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Bachatene L, Bharmauria V, Cattan S, Chanauria N, Rouat J, Molotchnikoff S. Summation of connectivity strengths in the visual cortex reveals stability of neuronal microcircuits after plasticity. BMC Neurosci 2015; 16:64. [PMID: 26453336 PMCID: PMC4600218 DOI: 10.1186/s12868-015-0203-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 09/30/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Within sensory systems, neurons are continuously affected by environmental stimulation. Recently, we showed that, on cell-pair basis, visual adaptation modulates the connectivity strength between similarly tuned neurons to orientation and we suggested that, on a larger scale, the connectivity strength between neurons forming sub-networks could be maintained after adaptation-induced-plasticity. In the present paper, based on the summation of the connectivity strengths, we sought to examine how, within cell-assemblies, functional connectivity is regulated during an exposure-based adaptation. RESULTS Using intrinsic optical imaging combined with electrophysiological recordings following the reconfiguration of the maps of the primary visual cortex by long stimulus exposure, we found that within functionally connected cells, the summed connectivity strengths remain almost equal although connections among individual pairs are modified. Neuronal selectivity appears to be strongly associated with neuronal connectivity in a "homeodynamic" manner which maintains the stability of cortical functional relationships after experience-dependent plasticity. CONCLUSIONS Our results support the "homeostatic plasticity concept" giving new perspectives on how the summation in visual cortex leads to the stability within labile neuronal ensembles, depending on the newly acquired properties by neurons.
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Affiliation(s)
- Lyes Bachatene
- Laboratoire de Neurosciences de la vision, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. .,Neurosciences Computationnelles et Traitement Intelligent des Signaux (NECOTIS), Département de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Vishal Bharmauria
- Laboratoire de Neurosciences de la vision, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. .,Neurosciences Computationnelles et Traitement Intelligent des Signaux (NECOTIS), Département de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Sarah Cattan
- Laboratoire de Neurosciences de la vision, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. .,Neurosciences Computationnelles et Traitement Intelligent des Signaux (NECOTIS), Département de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Nayan Chanauria
- Laboratoire de Neurosciences de la vision, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. .,Neurosciences Computationnelles et Traitement Intelligent des Signaux (NECOTIS), Département de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Jean Rouat
- Laboratoire de Neurosciences de la vision, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. .,Neurosciences Computationnelles et Traitement Intelligent des Signaux (NECOTIS), Département de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Stéphane Molotchnikoff
- Laboratoire de Neurosciences de la vision, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. .,Neurosciences Computationnelles et Traitement Intelligent des Signaux (NECOTIS), Département de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada.
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Bachatene L, Bharmauria V, Cattan S, Rouat J, Molotchnikoff S. Modulation of functional connectivity following visual adaptation: homeostasis in V1. Brain Res 2015; 1594:136-53. [PMID: 25451112 DOI: 10.1016/j.brainres.2014.10.054] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Revised: 10/24/2014] [Accepted: 10/26/2014] [Indexed: 11/28/2022]
Abstract
Sensory neurons exhibit remarkable adaptability in acquiring new optimal selectivity to unfamiliar features when a new stimulus becomes prevalent in the environment. In conventionally prepared adult anesthetized cats, we used visual adaptation to change the preferred orientation selectivity in V1 neurons. Cortical circuits are dominated by complex and intricate connections between neurons. Cross-correlation of cellular spike-trains discloses the putative functional connection between two neurons. We sought to investigate changes in these links following a 12 min uninterrupted application of a specific, usually non-preferred, orientation. We report that visual adaptation, mimicking training, modulates the magnitude of crosscorrelograms suggesting that the strength of inter-neuronal relationships is modified. While individual cell-pairs exhibit changes in their response correlation strength, the average correlation of the recorded cell cluster remains unchanged. Hence, visual adaptation induces plastic changes that impact the connectivity between neurons.
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Affiliation(s)
- L Bachatene
- Laboratoire de Neurosciences de la Vision, Département de Sciences Biologiques, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, QC, Canada H3C 3J7; Neurosciences Computationnelles et Traitement Intelligent des Signaux-NECOTIS, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - V Bharmauria
- Laboratoire de Neurosciences de la Vision, Département de Sciences Biologiques, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, QC, Canada H3C 3J7; Neurosciences Computationnelles et Traitement Intelligent des Signaux-NECOTIS, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - S Cattan
- Laboratoire de Neurosciences de la Vision, Département de Sciences Biologiques, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, QC, Canada H3C 3J7; Neurosciences Computationnelles et Traitement Intelligent des Signaux-NECOTIS, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - J Rouat
- Laboratoire de Neurosciences de la Vision, Département de Sciences Biologiques, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, QC, Canada H3C 3J7; Neurosciences Computationnelles et Traitement Intelligent des Signaux-NECOTIS, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - S Molotchnikoff
- Laboratoire de Neurosciences de la Vision, Département de Sciences Biologiques, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, QC, Canada H3C 3J7; Neurosciences Computationnelles et Traitement Intelligent des Signaux-NECOTIS, Université de Sherbrooke, Sherbrooke, QC, Canada.
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Cattan S, Bachatene L, Bharmauria V, Jeyabalaratnam J, Milleret C, Molotchnikoff S. Comparative analysis of orientation maps in areas 17 and 18 of the cat primary visual cortex following adaptation. Eur J Neurosci 2014; 40:2554-63. [DOI: 10.1111/ejn.12616] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 04/07/2014] [Accepted: 04/10/2014] [Indexed: 11/28/2022]
Affiliation(s)
- Sarah Cattan
- Département de sciences biologiques; Université de Montréal; Pavillon Marie-Victorin, C.P. 6128, succ. Centre-ville Montréal QC H3C 3J7 Canada
| | - Lyes Bachatene
- Département de sciences biologiques; Université de Montréal; Pavillon Marie-Victorin, C.P. 6128, succ. Centre-ville Montréal QC H3C 3J7 Canada
| | - Vishal Bharmauria
- Département de sciences biologiques; Université de Montréal; Pavillon Marie-Victorin, C.P. 6128, succ. Centre-ville Montréal QC H3C 3J7 Canada
| | - Jeyadarshan Jeyabalaratnam
- Département de sciences biologiques; Université de Montréal; Pavillon Marie-Victorin, C.P. 6128, succ. Centre-ville Montréal QC H3C 3J7 Canada
| | - Chantal Milleret
- Neural Bases of Spatial Memory and Navigation; CIRB - Collège de France (CNRS UMR 7241, INSERM U1050, UPMC ED 158, MEMOLIFE PSL); Paris France
| | - Stéphane Molotchnikoff
- Département de sciences biologiques; Université de Montréal; Pavillon Marie-Victorin, C.P. 6128, succ. Centre-ville Montréal QC H3C 3J7 Canada
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Adaptation shifts preferred orientation of tuning curve in the mouse visual cortex. PLoS One 2013; 8:e64294. [PMID: 23717586 PMCID: PMC3662720 DOI: 10.1371/journal.pone.0064294] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Accepted: 04/10/2013] [Indexed: 11/19/2022] Open
Abstract
In frontalized mammals it has been demonstrated that adaptation produces shift of the peak of the orientation tuning curve of neuron following frequent or lengthier presentation of a non-preferred stimulus. Depending on the duration of adaptation the shift is attractive (toward the adapter) or repulsive (away from the adapter). Mouse exhibits a salt-and-pepper cortical organization of orientation maps, hence this species may respond differently to adaptation. To examine this question, we determined the effect of twelve minutes of adaptation to one particular orientation on neuronal orientation tuning curves in V1 of anesthetized mice. Multi-unit activity of neurons in V1 was recorded in a conventional fashion. Cells were stimulated with sine-wave drifting gratings whose orientation tilted in steps. Results revealed that similarly to cats and monkeys, majority of cells shifted their optimal orientation in the direction of the adapter while a small proportion exhibited a repulsive shift. Moreover, initially untuned cells showing poor tuning curves reacted to adaptation by displaying sharp orientation selectivity. It seems that modification of the cellular property following adaptation is a general phenomenon observed in all mammals in spite of the different organization pattern of the visual cortex. This study is of pertinence to comprehend the mechanistic pathways of brain plasticity.
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Bachatene L, Bharmauria V, Cattan S, Molotchnikoff S. Fluoxetine and serotonin facilitate attractive-adaptation-induced orientation plasticity in adult cat visual cortex. Eur J Neurosci 2013; 38:2065-77. [DOI: 10.1111/ejn.12206] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2013] [Revised: 02/26/2013] [Accepted: 02/28/2013] [Indexed: 12/01/2022]
Affiliation(s)
- Lyes Bachatene
- Department of Biological Sciences; University of Montreal; Montreal; QC; Canada
| | - Vishal Bharmauria
- Department of Biological Sciences; University of Montreal; Montreal; QC; Canada
| | - Sarah Cattan
- Department of Biological Sciences; University of Montreal; Montreal; QC; Canada
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