Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing.

By Francis M. Miezin, L. Maccotta, J. Ollinger, Steven E. Petersen, Randy L. Buckner. NeuroImage, 2000

1,003 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/de19e3255dcc959f85d16e9b28807ca25c26b4cc

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Citations in the corpus

Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, methodology): “Task activations were modeled with a general linear model (GLM; (Miezin et al., 2000)) using in-house software written in IDL (Research Systems, Inc.).”
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).”
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; ”
The role of left inferior frontal and superior temporal cortex in sentence comprehension: localizing syntactic and semantic processes. (2003, positive): “numerous time points along the BOLD signal curve, thus providing a higher resolution of the BOLD response (Miezin et al., 2000).”
Trial-by-Trial Coupling of Concurrent Electroencephalogram and Functional Magnetic Resonance Imaging Identifies the Dynamics of Performance Monitoring (2005, background): “5 s) in relation to fMRI data acquisition to improve temporal resolution (Josephs et al., 1997; Miezin et al., 2000).”
Handbook of Functional MRI Data Analysis: Index (2011, background): “However, this is known to be false (Miezin et al., 2000), and these differences in the timing of hemodynamic responses across brain regions will be manifest as spurious causes in a Granger causality analysis.”
Decreased segregation of brain systems across the healthy adult lifespan (2014, methodology): “Functional images first were processed to reduce artifacts (62), register each individual’s magnetization-prepared rapid gradient echo (MP-RAGE) image to the adult-lifespan sample atlas, and resampled to 3-mm isotropic atlas space.”
Who did what to whom? The neural basis of argument hierarchies during language comprehension (2005, methodology): “All trials were presented with variable onset delays of 0, 500, 1000 or 1500 ms, thus leading to an oversampling of the actual image acquisition time of 2000 ms by a factor of 4 (Miezin et al., 2000).”
Functional Brain Networks Develop from a “Local to Distributed” Organization (2009, methodology): “Functional images were first processed to reduce artifacts [23,90].”
Precision functional mapping of individual human brains (2017, positive): “Task evoked activations were modeled individually for each voxel with a general linear model (GLM) (Miezin et al., 2000), using in-house image analysis software written in IDL (Research Systems, Inc.).”
Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015, neutral): “The HRF is said to characterize both the spatial and temporal averaging, however thesemay be different in different brain areas, especially since the vasculature is specialized in different brain areas (Miezin et al., 2000).”
The Feasibility of a Common Stereotactic Space for Children and Adults in fMRI Studies of Development (2002, methodology): “General Linear Model (GLM; Friston et al., 1994) on a voxel-by-voxel basis, identical to the way that such data are analyzed for actual experiments from our laboratory (e.g., Miezin et al., 2000; Ollinger et al., 2001a,b) and similar to analyses based on statistical parametric mapping (Friston et ”
Defining functional areas in individual human brains using resting functional connectivity MRI (2008, methodology): “(C) Functional images were processed to reduce artifacts (Fair et al., 2007b; Miezin et al., 2000).”
Review of methods for functional brain connectivity detection using fMRI (2008, background): “On one hand, correlation is sensitive to the shape of HRF, which has been reported to vary cross different subjects and different brain regions [20–24].”