BEGIN:VCALENDAR
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PRODID:-//Center for Advanced Human Brain Imaging Research - ECPv6.7.0//NONSGML v1.0//EN
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METHOD:PUBLISH
X-ORIGINAL-URL:https://sites.rutgers.edu/cahbir
X-WR-CALDESC:Events for Center for Advanced Human Brain Imaging Research
REFRESH-INTERVAL;VALUE=DURATION:PT1H
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X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250303
DTEND;VALUE=DATE:20250304
DTSTAMP:20260502T231115
CREATED:20241101T193503Z
LAST-MODIFIED:20241119T171827Z
UID:1082-1740960000-1740960000@sites.rutgers.edu
SUMMARY:Amber Howell  (Postdoc. PI: Linden Parkes & Avram Holmes. Title: TBD. Duration: 45 min) RSVP: 1
DESCRIPTION:
URL:https://sites.rutgers.edu/cahbir/event/amber-howell-postdoc-pi-linden-parkes-avram-holmes-title-tbd-duration-45-min-rsvp-1/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250310T120000
DTEND;TZID=UTC:20250310T130000
DTSTAMP:20260502T231115
CREATED:20241119T172022Z
LAST-MODIFIED:20241119T172022Z
UID:1101-1741608000-1741611600@sites.rutgers.edu
SUMMARY:Network Neuroscience Interest Group
DESCRIPTION:Monthly meeting of the Network Neuroscience Interest Group
URL:https://sites.rutgers.edu/cahbir/event/network-neuroscience-interest-group-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250317T120000
DTEND;TZID=UTC:20250317T130000
DTSTAMP:20260502T231115
CREATED:20250212T143235Z
LAST-MODIFIED:20250212T143235Z
UID:1142-1742212800-1742216400@sites.rutgers.edu
SUMMARY:CAHBIR Office Hour
DESCRIPTION:Monthly office hour to ask any technical/programming questions
URL:https://sites.rutgers.edu/cahbir/event/cahbir-office-hour-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250324T120000
DTEND;TZID=UTC:20250324T130000
DTSTAMP:20260502T231115
CREATED:20250116T224351Z
LAST-MODIFIED:20250320T202852Z
UID:1120-1742817600-1742821200@sites.rutgers.edu
SUMMARY:Jeff Luci\, Ph.D. Theory and practice of diffusion MRI data acquisition
DESCRIPTION:Part 1 of our 3-part DTI didactic series \n\nSpeaker: Jeffrey Luci\, Ph.D.\nDescription: We will explore how microscopic water diffusion can be probed with MRI\, and how we can customize MR sequences to measure different diffusion features.\nHybrid – in person and  on zoom
URL:https://sites.rutgers.edu/cahbir/event/dti-didactics-part-1/
LOCATION:CAHBIR Conference Room – SRB 127\, 661 Hoes Lane West\, Piscataway\, 08854\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250331
DTEND;VALUE=DATE:20250401
DTSTAMP:20260502T231115
CREATED:20241101T193556Z
LAST-MODIFIED:20250320T202201Z
UID:1084-1743379200-1743465599@sites.rutgers.edu
SUMMARY:Carrisa Cocuzza (Postdoc. PI: Avram Holmes. Cognitive fog in long COVID: brain network dynamics in a densely-sampled case study.
DESCRIPTION:Cognitive fog in long COVID: brain network dynamics in a densely-sampled case study\nCarrisa V. Cocuzza\nSupervisor: Avram J. Holmes\n\nAbstract:\n\nIndividuals with long COVID syndrome can present with impaired memory\, ability to focus\, fatigue\, and malaise for months to years after initial SARS-CoV-2 infection. Despite the substantial personal and societal costs of long COVID\, our current understanding of the underlying brain mechanisms\, processes\, and risk factors remains limited. Building on historical study of univariate activity and stationary network features\, evidence suggests that brain network dynamics explain more variance in disrupted cognition and behavior exhibited by neuropsychiatric patients. I will discuss the rationale motivating this emerging framework and showcase our ongoing project on how cognitive fog associated with long COVID can be triggered through task-probes and is manifested in brain network dynamics. Here\, we conducted a densely-sampled case study of an individual patient with long COVID who underwent over 40 resting- and task-state fMRI sessions. In each study session\, intrinsic (resting-state) scans bookended task-evoked scans\, allowing us to investigate the persistent impacts of cognitive fog provocation on intrinsic brain network dynamics. We found evidence that brain connectivity changes were significantly different between fog and non-fog provoking sessions. Effects were exhibited across the whole brain\, but prominent in somatomotor\, cognitive control\, and subcortical brain systems. Then\, we tested two hypotheses about post-fog modification processes: (1) network dynamics get “stuck” in a task-state regime\, and (2) structured disruptions to network dynamics spread and are maintained across time. The translational impact of understanding how long COVID symptoms are instantiated in brain network dynamics will be discussed.\n\n\n\nSeminar zoom link: https://rutgers.zoom.us/j/98124487248?pwd=hVE13L7ktwk1Iwa9SNvUWJ3kpQDqNw.1
URL:https://sites.rutgers.edu/cahbir/event/carrisa-cocuzza-postdoc-pi-avram-holmes-talk-topic-title-tbd-duration-45-min-rsvp-9/
LOCATION:CAHBIR Conference Room – SRB 127\, 661 Hoes Lane West\, Piscataway\, 08854\, United States
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