Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.

By D. Cordes, V. Haughton, K. Arfanakis, J. Carew, P. Turski, C. Moritz, Michelle Quigley, Mary Elizabeth Meyerand. AJNR. American journal of neuroradiology, 2001

1,536 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/892c93051e2e6e70c4ba1294cea4ddf72772af9d

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Citations in the corpus

Normalized Cut Group Clustering of Resting-State fMRI Data (2008, methodology): “This marks an important differentiation between the results of this study and previous studies [2,17,19,26] and this difference is particular noteworthy as a number of studies have especially foccused on the motor and visual system during rest and reported two separate networks [1,6,10,11].”
Coherent spontaneous activity identifies a hippocampal-parietal memory network. (2006, background): “…fluctuations have been observed within systems associated with specific functions in the absence of those functions, such as the visual system in the absence of vision (Cordes et al. 2001; Nir et al. 2006) or the motor system in the absence of movement (Biswal et al. 1995; Cordes et al. 2001; Fig.”
Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. (2003, methodology): “Such covariation analysis has been applied in studies with subjects at rest (Biswal et al., 1997; Lowe et al., 1998; Xiong et al., 1999; Cordes et al., 2001), or engaged in a motor or cognitive task (Lumer and Rees, 1999; Cordes et al.”
Decoding subject-driven cognitive states with whole-brain connectivity patterns. (2012, background): “The temporal resolution is limited ultimately by the very low frequency of the BOLD signal fluctuations studied here (Cordes et al. 2001).”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, methodology): “…non-gray matter signals out of the fMRI signal (Weissenbacher et al., 2009), as well as the use of high sampling rates to prevent aliasing of high frequencies into the lower resting-state frequencies of interest (Cordes et al., 2001; Cordes et al., 2000; Van den Heuvel et al., 2008a,b,c).”
The effect of scan length on the reliability of resting-state fMRI connectivity estimates (2013, unknown): “The func- 134 tional images were then transformed to Talairach Atlas space (Talairach 135 and Tournoux, 1988), temporally band-pass filtered between 0.01 Hz 136 and 0.1 Hz (Cordes et al., 2001; Nir et al., 2008), and spatially smoothed 137 with a 3-dimensional Gaussian kernel (FWHM = 4 mm).”
Assessing functional connectivity in the human brain by fMRI. (2007, background): “1 Hz and below [62;63] that arises more from changes in blood oxygenation and T2* than from changes in blood flow [64;65].”
Tracking whole-brain connectivity dynamics in the resting state. (2014, unknown): “intrinsic low-frequency oscillations (Biswal et al. 1995; Cordes et al. 2001) mediated by underlying structural connectivity”
Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. (2007, unknown): “These temporal correlations are readily demonstrated in the resting state (i.e., in the absence of an explicit task; Biswal et al., 1995) and are contributed predominantly by low frequency (<0.1 Hz) fluctuations (Cordes et al., 2001).”
A method for functional network connectivity among spatially independent resting-state components in schizophrenia (2008, methodology): “Post-scan questionnaire confirmed subjects' alertness level during the scan.”
Fast transient networks in spontaneous human brain activity (2014, background): “These life times are markedly shorter in duration than the time scales typically associated with resting state networks, which have previously been shown to be dominated by frequencies below 0.1 Hz (Cordes et al., 2001).”
Influence of heart rate on the BOLD signal: the cardiac response function (2008, unknown): “1 Hz) (Cordes et al., 2001).”
A whole brain fMRI atlas generated via spatially constrained spectral clustering (2011, methodology): “Each voxel timecourse was band-pass filtered (0.009 Hz < f < 0.08 Hz) to remove frequencies not implicated in resting state FC [Cordes et al., 2001; Fox et al., 2005].”