Mayo Clinic
Neurology and Neurosurgery
Dr. Rodolfo G. Gatto is a Research Fellow at the Department of Neurology in Mayo Clinic at Rochester, working under the supervision of Drs. Keith Josephs and Jennifer Whitwell. He holds an MD degree from the University of the Republic in Montevideo, Uruguay. His initial medical research experience started as a Visiting Research Scientist in the Departments of Neurosurgery and Psychiatry at the University of Illinois at Chicago (UIC). He was later employed at the Jesse Brown VA Medical Center as a Research Scientist in the R&D Division. After earning his Ph.D.in Biomedical Engineering and Bioimaging at UIC, he completed postdoctoral training at the Departments of Anatomy and Molecular Cell Biology & Biomedical Engineering where he performed extensive work in preclinical models of neurodegenerative diseases, combining bioimaging methods, as well as different diffusion MRI techniques. His current research involves the study of early neuroimaging biomarkers of histopathology in neurodegenerative diseases. His current study aims to link histopathological molecular markers and imaging techniques, particularly utilizing connectomics and structural brain networks. Collectively, the results from his studies attempt to demonstrate the applicability of novel multi-imaging technologies and computational approaches that could accelerate the discovery of treatments for these diseases.

Presenter of 1 Presentation

EXAMINATION OF WHITE MATTER TRACTS IN PROGRESSIVE SUPRANUCLEAR PALSY VARIANTS BY DIFFUSION TENSOR IMAGING PARAMETERS, CONNECTOMICS, AND BRAIN NETWORK ANALYTICS.

Session Type
SYMPOSIUM
Date
Thu, 17.03.2022
Session Time
02:45 PM - 04:30 PM
Room
ONSITE: 133-134
Lecture Time
03:45 PM - 04:00 PM

Abstract

Aims

We aimed to apply different diffusion MRI (dMRI) techniques to characterize specific changes in white matter (WM) tracts from patients with progressive supranuclear palsy (PSP). We hypothesized that microstructural, connectomics, and network techniques, representing the superior cerebellar peduncle (SCP) and dentatorubrothalamic tract (DRTT) fibers, can differentiate autopsy-confirmed PSP Richardson’s syndrome (PSP-RS) and PSP with predominant speech and language disorder (PSP-SL).

Methods

Twenty-two autopsy-confirmed patients with PSP (12 PSP-RS and 10 PSP-SL) had undergone antemortem 3T head MRI, including diffusion tensor imaging (DTI). Deterministic tractography was used to identify the SCP and DRTT in each patient and fractional anisotropy (FA) and mean diffusivity (MD) were calculated for each tract. A hierarchical linear statistical model analysis was applied to the DTI dataset. Mean connectivity matrix strength was analyzed using Spearman’s correlation coefficients. Graph theory-based global and local network metrics such as network efficiency and small-wordness were also studied.

Results

Greater MD in SCP, as well as lower FA in DRTT fibers, was observed in PSP-RS compared to PSP-SL. DRTT connectivity analysis showed a greater decrease in general connectivity strength and infra-thalamic network circuitry in PSP-RS compared to PSP-SL. While both PSP subtypes showed similar reductions in network complexity measured as small-worldness, lower global network density and efficiency were seen in PSP-RS.

Conclusions

Our outcomes demonstrate that is possible to increase diagnostic discrimination between PSP subtypes by combining diverse structural dMRI techniques. These findings could help physicians improve the assessment and follow-up in this patient population.

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