You are here : Home > Research Entities > NeuroSpin

NeuroSpin

 

 

​​FRENCH

 

Published on 28 June 2018

​​NeuroSpin, directed by Stanislas Dehaene, is a research centre for the innovation of brain imaging. Activities carried out includes biomedical imaging and diagnostic and therapeutic innovation.

At NeuroSpin Department, physicists, mathematicians and neuroscientists join forces to jointly develop tools and models that will enable a better understanding normal and pathological brain function, before or after treatment. Focused on neuroimaging, research concerns several topics :

  • ​Technological and methodological development (acquisition and processing of data),
  • Cognitive neuroscience,
  • Preclinical and clinical neuroscience.

NeuroSpin includes 5 Research Entities : MRI and Spectroscopy Unit (UNIRS) ; Analysis and Information Processing Unit (UNATI), Cognitive Neuroimaging Unit (UNICOG), a Mixed Research Unity (U992), belonging to CEA, Paris-Sud University and Inserm ; Translational and Applicative Neuroimaging Research Unit (UNIACT), belonging to UMR 1129 ; and Neurofunctional Imaging Group (GIN) in Bordeaux who is integrated in the Institute of Neurodegenerative Diseases (UMR 5296, belonging to CNRS and Bordeaux University).

(click on image to enlarge)

To carry out their activities, researchers of NeuroSpin Department have access to platforms, certified IBiSA and part of the National Infrastructures in Biology and Health France Life Imaging (FLI) et NeurATRIS :

  • Clinical MRI 3T, 7T and soon 11,7T,
  • Preclinical MRI for small animals 7T, 11,7T et 17T,
  • EEG et MEG,
  • 3-photon imaging (soon).

These instruments are open to the national or international scientific community, to academics or industrials.

Do you want to submit your project to NeuroSpin ?


 
 

 

  
A validation dataset for Macaque brain MRI segmentation
Balbastre Y., Riviere D., Souedet N., Fischer C., Herard A. S., Williams S., Vandenberghe M. E., Flament J., Aron-Badin R., Hantraye P., Mangin J. F. and Delzescaux T.
Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T
Beaujoin J., Palomero-Gallagher N., Boumezbeur F., Axer M., Bernard J., Poupon F., Schmitz D., Mangin J. F. and Poupon C.
Machine Learning for Precision Psychiatry: Opportunities and Challenges
Bzdok D. and Meyer-Lindenberg A.
Machine learning: supervised methods
Bzdok D., Krzywinski M. and Altman N.
How interindividual differences in brain anatomy shape reading accuracy
Cachia A., Roell M., Mangin J. F., Sun Z. Y., Jobert A., Braga L., Houde O., Dehaene S. and Borst G.
Whole-Body Diffusion-weighted MR Imaging of Iron Deposits in Hodgkin, Follicular, and Diffuse Large B-Cell Lymphoma
Cottereau A. S., Mule S., Lin C., Belhadj K., Vignaud A., Copie-Bergman C., Boyez A., Zerbib P., Tacher V., Scherman E., Haioun C., Luciani A., Itti E. and Rahmouni A.
Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity
de Pierrefeu A., Fovet T., Hadj-Selem F., Lofstedt T., Ciuciu P., Lefebvre S., Thomas P., Lopes R., Jardri R. and Duchesnay E.
Conscious machines: Robot rights Response
Dehaene S., Lau H. and Kouider S.
The emergence of the visual word form: Longitudinal evolution of category-specific ventral visual areas during reading acquisition
Dehaene-Lambertz G., Monzalvo K. and Dehaene S.
Neutrophil hyperactivation correlates with Alzheimer's disease progression
Dong Y., Lagarde J., Xicota L., Corne H., Chantran Y., Chaigneau T., Crestani B., Bottlaender M., Potier M. C., Aucouturier P., Dorothee G., Sarazin M. and Elbim C.
Cognitive and neuroimaging features and brain beta-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study
Dubois B., Epelbaum S., Nyasse F., Bakardjian H., Gagliardi G., Uspenskaya O., Houot M., Lista S., Cacciamani F., Potier M. C., Bertrand A., Lamari F., Benali H., Mangin J. F., Colliot O., Genthon R., Habert M. O. and Hampel H.
The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification
Dubois J., Lefevre J., Angleys H., Leroy F., Fischer C., Lebenberg J., Dehaene-Lambertz G., Borradori-Tolsa C., Lazeyras F., Hertz-Pannier L., Mangin J. F., Huppi P. and Germanaud D.
Dopamine Transporter and Reward Anticipation in a Dimensional Perspective: A Multimodal Brain Imaging Study
Dubol M., Trichard C., Leroy C., Sandu A. L., Rahim M., Granger B., Tzavara E. T., Karila L., Martinot J. L. and Artiges E.
Burden of Dilated Perivascular Spaces, an Emerging Marker of Cerebral Small Vessel Disease, Is Highly Heritable
Duperron MG., Tzourio C., Sargurupremraj M., Mazoyer B., Soumare A., Schilling S., Amouyel P., Chauhan G., Zhu YC. and Debette S.
A set of regulatory genes co-expressed in embryonic human brain is implicated in disrupted speech development
Eising E., Carrion-Castillo A., Vino A., Strand E. A., Jakielski K. J., Scerri T. S., Hildebrand M. S., Webster R., Ma A., Mazoyer B., Francks C., Bahlo M., Scheffer I. E., Morgan A. T., Shriberg L. D. and Fisher S. E.
Validation of an automatic reference region extraction for the quantification of [(18)F]DPA-714 in dynamic brain PET studies
Garcia-Lorenzo D., Lavisse S., Leroy C., Wimberley C., Bodini B., Remy P., Veronese M., Turkheimer F., Stankoff B. and Bottlaender M.
Evaluation of amyloid status in a cohort of elderly individuals with memory complaints: validation of the method of quantification and determination of positivity thresholds
Habert M. O., Bertin H., Labit M., Diallo M., Marie S., Martineau K., Kas A., Causse-Lemercier V., Bakardjian H., Epelbaum S., Chetelat G., Houot M., Hampel H., Dubois B. and Mangin J. F.
A random-matrix theory of the number sense
Hannagan T., Nieder A., Viswanathan P. and Dehaene S.
Plasma amyloid levels within the Alzheimer's process and correlations with central biomarkers
Hanon O., Vidal J. S., Lehmann S., Bombois S., Allinquant B., Treluyer J. M., Gele P., Delmaire C., Blanc F., Mangin J. F., Buee L., Touchon J., Hugon J., Vellas B., Galbrun E., Benetos A., Berrut G., Paillaud E., Wallon D., Castelnovo G., Volpe-Gillot L., Paccalin M., Robert P. H., Godefroy O., Dantoine T., Camus V., Belmin J., Vandel P., Novella J. L., Duron E., Rigaud A. S., Schraen-Maschke S. and Gabelle A.
Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations
Iscan Z. and Nikulin V. V.
Beyond the word and image: II- Structural and functional connectivity of a common semantic system
Jouen A. L., Ellmore T. M., Madden-Lombardi C. J., Pallier C., Dominey P. F. and Ventre-Dominey J.
Feedback control of microbubble cavitation for ultrasound-mediated blood-brain barrier disruption in non-human primates under magnetic resonance guidance
Kamimura H. A., Flament J., Valette J., Cafarelli A., Aron Badin R., Hantraye P. and Larrat B.
Precursor processes of human self-initiated action
Khalighinejad N., Schurger A., Desantis A., Zmigrod L. and Haggard P.
Convex Optimization approach to signals with fast varying instantaneous frequency
Kowalski M., Meynard A. and Wu H. T.
Diminished neural resources allocation to time processing in Autism Spectrum Disorders
Lambrechts A., Falter-Wagner C. M. and van Wassenhove V.
Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function
Lefort-Besnard J., Bassett D. S., Smallwood J., Margulies D. S., Derntl B., Gruber O., Aleman A., Jardri R., Varoquaux G., Thirion B., Eickhoff S. B. and Bzdok D.
Consequence of intraventricular hemorrhage on neurovascular coupling evoked by speech syllables in preterm neonates
Mahmoudzadeh M., Dehaene-Lambertz G., Kongolo G., Fournier M., Goudjil S. and Wallois F.
Stochastic Subsampling for Factorizing Huge Matrices
Mensch A., Mairal J., Thirion B. and Varoquaux G.
Prospective associations between white matter hyperintensities and lower extremity function
Moon S. Y., de Souto Barreto P., Rolland Y., Chupin M., Bouyahia A., Fillon L., Mangin J. F., Andrieu S., Cesari M. and Vellas B.
Neural capacity limits during unconscious semantic processing
Nakamura K., Makuuchi M., Oga T., Mizuochi-Endo T., Iwabuchi T., Nakajima Y. and Dehaene S.
1 - 30Next