Completed a six-month fellowship (January–July 2026) at USC, Keck School of Medicine of USC, hosted by Prof. Paul M. Thompson (Head of ENIGMA consortium) to advance large-scale neuroimaging in mood disorders.
Watch my talks and presentations (in French and English) on bipolar disorder research, neuroimaging, and neurofeedback.
Latest — PSYTRO-7: psychotrauma at 7 Tesla, project presentation for the Fondation Planiol (in French).
View all videos on YouTube →My research investigates the cognitive and brain mechanisms underlying mood and emotion dysregulation, with a focus on bipolar disorder and psychotrauma. I combine behavioural approaches, large-scale multimodal neuroimaging, and precision MRI at 3T and 7T to identify biomarkers and understand individual differences. My work also examines how psychotherapies, mental training, and real-time fMRI neurofeedback can modulate brain function and support therapeutic interventions.
I am currently co-head of the INPULSE lab — Imaging Neuroscience and Neuromodulation in Psychiatry (INSERM/CEA NeuroSpin) focusing on translational psychiatry and brain imaging, and member of the board of FIND (AFPBN) — the neuroimaging section of the French Association for Biological Psychiatry & Neuropsychopharmacology. I am also member of the ENIGMA-Bipolar Disorder Working Group.
Bipolar Disorder • Emotion Regulation • Mood Disorders • Multimodal Neuroimaging • Neuromodulation • Precision Neuroimaging (3T/7T) • Psychotrauma • Real-Time fMRI Neurofeedback • Translational Neuropsychiatry
PhD defence · 23 November 2026
Neuro-genetics correlates of mood disorders studied with large populations
PhD defence · 9 December 2026
Study of the neural circuits involved in the negative emotional biases in patients with depression and their evolution under Esketamine
Brossollet, I., Gallet, Q., Favre, P. & Houenou, J. (2023). Machine Learning and Brain Imaging for Psychiatric Disorders: New Perspectives. In Coulon, O. (Ed.) Machine Learning for Brain Disorders. NY: Springer US; p. 1009–1036. OPEN ACCESS →
Mermillod, M., Favre, P. & Vermulen, N. (2021). Neurosciences Affectives. In Luminet, O. (Ed.) Psychologie des Emotions. Be: De Boeck.
Vrticka, P., Favre, P. & Singer, T. (2017). Compassion and the brain. In Gilbert, P. (Ed.) Compassion: Concepts, Research and Applications. London, UK: Routledge.
Polosan, M. & Favre, P. (2015) Imagerie des Troubles Bipolaires. In Fossati, P. (Ed.). Imagerie Cérébrale en Psychiatrie. Contributions Physiopathologiques de la Neuro-Imagerie. Paris: Lavoisier/Médecine Sciences.
Download my PhD thesis → (Université Grenoble Alpes, 2014)
Now recruiting: Neurofeedback (NeuroFeed-BD), ultra-high field MRI (B37T) in Bipolar Disorder, PSYTRO-7, and FrenchMinds.
Recruiting
Psychotrauma at 7 Tesla: Understanding the neural mechanisms of emotional dysregulation in psychotrauma
Fondation Planiol Project Page →
PI: Pauline Favre
Collaborators: Lisa Pontoni (PhD student), Geraldine Tapia (PhD co-supervisor, Univ. Bordeaux), Charles Laidi (APHP, Créteil), Noomane Bouaziz (EPS de Ville-Évrard), Marc-Antoine d'Albis (GHU, Sainte-Anne)
This project investigates the cerebral and cognitive mechanisms underlying psychotrauma using ultra-high field 7T MRI. We focus on the bidirectional relationship between autobiographical memory and emotion regulation, aiming to identify circuit-based targets for innovative therapeutic interventions such as transcranial magnetic stimulation (TMS) and neurofeedback. By combining advanced 7T neuroimaging with cognitive tasks and clinical questionnaires, this research seeks to uncover how autobiographical memories interact with emotional regulation systems in the brain, with the ultimate goal of developing precision psychiatry approaches for trauma-related disorders.
Recruiting
The Bipolar Bayesian Brain at 7T: Mood disturbances in bipolar disorder studied with ultra-high field MRI
PI: Pauline Favre
Collaborators: Alexane Leclerc (PhD student), Lucie Berkovitch (PhD co-supervisor), Charles Laidi (APHP, Créteil), Romain Sayous (APHP, Créteil), Sylvie Berthoz (INCIA, Univ. Bordeaux), Louise Kauffmann (LPNC, Univ. Grenoble)
Bipolar disorder (BD) is a chronic mood disorder characterized by emotional hyperresponsiveness during acute periods (i.e., mania and depression), as well as during periods of remission (i.e., euthymia). Current neurocognitive models suggest that lack of cognitive control may be responsible for these symptoms, but do not explain the recurrence of mood cycles in BD. The objective of this project is to clarify the cognitive mechanisms responsible for extreme mood variations in BD and to identify the underlying cerebral correlate. We hypothesize that patients with BD will exhibit an early perceptual bias when processing emotions, that will also be congruent with their mood. On the one hand, regardless of their mood, patients would tend to "over-predict" emotions, leading to "top-down" prediction errors and abnormal connectivity between the amygdala, the orbito-frontal cortex, and the visual system. On the other hand, the valence of this expectation bias would depend on their mood state and would be underpinned by an imbalance of connectivity between the amygdala, the hippocampus, and the nucleus accumbens. We will use ultra-high field MRI (7 Tesla) which, thanks to a very high spatial resolution and a very high signal-to-noise ratio, will allow us to precisely measure the connectivity of these regions. We will employ a dimensional approach, including 60 patients in different mood states: euthymic, depressed, or hypomanic, as well as 30 healthy controls. We will use ecological momentary assessment (EMA) to characterize as precisely as possible the mood of the patients at the time of the MRI scan. From the theoretical perspective, this project will contribute to the modeling of the neurocognitive processes involved in the regulation of mood. From a clinical and societal perspective, it will help to improve the diagnosis of mood disorders and will open new perspectives for the treatment of patients with BD.
Related publications:
Krystal, S., Gracia, L., Piguet, C., Henry, C., Alonso, M., Polosan, M., Savatovsky, J., Houenou, J. & Favre, P. (2024). Functional connectivity of the amygdala subnuclei in various mood states of bipolar disorder. Molecular Psychiatry, 29, 3344-3355. DOI →
Leclerc, A., Lacroix, A., Mermillod, M., Kauffmann, L. & Favre, P. (2026). Challenging the Predictive Coarse-to-Fine Hypothesis in Emotional Face Perception. Visual Cognition, 34(1), 67-83. DOI →
Leclerc, A., Nalborczyk, L., Kauffmann, L., Houenou, J., Berkovitch, L., & Favre, P. (in press). Predictive Biases in Emotional Perception: Differential Influence of Mood and Affective Primes in Individuals with and without Mood Disorders. Neuroscience of Consciousness. Preprint →
Recruiting
Real-time fMRI neurofeedback as treatment for inter-critical mood symptoms in bipolar disorder: a randomized controlled trial
Scientific director: Pauline Favre
Collaborators: Pamela Pindi (PhD student, 2020–2024), Charles Laidi (main PI, Créteil), Josselin Houenou (main PI, Créteil), Mircea Polosan (co-PI, Grenoble), Sebastien Gard (co-PI, Bordeaux)

This multicenter national study aims at assessing the efficacy of 3-week neurofeedback training with real-time fMRI on the treatment of residual mood symptoms in patients with BD. I am leading this study with Pr. J. Houenou.
Watch presentation (in French) → UNAFAM Research Award 2018 (in French) →
Related publications:
Pindi, P., Houenou, J., Piguet, C. & Favre, P. (2022). Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 119, 110605. DOI →
Recruiting
Large-scale multimodal neuroimaging cohort for precision psychiatry
PI: Prof. Marion Leboyer — MRI part: Charles Laidi
The French MINDS cohort is a flagship initiative of the PEPR PROPSY (Programme de Recherche Exploratoire en Psychiatrie) program, part of France 2030. This large-scale, multicentre cohort aims to collect high-quality, harmonized multimodal data (including multi-omics) in 10,000 subjects (patients and controls) with bipolar disorder, schizophrenia, major depression, and autism spectrum disorders to advance precision psychiatry and validate biomarkers for psychiatric disorders. I am a member of the neuroimaging group contributing to the design and implementation of advanced imaging protocols for this national cohort study.
Related publications:
Laidi, C., Bouaziz, N., Haffen, E., Domenech, P., Duchesnay, E., Favre, P., Fakra, É., Houenou, J., Iftimovici, A., Lefrere, A., Polosan, M., Sescousse, G., Sauvaget, A., & Jardri, R. (2025). Brain imaging and the first success of precision psychiatry. Médecine/Sciences, 41(5), 500-507. DOI →
Large-scale international neuroimaging studies of mood and psychotic disorders
Project website → | Interview about the project →

Within the ENIGMA consortium, my work spans three lines of research.
Multimodal Neuroimaging and Machine Learning for Transdiagnostic Stratification of Mood and Psychotic Disorders
With the ENIGMA Bipolar Disorder, Major Depressive Disorder and Schizophrenia Working Groups.
PI: Pauline Favre
Collaborators: Kamal Achalhi (PhD student), Edouard Duchesnay (PhD co-supervisor)
Amygdala subnuclei functional connectivity in bipolar disorder: links to mood state and clinical dimensions
With the ENIGMA Bipolar Disorder Working Group.
PI: Pauline Favre
Related publications:
Krystal, S., Gracia, L., Piguet, C., Henry, C., Alonso, M., Polosan, M., Savatovsky, J., Houenou, J. & Favre, P. (2024). Functional connectivity of the amygdala subnuclei in various mood states of bipolar disorder. Molecular Psychiatry, 29, 3344-3355. DOI →
White matter microstructure, brain age, normative modelling, structural networks and medication effects
With the ENIGMA Bipolar Disorder Working Group.
In this multi-center international study, conducted under the umbrella of the ENIGMA consortium, I am working with DTI data from about 3000 subjects (half patients with bipolar disorder, half controls) from 26 cohorts, thus constituting the largest DTI database of bipolar patients known today. My goal is to identify reliably and reproducibly, with the use of machine learning algorithms, white matter microstructural abnormalities that could characterize these patients.
BD-DTI project PI: Prof. Josselin Houenou (Neurospin, CEA Paris-Saclay; APHP-Hopital Henri-Mondor, Créteil)
I also contribute to collaborative ENIGMA studies of brain age, normative modelling of individual brain deviations, structural brain networks, obesity-related white matter alterations, and the effects of psychotropic medications on brain structure.
Related publications:
Favre, P., Pauling, M., Stout, J., Hozer, F., Sarrazin, S., Abé, C., et al. (2019). Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals. Neuropsychopharmacology, 44, 2285–2293. DOI →
Claude, L.A., Houenou, J., Duchesnay, E. & Favre, P. (2020). Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions. Bipolar Disorders, 22(4), 334–355. DOI →
Neu, N., Favre, P., et al. Individualized Structural Brain Deviations in Bipolar I Disorder: a Normative Modeling Study of 4,660 ENIGMA Participants. (Submitted)
Favre, P., Louiset, R., Duchesnay, E., Houenou, J., & the ENIGMA Bipolar Disorder DTI Working Group. Classifying and Subgrouping patients with bipolar disorder based on DTI data: A Machine Learning Study from the ENIGMA Bipolar Disorder Working. (In preparation)
Translational study of neural circuits underlying negative emotional biases in depressive disorders and their response to ketamine
PI: Prof. Chantal Henry (GHU Paris Psychiatrie et Neurosciences)
Collaborators: Chloé Müh (PhD student, co-supervised with Prof. Chantal Henry)
Depressive episodes are among the leading factors in disability worldwide, affecting up to 300 million people annually. Beyond the sad mood, depressed patients exhibit a negative emotional bias (NEB), which involves assigning more negative valences to stimuli salient enough to trigger emotion. The effectiveness of antidepressants in restoring mood requires correction of this bias.
This translational project combines preclinical and clinical approaches to study these mechanisms. In mice with a depressive phenotype, the project investigates how altered activity of neuronal subpopulations in the basolateral amygdala (BLA) leads to NEBs, and how different classes of antidepressants—particularly ketamine and SSRIs—can reverse these biases and restore normal BLA circuit activity. In parallel, the clinical study evaluates emotional biases in depressed patients before and after ketamine treatment, examining changes in amygdala activation and connectivity using functional imaging.
I contribute as a partner to the neuroimaging component of this project and co-supervise the PhD thesis of Chloé Müh, who is investigating emotional bias changes before and after esketamine treatment using newly developed behavioural tasks and 3T fMRI.
Large-scale longitudinal study on meditation-based mental training
PI: Prof. Dr. Tania Singer (MPI, Leipzig, Germany)
The ReSource project is a large-scale longitudinal study on meditation-based mental training. The goal of this 11-month program is to cultivate compassion, gratitude, motivation pro-social, etc. but also to improve subjective well-being and health through different mental training modules (3 months each). The "Presence" module focuses on attention training and interoceptive awareness. The "Affect" module aims to strengthen compassion and gratitude towards others as well as to improve the management of difficult emotions through the training of socio-emotional skills. The objective of the module "Perspective" is to train the socio-cognitive skills, such as theory of mind and metacognitive capacities.
The purpose of my work in this project are i) to evaluate change in emotional reactivity and its associated cerebral network after the overall ReSource program as well as the differential effect the 3 modules; ii) to evaluate change in mindwandering content after these training with an experience sampling paradigm.
Related publications:
Favre, P., Kanske, P., Engen, H., & Singer, T. (2021). Decreased emotional reactivity after 3-month socio-affective but not attention- or meta-cognitive-based mental training: A randomized, controlled longitudinal fMRI study. NeuroImage, 237, 118132. DOI →
Favre, P. & Singer, T. How meditation shapes your thoughts? Exploration of the effects of three mental trainings on socio-temporo-emotional content of mindwandering. (In preparation)
Brain abnormalities underlying emotional and cognitive disorders in bipolar disorders
PI: Prof. Mircea Polosan (CHU/GIN, Grenoble, France)
The BiPed project is my PhD project. The objectives of this project were, first, to identify brain abnormalities underlying emotional and cognitive disorders in bipolar disorders, and second, to identify how psychoeducation, a specific and structured psychosocial intervention, can modulate these brain abnormalities.
Related publications:
Favre, P., Baciu, M., Pichat, C., De Pourtalès, M.A., Fredembach, B., Garçon, S., Bougerol, T. & Polosan, M. (2013). Modulation of fronto-limbic activity by psychoeducation in euthymic bipolar patients. A functional MRI study. Psychiatry Research: Neuroimaging, 214(3), 285–295. DOI →
Favre, P., Baciu, M., Pichat, C., Bougerol, T. & Polosan, M. (2014). fMRI evidence for abnormal resting-state functional connectivity in euthymic bipolar patients. Journal of Affective Disorders, 165, 182–189. DOI →
Favre, P., Polosan, M., Pichat, C., Bougerol, T. & Baciu, M. (2015). Cerebral Correlates of Abnormal Emotion Conflict Processing in Euthymic Bipolar Patients: A Functional MRI Study. PLOS ONE, 10(8), e0134961. DOI →
Favre, P., Houenou, J., Baciu, M., Pichat, C., Poupon, C., Bougerol, T. & Polosan, M. (2016). White Matter Plasticity Induced by Psychoeducation in Bipolar Patients: A Controlled Diffusion Tensor Imaging Study. Psychotherapy and Psychosomatics, 85, 58–60. DOI →
Transcranial magnetic stimulation in the treatment of obsessive-compulsive disorder
PI: Prof. Mircea Polosan (CHU/GIN, Grenoble, France)
This clinical study aims to evaluate the effectiveness of transcranial magnetic stimulation (TMS) in the treatment of obsessive-compulsive disorder (OCD). The originality of this study lies in the choice of the target region, which is determined individually by an fMRI task measuring motor impulsivity: the "Stop Signal Task" (SST).
Related publications:
Kibleur, A., Polosan, M., Favre, P., Rudrauf, D., Bougerol, T., Chabardès, S., David, O. (2017). Stimulation of subgenual cingulate area decreases limbic top-down effect on ventral visual stream: A DBS-EEG pilot study. NeuroImage, 146, 544–553. DOI →
Harquel, S., Raffin, E., Favre, P., Leroy, C., Passera, B., Beynel, L., Neige, C., Cousin, E., Pichat, C., Chion, C., Pouchon, A., David-Tchouda, S., David, O. & Polosan, M. Personalized neuromodulation targeting inhibitory control circuits in obsessive-compulsive disorder. (Submitted)
Effects of mindfulness meditation on emotional visual perception and eating behaviors
PI: Rebecca Shankland (LIP/UGA, Grenoble, France)
This project focuses on the effects of the mindfulness meditation FOVEA program on i) low-level emotional visual perception (by manipulating the spatial frequency of images) and ii) on eating behaviors, food impulsivity in particular.
Related publications:
Shankland, R., Favre, P., Corubolo, D., Méary, D., Flaudias, V. & Mermillod, M. (2019). Food-Cal: Development of a controlled database of high- and low-calorie food matched with non-food pictures. Eating and Weight Disorders – Studies on Anorexia, Bulimia and Obesity, 24(6), 1041–1050. DOI →
Shankland, R., Favre, P., Kotsou, I., & Mermillod, M. (2021). Mindfulness and de-automatization: Effect of mindfulness-based interventions on emotional facial expressions processing. Mindfulness, 12(1), 226–239. DOI →
Favre, P., Flaudias, V., Corubolo, D., Mermillod, M & Shankland, R. Be Mindful, Be Healthy: Impulse Towards Caloric Food Pictures Decreases After Mindfulness Training. (Under review)
2021 – present — Associate Researcher (tenured), Co-Head of the INPULSE Lab (Imaging Neuroscience and Neuromodulation in Psychiatry)
INSERM U955, Translational Neuropsychiatry Lab & CEA Univ. Paris-Saclay, NeuroSpin, Clinical Unit, France
2018 – 2021 — Post-doctoral Researcher
INSERM, Mondor Institute for Biomedical Research, Translational Neuropsychiatry Team, France
Topic: MRI, fMRI, Neurofeedback applied to psychiatric disorders
Supervisor: Josselin HOUENOU, MD, PhD
2017 – 2018 — Post-doctoral Researcher
CEA Paris-Saclay, NeuroSpin, Data Analysis Unit, France
Topic: Machine learning applied to neuroimaging data of psychiatric disorders
Supervisor: Edouard DUCHESNAY, PhD
2015 – 2017 — Post-doctoral Researcher
Max Planck Institute for Human Cognitive and Brain Sciences, Department of Social Neuroscience, Germany
Topic: Large-scale longitudinal study on meditation training and cerebral plasticity
Supervisor: Pr. Tania SINGER
2013 — Visiting Researcher (3 months during PhD)
University of Cambridge (UK), Dept. of Psychiatry, Behavioural and Cognitive Neuroscience Institute
Supervisor: Dr. Valerie VOON (MD, PhD)
2024 — "Habilitation" for Full Professorship
Paris East University, France
Title: Emotional dysregulation in mood disorders and clinical applications: behavioral and cerebral investigations
2014 — PhD in Cognitive Sciences, Psychology and Neurocognition
Laboratory of Psychology and Neurocognition, Grenoble Alps University, France
Supervisors: Pr. Monica BACIU (MD, PhD) and Pr. Mircea POLOSAN (MD, PhD)
Title: Fronto-limbic dysfunctions in bipolar disorder and effects of psychosocial therapeutic interventions: investigations with multi-modal MRI
2011 — National Research Master in Neuropsychology and Clinical Neurosciences
Grenoble Alps University, Lyon II University, Toulouse II University, France
Supervisor: Pr. Monica BACIU (MD, PhD)
2009 — Bachelor in Psychology
Grenoble Alps University, Dept. of Psychiatry
2005 — Baccalaureate in Science (Speciality: Biology)
NeuroSpin / INSERM-IMRB
NeuroSpin / INSERM-IMRB
Max Planck Institute in Leipzig, Germany
University Grenoble Alpes, Grenoble, France
Paris-Descartes University, Institute of Psychology - Lecturer in Psychology degree
Max Planck Institute for Human Cognition and Brain Science
Grenoble Alps University, Department of Psychology (128h)
Teacher assistant in Psychology degree
2025 Rencontres Translationnelles @ NeuroSpin, CEA Paris-Saclay. View Program (PDF)
2024 New publication — Krystal et al. Functional connectivity of the amygdala subnuclei in bipolar disorder. Molecular Psychiatry. DOI →
2024 New publication — Dietze et al. White matter microstructure in obesity and bipolar disorders. Molecular Psychiatry. DOI →
2023 Invited symposium presentation at SOBP (San Diego, USA) on machine learning prediction of bipolar disorder from brain imaging (3033 individuals, ENIGMA consortium).
06/2023 Our paper on "Functional connectivity of the amygdala subnuclei in various mood states of bipolar disorder" is available as a preprint: Krystal et al., 2023
01/2023 New paper out! Great collaboration with the psychiatry/neuroimaging team of Marseille! Global and local cortical folding alterations are associated with neurodevelopmental subtype in bipolar disorders: a sulcal pits analysis. Check it out: Lefrere et al., 2023
06/2022 I'm very happy to share that I received a grant from the French National Research Agency (ANR) to study the "Bayesian Bipolar Brain at 7T"! More info here: ANR link. PhD and Post-doc applications are welcome! :)
07/2022 New paper out! Real-time fMRI neurofeedback as a new treatment for psychiatric disorders? A meta analysis. Check it out: Pindi et al., 2022
10/2021 I am delighted to share that I have been recruited as tenured researcher (chargée de recherche) at INSERM: https://www.imrb.inserm.fr/actualites/felicitations-a-pauline-favre-nouvellement-recrutee-en-qualite-de-chargee-de-recherche-a-linserm-au-sein-de-lequipe-de-marion-leboyer/
05/2021 Our fMRI paper on the effect of 3 different meditation trainings on emotion reactivity is out in Neuroimage. Check it out (open access): https://www.sciencedirect.com/science/article/pii/S1053811921004092
12/2019: I am very happy to have won the second prize for the best paper of the year at the French Congress of Psychiatry in Nice!
08/2019: Our ENIGMA paper on white matter abnormailities in bipolar disorder is out in Neuropsychopharmacology Click here to access to the full text. Check interactive results HERE.
10/2018: I am honored to receive the UNAFAM Research Award 2018. Check the video for more details.
10/2018 I am starting a new post-doc position at INSERM U955 in the translational psychiatry team.