Meeting Banner
Abstract #1082

Chronic mild stress induces changes in neurite density in the amygdala as revealed by diffusion MRI and validated with novel histological analyses

Ahmad Raza Khan1, Andery Chuhutin1, Ove Wiborg2, Christopher D Kroenke3, Jens R Nyengaard4, Brian Hansen1, and Sune Nørhøj Jespersen1,5

1Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark, 2Centre for Psychiatric Research, Aarhus University, Aarhus, Denmark, 3Advanced Imaging Research Center, Portland, OR, United States, 4Stereology and Electron Microscopy Laboratory, Aarhus University, Aarhus, Denmark, 5Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark

Biophysical modelling of diffusion MRI data allows detection of specific tissue microstructures such as neurite density. However, histological validation of MR-derived indication of microstructural alteration is limited due extensive time labour and invasive character, even though histological validation is crucial because it remains the gold standard. The present study applies Matlab based image processing and analysis tools to compute histological neurite density to validate diffusion MRI based neurite density changes in the amygdala of chronic mild stress rat brains. The image processing and analyses provides novel tools to validate diffusion data robustly.

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.

Keywords