BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NextToU//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:37e9c172-343b-4944-a4b9-ed220643b041@nexttoyou
DTSTAMP:20261107T014038Z
DTSTART:20261109T190000Z
DTEND:20261109T200000Z
SUMMARY:Deep Learning Models of the Developing Brain: Brain Age\, ADHD\, a
 nd Brain Behavior Associations in the ABCD Study: Mohammadreza Bayat's Di
 ssertation Defense
LOCATION:AHC4 - Academic Health Center 4 401\, 11200 SW 8th ST\, Academic 
 Health Center 4\, Miami\, Florida 33199
DESCRIPTION:UNIVERSITY GRADUATE SCHOOL BULLETIN ANNOUNCEMENT\n\nFlorida In
 ternational University\n\nUniversity Graduate School\n\nDoctoral Disserta
 tion Defense\n\nAbstract\n\nDeep Learning Models of the Developing Brain:
  Brain Age\, ADHD\, and Brain Behavior Associations in the ABCD Study\n\n
 by\n\nMohammadreza Bayat\n\nTwo children of the same age can differ marke
 dly in how quickly they learn\, how well they hold information in mind\, 
 and whether they go on to develop a psychiatric condition. Large consorti
 um datasets such as the Adolescent Brain Cognitive Development (ABCD) Stu
 dy\, which follows nearly 11\,860 children from age 9 with multimodal mag
 netic resonance imaging (MRI) and extensive behavioral assessment\, now m
 ake it possible to study these differences with unprecedented statistical
  power. This dissertation examines how the brain is represented before an
 alysis and how models that link brain to behavior are built\, validated\,
  and interpreted\, using deep learning models applied to whole-brain MRI 
 from the ABCD Study. The research addresses two key domains: (1) brain ma
 turation in attention-deficit/hyperactivity disorder (ADHD)\, using brain
 -age models to test the maturational lag hypothesis\; and (2) prediction 
 of cognition and other phenotypes from brain images\, investigating wheth
 er the apparent ceiling on brain-behavior prediction reflects limitations
  of the brain or of the analytical approach. Study 1 provides a comprehen
 sive review of the brain-age framework\, tracing the development of regre
 ssion-ba\n\nhttp://next-to-u.app/events/37e9c172-343b-4944-a4b9-ed220643b
 041
URL:http://next-to-u.app/events/37e9c172-343b-4944-a4b9-ed220643b041
END:VEVENT
END:VCALENDAR