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<div class=Section1>
<p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif";
color:#000099'>Some of you might be interested in this talk on Tuesday:<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif";
color:#000099'><o:p> </o:p></span></p>
<div>
<div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'>
<p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span
style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>
cpcn-sem-bounces@psych.ucsb.edu [mailto:cpcn-sem-bounces@psych.ucsb.edu] <b>On
Behalf Of </b>Michael Miller<br>
<b>Sent:</b> Thursday, March 12, 2009 1:38 PM<br>
<b>To:</b> cpcn-sem@psych.ucsb.edu<br>
<b>Subject:</b> [Cpcn-sem] postdoctoral candidate talk: Tuesday, March 17,
11:00am, Physical Sciences South #2712<o:p></o:p></span></p>
</div>
</div>
<p class=MsoNormal><o:p> </o:p></p>
<blockquote style='margin-top:5.0pt;margin-bottom:5.0pt'>
<div>
<p class=MsoNormal><b><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>Who</span></b><b><span style='font-size:16.0pt;font-family:"Calibri","sans-serif";
color:black'>: </span></b><span
style='font-size:16.0pt;font-family:"Calibri","sans-serif";color:black'>Dani
Bassett</span><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";
color:black'><o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal><span style='font-family:"Calibri","sans-serif";color:black'>
Cavendish Laboratory, Department of Physics, University of Cambridge, UK</span><span
style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";
color:black'> <o:p></o:p></span></p>
<p class=MsoNormal><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'> </span><span
style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:black'><o:p></o:p></span></p>
<div>
<p class=MsoNormal><b><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>Title: </span></b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif";color:black'>Graph
Analysis of Human Brain Networks</span><span style='font-size:10.5pt;
font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal><span style='font-size:10.5pt;font-family:Consolas;
color:black'> <o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><b><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'>Abstract: </span></b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif";color:black'>The
brain is a complex system composed of many different interacting parts on a
variety of temporal and spatial scales. Vast amounts of sensory information
from its surroundings are amassed to produce a range of both successful and
unsuccessful behaviors through many unknown processes. The analytic tools of
both statistical mechanics and graph theory allow the exploration of emergent
behaviors of a system through the detailed inclusion of all subcomponents and
are therefore well suited to uncovering the governing principles of the brain
and resultant behavior. In this talk I will investigate the possible uses of
the application of graph theory to neuroimaging data from healthy and diseased
populations in three separate studies.</span><span style='font-size:10.5pt;
font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>In the first study, functional brain networks are derived from
magnetoencephalography (MEG) data from 12 healthy subjects in two task
conditions (resting and finger tapping). The brain's function is found to be
characterized by a topological structure intermediate between random (short-cut
connections) and highly ordered (provincial clustering); like many biological,
technological, and social systems, the brain is small-world. The architecture,
as measured by a range of graph metrics, remains scale-invariant throughout the
functioning brain's classical frequency bands (from low frequency delta to high
frequency gamma) and in both the resting and motor states. Despite the general
conservation of functional architecture, the brain does adjust the length of
its high frequency (especially gamma, >37.5 Hz) connections when it is
required to perform a finger tapping task. The relatively shorter connections
in the resting state suggest the existence of an energy efficiency constraint.</span><span
style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>In the second study, we therefore hypothesized that the brain
functions on a balanced platform of maximum efficiency for minimum cost, and
that the successfulness of this optimization predicts the cognitive ability of
the system. Frequency specific functional networks were again derived from the
MEG data of 28 healthy controls and 29 people with schizophrenia taken during a
working memory task. A measure of the cost-efficiency of the high frequency
(beta band, 15-30Hz) networks was found to be strongly predictive of a person's
cognitive performance independent of the health of the subject (whether
non-psychotic or diagnosed with schizophrenia).</span><span style='font-size:
10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>The dependence of cognition on the brain's functional network
organization suggests that the anatomical substrate for these functions may
also be affected by diseases like schizophrenia which limit cognitive ability.
In a third study, we used structural magnetic resonance imaging (sMRI) data
from 259 healthy subjects and 203 people with schizophrenia to construct
anatomical networks from the pairwise covariation of regional gray matter
volumes. We found that the anatomical structure in the healthy brain contains a
hierarchical organization which is inverted in schizophrenia and may thus be a
vestige of abnormal neurodevelopmental processes.</span><span style='font-size:
10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>These results are some of the very first to demonstrate the
usefulness of network theory in delineating the large-scale brain systems
representations of structure, behavior, and disease. Further, they extend the
boundaries of this rapidly evolving field which promises to elucidate the brain's
emergent behavior at an increasing level of complexity in the future.</span><span
style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><span style='font-size:10.5pt;
font-family:Consolas;color:black'> <o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><b><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'>When: </span></b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif";color:black'>Tuesday,
March 1</span><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:#1F497D'>7</span><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>, 2009</span><span style='font-size:10.5pt;font-family:Consolas;
color:black'><o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><b><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'> </span></b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif";color:black'>11:00AM
– 12:00PM </span><span style='font-size:10.5pt;font-family:Consolas;
color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt;text-indent:-1.0in'><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif";color:black'> </span><span
style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><b><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'>Where: </span></b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif";color:black'>Physical
Sciences South</span><span style='font-size:10.5pt;font-family:Consolas;
color:black'><o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal style='text-indent:.5in'><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'>Room 2712</span><span
style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt;text-indent:-1.0in'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'>
Broida connects to PSBS on the second floor</span><span style='font-size:10.5pt;
font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<p class=MsoPlainText style='margin:0in;margin-bottom:.0001pt;text-indent:-1.0in'><span
style='font-size:10.5pt;font-family:Consolas;color:black'> <o:p></o:p></span></p>
<div>
<p class=MsoNormal style='text-indent:-1.0in'><span style='font-size:14.0pt;
font-family:"Calibri","sans-serif";color:black'>
PSBS is the light pink building neighboring Broida. Use the outside tiled
stairs for access to the 2<sup>nd</sup> floor.</span><span
style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal><span style='font-size:14.0pt;font-family:"Calibri","sans-serif";
color:black'>Room 2712 is the first door on the right after entering the
building.</span><span style='font-size:10.5pt;font-family:Consolas;color:black'><o:p></o:p></span></p>
</div>
<div>
<p class=MsoNormal><span style='color:black'><o:p> </o:p></span></p>
</div>
</blockquote>
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