Muriah Wheelock, PhD

Assistant Professor
Radiology

Neurosciences Program
Computational and Systems Biology Program
Biomedical Informatics and Data Science Program

  • 314-747-5688

  • mdwheelock@wustl.edu

  • Elucidating the biological pathways underlying cognition, emotion, and behavior, determining developmental deviations and degenerative processes in these pathways

Research Abstract:

My research program focuses on elucidating the biological pathways underlying cognition, emotion, and
behavior, determining developmental deviations and degenerative processes in these pathways, and ultimately
predicting onset and informing early intervention in neurological and psychiatric disorders. In order to understand
the brain mechanisms underlying cognition and emotion, my research program focuses on brain-behavior
analyses leveraging a variety of brain data formats and analysis tools. Specifically, I have used both task and
resting state fMRI as well as diffusion tensor imaging to understand brain-behavior relationships. Despite
substantial progress over the last twenty years to use MRI to determine the relationship between brain network
connectivity and behavior, reproducibility and reliability of these findings has become an increasing concern and
standard univariate voxel-wise control of false positive rates has received criticism. To address these challenges,
my program of research proposes to focus on:

-- Whole brain multi-modal connectome data and leveraging the inherent network organization of brain
structures
-- Advancing image analysis methodology to ensure sensitivity, specificity, and reliability in human
connectome data
-- Using large datasets for detecting normal and abnormal variability in brain function across the lifespan in
the population and in disease

My research program spans cognitive psychology, behavioral neuroscience, clinical populations, and methods
development. This breadth of research program is critical to a comprehensive and methodologically sound
understanding of disorders of the mind and translation of novel analysis techniques and insights across domains.

Selected Publications:

Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds
Kardan, O., Kaplan, S., Wheelock, M.D., Feczko, E., Day, T.K.M., Miranda-Dominguez, O., Meyer, D., Eggebrecht, A.T., Moore, L.A., Sung, S., Chamberlain, T.A., Earl, E., Snider, K., Graham, A., Berman, M.G., Ugurbil, K., Yacoub, E., Elison, J.T., Smyser, C.D., Fair, D.A., Rosenberg, M.D., Aug 1 2022, In: Developmental Cognitive Neuroscience. 56, 101123.

Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations
Kaplan, S., Meyer, D., Miranda-Dominguez, O., Perrone, A., Earl, E., Alexopoulos, D., Barch, D. M., Day, T. K. M., Dust, J., Eggebrecht, A. T., Feczko, E., Kardan, O., Kenley, J. K., Rogers, C. E., Wheelock, M. D., Yacoub, E., Rosenberg, M., Elison, J. T., Fair, D. A. & Smyser, C. D., Feb 15 2022, In: NeuroImage. 247, 118838.

Associations of observed preschool performance monitoring with brain functional connectivity in adolescence
Gilbert, K. E., Wheelock, M. D., Kandala, S., Eggebrecht, A. T., Luby, J. L. & Barch, D. M., Sep 2021, In: Cortex. 142, p. 15-27

Functional Connectivity Network Disruption Underlies Domain-Specific Impairments in Attention for Children Born Very Preterm
Wheelock, M. D., Lean, R. E., Bora, S., Melzer, T. R., Eggebrecht, A. T., Smyser, C. D. & Woodward, L. J., Feb 1 2021, In: Cerebral Cortex. 31, 2, p. 1383-1394

Sex-related Differences in Stress Reactivity and Cingulum White Matter
Wheelock, M. D., Goodman, A. M., Harnett, N. G., Wood, K. H., Mrug, S., Granger, D. A. & Knight, D. C., Apr 1 2021, In: Neuroscience. 459, p. 118-128

Stress-elicited neural activity in young adults varies with childhood sexual abuse
Purcell, J. B., Goodman, A. M., Harnett, N. G., Davis, E. S., Wheelock, M. D., Mrug, S., Elliott, M. N., Emery, S. T., Schuster, M. A. & Knight, D. C., Apr 2021, In: Cortex. 137, p. 108-123

Last Updated: 11/7/2022 2:51:12 PM

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