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37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE Engineering in Medicine and Biology Society (EMBC 2015)

The report of 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE Engineering in Medicine and Biology Society (EMBC 2015) by Ehsan Eqlimi
Application Code :
306-0215-0158
 
Created Date : Saturday, November 28, 2015 13:59:10Update Date : Monday, January 11, 2016 10:52:36
IP Address : 194.225.51.101Submit Date : Monday, January 11, 2016 11:09:49Email : ehsun.eghlimi@gmail.com
Personal Information
Name : Ehsan
Surname : Eqlimi
School/Research center : School of Medicine
If you choose other, please name your Research center :  
Position : student
Tel : +98-45-33712858
Information of Congress
Title of the Congress : 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE
IEEE Engineering in Medicine and Biology Society (EMBC 2015)
Title of your Abstract : 1-Modular Organization of Resting State Functional Networks in Patients with Multiple Sclerosis

2- Evaluation of Adaptive Parafac Alogorithms for Tracking of Simulated Moving Brain Sources

3-A Statistical Approach in Human Brain Connectome of Parkinson Disease in Elderly People using Network based Statistics
Destination Country : Italy
From : Tuesday, August 25, 2015
To : Saturday, August 29, 2015
Abstract(Please copy/paste the abstract send to the congress) : 1- Graph theory is capable of describing complex networks, e.g., functional brain networks in abstract terms of nodes and edges. In this paper following our recent study, we extracted resting state fMRI (rs-fMRI) time series from both 264 cortical /sub-cortical nodes and 90 AAL regions for two groups of 35 healthy and 25 Multiple Sclerosis (MS) participants. After constructing undirected and unweighted graphs based on both Pearson Correlation (PC) and Normalized Mutual Information (NMI) we investigated how Community Structure (CS) changes considering MS.

2-In this paper, we proposed an online 2D localization method for tracking of dynamic moving brain sources. For this purpose, we used an adaptive version of PARAllel FACtor (PARAFAC) analysis for factorization of electroencephalographic (EEG) signals. We utilized Boundary Element Method (BEM) with four layers to solve the forward problem for the simulated EEG signals caused by two moving dipoles within the brain. Then, we created an appropriate tensor built by second order statistics of EEG signals. We adopted an online method to brain source localization called the Recursive Least Squares Tracking (RLST) as an adaptive PARAFAC algorithm with two windowing schemes. Finally, we evaluated the performance of the method applied to EEG signals.

3-Parkinson’s Disease (PD) is a progressive neurodegenerative disorder assumed to involve different areas of CNS and PNS. Thus, Diffusion Tensor Imaging (DTI) is used to examine the areas engaged in PD neurodegeneration. In the present study, we computed average tract length and fiber volume as a measure of white matter integrity and adopted Network Based Statistics (NBS) to conduct group analyses between age- and gender-matched PD patients and healthy control connectivity matrices. NBS is a powerful statistical tool that utilizes the presence of every link in connectivity matrices and controls family wise error rates (in weak sense). The major regions with significantly reduced interconnecting fiber volume or average tract length were cingulum, temporal lobe, frontal lobe, parahippocampus, hippocampus, olfactory lobe, and occipital lobe.
Keywords of your Abstract : 1- Resting State Functional MRI, Functional Connectivity, MS, Modularity and Graph Theory

2-EEG, Moving Brain Sources,Tensor,PARAFAC and BSS

3- diffusion tensor imaging (DTI), parkinson
disease (PD), structure brain connectivity and network
based statistics (NBS).
Acceptance Letter : http://gsia.tums.ac.ir/images/UserFiles/20597/Forms/306/Gmail_-_Decision_on_EMBC_15_submission_1994.pdf
The presentation : Oral
The Cover of Abstract book : http://gsia.tums.ac.ir/images/UserFiles/20597/Forms/306/General_Conference_Schedule.pdf
Published abstract in the abstract book with the related code : http://gsia.tums.ac.ir/images/UserFiles/20597/Forms/306/10041994.pdf
Where has your abstract been indexed? : Pubmed
If you choose other, please name :  
The Congress Reporting Form
How many volunteers were present at the Congress? : more than 500
Delegates from which countries presented in the congress? : Italy,France,USA and Japan
Were the delegates of any other organizations present in the congress? : No
If yes, please write the names of the organizations in the box :  
What were the responses to your talking points? Were specific questions or concerns raised? : Graph theory is capable of describing complex networks, e.g.,
functional brain networks in abstract terms of nodes and edges. In
this paper following our recent study, we extracted resting state
fMRI (rs-fMRI) time series from both 264 cortical /sub-cortical
nodes and 90 AAL regions for two groups of 35 healthy and 25
Multiple Sclerosis (MS) participants. After constructing undirected
and unweighted graphs based on both Pearson Correlation (PC) and
Normalized Mutual Information (NMI) we investigated how
Community Structure (CS) changes considering MS.
If you met staff members, please list their full names & positions. : Bin, He 
Distinguished McKnight University Professor of Biomedical Engineering
Please inform us if there are any follow up actions we need to talk with the members of the congress : Graph theory is capable of describing complex networks, e.g.,
functional brain networks in abstract terms of nodes and edges. In
this paper following our recent study, we extracted resting state
fMRI (rs-fMRI) time series from both 264 cortical /sub-cortical
nodes and 90 AAL regions for two groups of 35 healthy and 25
Multiple Sclerosis (MS) participants. After constructing undirected
and unweighted graphs based on both Pearson Correlation (PC) and
Normalized Mutual Information (NMI) we investigated how
Community Structure (CS) changes considering MS.
Your experiences about the travel processes(Providing ticket, accommodation,...) : We reserve my accommodation by booking.com it is very good.
Please give a briefing of your own observations and outcomes of the congress: : The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) will take place in Milano, Italy, in the period August 25th-29th, 2015. It will be a remarkable event as it is the first time that Italy will host a conference of the world’s largest member-based scientific Society in Biomedical Engineering (BME): at the same time, it will be a unique opportunity to come in touch with the actual BME activities all over the world.

The Conference will take place in MiCo – Milano Congressi, recently rebuilt (2011) and located in downtown Milano. It is one of the largest conference facilities in Europe and worldwide, catering for up to 18,000 people in 70 or so fully appointed conference rooms

 

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