Brainomics project references

Publications of the Brainomics group

2019

  1. Guigui, N., Philippe, C., Gloaguen, A., Karkar, S., Guillemot, V., Löfstedt, T., & Frouin, V. (2019). Network regularization in imaging genetics improves prediction performances and model interpretability on Alzheimers’s disease. In ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging. Venice, Italy. Retrieved from https://hal-cea.archives-ouvertes.fr/cea-02016625
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  2. Karkar, S., Gloaguen, A., Le Guen, Y., Pierre-Jean, M., Dandine-Roulland, C., Le Floch, E., … Frouin, V. (2019). Multivariate haplotype analysis of 96 sulci opening for 15,612 UK-Biobank subjects. In ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging. Venice, Italy. Retrieved from https://hal-cea.archives-ouvertes.fr/cea-02016827
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  3. Le Guen, Y., Karkar, S., Grigis, A., Philippe, C., Mangin, J.-F., & Frouin, V. (2019). Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset. In ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging. Venice, Italy. Retrieved from https://hal-cea.archives-ouvertes.fr/cea-02016831
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2018

  1. Le Guen, Y., Amalric, M., Pinel, P., Pallier, C., & Frouin, V. (2018). Shared genetic aetiology between cognitive performance and brain activations in language and math tasks. Scientific Reports, 8(1), 17624. https://doi.org/10.1038/s41598-018-35665-0
    doi url
  2. Le Guen, Y., Philippe, C., Riviere, D., Lemaitre, H., Grigis, A., Fischer, C., … Frouin, V. (2018). eQTL of KCNK2 regionally influences the brain sulcal widening: evidence from 15,597 UK Biobank participants with neuroimaging data. Brain Structure & Function. https://doi.org/10.1007/s00429-018-1808-9
    doi url
  3. Goya-Outi, J., Orlhac, F., Calmon, R., Alentorn, A., Nioche, C., Philippe, C., … Frouin, F. (2018). Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma. Physics in Medicine and Biology, 63(10), 105003–105003. https://doi.org/10.1088/1361-6560/aabd21
    doi
  4. D’Alberto, N., Chaarani, B., Orr, C. A., Spechler, P. A., Albaugh, M. D., Allgaier, N., … Itterman B, M. J. L. (2018). Individual differences in stop-related activity are inflated by the adaptive algorithm in the stop signal task. Hum Brain Mapp. https://doi.org/10.1002/hbm.2407
    doi
  5. de Pierrefeu, A., Lofstedt, T., Hadj-Selem, F., Dubois, M., Jardri, R., Fovet, T., … Duchesnay, E. (2018). Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. IEEE Transactions on Medical Imaging, 37(2), 396–407. https://doi.org/10.1109/TMI.2017.2749140
    doi url
  6. Orlhac, F., Boughdad, S., Philippe, C., Stalla-Bourdillon, H., Nioche, C., Champion, L., … Buvat, I. (2018). A post-reconstruction harmonization method for multicenter radiomic studies in PET. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. https://doi.org/10.2967/jnumed.117.199935
    doi
  7. Brislin, S. J., Patrick, C. J., Flor, H., Nees, F., Heinrich, A., Drislane, L. E., … Foell, J. (2018). Extending the Construct Network of Trait Disinhibition to the Neuroimaging Domain: Validation of a Bridging Scale for Use in the European IMAGEN Project. Assessment. https://doi.org/10.1177/1073191118759748
    doi
  8. D’Alberto, N., Chaarani, B., Orr, C. A., Spechler, P. A., Albaugh, M. D., Allgaier, N., … Garavan, H. (2018). Individual differences in stop-related activity are inflated by the adaptive algorithm in the stop signal task. Human Brain Mapping. https://doi.org/10.1002/hbm.24075
    doi
  9. Gonzalez, D. A., Jia, T., Pinzón, J. H., Acevedo, S. F., Ojelade, S. A., Xu, B., … Rothenfluh, A. (2018). The Arf6 activator Efa6/PSD3 confers regional specificity and modulates ethanol consumption in Drosophila and humans. Molecular Psychiatry, 23(3). https://doi.org/10.1038/mp.2017.112
    doi
  10. Hadj-Selem, F., Lofstedt, T., Dohmatob, E., Frouin, V., Dubois, M., Guillemot, V., & Duchesnay, E. (2018). Continuation of Nesterov’s Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging. IEEE Transactions on Medical Imaging, 1–1. https://doi.org/10.1109/TMI.2018.2829802
    doi url
  11. Isaksson, J., Tammimies, K., Neufeld, J., Cauvet, É., Lundin, K., Buitelaar, J. K., … Zwiers, M. P. (2018). EU-AIMS Longitudinal European Autism Project (LEAP): The autism twin cohort. Molecular Autism, 9(1). https://doi.org/10.1186/s13229-018-0212-x
    doi
  12. Karkar, S., Le Guen, Y., Philippe, C., Dandine-Roulland, C., Pierre-Jean, M., Mangin, J.-F., … Frouin, V. (2018). A study of feasibility for genome-wide haplotype association of complex traits in imaging genetics. In BIBM 2018 - Proceedings of The IEEE International Conference on Bioinformatics and Biomedicine. Madrid, Spain. Retrieved from https://hal-cea.archives-ouvertes.fr/cea-02016635
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  13. Le Guen, Y., Leroy, F., Auzias, G., Riviere, D., Grigis, A., Mangin, J. F., … Frouin, V. (2018). The chaotic morphology of the left superior temporal sulcus is genetically constrained. NeuroImage, 174, 297–307. https://doi.org/10.1016/j.neuroimage.2018.03.046
    doi
  14. Nemmi, F., Nymberg, C., Darki, F., Banaschewski, T., Bokde, A. L. W., Büchel, C., … Klingberg, T. (2018). Interaction between striatal volume and DAT1 polymorphism predicts working memory development during adolescence. Developmental Cognitive Neuroscience, 30. https://doi.org/10.1016/j.dcn.2018.03.006
    doi
  15. O’Halloran, L., Cao, Z., Ruddy, K., Jollans, L., Albaugh, M. D., Aleni, A., … Whelan, R. (2018). Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology. NeuroImage, 169. https://doi.org/10.1016/j.neuroimage.2017.12.030
    doi
  16. Oldehinkel, M., Mennes, M., Marquand, A., Charman, T., Tillmann, J., Ecker, C., … Zwiers, M. P. (2018). Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, (2019). https://doi.org/10.1016/j.bpsc.2018.11.010
    doi url
  17. Seo, S., Beck, A., Matthis, C., Genauck, A., Banaschewski, T., Bokde, A. L., … Obermayer, K. (2018). Risk profiles for heavy drinking in adolescence: Differential effects of gender. Addiction Biology. https://doi.org/10.1111/adb.12636
    doi

2017

  1. Charman, T., Loth, E., Tillmann, J., Crawley, D., Wooldridge, C., Goyard, D., … Buitelaar, J. K. (2017). The EU-AIMS Longitunal European Autism Project (LEAP): clinical characterisation. Molecular Autism, 8, 27.
  2. Loth, E., Charman, T., Mason, L., Tillmann, J., Jones, E. J. H., Wooldridge, C., … Buitelaar, J. K. (2017). The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders. Molecular Autism, 8, 24. https://doi.org/10.1186/s13229-017-0146-8
    doi
  3. Le Guen, Y., Auzias, G., Leroy, F., Noulhiane, M., Dehaene-Lambertz, G., Duchesnay, E., … Frouin, V. (2017). Genetic Influence on the Sulcal Pits: On the Origin of the First Cortical Folds. Cerebral Cortex, 1–12. https://doi.org/10.1093/cercor/bhx098
    doi url
  4. Grigis, A., Goyard, D., Cherbonnier, R., Gareau, T., Orfanos, D. P., Chauvat, N., … Frouin, V. (2017). Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework. FRONTIERS IN NEUROINFORMATICS, 11, Article Number: 18. https://doi.org/DOI: 10.3389/fninf.2017.00018
    doi
  5. Albaugh, M. D., Orr, C., Chaarani, B., Althoff, R. R., Allgaier, N., D’Alberto, N., … Potter, A. S. (2017). Inattention and Reaction Time Variability Are Linked to Ventromedial Prefrontal Volume in Adolescents. Biological Psychiatry, 82(9). https://doi.org/10.1016/j.biopsych.2017.01.003
    doi
  6. Bartholdy, S., Allen, K., Hodsoll, J., O’Daly, O. G., Campbell, I. C., Banaschewski, T., … Schmidt, U. (2017). Identifying disordered eating behaviours in adolescents: how do parent and adolescent reports differ by sex and age? European Child and Adolescent Psychiatry, 26(6). https://doi.org/10.1007/s00787-016-0935-1
    doi
  7. Bourque, J., Spechler, P. A., Potvin, S., Whelan, R., Banaschewski, T., Bokde, A. L. W., … Conrod, P. J. (2017). Functional neuroimaging predictors of self-reported psychotic symptoms in adolescents. American Journal of Psychiatry, 174(6). https://doi.org/10.1176/appi.ajp.2017.16080897
    doi
  8. Charman, T., Loth, E., Tillmann, J., Crawley, D., Wooldridge, C., Goyard, D., … Buitelaar, J. K. (2017). The EU-AIMS Longitudinal European Autism Project (LEAP): Clinical characterisation. Molecular Autism, 8(1). https://doi.org/10.1186/s13229-017-0145-9
    doi
  9. Deng, W., Rolls, E. T., Ji, X., Robbins, T. W., Banaschewski, T., Bokde, A. L. W., … Feng, J. (2017). Separate neural systems for behavioral change and for emotional responses to failure during behavioral inhibition. Human Brain Mapping. https://doi.org/10.1002/hbm.23607
    doi
  10. Grigis, A., Goyard, D., Cherbonnier, R., Gareau, T., Papadopoulos Orfanos, D., Chauvat, N., … Frouin, V. (2017). Neuroimaging, genetics, and clinical data sharing in python using the CubicWeb framework. Frontiers in Neuroinformatics, 11. https://doi.org/10.3389/fninf.2017.00018
    doi
  11. Guadalupe, T., Mathias, S. R., VanErp, T. G. M., Whelan, C. D., Zwiers, M. P., Abe, Y., … Francks, C. (2017). Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging and Behavior, 11(5). https://doi.org/10.1007/s11682-016-9629-z
    doi
  12. Guen, Y. L., Auzias, G., Dehaene-Lambertz, G., Leroy, F., Mangin, J.-F., Duchesnay, E., … Frouin, V. (2017). Regional study of the genetic influence on the sulcal pits. In 14th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2017, Melbourne, Australia, April 18-21, 2017 (pp. 77–80). IEEE. https://doi.org/10.1109/ISBI.2017.7950472
    doi url
  13. Khan, W., Giampietro, V., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., … Simmons, A. (2017). A Multi-Cohort Study of ApoE ϵ 4 and Amyloid-βEffects on the Hippocampus in Alzheimer’s Disease. Journal of Alzheimer’s Disease, 56(3). https://doi.org/10.3233/JAD-161097
    doi
  14. Le Guen, Y., Auzias, G., Leroy, F., Noulhiane, M., Dehaene-Lambertz, G., Duchesnay, E., … Frouin, V. (2017). Genetic Influence on the Sulcal Pits: On the Origin of the First Cortical Folds. Cerebral Cortex, 1–12. Retrieved from https://academic.oup.com/cercor/article/3746075
    url
  15. Loth, E., Charman, T., Mason, L., Tillmann, J., Jones, E. J. H., Wooldridge, C., … Buitelaar, J. K. (2017). The EU-AIMS Longitudinal European Autism Project (LEAP): Design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders. Molecular Autism, 8(1). https://doi.org/10.1186/s13229-017-0146-8
    doi
  16. Mackey, S., Chaarani, B., Kan, K.-J., Spechler, P. A., Orr, C., Banaschewski, T., … Garavan, H. (2017). Brain Regions Related to Impulsivity Mediate the Effects of Early Adversity on Antisocial Behavior. Biological Psychiatry, 82(4). https://doi.org/10.1016/j.biopsych.2015.12.027
    doi
  17. Mielenz, D., Reichel, M., Jia, T., Quinlan, E. B., Stöckl, T., Mettang, M., … Müller, C. P. (2017). EFhd2/Swiprosin-1 is a common genetic determinator for sensation-seeking/low anxiety and alcohol addiction. Molecular Psychiatry. https://doi.org/10.1038/mp.2017.63
    doi
  18. Nees, F., Becker, S., Millenet, S., Banaschewski, T., Poustka, L., Bokde, A., … Flor, H. (2017). Brain substrates of reward processing and the μ-opioid receptor: A pathway into pain? Pain, 158(2). https://doi.org/10.1097/j.pain.0000000000000720
    doi
  19. Papadopoulos Orfanos, D., Michel, V., Schwartz, Y., Pinel, P., Moreno, A., Le Bihan, D., & Frouin, V. (2017). The Brainomics/Localizer database. NeuroImage, 144. https://doi.org/10.1016/j.neuroimage.2015.09.052
    doi
  20. Quinlan, E. B., Cattrell, A., Jia, T., Artiges, E., Banaschewski, T., Barker, G., … Schumann, G. (2017). Psychosocial stress and brain function in adolescent psychopathology. American Journal of Psychiatry, 174(8). https://doi.org/10.1176/appi.ajp.2017.16040464
    doi
  21. Ruggeri, B., Macare, C., Stopponi, S., Jia, T., Carvalho, F. M., Robert, G., … Schumann, G. (2017). Methylation of OPRL1 mediates the effect of psychosocial stress on binge drinking in adolescents. Journal of Child Psychology and Psychiatry and Allied Disciplines. https://doi.org/10.1111/jcpp.12843
    doi
  22. Sadaghiani, S., Ng, B., Altmann, A., Poline, J.-B., Banaschewski, T., Bokde, A. L. W., … Greicius, M. (2017). Overdominant effect of a CHRNA4 polymorphism on cingulo-opercular network activity and cognitive control. Journal of Neuroscience, 37(40). https://doi.org/10.1523/JNEUROSCI.0991-17.2017
    doi
  23. Xu, B., Jia, T., Macare, C., Banaschewski, T., Bokde, A. L. W., Bromberg, U., … Mennigen, E. (2017). Impact of a Common Genetic Variation Associated With Putamen Volume on Neural Mechanisms of Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 56(5). https://doi.org/10.1016/j.jaac.2017.02.009
    doi

2016

  1. Ewald, A., Becker, S., Heinrich, A., Banaschewski, T., Poustka, L., Bokde, A., … Nees, F. (2016). The role of the cannabinoid receptor in adolescents’ processing of facial expressions. Eur J Neurosci., 43, 98–105.
  2. Castellanos-Ryan, N., Briere, F. N., O’Leary-Barrett, M., Banaschewski, T., Bokde, A., Bromberg, U., … The IMAGEN Consortium. (2016). The structure of psychopathology in adolescence and its common personality and cognitive correlates. Journal of Abnormal Psychology, 125(8). https://doi.org/10.1037/abn0000193
    doi
  3. Ewald, A., Becker, S., Heinrich, A., Banaschewski, T., Poustka, L., Bokde, A., … Nees, F. (2016). The role of the cannabinoid receptor in adolescents′ processing of facial expressions. European Journal of Neuroscience, 43(1). https://doi.org/10.1111/ejn.13118
    doi
  4. Gollier-Briant, F., Paillère-Martinot, M.-L., Lemaitre, H., Miranda, R., Vulser, H., Goodman, R., … Artiges, E. (2016). Neural correlates of three types of negative life events during angry face processing in adolescents. Social Cognitive and Affective Neuroscience, 11(12).
  5. Jia, T., Macare, C., Desrivières, S., Gonzalez, D. A., Tao, C., Ji, X., … Schumann, G. (2016). Neural basis of reward anticipation and its genetic determinants. Proceedings of the National Academy of Sciences of The United States of America, 113(14). https://doi.org/10.1073/pnas.1503252113
    doi
  6. Jollans, L., Zhipeng, C., Icke, I., Greene, C., Kelly, C., Banaschewski, T., … Whelan, R. (2016). Ventral Striatum Connectivity During Reward Anticipation in Adolescent Smokers. Developmental Neuropsychology, 41(1-2). https://doi.org/10.1080/87565641.2016.1164172
    doi
  7. Löfstedt, T., Hadj-Selem, F., Guillemot, V., Philippe, C., Duchesnay, E., Frouin, V., & Tenenhaus, A. (2016). Structured variable selection for regularized generalized canonical correlation analysis. In Springer Proceedings in Mathematics and Statistics (Vol. 173). https://doi.org/10.1007/978-3-319-40643-5_10
    doi
  8. Lancaster, T. M., Linden, D. E., Tansey, K. E., Banaschewski, T., Bokde, A. L. W., Bromberg, U., … Schumann, G. (2016). Polygenic risk of psychosis and ventral striatal activation during reward processing in healthy adolescents. JAMA Psychiatry, 73(8). https://doi.org/10.1001/jamapsychiatry.2016.1135
    doi
  9. Meyer, B. M., Huemer, J., Rabl, U., Boubela, R. N., Kalcher, K., Berger, A., … Pezawas, L. (2016). Oppositional COMT Val158Met effects on resting state functional connectivity in adolescents and adults. Brain Structure and Function, 221(1). https://doi.org/10.1007/s00429-014-0895-5
    doi
  10. Operto, G., Chupin, M., Batrancourt, B., Habert, M.-O., Colliot, O., Benali, H., … Cointepas, Y. (2016). CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts. Neuroinformatics, 14(3). https://doi.org/10.1007/s12021-016-9295-8
    doi
  11. Operto, G., Chupin, M., Batrancourt, B., Habert, M.-O., Colliot, O., Benali, H., … CATI Consortium. (2016). CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts. Neuroinformatics, 14(3), 253–264. https://doi.org/10.1007/s12021-016-9295-8
    doi
  12. Predictive utility of the NEO-FFI for later substance experiences among 16-year-old adolescents. (2016). Journal of Public Health (Germany), 24(6). https://doi.org/10.1007/s10389-016-0747-2
    doi
  13. Raffaelli, B., Strache, N., Parchetka, C., Artiges, E., Banaschewski, T., Bokde, A., … Gallinat, J. (2016). Sex-related differences in frequency and perception of stressful life events during adolescence. Journal of Public Health (Germany), 24(5). https://doi.org/10.1007/s10389-016-0731-x
    doi
  14. Stacey, D., Lourdusamy, A., Ruggeri, B., Maroteaux, M., Jia, T., Cattrell, A., … Schumann, G. (2016). A translational systems biology approach in both animals and humans identifies a functionally related module of accumbal genes involved in the regulation of reward processing and binge drinking in males. Journal of Psychiatry and Neuroscience, 41(3). https://doi.org/10.1503/jpn.150138
    doi

2015

  1. Cury, C., Toro, R., Cohen, F., Fischer, C., Mhaya, A., Samper-Gonzalez, J., … Colliot, O. (2015). Incomplete Hippocampal Inversion: A Comprehensive MRI Study of Over 2000 Subjects. FRONTIERS IN NEUROANATOMY, 9, 160. https://doi.org/10.3389/fnana.2015.00160
    doi
  2. Ortuno-Sierra, J., Fonseca-Pedrero, E., Aritio-Solana, R., Moreno Velasco, A., Chocarro de Luis, E., Schumann, G., … Lawrence, C. (2015). New evidence of factor structure and measurement invariance of the SDQ across five European nations. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 24(12), 1523–1534. https://doi.org/10.1007/s00787-015-0729-x
    doi
  3. Spechler, P. A., Orr, C. A., Chaarani, B., Kan, K.-J., Mackey, S., Morton, A., … Garavan, H. (2015). Cannabis use in early adolescence: Evidence of amygdala hypersensitivity to signals of threat. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 16, 63–70. https://doi.org/10.1016/j.dcn.2015.08.007
    doi
  4. Stacey, D., Lourdusamy, A., Ruggeri, B., Maroteaux, M., Jia, T., Cattrell, A., … Schumann, G. (2015). A translational systems biology approach in both animals and humans identifies a functionally related module of accumbal genes involved in the regulation of reward processing and binge drinking in males. J Psychiatry Neurosci., 41.
  5. Stringaris, A., Belil, P. V.-R., Artiges, E., Lemaitre, H., Gollier-Briant, F., Wotke, S., … Paillere-Martinot, M.-L. (2015). The Brain’s Response to Reward Anticipation and Depression in Adolescence: Dimensionality, Specificity, and Longitudinal Predictions in a Community-Based Sample. AMERICAN JOURNAL OF PSYCHIATRY, 172(12), 1215–1223. https://doi.org/10.1176/appi.ajp.2015.14101298
    doi
  6. Jurk, S., Kuitunen-Paul, S., Kroemer, N. B., Artiges, E., Banaschewski, T., Bokde, A. L. W., … Smolka, M. N. (2015). Personality and Substance Use: Psychometric Evaluation and Validation of the Substance Use Risk Profile Scale (SURPS) in English, Irish, French, and German Adolescents. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 39(11), 2234–2248. https://doi.org/10.1111/acer.12886
    doi
  7. Papadopoulos Orfanos, D., Michel, V., Schwartz, Y., Pinel, P., Moreno, A., Le Bihan, D., & Frouin, V. (2015). The Brainomics/Localizer database. Neuroimage, 15, 00874–5.
  8. Benzina, S., Pitaval, A., Lemercier, C., Lustremant, C., Frouin, V., Wu, N., … Gidrol, X. (2015). A kinome-targeted RNAi-based screen links FGF signaling to H2AX phosphorylation in response to radiation. Cellular and Molecular Life Sciences, 72(18). https://doi.org/10.1007/s00018-015-1901-7
    doi
  9. Cury, C., Toro, R., Cohen, F., Fischer, C., Mhaya, A., Samper-González, J., … Colliot, O. (2015). Incomplete hippocampal inversion: A comprehensive MRI study of over 2000 subjects. Frontiers in Neuroanatomy, 9(DEC). https://doi.org/10.3389/fnana.2015.00160
    doi
  10. Dell’Acqua, F., Khan, W., Gottlieb, N., Giampietro, V., Ginestet, C., Bouls, D., … Simmons, A. (2015). Tract based spatial statistic reveals no differences in white matter microstructural organization between carriers and non-carriers of the APOE \epsilon4 and \epsilon2 alleles in young healthy adolescents. Journal of Alzheimer’s Disease, 47(4). https://doi.org/10.3233/JAD-140519
    doi
  11. Duchesnay, E., Bourgin, J., Hadj-Selem, F., & Frouin, V. (2015). Méthodes de prédiction multivariées basées sur la neuroimagerie : application aux maladies psychiatriques. Annales Médico-Psychologiques, Revue Psychiatrique.
  12. Duchesnay, E., Bourgin, J., Hadj-Selem, F., & Frouin, V. (2015). Multivariate prediction methods based on neuroimaging: Application to psychiatric disorders. Annales Medico-Psychologiques, 173(3). https://doi.org/10.1016/j.amp.2015.03.002
    doi
  13. French, L., Gray, C., Leonard, G., Perron, M., Pike, G. B., Richer, L., … Paus, T. (2015). Early cannabis use, polygenic risk score for schizophrenia, and brain maturation in adolescence. JAMA Psychiatry, 72(10). https://doi.org/10.1001/jamapsychiatry.2015.1131
    doi
  14. Fritsch, V., Da Mota, B., Loth, E., Varoquaux, G., Banaschewski, T., Barker, G. J., … Thirion, B. (2015). Robust regression for large-scale neuroimaging studies. NeuroImage, 111. https://doi.org/10.1016/j.neuroimage.2015.02.048
    doi
  15. Galinowski, A., Miranda, R., Lemaitre, H., Paillère Martinot, M.-L., Artiges, E., Vulser, H., … Rogers, J. (2015). Resilience and corpus callosum microstructure in adolescence. Psychological Medicine, 45(11). https://doi.org/10.1017/S0033291715000239
    doi
  16. Jurk, S., Kuitunen-Paul, S., Kroemer, N. B., Artiges, E., Banaschewski, T., Bokde, A. L. W., … Smolka, M. N. (2015). Personality and Substance Use: Psychometric Evaluation and Validation of the Substance Use Risk Profile Scale (SURPS) in English, Irish, French, and German Adolescents. Alcoholism: Clinical and Experimental Research, 39(11). https://doi.org/10.1111/acer.12886
    doi
  17. Nees, F., Witt, S. H., Dinu-Biringer, R., Lourdusamy, A., Tzschoppe, J., Vollstädt-Klein, S., … Flor, H. (2015). BDNF Val66Met and reward-related brain function in adolescents: Role for early alcohol consumption. Alcohol, 49(2). https://doi.org/10.1016/j.alcohol.2014.12.004
    doi
  18. O’Leary-Barrett, M., Pihl, R. O., Artiges, E., Banaschewski, T., Bokde, A. L. W., Büchel, C., … Rogers, J. (2015). Personality, attentional biases towards emotional faces and symptoms of mental disorders in an adolescent sample. PLoS ONE, 10(6). https://doi.org/10.1371/journal.pone.0128271
    doi
  19. Ojelade, S. A., Jia, T., Rodan, A. R., Chenyang, T., Kadrmas, J. L., Cattrell, A., … Rothenfluh, A. (2015). Rsu1 regulates ethanol consumption in Drosophila and humans. Proceedings of the National Academy of Sciences of The United States of America, 112(30). https://doi.org/10.1073/pnas.1417222112
    doi
  20. Ortuño-Sierra, J., Fonseca-Pedrero, E., Aritio-Solana, R., Velasco, A. M., de Luis, E. C., Schumann, G., … Lawrence, C. (2015). New evidence of factor structure and measurement invariance of the SDQ across five European nations. European Child and Adolescent Psychiatry, 24(12). https://doi.org/10.1007/s00787-015-0729-x
    doi
  21. Poline, J.-B., Breeze, J. L., & Frouin, V. (2015). Imaging genetics with fMRI. fMRI: From Nuclear Spins to Brain Functions. https://doi.org/10.1007/978-1-4899-7591-1_24
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  22. Richiardi, J., Altmann, A., Milazzo, A.-C., Chang, C., Chakravarty, M. M., Banaschewski, T., … Greicius, M. D. (2015). Correlated gene expression supports synchronous activity in brain networks. Science, 348(6240). https://doi.org/10.1126/science.1255905
    doi
  23. Ruggeri, B., Nymberg, C., Vuoksimaa, E., Lourdusamy, A., Wong, C. P., Carvalho, F. M., … Schumann, G. (2015). Association of protein phosphatase PPM1G with alcohol use disorder and brain activity during behavioral control in a genome-wide methylation analysis. American Journal of Psychiatry, 172(6). https://doi.org/10.1176/appi.ajp.2014.14030382
    doi
  24. Spechler, P. A., Orr, C. A., Chaarani, B., Kan, K.-J., Mackey, S., Morton, A., … Garavan, H. (2015). Cannabis use in early adolescence: Evidence of amygdala hypersensitivity to signals of threat. Developmental Cognitive Neuroscience, 16. https://doi.org/10.1016/j.dcn.2015.08.007
    doi
  25. Stringaris, A., Belil, P. V.-R., Artiges, E., Lemaitre, H., Gollier-Briant, F., Wolke, S., … Rogers, J. (2015). The brain s response to reward anticipation and depression in adolescence: Dimensionality, specificity, and longitudinal predictions in a community-based sample. American Journal of Psychiatry, 172(12). https://doi.org/10.1176/appi.ajp.2015.14101298
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  26. Tenenhaus, A., Philippe, C., & Frouin, V. (2015). Kernel Generalized Canonical Correlation Analysis. Computational Statistics and Data Analysis, 90. https://doi.org/10.1016/j.csda.2015.04.004
    doi
  27. Toro, R., Poline, J. B., Huguet, G., Loth, E., Frouin, V., Banaschewski, T., … Bourgeron, T. (2015). Genomic architecture of human neuroanatomical diversity. Molecular Psychiatry, 20(8), 1011–1016. https://doi.org/10.1038/mp.2014.99
    doi
  28. Vulser, H., Lemaitre, H., Artiges, E., Miranda, R., Penttilä, J., Struve, M., … Stephens, D. (2015). Subthreshold depression and regional brain volumes in young community adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 54(10). https://doi.org/10.1016/j.jaac.2015.07.006
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Archive later that 2015

  1. Castellanos-Ryan, N., Struve, M., Whelan, R., Banaschewski, T., Barker, G. J., Bokde, A. L. W., … Conrod, P. J. (2014). Neural and cognitive correlates of the common and specific variance across externalizing problems in young adolescence. American Journal of Psychiatry, 171(12). https://doi.org/10.1176/appi.ajp.2014.13111499
    doi
  2. Da Mota, B., Fritsch, V., Varoquaux, G., Banaschewski, T., Barker, G. J., Bokde, A. L. W., … Thirion, B. (2014). Randomized parcellation based inference. NeuroImage, 89. https://doi.org/10.1016/j.neuroimage.2013.11.012
    doi
  3. Da Mota, B., Tudoran, R., Costan, A., Varoquaux, G., Brasche, G., Conrod, P., … Thirion, B. (2014). Machine learning patterns for neuroimaging-genetic studies in the cloud. Frontiers in Neuroinformatics, 8(APR). https://doi.org/10.3389/fninf.2014.00031
    doi
  4. Global Genetic Variations Predict Brain Response to Faces. (2014). PLoS Genetics, 10(8). https://doi.org/10.1371/journal.pgen.1004523
    doi
  5. Khan, W., Giampietro, V., Ginestet, C., Dell’Acqua, F., Bouls, D., Newhouse, S., … Simmons, A. (2014). No differences in hippocampal volume between carriers and non-carriers of the ApoE \epsilon4 and \epsilon2 alleles in young healthy adolescents. Journal of Alzheimer’s Disease, 40(1). https://doi.org/10.3233/JAD-131841
    doi
  6. Nymberg, C., Banaschewski, T., Bokde, A. L., Büchel, C., Conrod, P., Flor, H., … Rogers, J. (2014). DRD2/ANKK1 polymorphism modulates the effect of ventral striatal activation on working memory performance. Neuropsychopharmacology, 39(10). https://doi.org/10.1038/npp.2014.83
    doi
  7. Stringaris, A., Castellanos-Ryan, N., Banaschewski, T., Barker, G. J., Bokde, A. L., Bromberg, U., … Conrod, P. (2014). Dimensions of manic symptoms in youth: Psychosocial impairment and cognitive performance in the IMAGEN sample. Journal of Child Psychology and Psychiatry and Allied Disciplines, 55(12). https://doi.org/10.1111/jcpp.12255
    doi
  8. Tenenhaus, A., Philippe, C., Guillemot, V., Le Cao, K.-A., Grill, J., & Frouin, V. (2014). Variable selection for generalized canonical correlation analysis. Biostatistics, 15(3). https://doi.org/10.1093/biostatistics/kxu001
    doi
  9. Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., … Drevets, W. (2014). The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging and Behavior, 8(2). https://doi.org/10.1007/s11682-013-9269-5
    doi
  10. Whelan, R., Watts, R., Orr, C. A., Althoff, R. R., Artiges, E., Banaschewski, T., … Garavan, H. (2014). Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature, 512(7513). https://doi.org/10.1038/nature13402
    doi
  11. White, T. P., Loth, E., Rubia, K., Krabbendam, L., Whelan, R., Banaschewski, T., … Schumann, G. (2014). Sex differences in COMT polymorphism effects on prefrontal inhibitory control in adolescence. Neuropsychopharmacology, 39(11). https://doi.org/10.1038/npp.2014.107
    doi
  12. Mangin, J.-F., Fillard, P., Cointepas, Y., Le Bihan, D., Frouin, V., & Poupon, C. (2013). Toward global tractography. Neuroimage, 80, 290–296. https://doi.org/10.1016/j.neuroimage.2013.04.009
    doi
  13. Lee, N. C., Krabbendam, L., White, T. P., Meeter, M., Banaschewski, T., Barker, G. J., … Shergill, S. S. (2013). Do you see what i see? Sex differences in the discrimination of facial emotions during adolescence. Emotion, 13(6). https://doi.org/10.1037/a0033560
    doi
  14. Mangin, J.-F., Fillard, P., Cointepas, Y., Le Bihan, D., Frouin, V., & Poupon, C. (2013). Toward global tractography. NeuroImage, 80. https://doi.org/10.1016/j.neuroimage.2013.04.009
    doi
  15. Melka, M. G., Gillis, J., Bernard, M., Abrahamowicz, M., Chakravarty, M. M., Leonard, G. T., … Pausova, Z. (2013). FTO, obesity and the adolescent brain. Human Molecular Genetics, 22(5). https://doi.org/10.1093/hmg/dds504
    doi
  16. Le Floch, T., Guillemot, V., Frouin, V., Pinel, P., Lalanne, C., Trinchera, L., … Duchesnay, T. (2012). Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage, 63(1). https://doi.org/10.1016/j.neuroimage.2012.06.061
    doi
  17. Schwartz, Y., Barbot, A., Thyreau, B., Frouin, V., Varoquaux, G., Siram, A., … Poline, J.-B. (2012). PyXNAT: XNAT in Python. Frontiers in Neuroinformatics, 6(MARCH). https://doi.org/10.3389/fninf.2012.00012
    doi
  18. Thyreau, B., Schwartz, Y., Thirion, B., Frouin, V., Loth, E., Vollstädt-Klein, S., … Poline, J.-B. (2012). Very large fMRI study using the IMAGEN database: Sensitivity-specificity and population effect modeling in relation to the underlying anatomy. NeuroImage, 61(1). https://doi.org/10.1016/j.neuroimage.2012.02.083
    doi
  19. Guillemot, V., Tenenhaus, A., Brusquet, L., & Frouin, V. (2011). Graph constrained discriminant analysis: A new method for the integration of a graph into a classification process. PLoS ONE, 6(10). https://doi.org/10.1371/journal.pone.0026146
    doi
  20. Lebenberg, J., Hérard, A.-S., Dubois, A., Dauguet, J., Frouin, V., Dhenain, M., … Delzescaux, T. (2010). Validation of MRI-based 3D digital atlas registration with histological and autoradiographic volumes: An anatomofunctional transgenic mouse brain imaging study. NeuroImage, 51(3). https://doi.org/10.1016/j.neuroimage.2010.03.014
    doi
  21. Tenenhaus, A., Guillemot, V., Gidrol, X., & Frouin, V. (2010). Gene association networks from microarray data using a regularized estimation of partial correlation based on PLS regression. IEEE/ACM Transactions on Computational Biology And Bioinformatics, 7(2). https://doi.org/10.1109/TCBB.2008.87
    doi
  22. Dauguet, J., Condé, F., Hantraye, P., Frouin, V., & Delzescaux, T. (2009). Generation of a 3D atlas of the nuclear division of the thalamus based on histological sections of primate: Intra- and intersubject atlas-to-MRI warping. IRBM, 30(5-6). https://doi.org/10.1016/j.irbm.2009.10.004
    doi
  23. Murn, J., Mlinaric-Rascan, I., Vaigot, P., Alibert, O., Frouin, V., & Gidrol, X. (2009). A Myc-regulated transcriptional network controls B-cell fate in response to BCR triggering. BMC Genomics, 10. https://doi.org/10.1186/1471-2164-10-323
    doi
  24. Auliac, C., Frouin, V., Gidrol, X., & D’Alché-Buc, F. (2008). Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset. BMC Bioinformatics, 9. https://doi.org/10.1186/1471-2105-9-91
    doi
  25. Dubois, A., Hérard, A.-S., Flandin, G., Duchesnay, E., Besret, L., Frouin, V., … Delzescaux, T. (2008). Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation. NeuroImage, 40(2). https://doi.org/10.1016/j.neuroimage.2007.11.054
    doi
  26. Gidrol, X., Wu, N., Frouin, V., & Debily, M.-A. (2008). Inference of transcriptional regulatory networks. Medecine/Sciences, 24(6-7).
  27. Maroy, R., Boisgard, R., Comtat, C., Frouin, V., Cathier, P., Duchesnay, E., … Tavitian, B. (2008). Segmentation of rodent whole-body dynamic PET images: An unsupervised method based on voxel dynamics. IEEE Transactions on Medical Imaging, 27(3). https://doi.org/10.1109/TMI.2007.905106
    doi
  28. Bragulat, V., Paillère-Martinot, M.-L., Artiges, E., Frouin, V., Poline, J.-B., & Martinot, J.-L. (2007). Dopaminergic function in depressed patients with affective flattening or with impulsivity: [\textlesssup\textgreater18\textless/sup\textgreaterF]Fluoro-l-dopa positron emission tomography study with voxel-based analysis. Psychiatry Research - Neuroimaging, 154(2). https://doi.org/10.1016/j.pscychresns.2006.07.002
    doi
  29. Chateauvieux, S., Ichanté, J.-L., Delorme, B., Frouin, V., Piétu, G., Langonné, A., … Charbord, P. (2007). Molecular profile of mouse stromal mesenchymal stem cells. Physiological Genomics, 29(2). https://doi.org/10.1152/physiolgenomics.00197.2006
    doi
  30. Dauguet, J., Delzescaux, T., Condé, F., Mangin, J.-F., Ayache, N., Hantraye, P., & Frouin, V. (2007). Three-dimensional reconstruction of stained histological slices and 3D non-linear registration with in-vivo MRI for whole baboon brain. Journal of Neuroscience Methods, 164(1). https://doi.org/10.1016/j.jneumeth.2007.04.017
    doi
  31. Dubois, A., Dauguet, J., Herard, A.-S., Besret, L., Duchesnay, E., Frouin, V., … Delzescaux, T. (2007). Automated three-dimensional analysis of histological and autoradiographic rat brain sections: Application to an activation study. Journal of Cerebral Blood Flow and Metabolism, 27(10). https://doi.org/10.1038/sj.jcbfm.9600470
    doi
  32. Gruel, G., Lucchesi, C., Pawlik, A., Frouin, V., Alibert, O., Kortulewski, T., … Tronik-Le Roux, D. (2006). Novel microarray-based method for estimating exposure to ionizing radiation. Radiation Research, 166(5). https://doi.org/10.1667/RR0260.1
    doi
  33. Rochon, C., Frouin, V., Bortoli, S., Giraud-Triboult, K., Duverger, V., Vaigot, P., … Piétu, G. (2006). Comparison of gene expression pattern in SP cell populations from four tissues to define common "stemness functions". Experimental Cell Research, 312(11). https://doi.org/10.1016/j.yexcr.2006.03.010
    doi
  34. Franco, N., Lamartine, J., Frouin, V., Le Minter, P., Petat, C., Leplat, J.-J., … Martin, M. T. (2005). Low-dose exposure to γrays induces specific gene regulations in normal human keratinocytes. Radiation Research, 163(6). https://doi.org/10.1667/RR3391
    doi
  35. Frouin, V., & Gidrol, X. (2005). Analysis of express data resulting from DNA chips. Biofutur, (252).
  36. Régis, J., Mangin, J.-F., Ochiai, T., Frouin, V., Rivière, D., Cachia, A., … Samson, Y. (2005). "Sulcal root" generic model: A hypothesis to overcome the variability of the human cortex folding patterns. Neurologia Medico-Chirurgica, 45(1). https://doi.org/10.2176/nmc.45.1
    doi
  37. Gaura, V., Bachoud-Lévi, A.-C., Ribeiro, M.-J., Nguyen, J.-P., Frouin, V., Baudic, S., … Remy, P. (2004). Striatal neural grafting improves cortical metabolism in Huntington’s disease patients. Brain, 127(1). https://doi.org/10.1093/brain/awh003
    doi
  38. Frouin, V., Comtat, C., Reilhac, A., & Grégoire, M.-C. (2002). Correction of partial-volume effect for PET striatal imaging: Fast implementation and study of robustness. Journal of Nuclear Medicine, 43(12).
  39. Pappata, S., Dehaene, S., Poline, J. B., Gregoire, M. C., Jobert, A., Delforge, J., … Syrota, A. (2002). In Vivo detection of striatal dopamine release during reward: A PET study with [\textlesssup\textgreater11\textless/sup\textgreaterC]raclopride and a single dynamic scan approach. NeuroImage, 16(4). https://doi.org/10.1006/nimg.2002.1121
    doi
  40. Rivière, D., Mangin, J.-F., Papadopoulos-Orfanos, D., Martinez, J.-M., Frouin, V., & Régis, J. (2002). Automatic recognition of cortical sulci of the human brain using a congregation of neural networks. Medical Image Analysis, 6(2). https://doi.org/10.1016/S1361-8415(02)00052-X
    doi
  41. Frouin, F., Merlet, P., Bouchareb, Y., Frouin, V., Dubois-Randé, J.-L., De Cesare, A., … Todd-Pokropek, A. (2001). Validation of myocardial perfusion reserve measurements using regularized factor images of H\textlessinf\textgreater2\textless/inf\textgreater\textlesssup\textgreater15\textless/sup\textgreaterO dynamic PET scans. Journal of Nuclear Medicine, 42(12).
  42. Merlet, P., N’Guyen, C., Elbaz, N., Le Guludec, D., Delforge, J., Frouin, V., & Syrota, A. (2001). Tomographie par Émission de Positons au [18F]-FDG en cardiologie. Medecine Nucleaire, 25(12).
  43. Poupon, C., Mangin, J.-F., Clark, C. A., Frouin, V., Régis, J., Le Bihan, D., & Bloch, I. (2001). Towards inference of human brain connectivity from MR diffusion tensor data. Medical Image Analysis, 5(1). https://doi.org/10.1016/S1361-8415(00)00030-X
    doi
  44. Poyot, T., Condé, F., Grégoire, M.-C., Frouin, V., Coulon, C., Fuseau, C., … Bottlaender, M. (2001). Anatomic and biochemical correlates of the dopamine transporter ligand \textlesssup\textgreater11\textless/sup\textgreaterC-PE2I in normal and parkinsonian primates: Comparison with 6-[\textlesssup\textgreater18\textless/sup\textgreaterF]Fluoro-L-Dopa. Journal of Cerebral Blood Flow and Metabolism, 21(7).
  45. Coulon, O., Mangin, J.-F., Poline, J.-B., Zilbovicius, M., Roumenov, D., Samson, Y., … Bloch, I. (2000). Structural group analysis of functional activation maps. NeuroImage, 11(6 I). https://doi.org/10.1006/nimg.2000.0580
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  46. Poupon, C., Clark, C. A., Frouin, V., Régis, J., Bloch, I., Le Bihan, D., & Mangin, J.-F. (2000). Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. NeuroImage, 12(2). https://doi.org/10.1006/nimg.2000.0607
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  47. Riviere, D., Papadopoulos, D., Poupon, C., Poupon, F., Coulon, O., Poline, J.-B., … Mangin, J.-F. (2000). A structural browser for human brain mapping. NeuroImage, 11(5 PART II).
  48. Foehrenbach, H., De Dreuille, O., Mangin, J. F., Levêque, C., Delaye, F., Lathuillière, J. M., … Gaillard, J. F. (1999). Development of an automatic multimodality registration application for clinical brain imaging. Medecine Nucleaire, 23(4).
  49. Krainik, A., Sahel, M., Lehéricy, S., Duffau, H., Cornu, P., Capelle, L., … Marsault, C. (1999). Occurrence of motor deficit following surgical resection of the mesial frontal lobe: FMRI study of the role of the SMA-proper. NeuroImage, 9(6 PART II).
  50. Lehéricy, S., Gérardin, E., Lobel, E., Van De Moortele, P.-F., Frouin, V., Agid, Y., … Marsault, C. (1999). Activation of the striatum during simple movements: Somatotopy at 1.5 T. NeuroImage, 9(6 PART II).
  51. Coulon, O., Bloch, I., Frouin, V., Poline, J.-B., & Mangin, J.-F. (1998). Group analysis of individual activation maps : Comparison of 3D scale-space primal sketches using a Markovian random field. NeuroImage, 7(4 PART II).
  52. Crozier, S., Mangin, J.-F., Lehéricy, S., Régis, J., Frouin, V., Marsault, C., … Samson, Y. (1998). Correlation between vascular lesions and sulco-gyral anatomy. NeuroImage, 7(4 PART II).
  53. Lehéricy, S., Van De Moortele, P.-F., Lobel, E., Paradis, A.-L., Vidailhet, M., Frouin, V., … Le Bihan, D. (1998). Somatotopical organization of striatal activation during finger and toe movement: A 3-T functional magnetic resonance imaging study. Annals of Neurology, 44(3). https://doi.org/10.1002/ana.410440319
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  54. Mangin, J.-F., Régis, J., Poline, J.-B., Rivière, D., Poupon, C., Poupon, F., … Frouin, V. (1998). Place de l’anatomie dans la cartographie fonctionnelle du cerveau. Annales De l’Institut Pasteur/Actualites, 9(3).
  55. Mangin, J.-F., Régis, J., Poupon, C., Pachot-Clouart, M., Belin, P., LeBihan, D., & Frouin, V. (1998). The duality between sulcal roots and U-fiber bundles investigated via tensor diffusion imaging. NeuroImage, 7(4 PART II).
  56. Poline, J.-B., Van De Moortele, P.-F., Paradis, A.-L., Frouin, V., & LeBihan, D. (1998). Analyses of model responses and residuals in an Event related functional MRI experiment using Multivariate techniques. NeuroImage, 7(4 PART II).
  57. Poupon, C., Mangin, J.-F., Pachot-Clouart, M., Poupon, F., Régis, J., Frouin, V., … LeBihan, D. (1998). Tracking fiber bundles in diffusion tensor images. NeuroImage, 7(4 PART II).
  58. Sastre-Janer, F. A., Regis, J., Belin, P., Mangin, J.-F., Dormont, D., Masure, M.-C., … Samson, Y. (1998). Three-dimensional reconstruction of the human central sulcus reveals a morphological correlate of the hand area. Cerebral Cortex, 8(7).
  59. Trébossen, R., Bendriem, B., Ribeiro, M.-J., Fontaine, A., Frouin, V., & Remy, P. (1998). Validation of the three-dimensional acquisition mode in positron emission tomography for the quantitation of [\textlesssup\textgreater18\textless/sup\textgreaterF]fluoro-DOPA uptake in the human striata. Journal of Cerebral Blood Flow and Metabolism, 18(9).
  60. Coulon, O., Bloch, I., Frouin, V., & Mangin, J.-F. (1997). The structure of PET activation maps. NeuroImage, 5(4 PART II).
  61. Frouin, V., Mességué, E., & Mangin, J.-F. (1997). Assessment of two fMRI motion correction algorithms. NeuroImage, 5(4 PART II).
  62. Leroy-Willig, A., Willig, T. N., Henry-Feugeas, M. C., Frouin, V., Marinier, E., Boulier, A., … Syrota, A. (1997). Body composition determined with MR in patients with Duchenne muscular dystrophy, spinal muscular atrophy, and normal subjects. Magnetic Resonance Imaging, 15(7). https://doi.org/10.1016/S0730-725X(97)00046-5
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  63. Paradis, A.-L., Mangin, J.-F., Cornilleau-Pérès, V., Bloch, I., Frouin, V., & Le Bihan, D. (1997). Detection of periodic temporal responses in fMRI. NeuroImage, 5(4 PART II).
  64. Mangin, J.-F., Frouin, V., Régis, J., Bloch, I., Belin, P., & Samson, Y. (1996). Towards better management of cortical anatomy in multi-modal multi-individual brain studies. Physica Medica, 12(SUPPL. 1).
  65. Mangin, J.-F., Frouin, V., Bloch, I., Régis, J., & López-Krahe, J. (1995). From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations. Journal of Mathematical Imaging and Vision, 5(4). https://doi.org/10.1007/BF01250286
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  66. Millet, P., Delforge, J., Mauguiere, F., Pappata, S., Cinotti, L., Frouin, V., … Syrota, A. (1995). Parameter and index images of benzodiazepine receptor concentration in the brain. Journal of Nuclear Medicine, 36(8).
  67. Regis, J., Mangin, J. F., Frouin, V., Sastre, F., Peragut, J. C., & Samson, Y. (1995). Genetic model for the localization of the cerebral cortex and preoperative multimodal integration in epilepsy surgery. Stereotactic and Functional Neurosurgery, 65(1-4). https://doi.org/10.1159/000098900
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  68. Remy, P., Samson, Y., Hantraye, P., Fontaine, A., Defer, G., Mangin, J. F., … Cesaro, P. (1995). Clinical correlates of {\textlesssup\textgreater18\textless/sup\textgreaterF}fluorodopa uptake in five grafted Parkinsonian patients. Annals of Neurology, 38(4). https://doi.org/10.1002/ana.410380406
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  69. Semah, F., Baulac, M., Hasboun, D., Frouin, V., Mangin, J. F., Papageorgiou, S., … Samson, Y. (1995). Is Interictal Temporal Hypometabolism Related to Mesial Temporal Sclerosis? A Positron Emission Tomography/Magnetic Resonance Imaging Confrontation. Epilepsia, 36(5). https://doi.org/10.1111/j.1528-1157.1995.tb00485.x
    doi
  70. Mangin, J.-F., Frouin, V., Bloch, I., Bendriem, B., & Lopez-Krahe, J. (1994). Fast nonsupervised 3D registration of PET and MR images of the brain. Journal of Cerebral Blood Flow and Metabolism, 14(5). https://doi.org/10.1038/jcbfm.1994.96
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