Melanie Segado

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About

Melanie Segado is a researcher at the forefront of cognitive neuroscience and human-computer interaction, with a focus on aging, attention, and neurorehabilitation. Her work bridges the gap between traditional cognitive training and immersive technology, aiming to enhance real-world cognitive function in older adults. In her highly cited 2020 study, "BMI-VR based Cognitive Training improves Attention Switching Processing Speed," Segado demonstrated that combining brain-machine interfaces with virtual reality can significantly improve attention-switching and processing speed—key cognitive domains often compromised in aging. This research addresses a critical limitation of conventional computer-based training: its lack of ecological validity. By integrating VR and neurofeedback, Segado’s approach offers a more engaging and transferable method for cognitive enhancement. Her contributions are particularly impactful given the pressing global challenge of age-related cognitive decline and dementia. With her work accumulating citations and influencing the design of next-generation cognitive interventions, Segado is shaping how we think about preserving mental agility in later life. Her innovative use of BMI-VR platforms marks her as a rising leader in applied cognitive science and neurotechnology.