Tara M. Madhyastha

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 10

Top Topics

Functional Connectivity

Granger Causality

Clustering Procedure

Temporal Evolution

Top Venues

Frontiers Neuroinformatics

Publications

John C. Flournoy, Nessa V. Bryce, Meg Dennison, Alexandra M. Rodman, Elizabeth A. McNeilly, Lucy A. Lurie, Debbie Bitran, Azure Reid-Russell, Constanza M. Vidal Bustamante, Tara M. Madhyastha, Katie A. McLaughlin
A precision neuroscience approach to estimating reliability of neural responses during emotion processing: Implications for task-fMRI. NeuroImage 285 (2024)
Micah Ketola, Andrea Stocco, Shelby Thompson, Tara M. Madhyastha, Thomas J. Grabowski
Applying the Common Model of Cognition to Resting-State fMRI Leads to the Identification of Abnormal Functional Connectivity in Parkinson's Disease. CogSci (2020)
Trevor K. McAllister-Day, Tara M. Madhyastha, Adél Lee, Cyrus P. Zabetian, Thomas J. Montine, Thomas J. Grabowski
Effect of Dopaminergic Medications on Blood Oxygen Level-Dependent Variability and Functional Connectivity in Parkinson's Disease and Healthy Aging. Brain Connect. 9 (7) (2019)
Kaitlyn Casimo, Tara M. Madhyastha, Andrew L. Ko, Alainna B. Brown, Fabio Grassia, Jeffrey G. Ojemann, Kurt E. Weaver
Spontaneous Variation in Electrocorticographic Resting-State Connectivity. Brain Connect. 9 (6) (2019)
Trevor K. McAllister-Day, Tara M. Madhyastha, Mary K. Askren, Peter Boord, Thomas J. Montine, Thomas J. Grabowski
Attention Network Test fMRI data for participants with Parkinson's disease and healthy elderly. F1000Research 8 (2019)
Kin Ming Puk, Wei Xiang, Shouyi Wang, Cao (Danica) Xiao, W. Art Chaovalitwongse, Tara M. Madhyastha, Thomas J. Grabowski
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso. BI (2018)
Tara M. Madhyastha, Natalie Koh, Trevor K. McAllister-Day, Moisés Hernández-Fernández, Austin Kelley, Daniel J. Peterson, Sabreena Rajan, Karl A. Woelfer, Jonathan Wolf, Thomas J. Grabowski
Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost? Frontiers Neuroinformatics 11 (2017)
Sijia Wang, Daniel J. Peterson, J. Christopher Gatenby, Wenbin Li, Thomas J. Grabowski, Tara M. Madhyastha
Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI. Frontiers Neuroinformatics 11 (2017)
Benjamin Bach, Conglei Shi, Nicolas Heulot, Tara M. Madhyastha, Thomas J. Grabowski, Pierre Dragicevic
Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Mary K. Askren, Trevor K. McAllister-Day, Natalie Koh, Zoé Mestre, Jennifer N. Dines, Benjamin A. Korman, Susan J. Melhorn, Daniel J. Peterson, Matthew Peverill, Xiaoyan Qin, Swati D. Rane, Melissa A. Reilly, Maya A. Reiter, Kelly A. Sambrook, Karl A. Woelfer, Thomas J. Grabowski, Tara M. Madhyastha
Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Frontiers Neuroinformatics 10 (2016)
Franziskus Liem, Susan Mérillat, Ladina Bezzola, Sarah Hirsiger, Michel Philipp, Tara M. Madhyastha, Lutz Jäncke
Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly. NeuroImage 108 (2015)
Chris Gaiteri, Mingming Chen, Boleslaw K. Szymanski, Konstantin Kuzmin, Jierui Xie, Changkyu Lee, Timothy Blanche, Elias Chaibub Neto, Su-Chun Huang, Thomas J. Grabowski, Tara M. Madhyastha, Vitalina Komashko
Identifying robust clusters and multi-community nodes by combining top-down and bottom-up approaches to clustering. CoRR (2015)
Tara M. Madhyastha, Mary K. Askren, Peter Boord, Thomas J. Grabowski
Dynamic Connectivity at Rest Predicts Attention Task Performance. Brain Connect. 5 (1) (2015)
Benjamin Bach, Nathalie Henry Riche, Tim Dwyer, Tara M. Madhyastha, Jean-Daniel Fekete, Thomas J. Grabowski
Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks. Comput. Graph. Forum 34 (3) (2015)
Nathalie Henry Riche, Yann Riche, Nicolas Roussel, Sheelagh Carpendale, Tara M. Madhyastha, Thomas J. Grabowski
LinkWave: a visual adjacency list for dynamic weighted networks. IHM (2014)
Tara M. Madhyastha, Thomas J. Grabowski
Age-Related Differences in the Dynamic Architecture of Intrinsic Networks. Brain Connect. 4 (4) (2014)
Weiwei Cui, Xiting Wang, Shixia Liu, Nathalie Henry Riche, Tara M. Madhyastha, Kwan-Liu Ma, Baining Guo
Let It Flow: A Static Method for Exploring Dynamic Graphs. PacificVis (2014)
Hui Yang, O. Erhun Kundakcioglu, Jing Li, Teresa Wu, Joseph Ross Mitchell, Amy K. Hara, William Pavlicek, Leland S. Hu, Alvin C. Silva, Christine M. Zwart, Sait Tunc, Oguzhan Alagöz, Elizabeth S. Burnside, W. Art Chaovalitwongse, Georgiy Presnyakov, Yulian Cao, Sirirat Sujitnapitsatham, Daehan Won, Tara M. Madhyastha, Kurt E. Weaver, Paul R. Borghesani, Thomas J. Grabowski, Lianjie Shu, Man Ho Ling, Shui Yee Wong, Kwok-Leung Tsui
Healthcare Intelligence: Turning Data into Knowledge. IEEE Intell. Syst. 29 (3) (2014)
Kathleen Scalise, Tara M. Madhyastha, Jim Minstrell, Mark R. Wilson
Improving assessment evidence in e-learning products: some solutions for reliability. Int. J. Learn. Technol. 5 (2) (2010)
Tara M. Madhyastha, Steven L. Tanimoto
Student Consistency and Implications for Feedback in Online Assessment Systems. EDM (2009)
Bo Hong, Tara M. Madhyastha, B. Zhang
Cluster-based input/output trace synthesis. IPCCC (2005)
Jessica Masters, Tara M. Madhyastha, Ali Shakouri
Educational Applets for active learning in properties of electronic materials. IEEE Trans. Educ. 48 (1) (2005)
Bo Hong, Tara M. Madhyastha
The Relevance of Long-Range Dependence in Disk Traffic and Implications for Trace Synthesis. MSST (2005)
Ivan Dramaliev, Tara M. Madhyastha
Optimizing Probe-Based Storage. FAST (2003)
Preethy Vaidyanathan, Tara M. Madhyastha
Dynamic Replication to Improve Input/Output Scalability of Genomic Alignment. CLADE (2003)
Tara M. Madhyastha, Daniel A. Reed
Learning to Classify Parallel Input/Output Access Patterns. IEEE Trans. Parallel Distributed Syst. 13 (8) (2002)
Miriam Sivan-Zimet, Tara M. Madhyastha
Workload based optimization of probe-based storage. SIGMETRICS (2002)
Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou, Christos Faloutsos, Tara M. Madhyastha
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic. ICDE (2002)
Tara M. Madhyastha, Katherine Pu Yangy
Physical Modeling of Probe-Based Storage. MSS (2001)
Tara M. Madhyastha, Garth A. Gibson, Christos Faloutsos
Informed Prefetching of Collective Input/Output Requests. SC (1999)
Tara M. Madhyastha, Daniel A. Reed
Exploiting Global Input Output Access Pattern Classification. SC (1997)
Tara M. Madhyastha, Daniel A. Reed
Input/Output Access Pattern Classification Using Hidden Markov Models. IOPADS (1997)
Daniel A. Reed, Tara M. Madhyastha, Ruth A. Aydt, Christopher L. Elford, Will H. Scullin, Evgenia Smirni
I/O, Performance Analysis, and Performance Data Immersion. MASCOTS (1996)
Daniel A. Reed, Christopher L. Elford, Tara M. Madhyastha, Evgenia Smirni, Stephen E. Lamm
The Next Frontier: Interactive and Closed Loop Performance Steering. ICPP Workshop (1996)
Tara M. Madhyastha, Daniel A. Reed
Data Sonification: Do You See What I Hear? IEEE Softw. 12 (2) (1995)