Literature DB >> 11167041

Post-stimulus response in hemodynamics observed by functional magnetic resonance imaging--difference between the primary sensorimotor area and the supplementary motor area.

T Nakai1, K Matsuo, C Kato, Y Takehara, H Isoda, T Moriya, T Okada, H Sakahara.   

Abstract

The blood oxygen level dependency (BOLD) contrast is a useful tool for functional neuroimaging based on the hemodynamic response to neuronal activation. We observed different hemodynamic responses in the BOLD signal between the primary sensorimotor area (SM1) and the supplementary motor area (SMA) in the sequential finger movement task. In the SMA, a stronger initial overshoot and a post-stimulus overshoot were observed. It was hypothesized from the time course analysis that the stronger initial overshoot reflected the activation of the SMA for motor control programming in the initial phase. Although the post-stimulus overshoot may be partially explained by cerebral blood flow (CBF) cerebral blood volume (CBV) uncoupling, its mechanism remained unknown. In the SM1, only the initial overshoot was observed and the level of BOLD signal was almost constant after the initial overshoot during the task period. These observations suggested that the BOLD signal is characterized by both CBF-CBV uncoupling and the neuronal activation characteristics in each region.

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Year:  2000        PMID: 11167041     DOI: 10.1016/s0730-725x(00)00217-4

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  5 in total

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Authors:  Michael P Harms; Jennifer R Melcher
Journal:  Hum Brain Mapp       Date:  2003-11       Impact factor: 5.038

2.  Complex spatio-temporal dynamics of fMRI BOLD: A study of motor learning.

Authors:  Eugene Duff; Jinhu Xiong; Binquan Wang; Ross Cunnington; Peter Fox; Gary Egan
Journal:  Neuroimage       Date:  2006-11-01       Impact factor: 6.556

3.  A coherent neurobiological framework for functional neuroimaging provided by a model integrating compartmentalized energy metabolism.

Authors:  Agnès Aubert; Luc Pellerin; Pierre J Magistretti; Robert Costalat
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-28       Impact factor: 11.205

4.  Multi-timescale modeling of activity-dependent metabolic coupling in the neuron-glia-vasculature ensemble.

Authors:  Renaud Jolivet; Jay S Coggan; Igor Allaman; Pierre J Magistretti
Journal:  PLoS Comput Biol       Date:  2015-02-26       Impact factor: 4.475

5.  Computational singular perturbation analysis of brain lactate metabolism.

Authors:  Dimitris G Patsatzis; Efstathios-Al Tingas; Dimitris A Goussis; S Mani Sarathy
Journal:  PLoS One       Date:  2019-12-17       Impact factor: 3.240

  5 in total

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