M. Stevens, The developmental cognitive neuroscience of functional connectivity, Brain and Cognition, vol.70, issue.1, pp.1-12, 2009.
DOI : 10.1016/j.bandc.2008.12.009

P. Uhlhaas and W. Singer, Neural Synchrony in Brain Disorders: Relevance for Cognitive Dysfunctions and Pathophysiology, Neuron, vol.52, issue.1, pp.155-168, 2006.
DOI : 10.1016/j.neuron.2006.09.020

M. Belmonte, G. Allen, A. Beckel-mitchener, L. Boulanger, and R. Carper, Autism and Abnormal Development of Brain Connectivity, Journal of Neuroscience, vol.24, issue.42, pp.9228-9231, 2004.
DOI : 10.1523/JNEUROSCI.3340-04.2004

B. Rogers, V. Morgan, A. Newton, and J. Gore, Assessing functional connectivity in the human brain by fMRI, Magnetic Resonance Imaging, vol.25, issue.10, pp.1347-1357, 2007.
DOI : 10.1016/j.mri.2007.03.007

O. David, D. Cosmelli, D. Hasboun, and L. Garnero, A multitrial analysis for revealing significant corticocortical networks in magnetoencephalography and electroencephalography, NeuroImage, vol.20, issue.1, pp.186-201, 2003.
DOI : 10.1016/S1053-8119(03)00221-0

F. Bartolomei, I. Bosma, M. Klein, J. Baayen, and J. Reijneveld, How do brain tumors alter functional connectivity? A magnetoencephalography study, Annals of Neurology, vol.19, issue.1, pp.128-138, 2006.
DOI : 10.1002/ana.20710

S. Baillet, J. Mosher, and R. Leahy, Electromagnetic brain mapping, IEEE Signal Processing Magazine, vol.18, issue.6, pp.14-30, 2001.
DOI : 10.1109/79.962275

C. Michel, M. Murray, G. Lantz, S. Gonzalez, and L. Spinelli, EEG source imaging, Clinical Neurophysiology, vol.115, issue.10, pp.2195-2222, 2004.
DOI : 10.1016/j.clinph.2004.06.001

URL : https://hal.archives-ouvertes.fr/hal-00617795

K. Ansari-asl, L. Senhadji, J. Bellanger, and F. Wendling, Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals, Physical Review E, vol.74, issue.3, p.31916, 2006.
DOI : 10.1103/PhysRevE.74.031916

URL : https://hal.archives-ouvertes.fr/inserm-00129780

F. Wendling, K. Ansari-asl, F. Bartolomei, and L. Senhadji, From EEG signals to brain connectivity: A model-based evaluation of interdependence measures, Journal of Neuroscience Methods, vol.183, issue.1, pp.9-18, 2009.
DOI : 10.1016/j.jneumeth.2009.04.021

URL : https://hal.archives-ouvertes.fr/inserm-00387863

E. Pereda, R. Quiroga, and J. Bhattacharya, Nonlinear multivariate analysis of neurophysiological signals, Progress in Neurobiology, vol.77, issue.1-2, pp.1-37, 2005.
DOI : 10.1016/j.pneurobio.2005.10.003

K. Friston, Functional and effective connectivity in neuroimaging: A synthesis, Human Brain Mapping, vol.10, issue.Suppl 2, pp.56-78, 1994.
DOI : 10.1002/hbm.460020107

K. Blinowska, Review of the methods of determination of directed connectivity from multichannel data, Medical & Biological Engineering & Computing, vol.85, issue.1, pp.521-529, 2011.
DOI : 10.1007/s11517-011-0739-x

J. Schoffelen and J. Gross, Source connectivity analysis with MEG and EEG, Human Brain Mapping, vol.126, issue.Part 1, pp.1857-1865, 2009.
DOI : 10.1002/hbm.20745

L. Astolfi, F. Cincotti, D. Mattia, C. Babiloni, and F. Carducci, Assessing cortical functional connectivity by linear inverse estimation and directed transfer function: simulations and application to real data, Clinical Neurophysiology, vol.116, issue.4, pp.920-932, 2005.
DOI : 10.1016/j.clinph.2004.10.012

L. Astolfi, F. Cincotti, D. Mattia, S. Salinari, and C. Babiloni, Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG, Magnetic Resonance Imaging, vol.22, issue.10, pp.1457-1470, 2004.
DOI : 10.1016/j.mri.2004.10.006

F. Babiloni, F. Cincotti, C. Babiloni, F. Carducci, and D. Mattia, Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function, NeuroImage, vol.24, issue.1, pp.118-131, 2005.
DOI : 10.1016/j.neuroimage.2004.09.036

O. David, D. Cosmelli, and K. Friston, Evaluation of different measures of functional connectivity using a neural mass model, NeuroImage, vol.21, issue.2, pp.659-673, 2004.
DOI : 10.1016/j.neuroimage.2003.10.006

O. David, L. Garnero, D. Cosmelli, and F. Varela, Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony, IEEE Transactions on Biomedical Engineering, vol.49, issue.9, pp.975-987, 2002.
DOI : 10.1109/TBME.2002.802013

A. Ghuman, J. Mcdaniel, and A. Martin, A wavelet-based method for measuring the oscillatory dynamics of resting-state functional connectivity in MEG, NeuroImage, vol.56, issue.1, pp.69-77, 2011.
DOI : 10.1016/j.neuroimage.2011.01.046

K. Hoechstetter, H. Bornfleth, D. Weckesser, N. Ille, and P. Berg, BESA Source Coherence: A New Method to Study Cortical Oscillatory Coupling, Brain Topography, vol.16, issue.4, pp.233-238, 2004.
DOI : 10.1023/B:BRAT.0000032857.55223.5d

G. Supp, A. Schlögl, N. Trujillo-barreto, M. Müller, and T. Gruber, Directed Cortical Information Flow during Human Object Recognition: Analyzing Induced EEG Gamma-Band Responses in Brain's Source Space, PLoS ONE, vol.22, issue.8, p.684, 2007.
DOI : 10.1371/journal.pone.0000684.t002

M. Brookes, J. Hale, J. Zumer, C. Stevenson, and S. Francis, Measuring functional connectivity using MEG: Methodology and comparison with fcMRI, NeuroImage, vol.56, issue.3, pp.1082-1104, 2011.
DOI : 10.1016/j.neuroimage.2011.02.054

M. Hämäläinen and R. Ilmoniemi, Interpreting magnetic fields of the brain: minimum norm estimates, Medical & Biological Engineering & Computing, vol.22, issue.1, pp.35-42, 1994.
DOI : 10.1007/BF02512476

M. Eddy, A. Schmid, and P. Holcomb, Masked repetition priming and event-related brain potentials: A new approach for tracking the time-course of object perception, Psychophysiology, vol.43, issue.6, pp.564-568, 2006.
DOI : 10.1016/S0921-884X(96)95172-3

F. Lin, T. Witzel, M. Hämälä-inen, A. Dale, and J. Belliveau, Spectral spatiotemporal imaging of cortical oscillations and interactions in the human brain, NeuroImage, vol.23, issue.2, pp.582-595, 2004.
DOI : 10.1016/j.neuroimage.2004.04.027

R. Pascual-marqui, C. Michel, and D. Lehmann, Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain, International Journal of Psychophysiology, vol.18, issue.1, pp.49-65, 1994.
DOI : 10.1016/0167-8760(84)90014-X

R. Pascual-marqui, Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details, Methods Find Exp Clin Pharmacol, vol.24, pp.5-12, 2002.

C. Grova, J. Daunizeau, J. Lina, C. Bénar, and H. Benali, Evaluation of EEG localization methods using realistic simulations of interictal spikes, NeuroImage, vol.29, issue.3, pp.734-753, 2006.
DOI : 10.1016/j.neuroimage.2005.08.053

URL : https://hal.archives-ouvertes.fr/inserm-00140782

X. Bai, V. Towle, E. He, and B. He, Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI, NeuroImage, vol.35, issue.2, pp.598-608, 2007.
DOI : 10.1016/j.neuroimage.2006.12.026

M. Brazier and J. Casby, Crosscorrelation and autocorrelation studies of electroencephalographic potentials, Electroencephalography and Clinical Neurophysiology, vol.4, issue.2, pp.201-211, 1952.
DOI : 10.1016/0013-4694(52)90010-2

M. Brazier, Studies of the EEG activity of limbic structures in man, Electroencephalography and Clinical Neurophysiology, vol.25, issue.4, pp.309-318, 1968.
DOI : 10.1016/0013-4694(68)90171-5

N. Mars and F. Lopes-da-silva, Propagation of seizure activity in kindled dogs, Electroencephalography and Clinical Neurophysiology, vol.56, issue.2, pp.194-209, 1983.
DOI : 10.1016/0013-4694(83)90074-3

J. Pijn, L. Silva, and F. , Propagation of Electrical Activity: Nonlinear Associations and Time Delays between EEG Signals, 1993.
DOI : 10.1007/978-1-4612-0341-4_4

F. Wendling, F. Bartolomei, J. Bellanger, and P. Chauvel, Interpretation of interdependencies in epileptic signals using a macroscopic physiological model of the EEG, Clinical Neurophysiology, vol.112, issue.7, pp.1201-1218, 2001.
DOI : 10.1016/S1388-2457(01)00547-8

C. Stam, M. Breakspear, . Van-walsum-amvc, and B. Van-dijk, Nonlinear synchronization in EEG and whole-head MEG recordings of healthy subjects, Human Brain Mapping, vol.53, issue.2, pp.63-78, 2003.
DOI : 10.1002/hbm.10106

M. Rosenblum, A. Pikovsky, J. Kurths, C. Schä-fer, and P. Tass, Chapter 9 Phase synchronization: From theory to data analysis, Handbook of biological physics, vol.4, pp.279-321, 2001.
DOI : 10.1016/S1383-8121(01)80012-9

G. Nolte, O. Bai, L. Wheaton, Z. Mari, and S. Vorbach, Identifying true brain interaction from EEG data using the imaginary part of coherency, Clinical Neurophysiology, vol.115, issue.10, pp.2292-2307, 2004.
DOI : 10.1016/j.clinph.2004.04.029

M. Drakesmith, W. El-deredy, and S. Welbourne, Reconstructing Coherent Networks from Electroencephalography and Magnetoencephalography with Reduced Contamination from Volume Conduction or Magnetic Field Spread, PLoS ONE, vol.8, issue.12, p.81553, 2013.
DOI : 10.1371/journal.pone.0081553.s003

L. Astolfi, F. Cincotti, D. Mattia, M. Marciani, and L. Baccala, Comparison of different cortical connectivity estimators for high-resolution EEG recordings, Human Brain Mapping, vol.11, issue.2, pp.143-157, 2007.
DOI : 10.1002/hbm.20263

O. Sporns, Structure and function of complex brain networks, Dialogues Clin Neurosci, vol.15, pp.247-262, 2013.

M. Liljeström, A. Hultén, L. Parkkonen, and R. Salmelin, Comparing MEG and fMRI views to naming actions and objects, Human Brain Mapping, vol.22, issue.Part 11, pp.1845-1856, 2009.
DOI : 10.1002/hbm.20785

M. Liljeström, A. Tarkiainen, T. Parviainen, J. Kujala, and J. Numminen, Perceiving and naming actions and objects, NeuroImage, vol.41, issue.3, pp.1132-1141, 2008.
DOI : 10.1016/j.neuroimage.2008.03.016

C. Price, C. Moore, G. Humphreys, R. Frackowiak, and K. Friston, The Neural Regions Sustaining Object Recognition and Naming, Proceedings of the Royal Society of London Series B: Biological Sciences, pp.1501-1507, 1996.
DOI : 10.1098/rspb.1996.0219

C. Price, J. Devlin, C. Moore, C. Morton, and A. Laird, Meta-analyses of object naming: Effect of baseline, Human Brain Mapping, vol.4, issue.1, pp.70-82, 2005.
DOI : 10.1002/hbm.20132

S. Murtha, H. Chertkow, M. Beauregard, and A. Evans, The Neural Substrate of Picture Naming, Journal of Cognitive Neuroscience, vol.24, issue.4, pp.399-423, 1999.
DOI : 10.1038/jcbfm.1992.127

C. Smith, A. Andersen, R. Kryscio, F. Schmitt, and M. Kindy, Differences in Functional Magnetic Resonance Imaging Activation by Category in a Visual Confrontation Naming Task, Journal of Neuroimaging, vol.28, issue.2, pp.165-170, 2001.
DOI : 10.1111/j.1552-6569.2001.tb00028.x

A. Martin, C. Wiggs, L. Ungerleider, and J. Haxby, Neural correlates of category-specific knowledge, Nature, vol.379, issue.6566, pp.649-652, 1996.
DOI : 10.1038/379649a0

O. Etard, E. Mellet, D. Papathanassiou, K. Benali, and O. Houdé, Picture naming without Broca??s and Wernicke??s area, NeuroReport, vol.11, issue.3, pp.617-622, 2000.
DOI : 10.1097/00001756-200002280-00036

A. Hultén, M. Vihla, M. Laine, and R. Salmelin, Accessing newly learned names and meanings in the native language, Human Brain Mapping, vol.22, issue.3, pp.976-989, 2009.
DOI : 10.1002/hbm.20561

W. Levelt, P. Praamstra, A. Meyer, P. Helenius, and R. Salmelin, An MEG Study of Picture Naming, Journal of Cognitive Neuroscience, vol.24, issue.5, pp.553-567, 1998.
DOI : 10.1006/jmla.1995.1014

M. Vihla, M. Laine, and R. Salmelin, Cortical dynamics of visual/semantic vs. phonological analysis in picture confrontation, NeuroImage, vol.33, issue.2, pp.732-738, 2006.
DOI : 10.1016/j.neuroimage.2006.06.040

P. Sörös, K. Cornelissen, M. Laine, and R. Salmelin, Naming actions and objects: cortical dynamics in healthy adults and in an anomic patient with a dissociation in action/object naming, NeuroImage, vol.19, issue.4, pp.1787-1801, 2003.
DOI : 10.1016/S1053-8119(03)00217-9

R. Salmelin, R. Hari, O. Lounasmaa, and M. Sams, Dynamics of brain activation during picture naming, Nature, vol.368, issue.6470, pp.463-465, 1994.
DOI : 10.1038/368463a0

E. Mandonnet, P. Gatignol, and H. Duffau, Evidence for an occipito-temporal tract underlying visual recognition in picture naming, Clinical Neurology and Neurosurgery, vol.111, issue.7, pp.601-605, 2009.
DOI : 10.1016/j.clineuro.2009.03.007

C. Shannon and W. Weaver, The mathematical theory of communication, 1949.

M. Roulston, Estimating the errors on measured entropy and mutual information, Physica D: Nonlinear Phenomena, vol.125, issue.3-4, pp.285-294, 1999.
DOI : 10.1016/S0167-2789(98)00269-3

Q. Quiroga, R. Kraskov, A. Kreuz, T. Grassberger, and P. , Reply to ???Comment on ???Performance of different synchronization measures in real data: A case study on electroencephalographic signals??? ???, Physical Review E, vol.72, issue.6, 2002.
DOI : 10.1103/PhysRevE.72.063902

A. Pikovsky, M. Rosenblum, and J. Kurths, Synchronization: a universal concept in nonlinear sciences, 2003.
DOI : 10.1017/CBO9780511755743

J. Lachaux, E. Rodriguez, L. Van-quyen, M. Lutz, A. Martinerie et al., STUDYING SINGLE-TRIALS OF PHASE SYNCHRONOUS ACTIVITY IN THE BRAIN, International Journal of Bifurcation and Chaos, vol.10, issue.10, pp.2429-2439, 2000.
DOI : 10.1142/S0218127400001560

P. Tass, M. Rosenblum, J. Weule, J. Kurths, and A. Pikovsky, Detection of n: m phase locking from noisy data: application to magnetoencephalography. Physical review letters 81, p.3291, 1998.

E. Rodriguez, N. George, J. Lachaux, J. Martinerie, and B. Renault, Perception's shadow: long-distance synchronization of human brain activity, Nature, vol.397, pp.430-433, 1999.

A. Dale and M. Sereno, Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach, Journal of Cognitive Neuroscience, vol.14, issue.2, pp.162-176, 1993.
DOI : 10.1007/BF02442317

A. Dale and M. Sereno, Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach, Journal of Cognitive Neuroscience, vol.14, issue.2, pp.162-176, 1993.
DOI : 10.1007/BF02442317

E. Palmero-soler, K. Dolan, V. Hadamschek, and P. Tass, swLORETA: a novel approach to robust source localization and synchronization tomography, Physics in Medicine and Biology, vol.52, issue.7, p.1783, 2007.
DOI : 10.1088/0031-9155/52/7/002

R. Oostenveld and P. Praamstra, The five percent electrode system for high-resolution EEG and ERP measurements, Clinical Neurophysiology, vol.112, issue.4, pp.713-719, 2001.
DOI : 10.1016/S1388-2457(00)00527-7

W. Schneider, A. Eschman, and A. Zuccolotto, E-Prime: User's guide: Psychology Software Incorporated, 2002.

F. Alario and L. Ferrand, A set of 400 pictures standardized for French: Norms for name agreement, image agreement, familiarity, visual complexity, image variability, and age of acquisition, Behavior Research Methods, Instruments, & Computers, vol.48, issue.3, pp.531-552, 1999.
DOI : 10.3758/BF03200732

A. Delorme and S. Makeig, EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, vol.134, issue.1, pp.9-21, 2004.
DOI : 10.1016/j.jneumeth.2003.10.009

G. Lantz, G. De-peralta, R. Spinelli, L. Seeck, M. Michel et al., Epileptic source localization with high density EEG: how many electrodes are needed?, Clinical Neurophysiology, vol.114, issue.1, pp.63-69, 2003.
DOI : 10.1016/S1388-2457(02)00337-1

A. Liu, A. Dale, and J. Belliveau, Monte Carlo simulation studies of EEG and MEG localization accuracy, Human Brain Mapping, vol.85, issue.1, pp.47-62, 2002.
DOI : 10.1002/hbm.10024

F. Babiloni, C. Babiloni, F. Carducci, G. Romani, and P. Rossini, Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study, NeuroImage, vol.19, issue.1, pp.1-15, 2003.
DOI : 10.1016/S1053-8119(03)00052-1

F. Babiloni, F. Carducci, F. Cincotti, D. Gratta, C. Pizzella et al., Linear inverse source estimate of combined EEG and MEG data related to voluntary movements, Human Brain Mapping, vol.70, issue.4, pp.197-209, 2001.
DOI : 10.1002/hbm.1052

A. Von-stein and J. Sarnthein, Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization, International Journal of Psychophysiology, vol.38, issue.3, pp.301-313, 2000.
DOI : 10.1016/S0167-8760(00)00172-0

N. Kopell, G. Ermentrout, M. Whittington, and R. Traub, Gamma rhythms and beta rhythms have different synchronization properties, Proceedings of the National Academy of Sciences, vol.97, issue.4, pp.1867-1872, 2000.
DOI : 10.1073/pnas.97.4.1867

D. Lange, F. Jensen, O. Bauer, M. , and T. I. , Interactions between posterior gamma and frontal alpha/beta oscillations during imagined actions, Frontiers in human neuroscience 2, 2008.

J. Dicarlo, D. Zoccolan, and N. Rust, How Does the Brain Solve Visual Object Recognition?, Neuron, vol.73, issue.3, pp.415-434, 2012.
DOI : 10.1016/j.neuron.2012.01.010

G. Orban, D. Van-essen, and W. Vanduffel, Comparative mapping of higher visual areas in monkeys and humans, Trends in Cognitive Sciences, vol.8, issue.7, pp.315-324, 2004.
DOI : 10.1016/j.tics.2004.05.009

D. Leube, M. Erb, W. Grodd, M. Bartels, and T. Kircher, Activation of right fronto-temporal cortex characterizes the ???living??? category in semantic processing, Cognitive Brain Research, vol.12, issue.3, pp.425-430, 2001.
DOI : 10.1016/S0926-6410(01)00068-4

S. Abrahams, L. Goldstein, A. Simmons, M. Brammer, and S. Williams, Functional magnetic resonance imaging of verbal fluency and confrontation naming using compressed image acquisition to permit overt responses, Human Brain Mapping, vol.4, issue.1, pp.29-40, 2003.
DOI : 10.1002/hbm.10126

C. Gerlach, I. Law, A. Gade, and O. Paulson, Categorization and category effects in normal object recognition, Neuropsychologia, vol.38, issue.13, pp.1693-1703, 2000.
DOI : 10.1016/S0028-3932(00)00082-8

K. Mcdermott, S. Petersen, J. Watson, and J. Ojemann, A procedure for identifying regions preferentially activated by attention to semantic and phonological relations using functional magnetic resonance imaging, Neuropsychologia, vol.41, issue.3, pp.293-303, 2003.
DOI : 10.1016/S0028-3932(02)00162-8

J. Zhang, H. Leung, and M. Johnson, Frontal activations associated with accessing and evaluating information in working memory: an fMRI study, NeuroImage, vol.20, issue.3, pp.1531-1539, 2003.
DOI : 10.1016/j.neuroimage.2003.07.016

E. Düzel, T. Picton, R. Cabeza, A. Yonelinas, and H. Scheich, Comparative electrophysiological and hemodynamic measures of neural activation during memory-retrieval, Human Brain Mapping, vol.6, issue.Suppl 42, pp.104-123, 2001.
DOI : 10.1002/hbm.1028

K. Patterson, P. Nestor, and T. Rogers, Where do you know what you know? The representation of semantic knowledge in the human brain, Nature Reviews Neuroscience, vol.9, issue.12, pp.976-987, 2007.
DOI : 10.1038/nrn2277

M. Brookes, M. Woolrich, and G. Barnes, Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage, NeuroImage, vol.63, issue.2, pp.910-920, 2012.
DOI : 10.1016/j.neuroimage.2012.03.048

G. Vingerhoets, J. Borsel, C. Tesink, M. Van-den-noort, and K. Deblaere, Multilingualism: an fMRI study, NeuroImage, vol.20, issue.4, pp.2181-2196, 2003.
DOI : 10.1016/j.neuroimage.2003.07.029

E. Edwards, S. Nagarajan, S. Dalal, R. Canolty, and H. Kirsch, Spatiotemporal imaging of cortical activation during verb generation and picture naming, NeuroImage, vol.50, issue.1, pp.291-301, 2010.
DOI : 10.1016/j.neuroimage.2009.12.035

M. Van-turennout, L. Bielamowicz, and A. Martin, Modulation of Neural Activity during Object Naming: Effects of Time and Practice, Cerebral Cortex, vol.13, issue.4, pp.381-391, 2003.
DOI : 10.1093/cercor/13.4.381

L. Tyler, E. Stamatakis, P. Bright, K. Acres, and S. Abdallah, Processing Objects at Different Levels of Specificity, Journal of Cognitive Neuroscience, vol.13, issue.3, pp.351-362, 2004.
DOI : 10.1093/brain/107.3.829

J. Deleon, R. Gottesman, J. Kleinman, M. Newhart, and C. Davis, Neural regions essential for distinct cognitive processes underlying picture naming, Brain, vol.130, issue.5, pp.1408-1422, 2007.
DOI : 10.1093/brain/awm011

C. Moore and C. Price, Three Distinct Ventral Occipitotemporal Regions for Reading and Object Naming, NeuroImage, vol.10, issue.2, pp.181-192, 1999.
DOI : 10.1006/nimg.1999.0450

R. Kawashima, G. Hatano, K. Oizumi, M. Sugiura, and H. Fukuda, Different neural systems for recognizing plants, animals, and artifacts, Brain Research Bulletin, vol.54, issue.3, pp.313-317, 2001.
DOI : 10.1016/S0361-9230(00)00440-8

C. Garn, M. Allen, and J. Larsen, An fMRI study of sex differences in brain activation during object naming, Cortex, vol.45, issue.5, pp.610-618, 2009.
DOI : 10.1016/j.cortex.2008.02.004