NDLI: Adaptive filtering for removing nonstationary physiological noise from resting state fMRI BOLD signals

Content Provider	IEEE Xplore Digital Library
Author	Piaggi, P. Menicucci, D. Gentili, C. Handjaras, G. Laurino, M. Piarulli, A. Guazzelli, M. Gemignani, A. Landi, A.
Copyright Year	2011
Description	Author affiliation: Dep. of Psychiatry, Neurobiology, Pharmacology and Biotechnology, University of Pisa, Italy (Gentili, C.; Guazzelli, M.) \|\| Dep. of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa, Italy (Handjaras, G.) \|\| EXTREME Centre, Scuola Superiore Sant'Anna, Pisa, Italy (Menicucci, D.; Laurino, M.; Piarulli, A.; Gemignani, A.) \|\| Dep. of Energy and Systems Engineering, University of Pisa, Italy (Piaggi, P.; Landi, A.)
Abstract	fMRI is used to investigate brain functional connectivity after removing nonneural components by General Linear Model (GLM) approach with a reference ventricle-derived signal as covariate. Ventricle signals are related to low-frequency modulations of cardiac and respiratory rhythms, which are nonstationary activities. Herein, we employed an adaptive filtering approach to improve removing physiological noise from BOLD signals. Comparisons between filtering approaches were performed by evaluating the amount of removed signal variance and the connectivity between homologous contralateral regions of interest (ROIs). The global connectivity between ROIs was estimated with a generalized correlation named RV coefficient. The mean ROI decrease of variance was •52% and •11%, for adaptive filtering and GLM, respectively. Adaptive filtering led to higher connectivity between grey matter ROIs than that obtained with GLM. Thus, adaptive filtering is a feasible method for removing the physiological noise in the low frequency band and to highlight resting state functional networks.
Starting Page	237
Ending Page	241
File Size	826467
Page Count	5
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121661
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fluctuations Filtering Noise Adaptive filters RV coefficient Time frequency analysis Nonstationarity Test Signal Functional Connectivity Adaptive fMRI BOLD Resting State Physiology Physiological Noise Principal Component Analysis Principal component analysis
Content Type	Text
Resource Type	Article

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