Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains
By E. Bullmore, Christopher J. Long, John Suckling, J. Fadili, Gemma A. Calvert, Fernando O. Zelaya, T. Carpenter, M. Brammer. Human Brain Mapping, 2001
647 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Economics and Econometrics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/489cab05fcaab2c2f5e00a14c4a580d1196c577b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- D. Bassett
- E. Bullmore
- Vince D. Calhoun
- Yong He
- Karl J. Friston
- Stephen M. Smith
- Vinod Menon
In Economics and Econometrics
- Karl J. Friston
- Thomas E. Nichols
- E. Bullmore
- D. Bassett
- Satoru Hayasaka
- Vince D. Calhoun
- Dmytro Iatsenko
- Aneta Stefanovska
In Signal Processing
- Vince D. Calhoun
- T. Adalı
- Thomas E. Nichols
- Thierry Blu
- Michael A. Unser
- Yi-Ou Li
- Guillaume Flandin
- Keith J. Worsley
Citations in the corpus
- Integrated wavelet processing and spatial statistical testing of fMRI data (2004, positive): “, 2001), for which wavelet-based methods have also been proposed (Bullmore et al., 2001; Fadili and Bullmore, 2001).”
- Multivariate Model Specification for fMRI Data (2002, methodology): “For a valid test in nonindependent data, nonparametric techniques such as rerandomization can be applied (Bullmore et al., 2001) but these methods are generally time consuming.”
- WSPM: Wavelet-based statistical parametric mapping (2007, background): “Several approaches have been proposed, such as variance reconstruction or estimation of the residual in the spatial domain (Desco et al. (2005); Aston et al.”
- The temporal structures and functional significance of scale-free brain activity (2010, positive): “…Assessed by fMRI Since previous studies have demonstrated that the power spectrum of spontaneous fMRI signals also follows a power-law distribution (Bullmore et al., 2001; Fox et al., 2007), we investigated the scale-free dynamics in the fMRI signal and its power-law exponent across brain regions,…”
- Altered Resting State Complexity in Schizophrenia (2011, background): “, 2009b), and the Hurst exponent (Bullmore et al., 2001).”
- Nonstationary cluster-size inference with random field and permutation methods (2004, methodology): “Cluster-size tests, pioneered by Poline and Mazoyer (1993) and Friston et al. (1994), have been widely used in such investigations because of increased sensitivity to spatially extended signals, compared to voxel-intensity tests (Friston et al.”
- Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data (2011, methodology): “In the application of this model to fMRI data, we first apply temporal filtering to the signal to decorrelate the noise in the preprocessing stage (Burock and Dale, 2000; Bullmore et al., 2001; Woolrich et al., 2001).”
- Differential neural responses to overt and covert presentations of facial expressions of fear and disgust (2000, methodology): “We have developed a series of methods for dealing with this problem, which we have described and validated in detail (see Bullmore et al., 1996, 2001).”
- Nonparametric Permutation Tests for Functional Neuroimaging (2003, methodology): “Bullmore et al. (2001) use a wavelet transformation to account for more general forms of fMRI correlation.”
- Surrogate data for hypothesis testing of physical systems (2018, background): “The latter two were introduced in [108] for the first time, whilst the first was used in [109].”
- Controlling the familywise error rate in functional neuroimaging: a comparative review (2003, methodology): “Three strategies to deal with temporal dependence have be applied: Do nothing, resample ignoring autocorrelation [38]; use a randomized design and randomization test [39]; and de-correlate and then resample [40, 41, 40, 42].”
- The role of MT+/V5 during biological motion perception in Asperger Syndrome: An fMRI study (2007, neutral): “Linear regression was used to estimate signal changes in response to our experimental manipulation (Bullmore et al., 1999, 2001).”
- Distinct neural correlates of washing, checking, and hoarding symptom dimensions in obsessive-compulsive disorder. (2004, neutral): “Obsessions Aggressive 8 (50) 7 (44) Contamination 12 (75) 13 (81) Sexual 2 (13) 1 (6) Hoarding/saving 9 (56) 9 (56) Religious 5 (31) 3 (19) Symmetry 9 (56) 10 (63) Somatic 6 (38) 5 (31) Compulsions Washing 12 (75) 15 (94) Checking 13 (81) 13 (81) Repeating 11 (70) 8 (50) Counting 4 (25) 5 (31) Order”