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DTSTAMP:20230210T023557Z
UID:51BF8B9A-BC94-4532-84D6-BB29CDB704F3
DTSTART;TZID=Europe/Skopje:20221220T130000
DTEND;TZID=Europe/Skopje:20221220T143000
DESCRIPTION:Myelin plays a crucial role in how reliably the signal travels 
 from one neuron to another. Many neurological diseases affect myelin and c
 ause disturbed signal transmission in the brain network. A convenient way 
 to better understand not just pathology\, but also how the brain works\, i
 s through connectomics. Connectomics provides a unique way to model the br
 ain as a network of interconnected regions. Additionally\, it is common to
  assign weights to the connections that could represent some underlying mi
 crostructural property. However\, the well-established standard diffusion-
 derived measures (such as the fractional anisotropy (FA) and the number of
  streamlines) lack specificity. Therefore\, the connectomes weighted with 
 the standard diffusion-derived metrics may not be able to fully characteri
 ze the underlying changes caused by a specific pathology.\nThis talk focus
 es on the myelin-weighted connectome\, a novel method that complements the
  brain networks with a myelin-sensitive measure. A wide range of myelin-se
 nsitive MRI-derived metrics can be used to weigh the connectome\, includin
 g the longitudinal relaxation rate and the Magnetization Transfer Ratio. B
 ut the question is which one is better? After establishing the myelin-weig
 hted connectome in healthy individuals\, it was employed to study the alte
 rations of myelin in individuals with Parkinson’s Disease and Multiple S
 clerosis. Generally\, the studies show that the myelin-weighted connectome
  can offer a more comprehensive understanding of brain microstructure and 
 the white matter myeloarchitecture. Moreover\, it could potentially lead t
 o the development of new biomarkers that can capture the early microstruct
 ural changes caused by pathologies affecting the myelin.\n\nSpeaker(s): To
 mmy Boshkovski\, PhD\, \n\nVirtual: https://events.vtools.ieee.org/m/33834
 3
LOCATION:Virtual: https://events.vtools.ieee.org/m/338343
ORGANIZER:katarina.trojacanec@finki.ukim.mk
SEQUENCE:9
SUMMARY:Invited Lecture: The myelin-weighted connectome: A new look at neur
 odegenerative diseases
URL;VALUE=URI:https://events.vtools.ieee.org/m/338343
X-ALT-DESC:Description: <br /><div>Myelin plays a crucial role in how relia
 bly the signal travels from one neuron to another. Many neurological disea
 ses affect myelin and cause disturbed signal transmission in the brain net
 work. A convenient way to better understand not just pathology\, but also 
 how the brain works\, is through connectomics. Connectomics provides a uni
 que way to model the brain as a network of interconnected regions. Additio
 nally\, it is common to assign weights to the connections that could repre
 sent some underlying microstructural property. However\, the well-establis
 hed standard diffusion-derived measures (such as the fractional anisotropy
  (FA) and the number of streamlines) lack specificity. Therefore\, the con
 nectomes weighted with the standard diffusion-derived metrics may not be a
 ble to fully characterize the underlying changes caused by a specific path
 ology.</div>\n<div>This talk focuses on the myelin-weighted connectome\, a
  novel method that complements the brain networks with a myelin-sensitive 
 measure. A wide range of myelin-sensitive MRI-derived metrics can be used 
 to weigh the connectome\, including the longitudinal relaxation rate and t
 he Magnetization Transfer Ratio. But the question is which one is better? 
 After establishing the myelin-weighted connectome in healthy individuals\,
  it was employed to study the alterations of myelin in individuals with Pa
 rkinson&rsquo\;s Disease and Multiple Sclerosis. Generally\, the studies s
 how that the myelin-weighted connectome can offer a more comprehensive und
 erstanding of brain microstructure and the white matter myeloarchitecture.
  Moreover\, it could potentially lead to the development of new biomarkers
  that can capture the early microstructural changes caused by pathologies 
 affecting the myelin.</div>
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