Biography and Research Information
OverviewAI-generated summary
Sonya Utecht's research program focuses on the application of meta-analysis techniques to investigate neuroimaging studies. Her recent publication, "An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer" (2025), exemplifies this focus. This work utilizes voxel-based morphometry (VBM) to analyze brain volume alterations associated with chemotherapy in breast cancer patients.
Utecht collaborates with researchers at the University of Arkansas for Medical Sciences, including Ellen van der Plas, Linda Larson‐Prior, Horacio Gómez-Acevedo, and Jonathan P. Bona. These collaborations have resulted in shared publications, indicating a network of engaged researchers within the institution. Utecht is noted as recently active, with her most recent publication in 2025.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
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An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer (2025)
Collaboration Network
Top Collaborators
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
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