriro s/n
City:Mexico City
Zip/Postal Code:04510
Phone:5255 5622 5670
Fax:5255 5622 4757
Email Address:
(view policy) 
Member reports no financial or other potential conflicts of interest. [Last Modified: 6 September 2010]
View all comments by Jose Bargas
Clinical Interests:
Anxiety disorders , Attention-deficit hyperactivity disorder (ADHD, ADD) , Borderline personality disorder, Drug abuse, Schizophrenia, Depression
Research Focus:
Electrophysiology, Signal transduction, Neurotransmission, Pharmacology, GABAergic transmission, Glutamatergic transmission
Work Sector(s):
University, Research institute
Web Sites:
Reasearcher Bio
Degrees: M.D. Yucatan College of Medicine. University of Yucatan. August 1979. M. Sci. (Physiology) December, 1982. Center of Advanced Studies (CINVESTAV). Mexico City. D. Sci. (Neurosciences) October 1986. CINVESTAV. Mexico City. Positions: Full Professor. Institute for Cell Physiology at the National University of Mexico (UNAM) Professor of Medical Physiology. College of Medicine. UNAM.
Top Papers
1. Jáidar O, Carrillo-Reid L, Hernández A, Drucker-Colín R, Bargas J, Hernández-Cruz A. (2010). Dynamics of the parkinsonian striatal microcircuit: entrainment into a dominant network state. Journal of Neuroscience 30: 11326-11336.

2. Flores-Barrera E, Vizcarra-Chacón BJ, Tapia D, Bargas J and Galarraga E (2010) Different corticostriatal integration in spiny projection neurons from direct and indirect pathways. Frontiers in System Neuroscience 4:15. doi: 10.3389/fnsys.2010.00015.

3. Tecuapetla F, Carrillo-Reid L, Bargas J, Galárraga E. (2007) Dopaminergic modulation of short term synaptic plasticity at striatal inhibitory synapses. Proceedings of the National Academy of Sciences USA: 104: 10258-10263.

4. Guzmán J.N., Hernandez A., Galarraga E., Tapia D., Laville A., Vergara R., Aceves J., Bargas J (2003) Dopaminergic Modulation of Axon Collaterals Interconnecting Spiny Neurons of the Rat Striatum. Journal of Neuroscience, 23: 8931-8940.

5. Hernández-López S, Tkatch T, Pérez-Garci E, Galarraga E, Bargas J, Hamm H, Surmeier, DJ. (2000) D2 dopamine receptors in striatal medium spiny neurons reduce L-type Ca2+ currents and excitability through a novel PLC1 / IP3 / calcineurin signaling cascade. Journal of Neuroscience 20: 8987-8995.

6. Galarraga E, Hernández-López S, Reyes A, Miranda I, Bermudez-Rattoni F, Vilchis C, Bargas J. (1999) Cholinergic modulation of neostriatal output: a functional antagonism between different types of muscarinic receptors. Journal of Neuroscience 19: 3629 - 3638.

7. Hernández-López S, Bargas J, Surmeier DJ, Reyes A, Galarraga E (1997) D1 receptor activation enhances evoked discharge in neostriatal medium spiny neurons by modulating an L-type Ca2+-conductance. Journal of Neuroscience 17: 3334-3342.

8. Surmeier DJ, Bargas J, Hemmings HC, Nairn AC and Greengard P. (1995) Modulation of calcium currents by a D1 dopaminergic protein kinase/phosphatase cascade in rat neostriatal neurons. Neuron 14: 385-397.

9. Bargas J, Howe A, Eberwine J, Cao Y and Surmeier DJ. (1994) Cellular and molecular characterization of Ca2+ currents in acutely isolated, adult rat neostriatal neurons. Journal of Neuroscience 14: 6667-6686.

10. Carrillo-Reid L, Tecuapetla F, Tapia D, Hernandez-Cruz A, Galarraga E, Drucker-Colin R, Bargas J (2008) Encoding Network States by Striatal Cell Assemblies. Journal of Neurophysiology 99: 1435-1450.

What are the top three papers (not yours) you have read recently?
1. Kravitz AV, Freeze BS, Parker PR, Kay K, Thwin MT, Deisseroth K, Kreitzer AC. Regulation of parkinsonian motor behaviours by optogenetic control of basal ganglia circuitry. Nature. 2010 Jul 29;466(7306):622-6.

2. Ikegaya Y, Aaron G, Cossart R, Aronov D, Lampl I, Ferster D, Yuste R. Synfire chains and cortical songs: temporal modules of cortical activity. Science. 2004 Apr 23;304(5670):559-64.

3. Fuchs EC, Zivkovic AR, Cunningham MO, Middleton S, Lebeau FE, Bannerman DM, Rozov A, Whittington MA, Traub RD, Rawlins JN, Monyer H. Recruitment of parvalbumin-positive interneurons determines hippocampal function and associated behavior.
Neuron. 2007 Feb 15;53(4):591-604.
If resources were not limited, what research projects would you pursue?
Microcircuit analysis, identifying neuronal types and the rules that govern their interactions including rhythms generation. Ideally using optogenetics, GFP labeled neurons, calcium imaging and electrophysiology, caged compounds and neuronal identification during circuit dynamics on-line.

Taxonomy of channels and receptors is almost done, signaling cascades are a mess, but circuits is at its beginnings.
What is your leading hypothesis?
Microcircuits, perhaps composed of cell assemblies or networks change states dynamically either to perform different tasks, or to focus attention or just to follow an habit. The anomalous working of networks are the basis of disease and are produced by the following correlated phenomena: anomalous or non proper rhythm-pattern generator, neurons are absorbed-engaged into these generators, dynamic flow of activity is interrupted (as a scratched disk) due to this engagement. Circuits get into loops and don´t let the neurons play and switch into their normal games. We have found a way of studying this behavior in vitro, at least.
What piece of missing evidence would help prove it?
To record the pathological dominant state using calcium imaging in correlation with electrophysiology and behavior plus manipulation of that state on and off identifying the neurons involved.

Why the excess pr absence of a distributed modulator such as dopamine or acetylcholine induce the appearance of those states.
What is your fallback position?
Because I work in Mexico it is hard for me to acquire the most sophisticated technology, however, although this technology yields great data, most time researchers do not know what to do with it. Modeling is a mess because they force the data into rigid networks, frequently, non-biological ones.

Thus, to design analytical approaches even if technology is not the best and the impact of the journals is not the highest, has proven productive in terms of original discoveries. Even if they are published again with better technology later.

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