U. Ebeling, U. D. Schmid, and H. J. Reulen, Tumour-surgery within the central motor strip: Surgical results with the aid of electrical motor cortex stimulation, Acta Neurochirurgica, vol.51, issue.6, pp.100-107, 1989.
DOI : 10.1007/BF01410522

C. Grienberger and A. Konnerth, Imaging Calcium in Neurons, Neuron, vol.73, issue.5, pp.862-885, 2012.
DOI : 10.1016/j.neuron.2012.02.011

D. S. Peterka, H. Takahashi, and R. Yuste, Imaging Voltage in Neurons, Neuron, vol.69, issue.1, pp.9-21, 2011.
DOI : 10.1016/j.neuron.2010.12.010

URL : http://doi.org/10.1016/j.neuron.2010.12.010

S. Sheth, Evaluation of coupling between optical intrinsic signals and neuronal activity in rat somatosensory cortex, NeuroImage, vol.19, issue.3, pp.884-894, 2003.
DOI : 10.1016/S1053-8119(03)00086-7

Y. Chen, Optical coherence tomography (OCT) reveals depth-resolved dynamics during functional brain activation, Journal of Neuroscience Methods, vol.178, issue.1, pp.162-173, 2009.
DOI : 10.1016/j.jneumeth.2008.11.026

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004397

M. E. Phelps and J. C. Mazziotta, Positron emission tomography: human brain function and biochemistry, Science, vol.228, issue.4701, pp.799-809, 1985.
DOI : 10.1126/science.2860723

S. Ogawa, T. M. Lee, A. R. Kay, and D. W. Tank, Brain magnetic resonance imaging with contrast dependent on blood oxygenation., Proc. Natl. Acad. Sci. USA, pp.9868-9872, 1990.
DOI : 10.1073/pnas.87.24.9868

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC55275/pdf

J. Richiardi, H. Eryilmaz, S. Schwartz, P. Vuilleumier, and D. Van-de-ville, Decoding brain states from fMRI connectivity graphs, NeuroImage, vol.56, issue.2, pp.616-626, 2011.
DOI : 10.1016/j.neuroimage.2010.05.081

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.7749

E. F. Chang, Functional mapping???guided resection of low-grade gliomas in eloquent areas of the brain: improvement of long-term survival, Journal of Neurosurgery, vol.114, issue.3, pp.566-573, 2010.
DOI : 10.3171/2010.6.JNS091246

E. Macé, Functional ultrasound imaging of the brain, Nature Methods, vol.12, issue.8, pp.662-664, 2011.
DOI : 10.1038/nmeth.1530

G. Montaldo, M. Tanter, J. Bercoff, N. Benech, and M. Fink, Coherent plane-wave compounding for very high frame rate ultrasonography and transient elastography, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.56, issue.3, pp.489-506, 2009.
DOI : 10.1109/TUFFC.2009.1067

E. Mace, Figure 8, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.60, issue.3, pp.492-506, 2013.
DOI : 10.1109/TUFFC.2013.2592/mm4

H. Duffau, Contribution of intraoperative electrical stimulations in surgery of low grade gliomas: a comparative study between two series without (1985-96) and with (1996-2003) functional mapping in the same institution, Journal of Neurology, Neurosurgery & Psychiatry, vol.76, issue.6, pp.845-851, 2005.
DOI : 10.1136/jnnp.2004.048520

P. C. De-witt-hamer, S. G. Robles, A. H. Zwinderman, H. Duffau, and M. S. Berger, Impact of Intraoperative Stimulation Brain Mapping on Glioma Surgery Outcome: A Meta-Analysis, Journal of Clinical Oncology, vol.30, issue.20, pp.2559-2565, 2012.
DOI : 10.1200/JCO.2011.38.4818

F. Roser and M. Liebsch, Closer to the Edge???The Value of Intraoperative Brain Mapping, World Neurosurgery, vol.89, pp.689-691, 2016.
DOI : 10.1016/j.wneu.2015.11.104

S. Ille, Combined noninvasive language mapping by navigated transcranial magnetic stimulation and functional MRI and its comparison with direct cortical stimulation, Journal of Neurosurgery, vol.123, issue.1, pp.212-225, 2015.
DOI : 10.3171/2014.9.JNS14929

M. Imbault, Functional ultrasound imaging of the human brain activity: An intraoperative pilot study for cortical functional mapping, 2016 IEEE International Ultrasonics Symposium (IUS), pp.1-4, 2016.
DOI : 10.1109/ULTSYM.2016.7728505

J. V. Duarte, Early Disrupted Neurovascular Coupling and Changed Event Level Hemodynamic Response Function in Type 2 Diabetes: An fMRI Study, Journal of Cerebral Blood Flow & Metabolism, vol.62, issue.10, pp.1671-1680, 2015.
DOI : 10.1016/j.neuroimage.2012.02.015

T. Krings, Metabolic and electrophysiological validation of functional MRI, Journal of Neurology, Neurosurgery & Psychiatry, vol.71, issue.6, pp.762-771, 2001.
DOI : 10.1136/jnnp.71.6.762

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1737624

C. Demené, 4D microvascular imaging based on ultrafast Doppler tomography, NeuroImage, vol.127, pp.472-483, 2016.
DOI : 10.1016/j.neuroimage.2015.11.014

M. F. Rasmussen, T. L. Christiansen, E. V. Thomsen, and J. Jensen, 3-D imaging using row-column-addressed arrays with integrated apodization - part i: apodization design and line element beamforming, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.62, issue.5, pp.947-958, 2015.
DOI : 10.1109/TUFFC.2014.006531

T. L. Christiansen, 3-D imaging using row???column-addressed arrays with integrated apodization??? part ii: transducer fabrication and experimental results, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.62, issue.5, pp.959-971, 2015.
DOI : 10.1109/TUFFC.2014.006819

M. Flesch, 4D in-vivo ultrafast ultrasound imaging using a row-column addressed matrix and coherently-compounded orthogonal plane waves, Phys. Med. Biol, pp.10-1088, 2017.

P. J. Drew, A. Y. Shih, and D. Kleinfeld, Fluctuating and sensory-induced vasodynamics in rodent cortex extend arteriole capacity, Proc. Natl. Acad. Sci. USA, pp.8473-8478, 2011.
DOI : 10.1093/cercor/bhn085

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100929

C. M. Peppiatt, C. Howarth, P. Mobbs, and D. Attwell, Bidirectional control of CNS capillary diameter by pericytes, Nature, vol.26, issue.7112, pp.700-704, 2006.
DOI : 10.1152/ajpheart.01007.2002

M. Yemisci, Pericyte contraction induced by oxidative-nitrative stress impairs capillary reflow despite successful opening of an occluded cerebral artery, Nature Medicine, vol.284, issue.9, pp.1031-1037, 2009.
DOI : 10.1152/ajpheart.01007.2002

T. Jin and S. Kim, Cortical layer-dependent dynamic blood oxygenation, cerebral blood flow and cerebral blood volume responses during visual stimulation, NeuroImage, vol.43, issue.1, pp.1-9, 2008.
DOI : 10.1016/j.neuroimage.2008.06.029

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579763

K. K. Shung, R. Sigelmann, and J. M. Reid, Scattering of Ultrasound by Blood, IEEE Transactions on Biomedical Engineering, vol.23, issue.6, pp.460-467, 1976.
DOI : 10.1109/TBME.1976.324604

J. M. Rubin, Fractional moving blood volume: estimation with power Doppler US., Radiology, vol.197, issue.1, pp.183-190, 1995.
DOI : 10.1148/radiology.197.1.7568820

J. M. Rubin, Normalizing fractional moving blood volume estimates with power Doppler US: defining a stable intravascular point with the cumulative power distribution function., Radiology, vol.205, issue.3, pp.757-765, 1997.
DOI : 10.1148/radiology.205.3.9393532

K. K. Shung, G. Cloutier, and C. C. Lim, The effects of hematocrit, shear rate, and turbulence on ultrasonic Doppler spectrum from blood, IEEE Transactions on Biomedical Engineering, vol.39, issue.5, pp.462-469, 1992.
DOI : 10.1109/10.135540

G. Cloutier and Z. Qin, Ultrasound backscattering from non-aggregating and aggregating erythrocytes-a review, Biorheology, vol.34, issue.6, pp.443-470, 1997.
DOI : 10.1016/S0006-355X(98)00026-2

L. A. Ledoux, P. J. Brands, and A. P. Hoeks, Reduction of the Clutter Component in Doppler Ultrasound Signals Based on Singular Value Decomposition: A Simulation Study, Ultrasonic Imaging, vol.37, issue.1, pp.1-18, 1997.
DOI : 10.1016/0301-4622(90)88038-T

A. Yu and L. Lovstakken, Eigen-based clutter filter design for ultrasound color flow imaging: a review, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.57, issue.5, 2010.
DOI : 10.1109/TUFFC.2010.1521

C. Demené, Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity, IEEE Transactions on Medical Imaging, vol.34, issue.11, pp.2271-2285, 2015.
DOI : 10.1109/TMI.2015.2428634