Month: September 2013

September CABI Users Meeting

Once again, we will be holding monthly CABI Users’ Meetings this semester for faculty and students who are performing or are interested in performing MRI research at CABI. We are hoping that these meetings will foster a sense of community at CABI and encourage research collaborations and communication between labs!


We will have a guest speaker, Dr. Longchuan Li who will be giving us a talk on Diffusion Magnetic Resonance Imaging and Its Applications in Comparative Neuroscience and Neuropsychiatric Disorders”. I think this will be a wonderful opportunity to learn more about DTI data analysis from a local expert. In addition, I will introduce a new feature I recently programed, real-time head motion tracking system during fMRI scan. All CABI users are encouraged to attend! Snacks and coffee will be provided.

Thursday, September 26, 2013

10am – 11pm
CABI Conference Room


Longchuan Li, Ph.D
Assistant Professor of Pediatrics
Marcus Autism Center
Department of Pediatrics, Emory University School of Medicine

Biomedical Imaging Technology Center
Department of Biomedical Engineering, Emory University School of Medicine


Diffusion Magnetic Resonance Imaging and Its Applications in Comparative Neuroscience and Neuropsychiatric Disorders”

Due to its non-invasive nature and ease to measure, diffusion MRI has been proven a powerful tool for studying white matter integrity and connectivity of the brain and has numerous applications in neuroscientific and clinical settings. In this presentation, the basic concepts of diffusion MRI, tractography and its applications in comparative neuroscience and neuropsychiatric disorders such as prenatal alcohol syndrome and autism will be summarized. Moreover, since brain function arises from a network rather than from individual brain regions and many brain disorders have been considered as under (over-) connectivity syndromes, the network approach on studying brain diseases, i.e., modeling anatomical brain networks using diffusion tractography and analyzing the reconstructed networks based on graph theory, will also be introduced and discussed.

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