Meeting Banner
Abstract #3975

Is curvature a biomarker for major depressive disorder? A morphological study using 7T MRI

Tara Lago1, Mariella Reynoso1, Yael Jacob2, Judy Alper3, Bradley N Delman4, James Murrough2, Priti Balchandani3, and Gaurav Verma3
1Staten Island Technical High School, New York, NY, United States, 2Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Numerous studies have analyzed morphological measurements to better understand how depression alters the brain, but few studies have explored curvature as a potential biomarker. By analyzing data from 7T MRI scans, we aimed to determine whether curvature measurements can differentiate between MDD patients and controls. We performed generalized linear models to analyze the relationship between participants’ status and measurements for intrinsic curvature index, Gaussian curvature, mean curvature, and folding index in thirty-four brain regions. Six regions showed significantly higher measures of curvature in MDD patients: the inferior temporal, pars triangularis, supramarginal, lateral orbitofrontal, isthmus cingulate, and entorhinal.

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