메뉴 건너뛰기




Volumn , Issue , 2011, Pages 237-241

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

Author keywords

Adaptive; Filtering; fMRI BOLD; Functional Connectivity; Nonstationarity Test; Physiological Noise; Principal Component Analysis; Resting State; RV coefficient; Signal

Indexed keywords

ADAPTIVE; FMRI BOLD; FUNCTIONAL CONNECTIVITY; NON-STATIONARITIES; PHYSIOLOGICAL NOISE; PRINCIPAL COMPONENTS; RESTING STATE; RV COEFFICIENT; SIGNAL;

EID: 84857569826     PISSN: 21647143     EISSN: 21647151     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2011.6121661     Document Type: Conference Paper
Times cited : (4)

References (22)
  • 1
    • 0029166541 scopus 로고
    • Functional connectivity in the motor cortex of resting human brain using echo-planar MRI
    • Oct
    • B. Biswal, et al., "Functional connectivity in the motor cortex of resting human brain using echo-planar MRI," Magn Reson Med, vol. 34, pp. 537-41, Oct 1995.
    • (1995) Magn Reson Med , vol.34 , pp. 537-541
    • Biswal, B.1
  • 2
    • 0028190347 scopus 로고
    • Functional and effective connectivity in neuroimaging: A synthesis
    • K. J. Friston, "Functional and effective connectivity in neuroimaging: A synthesis," Human Brain Mapping, vol. 2, pp. 56-78, 1994.
    • (1994) Human Brain Mapping , vol.2 , pp. 56-78
    • Friston, K.J.1
  • 3
    • 0033776022 scopus 로고    scopus 로고
    • Mapping functionally related regions of brain with functional connectivity MR imaging
    • Oct
    • D. Cordes, et al., "Mapping functionally related regions of brain with functional connectivity MR imaging," AJNR Am J Neuroradiol, vol. 21, pp. 1636-44, Oct 2000.
    • (2000) AJNR Am J Neuroradiol , vol.21 , pp. 1636-1644
    • Cordes, D.1
  • 4
    • 57649221314 scopus 로고    scopus 로고
    • Influence of heart rate on the BOLD signal: The cardiac response function
    • Feb 1
    • C. Chang, et al., "Influence of heart rate on the BOLD signal: the cardiac response function," Neuroimage, vol. 44, pp. 857- 69, Feb 1 2009.
    • (2009) Neuroimage , vol.44 , pp. 857-869
    • Chang, C.1
  • 5
    • 35148820975 scopus 로고    scopus 로고
    • Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal
    • DOI 10.1016/j.neuroimage.2007.07.037, PII S1053811907006702
    • K. Shmueli, et al., "Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal," Neuroimage, vol. 38, pp. 306-20, Nov 1 2007. (Pubitemid 47534282)
    • (2007) NeuroImage , vol.38 , Issue.2 , pp. 306-320
    • Shmueli, K.1    Van Gelderen, P.2    De Zwart, J.A.3    Horovitz, S.G.4    Fukunaga, M.5    Jansma, J.M.6    Duyn, J.H.7
  • 6
    • 33746852686 scopus 로고    scopus 로고
    • Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI
    • Jul 15
    • R. M. Birn, et al., "Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI," Neuroimage, vol. 31, pp. 1536-48, Jul 15 2006.
    • (2006) Neuroimage , vol.31 , pp. 1536-1548
    • Birn, R.M.1
  • 7
    • 1842609636 scopus 로고    scopus 로고
    • Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal
    • Apr
    • R. G. Wise, et al., "Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal," Neuroimage, vol. 21, pp. 1652-64, Apr 2004.
    • (2004) Neuroimage , vol.21 , pp. 1652-1664
    • Wise, R.G.1
  • 8
    • 29244477177 scopus 로고    scopus 로고
    • Non-white noise in fMRI: Does modelling have an impact?
    • Jan 1
    • T. E. Lund, et al., "Non-white noise in fMRI: does modelling have an impact?," Neuroimage, vol. 29, pp. 54-66, Jan 1 2006.
    • (2006) Neuroimage , vol.29 , pp. 54-66
    • Lund, T.E.1
  • 9
    • 22144469412 scopus 로고    scopus 로고
    • The human brain is intrinsically organized into dynamic, anticorrelated functional networks
    • Jul 5
    • M. D. Fox, et al., "The human brain is intrinsically organized into dynamic, anticorrelated functional networks," Proc Natl Acad Sci U S A, vol. 102, pp. 9673-8, Jul 5 2005.
    • (2005) Proc Natl Acad Sci U S A , vol.102 , pp. 9673-9678
    • Fox, M.D.1
  • 10
    • 0034846506 scopus 로고    scopus 로고
    • fcMRI - Mapping functional connectivity or correlating cardiac-induced noise?
    • Sep
    • T. E. Lund, "fcMRI - mapping functional connectivity or correlating cardiac-induced noise?," Magn Reson Med, vol. 46, pp. 628-9, Sep 2001.
    • (2001) Magn Reson Med , vol.46 , pp. 628-629
    • Lund, T.E.1
  • 11
    • 34548014282 scopus 로고    scopus 로고
    • Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
    • Sep
    • M. D. Fox and M. E. Raichle, "Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging," Nat Rev Neurosci, vol. 8, pp. 700-11, Sep 2007.
    • (2007) Nat Rev Neurosci , vol.8 , pp. 700-711
    • Fox, M.D.1    Raichle, M.E.2
  • 12
    • 0030175198 scopus 로고    scopus 로고
    • AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
    • Jun
    • R. W. Cox, "AFNI: software for analysis and visualization of functional magnetic resonance neuroimages," Comput Biomed Res, vol. 29, pp. 162-73, Jun 1996.
    • (1996) Comput Biomed Res , vol.29 , pp. 162-173
    • Cox, R.W.1
  • 15
    • 77953759601 scopus 로고    scopus 로고
    • Testing Stationarity with Surrogates: A Time-Frequency Approach
    • P. Borgnat, et al., "Testing Stationarity With Surrogates: A Time-Frequency Approach," Signal Processing, IEEE Transactions on, vol. 58, pp. 3459-3470, 2010.
    • (2010) Signal Processing, IEEE Transactions on , vol.58 , pp. 3459-3470
    • Borgnat, P.1
  • 18
    • 0028998867 scopus 로고
    • Analysis of fMRI time-series revisited
    • Mar
    • K. J. Friston, et al., "Analysis of fMRI time-series revisited,"Neuroimage, vol. 2, pp. 45-53, Mar 1995.
    • (1995) Neuroimage , vol.2 , pp. 45-53
    • Friston, K.J.1
  • 21
    • 0345734447 scopus 로고    scopus 로고
    • Group analysis in functional neuroimaging: Selecting subjects using similarity measures
    • DOI 10.1016/j.neuroimage.2003.08.018
    • F. Kherif, et al., "Group analysis in functional neuroimaging: selecting subjects using similarity measures," Neuroimage, vol. 20, pp. 2197-208, Dec 2003. (Pubitemid 37543633)
    • (2003) NeuroImage , vol.20 , Issue.4 , pp. 2197-2208
    • Kherif, F.1    Poline, J.-B.2    Meriaux, S.3    Benali, H.4    Flandin, G.5    Brett, M.6
  • 22
    • 60149110530 scopus 로고    scopus 로고
    • How to compute reliability estimates and display confidence and tolerance intervals for pattern classifiers using the Bootstrap and 3-way multidimensional scaling (DISTATIS)
    • Mar 1
    • H. Abdi, et al., "How to compute reliability estimates and display confidence and tolerance intervals for pattern classifiers using the Bootstrap and 3-way multidimensional scaling (DISTATIS)," Neuroimage, vol. 45, pp. 89-95, Mar 1 2009.
    • (2009) Neuroimage , vol.45 , pp. 89-95
    • Abdi, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.