Radiology Personnel

Tara Madhyastha, Ph.D.

Research Assistant Professor

Biography

My research interest is in development of new methods for quantifying change in functional networks of the brain using neuroimaging. I have an extensive background in modeling of complex systems in computer architecture, cognition and behavior in educational systems, and nonlinear influence in marriage. In the past I have been responsible for multimodal neuroimaging data collection and analysis in the Seattle Longitudinal Study (N~160, data collected at 4 time points). My current emphasis is on characterization of dynamic fluctuations of connectivity within intrinsic networks, and how these fluctuations are affected by age and neurodegenerative disease.

Recent Publications

See all publications on Scopus

Findings of Vascular Brain Injury and Structural Loss from Cranial Magnetic Resonance Imaging in Elderly American Indians: The Strong Heart Study
Suchy-Dicey A., Shibata D., Madhyastha T., Grabowski T., Longstreth W., Buchwald D.
Neuroepidemiology. 2017 Jun:39-47

Total Brain and Hippocampal Volumes and Cognition in Older American Indians: The Strong Heart Study
Cholerton B., Omidpanah A., Madhyastha T., Grabowski T., Suchy-Dicey A., Shibata D., Nelson L., Verney S., Howard B., Longstreth W., Montine T., Buchwald D.
Alzheimer Disease and Associated Disorders. 2017 May:94-100

Empirical comparison of diffusion kurtosis imaging and diffusion basis spectrum imaging using the same acquisition in healthy young adults
Wang S., Peterson D., Wang Y., Wang Q., Grabowski T., Li W., Madhyastha T.
Frontiers in Neurology. 2017 Mar

Evaluation of field map and nonlinear registration methods for correction of susceptibility artifacts in diffusion MRI
Wang S., Peterson D., Gatenby J., Li W., Grabowski T., Madhyastha T.
Frontiers in Neuroinformatics. 2017 Feb

Characterizing cross-subject spatial interaction patterns in functional magnetic resonance imaging studies: A two-stage point-process model
Lee A., Särkkä A., Madhyastha T., Grabowski T.
Biometrical Journal. 2017 Jan

Executive attention networks show altered relationship with default mode network in PD
Boord P., Madhyastha T., Askren M., Grabowski T.
NeuroImage: Clinical. 2017 Jan:1-8

Cranial Magnetic Resonance Imaging in Elderly American Indians: Design, Methods, and Implementation of the Cerebrovascular Disease and Its Consequences in American Indians Study
Suchy-Dicey A., Shibata D., Best L., Verney S., Longstreth, W., Lee E., Okin P., Devereux R., O'Leary M., Ali T., Jensen P., Muller C., Nelson L., Rhoades E., Madhyastha T., Grabowski T., Beauchamp N., Umans J., Buchwald D.
Neuroepidemiology. 2016 Sep:67-75

Using make for reproducible and parallel neuroimaging workflow and quality-assurance
Askren M., McAllister-Day T., Koh N., Mestre Z., Dines J., Korman B., Melhorn S., Peterson D., Peverill M., Qin X., Rane S., Reilly M., Reiter M., Sambrook K., Woelfer K., Grabowski T., Madhyastha T.
Frontiers in Neuroinformatics. 2016 Feb

Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data
Bach B., Shi C., Heulot N., Madhyastha T., Grabowski T., Dragicevic P.
IEEE Transactions on Visualization and Computer Graphics. 2016 Jan:559-568

Cerebral perfusion and cortical thickness indicate cortical involvement in mild Parkinson’s disease
Madhyastha T., Askren M., Boord P., Zhang J., Leverenz J., Grabowski T.
Movement Disorders. 2015 Dec:1893-1900