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SUMMARY:Anna Szabo (UOxford): "Uncovering network hyperexcitability in Alz
 heimer’s disease – a translational perspective"
DTSTART;VALUE=DATE-TIME:20260511T120000Z
DTEND;VALUE=DATE-TIME:20260511T130000Z
DTSTAMP;VALUE=DATE-TIME:20260527T193018Z
UID:indico-event-664@indico.giga.uliege.be
DESCRIPTION:Abstract: Over the past decades\, network hyperexcitability - 
 particularly sleep-related epileptiform activity (EA) - has emerged as a k
 ey but under-detected feature of Alzheimer’s disease (AD)\, with growing
  evidence linking it to accelerated cognitive decline. However\, its preva
 lence\, mechanisms\, and functional consequences remain poorly defined\, l
 argely due to the limited sensitivity of routine clinical diagnostics and 
 the lack of standardized detection methods and validated translational mar
 kers. This talk presents a translational research program combining precli
 nical models and human multimodal data to better characterize EA\, its det
 erminants\, and its impact on memory and disease progression.\n\nThe first
  part of the talk will discuss work in the Tg2576 mouse model\, where we i
 dentified a marked sleep-stage dependence of EA and further showed that mo
 noaminergic systems - particularly noradrenergic transmission - critically
  shape this phenotype. We also demonstrated in the same model that commonl
 y prescribed medications can modulate network hyperexcitability. More prec
 isely\, chronic antidepressant treatment provides a controlled model of ex
 acerbated EA\, which we currently leverage to investigate how increased hy
 perexcitability disrupts sleep-dependent memory consolidation.\n\nIn the s
 econd part\, the talk will highlight key results from a case-control study
  conducted at the University Hospital of Toulouse including AD patients an
 d matched controls and relying on polysomnography\, EEG\, neuropsychologic
 al assessments and neuroimaging as main methods to investigate network hyp
 erexcitability. This study helped us better understand whether various rod
 ent findings are translatable to clinical settings\, but is also used curr
 ently used in the development of multimodal\, computation-driven approache
 s to improve EA detection in clinical settings\, with potential implicatio
 ns for clinical care and disease progression.\n\n \n\nBIO: Following ini
 tial training in psychology and human movement sciences\, I completed a Ma
 ster's degree in integrative neurosciences at the University of Paris-Sacl
 ay. I then pursued a PhD in the same field at the University of Toulouse\,
  conducting translational research focusing on the impact of network hyper
 excitability during sleep on Alzheimer's disease progression and memory co
 nsolidation processes. Since 2024\, I have been a course tutor in sleep m
 edicine at the University of Oxford\, and since March 2026\, I am also wor
 king as a part-time postdoctoral researcher at Radboud University (Genzel 
 Lab).\n\nhttps://indico.giga.uliege.be/event/664/
LOCATION:CRC B-30/0-000 - FLUOR (Big meeting room)
URL:https://indico.giga.uliege.be/event/664/
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