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Email

jodie.feil@unimelb.edu.au

Credentials


Position
Research Fellow in Multiday Cycles
Department of Biomedical Engineering
Education
PhD
Monash University
PhD
Monash University
ORCID

0000-0001-7895-4021

Dr Jodie Naim-Feil

Research Fellow in Multiday Cycles
Department of Biomedical Engineering

32 Scholarly works
2 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Characterising seizure cycles in pediatric epilepsy
    DOI: 10.1016/j.yebeh.2025.110507
  • 2025

    Research grants (ARC, NHMRC, MRFF)

    Unravelling the Genetic Mechanisms of Multiday Seizure Cycles to Drive Novel Treatments for Intractable Epilepsy
  • 2024

    Journal article

    Pro-Ictal EEG Scheduling Improves the Yield of Epilepsy Monitoring: Validating the Use of Multiday Seizure Cycles to Optimize Video-EEG Timing
    DOI: 10.1002/ana.27078
  • 2024

    Journal article

    User experience of a seizure risk forecasting app: A mixed methods investigation
    DOI: 10.1016/j.yebeh.2024.109876
  • 2023

    Journal article

    Seizure cycles
    DOI: 10.1016/j.jns.2023.120902
  • 2023

    Conference Proceedings

    Using seizure cycle forecasts to identify optimal monitoring timeframes and improve the diagnostic yield of vEEG
  • 2023

    Internal Research Grant

    Exploring Dynamic Patterns of Brain Excitability, Connectivity and Heart-Rate Variability Underlying Various Psychiatric Disorders.
Jodie Naim-Feil

RECENT SCHOLARLY WORKS

  • 2023

    Conference Proceedings

    Multi-day seizure cycles are similar in paediatric and adult epilepsy
  • 2023

    Journal article

    RHYTHMS OF THE BRAIN: MULTIDAY SEIZURE CYCLES AND SEIZURE-RISK FORECASTS TO IMPROVE THE DIAGNOSTIC YIELD OF AMBULATORY VIDEO-ELECTROENCEPHALOGRAPHY
    DOI: 10.1016/j.ibneur.2023.08.1516
  • 2023

    Journal article

    Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration
    DOI: 10.1093/brain/awac476
  • 2022

    Conference Proceedings

    Can seizure cycles forecast outcomes of video-EEG: A prospective cohort study
  • 2022

    Journal article

    Anomalies in global network connectivity associated with early recovery from alcohol dependence: A network transcranial magnetic stimulation and electroencephalography study
    DOI: 10.1111/adb.13146

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