Important dates

Abstract submission deadline: April 31th, 2025

Late breaking abstracts deadline: June 11th, 2025

Early bird registration:  June 30th, 2025

Program 

>Please download here

Preliminary program – last updated June 30

Thursday, September 4

12:00-19:00   Registration

12:30-18:00   Home Video EEG Telemetry masterclass

19:00                 Conference dinner at the venue. Please remember to register in advance

Friday, September 5

8:00-9:30        Seizure detection using EEG: What´s new in this old story? – Andreas Schulze-Bonhage

  • 8:00-8:30. Clinical indications for ultra-longterm monitoring. Andreas Schulze-Bonhage
  • 8:30-9:00. Seizure detection based on scalp EEG: state of the art. Christoph Baumgartner
  • 9:00-9:15. Platform 1. Ultra-long subcutaneous EEG monitoring in drug-resistant focal epilepsies: Clinical yields and challenges. Guido Rubboli (Dianalund, Denmark)
  • 9:15-9:30. Platform 2. Long Term Adherence to a Subcutaneous 2-Channel EEG System in Patients with Focal Epilepsy. Nicolas Zabler (Freiburg, Germany)

9:30-10:00 Coffee break

10:00-11:30   Seizure quantification using wearables: Can we trust it? – Roland Thijs

11:30-12:15   Sponsored lecture by UNEEG Medical

New insights from ultra long-term subcutaneous EEG studies

Speakers: Sándor Beniczky, Prof, MD: A tale of 365 nights: a yearlong electroencephalography investigation into human sleep in natural conditions.

Pedro Viana, MD: Real -world epilepsy monitoring with ultra long-term subcutaneous EEG: a 15-month prospective study

12:15-13:15   Lunch break and poster tour

13:15-15:00   Seizure prediction and forecasting: Are we there yet? – Mark Cook

  • 13:15-13:45 Forecasting with Cycles: Patient reported outcomes. Philippa Karoly (Melbourne AU)
  • 13:45-14:15 The future’s not what it used to be: problems with forecasting. Dan Goldenholz (Boston, USA)
  • 14:15-14:45 Wearable forecasting. Solveig Vieluf (Munich, Germany)
  • 14:45-15:00 Real-world challenges and applications of seizure forecasting. Rachel Sterling (Melbourne, Australia).

15:00-15:30   Sponsored lecture 2

15:30-15:45 Coffee break

15:45-17:15   Applications in epilepsy: The help is on your smartphone. – Arjune Sen

  • 15:45-16:05 – An introduction to apps: the what, the when, the how, the for whom and the why. Gabriel Jones (UK)
  • 16:05 to 16:25 – Apps for the diagnosis of epilepsy. Sameer Zuberi (UK)
  • 16:25 to 16:45 – Apps and wearables: The future of clinical trials. Jacqueline French (USA)
  • 16:45 to 17:05 – Apps for a more holistic management of global epilepsy. Arjune Sen (UK)
  • 17:05 onwards - panel discussion

17:15-17:45 Coffee break

17:45-19:15   Closed loop systems in epilepsy – Michael Sperling

17:45-18:45. Debate: Closed loop systems offer no advantage over open loop systems in neurostimulation

  • Closed loop offer no advantage over open loop systems. Michael Sperling
  • Closed loop systems offer advantage over open loop systems. Gregory Worrell

18:45-19:00. Addressing common challenges in diagnostics, seizure tracking, and prediction tools: insights from the diagnostic and tracking Research Roundtable for Epilepsy. Caitlin Grzeskowiak

19:00-19:15. Platform 3. Quality of life improvement and reduction of accidents, in day-to-day life results of the mjn-SERAS medical device for early seizure detection. David Blánquez (Girona, Spain)

Saturday, September 6

08:00-9:30      Artificial Intelligence in epilepsy: Is this a game changer? - Sam Lhatoo

  • 08:00-08:30. AI for prediction of the epileptic focus using SEEG: the class imbalance problem. Birgit Frauscher (USA)
  • 08:30-09:00. AI – in management of people with epilepsy: are we there yet? Sam Lhatoo (Houston, USA).
  • 09:00-09:30. AI in epilepsy genetics. Dennis Lal (Houston, USA)

9:30-10:00 Coffee break

10:00-11:30   Artificial Intelligence in epilepsy: The low-hanging fruits. -  Sándor Beniczky

  • 10:00-10:30. SCORE-AI. Sándor Beniczky (Denmark)
  • 10:30-11:00. AI in epilepsy neuroimaging. Konrad Wagstyl (UK)
  • 11:00-11:15. Platform 4. Generalizable Video-Based Pose Analysis for Tonic-Clonic Seizure Detection: A Multi-Center Study. John Stern (Los Angeles, USA)
  • 11:15-11:30. Platform 5. Analysis of a Discrete Electrographic Seizure Detection Algorithm for Extended-Duration Wearable EEG. Mitchell Frankel (Salt Lake City, USA)

11:30-12:00   Sponsored lecture 3

12:00-13:00   Lunch break and poster tour

13:00-14:30   Telemedicine: From dream to reality. - Mark Richardson

  • 13:00-13:30. Telemedicine for epilepsy - the TELE-EPIC trial. Luca Vignatelli (Bologna, Italy)
  • 13:30-14:00. Seizure cycles at home: What can we do? Maxime Baud (Bern, Switzerland)
  • 14:00-14:15. Platform 6. Characterising sleep in people with focal epilepsy using smartphone touchscreen interactions. Arthur van Nieuw Amerongen (Heemstede, The Netherlands)
  • 14:15-14:30. Platform 7. Wearable Neuroendocrine Sensor for Sudden Unexpected Death in Epilepsy (SUDEP) Prediction and Prevention. Onur Parlak (Stockholm, Sweden)

14:30-15:00   Sponsored lecture 4

15:00-15:30    Coffee break

15:30-17:00   Big data in epilepsy – Colin Josephson

  • 15:30-16:00. Big data: leveraging its value through best practices. Colin Josephson (Canada)
  • 16:00-16:30. Big data: from theory to practice (exemplars where it has been used to advance epilepsy). Jakob Christensen (Denmark)
  • 16:30-16:45. Platform 8. Lampsy: Improving False Alarm Rates in Video-Based Tonic-Clonic Seizure Detection. Vicente M. Garção (Lisboa, Portugal)
  • 16:45-17:00. Platform 9. Search Behavior - Metrics for Analysis of Eye Tracking Data. Anna Jansen (Bonn, Germany)

Main topics

Pre-congress home video-EEG telemetry masterclass

I. Seizure detection

a. Full scalp EEG

b. Wearable EEG

c. Video

d. Multimodal

e. Seizure Quantification

f. Seizure Severity

II. Seizure prediction and forecasting

a. Forecasting Apps

b. Devices

III. Apps in Epilepsy

a. Diagnosis

b. Choice of therapy

c. Patient self-management apps

IV. Closed loop systems

V. Big data

a. Common data elements

b. Open data-sources

c. Online tools

VI. Telemedicine

VII. Artificial Intelligence

a. Overview + ethics (Colin Josephson)

b. Genetics

c. Imaging

d. EEG analysis

VIII. Digital technology and wearables in drug trials