Liste des accusés de réception et les sources de financement. Le travail est soutenu par le NIH RO1-MH54246 (MB), la National Science Foundation BCS0923763 (MB), la Defense Advanced Research Projects Agency (DARPA) sous contrat NBCHZ090439 (WS), l&#39;Office of Naval Research (ONR) en vertu prix N00014-11 -1 à 0399 (WS), et l&#39;Army Research Lab (ARL) sous contrat W911NF-10-2-0022 (WS). Les points de vue, des opinions et / ou les résultats contenus dans cette présentation sont celles des auteurs et ne devraient pas être interprétés comme représentant les vues ni les politiques officielles, expresse ou implicite, des organismes ci-dessus ou aux États-Unis Département de la Défense.

<ol>
	<li>Wedeen, V. a. n. J., Hagmann, P., Tseng, W. I., Reese, T. G., Weisskoff, R. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mapping+complex+tissue+architecture+with+diffusion+spectrum+magnetic+resonance+imaging.">Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging.</a> Magnetic Resonance in Medicine. 54 (6), 1377-1386 (2005).</li><li>Wedeen, V. J., Wang, R. P., Schmahmann, J. D., Benner, T., Tseng, W. Y. I., Dai, G., Pandya, D. N., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Diffusion+spectrum+magnetic+resonance+imaging+(DSI)+tractography+of+crossing+fibers.">Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers.</a> NeuroImage. 41 (4), 1267-1277 (2008).</li><li>Pipe, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Pulse+Sequences+for+Diffusion-weighted+MRI.">Pulse Sequences for Diffusion-weighted MRI.</a> Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. , 12-35 (2009).</li><li>Le Bihan, D., Poupon, C., Amadon, A., Lethimonnier, F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Artifacts+and+pitfalls+in+diffusion+MRI.">Artifacts and pitfalls in diffusion MRI.</a> Journal of Magnetic Resonance Imaging: JMRI. 24 (3), 478-488 (2006).</li><li>Tuch, D. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Q-ball+imaging.">Q-ball imaging.</a> Magnetic Resonance in Medicine. 52 (6), 1358-1372 (2004).</li><li>Sakaie, K. E., Lowe, M. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+objective+method+for+regularization+of+fiber+orientation+distributions+derived+from+diffusion-weighted+MRI.">An objective method for regularization of fiber orientation distributions derived from diffusion-weighted MRI.</a> NeuroImage. 34 (1), 169-176 (2007).</li><li>Reese, T. G., Benner, T., Wang, R., Feinberg, D. A., Wedeen, V. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Halving+imaging+time+of+whole+brain+diffusion+spectrum+imaging+and+diffusion+tractography+using+simultaneous+image+refocusing+in+EPI.">Halving imaging time of whole brain diffusion spectrum imaging and diffusion tractography using simultaneous image refocusing in EPI.</a> Journal of Magnetic Resonance Imaging. 29 (3), 517-522 (2009).</li><li>Cox, R. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=AFNI:+software+for+analysis+and+visualization+of+functional+magnetic+resonance+neuroimages.">AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.</a> Computers and Biomedical Research. 29 (3), 162-173 (1996).</li><li>Cox, R. W., Hyde, J. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Software+tools+for+analysis+and+visualization+of+fMRI+data.">Software tools for analysis and visualization of fMRI data.</a> NMR in Biomedicine. 10 (4-5), 171-178 (1997).</li><li>Goebel, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=BRAINVOYAGER:+a+program+for+analyzing+and+visualizing+functional+and+structural+magnetic+resonance+data+sets.">BRAINVOYAGER: a program for analyzing and visualizing functional and structural magnetic resonance data sets.</a> NeuroImage. 3, S604 (1996).</li><li>Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Advances+in+functional+and+structural+MR+image+analysis+and+implementation+as+FSL.">Advances in functional and structural MR image analysis and implementation as FSL.</a> NeuroImage. 23, S208-S219 (2004).</li><li>Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T., Beckmann, C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Bayesian+analysis+of+neuroimaging+data+in+FSL.">Bayesian analysis of neuroimaging data in FSL.</a> NeuroImage. 45, S173-S186 (2009).</li><li>Friston, K. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Statistical parametric mapping: the analysis of functional brain images. , (2007).</li><li>Nichols, T., Hayasaka, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Controlling+the+familywise+error+rate+in+functional+neuroimaging:+a+comparative+review.">Controlling the familywise error rate in functional neuroimaging: a comparative review.</a> Statistical Methods in Medical Research. 12 (5), 419-446 (2003).</li><li>Benjamini, Y., Hochberg, Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Controlling+the+false+discovery+rate:+a+practical+and+powerful+approach+to+multiple+testing.">Controlling the false discovery rate: a practical and powerful approach to multiple testing.</a> Journal of the Royal Statistical Society, Series B (Methodological. 57 (1), 289-300 (1995).</li><li>Logan, B. R., Rowe, D. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+evaluation+of+thresholding+techniques+in+fMRI+analysis.">An evaluation of thresholding techniques in fMRI analysis.</a> NeuroImage. 22, 95-108 (2004).</li><li>Basser, P. J., Mattiello, J., LeBihan, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Estimation+of+the+effective+self-diffusion+tensor+from+the+NMR+spin+echo.">Estimation of the effective self-diffusion tensor from the NMR spin echo.</a> Journal of Magnetic Resonance, Series B. 103 (3), 247-254 (1994).</li><li>Basser, P. J., Mattiello, J., LeBihan, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=MR+diffusion+tensor+spectroscopy+and+imaging.">MR diffusion tensor spectroscopy and imaging.</a> Biophysical Journal. 66 (1), 259-267 (1994).</li><li>Frank, L. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Anisotropy+in+high+angular+resolution+diffusion-weighted+MRI.">Anisotropy in high angular resolution diffusion-weighted MRI.</a> Magnetic Resonance in Medicine. 45 (6), 935-939 (2001).</li><li>Frank, L. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Characterization+of+anisotropy+in+high+angular+resolution+diffusion-weighted+MRI.">Characterization of anisotropy in high angular resolution diffusion-weighted MRI.</a> Magnetic Resonance in Medicine. 47 (6), 1083-1099 (2002).</li><li>Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., Wedeen, V. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High+angular+resolution+diffusion+imaging+reveals+intravoxel+white+matter+fiber+heterogeneity.">High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity.</a> Magnetic Resonance in Medicine. 48 (4), 577-582 (2002).</li><li>Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Regularized,+fast,+and+robust+analytical+Q-ball+imaging.">Regularized, fast, and robust analytical Q-ball imaging.</a> Magnetic Resonance in Medicine. 58 (3), 497-510 (2007).</li><li>Tuch, D. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Q-ball+imaging.">Q-ball imaging.</a> Magnetic Resonance in Medicine. 52 (6), 1358-1372 (2004).</li><li>Yeh, F. C., Wedeen, V. J., Tseng, W. -. Y. I. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Generalized+Q-sampling+imaging.">Generalized Q-sampling imaging.</a> IEEE Transactions on Medical Imaging. 29 (9), 1626-1635 (2010).</li><li>Wang, R., Benner, T., Sorensen, A. G., Wedeen, V. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Diffusion+Toolkit:+a+software+package+for+diffusion+imaging+data+processing+and+tractography.">Diffusion Toolkit: a software package for diffusion imaging data processing and tractography.</a> Proc. Intl. Soc. Mag. Reson. Med. , 3720 (2007).</li><li>Sundaram, S. K., Kumar, A., Makki, M. I., Behen, M. E., Chugani, H. T., Chugani, D. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Diffusion+tensor+imaging+of+frontal+lobe+in+autism+spectrum+disorder.">Diffusion tensor imaging of frontal lobe in autism spectrum disorder.</a> Cereb Cortex. 18 (11), 2659-2665 (2008).</li><li>Greenberg, A. S., Verstynen, T., Chiu, Y. -. C., Yantis, S., Schneider, W., Behrmann, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Visuotopic+Cortical+Connectivity+Underlying+Attention+Revealed+with+White-Matter+Tractography.">Visuotopic Cortical Connectivity Underlying Attention Revealed with White-Matter Tractography.</a> The Journal of Neuroscience. 32 (8), 2773-2782 (2012).</li><li>Slotnick, S. D., Yantis, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Efficient+acquisition+of+human+retinotopic+maps.">Efficient acquisition of human retinotopic maps.</a> Human Brain Mapping. 18 (1), 22-29 (2003).</li><li>Greenberg, A. S., Esterman, M., Wilson, D., Serences, J. T., Yantis, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Control+of+spatial+and+feature-based+attention+in+frontoparietal+cortex.">Control of spatial and feature-based attention in frontoparietal cortex.</a> The Journal of Neuroscience. 30 (43), 14330-14339 (2010).</li><li>Kastner, S., Ungerleider, L. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mechanisms+of+visual+attention+in+the+human+cortex.">Mechanisms of visual attention in the human cortex.</a> Annual Review of Neuroscience. 23, 315-341 (2000).</li><li>B&#252;rgel, U., Amunts, K., Hoemke, L., Mohlberg, H., Gilsbach, J. M., Zilles, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=White+matter+fiber+tracts+of+the+human+brain:+Three-dimensional+mapping+at+microscopic+resolution,+topography+and+intersubject+variability.">White matter fiber tracts of the human brain: Three-dimensional mapping at microscopic resolution, topography and intersubject variability.</a> NeuroImage. 29 (4), 1092-1105 (2006).</li><li>Behrens, T. E. J., Jbabdi, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> MR Diffusion Tractography. Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. , 333-352 (2009).</li><li>Verstynen, T., Jarbo, K., Pathak, S., Schneider, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=In+vivo+mapping+of+microstructural+somatotopies+in+the+human+corticospinal+pathways.">In vivo mapping of microstructural somatotopies in the human corticospinal pathways.</a> Journal of Neurophysiology. 105 (1), 336-346 (2011).</li><li>Jarbo, K., Verstynen, T., Schneider, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=In+vivo+quantification+of+global+connectivity+in+the+human+corpus+callosum.">In vivo quantification of global connectivity in the human corpus callosum.</a> NeuroImage. , (2012).</li><li>Verstynen, T., Badre, D., Jarbo, K., Schneider, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Microstructural+organizational+patterns+in+the+human+corticostriatal+system.">Microstructural organizational patterns in the human corticostriatal system.</a> , (2012).</li><li>Wang, Y., Fern&#225;ndez-Miranda, J. C., Verstynen, T., Pathak, S., Schneider, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identifying+human+brain+tracts+with+tractography+and+fiber+microdissection:+mapping+connectivity+of+the+middle+longitudinal+fascicle+as+the+dorsal+auditory+pathway.">Identifying human brain tracts with tractography and fiber microdissection: mapping connectivity of the middle longitudinal fascicle as the dorsal auditory pathway.</a> , (2012).</li><li>Fernandez-Miranda, J. C., Engh, J. A., Pathak, S. K., Madhok, R., Boada, F. E., Schneider, W., Kassam, A. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High-definition+fiber+tracking+guidance+for+intraparenchymal+endoscopic+port+surgery.">High-definition fiber tracking guidance for intraparenchymal endoscopic port surgery.</a> Journal of Neurosurgery. 113 (5), 990-999 (2010).</li><li>Fernandez-Miranda, J. C., Engh, J., Pathak, S., Wang, Y., Jarbo, K., Verstynen, T., Boada, F., Schneider, W., Friedlander, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High-definition+fiber+tractography+of+the+human+brain:+neuroanatomical+validation+and+neurosurgical+applications.">High-definition fiber tractography of the human brain: neuroanatomical validation and neurosurgical applications.</a> , (2012).</li><li>Shin, S., Verstynen, T., Pathak, S., Jarbo, K., Hricik, A., Maserati, M., Beers, S., Puccio, A. M., Okonkwo, D., Schneider, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High+definition+fiber+tracking+for+assessment+of+neurologic+deficit+in+a+case+of+traumatic+brain+injury.">High definition fiber tracking for assessment of neurologic deficit in a case of traumatic brain injury.</a> Journal of Neurosurgery. , (2012).</li><li>Mori, S., Crain, B. J., Chacko, V. P., Van Zijl, P. C. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Three-dimensional+tracking+of+axonal+projections+in+the+brain+by+magnetic+resonance+imaging.">Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging.</a> Annals of Neurology. 45 (2), 265-269 (1999).</li><li>Tournier, J., Mori, S., Leemans, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Diffusion+tensor+imaging+and+beyond.">Diffusion tensor imaging and beyond.</a> Magnetic Resonance in Medicine. 65 (6), 1532-1556 (2011).</li><li>Seunarine, K. K., Alexander, D. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Multiple Fibers: Beyond the Diffusion Tensor. Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. , (2009).</li></ol>

Aucun conflit d&#39;intérêt déclaré.

Haute résolution CFA et tractographie de fibres fournissent une approche puissante pour examiner la structure de connexion du cerveau humain. Ici, nous présentons des preuves que cette architecture structurelle significative liée à la fonction cérébrale, évaluée par IRM. En utilisant des semences tractographie basé sur l&#39;activation IRMf tâche, nous constatons que les zones du cerveau qui sont co-actif durant attention visuelle sont anatomiquement connectedconsistent avec une connaissance préalable de la n...

co-analysis of brain structure and function using fmri and diffusion-weighted imaging

L&#39;étude des systèmes complexes de calcul est facilitée par des cartes de réseau, tels que les schémas de circuit. Cette cartographie est particulièrement intéressante lorsque l&#39;on étudie le cerveau, comme le rôle fonctionnel qui remplit une zone du cerveau peut être largement définie par ses connexions aux autres zones du cerveau. Dans ce rapport, nous décrivons un roman, non-invasive approche pour mettre en relation la structure et la fonction cérébrales par résonance magnétique (IRM). Cette approche, une combinaison de l&#39;imagerie structurelle des connexions fibre longue portée et des données d&#39;imagerie fonctionnelle, est illustrée dans deux domaines distincts cognitives, l&#39;attention visuelle et la perception visage. Imagerie structurelle est réalisée avec imagerie de diffusion (DWI) et tractographie de fibres, qui permettent de suivre la diffusion des molécules d&#39;eau le long des faisceaux de fibres de matière blanche dans le cerveau (figure 1). En visualisant ces faisceaux de fibres, nous sommes en mesure d&#39;étudier l&#39;architecture à long terme conjonctif du cerveau. Les résultats se comparent favorablement avec l&#39;une des techniques les plus couramment utilisées dans les CFA, diffusion tensor imaging (DTI). DTI est incapable de résoudre des configurations complexes de faisceaux de fibres, ce qui limite son utilité pour construire des modèles détaillés et anatomiquement informés du fonctionnement du cerveau. En revanche, nos analyses reproduire neuroanatomie connue avec précision et exactitude. Cet avantage est dû en partie à des procédures d&#39;acquisition de données: alors que de nombreux protocoles de diffusion DTI mesure dans un petit nombre de directions (par exemple, 6 ou 12), nous utilisons un spectre de diffusion d&#39;imagerie (DSI) 1, 2 protocole qui évalue la diffusion dans 257 directions et dans une plage de forces magnétiques à gradient. En outre, les données DSI nous permettre d&#39;utiliser des méthodes plus sophistiquées pour reconstruire des données acquises. Dans deux expériences (attention visuelle et la perception du visage), tractographie montre que les zones de co-actives du cerveau humain sont en connexion anatomique, en soutenant des hypothèses existantes qu&#39;elles forment des réseaux fonctionnels. DWI nous permet de créer un &quot;circuit diagram &quot;et la reproduire sur une base individuelle, sous réserve, dans le but de l&#39;activité du cerveau de suivi des tâches pertinentes dans les réseaux d&#39;intérêt.

Watch this Scientific Journal Video about Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging at JoVE.com

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Nous décrivons une nouvelle approche pour l&#39;analyse simultanée des fonctions du cerveau et de la structure à l&#39;aide imagerie par résonance magnétique (IRM). Nous évaluons la structure du cerveau à haute résolution imagerie de diffusion et tractographie de fibres de la substance blanche. Contrairement norme IRM structurelle, ces techniques nous permettent de relier directement la connectivité anatomique à propriétés fonctionnelles des réseaux cérébraux.

Co-analyse de la structure du cerveau et son fonctionnement en utilisant l&#39;IRMf et imagerie de diffusion

The study of complex computational systems is facilitated by network maps, such as circuit diagrams. Such mapping is particularly informative when ...

co-analysis-brain-structure-function-using-fmri-diffusion-weighted

Research

JoVE Journal

Neuroscience

26.0K vues.  Center for the Neural Basis of Cognition. Nous décrivons une nouvelle approche pour l'analyse simultanée des fonctions du cerveau et de la structure à l'aide imagerie par résonance magnétique (IRM). Nous évaluons la structure du cerveau à haute résolution imagerie de diffusion et tractographie de fibres de la substance blanche. Contrairement norme IRM structurelle, ces techniques nous permettent de relier directement la connectivité anatomique à propriétés fonctionnelles des réseaux cérébra...

Vidéo: Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Simultaneous fMRI and Electrophysiology in the Rodent Brain

To examine the neural basis of the blood oxygenation level dependent (BOLD) magnetic resonance imaging (MRI) signal, we have developed a rodent model in which functional MRI data and in vivo intracortical recording can be performed simultaneously. The combination of MRI and electrical recording is technically challenging because the electrodes used for recording distort the MRI images and the MRI acquisition induces noise in the electrical recording. To minimize the mutual interference of the two modalities, glass microelectrodes were used rather than metal and a noise removal algorithm was implemented for the electrophysiology data. In our studies, two microelectrodes were separately implanted in bilateral primary somatosensory cortices (SI) of the rat and fixed in place. One coronal slice covering the electrode tips was selected for functional MRI. Electrode shafts and fixation positions were not included in the image slice to avoid imaging artifacts. The removed scalp was replaced with toothpaste to reduce susceptibility mismatch and prevent Gibbs ringing artifacts in the images. The artifact structure induced in the electrical recordings by the rapidly-switching magnetic fields during image acquisition was characterized by averaging all cycles of scans for each run. The noise structure during imaging was then subtracted from original recordings. The denoised time courses were then used for further analysis in combination with the fMRI data. As an example, the simultaneous acquisition was used to determine the relationship between spontaneous fMRI BOLD signals and band-limited intracortical electrical activity. Simultaneous fMRI and electrophysiological recording in the rodent will provide a platform for many exciting applications in neuroscience in addition to elucidating the relationship between the fMRI BOLD signal and neuronal activity.

We have developed a method for simultaneous functional magnetic resonance imaging and electrophysiological recording in the rodent brain, providing a platform for the investigation of the relationship between neural activity and the blood oxygenation level dependent (BOLD) MRI signal.

IRMf simultanées et l&#39;électrophysiologie dans le cerveau de rongeurs

To examine the neural basis of the blood oxygenation level dependent (BOLD) magnetic resonance imaging (MRI) signal, we have developed a rodent model in ...

Recherche

Neurosciences

DiOLISTIC Labeling of Neurons from Rodent and Non-human Primate Brain Slices

DiOLISTIC staining uses the gene gun to introduce fluorescent dyes, such as DiI, into neurons of brain slices (Gan et al., 2009; O'Brien and Lummis, 2007; Gan et al., 2000). Here we provide a detailed description of each step required together with exemplary images of good and bad outcomes that will help when setting up the technique. In our experience, a few steps proved critical for the successful application of DiOLISTICS. These considerations include the quality of the DiI-coated bullets, the extent of fixative exposure, and the concentration of detergent used in the incubation solutions. Tips and solutions for common problems are provided. This is a versatile labeling technique that can be applied to multiple animal species at a wide range of ages. Unlike other fluorescent labeling techniques that are limited to preparations from young animals or restricted to mice because they rely on the expression of a fluorescent transgene, DiOLISTIC labeling can be applied to animals of all ages, species and genotypes and it can be used in combination with immunostaining to identify a specific subpopulation of cells. Here we demonstrate the use of DiOLISTICS to label neurons in brain slices from adult mice and adult non-human primates with the purpose of quantifying dendrite branching and dendritic spine morphology.

We demonstrate the use of the gene gun to introduce fluorescent dyes, such as DiI, into neurons in brain slices from rodents and non-human primates of different ages. In this particular case, we use adult mice (3-6 months old) and adult cynomologus monkeys (9-15 years old). This technique, originally described by the laboratory of Dr. Lichtman (Gan et al., 2000), is well suited for the study of dendritic branching and dendritic spine morphology and can be combined with traditional immunostaining, if detergents are kept at a low concentration.

Étiquetage DiOLISTIC des neurones à partir de rongeurs et non-humains tranches de cerveau des primates

DiOLISTIC staining uses the gene gun to introduce fluorescent dyes, such as DiI, into neurons of brain slices (Gan et al., 2009; O'Brien and Lummis, 2007; ...

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

The default mode network is a group of brain regions that are active when an individual is not focused on the outside world and the brain is at "wakeful rest."1,2,3 It is thought the default mode network corresponds to self-referential or "internal mentation".2,3
It has been hypothesized that, in humans, activity within the default mode network is correlated with certain pathologies (for instance, hyper-activation has been linked to schizophrenia 4,5,6 and autism spectrum disorders 7 whilst hypo-activation of the network has been linked to Alzheimer's and other neurodegenerative diseases 8). As such, noninvasive modulation of this network may represent a potential therapeutic intervention for a number of neurological and psychiatric pathologies linked to abnormal network activation. One possible tool to effect this modulation is Transcranial Magnetic Stimulation: a non-invasive neurostimulatory and neuromodulatory technique that can transiently or lastingly modulate cortical excitability (either increasing or decreasing it) via the application of localized magnetic field pulses.9
In order to explore the default mode network's propensity towards and tolerance of modulation, we will be combining TMS (to the left inferior parietal lobe) with functional magnetic resonance imaging (fMRI). Through this article, we will examine the protocol and considerations necessary to successfully combine these two neuroscientific tools.

In this article, we examine the methodology and considerations relevant to the combination of TMS and fMRI to examine the effects of brain stimulation on the default network.

Alliant la stimulation magnétique transcrânienne et l&#39;IRMf pour examiner le réseau en mode par défaut

The default mode network is a group of brain regions that are active when an individual is not focused on the outside world and the brain is at "wakeful ...

Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI

Current knowledge of sensory processing in the mammalian auditory system is mainly derived from electrophysiological studies in a variety of animal models, including monkeys, ferrets, bats, rodents, and cats. In order to draw suitable parallels between human and animal models of auditory function, it is important to establish a bridge between human functional imaging studies and animal electrophysiological studies. Functional magnetic resonance imaging (fMRI) is an established, minimally invasive method of measuring broad patterns of hemodynamic activity across different regions of the cerebral cortex. This technique is widely used to probe sensory function in the human brain, is a useful tool in linking studies of auditory processing in both humans and animals and has been successfully used to investigate auditory function in monkeys and rodents. The following protocol describes an experimental procedure for investigating auditory function in anesthetized adult cats by measuring stimulus-evoked hemodynamic changes in auditory cortex using fMRI. This method facilitates comparison of the hemodynamic responses across different models of auditory function thus leading to a better understanding of species-independent features of the mammalian auditory cortex.

Functional studies of the auditory system in mammals have traditionally been conducted using spatially-focused techniques such as electrophysiological recordings. The following protocol describes a method of visualizing large-scale patterns of evoked hemodynamic activity in the cat auditory cortex using functional magnetic resonance imaging.

Imagerie fonctionnelle du cortex auditif chez chats adultes à l&#39;aide de haut-champ IRMf

Current knowledge of sensory processing in the mammalian auditory system is mainly derived from electrophysiological studies in a variety of animal ...

Deep Brain Stimulation with Simultaneous fMRI in Rodents

In order to visualize the global and downstream neuronal responses to deep brain stimulation (DBS) at various targets, we have developed a protocol for using blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) to image rodents with simultaneous DBS. DBS fMRI presents a number of technical challenges, including accuracy of electrode implantation, MR artifacts created by the electrode, choice of anesthesia and paralytic to minimize any neuronal effects while simultaneously eliminating animal motion, and maintenance of physiological parameters, deviation from which can confound the BOLD signal.&#160;Our laboratory has developed a set of procedures that are capable of overcoming most of these possible issues. For electrical stimulation, a homemade tungsten bipolar microelectrode is used, inserted stereotactically at the stimulation site in the anesthetized subject. In preparation for imaging, rodents are fixed on a plastic headpiece and transferred to the magnet bore. For sedation and paralysis during scanning, a cocktail of dexmedetomidine and pancuronium is continuously infused, along with a minimal dose of isoflurane; this preparation minimizes the BOLD ceiling effect of volatile anesthetics. In this example experiment, stimulation of the subthalamic nucleus (STN) produces BOLD responses which are observed primarily in ipsilateral cortical regions, centered in motor cortex. Simultaneous DBS and fMRI allows the unambiguous modulation of neural circuits dependent on stimulation location and stimulation parameters, and permits observation of neuronal modulations free of regional bias. This technique may be used to explore the downstream effects of modulating neural circuitry at nearly any brain region, with implications for both experimental and clinical DBS.

This protocol describes a standard method for simultaneous functional magnetic resonance imaging and deep brain stimulation in the rodent. The combined use of these experimental tools allows for the exploration of global downstream activity in response to electrical stimulation at virtually any brain target.

La stimulation cérébrale profonde avec simultanée IRMf chez les rongeurs

In order to visualize the global and downstream neuronal responses to deep brain stimulation (DBS) at various targets, we have developed a protocol for ...

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Photoacoustics and high frequency ultrasound stands out as powerful tools for neurobiological applications enabling high-resolution imaging on the central nervous system of small animals. However, transdermal and transcranial neuroimaging is frequently affected by low sensitivity, image aberrations and loss of space resolution, requiring scalp or even skull removal before imaging. To overcome this challenge, a new protocol is presented to gain significant insights in brain hemodynamics by photoacoustic and high-frequency ultrasounds imaging with the animal skin and skull intact. The procedure relies on the passage of ultrasound (US) waves and laser directly through the fissures that are naturally present on the animal cranium. By juxtaposing the imaging transducer device exactly in correspondence to these selected areas where the skull has a reduced thickness or is totally absent, one can acquire high quality deep images and explore internal brain regions that are usually difficult to anatomically or functionally describe without an invasive approach. By applying this experimental procedure, significant data can be collected in both sonic and optoacoustic modalities, enabling to image the parenchymal and the vascular anatomy far below the head surface. Deep brain features such as parenchymal convolutions and fissures separating the lobes were clearly visible. Moreover, the configuration of large and small blood vessels was imaged at several millimeters of depth, and precise information were collected about blood fluxes, vascular stream velocities and the hemoglobin chemical state. This repertoire of data could be crucial in several research contests, ranging from brain vascular disease studies to experimental techniques involving the systemic administration of exogenous chemicals or other objects endowed with imaging contrast enhancement properties. In conclusion, thanks to the presented protocol, the US and PA techniques become an attractive noninvasive performance-competitive means for cortical and internal brain imaging, retaining a significant potential in many neurologic fields.

The present work describes a new protocol to perform non-invasive high-frequency ultrasound and photoacoustic based imaging on rat brain, to efficiently visualize deep subcortical regions and their vascular patterns by directing signals on skull foramina naturally present on animal cranium.

Parenchymateuse, vasculaire et métabolique haute fréquence non-invasive par ultrasons et Photoacoustique Rat imagerie cérébrale profonde

Photoacoustics and high frequency ultrasound stands out as powerful tools for neurobiological applications enabling high-resolution imaging on the central ...

Imaging Serotonergic Fibers in the Mouse Spinal Cord Using the CLARITY/CUBIC Technique

Long descending fibers to the spinal cord are essential for locomotion, pain perception, and other behaviors. The fiber termination pattern in the spinal cord of the majority of these fiber systems have not been thoroughly investigated in any species. Serotonergic fibers, which project to the spinal cord, have been studied in rats and opossums on histological sections and their functional significance has been deduced based on their fiber termination pattern in the spinal cord. With the development of CLARITY and CUBIC techniques, it is possible to investigate this fiber system and its distribution in the spinal cord, which is likely to reveal previously unknown features of serotonergic supraspinal pathways. Here, we provide a detailed protocol for imaging the serotonergic fibers in the mouse spinal cord using the combined CLARITY and CUBIC techniques. The method involves perfusion of a mouse with a hydrogel solution and clarification of the tissue with a combination of clearing reagents. Spinal cord tissue was cleared in just under two weeks, and the subsequent immunofluorescent staining against serotonin was completed in less than ten days. With a multi-photon fluorescent microscope, the tissue was scanned and a 3D image was reconstructed using Osirix software.

Supraspinal projections are important for pain perception and other behaviors, and serotonergic fibers are one of these fiber systems. The present study focused on the application of the combined CLARITY/CUBIC protocol to the mouse spinal cord in order to investigate the termination of these serotonergic fibers.

Imagerie fibres sérotoninergiques dans la moelle épinière de souris Utilisation du CLARITY / Technique CUBIC

Long descending fibers to the spinal cord are essential for locomotion, pain perception, and other behaviors. The fiber termination pattern in the spinal ...

Peering at Brain Polysomes with Atomic Force Microscopy

The translational machinery, i.e., the polysome or polyribosome, is one of the biggest and most complex cytoplasmic machineries in cells. Polysomes, formed by ribosomes, mRNAs, several proteins and non-coding RNAs, represent integrated platforms where translational controls take place. However, while the ribosome has been widely studied, the organization of polysomes is still lacking comprehensive understanding. Thus much effort is required in order to elucidate polysome organization and any novel mechanism of translational control that may be embedded. Atomic force microscopy (AFM) is a type of scanning probe microscopy that allows the acquisition of 3D images at nanoscale resolution. Compared to electron microscopy (EM) techniques, one of the main advantages of AFM is that it can acquire thousands of images both in air and in solution, enabling the sample to be maintained under near physiological conditions without any need for staining and fixing procedures. Here, a detailed protocol for the accurate purification of polysomes from mouse brain and their deposition on mica substrates is described. This protocol enables polysome imaging in air and liquid with AFM and their reconstruction as three-dimensional objects. Complementary to cryo-electron microscopy (cryo-EM), the proposed method can be conveniently used for systematically analyzing polysomes and studying their organization.

While ribosome structure has been extensively characterized, the organization of polysomes is still understudied. To overcome this lack of knowledge, we present here a detailed preparation protocol for accurate imaging of mammalian polysomes by atomic force microscopy (AFM) in air and liquid.

Peering au cerveau polysomes avec Atomic Force Microscopy

The translational machinery, i.e., the polysome or polyribosome, is one of the biggest and most complex cytoplasmic machineries in cells. Polysomes, ...

A Free-breathing fMRI Method to Study Human Olfactory Function

The study of human olfaction is a highly complex and valuable field with applications ranging from biomedical research to clinical evaluation. Currently, evaluation of the functions of the human central olfactory system with functional magnetic resonance imaging (fMRI) is still a challenge because of several technical difficulties. There are some significant variables to take into account when considering an effective method for mapping the function of the central olfactory system using fMRI, including proper odorant selection, the interaction between odor presentation and respiration, and potential anticipation of or habituation to odorants. An event-related, respiration-triggered olfactory fMRI technique can accurately administer odorants to stimulate the olfactory system while minimizing potential interference. It can effectively capture the precise onsets of fMRI signals in the primary olfactory cortex using our data post-processing method. The technique presented here provides an efficient and practical means for generating reliable olfactory fMRI results. Such a technique can ultimately be applied in the clinical realm as a diagnostic tool for diseases associated with olfactory degeneration, including Alzheimer&#39;s and Parkinson&#39;s disease, as we begin to further understand the complexities of the human olfactory system.

We present the technical challenges and solutions for obtaining reliable functional magnetic resonance imaging (fMRI) data from the human central olfactory system. This includes special considerations in olfactory fMRI paradigm design, descriptions of fMRI data acquisition with an MRI-compatible olfactometer, odorant selection, and a special software tool for data post-processing.

Une méthode FMRI à respiration libre pour étudier la fonction olfactive humaine

The study of human olfaction is a highly complex and valuable field with applications ranging from biomedical research to clinical evaluation. Currently, ...

Studying Brain Function in Children Using Magnetoencephalography

Magnetoencephalography (MEG) is a non-invasive neuroimaging technique which directly measures magnetic fields produced by the electrical activity of the human brain. MEG is quiet and less likely to induce claustrophobia compared with magnetic resonance imaging (MRI). It is therefore a promising tool for investigating brain function in young children. However, analysis of MEG data from pediatric populations is often complicated by head movement artefacts which arise as a consequence of the requirement for a spatially-fixed sensor array that is not affixed to the child's head. Minimizing head movements during MEG sessions can be particularly challenging as young children are often unable to remain still during experimental tasks. The protocol presented here aims to reduce head movement artefacts during pediatric MEG scanning. Prior to visiting the MEG laboratory, families are provided with resources that explain the MEG system and the experimental procedures in simple, accessible language. An MEG familiarization session is conducted during which children are acquainted with both the researchers and the MEG procedures. They are then trained to keep their head still whilst lying inside an MEG simulator. To help children feel at ease in the novel MEG environment, all of the procedures are explained through the narrative of a space mission. To minimize head movement due to restlessness, children are trained and assessed using fun and engaging experimental paradigms. In addition, children's residual head movement artefacts are compensated for during the data acquisition session using a real-time head movement tracking system. Implementing these child-friendly procedures is important for improving data quality, minimizing participant attrition rates in longitudinal studies, and ensuring that families have a positive research experience.

This article introduces a child-friendly research protocol designed to improve data quality by reducing head movement during pediatric magnetoencephalography (MEG). We familiarize families with the MEG environment, train children to remain still using an MEG simulator, and correct for residual head movement artefacts using a real-time head movement detection system.

Étudier le fonctionnement du cerveau chez les enfants à l’aide de magnétoencéphalographie

Magnetoencephalography (MEG) is a non-invasive neuroimaging technique which directly measures magnetic fields produced by the electrical activity of the ...