Ferah Kherif

Publications | Mémoires et thèses

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85 publications

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The Inequality of Neural Destiny: Signatures of Life course Socioeconomic Conditions in Brain Myelination and Grey Matter Volume
Loued-Khenissi Leyla, Trofimova Olga, Vollenweider Peter, Marques-Vidal Pedro, Preisig Martin, Lutti Antoine, Kliegel Matthias, Sandi Carmen, Kherif Ferhat, Stringhini Silvia et al..
 
The Neurobiology of Life Course Socioeconomic Conditions and Associated Cognitive Performance in Middle to Late Adulthood.
Schrempft S., Trofimova O., Künzi M., Ramponi C., Lutti A., Kherif F., Latypova A., Vollenweider P., Marques-Vidal P., Preisig M. et al., 2024/04/24. The Journal of neuroscience, 44 (17). Peer-reviewed.
Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes.
Paunova R., Ramponi C., Kandilarova S., Todeva-Radneva A., Latypova A., Stoyanov D., Kherif F., 2023/10. Frontiers in psychiatry, 14 p. 1272933. Peer-reviewed.
 
Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans.
Corbin N., Oliveira R., Raynaud Q., Di Domenicantonio G., Draganski B., Kherif F., Callaghan M.F., Lutti A., 2023/10/01. Journal of neuroscience methods, 398 p. 109950. Peer-reviewed.
Parkinson's disease may disrupt overlapping subthalamic nucleus and pallidal motor networks.
Santos A.N., Kherif F., Melie-Garcia L., Lutti A., Chiappini A., Rauschenbach L., Dinger T.F., Riess C., El Rahal A., Darkwah Oppong M. et al., 2023/05. NeuroImage. Clinical, 38 p. 103432. Peer-reviewed.
Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain.
Trofimova O., Latypova A., DiDomenicantonio G., Lutti A., de Lange A.G., Kliegel M., Stringhini S., Marques-Vidal P., Vaucher J., Vollenweider P. et al., 2023/04/10. Communications biology, 6 (1) p. 392. Peer-reviewed.
 
Disrupted structural brain networks across psychiatric disorders determined using multivariate graph analyses
Paunova R. K., Stoyanov D., Ramponi C., Latypova A., Kherif F., 2023/03., 31st European Congress of Psychiatry pp. S295-S296 dans European Psychiatry.
Abnormal brain iron accumulation in obstructive sleep apnea: A quantitative MRI study in the HypnoLaus cohort.
Marchi N.A., Pizzarotti B., Solelhac G., Berger M., Haba-Rubio J., Preisig M., Vollenweider P., Marques-Vidal P., Lutti A., Kherif F. et al., 2022/12. Journal of sleep research, 31 (6) pp. e13698. Peer-reviewed.
CYP2C19 expression modulates affective functioning and hippocampal subiculum volume-a large single-center community-dwelling cohort study.
Grosu C., Trofimova O., Gholam-Rezaee M., Strippoli M.F., Kherif F., Lutti A., Preisig M., Draganski B., Eap C.B., 2022/08/05. Translational psychiatry, 12 (1) p. 316. Peer-reviewed.
Signatures of life course socioeconomic conditions in brain anatomy.
Loued-Khenissi L., Trofimova O., Vollenweider P., Marques-Vidal P., Preisig M., Lutti A., Kliegel M., Sandi C., Kherif F., Stringhini S. et al., 2022/06/01. Human brain mapping, 43 (8) pp. 2582-2606. Peer-reviewed.
Clinical phenotype modulates brain's myelin and iron content in temporal lobe epilepsy.
Roggenhofer E., Toumpouli E., Seeck M., Wiest R., Lutti A., Kherif F., Novy J., Rossetti A.O., Draganski B., 2022/04. Brain structure & function, 227 (3) pp. 901-911. Peer-reviewed.
Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression.
Paunova R., Kandilarova S., Todeva-Radneva A., Latypova A., Kherif F., Stoyanov D., 2022/02/12. Diagnostics, 12 (2) p. 469. Peer-reviewed.
 
Machine Learning for Health: Algorithm Auditing & Quality Control.
Oala L., Murchison A.G., Balachandran P., Choudhary S., Fehr J., Leite A.W., Goldschmidt P.G., Johner C., Schörverth EDM, Nakasi R. et al., 2021/11/02. Journal of medical systems, 45 (12) p. 105. Peer-reviewed.
Brain tissue properties link cardio-vascular risk factors, mood and cognitive performance in the CoLaus|PsyCoLaus epidemiological cohort.
Trofimova O., Loued-Khenissi L., DiDomenicantonio G., Lutti A., Kliegel M., Stringhini S., Marques-Vidal P., Vollenweider P., Waeber G., Preisig M. et al., 2021/06. Neurobiology of aging, 102 pp. 50-63. Peer-reviewed.
Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy.
Gyger L., Ramponi C., Mall J.F., Swierkosz-Lenart K., Stoyanov D., Lutti A., von Gunten A., Kherif F., Draganski B., 2021/05/15. NeuroImage, 232 p. 117895. Peer-reviewed.
Mapping grip force to motor networks.
Weitnauer L., Frisch S., Melie-Garcia L., Preisig M., Schroeter M.L., Sajfutdinow I., Kherif F., Draganski B., 2021/04/01. NeuroImage, 229 p. 117735. Peer-reviewed.
Gradient of electro-convulsive therapy's antidepressant effects along the longitudinal hippocampal axis.
Gyger L., Regen F., Ramponi C., Marquis R., Mall J.F., Swierkosz-Lenart K., von Gunten A., Toni N., Kherif F., Heuser I. et al., 2021/03/29. Translational psychiatry, 11 (1) p. 191. Peer-reviewed.
 
Brain plasticity dynamics during tactile Braille learning in sighted subjects: Multi-contrast MRI approach.
Matuszewski J., Kossowski B., Bola Ł., Banaszkiewicz A., Paplińska M., Gyger L., Kherif F., Szwed M., Frackowiak R.S., Jednoróg K. et al., 2021/02/15. NeuroImage, 227 p. 117613. Peer-reviewed.
Apolipoprotein E4 effects on topological brain network organization in mild cognitive impairment.
Sanabria-Diaz G., Melie-Garcia L., Draganski B., Demonet J.F., Kherif F., 2021/01/12. Scientific reports, 11 (1) p. 845. Peer-reviewed.
Apolipoprotein E allele 4 effects on Single-Subject Gray Matter Networks in Mild Cognitive Impairment.
Sanabria-Diaz G., Demonet J.F., Rodriguez-Herreros B., Draganski B., Kherif F., Melie-Garcia L., 2021. NeuroImage. Clinical, 32 p. 102799. Peer-reviewed.
Multivariate Analysis of Structural and Functional Neuroimaging Can Inform Psychiatric Differential Diagnosis.
Stoyanov D., Kandilarova S., Aryutova K., Paunova R., Todeva-Radneva A., Latypova A., Kherif F., 2020/12/24. Diagnostics, 11 (1) pp. E19. Peer-reviewed.
ML4H Auditing: From Paper to Practice
Oala Luis, Gilli Luca, Balachandran Pradeep, Werneck Leite Alixandro, Calderon-Ramirez Saul, Xie Li Danny, Nobis Gabriel, Alejandro Muñoz Alvarado Erick, Jaramillo-Gutierrez Giovanna, Matek Christian et al., 2020/12/11. Proceedings of the Machine Learning for Health NeurIPS Workshop.
Explainable deep learning models for dementia identification via magnetic resonance imaging : Developing topics
Gallay Charles, Draganski Bogdan, Kherif Ferath, 2020/12. Alzheimer's & Dementia, 16 (S5).
 
Greater than the sum: Federated analyses in Alzheimer's disease using the Human Brain Project Medical Informatics Platform (MIP) : Neuroimaging / New imaging methods
Sokolov Arseny A., Phenix Thierry, Chaptinel Jérôme, Leroy Melanie, Kherif Ferath, Redolfi Alberto, Pasquier Florence, Démonet Jean-François, Ryvlin Philippe, 2020/12. Alzheimer's & Dementia, 16 (S4).
Remodeling of brain morphology in temporal lobe epilepsy.
Roggenhofer E., Muller S., Santarnecchi E., Melie-Garcia L., Wiest R., Kherif F., Draganski B., 2020/11. Brain and behavior, 10 (11) pp. e01825. Peer-reviewed.
Functional MRI in Depression—Multivariate Analysis of Emotional Task
Kandilarova Sevdalina, Stoyanov Drozdstoy, Stoeva Magdalena, Latypova Adeliya, Kherif Ferath, 2020/08. Journal of Medical and Biological Engineering, 40 (4) pp. 535-544.
 
Mean Oxygen Saturation during Sleep Is Related to Specific Brain Atrophy Pattern.
Marchi N.A., Ramponi C., Hirotsu C., Haba-Rubio J., Lutti A., Preisig M., Marques-Vidal P., Vollenweider P., Kherif F., Heinzer R. et al., 2020/06. Annals of neurology, 87 (6) pp. 921-930. Peer-reviewed.
 
Converging patterns of aging-associated brain volume loss and tissue microstructure differences.
Taubert M., Roggenhofer E., Melie-Garcia L., Muller S., Lehmann N., Preisig M., Vollenweider P., Marques-Vidal P., Lutti A., Kherif F. et al., 2020/04. Neurobiology of aging, 88 pp. 108-118. Peer-reviewed.
Towards a European health research and innovation cloud (HRIC).
Aarestrup F.M., Albeyatti A., Armitage W.J., Auffray C., Augello L., Balling R., Benhabiles N., Bertolini G., Bjaalie J.G., Black M. et al., 2020/02/19. Genome medicine, 12 (1) p. 18. Peer-reviewed.
 
Interactions between Personality, Depression, Anxiety and Cognition to Understand Early Stage of Alzheimer's Disease.
Zufferey V., Gunten A.V., Kherif F., 2020. Current topics in medicinal chemistry, 20 (9) pp. 782-791. Peer-reviewed.
 
Neuro-Clinical Signatures of Language Impairments after Acute Stroke: A VBQ Analysis of Quantitative Native CT Scans.
Muller S., Dauyey K., Ruef A., Lorio S., Eskandari A., Schneider L., Beaud V., Roggenhofer E., Draganski B., Michel P. et al., 2020. Current topics in medicinal chemistry, 20 (9) pp. 792-799. Peer-reviewed.
 
Neuro-Clinical Signatures of Language Impairments: A Theoretical Framework for Function-to-structure Mapping in Clinics.
Kherif F., Muller S., 2020. Current topics in medicinal chemistry, 20 (9) pp. 800-811. Peer-reviewed.
 
Principal component analysis
Kherif Ferath, Latypova Adeliya, 2020. pp. 209-225 dans Machine Learning, Elsevier.
 
Trajectories of brain remodeling in temporal lobe epilepsy.
Roggenhofer E., Santarnecchi E., Muller S., Kherif F., Wiest R., Seeck M., Draganski B., 2019/12. Journal of neurology, 266 (12) pp. 3150-3159. Peer-reviewed.
 
Dopaminergic modulation of motor network compensatory mechanisms in Parkinson's disease.
Jastrzębowska M.A., Marquis R., Melie-García L., Lutti A., Kherif F., Herzog M.H., Draganski B., 2019/10/15. Human brain mapping, 40 (15) pp. 4397-4416. Peer-reviewed.
 
A nation-wide initiative for brain imaging and clinical phenotype data federation in Swiss university memory centres.
Draganski B., Kherif F., Damian D., Demonet J.F., MemoNet consortium, 2019/08. Current opinion in neurology, 32 (4) pp. 557-563. Peer-reviewed.
Example dataset for the hMRI toolbox.
Callaghan M.F., Lutti A., Ashburner J., Balteau E., Corbin N., Draganski B., Helms G., Kherif F., Leutritz T., Mohammadi S. et al., 2019/08. Data in brief, 25 p. 104132. Peer-reviewed.
hMRI - A toolbox for quantitative MRI in neuroscience and clinical research.
Tabelow K., Balteau E., Ashburner J., Callaghan M.F., Draganski B., Helms G., Kherif F., Leutritz T., Lutti A., Phillips C. et al., 2019/07/01. NeuroImage, 194 pp. 191-210. Peer-reviewed.
 
IC-P-045: MEDICAL INFORMATICS PLATFORM (MIP): A VALIDATION STUDY ACROSS CLINICAL ITALIAN COHORTS
Redolfi Alberto, De Francesco Silvia, Palesi Fulvia, Kherif Ferath, Muscio Cristina, Nigri Anna, Bottini Gabriella, Frisoni Giovanni B., Tagliavini Fabrizio, Bruzzone Maria Grazia et al., 2019/07. Alzheimer's & Dementia, 15 pp. P48-P48.
 
P1-333: MEDICAL INFORMATICS PLATFORM (MIP): A VALIDATION STUDY ACROSS CLINICAL ITALIAN COHORTS
Redolfi Alberto, De Francesco Silvia, Palesi Fulvia, Kherif Ferath, Muscio Cristina, Nigri Anna, Bottini Gabriella, Frisoni Giovanni B., Tagliavini Fabrizio, Bruzzone Maria Grazia et al., 2019/07. Alzheimer's & Dementia, 15 pp. P373-P373.
 
Evolution of white matter tract microstructure across the life span.
Slater D.A., Melie-Garcia L., Preisig M., Kherif F., Lutti A., Draganski B., 2019/05. Human brain mapping, 40 (7) pp. 2252-2268. Peer-reviewed.
Association of a Schizophrenia-Risk Nonsynonymous Variant With Putamen Volume in Adolescents: A Voxelwise and Genome-Wide Association Study.
Luo Q., Chen Q., Wang W., Desrivières S., Quinlan E.B., Jia T., Macare C., Robert G.H., Cui J., Guedj M. et al., 2019/04/01. JAMA psychiatry, 76 (4) pp. 435-445. Peer-reviewed.
Cross-Validation of Functional MRI and Paranoid-Depressive Scale: Results From Multivariate Analysis.
Stoyanov D., Kandilarova S., Paunova R., Barranco Garcia J., Latypova A., Kherif F., 2019. Frontiers in psychiatry, 10 p. 869. Peer-reviewed.
Quantifying the Effects of 16p11.2 Copy Number Variants on Brain Structure: A Multisite Genetic-First Study.
Martin-Brevet S., Rodríguez-Herreros B., Nielsen J.A., Moreau C., Modenato C., Maillard A.M., Pain A., Richetin S., Jønch A.E., Qureshi A.Y. et al., 2018/08/15. Biological psychiatry, 84 (4) pp. 253-264. Peer-reviewed.
Networks of myelin covariance.
Melie-Garcia L., Slater D., Ruef A., Sanabria-Diaz G., Preisig M., Kherif F., Draganski B., Lutti A., 2018/04. Human brain mapping, 39 (4) pp. 1532-1554. Peer-reviewed.
Multiple Linear Regression: Bayesian Inference for Distributed and Big Data in the Medical Informatics Platform of the Human Brain Project
Melie-Garcia Lester, Draganski Bogdan, Ashburner John, Kherif Ferath, 2018..
Neurobiological origin of spurious brain morphological changes: A quantitative MRI study.
Lorio S., Kherif F., Ruef A., Melie-Garcia L., Frackowiak R., Ashburner J., Helms G., Lutti A., Draganski B., 2016/05. Human brain mapping, 37 (5) pp. 1801-1815. Peer-reviewed.
New tissue priors for improved automated classification of subcortical brain structures on MRI.
Lorio S., Fresard S., Adaszewski S., Kherif F., Chowdhury R., Frackowiak R.S., Ashburner J., Helms G., Weiskopf N., Lutti A. et al., 2016/04/15. NeuroImage, 130 pp. 157-166. Peer-reviewed.
The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity.
Maillard A.M., Ruef A., Pizzagalli F., Migliavacca E., Hippolyte L., Adaszewski S., Dukart J., Ferrari C., Conus P., Männik K. et al., 2015/02. Molecular psychiatry, 20 (1) pp. 140-147. Peer-reviewed.
Identification of the regions involved in phonological assembly using a novel paradigm.
Twomey T., Waters D., Price C.J., Kherif F., Woll B., MacSweeney M., 2015. Brain and Language, 150 pp. 45-53. Peer-reviewed.
 
In-vivo brain neuroimaging provides a gateway for integrating biological and clinical biomarkers of Alzheimer's disease.
Cui J., Zufferey V., Kherif F., 2015. Current Opinion In Neurology, 28 (4) pp. 351-357. Peer-reviewed.
Brain tissue properties differentiate between motor and limbic basal ganglia circuits.
Accolla E.A., Dukart J., Helms G., Weiskopf N., Kherif F., Lutti A., Chowdhury R., Hetzer S., Haynes J.D., Kühn A.A. et al., 2014. Human Brain Mapping, 35 (10) pp. 5083-92. Peer-reviewed.
Computational anatomy for studying use-dependant brain plasticity.
Draganski B., Kherif F., Lutti A., 2014. Frontiers in Human Neuroscience, 8 p. 380. Peer-reviewed.
Disentangling in vivo the effects of iron content and atrophy on the ageing human brain.
Lorio S., Lutti A., Kherif F., Ruef A., Dukart J., Chowdhury R., Frackowiak R.S., Ashburner J., Helms G., Weiskopf N. et al., 2014. Neuroimage, 103 pp. 280-289. Peer-reviewed.
 
Electroconvulsive therapy-induced brain plasticity determines therapeutic outcome in mood disorders.
Dukart J., Regen F., Kherif F., Colla M., Bajbouj M., Heuser I., Frackowiak R.S., Draganski B., 2014. Proceedings of the National Academy of Sciences of the United States of America, 111 (3) pp. 1156-1161.
 
Influence of magnetic field strength and image registration strategy on voxel-based morphometry in a study of Alzheimer's disease.
Marchewka A., Kherif F., Krueger G., Grabowska A., Frackowiak R., Draganski B., Alzheimer's Disease Neuroimaging Initiative, 2014. Human Brain Mapping, 35 (5) pp. 1865-1874. Peer-reviewed.
Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease.
Dukart J., Kherif F., Mueller K., Adaszewski S., Schroeter M.L., Frackowiak R.S., Draganski B., Alzheimer's Disease Neuroimaging Initiative, 2013. PLOS Computational Biology, 9 (4) pp. e1002987.
 
How early can we predict Alzheimer's disease using computational anatomy?
Adaszewski S., Dukart J., Kherif F., Frackowiak R., Draganski B., Alzheimer's Disease Neuroimaging Initiative, 2013. Neurobiology of Aging, 34 (12) pp. 2815-2826. Peer-reviewed.
 
Imaging Human Brain Structure and Function
Michel C., Golestani N., Hagmann P., Vuilleumier P., Schwarz S., Draganski B., Kherif F., Frackowiak R., Murray M., De Lucia M. et al., 2013. 82.
 
Impact of brain aging and neurodegeneration on cognition: evidence from MRI.
Draganski B., Lutti A., Kherif F., 2013. Current Opinion in Neurology, 26 (6) pp. 640-645. Peer-reviewed.
 
In vivo assessment of use-dependent brain plasticity--beyond the "one trick pony" imaging strategy.
Draganski B., Kherif F., 2013. Neuroimage, 73 pp. 255-9; discussion 265-7.
Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease.
Dukart J., Mueller K., Villringer A., Kherif F., Draganski B., Frackowiak R., Schroeter M.L., Alzheimer's Disease Neuroimaging Initiative, 2013. Neuroimage : Clinical, 3 pp. 84-94.
Automatic top-down processing explains common left occipito-temporal responses to visual words and objects.
Kherif F., Josse G., Price C.J., 2011/01. Cerebral cortex, 21 (1) pp. 103-114. Peer-reviewed.
 
Does Semantic Context Benefit Speech Understanding through "Top-Down" Processes? Evidence from Time-resolved Sparse fMRI.
Davis M.H., Ford M.A., Kherif F., Johnsrude I.S., 2011. Journal of Cognitive Neuroscience, 23 (12) pp. 3914-3932.
Regional and hemispheric determinants of language laterality: Implications for preoperative fMRI.
Seghier M.L., Kherif F., Josse G., Price C.J., 2011. Human Brain Mapping, 32 (10) pp. 1602-1614.
Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ).
Draganski B., Ashburner J., Hutton C., Kherif F., Frackowiak R.S., Helms G., Weiskopf N., 2011. Neuroimage, 55 (4) pp. 1423-1434. Peer-reviewed.
 
Voluntary Explicit versus Involuntary Conceptual Memory Are Associated with Dissociable fMRI Responses in Hippocampus, Amygdala, and Parietal Cortex for Emotional and Neutral Word Pairs.
Ramponi C., Barnard P.J., Kherif F., Henson R.N., 2011. Journal of Cognitive Neuroscience, 23 (8) pp. 1935-1951.
 
The role of the left head of caudate in suppressing irrelevant words.
Ali N., Green D.W., Kherif F., Devlin J.T., Price C.J., 2010. Journal of Cognitive Neuroscience, 22 (10) pp. 2369-2386.
 
Distributed cell assemblies for general lexical and category-specific semantic processing as revealed by fMRI cluster analysis.
Pulvermüller F., Kherif F., Hauk O., Mohr B., Nimmo-Smith I., 2009. Human Brain Mapping, 30 (12) pp. 3837-3850.
 
Predicting language lateralization from gray matter.
Josse G., Kherif F., Flandin G., Seghier M.L., Price C.J., 2009. Journal of Neuroscience, 29 (43) pp. 13516-13523.
 
The main sources of intersubject variability in neuronal activation for reading aloud.
Kherif F., Josse G., Seghier M.L., Price C.J., 2009. Journal of Cognitive Neuroscience, 21 (4) pp. 654-668.
 
Evidence for segregated and integrative connectivity patterns in the human Basal Ganglia.
Draganski B., Kherif F., Klöppel S., Cook P.A., Alexander D.C., Parker G.J., Deichmann R., Ashburner J., Frackowiak R.S., 2008. Journal of Neuroscience, 28 (28) pp. 7143-7152.
 
Explaining function with anatomy: language lateralization and corpus callosum size.
Josse G., Seghier M.L., Kherif F., Price C.J., 2008. Journal of Neuroscience, 28 (52) pp. 14132-14139.
 
Imagery or meaning? Evidence for a semantic origin of category-specific brain activity in metabolic imaging.
Hauk O., Davis M.H., Kherif F., Pulvermüller F., 2008. European Journal of Neuroscience, 27 (7) pp. 1856-1866.
 
Contrasts and Classical Inference
Poline J., Kherif F., Pallier C., Penny W., 2007. pp. 126-139 dans Statistical Parametric Mapping, Elsevier.
 
Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls.
Kawasaki Y., Suzuki M., Kherif F., Takahashi T., Zhou S.Y., Nakamura K., Matsui M., Sumiyoshi T., Seto H., Kurachi M., 2007. Neuroimage, 34 (1) pp. 235-242.
 
Automatized clustering and functional geometry of human parietofrontal networks for language, space, and number.
Simon O., Kherif F., Flandin G., Poline J.B., Rivière D., Mangin J.F., Le Bihan D., Dehaene S., 2004. Neuroimage, 23 (3) pp. 1192-1202.
 
Retinotopic organization of visual mental images as revealed by functional magnetic resonance imaging.
Klein I., Dubois J., Mangin J.F., Kherif F., Flandin G., Poline J.B., Denis M., Kosslyn S.M., Le Bihan D., 2004. Brain Research. Cognitive Brain Research, 22 (1) pp. 26-31.
 
A generic framework for the parcellation of the cortical surface into gyri using geodesic Voronoï diagrams.
Cachia A., Mangin J.F., Rivière D., Papadopoulos-Orfanos D., Kherif F., Bloch I., Régis J., 2003. Medical Image Analysis, 7 (4) pp. 403-416.
 
A primal sketch of the cortex mean curvature: a morphogenesis based approach to study the variability of the folding patterns.
Cachia A., Mangin J.F., Rivière D., Kherif F., Boddaert N., Andrade A., Papadopoulos-Orfanos D., Poline J.B., Bloch I., Zilbovicius M. et al., 2003. IEEE Transactions On Medical Imaging, 22 (6) pp. 754-765.
 
Group analysis in functional neuroimaging: selecting subjects using similarity measures.
Kherif F., Poline J.B., Mériaux S., Benali H., Flandin G., Brett M., 2003. Neuroimage, 20 (4) pp. 2197-2208.
 
Improved detection sensitivity in functional MRI data using a brain parcelling technique
Flandin G., Kherif F., Pennec X., Malandain G., Ayache N., Poline J.B., 2002. pp. 467-474 dans Dohi T., Kikinis R. (eds.) MICCAI 2002, 5th International Conference on Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science.
 
Multivariate model specification for fMRI data.
Kherif F., Poline J.B., Flandin G., Benali H., Simon O., Dehaene S., Worsley K.J., 2002. Neuroimage, 16 (4) pp. 1068-1083.
Detection of fMRI activation using cortical surface mapping.
Andrade A., Kherif F., Mangin J.F., Worsley K.J., Paradis A.L., Simon O., Dehaene S., Le Bihan D., Poline J.B., 2001. Human Brain Mapping, 12 (2) pp. 79-93.
 
Temporal sorting of neural components underlying phonological processing.
Thierry G., Boulanouar K., Kherif F., Ranjeva J.P., Démonet J.F., 1999. Neuroreport, 10 (12) pp. 2599-2603.
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