Zeynab Rezaee

Papers

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About

Zeynab Rezaee’s research lies at the intersection of cognitive neuroscience and non-invasive brain stimulation, with a focus on numerical cognition and executive function. Her most cited work, “Lessons learned from an fMRI-guided rTMS study on performance in a numerical Stroop task,” demonstrates her innovative approach to combining functional neuroimaging with repetitive transcranial magnetic stimulation (rTMS) to probe the causal role of the intraparietal sulcus (IPS) in numerical decision-making. By using fMRI to precisely target rTMS, she has advanced our understanding of how parietal structures mediate interference resolution in numerical contexts—a contribution that bridges basic cognitive science and clinical applications. Though early in her career, her work has already garnered attention for its methodological rigor, showing how multimodal brain mapping can refine neuromodulation protocols. Rezaee’s research holds promise for developing targeted interventions for individuals with numerical processing deficits, such as dyscalculia, and her findings on the IPS’s role in Stroop-like tasks have implications for broader theories of cognitive control. Her growing citation record reflects the field’s recognition of her careful, hypothesis-driven experimental design.