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UID:d8206495-f184-4722-a037-61d3334aa3c6@nexttoyou
DTSTAMP:20261105T162424Z
DTSTART:20261106T170000Z
DTEND:20261106T180000Z
SUMMARY:SCSB Lunch Series with Dr. Chaoyi Zhang: Reading the social brain:
  volumetric functional ultrasound imaging in behaving marmosets
LOCATION:Simons Center Conference room\, 46-6011 46-6011\, 43 Vassar Stree
 t\, Cambridge\, MA 02139
DESCRIPTION:Date: Friday\, November 6\, 2026\nTime: 12:00pm – 1:00pm\nLoca
 tion: Simons Center Conference room 46-6011. Zoom: https://mit.zoom.us/j/
 96729184896\n\nSpeaker: Chaoyi Zhang\, Ph.D.\nAffiliation: Postdoctoral F
 ellow\, Guoping Feng Laboratory\, McGovern Institute for Brain Research\,
  Yang Tan Collective\, MIT\n\nTalk title: Reading the social brain: volum
 etric functional ultrasound imaging in behaving marmosets\n\nAbstract: Pr
 imate social brain engages distributed networks spanning prefrontal corte
 x\, cingulate cortex\, striatum\, thalamus\, and amygdala — circuits repe
 atedly implicated in autism and other neuropsychiatric disorders yet rare
 ly observed at brain-wide scale in awake primate during genuine social in
 teraction. The common marmoset is well suited to closing this gap: it is 
 highly social\, genetically tractable\, and available as a transgenic mod
 el of autism risk genes. What has been missing is a way to record brain-w
 ide activity while a marmoset behaves.\n\nI will present a functional ult
 rasound imaging (fUSI) platform we developed for awake marmosets\, in whi
 ch a section of skull is replaced with an acoustically transparent implan
 t\, giving volumetric access to cortical and subcortical structures at ~1
 50 µm resolution. Combined with a marmoset whole-brain vascular reference
  map and an automated registration pipeline\, this lets us compare activi
 ty in roughly 50 atlas-defined regions across sessions and animals.\n\nUs
 ing this platform\, we find that a live social partner evokes substantial
 ly stron\n\nhttp://next-to-u.app/events/d8206495-f184-4722-a037-61d3334aa
 3c6
URL:http://next-to-u.app/events/d8206495-f184-4722-a037-61d3334aa3c6
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