PHYS-245-51 Intro Stat Mech Thermody


Friday, February 24, 2017


10:30 am


Sanders Physics 206-Collaborative Learning Classroom

Magnetic resonance imaging (MRI) has developed into a powerful diagnostic
tool in medicine. MRI has also been used in research to probe into the
human brain. Functional MRI (fMRI) offers imaging of the mind as well as
the brain which makes it possible to localize the function of brain
structures. Complex computational tools are used to visualize brain
networks that offer a new powerful tool to study the brain and its
disorders. Functional connectivity (fc) maps using resting state fMRI
(rsfMRI) is computed by detecting temporal synchronicity of neuronal
Computational Mapping of Human Brain*

Alayar Kangarlu

Columbia University and New York State Psychiatric Institute

Mactivation patterns of anatomically separated brain regions. But, a great
deal of technological advancement, both in hardware and software, had to be
made to make computation of brain networks possible. The critical
technologies that made computational modeling of functional brain networks
possible were high quality gradients for implantation of distortion free
fMRI, faster pulse sequences and radio frequency (RF) coils to capture the
fluctuation frequency of neuronal activity, and complex post processing
computation of brain networks. rsfMRI is capable of detecting brain
function that mediate higher cognitive processes in normal brain. We aim to
ultimately detect the disruption of this mediation in psychiatric patients.
We have already obtained functional connectivity in normal subjects using
fMRI data during resting state. We did this as a function of spatial
resolution to explore the required computational sources and susceptibility
effects on the sensitivity of fMRI to anatomic specialization.