Dr. Anastasia Yendiki’s background is in statistical signal and image processing. She received a PhD in Electrical Engineering: Systems from the University of Michigan at Ann Arbor, where she worked on inverse problems in tomographic reconstruction for nuclear imaging under the supervision of Jeff Fessler. As a postdoctoral research fellow at the Athinoula A. Martinos Center for Biomedigal Imaging, Harvard Medical School and Massachusetts General Hospital, she trained in functional and diffusion-weighted MRI. She received an NIH K99/R00 Pathway to Independence award, which led to the development of TRACULA, the diffusion-weighted MRI analysis stream in FreeSurfer, under the supervision of Bruce Fischl. She is now on the faculty at the Martinos Center and a member of the Laboratory for Computational Neuroimaging (LCN), continuing to develop publicly available, open-source algorithms for studying white-matter anatomy in health and disease.
PhD in Electrical Engineering: Systems, University of Michigan at Ann Arbor
1. Haber SN, Lehman J, Maffei C, Yendiki A. The Rostral Zona Incerta: A Subcortical Integrative Hub and Potential Deep Brain Stimulation Target for Obsessive-Compulsive Disorder. Biol Psychiatry. 2023 Jun 1;93(11):1010-1022.
2. Yendiki A, Aggarwal M, Axer M, Howard AFD, van Walsum AVC, Haber SN. Post mortem mapping of connectional anatomy for the validation of diffusion MRI. Neuroimage. 2022 Aug 1;256:119146.
3. Maffei C, Lee C, Planich M, Ramprasad M, Ravi N, Trainor D, Urban Z, Kim M, Jones RJ, Henin A, Hofmann SG, Pizzagalli DA, Auerbach RP, Gabrieli JDE, Whitfield-Gabrieli S, Greve DN, Haber SN, Yendiki A. Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data. Neuroimage. 2021 Dec 15;245:118706.