The University of Texas at Dallas School of Behavioral and Brain Sciences

Ana J. Solodkin

Professor

Research Interests

Biomarkers of Neurological disease via Neuroinformatics

Contact

Email: [email protected]
Phone: 972-883-8830
Office: BSB_13.609

Biography

Dr Solodkin’s academic career has been centered in neuropathological mechanisms in humans associated with Neurological disease with a special emphasis on neurodegeneration (Alzheimer’s disease and spinocerebellar ataxias) and ischemic stroke. As such, she has been able to explore anatomical correlates of these diseases from basic anatomy to assessment of connectivity based on MR acquisitions. More importantly, since its beginning, she has been an active partner of TheVirtualBrain consortium. TheVirtualBrain (TVB) is an open-source whole-brain simulation platform that integrates empirical data of different modalities and spatiotemporal scales to construct comprehensive and biologically plausible models of brain network dynamics (http://www.thevirtualbrain.org/). Simplifying, TVB simulates mathematically driven brain activity on the three-dimensional map of an individual brain and its connections to fit empirically measured brain signals (ex., EEG, MEG and fMRI). By the systematic exploration of the relation between structural anatomical tracts and biophysical parameters producing the dynamics, (spatio-temporal characterizations), TVB allows the construction of the individual’s brain model within a unifying framework. One of the defining features of TVB is that it builds a unique Virtual Brain for each subject based on his/her own neuroimaging within a plausible anatomical framework that we use as a step for the development of personalized medicine.

At UT Dallas she is conducting development and research with the TVB platform in neurodegeneration with the idea to determine biophysical parameters that can be used as biomarkers for early detection of Alzheimer’s disease before the surge of clinical manifestations. That is, she uses TVB to evaluate the clinical potential of therapeutic interventions in pre-clinical stages, thus helping to ensure that such efforts converge on targets that could lead to promising outcomes.

Recent and Selected Representative Publications

Recent Articles in Peer-Refereed Journals

Falcon MI, Jirsa V, Solodkin A. A new neuroinformatics approach to personalized medicine in neurology: The Virtual Brain. Curr Opin Neurol. 2016;29(4):429-36.

Kruggel F, Solodkin A. Determinants of structural segregation and patterning in the human cortex. Neuroimage. 2019;196:248-60.

Riley JD, Chen EE, Winsell J, Davis EP, Glynn LM, Baram TZ, et al. Network specialization during adolescence: Hippocampal effective connectivity in boys and girls. Neuroimage. 2018;175:402-12.

Stefanovski L, Triebkorn P, Spiegler A, Diaz-Cortes MA, Solodkin A, Jirsa V, et al. Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer’s Disease. Frontiers in computational neuroscience. 2019;13:54.

Zimmermann J, Perry A, Breakspear M, Schirner M, Sachdev P, Wen W, et al. Differentiation of Alzheimer’s disease based on local and global parameters in personalized Virtual Brain models. Neuroimage Clin. 2018;19:240-51.