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Statistical Analysis and Data Modeling for Evoked Potential (Evo) Database Administration

Client: Dr. Pegah Afra and Dr. John Funke
Industry: Medical Research and Neurophysiology
Project Duration: [Insert duration]
Role: Statistical Analyst and Data Modeler

Background

Dr. Pegah Afra and Dr. John Funke, both leading experts in the field of magnetoencephalography (MEG) and evoked potentials, were conducting research to enhance the understanding of neural processing and sensory integration. Their work required a sophisticated approach to statistical analysis and data modeling to manage large datasets and uncover patterns in neural responses.

Challenge

Large and complex dataset from evoked potential (Evo) studies required advanced statistical methods for accurate interpretation.
The existing database infrastructure lacked the capacity to efficiently handle the volume and complexity of the data.
Insights from the data needed to be actionable, facilitating more precise analysis of neural activity

Solution

Statistical Modeling: Developed customized statistical models to analyze patterns and relationships within the Evo data.
Database Optimization: Streamlined the Evo database to improve data processing speed and accuracy.
Data Integration: Integrated MEG and evoked potential data into a cohesive framework for more consistent analysis.
Automated Reporting: Established automated reporting functions to generate insights and visualize trends in neural activity.

Outcome

Improved processing time for data analysis
Increased accuracy and consistency in identifying neural response patterns
Delivered actionable insights that supported more precise research conclusions
Established a scalable data framework that supported future research and data expansion

Impact

This project not only enhanced the efficiency and accuracy of the research process but also positioned the Evo database as a key asset for future neurophysiological studies. The refined statistical models and data infrastructure allowed Dr. Afra and Dr. Funke to generate more reliable and interpretable research findings, strengthening their contributions to the field of MEG and sensory processing.

References

Afra, P., & Funke, J. M. (2011). American Clinical Magnetoencephalography Society Clinical Practice Guideline 2: Presurgical Functional Brain Mapping Using Magnetic Evoked Fields. Journal of Clinical Neurophysiology, 28(4), 324–336. https://doi.org/10.1097/WNP.0b013e31821e56d3
Afra, P., & Funke, J. M. (2020). The wisdom and vision from the ACMEGS inaugural decade. Journal of Clinical Neurophysiology, 37(6), 489–493. https://doi.org/10.1097/WNP.0000000000000654
Afra, P., & Maatta, S. (2009). Acquired auditory-visual synesthesia: A window to early cross-modal sensory interactions. Psychology Research and Behavior Management, 2, 31–37. https://doi.org/10.2147/prbm.s4392
Afra, P., et al. (2012). Neurophysiological investigation of idiopathic acquired auditory-visual synesthesia. Neurocase, 18(3), 223–231. https://doi.org/10.1080/13554794.2011.568503