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CREATED:20231127T102033Z
LAST-MODIFIED:20231127T102033Z
DTSTAMP:20260817T230255Z
UID:1786996975@tuc.gr
SUMMARY:Ομιλία του Δρ. Βασίλη Χριστόπουλου "
 Functional ultrasound imaging (fUSI)
 : A revolutionary technology to stud
 y the nervous system"
LOCATION:Λ - Κτίριο Επιστημών/ΗΜΜΥ, 141Π-98
DESCRIPTION:https://www.ece.tuc.gr/el/katalogos-
 ekdiloseon?tx_tucevents2_tuceventsdi
 splay%5Baction%5D=show&tx_tucevents2
 _tuceventsdisplay%5Bcontroller%5D=Ev
 ent&tx_tucevents2_tuceventsdisplay%5
 Bevent%5D=6636&cHash=c6b7471c4b20972
 3a8af1c4b328f1a1e\nTitle\n Functiona
 l ultrasound imaging (fUSI): A revol
 utionary technology to study the ner
 vous system\n  \n Abstract\n Recent 
 advances in neuroimaging technology 
 have significantly contributed to a 
 better understanding of human brain 
 organization, and the development an
 d application of more efficient clin
 ical programs. However, the limitati
 ons and tradeoffs inherent to the ex
 isting techniques, prevent them from
  providing large-scale imaging of ne
 ural activity with high spatiotempor
 al resolution, deep penetration, and
  specificity in awake and behaving p
 articipants. Recently, functional ul
 trasound imaging (fUSI) was introduc
 ed as a revolutionary technology tha
 t provides a unique combination of s
 patial coverage, unprecedented spati
 otemporal resolution (~100 μm, up to
  ~10 ms) and compatibility with free
 ly moving animals. While fUSI is a h
 emodynamic technique, its superior s
 patiotemporal performance and single
 -trial sensitivity offer a substanti
 ally closer connection to the underl
 ying neuronal signals than achievabl
 e with other hemodynamic methods suc
 h as fMRI. In addition, the relative
  simplicity and portability of ultra
 sound have allowed fUSI to be perfor
 med in awake and behaving participan
 ts, providing minimally invasive neu
 ral imaging in species ranging from 
 mice to humans. In vivo fUSI was fir
 st reported in 2011 by imaging cereb
 ral blood volume (CBV) changes in th
 e microvascularization of the rat br
 ain during whisker stimulation. Sinc
 e then, this technique has been appl
 ied to brain activity imaging during
  olfactory stimuli, resting state co
 nnectivity and behavioral tasks on f
 reely moving rodents. Our team took 
 the next major leap in fUSI and demo
 nstrated for the first time that fun
 ctional ultrasound images encode the
  motor intention of non-human primat
 es (i.e., monkeys) before they perfo
 rm an actual movement - a prerequisi
 te to brain-machine interfaces (BMIs
 ). These results consist a critical 
 step in the development of neuro-rec
 ording and brain interface tools tha
 t are less invasive, high resolution
 , and scalable across species. Curre
 ntly, we are working on extending th
 e fUSI technology to study the patho
 physiology of neurological (e.g., ch
 ronic pain) and psychiatric (e.g., s
 chizophrenia) diseases in pre-clinic
 al and clinical studies, and to guid
 e therapeutic neuromodulation treatm
 ents – a technology that currently d
 oes not exist. fUSI is still on its 
 infancy. Although our work establish
 es fUSI a promising platform for neu
 roscientific investigation with pote
 ntial for profound clinical impact, 
 there are many challenges that we ne
 ed to overcome – such as how to hand
 le, process and decode inreal time t
 he big dataset of ultrasonic data wi
 th efficient and interpretable machi
 ne learning techniques.\n \n About t
 he Speaker\n Dr. Christopoulos is an
  Assistant Professor in the Universi
 ty of California, Riverside Departme
 nt of Bioengineering and Cooperating
  Faculty in the Graduate Neuroscienc
 e Program. He is also a Visiting Pro
 fessor at the Division of Biology an
 d Biological Engineering at the Cali
 fornia Institute of Technology (Calt
 ech) and an Adjunct Clinical Assista
 nt Professor of Neurological Surgery
  at the Keck School of Medicine of U
 niversity of Southern California (US
 C). Prior to joining UC Riverside, D
 r. Christopoulos was a Research Facu
 lty and Director of Neurotechnology 
 at the T&C Chen Brain-Machine In
 terface Center at Caltech. He receiv
 ed his PhD in Computer Science and E
 ngineering, with minor in Cognitive 
 Neuroscience, from the University of
  Minnesota. His research interests f
 ocus on understanding the mechanisms
  of higher order cognitive functions
  in humans and non-human primates, s
 uch as decision-making, motor learni
 ng and motor control. In the recent 
 years, he has extended his research 
 to clinical studies in patients with
  brain and spinal cord injuries, inc
 luding intracortical Brain-Machine I
 nterface in individuals with tetrapl
 egia and functional ultrasound imagi
 ng in patients who undergo surgery f
 or treating brain and spinal cord di
 sorders.\n
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20231220T140000
DTEND:20231220T150000
TRANSP:OPAQUE
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