Hannah Gura
Papers
1
Total Citations
3
H-Index
1
About
Dr. Hannah Gura is a cognitive neuroscientist whose research lies at the intersection of numerical cognition, executive function, and non-invasive brain stimulation. Her work focuses on how the brain resolves conflict between competing numerical and spatial information, particularly using the numerical Stroop task. In her most prominent study, "Lessons learned from an fMRI-guided rTMS study on performance in a numerical Stroop task" (2024), Dr. Gura demonstrated how repetitive transcranial magnetic stimulation (rTMS) targeted at the intraparietal sulcus (IPS) can modulate performance in this classic interference paradigm. By combining functional neuroimaging with causal brain stimulation, she provided critical insights into the neural mechanisms underlying numerical decision-making and cognitive control. Though early in her career, her work has already garnered attention for its methodological rigor, bridging fMRI localization with targeted neuromodulation. Dr. Gura’s contributions are particularly valuable for understanding how parietal circuits support the resolution of conflicting visual categories—a process fundamental to both basic numerical cognition and higher-order reasoning. Her research holds promise for developing targeted interventions in populations with numerical processing difficulties.
Research Focus
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Top Papers
- 1