Institut de Neurosciences Cognitives et Intégratives d'Aquitaine (UMR5287)

Aquitaine Institute for Cognitive and Integrative Neuroscience



INCIA - UMR 5287- CNRS
Université de Bordeaux

Zone nord Bat 2 2ème étage
146, rue Léo Saignat
33076 Bordeaux cedex
France

Téléphone 05.57.57.15.51
Télécopie 05.56.90.14.21

Supervisory authorities

CNRS Ecole Pratique des Hautes Etudes Université de Bordeaux

Our partners

Neurocampus Unitéde Formation de Biologie

GDR

GDR Robotique GDR Mémoire GDR Multi-électrodes

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Dellu-Hagedorn Françoise

by Catherine Le Moine - published on , updated on

  • CR1 CNRS, HDR

Contact:
[francoise.dellu@u-bordeaux.fr]
+33 (0)5 57 57 15 63

Site : Carreire

Team:
Addicteam

Domain:
Cognitive and behavioral neuroscience

Theme:
Modeling of executive functions and behavioral traits related to mental disorders in rodents

Research axis:

  • Animal models of mental disorders
  • Cognition and behavior
  • Motivation and emotion
  • Decision-making and executive functions
  • Behavioural pharmacology
  • Neurobiology
  • Neurological and psychiatric conditions

Scientific expertise:

  • Dimensional approach in rodents, based on the idea of a continuum between normality and pathology, for the modeling of mental disorders
  • Inter-individual differences in rodent’s cognition and behavior
  • Rodent’s behavior : cognitive and conative processes, executive functions
  • Behavioral traits and related neurobiological inter-individual differences in neural network activation during behavior
  • Identification of neural signatures of behavioral traits through monoamine basal levels and metabolisms
  • Validation of cognitive tasks analogous to human tasks (impulsivity, decision-making)
  • Modeling in rodents of ADHD, impulsivity, inflexible behavior, poor decision-making, poor working memory

Projects:

  • Functional and dynamical organization of the networks involved in good vs poor decision-making by functional imaging (c-fos, zif) (coll. C. Le Moine, addicteam) and neurochemical correlates of these differences (monoaminergic systems) (coll. P. de Dewaerdere, IMN, Univ Bordeaux)
  • Computational modeling of inter-individual differences in decision-making and related behavioral and cognitive traits (coll. P. Seriès et V. Valton, Univ. Edinburgh ; A. Marchand, INCIA)
  • Characterisation of behavioral traits associated with poor decision-making and identification of risk-factors for developing addiction to drug (cocaïne, nicotine), coll. with M. Cador and S. Caillé Garnier (addicteam).
  • Behavioral and neurobiological characterization of the protracted abstinence state in rat with drug exposure either in adolescence or in adulthood

Selected Publications:

  • Fitoussi A, Le Moine C, De Deurwaerdere P, Laqui M, Rivalan M, Cador M and Dellu-Hagedorn (2015) Prefronto-subcortical imbalance characterizes poor decision-making: neurochemical and neural functional evidences in rats. Brain Struct Funct, 222: 3485-3496.
  • Rivalan M, Valton V., Seriès P., Marchand A. and Dellu-Hagedorn F. (2013) Elucidating poor decision making in a rat gambling task.Plos One, 8(12):e82052.
  • Fitoussi A, De Deurwaerdere P. and Dellu-Hagedorn F. (2013) Monoamines tissue measurement reveals specific and restricted correlations of their content in some brain regions involved in cognition. Neuroscience, 255: 233-245.
  • Van Den Bos R, Davies W, Dellu-Hagedorn F, Goudriaan A, Granon S, Homberg J, Rivalan M, Swendsen J and Adriani W. (2013) Cross-species approaches to pathological gambling: a review targeting sex differences, adolescence and ecological validity of research tools. Neuroscience and Biobehavioral reviews 37: 2454–2471.
  • Pittaras E, Cressant A, Serreau P, Bruijel J, Dellu-Hagedorn F, Callebert J, Rabat A. and Granon S. (2013) Mice Gamble for Food: Individual Differences in Risky Choices and Prefrontal Cortex Serotonin. J Addict Res Ther S4: 011.
  • Rivalan M, Grégoire S, Le Moine C and Dellu-Hagedorn F. (2012) The synergy of working memory and inhibitory control: behavioral, pharmacological and neural functional evidences. Neurobiol. Learn. Mem. 97: 202-212.
  • de Visser L., Homberg J.R., Mitsogiannis M., Zeeb F.D., Rivalan M., Fitoussi A., Galhardo V., van den Bos R., Winstanley C.A. and Dellu-Hagedorn F. (2011) Rodent versions of the Iowa Gambling Task: opportunities and challenges for the understanding of decision-making, Front. Neurosci. 5:109.
  • Rivalan M, Coutureau E, Fitoussi A, Dellu-Hagedorn F (2011) Inter-individual decision-making differences in the effects of cingulate, orbitofrontal, and prelimbic cortex lesions in a rat gambling task. Front Behav Neurosci 5:22.
  • Rivalan M, Ahmed SH, Dellu-Hagedorn F. (2009) Risk-prone individuals prefer the worse options on a rat version of the Iowa Gambling Task. Biol. Psychiat., 66: 743-749.
  • Rivalan M, Blondeau C, Dellu-Hagedorn F (2009) Modeling symptoms of mental disorders using a dimensional approach in the rat. In: Endophenotypes of psychiatric and neurodegenerative disorders in rodent models (Granon S, ed). Kerala, India: Transworld Research Network.
  • Vancassel S, Blondeau C, Lallemand S., Cador M, Linard A., Lavialle M and Dellu-Hagedorn F. (2007) Hyperactivity in the rat is associated with spontaneous low level of n-3 polyunsaturated fatty acids in the frontal cortex. Behav. Brain Res. 180 : 119-126.
  • Rivalan M, Gregoire S, Dellu-Hagedorn F (2007) Reduction of impulsivity with amphetamine in an appetitive fixed consecutive number schedule with cue for optimal performance in rats. Psychopharmacology (Berl) 192:171-182.
  • Blondeau C. and Dellu-Hagedorn F. (2007) Dimensional analysis of ADHD subtypes in rats. Biol. Psychiat., 61: 1340-50.
  • Dellu-Hagedorn F (2006) Relationship between impulsivity, hyperactivity and working memory: a differential analysis in the rat. Behav Brain Funct 2:10.
  • Dellu-Hagedorn F (2005) Spontaneous individual differences in cognitive performances of young adult rats predict locomotor response to amphetamine. Neurobiol Learn Mem 83:43-47.
  • Dellu-Hagedorn F, Trunet S, Simon H (2004) Impulsivity in youth predicts early age-related cognitive deficits in rats. Neurobiol Aging 25:525-537.