Abstract #3279

A Preliminary MR g-Ratio–Based Connectome Analysis in Multiple Sclerosis

Koji Kamagata¹, Andrew Zalesky², Kazumasa Yokoyama³, Akifumi Hagiwara⁴, Kouhei Kamiya⁴, Maria Angelique Di Biase², Yuki Takenaka^1,5, Christina Andica¹, Asami Saito¹, Masaaki Hori¹, Keigo Shimoji⁶, Ryusuke Irie¹, Akihiko Wada¹, Nobutaka Hattori³, and Shigeki Aoki¹

¹Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, ²Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, Australia, ³Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan, ⁴Department of Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, ⁵Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo, Japan, ⁶Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system. We propose the use of g-ratio–based connectome for evaluating the network topology of MS since it is reported to be useful in the evaluation of demyelinating lesions in MS. Here, we evaluated the structural connectome of patients with MS, as mapped by MR g-ratio based connectome. The network-based statistic identified a subnetwork of reduced connectivity in patients with MS involving the limbic area. In conclusion, MR g-ratio–based connectome analysis can potentially detect changes in brain topology in MS with high sensitivity.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.