Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses

By Daniel A. Handwerker, J. Ollinger, Mark D'Esposito. NeuroImage, 2004

1,028 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/894ae718197c528700bc4c8bf9a3b94bf4be6a7d

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In Cognitive Neuroscience

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Citations in the corpus

Delay-period Activity in the Prefrontal Cortex: One Function Is Sensory Gating (2005, methodology): “Additionally, it indicates that employing a participant-specific HRF can improve the sensitivity and magnitude estimates of the least-squares solution of the GLM over comparable analyses that employ a generic HRF model (Handwerker et al., 2004).”
Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data (2011, background): “However, prior research has demonstrated considerable variability in the shape of the HRF across subjects (Aguirre et al., 1998; Handwerker et al., 2004).”
Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis (2012, background): “Do Regional Differences in BOLD Response Hold Information About Brain Function? Hemodynamic responses vary across subjects and regions (15, 16).”
Network modelling methods for FMRI (2011, neutral): “However, it is known that the haemodynamic processes vary across brain areas and subjects, resulting in different lags between the neural processes and the BOLD data, with variations of up to at least 1 s (Handwerker et al., 2004; Chang et al., 2008).”
Perirhinal cortex supports encoding and familiarity-based recognition of novel associations. (2008, methodology): “An additional set of functional images was acquired while participants performed a visual-motor response task, in order to estimate subject-specific hemodynamic response functions (HRFs) (Handwerker et al., 2004).”
Modeling the Hemodynamic Response Function in fMRI: Efficiency, Bias and Mis-modeling (2008, background): “However, the shape of the HRF varies as a function of both task and brain region, and any fixed model will be misspecified for much of the brain (Birn et al., 2001; Handwerker et al., 2004; Marrelec et al., 2003; Wager et al., 2005).”
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models (2013, methodology): “3 Connection to Independence-Based Nonlinear Methods In fact, our method has a close connection to the independence-based method by Hoyer et al. (2009), generalizing the connection shown in Section 2.4. Using basic information-theoretic properties, we have under x → y H(x,y) = H(x)+H(y|x) = H(x)+H(y”
The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? (2008, positive): “Although values on the upper end of this range are unlikely to be accounted for by haemodynamic delays alone, values on the lower end arewithin range of natural haemodynamic delay variation (Aguirre et al., 1998b; Handwerker et al., 2004; Saad et al., 2001) suggesting that areas whose neurons fluctu”
Prediction of human errors by maladaptive changes in event-related brain networks (2008, methodology): “The associated HRF (Fig.”
Charting the Lower Superior Temporal Region, a New Motion-Sensitive Region in Monkey Superior Temporal Sulcus (2006, background): “It has been well documented that the hemodynamic response function (HRF) differs between cortical regions, although it is unclear how much of these differences reflect differences in neuronal properties or differences in vasculature (Schacter et al., 1997; Buckner et al., 1998; Robson et al., 1998; ”
Population receptive field estimates in human visual cortex (2008, background): “It may be, however, that the HRF varies across cortex within individuals (Handwerker et al., 2004; Miezin et al., 2000).”
Questions and controversies in the study of time-varying functional connectivity in resting fMRI (2020, positive): “It is well established that the shape of the hemodynamic response function varies across brain areas (Handwerker, Ollinger, & D’Esposito, 2004) and individuals (Aguirre, Zarahn, & D’Esposito, 1998), and emerging work suggests that neurovascular coupling may also vary across behavioral and bodily…”