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DESCRIPTION:Graph and geometry-based approaches for cellular-level analysis
  of structure and function in neuronal networks\n\nPatrick Desrosiers\, Un
 iversité Laval/CERVO\n	Tuesday November 26\, 12-1pm\n	Zoom Link: https://mcg
 ill.zoom.us/j/89914150820\n	In Person: 550 Sherbrooke\, Room 189\n	\n	Abstrac
 t: Network science\, primarily inspired by graph theory and computer scien
 ce\, has deepened our understanding of brain circuits. However\, this prog
 ress is based predominantly on studies of the human brain using MRI techni
 ques\, which do not capture detailed cellular information. In this talk\, 
 I will show that graph-theoretical methods can successfully be applied at 
 the cellular level in different imaging contexts\, ranging from quantitati
 ve phase imaging of neuronal cultures using digital holographic microscopy
  (DHM) to whole-brain calcium imaging in living zebrafish larvae. In rat n
 euron cultures\, improvements in cell segmentation for DHM data and the de
 velopment of a graph inference method enable accurate classification of do
 zens of neuronal cultures into developmental stages. When applied to hiPSC
 -derived neuron cultures from schizophrenia and control cohorts\, this app
 roach reveals significant functional differences between the cohorts\, tho
 ugh not accompanied by structural ones\, aligning with the hypothesis of N
 MDA receptor hypofunctionality in schizophrenia. Moreover\, our work on ze
 brafish larvae demonstrates that mesoscopic functional connectivity is a r
 eproducible measure of brain activity that reflects individuality. Using t
 housands of single-neuron reconstructions\, we find strong coupling betwee
 n functional and structural connectivity\, as well as functional network g
 radients that map onto the sensorimotor functions of brain regions. Lastly
 \, revisiting recent claims about geometric constraints on brain function\
 , we explore the correspondence between geometric eigenmodes and functiona
 l gradients of neuronal activity within three-dimensional structures throu
 gh numerical simulations and experimental observations in larval zebrafish
 . This recent work underscores the critical role of short-range connection
 s in the emergence of geometric features in neuronal activity and cautions
  against misinterpretations in filtered neuroimaging data at larger observ
 ational scales.\n\nShort bio: Initially trained in physics and mathematics
  at Université Laval\, the University of Melbourne\, and CEA-Saclay\, Patr
 ick Desrosiers is a neuroscience researcher at the CERVO Brain Research Ce
 nter and an adjunct professor of physics at Université Laval. As co-direct
 or of Dynamica\, a multidisciplinary research group in complex systems\, h
 e develops theoretical and computational methods to better understand the 
 relationship between structure and function in neural networks\, with a fo
 cus on dimensionality reduction and network resilience to perturbations.\n
DTSTART:20241126T170000Z
DTEND:20241126T180000Z
SUMMARY:QLS Seminar Series - Patrick Desrosiers
URL:/qls/channels/event/qls-seminar-series-patrick-des
 rosiers-361208
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