Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain

Lee, Sung Ki; Yoon, Ho-Sub; Chung, Jun‐Young; Song, Miyeon; Park, HyunWook

doi:10.1016/j.jneumeth.2004.04.011

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…This approach closely follows the least‐squares estimation proposed by Marmarelis [ 1993]. For an adaptation of the technique to estimate the hemodynamic response function from fMRI data, see Lee et al [ 2004].…”

Section: Methodsmentioning

confidence: 99%

Oscillatory response function: Towards a parametric model of rhythmic brain activity

Ramkumar¹,

Parkkonen²,

Hari³

2009

Human Brain Mapping

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Rhythmic brain activity, measured by magnetoencephalography (MEG), is modulated during stimulation and task performance. Here, we introduce an oscillatory response function (ORF) to predict the dynamic suppression-rebound modulation of brain rhythms during a stimulus sequence. We derived a class of parametric models for the ORF in a generalized convolution framework. The model parameters were estimated from MEG data acquired from 10 subjects during bilateral tactile stimulation of fingers (stimulus rates of 4 Hz and 10 Hz in blocks of 0.5, 1, 2, and 4 s). The envelopes of the 17-23 Hz rhythmic activity, computed for sensors above the rolandic region, correlated 25%-43% better with the envelopes predicted by the models than by the stimulus time course (boxcar). A linear model with separate convolution kernels for onset and offset responses gave the best prediction. We studied the generalizability of this model with data from 5 different subjects during a separate bilateral tactile sequence by first identifying neural sources of the 17-23 Hz activity using cortically constrained minimum norm estimates. Both the model and the boxcar predicted strongest modulation in the primary motor cortex. For short-duration stimulus blocks, the model predicted the envelope of the cortical currents 20% better than the boxcar did. These results suggest that ORFs could concisely describe brain rhythms during different stimuli, tasks, and pathologies.

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Section: Methodsmentioning

confidence: 99%

Oscillatory response function: Towards a parametric model of rhythmic brain activity

Ramkumar¹,

Parkkonen²,

Hari³

2009

Human Brain Mapping

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“…These issues are by no means an exhaustive list of problems that face social scientists interested in using neuroimaging techniques such as the increasingly popular fMRI. Additional issues include the appropriate statistical procedures (Lee et al, 2004), analysis design for acceptable statistical significance calculations (Nature Neuroscience, 2001), and necessity of lesion studies for ruling out spurious relationships in imaging data (Adolphs, 2003: 166). It warrants restating that these methodological problems can migrate into the substance of the social scientific theories being evaluated.…”

Section: Neurological Activation and Observable Behaviormentioning

confidence: 99%

Neurological imaging as evidence in political science: a review, critique, and guiding assessment

Tingley

2006

Social Science Information

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Political scientists have access to a number of competing methodologies that marshal different forms of evidence for their arguments about political phenomena. Recently a new form of evidence has appeared in political science research and, more frequently, economics: spatially explicit and time-varying neurological activity of human subjects engaged in political or economic decision-making. As with any of the more standard methodologies, this approach carries with it a set of orienting theories linking hypotheses with the types of data induced to support or falsify these theories. While this new form of evidence is exciting, especially for the empirically minded social scientist, it deserves the utmost scrutiny. I provide a review of how neurological imaging is being used in the social sciences and consider several problems and prospects of using neuroimaging data in political science.

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Current Awareness in NMR in Biomedicine

2005

NMR Biomed.

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. Current dilemmas and future perspective for breast cancer screening with a focus on optimization of magnetic resonance spectroscopic imaging by advances in signal processing (Review). Isr Med Assoc J 6, (10) 610-618 (2004) Bjornerud A, Johansson L. Rikshospitalet Univ Hosp, Dept Radiol, NO-0027 Oslo, Norway. The utility of superparamagnetic contrast agents in MRI: Theoretical consideration and applications in the cardiovascular system (Reveiw).

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Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain

Cited by 4 publications

References 14 publications

Oscillatory response function: Towards a parametric model of rhythmic brain activity

Oscillatory response function: Towards a parametric model of rhythmic brain activity

Neurological imaging as evidence in political science: a review, critique, and guiding assessment

Current Awareness in NMR in Biomedicine

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