1
|
Bousseyrol E, Didienne S, Takillah S, Prevost-Solié C, Come M, Ahmed Yahia T, Mondoloni S, Vicq E, Tricoire L, Mourot A, Naudé J, Faure P. Dopaminergic and prefrontal dynamics co-determine mouse decisions in a spatial gambling task. Cell Rep 2023; 42:112523. [PMID: 37200189 DOI: 10.1016/j.celrep.2023.112523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/28/2023] [Accepted: 05/02/2023] [Indexed: 05/20/2023] Open
Abstract
The neural mechanisms by which animals initiate goal-directed actions, choose between options, or explore opportunities remain unknown. Here, we develop a spatial gambling task in which mice, to obtain intracranial self-stimulation rewards, self-determine the initiation, direction, vigor, and pace of their actions based on their knowledge of the outcomes. Using electrophysiological recordings, pharmacology, and optogenetics, we identify a sequence of oscillations and firings in the ventral tegmental area (VTA), orbitofrontal cortex (OFC), and prefrontal cortex (PFC) that co-encodes and co-determines self-initiation and choices. This sequence appeared with learning as an uncued realignment of spontaneous dynamics. Interactions between the structures varied with the reward context, particularly the uncertainty associated with the different options. We suggest that self-generated choices arise from a distributed circuit based on an OFC-VTA core determining whether to wait for or initiate actions, while the PFC is specifically engaged by reward uncertainty in action selection and pace.
Collapse
Affiliation(s)
- Elise Bousseyrol
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Steve Didienne
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Samir Takillah
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Clement Prevost-Solié
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Maxime Come
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Tarek Ahmed Yahia
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France
| | - Sarah Mondoloni
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France
| | - Eléonore Vicq
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France
| | - Ludovic Tricoire
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France
| | - Alexandre Mourot
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Jérémie Naudé
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; CNRS, Université de Montpellier, INSERM - Institut de Génomique Fonctionnelle, 34094 Montpellier, France.
| | - Philippe Faure
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France; Brain Plasticity Laboratory, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France.
| |
Collapse
|
2
|
Nguyen C, Mondoloni S, Le Borgne T, Centeno I, Come M, Jehl J, Solié C, Reynolds LM, Durand-de Cuttoli R, Tolu S, Valverde S, Didienne S, Hannesse B, Fiancette JF, Pons S, Maskos U, Deroche-Gamonet V, Dalkara D, Hardelin JP, Mourot A, Marti F, Faure P. Nicotine inhibits the VTA-to-amygdala dopamine pathway to promote anxiety. Neuron 2021; 109:2604-2615.e9. [PMID: 34242565 DOI: 10.1016/j.neuron.2021.06.013] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 03/27/2021] [Accepted: 06/09/2021] [Indexed: 11/28/2022]
Abstract
Nicotine stimulates dopamine (DA) neurons of the ventral tegmental area (VTA) to establish and maintain reinforcement. Nicotine also induces anxiety through an as yet unknown circuitry. We found that nicotine injection drives opposite functional responses of two distinct populations of VTA DA neurons with anatomically segregated projections: it activates neurons that project to the nucleus accumbens (NAc), whereas it inhibits neurons that project to the amygdala nuclei (Amg). We further show that nicotine mediates anxiety-like behavior by acting on β2-subunit-containing nicotinic acetylcholine receptors of the VTA. Finally, using optogenetics, we bidirectionally manipulate the VTA-NAc and VTA-Amg pathways to dissociate their contributions to anxiety-like behavior. We show that inhibition of VTA-Amg DA neurons mediates anxiety-like behavior, while their activation prevents the anxiogenic effects of nicotine. These distinct subpopulations of VTA DA neurons with opposite responses to nicotine may differentially drive the anxiogenic and the reinforcing effects of nicotine.
Collapse
Affiliation(s)
- Claire Nguyen
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Sarah Mondoloni
- Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Tinaïg Le Borgne
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Ines Centeno
- Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Maxime Come
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Joachim Jehl
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Clément Solié
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Lauren M Reynolds
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | | | - Stefania Tolu
- Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Sébastien Valverde
- Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Steve Didienne
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Bernadette Hannesse
- Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Jean-François Fiancette
- Neurocentre Magendie, Inserm U1215, Université de Bordeaux, 146 rue Léo Saignat, 33077 Bordeaux, France
| | - Stéphanie Pons
- Institut Pasteur, Unité Neurobiologie intégrative des systèmes cholinergiques, Département de neuroscience, 75724 Paris Cedex, France
| | - Uwe Maskos
- Institut Pasteur, Unité Neurobiologie intégrative des systèmes cholinergiques, Département de neuroscience, 75724 Paris Cedex, France
| | - Véronique Deroche-Gamonet
- Neurocentre Magendie, Inserm U1215, Université de Bordeaux, 146 rue Léo Saignat, 33077 Bordeaux, France
| | - Deniz Dalkara
- Sorbonne Université, Inserm, CNRS, Institut de la Vision, Paris, France
| | - Jean-Pierre Hardelin
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Alexandre Mourot
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France
| | - Fabio Marti
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France.
| | - Philippe Faure
- ESPCI, Laboratoire de plasticité du cerveau UMR8249, 10 rue Vauquelin, 75005 Paris, France; Sorbonne Université, Inserm, UMR8246 CNRS, Neuroscience Paris Seine - IBPS, 75005 Paris, France.
| |
Collapse
|
3
|
Belkaid M, Bousseyrol E, Durand-de Cuttoli R, Dongelmans M, Duranté EK, Yahia TA, Didienne S, Hanesse B, Come M, Mourot A, Naudé J, Sigaud O, Faure P. Author Correction: Mice adaptively generate choice variability in a deterministic task. Commun Biol 2020; 3:54. [PMID: 32005936 PMCID: PMC6994480 DOI: 10.1038/s42003-020-0785-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
4
|
Pham C, Moro DH, Mouffle C, Didienne S, Hepp R, Pfrieger FW, Mangin JM, Legendre P, Martin C, Luquet S, Cauli B, Li D. Mapping astrocyte activity domains by light sheet imaging and spatio-temporal correlation screening. Neuroimage 2020; 220:117069. [PMID: 32585347 DOI: 10.1016/j.neuroimage.2020.117069] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/12/2020] [Accepted: 06/15/2020] [Indexed: 02/08/2023] Open
Abstract
Astrocytes are a major type of glial cell in the mammalian brain, essentially regulating neuronal development and function. Quantitative imaging represents an important approach to study astrocytic signaling in neural circuits. Focusing on astrocytic Ca2+ activity, a key pathway implicated in astrocye-neuron interaction, we here report a strategy combining fast light sheet fluorescence microscopy (LSFM) and correlative screening-based time series analysis, to map activity domains in astrocytes in living mammalian nerve tissue. Light sheet of micron-scale thickness enables wide-field optical sectioning to image astrocytes in acute mouse brain slices. Using both chemical and genetically encoded Ca2+ indicators, we demonstrate the complementary advantages of LSFM in mapping Ca2+ domains in astrocyte populations as compared to epifluorescence and two-photon microscopy. Our approach then revealed distinct kinetics of Ca2+ signals between cortical and hypothalamic astrocytes in resting conditions and following the activation of adrenergic G protein coupled receptor (GPCR). This observation highlights the activity heterogeneity across regionally distinct astrocyte populations, and indicates the potential of our method for investigating dynamic signals in astrocytes.
Collapse
Affiliation(s)
- Cuong Pham
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Daniela Herrera Moro
- Unité de Biologie Fonctionnelle et Adaptative, Centre National la Recherche Scientifique, Unité Mixte de Recherche 8251, Université Paris Diderot, Sorbonne Paris Cité, 75205, Paris, France
| | - Christine Mouffle
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Steve Didienne
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Régine Hepp
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Frank W Pfrieger
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Jean-Marie Mangin
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Pascal Legendre
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Claire Martin
- Unité de Biologie Fonctionnelle et Adaptative, Centre National la Recherche Scientifique, Unité Mixte de Recherche 8251, Université Paris Diderot, Sorbonne Paris Cité, 75205, Paris, France
| | - Serge Luquet
- Unité de Biologie Fonctionnelle et Adaptative, Centre National la Recherche Scientifique, Unité Mixte de Recherche 8251, Université Paris Diderot, Sorbonne Paris Cité, 75205, Paris, France
| | - Bruno Cauli
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France
| | - Dongdong Li
- Sorbonne Université, Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, UPMC UMCR18, Paris, 75005, France.
| |
Collapse
|
5
|
Belkaid M, Bousseyrol E, Durand-de Cuttoli R, Dongelmans M, Duranté EK, Ahmed Yahia T, Didienne S, Hanesse B, Come M, Mourot A, Naudé J, Sigaud O, Faure P. Mice adaptively generate choice variability in a deterministic task. Commun Biol 2020; 3:34. [PMID: 31965053 PMCID: PMC6972896 DOI: 10.1038/s42003-020-0759-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 12/20/2019] [Indexed: 01/30/2023] Open
Abstract
Can decisions be made solely by chance? Can variability be intrinsic to the decision-maker or is it inherited from environmental conditions? To investigate these questions, we designed a deterministic setting in which mice are rewarded for non-repetitive choice sequences, and modeled the experiment using reinforcement learning. We found that mice progressively increased their choice variability. Although an optimal strategy based on sequences learning was theoretically possible and would be more rewarding, animals used a pseudo-random selection which ensures high success rate. This was not the case if the animal is exposed to a uniform probabilistic reward delivery. We also show that mice were blind to changes in the temporal structure of reward delivery once they learned to choose at random. Overall, our results demonstrate that a decision-making process can self-generate variability and randomness, even when the rules governing reward delivery are neither stochastic nor volatile.
Collapse
Affiliation(s)
- Marwen Belkaid
- Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique (ISIR), 75005, Paris, France
| | - Elise Bousseyrol
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Romain Durand-de Cuttoli
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Malou Dongelmans
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Etienne K Duranté
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Tarek Ahmed Yahia
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Steve Didienne
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Bernadette Hanesse
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Maxime Come
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Alexandre Mourot
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Jérémie Naudé
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - Olivier Sigaud
- Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique (ISIR), 75005, Paris, France
| | - Philippe Faure
- Sorbonne Université, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France.
| |
Collapse
|
6
|
Nilsson SRO, Heath CJ, Takillah S, Didienne S, Fejgin K, Nielsen V, Nielsen J, Saksida LM, Mariani J, Faure P, Didriksen M, Robbins TW, Bussey TJ, Mar AC. Continuous performance test impairment in a 22q11.2 microdeletion mouse model: improvement by amphetamine. Transl Psychiatry 2018; 8:247. [PMID: 30429456 PMCID: PMC6235862 DOI: 10.1038/s41398-018-0295-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 08/21/2018] [Accepted: 10/05/2018] [Indexed: 02/03/2023] Open
Abstract
The 22q11.2 deletion syndrome (22q11.2DS) confers high risk of neurodevelopmental disorders such as schizophrenia and attention-deficit hyperactivity disorder. These disorders are associated with attentional impairment, the remediation of which is important for successful therapeutic intervention. We assessed a 22q11.2DS mouse model (Df(h22q11)/+) on a touchscreen rodent continuous performance test (rCPT) of attention and executive function that is analogous to human CPT procedures. Relative to wild-type littermates, Df(h22q11)/+ male mice showed impaired attentional performance as shown by decreased correct response ratio (hit rate) and a reduced ability to discriminate target stimuli from non-target stimuli (discrimination sensitivity, or d'). The Df(h22q11)/+ model exhibited decreased prefrontal cortical-hippocampal oscillatory synchrony within multiple frequency ranges during quiet wakefulness, which may represent a biomarker of cognitive dysfunction. The stimulant amphetamine (0-1.0 mg/kg, i.p.) dose-dependently improved d' in Df(h22q11)/+ mice whereas the highest dose of modafinil (40 mg/kg, i.p.) exacerbated their d' impairment. This is the first report to directly implicate attentional impairment in a 22q11.2DS mouse model, mirroring a key endophenotype of the human disorder. The capacity of the rCPT to detect performance impairments in the 22q11.2DS mouse model, and improvement following psychostimulant-treatment, highlights the utility and translational potential of the Df(h22q11)/+ model and this automated behavioral procedure.
Collapse
Affiliation(s)
- Simon R. O. Nilsson
- 0000000121885934grid.5335.0Department of Psychology, University of Cambridge, Cambridge, UK ,0000000121885934grid.5335.0MRC and Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK ,0000 0001 2109 4251grid.240324.3Neuroscience Institute, New York University Medical Center, New York, NY USA ,0000 0004 1936 8753grid.137628.9Department of Neuroscience and Physiology, School of Medicine, New York University, New York, NY USA
| | - Christopher J. Heath
- 0000000096069301grid.10837.3dSchool of Life, Health and Chemical Sciences, The Open University, Walton Hall, Milton Keynes, UK
| | - Samir Takillah
- Fatigue and Vigilance team, Neuroscience and Operational Constraints Department, French Armed Forces Biomedical Research Institute (IRBA), Brétigny-sur-Orge, France ,0000 0001 2188 0914grid.10992.33VIFASOM team (EA 7330), Paris Descartes University, Sorbonne Paris Cité, Hôtel Dieu, Paris, France ,0000 0001 2097 0141grid.121334.6Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Team Neurophysiology and Behavior, Paris, France ,Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, Institut de Biologie Paris Seine (IBPS), UMR 8256 Biological adaptation and ageing (B2A), Team Brain Development, Repair and Ageing, Paris, France ,APHP Hôpital, DHU Fast, Institut de la Longévité, Ivry-Sur-Seine, France
| | - Steve Didienne
- 0000 0001 2097 0141grid.121334.6Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Team Neurophysiology and Behavior, Paris, France
| | - Kim Fejgin
- 0000 0004 0476 7612grid.424580.fH. Lundbeck A/S, Synaptic Transmission, Neuroscience Research DK, Copenhagen, Denmark
| | - Vibeke Nielsen
- 0000 0004 0476 7612grid.424580.fH. Lundbeck A/S, Synaptic Transmission, Neuroscience Research DK, Copenhagen, Denmark
| | - Jacob Nielsen
- 0000 0004 0476 7612grid.424580.fH. Lundbeck A/S, Synaptic Transmission, Neuroscience Research DK, Copenhagen, Denmark
| | - Lisa M. Saksida
- 0000000121885934grid.5335.0Department of Psychology, University of Cambridge, Cambridge, UK ,0000000121885934grid.5335.0MRC and Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK ,0000 0004 1936 8884grid.39381.30Molecular Medicine Research Group, Robarts Research Institute & Department of Physiology, Western University, London, ON Canada ,0000 0004 1936 8884grid.39381.30Pharmacology, Schulich School of Medicine & Dentistry, Western University, London, ON Canada ,0000 0004 1936 8884grid.39381.30The Brain and Mind Institute, Western University, London, ON Canada
| | - Jean Mariani
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, Institut de Biologie Paris Seine (IBPS), UMR 8256 Biological adaptation and ageing (B2A), Team Brain Development, Repair and Ageing, Paris, France ,APHP Hôpital, DHU Fast, Institut de la Longévité, Ivry-Sur-Seine, France
| | - Philippe Faure
- 0000 0001 2188 0914grid.10992.33VIFASOM team (EA 7330), Paris Descartes University, Sorbonne Paris Cité, Hôtel Dieu, Paris, France
| | - Michael Didriksen
- 0000 0004 0476 7612grid.424580.fH. Lundbeck A/S, Synaptic Transmission, Neuroscience Research DK, Copenhagen, Denmark
| | - Trevor W. Robbins
- 0000000121885934grid.5335.0Department of Psychology, University of Cambridge, Cambridge, UK ,0000000121885934grid.5335.0MRC and Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Timothy J. Bussey
- 0000000121885934grid.5335.0Department of Psychology, University of Cambridge, Cambridge, UK ,0000000121885934grid.5335.0MRC and Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK ,0000 0004 1936 8884grid.39381.30Molecular Medicine Research Group, Robarts Research Institute & Department of Physiology, Western University, London, ON Canada ,0000 0004 1936 8884grid.39381.30Pharmacology, Schulich School of Medicine & Dentistry, Western University, London, ON Canada ,0000 0004 1936 8884grid.39381.30The Brain and Mind Institute, Western University, London, ON Canada
| | - Adam C. Mar
- 0000 0001 2109 4251grid.240324.3Neuroscience Institute, New York University Medical Center, New York, NY USA ,0000 0004 1936 8753grid.137628.9Department of Neuroscience and Physiology, School of Medicine, New York University, New York, NY USA
| |
Collapse
|
7
|
Torquet N, Marti F, Campart C, Tolu S, Nguyen C, Oberto V, Benallaoua M, Naudé J, Didienne S, Debray N, Jezequel S, Le Gouestre L, Hannesse B, Mariani J, Mourot A, Faure P. Social interactions impact on the dopaminergic system and drive individuality. Nat Commun 2018; 9:3081. [PMID: 30082725 PMCID: PMC6079008 DOI: 10.1038/s41467-018-05526-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 07/09/2018] [Indexed: 11/09/2022] Open
Abstract
Individuality is a striking feature of animal behavior. Individual animals differ in traits and preferences which shape their interactions and their prospects for survival. However, the mechanisms underlying behavioral individuation are poorly understood and are generally considered to be genetic-based. Here, we devised a large environment, Souris City, in which mice live continuously in large groups. We observed the emergence of individual differences in social behavior, activity levels, and cognitive traits, even though the animals had low genetic diversity (inbred C57BL/6J strain). We further show that the phenotypic divergence in individual behaviors was mirrored by developing differences in midbrain dopamine neuron firing properties. Strikingly, modifying the social environment resulted in a fast re-adaptation of both the animal's traits and its dopamine firing pattern. Individuality can rapidly change upon social challenges, and does not just depend on the genetic status or the accumulation of small differences throughout development.
Collapse
Affiliation(s)
- N Torquet
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - F Marti
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - C Campart
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - S Tolu
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - C Nguyen
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - V Oberto
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - M Benallaoua
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - J Naudé
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - S Didienne
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - N Debray
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Biological Adaptation and Ageing - Institut de Biologie Paris Seine (B2A - IBPS), 75005, Paris, France.,APHP Hôpital Charles Foix, DHU FAST, Institut de la Longévité, Ivry-Sur-Seine, France
| | - S Jezequel
- APHP Hôpital Charles Foix, DHU FAST, Institut de la Longévité, Ivry-Sur-Seine, France.,Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS UMS, 28 Phénotypage du Petit Animal, 75005, Paris, France
| | - L Le Gouestre
- APHP Hôpital Charles Foix, DHU FAST, Institut de la Longévité, Ivry-Sur-Seine, France.,Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS UMS, 28 Phénotypage du Petit Animal, 75005, Paris, France
| | - B Hannesse
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - J Mariani
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Biological Adaptation and Ageing - Institut de Biologie Paris Seine (B2A - IBPS), 75005, Paris, France.,APHP Hôpital Charles Foix, DHU FAST, Institut de la Longévité, Ivry-Sur-Seine, France
| | - A Mourot
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France
| | - P Faure
- Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005, Paris, France.
| |
Collapse
|
8
|
Takillah S, Naudé J, Didienne S, Sebban C, Decros B, Schenker E, Spedding M, Mourot A, Mariani J, Faure P. Acute Stress Affects the Expression of Hippocampal Mu Oscillations in an Age-Dependent Manner. Front Aging Neurosci 2017; 9:295. [PMID: 29033825 PMCID: PMC5627040 DOI: 10.3389/fnagi.2017.00295] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Accepted: 08/29/2017] [Indexed: 12/22/2022] Open
Abstract
Anxiolytic drugs are widely used in the elderly, a population particularly sensitive to stress. Stress, aging and anxiolytics all affect low-frequency oscillations in the hippocampus and prefrontal cortex (PFC) independently, but the interactions between these factors remain unclear. Here, we compared the effects of stress (elevated platform, EP) and anxiolytics (diazepam, DZP) on extracellular field potentials (EFP) in the PFC, parietal cortex and hippocampus (dorsal and ventral parts) of adult (8 months) and aged (18 months) Wistar rats. A potential source of confusion in the experimental studies in rodents comes from locomotion-related theta (6-12 Hz) oscillations, which may overshadow the direct effects of anxiety on low-frequency and especially on the high-amplitude oscillations in the Mu range (7-12 Hz), related to arousal. Animals were restrained to avoid any confound and isolate the direct effects of stress from theta oscillations related to stress-induced locomotion. We identified transient, high-amplitude oscillations in the 7-12 Hz range ("Mu-bursts") in the PFC, parietal cortex and only in the dorsal part of hippocampus. At rest, aged rats displayed more Mu-bursts than adults. Stress acted differently on Mu-bursts depending on age: it increases vs. decreases burst, in adult and aged animals, respectively. In contrast DZP (1 mg/kg) acted the same way in stressed adult and age animal: it decreased the occurrence of Mu-bursts, as well as their co-occurrence. This is consistent with DZP acting as a positive allosteric modulator of GABAA receptors, which globally potentiates inhibition and has anxiolytic effects. Overall, the effect of benzodiazepines on stressed animals was to restore Mu burst activity in adults but to strongly diminish them in aged rats. This work suggests Mu-bursts as a neural marker to study the impact of stress and DZP on age.
Collapse
Affiliation(s)
- Samir Takillah
- Team Neurophysiology and Behavior, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130Paris, France.,Team Brain Development, Repair and Ageing, Institut de Biologie Paris Seine (IBPS), UMR 8256 Biological Adaptation and Ageing (B2A), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRSParis, France.,APHP Hôpital Charles Foix, DHU Fast, Institut de la LongévitéIvry-sur-Seine, France.,Département Neurosciences et Contraintes Opérationnelles, Institut de Recherche Biomédicale des Armées (IRBA), Unité Fatigue et VigilanceBrétigny-sur-Orge, France.,EA7330 VIFASOM, Université Paris DescartesParis, France
| | - Jérémie Naudé
- Team Neurophysiology and Behavior, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130Paris, France
| | - Steve Didienne
- Team Neurophysiology and Behavior, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130Paris, France
| | - Claude Sebban
- Team Brain Development, Repair and Ageing, Institut de Biologie Paris Seine (IBPS), UMR 8256 Biological Adaptation and Ageing (B2A), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRSParis, France.,APHP Hôpital Charles Foix, DHU Fast, Institut de la LongévitéIvry-sur-Seine, France
| | - Brigitte Decros
- Team Brain Development, Repair and Ageing, Institut de Biologie Paris Seine (IBPS), UMR 8256 Biological Adaptation and Ageing (B2A), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRSParis, France.,APHP Hôpital Charles Foix, DHU Fast, Institut de la LongévitéIvry-sur-Seine, France
| | - Esther Schenker
- Neuroscience Drug Discovery Unit, Institut de Recherches ServierCroissy-sur-Seine, France
| | | | - Alexandre Mourot
- Team Neurophysiology and Behavior, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130Paris, France
| | - Jean Mariani
- Team Brain Development, Repair and Ageing, Institut de Biologie Paris Seine (IBPS), UMR 8256 Biological Adaptation and Ageing (B2A), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRSParis, France.,APHP Hôpital Charles Foix, DHU Fast, Institut de la LongévitéIvry-sur-Seine, France
| | - Philippe Faure
- Team Neurophysiology and Behavior, Institut de Biologie Paris Seine (IBPS), UMR 8246 Neuroscience Paris Seine (NPS), Sorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, INSERM, U1130Paris, France
| |
Collapse
|