NDLI: A multi-level parcellation approach for brain functional connectivity analysis

Content Provider	IEEE Xplore Digital Library
Author	Karkar, S. Faisan, S. Thoraval, L. Foucher, J.R.
Copyright Year	2009
Description	Author affiliation: Affiliated to INSERM U666, D¿epartement de Psychiatrie, Centre Hospitalier Universitaire de Strasbourg (Foucher, J.R.) \|\| Affiliated to LSIIT/MIV (UMR 7005), CNRS, Universit¿e de Strasbourg (Karkar, S.; Faisan, S.; Thoraval, L.)
Abstract	Most brain functional connectivity methods in fMRI require a brain parcellation into functionally homogeneous regions. In this work we propose a novel parcellation approach based on a spatial hierarchical clustering, that provides clusters within a multi-level framework. The method has the advantage of producing several brain parcellations rather than a single one from a fixed size-homogeneity criterion. Results obtained on real data demonstrate the relevance of the approach. Finally, a connectivity study shows the benefit of a prior multi-level parcellation of the brain.
Starting Page	3497
Ending Page	3500
File Size	592243
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334578
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Filtering USA Councils Lifting equipment Neuroimaging Partitioning algorithms Iterative algorithms Distance measurement Magnetic resonance imaging Magnetic analysis Hierarchical Clustering Functional Neuroimaging Functional Connectivity Parcellation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Functional parcellation of the hippocampus by clustering resting state fMRI signals

On clustering fMRI using potts and mixture regression models

A multicore based parallel image registration method

Exploring functional connectivity in fMRI via clustering

A new validity measure for a correlation-based fuzzy c-means clustering algorithm

Integrated speech enhancement for functional MRI environment

Unsupervised feature selection in cardiac arrhythmias analysis

Functional MRI study of brain function under resting and activated states

Accurate reconstruction of brain activity and functional connectivity from noisy MEG data

A multi-level parcellation approach for brain functional connectivity analysis

Similar Documents

Functional parcellation of the hippocampus by clustering resting state fMRI signals

On clustering fMRI using potts and mixture regression models

A multicore based parallel image registration method

Exploring functional connectivity in fMRI via clustering

A new validity measure for a correlation-based fuzzy c-means clustering algorithm

Integrated speech enhancement for functional MRI environment

Unsupervised feature selection in cardiac arrhythmias analysis

Functional MRI study of brain function under resting and activated states

Accurate reconstruction of brain activity and functional connectivity from noisy MEG data

A multi-level parcellation approach for brain functional connectivity analysis