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SUMMARY:Whole-brain modeling of high-order functional interactions in clin
 ical applications: healthy aging and transcranial ultrasound stimulation -
  Marilyn Gatica (Northeastern University)
DTSTART:20240815T110000Z
DTEND:20240815T114500Z
UID:TALK219853@talks.cam.ac.uk
DESCRIPTION:The brain interdependencies can be studied from either a struc
 tural or functional perspective. The former typically focuses on structura
 l connectivity (SC)\, while the latter considers statistical interactions 
 (usually functional connectivity\, FC). Notably\, while SC is inherently p
 airwise because it describes white-matter fibers projecting from one regio
 n to another\, FC is not limited to pairwise interdependencies. Despite th
 is\, FC analyses predominantly concentrate on pairwise statistics\, usuall
 y neglecting the possibility of higher-order interactions. Moreover\, the 
 precise relationship between high-order and SC is largely unknown\, partly
  due to the absence of mechanistic models that can efficiently map brain c
 onnectomics to functional connectivity.\nTo investigate these interlinked 
 issues\, we have built whole-brain computational models using anatomical a
 nd functional MRI data in two applications: healthy aging and transcranial
  ultrasound stimulation (TUS). We show that non-linear variations in the s
 tructural connectome can largely explain the differences in high-order fun
 ctional interactions between age groups. Moreover\, we demonstrated the ex
 tent of perturbations in dynamical models to describe the high-order effec
 ts of TUS in two different brain targets.
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