This proposal aims to support the development of a new "Connectom" diffusion imaging system, designed with advanced gradient technology (300 mT/m gradient set in an advanced 3T instrument), and optimized for the collection of in vivo structural connectivity data from healthy adult humans. Following installation and optimization of this novel system, we will scan normal human subjects, including a number of subjects recruited from the other HCP site, and begin initial development of software to analyze this data and compare, document and disseminate the results obtained against those developed by other connectomics efforts, including the other HCP site. This work will be integral part of the collaborative HCP effort to construct a map of the human connectome that represents the structural and functional connections in vivo within a brain and across individuals. As a result, this work has significant potential to dramatically advance capabilities to measure the human Connectome, by aggressively optimizing non-invasive imaging technology toward Connectome measurements. This effort builds upon existing multidisciplinary collaboration between Massachusetts General Hospital/Harvard Medical School (MGH) and the University of California-Los Angeles (UCLA), and employs a multiple PI leadership approach, providing a rigorous system of leadership, organization, and oversight to this program of bioengineering, optimization and validation that aims to improve the ability of Diffusion Spectrum Imaging (DSI) to map connectivity in the living human brain.
By fostering investigation of human neural connectivity, the new technology developed through this project has potential to improve understanding of the structure and function relationship in the human brain, and therefore, ultimately facilitate advances in the diagnosis and treatment of many psychiatric and neurological diseases.
|Aganj, Iman; Reuter, Martin; Sabuncu, Mert R et al. (2015) Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. Neuroimage 106:238-51|
|Cauley, Stephen F; Xi, Yuanzhe; Bilgic, Berkin et al. (2015) Fast reconstruction for multichannel compressed sensing using a hierarchically semiseparable solver. Magn Reson Med 73:1034-40|
|Eichner, Cornelius; Wald, Lawrence L; Setsompop, Kawin (2014) A low power radiofrequency pulse for simultaneous multislice excitation and refocusing. Magn Reson Med 72:949-58|
|Sabuncu, Mert R; Bernal-Rusiel, Jorge L; Reuter, Martin et al. (2014) Event time analysis of longitudinal neuroimage data. Neuroimage 97:9-18|
|Labus, Jennifer S; Dinov, Ivo D; Jiang, Zhiguo et al. (2014) Irritable bowel syndrome in female patients is associated with alterations in structural brain networks. Pain 155:137-49|
|Li, Junning; Shi, Yonggang; Toga, Arthur W (2014) Diffusion of fiber orientation distribution functions with a rotation-induced riemannian metric. Med Image Comput Comput Assist Interv 17:249-56|
|Cauley, Stephen F; Polimeni, Jonathan R; Bhat, Himanshu et al. (2014) Interslice leakage artifact reduction technique for simultaneous multislice acquisitions. Magn Reson Med 72:93-102|
|Augustinack, Jean C; van der Kouwe, André J W; Salat, David H et al. (2014) H.M.'s contributions to neuroscience: a review and autopsy studies. Hippocampus 24:1267-86|
|Li, Junning; Shi, Yonggang; Toga, Arthur W (2014) ROTATIONAL GRADIENT FIELD FOR INTERPOLATION OF FIBER ORIENTATION DISTRIBUTION IN CONNECTIVITY ANALYSIS. Proc IEEE Int Symp Biomed Imaging 2014:1051-1054|
|Reuter, Martin; Gerstner, Elizabeth R; Rapalino, Otto et al. (2014) Impact of MRI head placement on glioma response assessment. J Neurooncol 118:123-9|
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