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CATEGORIES:Making connections- brains and other complex syste
 ms
SUMMARY:Network function in human cerebral organoids as a 
 platform for mechanistic and therapeutic advances 
 in cognitive disorders - Dr Susanna Barrett Mierau
DTSTART;TZID=Europe/London:20220630T150000
DTEND;TZID=Europe/London:20220630T160000
UID:TALK175712AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/175712
DESCRIPTION:Human cerebral organoids offer an extraordinary in
  vitro cellular model for studying human brain dev
 elopment and early disturbances in neurologic dise
 ase. Microelectrode array (MEA) recordings are com
 monly used to compare neuronal activity in 2D and 
 3D cultures. Yet\, MEA recordings can also reveal 
 cellular-scale network activity (Schroeter et al.\
 , 2017)\, including patterns or motifs in network 
 function seen across spatial scales from cellular 
 to whole brain networks.  We have used MEA recordi
 ngs from human air-liquid interface cerebral organ
 oids (ALI-COs\; Giandomenico et al.\, 2019) to stu
 dy network function and maturation. We have also d
 emonstrated intact neuronal network function devel
 opment with MEA recordings in a human cerebral org
 anoid model of amyotrophic lateral sclerosis with 
 frontotemporal dementia (ALS/FTD\; Szenbenyi et al
 .\, 2021). To facilitate investigations of network
  development in ALI0COs and the impact of disease-
 causing perturbations\, we created a MATLAB networ
 k analysis pipeline (MEA-NAP) for batch analysis o
 f MEA experiments to compare network function over
  time and conditions (e.g.\, genetic mutation or d
 rug treatment). This user-friendly\, open source d
 iagnostic tool can process raw voltage time-series
  acquired from single- (Multichannel System) or mu
 lti-well MEAs (Axion) and automatically infer key 
 network properties from organoids or 2D human (or 
 murine) neuronal cultures. Our pipeline enables us
 ers to perform MEA analysis beyond standard measur
 es of activity or correlation alone to identify di
 fferences in network topology and roles of individ
 ual nodes in network activity. Our analyses of net
 work function in ALI-COs demonstrate that they can
  serve as a platform for investigating disease mec
 hanisms and screening new therapies.
LOCATION:Online
CONTACT:Sarah Morgan
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