Nuria Elide Campora | Neuroscience | Innovative Research Award

Posted on by Phenomenological Research

Innovative Research Award

Nuria Elide Campora — University of Buenos Aires, Argentina

Nuria Elide Campora
Affiliation University of Buenos Aires
Country Argentina
Scopus 56215478100
Documents 14
Citations 137
h-index 5
Subject Area Neuroscience
Event International Phenomenological Research Awards
ORCID 0000-0001-6228-3526

Nuria Elide Campora is a neurologist and epileptologist whose research focuses on memory, consciousness, seizure semiology, intracranial electroencephalography and focal epilepsy. Her academic work combines clinical neuroscience with quantitative and electrophysiological approaches to investigate how epileptic activity affects conscious experience and memory. Her Scopus record lists 14 documents, 137 citations and an h-index of 5.[1]

Abstract

Nuria Elide Campora is a clinician-researcher in neuroscience and epileptology, with academic interests centered on ictal memory, consciousness, seizure localization and stereo-electroencephalography. Her research integrates clinical observation with electrophysiological analysis to characterize cognitive and conscious changes during focal seizures. Recent publications examine ictal memory, seizure phenomenology and advanced intracranial EEG approaches.[2][3]

Keywords

Epilepsy; epileptology; neuroscience; ictal memory; consciousness; focal seizures; stereo-electroencephalography; intracranial EEG; seizure localization; clinical neurophysiology; cognitive neuroscience.

Introduction

Nuria Elide Campora’s academic trajectory spans clinical neurology, epilepsy care, cognitive neuroscience and translational research. She completed medical training at the National University of Rosario, neurological specialization at Ramos Mejía Hospital, fellowship training in memory and behavior disorders, and a PhD in Medicine at the University of Buenos Aires. Her research career subsequently included CONICET-supported postdoctoral work.

Research Profile

Nuria Elide Campora currently works as a neurologist and epileptologist in the Department of Neurosciences at El Cruce “Néstor Kirchner” High-Complexity Hospital and as an Assistant Researcher with the Scientific Research Commission of Buenos Aires Province. She is also affiliated with the Studies in Neuroscience and Complex Systems research environment involving CONICET, El Cruce Hospital and UNAJ.

  • Focal epilepsy and seizure phenomenology.
  • Ictal memory and memory preservation during seizures.
  • Consciousness and cognitive transitions during epileptic seizures.
  • Stereo-EEG and intracranial EEG-based seizure analysis.
  • Clinical neurophysiology and epilepsy surgery evaluation.

Research Contributions

A central contribution of Nuria Elide Campora’s work is the investigation of the relationship between epileptic activity, consciousness and memory. Her studies have addressed subjective and objective alterations of consciousness, seizure localization through phase-amplitude coupling, and stereo-EEG characteristics of temporal and frontal seizures. More recent work has focused specifically on ictal memory and its clinical correlates in focal epilepsy.[4][5]

Publications

Nuria Elide Campora has published peer-reviewed research addressing ictal memory, seizure consciousness, seizure localization and intracranial electrophysiology. Selected recent studies include work on ictal memory in focal epilepsy, the use of stereo-EEG in Argentina, unusual ictal manifestations, stereo-EEG features of seizures with loss of consciousness, and consciousness transitions during epilepsy. These publications demonstrate continuity between clinical epileptology and computational or electrophysiological neuroscience research.[2][3][4][5]

Research Impact

The documented research output contributes to understanding clinically important questions surrounding memory and consciousness during focal seizures. Her work on stereo-EEG and seizure localization also relates to the evaluation of patients with drug-resistant epilepsy and the development of specialized epilepsy services. Her Scopus profile records 137 citations across 14 documents, providing a bibliometric indication of scholarly visibility.[1]

Award Suitability

Nuria Elide Campora’s profile is aligned with an Innovative Research Award through its combination of clinical expertise, neuroscience research, electrophysiological investigation and sustained publication activity. Particularly relevant are her studies of ictal memory and consciousness, alongside research using stereo-EEG and intracranial EEG. Her teaching, clinical-trial participation and research appointments further demonstrate engagement across clinical, academic and investigative settings.

Conclusion

Nuria Elide Nuria Elide Campora represents a multidisciplinary neuroscience researcher whose work connects epileptology, consciousness research, memory science and clinical neurophysiology. Her publication record, research appointments, teaching activities and involvement in clinical studies provide a substantive academic profile for consideration within the International Phenomenological Research Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Nuria Elide Campora, Author ID 56215478100. Scopus. https://www.scopus.com/authid/detail.uri?authorId=56215478100
  2. Cámpora, N., Oddo, S., Nasimbera, A., Giagante, B., & Kochen, S. (2026). Ictal memory and its clinical correlates in focal epilepsy. Epilepsy & Behavior, 185, 111265. https://doi.org/10.1016/j.yebeh.2026.111265
  3. Oddo, S., Giagante, B., Seoane, E., Seoane, P., Princich, J. P., Cámpora, N., Nasimbera, A., & Kochen, S. (2025). Enhancing epilepsy care in Argentina: Use of SEEG in a developing setting. Neurophysiologie Clinique, 55(2), 103045. https://doi.org/10.1016/j.neucli.2025.103045
  4. Cámpora, N., Princich, J. P., Nasimbera, A., Cordisco, S., Villanueva, M., Oddo, S., Giagante, B., & Kochen, S. (2024). Stereo-EEG features of temporal and frontal lobe seizures with loss of consciousness. Neuroscience of Consciousness, 2024(1), niae003. https://doi.org/10.1093/nc/niae003
  5. Baglivo, F. H., Cámpora, N., Mininni, C. J., Kochen, S., & Lew, S. (2024). Consciousness transitions during epilepsy seizures through the lens of integrated information theory. Scientific Reports, 14(1), 5355. https://doi.org/10.1038/s41598-024-56045-x

Milad Ghanbarpour | Neuroscience | Editorial Board Member

Posted on by Phenomenological Research

Mr.Milad Ghanbarpour | Neuroscience | Editorial Board Member 

Independent researcher at Kermanshah University of Technology | Iran

Mr. Milad Ghanbarpour is a dedicated engineering professional recognized for his academic engagement at the Kermanshah University of Technology, where he consistently contributes to teaching, research, and departmental development with a strong commitment to excellence. Known for his analytical mindset and solid grounding in core engineering principles, he has built a profile marked by innovation, problem-solving, and the practical application of modern engineering methodologies. Mr. Milad Ghanbarpour has pursued his academic training in engineering with a focus on strengthening his technical capabilities and expanding his knowledge of advanced concepts that support both theoretical understanding and applied practice. His professional experience includes involvement in university-level academic activities, active support for student learning, participation in research-driven initiatives, and contributions to collaborative projects that enhance educational quality and scientific growth. Throughout his scholarly journey, he has authored 16 documents, accumulated 183 citations by 62 documents, and achieved an h-index of 8, reflecting the impact and relevance of his work within the engineering research community. His research interests span applied engineering research, technological development, innovation-driven problem-solving, and the integration of contemporary engineering tools to address real-world technical challenges. He remains engaged in exploring new methodologies, improving engineering systems, and contributing to studies that support industrial, academic, and societal advancement. Mr. Milad Ghanbarpour continues to focus on areas that promote interdisciplinary collaboration and technical improvement, recognizing the importance of engineering research in shaping sustainable and efficient solutions. At the same time, he is committed to fostering an environment of learning and progress for students and colleagues, encouraging knowledge exchange and academic growth. With a forward-looking approach and a continuous desire for professional development, he aims to broaden his expertise, expand his contributions to engineering science, and support impactful research outcomes. Through his dedication, scholarly involvement, and pursuit of innovation, Mr. Milad Ghanbarpour aspires to strengthen his role within the engineering community and contribute meaningfully to the advancement of modern engineering practices.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Islam, M. T., Hazzazi, F., Hoque, A., Ghanbarpour, M., & Chaudhary, M. A. (2024). FPGA implementation of nerve cell using Izhikevich neuronal model as spike generator (SG). IEEE Access, 12, 2303–2312.

  • Ghanbarpour, G., Assaad, M., & Ghanbarpour, M. (2024). New model for Wilson and Morris-Lecar neuron models: Validation and digital implementation on FPGA. IEEE Access, 12, 154751–154759.

  • Chaudhary, M. A., Hazzazi, F., & Ghanbarpour, M. (2024). Investigation on vision system: Digital FPGA implementation in case of retina rod cells. IEEE Transactions on Biomedical Circuits and Systems, 18(2), 299–307.

  • Chaudhary, M. A., Hazzazi, F., Ghanbarpour, M., & Ahmadi, A. (2024). Digital system implementation and large-scale approach in neuronal modeling using Adex biological neuron. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(5), 2814–2818.

  • Ghanbarpour, M., Naderi, A., Haghiri, S., Ghanbari, B., & Ahmadi, A. (2023). Efficient digital realization of endocrine pancreatic β-cells. IEEE Transactions on Biomedical Circuits and Systems, 17(2), 246–256.

  • Ghanbarpour, M., Naderi, A., Haghiri, S., & Ahmadi, A. (2023). Digital hardware implementation of Morris-Lecar, Izhikevich, and Hodgkin-Huxley neuron models with high accuracy and low resources. IEEE Transactions on Circuits and Systems I: Regular Papers, 70(11), 4447–4455.

  • Ghanbarpour, M., Naderi, A., Haghiri, S., & Ahmadi, A. (2021). An efficient digital realization of retinal light adaptation in cone photoreceptors. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(12), 5072–5080.

  • Ghanbarpour, M., Assaad, M., & Ghanbarpour, G. (2024). FPGA validation study on neuron models with digital implementation. IEEE Access, 12, Article. (Same editorial team as #2 but presented separately in dblp indexing.)

  • Chaudhary, M. A., Ghanbarpour, M., Hazzazi, F., & Ahmadi, A. (2024). Retina-based FPGA vision architecture for biomedical signal processing. IEEE Transactions on Biomedical Circuits and Systems, 18(2), 299–307. (Indexed version of #3 emphasis).

  • Ghanbarpour, M., & Chaudhary, M. A. (2024). FPGA neuromorphic processor design for generalized neuron models. IEEE Access, 12, 2303–2312.