Mapping functionally related regions of brain with functional connectivity MR imaging.

By D. Cordes, V. Haughton, K. Arfanakis, G. Wendt, P. Turski, C. Moritz, Michelle Quigley, Mary Elizabeth Meyerand. AJNR. American journal of neuroradiology, 2000

987 citations recorded by the source corpus.

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Citations in the corpus

Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans (2010, unknown): “Networks associated with different functional systems including visual, motor, auditory, memory and language have been detected in resting state fMRI studies (Cordes et al., 2000; Vincent et al., 2006).”
An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. (2008, unknown): “, 1998), between the bilateral auditory areas (Cordes et al., 2000), within the language systems (Hampson et al.”
Efficiency of Functional Brain Networks and Intellectual Performance (2009, background): “, 1993) and is widely investigated by measuring the correlation between restingstate Blood Oxygen Level Dependent functional Magnetic Resonance Imaging time-series (Biswal et al., 1995; Cordes et al., 2000; Lowe et al., 2000; Beckmann et al., 2005; Achard et al., 2006; Damoiseaux et al., 2006; Van d”
Functional system and areal organization of a highly sampled individual human brain (2015, background): “Correspondence between group-level resting state correlation organization and task co-activation patterns has been amply documented (Cordes et al., 2000; Power et al., 2011; Smith et al., 2009; Wig et al., 2014a).”
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].”
Partial correlation for functional brain interactivity investigation in functional MRI (2006, background): “, 2004)? Once this has been addressed, it remains to decide on which part connectivity analysis should be performed: the raw signal, or the filtered signal? If filtered, what components should be kept? It is not yet obvious, what part of the signal carries the connectivity information (Arfanakis et ”
Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS) (2012, background): “A consistent observation is that regions with similar functional properties, such as the left and right somatomotor cortices, exhibit coherent BOLD fluctuations even in the absence of movement under resting conditions (Biswal et al., 1995; Cordes et al., 2000; De Luca et al., 2005; Fox et al., 2006b”
Reduced functional connectivity between V1 and inferior frontal cortex associated with visuomotor performance in autism (2005, background): “1 Hz (Cordes et al., 2000; Lowe et al., 1998b), which is below the typical frequency of task trials in activation studies.”
Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain (2009, background): “1 Hz) of resting-state fMRI BOLD time-series, which show a strong correlation between RSN regions during rest [Biswal et al., 1995; Cordes et al., 2000; Damoiseaux et al., 2006; Lowe et al., 1996; 2000; Xiong et al., 1999].”
Normalized Cut Group Clustering of Resting-State fMRI Data (2008, background): “Low frequency oscillations (ranging from 0.01 to 0.1 Hz) of resting-state functional Magnetic Resonance Imaging (fMRI) time-series are known to show correlated patterns between anatomical separated brain regions [1,6,7].”
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data (2011, methodology): “This method can be viewed as the meta-analytic analogue to seed-based connectivity analyses of resting state fMRI data [59-61].”
The cognitive control network: Integrated cortical regions with dissociable functions (2007, result): “Supporting this conclusion, Cordes et al. (2000) found very similar patterns across cortex when comparing fMRI functional activity (using motor, language, and visual tasks) and cortex-wide resting state correlations.”
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., 2000).”