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| Pascal Bourdon, Olfa Ben Ahmed, Thierry Urruty, Khalifa Djemal, Christine Fernandez-Maloigne, « Explainable AI for Medical Imaging: Knowledge Matters », in Book, chapter of Multi-faceted Deep Learning, Models and Data, Editors: Benois-Pineau, Jenny, Zemmari, Akka, Springer, 11 August 2021 |
| O Ben-Ahmed, C Fernandez-Maloigne, A Julian, M Paccalin « Visual saliency for medical imaging and computer-aided diagnosis » Neurological Disorders and Imaging Physics, Volume 3, Application to autism spectrum disorders and Alzheimer’s, Pages 9-1 to 9-22, November 2019 |
Revues internationales
| Kherchouche, O. Ben-Ahmed, C. Guillevin, A. Julian, C. Fernandez-Maloigne, and R. Guillevin, “Fine-Grained Dementia Classification: A Transformer-Based Approach with Adversarial-Contrastive regularization and FDG-PET data”. IEEE Transactions on Emerging Topics in Computational, Intelligence (TETCI), 2023 (IF 6.43). |
| Kherchouche, O. Ben-Ahmed, C. Guillevin, B. Tremblais, and R. Guillevin, “MRS-XNet: An Explainable One-dimensional Deep Neural Network for Magnetic Spectroscopic Data classification”. The 29th IEEE International Conference on Image Processing (IEEE ICIP), 2022. |
| Kherchouche A, Ben-Ahmed O, Guillevin C, Tremblais B, Julian A, Fernandez-Maloigne C, Guillevin R Attention-guided neural network for early dementia detection using MRS data., Comput Med Imaging Graph. 2022 May 27;99:102074. doi: 10.1016/j.compmedimag.2022.102074. |
| Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe Habas, Rémy Guillevin, Investigating efficient CNN architecture for multiple sclerosis lesions segmentation », Journal of Medical imaging, 2021 (IF 1.58) |
| Hatchondo, Laura; Guillevin, Carole; Naudin, Mathieu; Miranville Alain, Guillevin Remy. Mathematical modeling of brain metabolites variations in the circadian rhythm . AIMS Mathematics Volume: 5 Issue: 1 Pages: 216-225 Published: 2020 |
| Hatchondo L, Vallée A, Vallée R, Jaafari N, Maillochaud S, Naudin M, Vallée JN, Guillevin R, Guillevin C, Altered phospholipid and high-energy phosphate metabolism in the basal ganglia and thalamus of severe obsessive compulsive patients with treatment resistance: A phosphorus 31 nuclear magnetic resonance spectroscopy study. Psychiatry Res Neuroimaging. 2020 Oct 29:111217. doi: 10.1016/j.pscychresns.2020.111217. Online ahead of print. PMID: 33199172 |
| Alexandre Vallee, Yves Lecarpentier, Rémy Guillevin, and Jean-Noel Vallée , The influence of circadian rhythms and aerobic glycolysis in Autism Spectrum Disorder by Translational Psychiatry, Transl Psychiatry. 2020 Nov 16;10(1):400. doi: 10.1038/s41398-020-01086-9. PMID: 33199680 |
| Hatchondo, Laura; Guillevin, Carole; Naudin, Mathieu; Miranville Alain, Guillevin Remy. Mathematical modeling of brain metabolites variations in the circadian rhythm. AIMS Mathematics Volume: 5 Issue: 1 Pages: 216-225 2020 |
| Vallée A, Vallée JN, Guillevin R, Lecarpentier Y., Riluzole: a therapeutic strategy in Alzheimer’s disease by targeting the WNT/β-catenin pathway. Aging (Albany NY). 2020 Feb 8;12(3):3095-3113. doi: 10.18632/aging.102830. Epub 2020 Feb 8. PMID:32035419 |
| A Vallée, Y Leacrpentier Rémy Guillevin JN Vallée, Circadian rythms, neuroinflammation and oxidative stress in the story of Parkinson’s disease Cells 2020, 9, 314; doi:10.3390/cells9020314 |
| Guillevin C, Agius P, Naudin M, Herpe G, Ragot S Maubeuge N, Neau JP, Guillevin R. 31P-1H magnetic resonance spectroscopy: effect of Biotin in multiple sclerosis Ann Clin Transl Neurol. 2019 Jul;6(7):1332-1337. doi: 10.1002/acn3.50825. Epub 2019 Jun 27. |
| Velu Laura, Luc Pellerin, Adrien Julian, Marc Paccalin, Clément Giraud, Pierre Fayolle, Rémy Guillevin, et Carole Guillevin. « Early rise of glutamate-glutamine levels in mild cognitive impairment: Evidence for emerging excitotoxicity ». Journal of Neuroradiology, 28 septembre 2023. https://doi.org/10.1016/j.neurad.2023.09.003. |
Conférences internationales
| Landoline Bonnin, Pascal Bourdon, Carole Guillevin, Clement Giraud, Luc Pellerin, Christine Fernandez-Maloigne, Diurnal dynamism of a brain metabolic network, ICABME Beyrouth, Liban 12-13 oct 2023 |
| Kherchouche, O. Ben-Ahmed, C. Guillevin, B. Tremblais, C. Fernandez-Maloigne, and R. Guillevin, “MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging”. International Conference on Medical Image Computing and Computer Assisted Workshop on PRedictive Intelligence in MEdicine (MICCAI), PRIME, 2022 |
| Guang Yang, Arvind Rao, Christine Fernandez Maloigne, Vince D. Calhoun, Gloria Menegaz,EXPLAINABLE AI (XAI) IN BIOMEDICAL SIGNAL AND IMAGE PROCESSING: PROMISES AND CHALLENGES, IEEE ICIP 2022, Bordeaux 16-19 october 2022 |
| Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe Habas, et Remy Guillevin. Learning a CNN on multiple sclerosis lesion segmentation with self-supervision. 3D Measurement and Data Processing, IS&T Electronic Imaging 2020 Symposium, Jan 2020, San Francisco, United States https://hal.archives-ouvertes.fr/hal-02378210/document BEST PAPER AWARD |
| O; Ben-Ahmed, S Fezzani, C Guillevin, L Fezai, M Naudin, B Gianelli,C Fernandez. « DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS Data », IEEE International Symposium on Biomedical Imaging (ISBI) 2020, 3-7 April 2020, Lowa CIty, USA |
Conférences nationales
| Clément Giraud, Carole Guillevin, Ludovic Blanchard, Adrien Julian, Rémy Guillevin. Etude du profil du métabolisme phosphorylé comme biomarqueur prédictif du déclin cognitif dans le cadre de la plainte mnésique. Journées Francophones de Radiologie, Palais des Congrès de Paris, oct 2022. |
| Laura Velu, Carole Guillevin, A Julian, L Pellerin, L. Blanchard, C. Giraud, JN Vallée, R Guillevin. Intérêt de l’exploration du GABA et du Glutamate en spectroscopie par résonance magnétique du proton dans la plainte cognitive. Journées Francophones de Radiologie, Paris, oct 2022. |
| Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien julian, Christine Fernandez-Maloigne et Rémy Guillevin. Réseau neuronal profond faiblement supervisé pour la détection précoce de la démence à l’aide de données SRM. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE |
| Carole Guilevin, Clément Giraud. Etude du profil du métabolisme phosphorylé comme biomarqueur prédictif du déclin cognitif dans le cadre de la plainte mnésique. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE |
| Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien julian, Christine Fernandez-Maloigne et Rémy Guillevin, Intelligence Artificielle pour l’aide au diagnostic et à la prédiction des maladies neurodégénératives Plate-Forme Intelligence Artificielle (PFIA 2021) Bordeaux, France |
| Early rise of glutamate-glutamine levels in mild cognitive impairment: Evidence for emerging excitotoxicity.
Velu L, Pellerin L, Julian A, Paccalin M, Giraud C, Fayolle P, Guillevin R, Guillevin C. J Neuroradiol. 2024 Mar;51(2):168-175. doi: 10.1016/j.neurad.2023.09.003. |
| Identification of Intron Retention in the Slc16a3 Gene Transcript Encoding the Transporter MCT4 in the Brain of Aged and Alzheimer-Disease Model (APPswePS1dE9) Mice.
El-Seedy A, Pellerin L, Page G, Ladeveze V. Genes (Basel). 2023 Oct 17;14(10):1949. doi: 10.3390/genes14101949. |
| Loss of microglial MCT4 leads to defective synaptic pruning and anxiety-like behavior in mice.
Monsorno K, Ginggen K, Ivanov A, Buckinx A, Lalive AL, Tchenio A, Benson S, Vendrell M, D’Alessandro A, Beule D, Pellerin L, Mameli M, Paolicelli RC. Nat Commun. 2023 Sep 16;14(1):5749. doi: 10.1038/s41467-023-41502-4. |
| Comment on « Microglial activation states drive glucose uptake and FDG-PET alterations in neurodegenerative diseases ».
Zimmer ER, Pascoal TA, Rosa-Neto P, Nordberg A, Pellerin L. Sci Transl Med. 2022 Aug 24;14(659):eabm8302. doi: 10.1126/scitranslmed.abm8302. |
| Clozapine induces astrocyte-dependent FDG-PET
Rocha A, Bellaver B, Souza DG, Schu G, Fontana IC, Venturin GT, Greggio S, Fontella FU, Schiavenin ML, Machado LS, Miron D, da Costa JC, Rosa-Neto P, Souza DO, Pellerin L, Zimmer ER. Eur J Nucl Med Mol Imaging. 2022 Jun;49(7):2251-2264. doi: 10.1007/s00259-022-05682-3. |
| Astrocyte Biomarkers in Alzheimer Disease: A Systematic Review and Meta-analysis.
Bellaver B, Ferrari-Souza JP, Uglione da Ros L, Carter SF, Rodriguez-Vieitez E, Nordberg A, Pellerin L, Rosa-Neto P, Leffa DT, Zimmer ER. Neurology. 2021 Jun 14;96(24):e2944-e2955. doi: 10.1212/WNL.0000000000012109. |
| Lactate transporters in the rat barrel cortex sustain whisker-dependent BOLD fMRI signal and behavioral performance.
Roumes H, Jollé C, Blanc J, Benkhaled I, Chatain CP, Massot P, Raffard G, Bouchaud V, Biran M, Pythoud C, Déglon N, Zimmer ER, Pellerin L, Bouzier-Sore AK. Proc Natl Acad Sci U S A. 2021 Nov 23;118(47):e2112466118. doi: 10.1073/pnas.2112466118. |
| Neuronal and astroglial monocarboxylate transporters play key but distinct roles in hippocampus-dependent learning and memory formation.
Netzahualcoyotzi C, Pellerin L. Prog Neurobiol. 2020 Nov;194:101888. doi: 10.1016/j.pneurobio.2020.101888. |
| Astrocyte Biomarkers in Alzheimer’s Disease.
Carter SF, Herholz K, Rosa-Neto P, Pellerin L, Nordberg A, Zimmer ER. Trends Mol Med. 2019 Feb;25(2):77-95. doi: 10.1016/j.molmed.2018.11.006. |
| [(18)F]FDG PET signal is driven by astroglial glutamate transport.
Zimmer ER, Parent MJ, Souza DG, Leuzy A, Lecrux C, Kim HI, Gauthier S, Pellerin L, Hamel E, Rosa-Neto P. Nat Neurosci. 2017 Mar;20(3):393-395. doi: 10.1038/nn.4492. |
| A neuronal MCT2 knockdown in the rat somatosensory cortex reduces both the NMR lactate signal and the BOLD response during whisker stimulation.
Mazuel L, Blanc J, Repond C, Bouchaud V, Raffard G, Déglon N, Bonvento G, Pellerin L, Bouzier-Sore AK. PLoS One. 2017 Apr 7;12(4):e0174990. doi: 10.1371/journal.pone.0174990. |
| Alzheimer’s disease: the amyloid hypothesis and the Inverse Warburg effect.
Demetrius LA, Magistretti PJ, Pellerin L. Front Physiol. 2015 Jan 14;5:522. doi: 10.3389/fphys.2014.00522. |
| Brain energy metabolism in Alzheimer’s disease: 99mTc-HMPAO SPECT imaging during verbal fluency and role of astrocytes in the cellular mechanism of 99mTc-HMPAO retention.
Slosman DO, Ludwig C, Zerarka S, Pellerin L, Chicherio C, de Ribaupierre A, Annoni JM, Bouras C, Herrmann F, Michel JP, Giacobini E, Magistretti PJ. Brain Res Brain Res Rev. 2001 Oct;36(2-3):230-40. doi: 10.1016/s0165-0173(01)00099-6. |
| The contribution of astrocytes to the 18F-2-deoxyglucose signal in PET activation studies.
Magistretti PJ, Pellerin L. Mol Psychiatry. 1996 Dec;1(6):445-52. |
| Barsznica, Y., Noiret, N., Lambert, B., Monnin, J., de Pinho, C., Hickel, J., Masse, C., Richard-Devantoy, S., Morgny, C., Bennabi, D., Haffen, E., Laurent, E., Vandel, P., Chopard, G. (2021). Saccadic eye movements in elderly depressed patients with suicidal behaviors: An exploratory eye-tracking study. Frontiers in Psychology, 12, 1-9. |
| Barsznica, Y., Noiret, N., Chopard, G., & Vandel, P. (2019). Intérêt potentiel des saccades oculaires pour la détection des conduites suicidaires chez la personne dépressive âgée. Gériatrie et Psychologie Neuropsychiatrie du Vieillissement, 17(1), 92-98. |
| Noiret, N., Carvalho, N., Laurent, E., Chopard, G., Binetruy, M., Nicolier, M, Monnin, J., Magnin, E., & Vandel, P. (2018). Saccadic eye movements and attentional control in Alzheimer’s disease. Archives of Clinical Neuropsychology. 33(1), 1-13. |
| Noiret, N., Vigneron, B., Diogo, M., Vandel, P., & Laurent, E. (2017). Saccadic eye movements: What do they tell us about aging cognition? Aging, Neuropsychology and Cognition, 24(5), 575-599. |
| Noiret, N., Carvalho, N., Vandel, P., Laurent, É. (2016). Processus oculomoteurs dans la dépression : aspects comportementaux et neuropsychologiques. In É. Laurent, P. Vandel (dir.), De l’humeur normale à la dépression en psychologie cognitive, neurosciences et psychiatrie. Bruxelles: De Boeck-Solal. |
| Carvalho, N., Laurent, E., Noiret, N., Chopard, G., Haffen, E., Bennabi, D., & Vandel, P. (2015). Eye movement in unipolar depression and bipolar disorders: A systematic review of the literature. Frontiers in Psychology: Psychopathology, 6, 1-19. |
| Noiret, N., Carvalho, N., Laurent, E., Vulliez, L., Bennabi, D., Chopard, G., Haffen, E., Nicolier, M., Monnin, J., & Vandel, P. (2015). Visual scanning behavior during processing of emotional faces in older adults with depression. Aging and Mental Health, 19(3), 264-273. |
| Carvalho, N., Noiret, N., Vandel, P., Monnin, J., Chopard, G., & Laurent, E. (2014). Saccadic eye movements in depressed elderly patients. PLoS ONE, 9(8), e105355. |
| Liliane Bonnal, Pascal Favard, Thomas Maurice, “Aides formelles et informelles pour les seniors : substituabilité ou complémentarité ? », Revue Economique, à paraître |
| Liliane Bonnal, Greivis Buitrago Gámez, Pascal Favard, Cornel Oros, “Who gets injured at home? Evidence from older people in France”, Bulletin of Economic Research, 75(2), 450-475, 2023. |
| Jean-Marc Bascans, Christophe Courbage, Cornel Oros, « Le puzzle du financement du risque dépendance », Lettre d’Information Recherche sur le Vieillissement, 13, June 2018. |
| Jean-Marc Bascans, Christophe Courbage, Cornel Oros, “Means Tested Public support, long-term care insurance and informal care”, International Journal of Health Economics and Management, 17(2), 113-133, 2017. |
| Jean-Marc Bascans, Cornel Oros, « Risque dépendance et couverture familiale : quels effets des coûts sociaux de l’aide informelle », Revue Assurance et Gestion des Risques/ Insurance and Risk Management Journal, 82(1-2), 49-72, 2015. |