Biography and Research Information
OverviewAI-generated summary
Sonya Utecht's research focuses on the application of meta-analysis techniques to neuroimaging studies, particularly in the area of chemotherapy-related cognitive changes in breast cancer patients. Her recent publication in 2025 utilized activation likelihood estimation and voxel-based morphometry to analyze existing studies on brain volume alterations associated with chemotherapy. Utecht's work involves collaboration 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, with whom she has co-authored publications. Her academic profile includes an h-index of 1 and a total of two publications with one citation.
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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